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[null,"Leadership and Management",null,"Computer Science Theory",null,"Mathematics & Statistics",null,"Communication",null,"Professional Services"]
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[null,"Business Psychology",null,null,null,"Probability & Statistics",null,null,null,"Technology"]
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[null,null,null,"Computer Graphics",null,"Data Analysis",null,"Critical Thinking",null,"Energy & Utilities"]
[null,"Functional Business",null,"Design and Product",null,"Data Analysis",null,"Creativity",null,"Heathcare and Life Sciences"]
[null,"Accounting",null,"Human Computer Interaction",null,null,null,"Problem Solving",null,"Manufacturing"]
[null,"Communication Roles",null,null,null,"Data Management",null,null,null,"Public Sector"]
[null,"Finance",null,"Software Engineering",null,"Data Management",null,"Teamwork",null,"Transport & Logistics"]
[null,"Human Resources",null,"Computer Architecture",null,null,null,"Teamwork",null,"Retail & Consumer"]
[null,"Marketing",null,"Computer Programming",null,"Data Science",null,"Collaboration",null,"Law"]
[null,"Research and Design",null,"DevOps",null,"Data Visualization",null,null,null,"Defense"]
[null,"Sales",null,"Mobile Development",null,"Statistical Programming",null,"Influencing"]
[null,"Strategy and Operations",null,"Software Engineering",null,null,null,"Influencing"]
[null,"Supply Chain and Logistics",null,"Web Development",null,"Artificial Intelligence",null,"Negotiating"]
[{"$nulls":5},"Machine Learning",null,"Conflict Management"]
[null,"Entrepreneurship",null,"Infrastructure"]
[null,"Entrepreneurship",null,"Computer Networking",null,null,null,"Mindset"]
[null,null,null,"Databases",null,null,null,"Adaptability"]
[null,null,null,"Operating Systems",null,null,null,"Learning"]
[{"$nulls":7},"Resilience"]
[null,null,null,"Cloud",null,null,null,"Emotional Intelligence"]
[null,null,null,"Cloud Computing"]
[]
[null,null,null,"Cybersecurity"]
[null,null,null,"Security Engineering"]
[]
[null,null,null,"Emerging Technologies"]
[null,null,null,"Emerging Technologies"]

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[null,"Leadership and Management",null,"Computer Science Theory",null,"Mathematics & Statistics",null,"Communication",null,"Professional Services"]
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[null,"Change Management",null,"Algorithms",null,"Algebra",null,null,null,"Technology"]
[null,"Culture",null,"Computational Logic",null,"Applied Mathematics",null,"Problem Solving",null,"Telecommunications & Media"]
[null,"Leadership Development",null,"Computational Thinking",null,"Calculus",null,"Critical Thinking",null,"Energy & Utilities"]
[null,"Organizational Development",null,"Cryptography",null,"Combinatorics",null,"Creativity",null,"Heathcare and Life Sciences"]
[null,"People Development",null,"Data Structures",null,"Differential Equations",null,"Problem Solving",null,"Manufacturing"]
[null,"Personal Development",null,"Database Theory",null,"Game Theory",null,null,null,"Public Sector"]
[null,"Planning",null,"Microarchitecture",null,"Graph Theory",null,"Teamwork",null,"Transport & Logistics"]
[null,"Professional Development",null,"Software Architecture",null,"Linear Algebra",null,"Teamwork",null,"Retail & Consumer"]
[null,"Strategy",null,"Systems Design",null,"Mathematical Theory & Analysis",null,"Collaboration",null,"Law"]
[{"$nulls":5},"Network Analysis",null,null,null,"Defense"]
[null,"Business Psychology",null,"Design and Graphics",null,null,null,"Influencing"]
[null,"Behavioral Economics",null,"Design and Product",null,"Probability & Statistics",null,"Influencing"]
[null,"Marketing Psychology",null,"Product Design",null,"Basic Descriptive Statistics",null,"Negotiating"]
[null,"Organizational Development",null,"Product Development",null,"Bayesian Statistics",null,"Conflict Management"]
[null,"People Development",null,"Product Lifecycle",null,"Bioinformatics"]
[null,"Personal Development",null,"Product Management",null,"Biostatistics",null,"Mindset"]
[null,"Training and Culture",null,"Product Marketing",null,"Correlation And Dependence",null,"Adaptability"]
[null,"User Experience Design",null,"Product Strategy",null,"Econometrics",null,"Learning"]
[null,null,null,"Technical Product Management",null,"Epidemiology",null,"Resilience"]
[null,"Business Analysis",null,"User Research",null,"Estimation",null,"Emotional Intelligence"]
[null,"Business Intelligence",null,null,null,"Experiment"]
[null,"Business Transformation",null,"Human Computer Interaction",null,"Exploratory Data Analysis"]
[null,"Customer Analysis",null,"Human Factors (Security)",null,"Forecasting"]
[null,"Data Visualization Software",null,"Interactive Design",null,"Geostatistics"]
[null,"Exploratory Data Analysis",null,"User Experience",null,"Probability Distribution"]
[null,"Financial Analysis",null,"User Research",null,"Regression"]
[null,"Operational Analysis",null,"Virtual Reality",null,"Statistical Tests"]
[null,"People Analysis",null,null,null,"Statistics"]
[null,"Process Analysis",null,"Computer Graphics"]
[null,"Spreadsheet Software",null,"Computer Graphic Techniques",null,"Data Analysis"]
[null,"Statistical Analysis",null,"Graphic Design",null,"Data Analysis"]
[null,null,null,"Graphics Software",null,"Basic Descriptive Statistics"]
[null,"Functional Business",null,"Interactive Design",null,"Data Analysis Software"]
[null,"Accounting",null,"Virtual Reality",null,"Data Mining"]
[null,"Financial Analysis",null,null,null,"Exploratory Data Analysis"]
[null,"General Accounting",null,"Software Engineering",null,"Financial Analysis"]
[null,"Generally Accepted Accounting Principles (GAAP)",null,"Computer Programming",null,"Spatial Data Analysis"]
[null,"Management Accounting",null,"C Programming Language Family",null,"Statistical Analysis"]
[null,"Taxes",null,"Computational Thinking"]
[null,null,null,"Computer Programming Tools",null,"Data Management"]
[null,"Communication Roles",null,"Java Programming",null,"Data Management"]
[null,"Advertising",null,"Javascript",null,"Apache"]
[null,"Advertising Sales",null,"Other Programming Languages",null,"Big Data"]
[null,"Business Communication",null,"Programming Principles",null,"Business Intelligence"]
[null,"Customer Support",null,"Python Programming",null,"Clinical Data Management"]
[null,"Employee Relations",null,"Software Framework",null,"Data Architecture"]
[null,"Journalism",null,"System Programming",null,"Data Model"]
[null,"Marketing Management",null,null,null,"Data Structure"]
[null,"Media Production",null,"Software Engineering",null,"Data Warehousing"]
[null,"Media Strategy & Planning",null,"Agile Software Development",null,"Database Application"]
[null,"Public Relations",null,"Application Development",null,"Extract, Transform, Load"]
[null,"Social Media",null,"Software Architecture",null,"SQL"]
[null,"Writing",null,"Software Engineering Tools"]
[null,null,null,"Software Security",null,"Data Science"]
[null,"Finance",null,"Software Testing",null,"Statistical Programming"]
[null,"Banking",null,null,null,"Arcgis"]
[null,"Billing & Invoicing",null,"Mobile Development",null,"Knitr"]
[null,"BlockChain",null,"Android Development",null,"Minitab"]
[null,"Budget Management",null,"Cross Platform Development",null,"PostgreSQL"]
[null,"Customer Relationship Management",null,"iOS Development",null,"Python Programming"]
[null,"Financial Management",null,"Java Programming",null,"R Programming"]
[null,"FinTech",null,"Mobile Development Tools",null,"SAS (Software)"]
[null,"Investment Management",null,"Mobile Security",null,"SPSS"]
[null,"Mergers & Acquisitions",null,"Other Mobile Programming Languages",null,"SQL"]
[null,"Payments",null,"Swift Programming",null,"Stata"]
[null,"Regulations and Compliance"]
[null,"Risk Management",null,"Web Development",null,"Data Visualization"]
[null,"Securities Sales",null,"Angular",null,"Data Visualization Software"]
[null,"Securities Trading",null,"Back-End Web Development",null,"Geovisualization"]
[null,"Underwriting",null,"Front-End Web Development",null,"Interactive Data Visualization"]
[null,null,null,"Full-Stack Web Development",null,"Plot (Graphics)"]
[null,"Human Resources",null,"HTML and CSS",null,"Scientific Visualization"]
[null,"Benefits",null,"Javascript",null,"Software Visualization"]
[null,"Compensation",null,"Other Web Frameworks",null,"Spatial Analysis"]
[null,"Employee Relations",null,"Other Web Programming Languages",null,"Statistical Visualization"]
[null,"HR Tech",null,"React (web framework)",null,"Visualization (Computer Graphics)"]
[null,"Human Resources Operations",null,"Web Design"]
[null,"Leadership Development",null,"Web Development Tools",null,"Artificial Intelligence"]
[null,"People Analysis",null,null,null,"Machine Learning"]
[null,"People Development",null,"DevOps",null,"Applied Machine Learning"]
[null,"Recruitment",null,"Continuous Delivery",null,"Artificial Neural Network"]
[null,"Talent Management",null,"Continuous Integration",null,"Bayesian Network"]
[null,"Training",null,"Devops Tools",null,"Computer Vision"]
[{"$nulls":5},"Deep Learning"]
[null,"Marketing",null,"Computer Architecture",null,"Dimensionality Reduction"]
[null,"Advertising",null,"Distributed Computing Architecture",null,"Feature Engineering"]
[null,"Advertising Sales",null,"Hardware Design",null,"Machine Learning Algorithms"]
[null,"Brand Management",null,"Microarchitecture",null,"Machine Learning Software"]
[null,"Customer Relationship Management",null,null,null,"Markov Model"]
[null,"Digital Marketing",null,"Infrastructure",null,"Natural Language Processing"]
[null,"Market Analysis",null,"Databases",null,"Reinforcement Learning"]
[null,"MarTech",null,"Database Administration",null,"Statistical Machine Learning"]
[null,"Media Strategy & Planning",null,"Database Design"]
[null,"Packaging and Labeling",null,"Database Theory"]
[null,"Public Relations",null,"NoSQL"]
[null,"Social Media",null,"SQL"]
[null,"Strategy"]
[null,null,null,"Computer Networking"]
[null,"Research and Design",null,"Network Architecture"]
[null,"Business Design",null,"Network Model"]
[null,"Business Research",null,"Network Security"]
[null,"Innovation",null,"Networking Hardware"]
[null,"Market Research",null,"Software-Defined Networking"]
[null,"Marketing Design"]
[null,"Operations Research",null,"Operating Systems"]
[null,"Persona Research",null,"System Programming"]
[null,"Survey Creation",null,"System Security"]
[null,"User Experience Design",null,"System Software"]
[null,"Visual Design",null,"Systems Design"]
[]
[null,"Sales",null,"Cloud"]
[null,"Account Management",null,"Cloud Computing"]
[null,"Advertising Sales",null,"Amazon Web Services"]
[null,"B2B Sales",null,"Cloud Api"]
[null,"Business Development",null,"Cloud Applications"]
[null,"Customer Success",null,"Cloud Clients"]
[null,"E-Commerce",null,"Cloud Engineering"]
[null,"Inside Sales",null,"Cloud Foundry"]
[null,"Insurance Sales",null,"Cloud Infrastructure"]
[null,"Merchandising",null,"Cloud Load Balancing"]
[null,"Outside Sales",null,"Cloud Management"]
[null,"Prospecting and Qualification",null,"Cloud Platforms"]
[null,"Retail Sales",null,"Cloud Standards"]
[null,"Sales Systems",null,"Cloud Storage"]
[null,"Solution Sales Engineering",null,"Cloud-Based Integration"]
[null,"Strategy",null,"Google App Engine"]
[null,null,null,"Google Cloud Platform"]
[null,"Strategy and Operations",null,"IBM Cloud"]
[null,"Business Process Management",null,"Kubernetes"]
[null,"Change Management",null,"Microsoft Azure"]
[null,"Contract Management",null,"Other Cloud Platforms and Tools"]
[null,"Customer Success",null,"Semantic Web"]
[null,"Operations Management",null,"Small Data"]
[null,"Operations Research",null,"Software As A Service"]
[null,"People Management"]
[null,"Performance Management",null,"Cybersecurity"]
[null,"Product Management",null,"Security Engineering"]
[null,"Project Management",null,"Computer Security Incident Management"]
[null,"Strategy",null,"Computer Security Models"]
[null,"Vendor Management",null,"Cryptography"]
[null,null,null,"Cyberattacks"]
[null,"Supply Chain and Logistics",null,"Human Factors (Security)"]
[null,"Customer Support",null,"Mobile Security"]
[null,"Facility Management",null,"Network Security"]
[null,"Inventory Management",null,"Security Software"]
[null,"Material Handling",null,"Security Strategy"]
[null,"Operational Analysis",null,"Software Security"]
[null,"Planning",null,"System Security"]
[null,"Procurement"]
[null,"Retail Store Operations",null,"Emerging Technologies"]
[null,"Shipping and Receiving",null,"Emerging Technologies"]
[null,"Store Management"]
[null,"Supplier Relationship Management"]
[null,"Supply Chain Systems"]
[null,"Transportation Operations Management"]
[null,"Warehouse Management"]
[]
[null,"Entrepreneurship"]
[null,"Entrepreneurship"]
[null,"Business Process Management"]
[null,"Entrepreneurial Finance"]
[null,"Innovation"]
[null,"Market Research"]
[null,"Organizational Development"]
[null,"People Development"]
[null,"People Management"]
[null,"Planning"]
[null,"Product Management"]
[null,"Strategy"]

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[]
["Business","Back to summary page","This sheet collates the top recommended business courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team"]
[]
["Competency","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["Accounting","Best Courses","Accounting: Principles of Financial Accounting","IESE Business School","Beginner",17.3,4.84,"https://www.coursera.org/learn/financial-accounting","Financial Accounting is often called the language of business; it is the language that managers use to communicate the firm's financial and economic information to external parties such as shareholders and creditors. Nobody working in business can afford financial illiteracy. Whether you run your own business, work as a manager or are just starting your career, you want to understand financial information and be able to interact with accountants, controllers, and financial managers. You want to talk business! \\n\\nThis course will provide you with the accounting language's essentials. Upon completion, you should be able to read and interpret financial statements for business diagnosis and decision-making. More importantly, you will possess the conceptual base to keep learning more sophisticated accounting and finance on your own. Do not forget that, as with any other language, becoming proficient with accounting requires constant practice.","flow-network; financial-accounting; income-statement; accounting; analysis; balance-sheet; financial-statement; income; finance; cash-flow","Foundations of Management",1.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.3,19.9]","Arabic","English","business","finance","eBEnnYkqEeWGBwqGAoUFww"]
["Accounting","Best Courses","Accounting Analysis I: The Role of Accounting as an Information System","University of Illinois at Urbana-Champaign","Intermediate",30.6,4.86,"https://www.coursera.org/learn/accounting-information-system","This course is the first course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors).  To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www.coursera.org/specializations/accounting-fundamentals). This Specialization focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes.  Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users understand the financial reports.  \\n\\nAfter a brief introduction to the course, we will spend time understanding the overall financial accounting structure and standards as well as review the fundamental accounting process used to prepare the financial statements, which will establish a framework for the study of the concepts in the remaining courses in the Financial Reporting Specialization. In this course, we will begin our review of key information included in the Balance Sheet and Income Statement and their related financial disclosures. The Statement of Cash Flows will be introduced briefly with more discussion to follow in later courses of the Specialization.  Also, we will provide a cursory review of key concepts involving time value of money as we will finish this course with focus on revenue recognition, including discussion of the new revenue standard.  We will review the general approach for recognizing revenue, special issues affecting revenue recognition including long-term construction contracts. In addition, we will discuss and review common ratios used in profitability analysis. \\n\\nThe University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa","accounting; analysis; accounting-analysis; revenue; account-analysis; finance; financial-accounting; revenue-recognition; balance-sheet; financial-statement","Financial Reporting",1.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[13.9,31.8]","NA","English","business","business-essentials","2zesAZFiEeaDSw63XnFBtQ"]
["Accounting","Best Courses","Accounting Analysis I: Measurement and Disclosure of Assets","University of Illinois at Urbana-Champaign","Advanced",25.4,4.84,"https://www.coursera.org/learn/asset-measurement-disclosure","**NOTE: You should complete the Accounting Analysis I: The Role of Accounting as an Information System course or be familiar with the concepts taught there before beginning this course.**\\n\\nThis course is the second course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors).  To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www.coursera.org/specializations/accounting-fundamentals). This Specialization focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes.  Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users understand the financial reports.  \\n\\nIn this course, we will begin our review of key asset categories underlying the Balance Sheet concepts that were introduced in the previous course.  We will begin our trek down the Balance Sheet by reviewing cash and receivables, which are normally the two assets listed first. We will continue our trek down the Balance Sheet by looking at inventory and long-Lived Assets, which are normally two of the largest asset values. We will review the measurement and reporting issues involving Inventories and the corresponding cost of goods sold expense in the Income Statement. In the latter half of this course we will conclude our review of key asset categories by looking at both tangible and intangible long-lived assets that are so vital to the production of goods and services. This will entail discussion of both acquisition and disposition of property, plant and equipment as well as cost allocation. Next, we will discuss possible impairment of these assets as well as the proper treatment of expenditures made after acquisition. Lastly, we will review how to identify and account for Investments.\\n\\nThe University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa","finance; intangibles; accounting; accounting-analysis; account-analysis; financial-statement; inventory-cost; inventory; analysis; amortization","Financial Reporting",2.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[14.7,30.7]","NA","English","business","business-essentials","nUlyPJI_Eea27BJAJAr7dQ"]
["Accounting","Best Courses","Accounting Analysis II: Measurement and Disclosure of Liabilities","University of Illinois at Urbana-Champaign","Advanced",34.8,4.79,"https://www.coursera.org/learn/accounting-analysis-2-liabilities","This course is the third course in the five-course Financial Reporting Specialization. This course begins with a discussion of current liabilities and contingencies and continues with long-term debt and bonds.  The course next explores accounting model for leases, both lessees and lessors, and a discussion on deferred tax assets and liabilities. Participants will learn the latest accounting standards including the new accounting model for leases effective for public companies in 2019 and private companies in 2020.","asset; finance; current-liability; financial-statement; accounting; troubled-debt-restructuring; income-tax; deferred-tax; term-time; debt","Financial Reporting",3.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[16.4,43.1]","NA","English","business","business-essentials","bKp6XUogEee4pw7hxA2o1A"]
["Accounting","Best Courses","Accounting Analysis II: Accounting for Liabilities and Equity","University of Illinois at Urbana-Champaign","Advanced",28.8,4.73,"https://www.coursera.org/learn/accounting-analysis-2-equity","This course is the fourth course in a five-course Financial Reporting Specialization. This course focuses on the recognition, measurement and subsequent accounting for equity, pensions, share-based compensation and cash flows utilizing the FASB Accounting Standards Codification and other resources.","flow-network; pensions; common-stock; stock; accounting; earnings-per-share; cash-flow-statement; financial-statement; finance; cash-flow","Financial Reporting",4.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[13.8,47.5]","NA","English","business","business-essentials","tMo47kogEeeMtBKozo_2UA"]
["Accounting","Best Courses","Understanding Financial Statements: Company Position","University of Illinois at Urbana-Champaign","Beginner",8.1,4.72,"https://www.coursera.org/learn/financial-statements","This course is designed to provide a basic understanding of financial statements with an emphasis on the balance sheet. However, to understand accounting driven financial statements, it is important to recognize that accounting is less about counting and more about measuring. “What is it that is being measured?” Well, as the course unfolds, you will learn about the three measurement questions and how the balance sheet helps to answer the first two of these questions. By touring a real company and interviewing real business people, the course describes the basic content of financial statements in a simple yet relevant context. The goal of the course is to leave a lasting impression about what balance sheet consists of and what it reveals. The next course in the Fundamentals of Accounting Specialization completes the conversation by addressing the remaining measurement question.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tDescribe the purpose of a balance sheet.\\n•\\tDefine the three components of a balance sheet.\\n•\\tRecognize and understand the meaning of several items typically presented on a balance sheet. \\n•\\tExplain the broader purpose of financial statements and the role of accounting in producing the financial statements.\\n•\\tRead and, to some extent, interpret real-world balance sheets.\\n\\nIf you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","accounting; balance-sheet; income-statement; finance; financial-statement; accounting-terminology; interpretation; ordered-pair; learning; income","Fundamentals of Accounting",1.0,"https://www.coursera.org/specializations/accounting-fundamentals","Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.\\n\\nIn this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.","[4.8,9.1]","NA","English","business","business-essentials","2g7bdO-KEeWTgg7cwVeSqQ"]
["Accounting","Best Courses","Understanding Financial Statements: Company Performance","University of Illinois at Urbana-Champaign","Beginner",7.2,4.65,"https://www.coursera.org/learn/income-statement","This course is designed to provide a basic understanding of financial statements with an emphasis on the income statement. Building on the foundation formed in the first course, you will learn about the third of our three measurement questions and how the income statement helps to answer this final measurement question. Returning to the real business people introduced in the first course, this second course describes the basic content of income statement in a simple yet relevant context. The course ends by summarizing many of the lessons learned in both courses to leave you with a lasting impression about what financial statements are and how accounting can work for you. We all know that accounting is “the language of business”; let’s make learning this language engaging, and perhaps even fun!\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tDescribe the purpose of an income statement.\\n•\\tDefine the basic components of an income statement.\\n•\\tRecognize and understand the meaning of several items typically presented on an income statement. \\n•\\tExplain the broader purpose of financial statements and the role of accounting in producing the financial statements.\\n•\\tRead and, to some extent, interpret real-world income statements.\\n\\nIf you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","flow-network; financial-statement; accounting; income-statement; analysis; financial-ratio; performance; finance; income; cash-flow","Fundamentals of Accounting",2.0,"https://www.coursera.org/specializations/accounting-fundamentals","Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.\\n\\nIn this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.","[4.2,8.4]","NA","English","business","business-essentials","Yj9bIu-LEeWJRgpWnDLcCw"]
["Accounting","Best Courses","Auditing I: Conceptual Foundations of Auditing","University of Illinois at Urbana-Champaign","Advanced",33.5,4.49,"https://www.coursera.org/learn/auditing-part1-conceptual-foundations","This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors’ professional responsibilities as well as major facets of the audit process including risk assessment and audit reporting. In the U.S. financial-statement audits and related services generally are provided by Certified Public Accountants (CPAs). To succeed in this course, you should anticipate engaging in critical thinking and thoughtful communication about audit professionals' decision environments, decision processes, and deliverables. Additionally, you should understand the macro-level learning objectives in each of the course's weekly modules.","finance; financial-auditing; audit-risk; internal-control; risk; audit; internal-audit; financial-audit; financial-statement; internality","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.3,38.1]","NA","English","business","business-essentials","RqpO5PZcEeeLtRL2HSwRMA"]
["Accounting","Best Courses","Auditing II: The Practice of Auditing","University of Illinois at Urbana-Champaign","Advanced",25.4,4.71,"https://www.coursera.org/learn/auditing-part2-the-practice","This course provides a continuation of the intensive conceptual and applied introduction to auditing in society begun in Auditing I: Conceptual Foundations of Auditing. It focuses on a conceptual framework that is applied by audit professionals to assess, evaluate, and manage audit risks and evidence.","audit-risk; audit; maxdiff; financial-auditing; internal-audit","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.5,39.1]","NA","English","business","business-essentials","VVX5tvcOEee3uhJW7jRYrg"]
["Accounting","Best Courses","Taxation of Business Entities I: Corporations","University of Illinois at Urbana-Champaign","Advanced",33.6,4.66,"https://www.coursera.org/learn/taxation-business-entities-part-1","This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","tax-law; income; studentized-residual; liquidation; income-tax; restructuring; accounting; corporate-taxation; taxation; corporate-bond","U.S. Federal Taxation",3.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[16.2,43]","NA","English","business","business-essentials","wvZRZ0okEeeOdhJtXwU6ZA"]
["Accounting","General Accounting","Management and financial accounting: Know your numbers 1","Macquarie University","Beginner",5.0,4.62,"https://www.coursera.org/learn/management-accounting","Financial literacy is a fundamental capability for any business leader, whether you are running your own small business/start-up or working at a large organisation. This course will provide you with a sound foundational understanding of financial and management accounting, and how to use accounting to facilitate and align decisions made by owners, managers and employees. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will develop the ability to seek out financial opportunities and avoid financial misadventure. You’ll learn how to organise, create, interpret and communicate important financial information effectively, which will help you improve your organisation’s internal procedures and processes.","management; accounting; financial-literacy; data-analysis; management-accounting; finance; financial-management; salesforce; small-business; tableau-software","Analysing: Numeric and digital literacies",1.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[1.1,4.5]","NA","English","business","business-essentials","InqtV6WiEeiDiw4YwP822A"]
["Accounting","General Accounting","Accounting and Finance for IT professionals","Indian School of Business","Intermediate",9.9,4.34,"https://www.coursera.org/learn/accounting-finance","This course presents an introduction to the basics of financial accounting and finance for IT professionals. The first part of the course will focus on understanding the most important financial statements, namely, the balance sheet, the income statement, and the statement of cash flows. We will then focus on how we can understand the financial health and performance of the company by examining a number of important financial ratios that are derived from the financial statements of the company. The second part of the course will focus on the basics of finance. This includes the concept of time value of money, discounting cash flows, and capital budgeting. The course will also introduce the idea of real options, how they affect a project’s NPV, and their impact of the decision to accept/reject a project. Lectures on concepts will be supplemented with numerical examples.","accounting; budget; project; capital-budgeting; financial-management; payback-period; finance; management; financial-statement; analysis","Business Technology Management",3.0,"https://www.coursera.org/specializations/business-technology-managment","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[5.2,12.9]","Arabic","English","business","finance","OQqd3CKUEea_Tw6lQjVd3w"]
["Accounting","General Accounting","Financial Accounting: Foundations","University of Illinois at Urbana-Champaign","Intermediate",15.3,4.71,"https://www.coursera.org/learn/financial-accounting-basics","In this course, you will learn foundations of financial accounting information. You will start your journey with a general overview of what financial accounting information is and the main financial statements. You will then learn how to code financial transactions in financial accounting language. In the meantime, you will learn about the most important concept in contemporary financial accounting: accrual accounting. You will then critically analyze how firms recognize revenues. Finally, you will finish the course with an analysis of accounting for short-term assets where you will go into detail on how firms account for accounts receivables and inventories. \\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand main financial statements and the financial information they provide\\n•\\tWrite a financial transaction in financial accounting language and understand how this impacts main financial statements\\n•\\tUnderstand how accrual accounting and fundamental accounting concepts work\\n•\\tUnderstand revenue recognition principles and how they impact main financial statements\\n•\\tAccount for accounts receivables and inventories.  \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","income-statement; financial-statement; financial-accounting; inventory; accounting; basis-of-accounting; balance-sheet; income; finance; accrual","Financial Management",1.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[8.6,17.7]","NA","English","business","finance","6K8l2CwFEeaU1xK12iolBQ"]
["Accounting","General Accounting","Financial Accounting: Advanced Topics","University of Illinois at Urbana-Champaign","Advanced",11.6,4.7,"https://www.coursera.org/learn/financial-accounting-advanced","In this course, you will explore advanced topics in financial accounting. You will start your journey with accounting for assets with more than one-year life. You will learn in detail how firms account for fixed assets. You will then move to financing of assets and discuss accounting for liabilities. The course will continue with an in-depth exploration of shareholders’ equity. Finally, you will critically evaluate preparation, components, and analysis of cash flows statement. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tAccount for fixed assets\\n•\\tUnderstand accounting for liabilities\\n•\\tEvaluate shareholders’ equity section of a balance sheet\\n•\\tUnderstand preparation and information provided by cash flows statement\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","cash-flow-statement; financial-accounting; flow-psychology; fixed-asset; asset; accounting; financial-statement; finance; flow-network; cash-flow","Financial Management",2.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[5.5,13.4]","NA","English","business","finance","KinX8iwGEeaA3A6P4rV07Q"]
["Accounting","General Accounting","Accounting: Principles of Financial Accounting","IESE Business School","Beginner",17.3,4.84,"https://www.coursera.org/learn/financial-accounting","Financial Accounting is often called the language of business; it is the language that managers use to communicate the firm's financial and economic information to external parties such as shareholders and creditors. Nobody working in business can afford financial illiteracy. Whether you run your own business, work as a manager or are just starting your career, you want to understand financial information and be able to interact with accountants, controllers, and financial managers. You want to talk business! \\n\\nThis course will provide you with the accounting language's essentials. Upon completion, you should be able to read and interpret financial statements for business diagnosis and decision-making. More importantly, you will possess the conceptual base to keep learning more sophisticated accounting and finance on your own. Do not forget that, as with any other language, becoming proficient with accounting requires constant practice.","flow-network; financial-accounting; income-statement; accounting; analysis; balance-sheet; financial-statement; income; finance; cash-flow","Foundations of Management",1.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.3,19.9]","Arabic","English","business","finance","eBEnnYkqEeWGBwqGAoUFww"]
["Accounting","General Accounting","Managerial Accounting Fundamentals","University of Virginia","Intermediate",14.6,4.83,"https://www.coursera.org/learn/uva-darden-managerial-accounting","This course will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. \\n\\nBy the end of this course, you will be able to:\\n- Describe different types of costs and how they are represented graphically\\n- Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit\\n- Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems\\n- Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision\\n- Determine a reasonable course of action, given the financial impact, for a given management decision","analysis; cost; job-costing; accounting; break-even; cost-benefit-analysis; management-accounting; finance; cost-allocation; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,18.9]","NA","English","business","finance","IMUdhjZyEeei6hJT8psMrA"]
["Accounting","General Accounting","Financial Accounting Fundamentals","University of Virginia","Beginner",19.6,4.82,"https://www.coursera.org/learn/uva-darden-financial-accounting","This course will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and \"your turn\" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health.\\n\\nBy the end of this course, you will be able to:\\n- Use journal entries to record transactions\\n- Prepare and use t-accounts to summarize transactions recorded during an accounting period\\n- Describe the three most commonly used financial statements and how they fit together\\n- Prepare these financial statements based on transactions recorded during an accounting period\\n- Draw basic conclusions about a company's financial health","financial-accounting; flow-network; finance; income-statement; cash-flow-statement; accounting; income; balance-sheet; financial-statement; cash-flow","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,24.3]","NA","English","business","business-essentials","XvJBLJVHEea0-w59UvC4Ag"]
["Accounting","General Accounting","Accounting, Business and Society:  The Multi-faceted Role of Accounting","The Hong Kong University of Science and Technology","Intermediate",7.3,4.82,"https://www.coursera.org/learn/accounting-business-society","Course Overview: https://youtu.be/v1JJ8y_Zq5U\\n\\nAccounting professionals are open up for more tasks and duties that require their professional skills and knowledge nowadays, and yet not exerting their expertise just the way it used to be. Without bogging you down with the mechanics of accounting, this course provides an overview of the multi-faceted role of accounting in business and social contexts. \\n\\nYou will get to know the essential of businesses and how they must work around the notions of ethics, the corporate governance (CG) framework and how accountants function as one of the key players in the practices. An thriving area of corporate social responsibility (CSR) is also discussed.\\n\\nAn illustrative approach will be adopted and you will be surprised by how closely accounting is related to things happening around you in your daily lives. \\n\\nBy the end of the course, you are able to:\\n\\n• Describe the accounting process and different forms of business entities \\n\\n• Explain the regulatory framework of accounting profession, and how the profession can serve information needs of stakeholders of different forms of business entities\\n\\n• Describe the broad framework of ethics, corporate governance, and corporate social responsibility, and their interrelationships\\n\\n• Demonstrate the knowledge and respect of ethical behaviour of individuals, businesses, and professionals including accountants in particular\\n\\n• Explain what are good governance practices and how accounting contributes to such, for both performance and conformance purposes\\n\\n• Identify good or bad corporate governance and CSR practices of businesses, by making reference to real-life incidents","corporate-bond; accounting; bookkeeping; corporate-governance; corporate-social-responsibility","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.1,9.2]","NA","English","business","business-essentials","eEKjiKmeEei_8Qri34lJ7A"]
["Accounting","General Accounting","Accounting for Decision Making","University of Michigan","Advanced",30.5,4.79,"https://www.coursera.org/learn/accounting","Through this course, you will start by addressing the two “big questions” of accounting: “What do I have?” and “How did I do over time?” You will see how the two key financial statements – the balance sheet and the income statement - are designed to answer these questions and then move on to consider how individual transactions aggregate to make up these financial statements. After developing a broad understanding of accounting and financial statements, you will begin to develop a more nuanced understanding of individual components of doing business, such as making a sale or building inventory.  By considering many of the more common actions of a company, you will build your understanding of accounting, and explore these concepts by applying them across various types of transactions. Once you understand these individual concepts better, you will be ready to return to the overall financial statements and use them as informational tools, including building ratios.\\n\\nYou can do this course standalone or to qualify for the residential component of the Finance for Strategic Decision-Making Executive Education program.  For more information, see the FAQ below.","income; finance; revenue-recognition; accounting; income-statement; cash-flow; flow-network; balance-sheet; accrual; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.2,45.6]","Arabic","English","business","finance","jKPQqR3tEeeiqhJIrotY7g"]
["Accounting","Financial Analysis","Accounting Analysis I: The Role of Accounting as an Information System","University of Illinois at Urbana-Champaign","Intermediate",30.6,4.86,"https://www.coursera.org/learn/accounting-information-system","This course is the first course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors).  To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www.coursera.org/specializations/accounting-fundamentals). This Specialization focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes.  Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users understand the financial reports.  \\n\\nAfter a brief introduction to the course, we will spend time understanding the overall financial accounting structure and standards as well as review the fundamental accounting process used to prepare the financial statements, which will establish a framework for the study of the concepts in the remaining courses in the Financial Reporting Specialization. In this course, we will begin our review of key information included in the Balance Sheet and Income Statement and their related financial disclosures. The Statement of Cash Flows will be introduced briefly with more discussion to follow in later courses of the Specialization.  Also, we will provide a cursory review of key concepts involving time value of money as we will finish this course with focus on revenue recognition, including discussion of the new revenue standard.  We will review the general approach for recognizing revenue, special issues affecting revenue recognition including long-term construction contracts. In addition, we will discuss and review common ratios used in profitability analysis. \\n\\nThe University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa","accounting; analysis; accounting-analysis; revenue; account-analysis; finance; financial-accounting; revenue-recognition; balance-sheet; financial-statement","Financial Reporting",1.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[13.9,31.8]","NA","English","business","business-essentials","2zesAZFiEeaDSw63XnFBtQ"]
["Accounting","Financial Analysis","Accounting Analysis I: Measurement and Disclosure of Assets","University of Illinois at Urbana-Champaign","Advanced",25.4,4.84,"https://www.coursera.org/learn/asset-measurement-disclosure","**NOTE: You should complete the Accounting Analysis I: The Role of Accounting as an Information System course or be familiar with the concepts taught there before beginning this course.**\\n\\nThis course is the second course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors).  To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www.coursera.org/specializations/accounting-fundamentals). This Specialization focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes.  Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users understand the financial reports.  \\n\\nIn this course, we will begin our review of key asset categories underlying the Balance Sheet concepts that were introduced in the previous course.  We will begin our trek down the Balance Sheet by reviewing cash and receivables, which are normally the two assets listed first. We will continue our trek down the Balance Sheet by looking at inventory and long-Lived Assets, which are normally two of the largest asset values. We will review the measurement and reporting issues involving Inventories and the corresponding cost of goods sold expense in the Income Statement. In the latter half of this course we will conclude our review of key asset categories by looking at both tangible and intangible long-lived assets that are so vital to the production of goods and services. This will entail discussion of both acquisition and disposition of property, plant and equipment as well as cost allocation. Next, we will discuss possible impairment of these assets as well as the proper treatment of expenditures made after acquisition. Lastly, we will review how to identify and account for Investments.\\n\\nThe University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa","finance; intangibles; accounting; accounting-analysis; account-analysis; financial-statement; inventory-cost; inventory; analysis; amortization","Financial Reporting",2.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[14.7,30.7]","NA","English","business","business-essentials","nUlyPJI_Eea27BJAJAr7dQ"]
["Accounting","Financial Analysis","Accounting Analysis II: Measurement and Disclosure of Liabilities","University of Illinois at Urbana-Champaign","Advanced",34.8,4.79,"https://www.coursera.org/learn/accounting-analysis-2-liabilities","This course is the third course in the five-course Financial Reporting Specialization. This course begins with a discussion of current liabilities and contingencies and continues with long-term debt and bonds.  The course next explores accounting model for leases, both lessees and lessors, and a discussion on deferred tax assets and liabilities. Participants will learn the latest accounting standards including the new accounting model for leases effective for public companies in 2019 and private companies in 2020.","asset; finance; current-liability; financial-statement; accounting; troubled-debt-restructuring; income-tax; deferred-tax; term-time; debt","Financial Reporting",3.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[16.4,43.1]","NA","English","business","business-essentials","bKp6XUogEee4pw7hxA2o1A"]
["Accounting","Financial Analysis","Accounting Analysis II: Accounting for Liabilities and Equity","University of Illinois at Urbana-Champaign","Advanced",28.8,4.73,"https://www.coursera.org/learn/accounting-analysis-2-equity","This course is the fourth course in a five-course Financial Reporting Specialization. This course focuses on the recognition, measurement and subsequent accounting for equity, pensions, share-based compensation and cash flows utilizing the FASB Accounting Standards Codification and other resources.","flow-network; pensions; common-stock; stock; accounting; earnings-per-share; cash-flow-statement; financial-statement; finance; cash-flow","Financial Reporting",4.0,"https://www.coursera.org/specializations/financial-reporting","The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.","[13.8,47.5]","NA","English","business","business-essentials","tMo47kogEeeMtBKozo_2UA"]
["Accounting","Financial Analysis","Financial Analysis for Startups","Yonsei University","Advanced",13.6,4.44,"https://www.coursera.org/learn/financial-ratios","In the previous two courses, you have learned how to value startups using the discounted cash flow method and multiple methods. However, you have not learned how to estimate cash flows or earnings of startups. In this course, you are going to learn the concepts and usage of financial ratios. Using financial ratios such as profitability, liquidity, leverage, efficiency, and growth, you can tell financial health of a startup. Profitability ratios measure how profitable a firm is by looking at ROS, ROA, and ROE. Liquidity ratios measure how quickly a firm turns assets into cash to pay-off short-term liability and they include Current Ratio, Quick Ratio, and Cash Ratio. Leverage ratios measure how much long-term debt a firm has relative to its assets or equity. Efficiency ratios measure how efficiently a firm utilizes its assets. It is like a physical exam for humans and you can tell the fiscal status of a startup using financial ratios. You can also develop pro forma financial statement using financial ratios. Using pro forma financial statement, you can tell future financial status of a startup as well as cash flows. In addition, using information from pro forma statement and valuation methods, you can do the valuation of a startup.","pro-forma; venture-capital; analysis; financial-ratio; balance-sheet; ratio-analysis; financial-plan; financial-analysis; sales; finance","Valuation and Financial Analysis For Startups",3.0,"https://www.coursera.org/specializations/startup-valuation","The Startup Valuation and Financial Analysis Specialization teaches two of the most often used methods to find the value of a startup. You’ll learn how to find the value of founder’s ownership before and after additional funding, how to read financial statements and make pro-forma statements, and how to determine the financial health and status of a startup and estimate future earnings and value. You’ll then use various investment criteria, such as Net Present Value (NPV) and Individual Rate of Return (IRR), to make a decision about whether and where to invest your money.\\n\\nSpecific topics include: the time value of money, discounted cash flows method, multiple method, financial statements analysis, free cash flows, capital budgeting decision rules and current trends. The Capstone Project will find the value of startups using the methods taught in the course.","[8.1,15.7]","Spanish; Korean","English","business","finance","hUPm20cPEea9IA5mW7znqQ"]
["Accounting","Financial Analysis","The Language and Tools of Financial Analysis","The University of Melbourne","Beginner",13.3,4.61,"https://www.coursera.org/learn/financial-analysis","In this course, participants will learn the foundations of accounting principles and financial analysis, develop an understanding of the links between these, and the measurement of value creation at the firm level. This is the first course in a four-course Specialization on the Essentials of Corporate Financial Analysis and Decision-Making, created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).\\n\\nView the MOOC promotional video here: http://tinyurl.com/jeoa83t","corporate-finance; financial-ratio; accounting; financial-analysis; ratio-analysis; corporate-bond; balance-sheet; finance; financial-statement; analysis","Essentials of Corporate Finance",1.0,"https://www.coursera.org/specializations/learn-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[8.9,15.7]","NA","English","business","finance","VuB23StaEeWccAqzeA4VPw"]
["Accounting","Financial Analysis","Python and Statistics for Financial Analysis","The Hong Kong University of Science and Technology","Beginner",11.2,4.46,"https://www.coursera.org/learn/python-statistics-financial-analysis","Course Overview: https://youtu.be/JgFV5qzAYno\\n\\nPython is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.\\n\\nBy the end of the course, you can achieve the following using python:\\n\\n- Import, pre-process, save and visualize financial data into pandas Dataframe\\n\\n- Manipulate the existing financial data by generating new variables using multiple columns\\n\\n- Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts\\n\\n- Build a trading model using multiple linear regression model \\n\\n- Evaluate the performance of the trading model using different investment indicators\\n\\nJupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.","financial-modeling; pandas; statistical-analysis; financial-analysis; statistics; balance-sheet; finance; python-programming-language; analysis; computer-programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.3]","NA","English","business","finance","ockwjyGkEeiAdw4vw_tgPg"]
["Accounting","Financial Analysis","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["Accounting","Financial Analysis","Understanding Financial Statements: Company Performance","University of Illinois at Urbana-Champaign","Beginner",7.2,4.65,"https://www.coursera.org/learn/income-statement","This course is designed to provide a basic understanding of financial statements with an emphasis on the income statement. Building on the foundation formed in the first course, you will learn about the third of our three measurement questions and how the income statement helps to answer this final measurement question. Returning to the real business people introduced in the first course, this second course describes the basic content of income statement in a simple yet relevant context. The course ends by summarizing many of the lessons learned in both courses to leave you with a lasting impression about what financial statements are and how accounting can work for you. We all know that accounting is “the language of business”; let’s make learning this language engaging, and perhaps even fun!\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tDescribe the purpose of an income statement.\\n•\\tDefine the basic components of an income statement.\\n•\\tRecognize and understand the meaning of several items typically presented on an income statement. \\n•\\tExplain the broader purpose of financial statements and the role of accounting in producing the financial statements.\\n•\\tRead and, to some extent, interpret real-world income statements.\\n\\nIf you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","flow-network; financial-statement; accounting; income-statement; analysis; financial-ratio; performance; finance; income; cash-flow","Fundamentals of Accounting",2.0,"https://www.coursera.org/specializations/accounting-fundamentals","Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.\\n\\nIn this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.","[4.2,8.4]","NA","English","business","business-essentials","Yj9bIu-LEeWJRgpWnDLcCw"]
["Accounting","Financial Analysis","Understanding Financial Statements: Company Position","University of Illinois at Urbana-Champaign","Beginner",8.1,4.72,"https://www.coursera.org/learn/financial-statements","This course is designed to provide a basic understanding of financial statements with an emphasis on the balance sheet. However, to understand accounting driven financial statements, it is important to recognize that accounting is less about counting and more about measuring. “What is it that is being measured?” Well, as the course unfolds, you will learn about the three measurement questions and how the balance sheet helps to answer the first two of these questions. By touring a real company and interviewing real business people, the course describes the basic content of financial statements in a simple yet relevant context. The goal of the course is to leave a lasting impression about what balance sheet consists of and what it reveals. The next course in the Fundamentals of Accounting Specialization completes the conversation by addressing the remaining measurement question.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tDescribe the purpose of a balance sheet.\\n•\\tDefine the three components of a balance sheet.\\n•\\tRecognize and understand the meaning of several items typically presented on a balance sheet. \\n•\\tExplain the broader purpose of financial statements and the role of accounting in producing the financial statements.\\n•\\tRead and, to some extent, interpret real-world balance sheets.\\n\\nIf you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","accounting; balance-sheet; income-statement; finance; financial-statement; accounting-terminology; interpretation; ordered-pair; learning; income","Fundamentals of Accounting",1.0,"https://www.coursera.org/specializations/accounting-fundamentals","Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.\\n\\nIn this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.","[4.8,9.1]","NA","English","business","business-essentials","2g7bdO-KEeWTgg7cwVeSqQ"]
["Accounting","Financial Analysis","Forensic Accounting and Fraud Examination","West Virginia University","Beginner",13.2,4.67,"https://www.coursera.org/learn/forensic-accounting","Everyday across the world, thousands of businesses are victimized by fraud.  Who commits these bad acts?  Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how.  We’ll also help you develop skills for catching them.","detection; internality; forensic-accounting; internal-control; fraud-deterrence; audit; fraud-investigation; forensics; fraud-detection; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.4]","Chinese","English","business","finance","469AxGCiEeWQAgqoue9YNw"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Accounting: Principles of Financial Accounting","IESE Business School","Beginner",17.3,4.84,"https://www.coursera.org/learn/financial-accounting","Financial Accounting is often called the language of business; it is the language that managers use to communicate the firm's financial and economic information to external parties such as shareholders and creditors. Nobody working in business can afford financial illiteracy. Whether you run your own business, work as a manager or are just starting your career, you want to understand financial information and be able to interact with accountants, controllers, and financial managers. You want to talk business! \\n\\nThis course will provide you with the accounting language's essentials. Upon completion, you should be able to read and interpret financial statements for business diagnosis and decision-making. More importantly, you will possess the conceptual base to keep learning more sophisticated accounting and finance on your own. Do not forget that, as with any other language, becoming proficient with accounting requires constant practice.","flow-network; financial-accounting; income-statement; accounting; analysis; balance-sheet; financial-statement; income; finance; cash-flow","Foundations of Management",1.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.3,19.9]","Arabic","English","business","finance","eBEnnYkqEeWGBwqGAoUFww"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Finance for Non-Financial Professionals","University of California, Irvine","Beginner",7.1,4.45,"https://www.coursera.org/learn/finance-for-non-finance-managers","Impact your financial decisions and learn how to affect the performance of your unit's profitability and of your organization. In this course gain a basic understanding of finance and accounting concepts to drive your organization's growth. Upon completion of this course, you will have gained general financial knowledge and an in-depth understanding of the impact of your decisions outside your functional area. Content of the course includes selected aspects of finance from a non-financial specialist perspective. Specific topics include: financial analysis; planning, forecasting, and budgeting; cash flow, and strategic financing. This class will be interactive and will require the active involvement of the participants in finance related activities.\\n\\nUpon completing this course, you will be able to:\\n1.       Explain the importance of finance and interpretation of financial information\\n2.       Apply the concepts of accounting and finance to analyze financials\\n3.       Learn about key accounting and finance terms\\n4.       Examine financial statements by using key ratios\\n5.       Explain the importance of budgeting process\\n6.       Learn about key components needed to improve profitability","finance; accounting; corporate-finance; valuation-finance; financial-statement; financial-ratio; market-economics; financial-literacy; principle; cost","Career Success",3.0,"https://www.coursera.org/specializations/career-success","This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. The Specialization concludes with a Capstone project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses to your individual and organizational needs.","[3.9,9.2]","Ukrainian; Chinese; Spanish; Vietnamese; Korean","English","business","finance","0aY3BdGZEeSX5iIAC4tS5g"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Keeping up with Change: Issues for the Finance Professional","University of London","Beginner",42.0,4.66,"https://www.coursera.org/learn/change-for-the-finance-professional","This MOOC identifies and explores a number of challenges to the finance professional arising from the ever changing business environment. Increasingly, financial decisions must take account of strategic consequences. \\n\\nThe first module, Exploring Strategic Position, Choice and Action helps in doing that – setting a strategic context for planning for, monitoring and controlling projects and activities. An on-going set of challenges is found in the evolution of International Reporting Standards. \\n\\nThe second module focuses on some recent changes in Standards, identifying the drivers for changes, and examining evolution in controversial areas such as leasing and goodwill. \\n\\nThe third and final module, Corporate Governance, examines issues which are causing people to re-assess the nature, purpose and scope of corporate governance, and challenges to making governance function effectively. Key issues here are the move to include a broader range of stakeholders, the perennial challenge of agency theory issues, shareholder activism, changing Board structures, and challenges to internal control to better manage risk. \\n\\nThis MOOC will be right for you if you are interested in engaging with some of the challenges facing finance professionals, even if you are not one yourself. If you are thinking about returning to study this will provide a taster of academic endeavours through reading articles, critiquing ideas, and blending theory with reality.","accounting; finance; analysis; corporate-governance; strategic-analysis; international-financial-reporting-standards; strategic-management; management; corporate-bond; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.6,65.3]","NA","English","business","finance","asSgiHyvEeWpcQ7HugVD8Q"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Accounting: Principles of Financial Accounting","IESE Business School","Beginner",17.3,4.84,"https://www.coursera.org/learn/financial-accounting","Financial Accounting is often called the language of business; it is the language that managers use to communicate the firm's financial and economic information to external parties such as shareholders and creditors. Nobody working in business can afford financial illiteracy. Whether you run your own business, work as a manager or are just starting your career, you want to understand financial information and be able to interact with accountants, controllers, and financial managers. You want to talk business! \\n\\nThis course will provide you with the accounting language's essentials. Upon completion, you should be able to read and interpret financial statements for business diagnosis and decision-making. More importantly, you will possess the conceptual base to keep learning more sophisticated accounting and finance on your own. Do not forget that, as with any other language, becoming proficient with accounting requires constant practice.","flow-network; financial-accounting; income-statement; accounting; analysis; balance-sheet; financial-statement; income; finance; cash-flow","Foundations of Management",1.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.3,19.9]","Arabic","English","business","finance","eBEnnYkqEeWGBwqGAoUFww"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Financial Accounting Fundamentals","University of Virginia","Beginner",19.6,4.82,"https://www.coursera.org/learn/uva-darden-financial-accounting","This course will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and \"your turn\" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health.\\n\\nBy the end of this course, you will be able to:\\n- Use journal entries to record transactions\\n- Prepare and use t-accounts to summarize transactions recorded during an accounting period\\n- Describe the three most commonly used financial statements and how they fit together\\n- Prepare these financial statements based on transactions recorded during an accounting period\\n- Draw basic conclusions about a company's financial health","financial-accounting; flow-network; finance; income-statement; cash-flow-statement; accounting; income; balance-sheet; financial-statement; cash-flow","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,24.3]","NA","English","business","business-essentials","XvJBLJVHEea0-w59UvC4Ag"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Finance for Managers","IESE Business School","Intermediate",17.4,4.79,"https://www.coursera.org/learn/operational-finance","When it comes to numbers, there is always more than meets the eye.  In operational finance, you will learn how to read the “story” that the balance sheet and income statement tells about the company’s operations. The insights you gain from this “financial story” will then become a tool for short-term decision-making at the top management level relating to current assets, current liabilities and the management of working capital. Finally, by the end of the course you will understand the financial consequences of managerial decisions on operations, marketing, etc.","management-accounting; methodology; managerial-finance; analysis; management; dupont-analysis; financial-analysis; business-analysis; finance; balance-sheet","Foundations of Management",2.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.6,20.5]","Arabic","English","business","finance","6AL8FY7BEeW5gxKDBxYMJw"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Auditing II: The Practice of Auditing","University of Illinois at Urbana-Champaign","Advanced",25.4,4.71,"https://www.coursera.org/learn/auditing-part2-the-practice","This course provides a continuation of the intensive conceptual and applied introduction to auditing in society begun in Auditing I: Conceptual Foundations of Auditing. It focuses on a conceptual framework that is applied by audit professionals to assess, evaluate, and manage audit risks and evidence.","audit-risk; audit; maxdiff; financial-auditing; internal-audit","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.5,39.1]","NA","English","business","business-essentials","VVX5tvcOEee3uhJW7jRYrg"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Auditing I: Conceptual Foundations of Auditing","University of Illinois at Urbana-Champaign","Advanced",33.5,4.49,"https://www.coursera.org/learn/auditing-part1-conceptual-foundations","This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors’ professional responsibilities as well as major facets of the audit process including risk assessment and audit reporting. In the U.S. financial-statement audits and related services generally are provided by Certified Public Accountants (CPAs). To succeed in this course, you should anticipate engaging in critical thinking and thoughtful communication about audit professionals' decision environments, decision processes, and deliverables. Additionally, you should understand the macro-level learning objectives in each of the course's weekly modules.","finance; financial-auditing; audit-risk; internal-control; risk; audit; internal-audit; financial-audit; financial-statement; internality","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.3,38.1]","NA","English","business","business-essentials","RqpO5PZcEeeLtRL2HSwRMA"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Formal Financial Accounting","University of Illinois at Urbana-Champaign","Intermediate",7.8,4.66,"https://www.coursera.org/learn/formal-financial-accounting","This course builds upon what you learned in Financial Accounting: Foundations and Financial Accounting: Advanced Topics and introduces you to formal foundations of financial accounting. The main purpose of the course is to familiarize you with technical terms in financial accounting, such as debit, credit and T-account. While knowledge on technical aspects of financial accounting is not necessary to understand and interpret financial statements, this knowledge is critical to be able to understand advanced topics in accounting. Formal Financial Accounting is a prerequisite course for the University of Illinois' iMSA program and the terminology we will cover will be used throughout the courses in iMSA program.\\n\\nThe University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with a highly recognized master degree. Try an open course or two, then apply for admission into the credit-bearing version, as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting online master's in accounting program, refer to this link: https://www.coursera.org/university-programs/imsa ","recording; stock; financial-accounting; accounting-terminology; finance; journaling-file-system; accounting; financial-transactions; trial-balance; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,11.4]","Arabic","English","business","business-essentials","RTYEnkomEee4pw7hxA2o1A"]
["Accounting","Generally Accepted Accounting Principles (GAAP)","Advanced Financial Reporting: Accounting for Business Combinations and Preparation of Consolidated Financial Statements","University of Illinois at Urbana-Champaign","Advanced",30.5,4.62,"https://www.coursera.org/learn/advanced-financial-reporting","This course covers the accounting for business combinations (ASC 805), the preparation of consolidated financial statements (ASC 810), and other related topics including, but not limited to: step-by-step acquisition, deconsolidation, segments reporting, and the goodwill impairment test. This course begins with a discussion of the scope of ASC 805 and the differences between business combinations and asset acquisitions. Next, the course explores the measurement and recognition principles of the acquisition method to account for business combinations. Then, the course covers the consolidation process. You will learn how to prepare the consolidated financial statements and make all of the necessary consolidation adjustments.","financial-statement; management-accounting; finance; consolidated-financial-statement; bookkeeping; financial-management; financial-analysis; business; accounting; financial-accounting","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.7,37.1]","NA","English","business","business-essentials","kKSsgGE2EemA9Q773UQsKg"]
["Accounting","Management Accounting","Managerial Accounting: Cost Behaviors, Systems, and Analysis","University of Illinois at Urbana-Champaign","Intermediate",14.4,4.72,"https://www.coursera.org/learn/accounting-for-managers","In this course, you will learn how to use accounting to facilitate and align decisions made by owners, managers, and employees. You will learn how accountants create, organize, interpret, and communicate information that improves internal processes, and allows organizations to identify and leverage opportunities to create value within the supply chain and with customers. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand what managerial accounting is and why it is important. \\n•\\tDescribe fundamental concepts of managerial accounting. \\n•\\tApply the financial perspective of accounting for costs.\\n•\\tIdentify problems associated with relying on financial accounting information for internal decision making. \\n•\\tOrganize cost information according to the decision-making needs of the organization.\\n•\\tApply activity-based costing (ABC) and recognize the influence of setting and decision characteristics on the relevance of ABC systems.\\n•\\tAddress common \"what-if\" questions using cost-volume-profit (CVP) analysis. \\n•\\tApply CVP analysis in a variety of scenarios.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","accounting; cost-accounting; management-accounting; cost; break-even; job-costing; activity-based-costing; analysis; decision-making; management","Value Chain Management",1.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.7,16.2]","Vietnamese","English","business","finance","lU9jvUkuEeaLEAqUHs9hMw"]
["Accounting","Management Accounting","Managerial Accounting: Tools for Facilitating and Guiding Business Decisions","University of Illinois at Urbana-Champaign","Advanced",18.4,4.73,"https://www.coursera.org/learn/managerial-accounting-business-decisions","In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve strategy.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of managerial accounting information in common business decisions\\n•\\tDifferentiate relevant and irrelevant information\\n•\\tAvoid common pitfalls in business decisions\\n•\\tPrepare a master budget and its key components\\n•\\tDescribe the iterative and interrelated nature of budgeting\\n•\\tEvaluate capital investments via a variety of measures\\n•\\tUnderstand how upper management uses variance analysis\\n•\\tCalculate, interpret, and investigate variances\\n•\\tUnderstand decentralization and its advantages and disadvantages\\n•\\tCompute and interpret financial performance measures\\n•\\tCommunicate the role of non-financial measures and strategic performance measurement systems\\n•\\tIdentify issues associated with performance measurement and incentives\\n•\\tUnderstand the nature and role of subjective performance evaluation\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management-accounting; performance; variance; accounting; analysis-of-variance; measurement; budget; performance-measurement; analysis; management","Value Chain Management",2.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.3,21.9]","NA","English","business","finance","viDCUUkuEeagxwr1Kg22cw"]
["Accounting","Management Accounting","Managerial Accounting Fundamentals","University of Virginia","Intermediate",14.6,4.83,"https://www.coursera.org/learn/uva-darden-managerial-accounting","This course will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. \\n\\nBy the end of this course, you will be able to:\\n- Describe different types of costs and how they are represented graphically\\n- Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit\\n- Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems\\n- Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision\\n- Determine a reasonable course of action, given the financial impact, for a given management decision","analysis; cost; job-costing; accounting; break-even; cost-benefit-analysis; management-accounting; finance; cost-allocation; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,18.9]","NA","English","business","finance","IMUdhjZyEeei6hJT8psMrA"]
["Accounting","Management Accounting","Finance for Managers","IESE Business School","Intermediate",17.4,4.79,"https://www.coursera.org/learn/operational-finance","When it comes to numbers, there is always more than meets the eye.  In operational finance, you will learn how to read the “story” that the balance sheet and income statement tells about the company’s operations. The insights you gain from this “financial story” will then become a tool for short-term decision-making at the top management level relating to current assets, current liabilities and the management of working capital. Finally, by the end of the course you will understand the financial consequences of managerial decisions on operations, marketing, etc.","management-accounting; methodology; managerial-finance; analysis; management; dupont-analysis; financial-analysis; business-analysis; finance; balance-sheet","Foundations of Management",2.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[11.6,20.5]","Arabic","English","business","finance","6AL8FY7BEeW5gxKDBxYMJw"]
["Accounting","Management Accounting","Keeping up with Change: Issues for the Finance Professional","University of London","Beginner",42.0,4.66,"https://www.coursera.org/learn/change-for-the-finance-professional","This MOOC identifies and explores a number of challenges to the finance professional arising from the ever changing business environment. Increasingly, financial decisions must take account of strategic consequences. \\n\\nThe first module, Exploring Strategic Position, Choice and Action helps in doing that – setting a strategic context for planning for, monitoring and controlling projects and activities. An on-going set of challenges is found in the evolution of International Reporting Standards. \\n\\nThe second module focuses on some recent changes in Standards, identifying the drivers for changes, and examining evolution in controversial areas such as leasing and goodwill. \\n\\nThe third and final module, Corporate Governance, examines issues which are causing people to re-assess the nature, purpose and scope of corporate governance, and challenges to making governance function effectively. Key issues here are the move to include a broader range of stakeholders, the perennial challenge of agency theory issues, shareholder activism, changing Board structures, and challenges to internal control to better manage risk. \\n\\nThis MOOC will be right for you if you are interested in engaging with some of the challenges facing finance professionals, even if you are not one yourself. If you are thinking about returning to study this will provide a taster of academic endeavours through reading articles, critiquing ideas, and blending theory with reality.","accounting; finance; analysis; corporate-governance; strategic-analysis; international-financial-reporting-standards; strategic-management; management; corporate-bond; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.6,65.3]","NA","English","business","finance","asSgiHyvEeWpcQ7HugVD8Q"]
["Accounting","Management Accounting","Core Concepts of Accounting – Numbers and People","Moscow Institute of Physics and Technology","Advanced",27.7,4.88,"https://www.coursera.org/learn/core-concepts-of-accounting","Whenever the word “accounting” is pronounced, it is immediately associated with the need to memorize endless boring numbers. However, it is the common financial statements that contain important information that provides inputs for valuation of investment projects. The only challenge is how to properly extract them.\\n\\nAccounting and finance are indeed intertwined. Sometimes people that are not experienced in the area even mix them up. But most often emphasis in accounting is on numbers. Still, the deep understanding of key accounting concepts helps reveal the interests and actions of people behind these numbers. And the human dimension of accounting adds invaluable insight in the potential of successful project implementation.\\n\\nThis Course discusses core ideas and concepts of both financial and managerial accounting. It by no means pretends to be comprehensive to any extent. But, being rather an accounting overview, it focuses on the issues that are most relevant and important for effective valuation of investment projects.\\n\\nThe learners will gain insight into the essence of accounting. They will be able to use the obtained knowledge and skills to successfully advance in their career at a financial institution, as well as in the area of financial management at non-financial businesses. To pursue a career in accounting, a more detailed study is strongly recommended.","financial-analysis; investment-management; investment-banking; financial-management; accounting; banking; management-accounting","Understanding Modern Finance",3.0,"https://www.coursera.org/specializations/understanding-modern-finance","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[19,35.9]","NA","English","business","finance","8TCvZb_yEee38Ap8P6cP0A"]
["Accounting","Management Accounting","Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital","Erasmus University Rotterdam","Advanced",26.0,4.75,"https://www.coursera.org/learn/advanced-valuation-and-strategy","Hi and welcome to this course! \\n\\nWould you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!\\n\\nWe will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.\\n\\nOur treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis?\\n\\nThe tools we provide can improve your decisions in business and in daily life.\\n\\n* Who is this class for?\\nWe hope that our course appeals to (graduate) students in finance, economics, and business, as well as to high-ranking professionals and a general audience. This course is particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, CFOs, and those who aspire these affiliations. We offer this MOOC at 3 levels:\\n\\n1.Executive Summary: \\nThis 1-week module provides critical insights into the principles of corporate valuation and strategy. This is accessible for time-constrained executives and the general audience without any prior knowledge.\\n\\n2. Student Level:\\nThis level involves an understanding of the technical details.  This level requires basic knowledge of concepts in corporate finance, e.g., the time value of money, financial statement analysis, capital structure, and the relation between risk and returns. Learners of this level can skip week 1.\\n\\n3. Honors Level (honors certificate): \\nThis level is challenging, engaging, and compelling to an intellectually rigorous student.","decision-making; valuation-finance; finance; business-valuation; options-strategies; valuation-of-options; real-options-valuation; game-theory; mergers-and-acquisitions; real-options","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.5,37.7]","Spanish","English","business","finance","qTCeNxYVEeiu5xKRVYA-JA"]
["Accounting","Management Accounting","Investments II: Lessons and Applications for Investors","University of Illinois at Urbana-Champaign","Advanced",20.6,4.76,"https://www.coursera.org/learn/investments-applications","In this course, you will start by reviewing the fundamentals of investments, including the trading off of return and risk when forming a portfolio, asset pricing models such as the Capital Asset Pricing Model (CAPM) and the 3-Factor Model, and the efficient market hypothesis.  You will be introduced to the two components of stock returns – dividends and capital gains – and will learn how each are taxed and the incentives provided to investors from a realization-based capital gains tax.  You will examine the investment decisions (and behavioral biases) of participants in defined-contribution (DC) pension plans like 401(k) plans in the U.S. and will learn about the evidence regarding the performance of individual investors in their stock portfolios.  The course concludes by discussing the evidence regarding the performance of actively-managed mutual funds. You will learn about the fees charged to investors by mutual funds and the evidence regarding the relation between fees charged and fund performance.  Segments of the portfolios of mutual funds that may be more likely to outperform and examples of strategies designed to “earn alpha” will also be introduced.\\n\\nLearners are welcome to take this course even if they have not completed \"Investments I: Fundamentals of Performance Evaluation,\" as the first module contain a review of investment fundamentals and regression analysis to get everyone up to speed.  Also, the course contains several innovative features, including creative out-of-the-studio introductions followed by quick-hitting \"Module in 60\" countdowns that highlight what will be covered in each module, four \"Faculty Focus\" interview episodes with leading professors in finance, and a summary of each module done with the help of animations!\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","finance; stock; financial-risk; market-economics; funds; investment-strategy; risk; investment; investment-decisions; financial-markets","Financial Management",4.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[14.1,28.7]","NA","English","business","finance","gni-lkeREeaNmhKFnqHOVQ"]
["Accounting","Taxes","Rethinking International Tax Law","Universiteit Leiden","Beginner",29.2,4.84,"https://www.coursera.org/learn/international-taxation","In recent years, the international tax planning strategies of multinationals have become a source of – often heated – debate. This course provides learners with the tools to become fully informed participants in the debate by explaining the foundations and practice of international tax law as well as addressing current developments and the ethical aspects of tax planning.","pricing; tax-planning; transfer-pricing; international-taxation; base-erosion-and-profit-shifting; law; planning; international-law; taxation; tax-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[19.1,35.6]","NA","English","social-sciences","law","VxTqEC8iEeWUWxIOAnoaFQ"]
["Accounting","Taxes","Federal Taxation I: Individuals, Employees, and Sole Proprietors","University of Illinois at Urbana-Champaign","Intermediate",37.3,4.88,"https://www.coursera.org/learn/federal-taxation-individuals","This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040.\\n\\nIf you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa ","individual-tax-returns; taxation; federal-tax-returns; credit; tax-preparation; income-tax; law; income; tax-returns; tax-law","U.S. Federal Taxation",1.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[20.7,43.2]","NA","English","business","business-essentials","uCrSqjAVEeeZnwpGNf0eQA"]
["Accounting","Taxes","Federal Taxation II: Property Transactions of Business Owners and Shareholders","University of Illinois at Urbana-Champaign","Advanced",34.2,4.79,"https://www.coursera.org/learn/federal-taxation-business","This course examines the U.S. federal tax system as it relates to property transactions of business owners and shareholders. Topics include cost recovery, such as depreciation, amortization, and depletion; calculation of realized versus recognized gains and losses; evaluation of the potential tax effects of nontaxable exchanges; and the combining, or netting, gains and losses that are different in nature. Assignments facilitate self-discovery of knowledge and development of a variety of professional skills.","asset; accounting; depreciation; netting; amortization; shareholders; cost; taxation; dotproperties; integration-testing","U.S. Federal Taxation",2.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[20.3,39.1]","NA","English","business","business-essentials","hkzBbkoiEee4pw7hxA2o1A"]
["Accounting","Taxes","Taxation of Business Entities I: Corporations","University of Illinois at Urbana-Champaign","Advanced",33.6,4.66,"https://www.coursera.org/learn/taxation-business-entities-part-1","This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","tax-law; income; studentized-residual; liquidation; income-tax; restructuring; accounting; corporate-taxation; taxation; corporate-bond","U.S. Federal Taxation",3.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[16.2,43]","NA","English","business","business-essentials","wvZRZ0okEeeOdhJtXwU6ZA"]
["Accounting","Taxes","Taxation of Business Entities II: Pass-Through Entities","University of Illinois at Urbana-Champaign","Advanced",29.6,4.7,"https://www.coursera.org/learn/taxation-business-entities-part-2","This course provides an introduction to the U.S. federal income taxation of pass-through business entities, including Subchapter S corporations, partnerships, and limited liability companies. The course focuses on the relevant provisions of Subchapters S and K of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing the formation, operation, and termination of pass-through entities. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","taxation; sales; operations-management; limited-liability; entity; accounting; professional; income; flow-through-entity; partnership","U.S. Federal Taxation",4.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[15.1,38.9]","NA","English","business","business-essentials","8BiT4EokEeeJdBL3H0RODg"]
["Business Analysis","Best Courses","Excel Skills for Business: Intermediate I","Macquarie University","Beginner",21.9,4.89,"https://www.coursera.org/learn/excel-intermediate-1","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digitals skills lead to higher income and better employment opportunities at a time when digital skills job are growing much faster than non-digital jobs.\\n\\nIn this second course of our Excel specialization Excel Skills for Business you will build on the strong foundations of the Essentials course. Intermediate Skills I will expand your Excel knowledge to new horizons. You are going to discover a whole range of skills and techniques that will become a standard component of your everyday use of Excel. In this course, you will build a solid layer of more advanced skills so you can manage large datasets and create meaningful reports. These key techniques and tools will allow you to add a sophisticated layer of automation and efficiency to your everyday tasks in Excel.\\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Prashan and Nicky will guide you through each week (and I am even going to make a guest appearance in Week 5 to help you learn about my favourite tool in Excel - shh, no spoilers!). Work through each new challenge step-by-step and in no time you will surprise yourself by how far you have come. This time around, we are going to follow Uma's trials and tribulations as she is trying to find her feet in a new position in the fictitious company PushPin. For those of you who have done the Essentials course, you will already be familiar with the company. Working through her challenges which are all too common ones that we encounter everyday, will help you to more easily relate to the skills and techniques learned in each week and apply them to familiar and new contexts.","eulers-totient-function; analysis; concatenation; memoization; consolization; pivot-table; chart; microsoft-excel; data-segment; pivot-chart","Excel Skills for Business",2.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[13.7,28.3]","Vietnamese; Arabic","English","business","business-essentials","ZS2v-E_kEeeqIxKkUVGiXg"]
["Business Analysis","Best Courses","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.5,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","macro-computer-science; microsoft-excel-macro; lookup-table; microsoft-excel; data-validation; data-model; solver; data-segment; memoization; data-uri-scheme","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[15.7,30.5]","Vietnamese; Arabic","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["Business Analysis","Best Courses","Excel/VBA for Creative Problem Solving, Part 1","University of Colorado Boulder","Beginner",27.7,4.84,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-1","Excel/VBA for Creative Problem Solving, Part 1 is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).  \\n\\nThis course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems.  In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.\\n\\nNew to computer programming?  The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code!  No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.\\n\\nAfter you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","computer-programming; microsoft-excel; microsoft-excel-macro; user-defined-function; problem-solving; debugging; computer-program; microsoft-excel-vba; macro-computer-science; eulers-totient-function","Excel/VBA for Creative Problem Solving",1.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[12.8,46.9]","NA","English","computer-science","algorithms","MFaw7sV2Eee5rApLdx8b-g"]
["Business Analysis","Best Courses","Excel/VBA for Creative Problem Solving, Part 2","University of Colorado Boulder","Beginner",24.9,4.87,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-2","Excel/VBA for Creative Problem Solving, Part 2 builds off of knowledge and skills obtained in \"Excel/VBA for Creative Problem Solving, Part 1\" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).\\n\\nIn Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to .txt files and import information from .txt files; 3) automate the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook; and 4) gain experience with creating professional user forms to interface with the user, perform advanced calculations, and manipulate data on the spreadsheet.\\n\\nLearners who have a foundational understanding of VBA code and programming structures can jump right into Part 2 of the course without taking Part 1 and use the screencasts in Part 1 as reference.\\n\\nEach module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","microsoft-excel-macro; visual-basic; microsoft-excel; microsoft-excel-vba; combo-box; arrays; problem-solving; computer-program; macro-computer-science; computer-programming","Excel/VBA for Creative Problem Solving",2.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[17.1,40.6]","NA","English","computer-science","algorithms","wfmMJNMKEeeatxK9DfVCWA"]
["Business Analysis","Best Courses","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","analysis; studentized-residual; microsoft-excel; statistical-analysis; statistics; poisson-distribution; binomial-distribution; chi-squared-distribution; probability; normal-distribution","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.4,13.8]","NA","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Business Analysis","Best Courses","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; statistical-hypothesis-testing; software-testing; microsoft-excel; data-analysis; confidence-interval; hypothesis-testing; hypothesis; statistics","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.8,16.9]","NA","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Business Analysis","Best Courses","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","linear-regression; dummy-variable-statistics; interaction; microsoft-excel; regression-analysis; interaction-statistics; statistics; linearity; analysis; multicollinearity","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.2]","NA","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Business Analysis","Best Courses","Information Visualization: Applied Perception","New York University Tandon School of Engineering","Intermediate",15.0,4.71,"https://www.coursera.org/learn/information-visualization-applied-perception","This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.","choropleth-map; data-segment; heat-map; information-visualization; perception; visualization-graphic; color-theory; color-vision; pixel; color-space","Information Visualization",2.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[9.7,19.6]","NA","English","data-science","data-analysis","6LurYiiDEeiFdRJFkT2pzg"]
["Business Analysis","Best Courses","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.8,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","tableau-software; data-analysis; data-segment; presentation; analysis; software; visualization-graphic; data-virtualization; analytics; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.6]","NA","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Business Analysis","Best Courses","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.2,4.78,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","microsoft-excel; statistical-analysis; studentized-residual; confidence; data-analysis; normal-distribution; confidence-interval; analysis; data-segment; statistics","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.4]","Korean; Arabic","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Business Analysis","Business Intelligence","Business Intelligence Concepts, Tools, and Applications","University of Colorado System","Advanced",16.0,4.32,"https://www.coursera.org/learn/business-intelligence-tools","This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence.  In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards. \\n\\nThe course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass  decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.","data-analysis; business-intelligence; analysis; microstrategy; data-virtualization; visualization-graphic; sql; data-warehousing; online-analytical-processing; data-uri-scheme","Data Warehousing for Business Intelligence",4.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[6.9,22.7]","Chinese; Korean; Vietnamese","English","data-science","data-analysis","7gLccRnoEeWjrA6seF25aw"]
["Business Analysis","Business Intelligence","Intelligence Tools for the Digital Age","IE Business School","Beginner",8.6,4.68,"https://www.coursera.org/learn/intelligence-tools-digital-age","Digital technologies are changing business, government and society worldwide.  Clearly, they’re opening up new risks and opportunities for every sector of the world economy. Such “futurology” may offer you the big picture, but what does a digital world mean for you, personally?  Will you be ready for an automated, AI-assisted, big-data-driven employment future?  \\n\\nThis course provides you an answer to these questions, and it does so from a unique perspective:  by introducing you to the world of intelligence analysis.  First, this course explains some of the skills that will command a premium in the digital age, and why.  Then, it offers you mental models and practical frameworks developed by the US intelligence community to give you a cognitive edge understanding the digital world.  This edge is not about spying or secrets. It’s about better thinking.  This analytic toolkit has nothing to do with tired, static MBA-style strategy frameworks.  Instead, these tools to help you come to grips with the volatility, uncertainty, ambiguity and deception of the digital age. Ultimately, this course makes the case that as the world becomes more digital, your future success depends most of all on asking better questions of both yourself and others.  Therefore, it teaches you how to adopt an intelligence analyst’s question-asking mindset.  In short, take this course to acquire a sustainable business advantage through clearer, more structured thinking.","business-intelligence; strategic-thinking; analysis; data-analysis; systems-thinking; intelligence-analysis; business-analysis; analytics; critical-thinking; decision-making","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,11.1]","NA","English","business","leadership-and-management","pls4yytZEeigsxKfhos0rA"]
["Business Analysis","Business Intelligence","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","analytics; process; business-analytics; data-uri-scheme; business-process; business-analysis; data-analysis; analysis; risk; management","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[9.1,15.6]","Chinese; Korean; Arabic","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["Business Analysis","Business Intelligence","Managing Big Data with MySQL","Duke University","Beginner",24.7,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","teradata; language; data-analysis; mysql; analysis; query-language; database; omega-language; sql; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,29.9]","Chinese; Vietnamese; Russian; Spanish; Korean","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Business Analysis","Business Intelligence","Relational Database Support for Data Warehouses","University of Colorado System","Advanced",23.7,4.6,"https://www.coursera.org/learn/dwrelational","Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.","eulers-totient-function; apache-hadoop; data-model; data-uri-scheme; materialized-view; analytics; database; big-data; sql; data-warehousing","Data Warehousing for Business Intelligence",3.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[8.6,34.9]","NA","English","data-science","data-analysis","xRA5cxnoEeWg_RJGAuFGjw"]
["Business Analysis","Business Intelligence","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.8,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","tableau-software; data-analysis; data-segment; presentation; analysis; software; visualization-graphic; data-virtualization; analytics; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.6]","NA","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Business Analysis","Business Intelligence","Visual Analytics with Tableau","University of California, Davis","Beginner",14.2,4.46,"https://www.coursera.org/learn/dataviz-visual-analytics","In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data.  You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.","data-virtualization; map; chart; mapping; software; data-segment; analytics; visualization-graphic; tableau-software; visual-analytics","Data Visualization with Tableau",3.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[7.1,22.1]","NA","English","data-science","data-analysis","xJrJ5XQ3EeWLqw7zlLhRzQ"]
["Business Analysis","Business Intelligence","Communicating Business Analytics Results","University of Colorado Boulder","Advanced",11.0,4.3,"https://www.coursera.org/learn/communicating-business-analytics-results","The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to  stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.","visualization-graphic; presentation; data-segment; data-analysis; chart; data-virtualization; analysis; communication; analytics; data-uri-scheme","Advanced Business Analytics",4.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[5.2,15.1]","Korean","English","data-science","data-analysis","eUWBVhk4Eeag3wpmDUdcTQ"]
["Business Analysis","Business Intelligence","Business intelligence and data analytics: Generate insights","Macquarie University","Advanced",13.4,4.53,"https://www.coursera.org/learn/business-intelligence-data-analytics","‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.","yottabyte; analysis; software; data-analysis; business-analytics; software-bus; visualization-graphic; analytics; business-intelligence; tableau-software","Analysing: Numeric and digital literacies",3.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[6.4,19.3]","NA","English","business","business-essentials","koCVNqWkEeiLXw4QLApQMg"]
["Business Analysis","Business Intelligence","Design and Build a Data Warehouse for Business Intelligence Implementation","University of Colorado System","Advanced",7.7,4.55,"https://www.coursera.org/learn/data-warehouse-bi-building","The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations.\\n\\nIn the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.","database; analytics; data-uri-scheme; pentaho; microstrategy; sql; data-warehousing; extract--transform--load; business-intelligence; data-modeling","Data Warehousing for Business Intelligence",5.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[3,11.4]","NA","English","data-science","data-analysis","DzeIAhnpEeWDtQoum3sFeQ"]
["Business Analysis","Business Transformation","Business Transformation with Google Cloud","Google Cloud","Beginner",8.6,4.7,"https://www.coursera.org/learn/business-transformation-google-cloud","What is cloud technology or data science and what’s all the hype about? More importantly, what can it do for you, your team, and your business? \\n\\nIf you want to learn about cloud technology so you can excel in your role, help build the future of your business and thrive in the cloud era, then the Business Transformation with Google Cloud course is for you. Through this interactive training, you’ll learn about core cloud business drivers—specifically Google’s cloud—and gain the knowledge/skills to determine if business transformation is right for you and your team, and build short and long-term projects using the “superpowers” of cloud accordingly. You’ll also find several templates, guides, and resource links through the supplementary student workbook to help you build a custom briefing document to share with your leadership, technical teams or partners.\\n\\nPrimary Audience:\\nBusiness decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of Google’s cloud technology for business improvement opportunities and transformational project(s).","google; cloud-computing; thought; computer-security; business-case; security; finger-protocol; business-transformation; cloud-computing-security; data-segment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.7,10.6]","NA","English","business","business-strategy","1PkWzR59EemY4g4sf5CaYA"]
["Business Analysis","Business Transformation","Digital Transformation","University of Virginia","Intermediate",19.4,4.75,"https://www.coursera.org/learn/bcg-uva-darden-digital-transformation","Digital transformation is a hot topic--but what exactly is it and what does it mean for companies? In this course, we talk about digital transformation in two ways. First we discuss the pace of change and the imperative it creates for businesses. Next we provide the context for this transformation and what it takes to win in the digital age. Then we walk through BCG's proprietary framework, which helps you identify key areas to digitize, including strategy, core processes, and technology.\\n\\nBy the end of this course, you'll be able to:\\n--describe the underlying economics of innovation, technology, and market disruptions\\n--weigh the pros and cons of current digital technologies driving advancement\\n--utilize BCG's digital transformation framework as a \"\"how-to\"\" for digitizing your organization","business-ecosystem; business-strategy; strategic-thinking; innovation; business-transformation; technology-strategy; digital-strategy; management; disruptive-innovation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,26.4]","Vietnamese; Korean; Spanish; Arabic","English","business","leadership-and-management","rHl0JnJFEeenOwpmZ1LH1g"]
["Business Analysis","Business Transformation","AI For Everyone","deeplearning.ai","Beginner",8.4,4.84,"https://www.coursera.org/learn/ai-for-everyone","AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. \\n\\nIn this course, you will learn:\\n\\n- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science\\n- What AI realistically can--and cannot--do\\n- How to spot opportunities to apply AI to problems in your own organization\\n- What it feels like to build machine learning and data science projects\\n- How to work with an AI team and build an AI strategy in your company\\n- How to navigate ethical and societal discussions surrounding AI\\n\\nThough this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.","planning; artificial-intelligence; machine-learning; learning; ethics; deep-learning; artificial-neural-network; project; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.2,9.8]","Spanish; Chinese; Thai; Arabic; Japanese","English","business","business-strategy","daG-a-O1EeijKBISCWxf6g"]
["Business Analysis","Data Visualization Software","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","visualization-graphic; graphics; data-virtualization; graph-drawing; data-segment; software; tableau-software; graphs; data-uri-scheme; visualization-software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Chinese; Korean","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Business Analysis","Data Visualization Software","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.8,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","tableau-software; data-analysis; data-segment; presentation; analysis; software; visualization-graphic; data-virtualization; analytics; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.6]","NA","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Business Analysis","Data Visualization Software","3D Data Visualization for Science Communication","University of Illinois at Urbana-Champaign","Beginner",42.4,5.0,"https://www.coursera.org/learn/data-visualization-science-communication","This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.\\n\\nBy the end of this course, you will:\\n-Develop visualization literacy.\\n-Learn the practicality of working with spatial data.\\n-Understand what makes a scientific visualization meaningful.\\n-Learn how to create educational visualizations that maintain scientific accuracy.\\n-Understand what makes a scientific visualization cinematic.\\n-Learn how to create visualizations that appeal to broad audiences.\\n-Learn how to work with image-making software. (for those completing the Honors track)","3d-computer-graphics; science-communication; cinema-4d","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.9,64.8]","NA","English","data-science","data-analysis","TE5yWMG5EeikXg7aK_-m0g"]
["Business Analysis","Data Visualization Software","Python Data Visualization","Rice University","Advanced",7.7,4.74,"https://www.coursera.org/learn/python-visualization","This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis.  We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.\\n\\nBy the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data.  This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.","matplotlib; programming-language; visualization-graphic; jpeg; python-package-index; web; data-segment; python-programming-language; computer-programming; data-uri-scheme","Introduction to Scripting in Python",4.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[5,9.6]","NA","English","computer-science","software-development","WM6vmONeEea9axKK2AGYJA"]
["Business Analysis","Data Visualization Software","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.8,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","tableau-software; data-analysis; data-segment; presentation; analysis; software; visualization-graphic; data-virtualization; analytics; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.6]","NA","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Business Analysis","Data Visualization Software","Data Visualization with Python","IBM","Beginner",10.0,4.47,"https://www.coursera.org/learn/python-for-data-visualization","A picture is worth a thousand words. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.\\n\\nOne of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.\\n\\nThe main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","visualization-graphic; chart; data-segment; data-virtualization; matplotlib; map; pandas; computer-programming; choropleth-map; python-programming-language","Applied Data Science",3.0,"https://www.coursera.org/specializations/applied-data-science","This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.\\n\\nUpon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[4.6,14.5]","Vietnamese","English","data-science","data-analysis","ORAIlTLtEeizIBKbQHnlqg"]
["Business Analysis","Data Visualization Software","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","visualization-graphic; graphics; data-virtualization; graph-drawing; data-segment; software; tableau-software; graphs; data-uri-scheme; visualization-software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Chinese; Korean","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Business Analysis","Data Visualization Software","Introduction to Accounting Data Analytics and Visualization","University of Illinois at Urbana-Champaign","Beginner",41.7,4.83,"https://www.coursera.org/learn/intro-accounting-data-analytics-visual","Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.\\n \\nWe’ve divided the course into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be  completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results.\\n \\nIn the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations.\\n \\nIn the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create effective visualizations. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We introduce Visual Basic for Applications  as an example of a programming language, and the Visual Basic Editor as an example of an integrated development environment (IDE).","analytics; tableau-software; audit; data-uri-scheme; accounts-payable; method-of-analytic-tableaux; software; r-programming-language; business-analytics; data-analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[30.4,50.1]","NA","English","data-science","data-analysis","Cps4A4vKEemLgQoNkRJJng"]
["Business Analysis","Data Visualization Software","Information Visualization: Advanced Techniques","New York University Tandon School of Engineering","Advanced",19.7,4.78,"https://www.coursera.org/learn/information-visualization-advanced-techniques","This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.\\n\\nLearning Goals\\nGoal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages.\\n- Temporal\\n- Spatial\\n- Spatio-Temporal\\n- Networks\\n- Trees\\n- Text\\n\\nThis is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).","chart; area-chart; time-series; map; tableau-software; visualization-graphic; data-analysis; information-visualization; circular-layout; line-chart","Information Visualization",4.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[12.5,24.2]","NA","English","data-science","data-analysis","OULAMCiEEei4ABKHM5bfFA"]
["Business Analysis","Data Visualization Software","Information Visualization: Foundations","New York University Tandon School of Engineering","Beginner",17.3,4.74,"https://www.coursera.org/learn/information-visualization-fundamentals","The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThis course aims at introducing fundamental knowledge for information visualization. The main goal is to provide the students with the necessary “vocabulary” to describe visualizations in a way that helps them reason about what designs are appropriate for a given problem. This module also gives a broad overview of the field of visualization, introducing its goals, methods and applications.\\n\\nA learner with some or no previous knowledge in Information Visualization will get a sense of what visualization is, what it is for and in how many different situations it can be applied; will practice to describe data in a way that is useful for visualization design; will familiarize with fundamental charts to talk about the concept of visual encoding and decoding.","table-information; tableau-software; visualization-graphic; graphs; chart; abstraction-software-engineering; information-visualization; software; lambda-calculus; data-uri-scheme","Information Visualization",1.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[10.1,19]","Arabic","English","information-technology","data-management","V-oQ9Z8QEeeVAQohwd1tqg"]
["Business Analysis","Data Visualization Software","Information Visualization: Applied Perception","New York University Tandon School of Engineering","Intermediate",15.0,4.71,"https://www.coursera.org/learn/information-visualization-applied-perception","This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the human perceptual machinery.","choropleth-map; data-segment; heat-map; information-visualization; perception; visualization-graphic; color-theory; color-vision; pixel; color-space","Information Visualization",2.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[9.7,19.6]","NA","English","data-science","data-analysis","6LurYiiDEeiFdRJFkT2pzg"]
["Business Analysis","Data Visualization Software","Creating New BigQuery Datasets and Visualizing Insights","Google Cloud","Beginner",15.6,4.6,"https://www.coursera.org/learn/gcp-creating-bigquery-datasets-visualizing-insights","This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and  visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.\\n\\nNote: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","visualization-graphic; data-segment; data-uri-scheme; google-cloud-platform; google; join-sql; cloud-platforms; sql; bigquery; cloud-computing","From Data to Insights with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[4.1,23.7]","Japanese","English","information-technology","data-management","atkdXbKeEeemqw5WgBHkCA"]
["Business Analysis","Data Visualization Software","Understanding and Visualizing Data with Python","University of Michigan","Beginner",14.5,4.57,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","probability; visualization-graphic; statistics; numpy; python-programming-language; sampling-statistics; computer-programming; python-libraries; inference; analysis","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.7,22.6]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Business Analysis","Data Visualization Software","Information Visualization: Programming with D3.js","New York University Tandon School of Engineering","Advanced",24.6,4.53,"https://www.coursera.org/learn/information-visualization-programming-d3js","In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique. \\n\\nIn this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to:\\n\\n- Create bar and line charts\\n- Create choropleth and symbol maps\\n- Create node-link diagrams and tree maps\\n- Implement zooming and brushing\\n- Link two or more views through interaction\\n\\nThe course mixes theoretical and practical lectures. We will show you step by step how to use the library to build actual visualizations and what theoretical concepts lie behind them. Throughout the course you will learn skills that will lead you to building a whole application by the end of the lectures (a fully working visualization system to visualize airlines routes).\\n\\nThis course is the third one of the “Specialization in Information Visualization\". The course expects you to have some basic knowledge of programming as well as some basic visualization skills.","visualization-graphic; cascading-style-sheets; information-visualization; map; javascript; d3dotjs; html; interactive-data-visualization; interactivity; data-segment","Information Visualization",3.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[15.3,36]","NA","English","information-technology","data-management","HrLTFSiEEeiFdRJFkT2pzg"]
["Business Analysis","Exploratory Data Analysis","Introduction to Data Analysis Using Excel","Rice University","Beginner",12.0,4.68,"https://www.coursera.org/learn/excel-data-analysis","The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners -  those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. \\n________________________________________\\nWEEK 1\\nModule 1: Introduction to Spreadsheets\\nIn this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.\\n\\nTopics covered include:\\n•\\tReading data into Excel using various formats\\n•\\tBasic functions in Excel, arithmetic as well as various logical functions\\n•\\tFormatting rows and columns\\n•\\tUsing formulas in Excel and their copy and paste using absolute and relative referencing\\n________________________________________\\nWEEK 2\\nModule 2: Spreadsheet Functions to Organize Data\\nThis module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. \\n\\nTopics covered include:\\n•\\tIF and the nested IF functions\\n•\\tVLOOKUP and HLOOKUP\\n•\\tThe RANDBETWEEN function\\n________________________________________\\nWEEK 3\\nModule 3: Introduction to Filtering, Pivot Tables, and Charts\\nThis module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel.\\n\\nTopics covered include:\\n•\\tVLOOKUP across worksheets\\n•\\tData filtering in Excel\\n•\\tUse of Pivot tables with categorical as well as numerical data\\n•\\tIntroduction to the charting capability of Excel\\n________________________________________\\nWEEK 4\\nModule 4: Advanced Graphing and Charting\\nThis module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own.\\n\\nTopics covered include\\n•\\tLine, Bar and Pie charts\\n•\\tPivot charts\\n•\\tScatter plots\\n•\\tHistograms","chart; histogram; microsoft-excel; pivot-table; analysis; lookup-table; data-analysis; memoization; data-uri-scheme; pivot-chart","Business Statistics and Analysis",1.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.6,14.8]","Arabic; Spanish","English","data-science","data-analysis","OUTGOrvTEeWuCAqiwoZfSw"]
["Business Analysis","Exploratory Data Analysis","Creating Dashboards and Storytelling with Tableau","University of California, Davis","Beginner",18.9,4.58,"https://www.coursera.org/learn/dataviz-dashboards","Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.\\n\\nYou will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions.  For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.","software; data-segment; dashboard-business; storytelling; storyboarding; visualization-graphic; data-analysis; tableau-software; exploratory-data-analysis; analysis","Data Visualization with Tableau",4.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[12.7,24.1]","NA","English","data-science","data-analysis","1Ik-_RC4EeaRgQ4evS8KlQ"]
["Business Analysis","Exploratory Data Analysis","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data-uri-scheme; data-segment; visualization-graphic; data-analysis; cluster-analysis; ggplot2; exploratory-data-analysis; analysis; data-clustering-algorithms; r-programming-language","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Vietnamese; Korean; Chinese","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Business Analysis","Exploratory Data Analysis","Exploratory Data Analysis with MATLAB","MathWorks","Intermediate",26.1,4.87,"https://www.coursera.org/learn/exploratory-data-analysis-matlab","In this course, you will learn to think like a data scientist and ask questions of your data.  You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use  MATLAB to automatically generate code so you can learn syntax as you explore.  You will also use interactive documents, called live scripts,  to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.\\n\\nThese skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). \\n\\nBy the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data.  You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.","data-analysis; exploratory-data-analysis; analysis; visualization-graphic; data-science; evaluation; matlab; data-segment; data-uri-scheme; live-cd","Practical Data Science with MATLAB",1.0,"https://www.coursera.org/specializations/practical-data-science-matlab","Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?\\n\\nCompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.\\n\\nThis specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).\\n\\nThroughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.","[18.2,31.6]","NA","English","data-science","data-analysis","oPaAXFvdEemmqxJnu16Qrg"]
["Business Analysis","Exploratory Data Analysis","Managing Data Analysis","Johns Hopkins University","Beginner",15.1,4.53,"https://www.coursera.org/learn/managing-data-analysis","This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. \\n\\nThis is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.\\n\\nAfter completing this course you will know how to….\\n\\n1. Describe the basic data analysis iteration\\n2. Identify different types of questions and translate them to specific datasets\\n3. Describe different types of data pulls\\n4. Explore datasets to determine if data are appropriate for a given question\\n5. Direct model building efforts in common data analyses\\n6. Interpret the results from common data analyses\\n7. Integrate statistical findings to form coherent data analysis presentations\\n\\nCommitment: 1 week of study, 4-6 hours\\n\\nCourse cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD","interpretation; data-analysis; data-segment; data-management; modeling; communication; analysis; data-uri-scheme; exploratory-data-analysis; management","Executive Data Science",3.0,"https://www.coursera.org/specializations/executive-data-science","Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.\\n\\nIn four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.","[4.2,26.8]","Japanese","English","business","leadership-and-management","X1RtV0EiEeWC4g7VhG4bTQ"]
["Business Analysis","Exploratory Data Analysis","Foundations of Data Science: K-Means Clustering in Python","University of London","Beginner",28.3,4.73,"https://www.coursera.org/learn/data-science-k-means-clustering-python","Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.\\n\\nThis MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. \\n\\nYou will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.","k-means-clustering; numpy; cluster-analysis; python-programming-language; computer-programming; matplotlib; analysis; data-analysis; data-clustering-algorithms; data-uri-scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.5,41.5]","NA","English","data-science","machine-learning","ZIbi3keZEeiXKw7ezJHsxg"]
["Business Analysis","Exploratory Data Analysis","Introduction to Probability and Data","Duke University","Beginner",21.4,4.68,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","data-uri-scheme; studentized-residual; probability; rstudio; data-analysis; analysis; statistics; r-programming-language; computer-programming; exploratory-data-analysis","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.7,25]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Business Analysis","Exploratory Data Analysis","Data Analysis with Python","IBM","Beginner",48.9,4.62,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","regression-analysis; python-programming-language; data-wrangling; data-analysis; data-segment; modeling; analysis; linearity; computer-programming; data-uri-scheme","Applied Data Science",2.0,"https://www.coursera.org/specializations/applied-data-science","This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.\\n\\nUpon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.2,90]","Arabic; Korean; Vietnamese","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["Business Analysis","Exploratory Data Analysis","Communicating Business Analytics Results","University of Colorado Boulder","Advanced",11.0,4.3,"https://www.coursera.org/learn/communicating-business-analytics-results","The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to  stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.","visualization-graphic; presentation; data-segment; data-analysis; chart; data-virtualization; analysis; communication; analytics; data-uri-scheme","Advanced Business Analytics",4.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[5.2,15.1]","Korean","English","data-science","data-analysis","eUWBVhk4Eeag3wpmDUdcTQ"]
["Business Analysis","Exploratory Data Analysis","Creating Dashboards and Storytelling with Tableau","University of California, Davis","Beginner",18.9,4.58,"https://www.coursera.org/learn/dataviz-dashboards","Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.\\n\\nYou will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions.  For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.","software; data-segment; dashboard-business; storytelling; storyboarding; visualization-graphic; data-analysis; tableau-software; exploratory-data-analysis; analysis","Data Visualization with Tableau",4.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[12.7,24.1]","NA","English","data-science","data-analysis","1Ik-_RC4EeaRgQ4evS8KlQ"]
["Business Analysis","Exploratory Data Analysis","Exploring ​and ​Preparing ​your ​Data with BigQuery","Google Cloud","Intermediate",18.4,4.65,"https://www.coursera.org/learn/gcp-exploring-preparing-data-bigquery","Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide.\\n\\nThis first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets.\\n\\nThis course should take about one week to complete, 5-7 total hours of work.  By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","data-segment; sql; cloud-platforms; google-cloud-platform; cloud-computing; google; analysis; data-analysis; bigquery; data-uri-scheme","From Data to Insights with Google Cloud Platform",1.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.4,29.5]","Japanese","English","information-technology","data-management","fcZrZLB0EeeQLRLS0gmBZA"]
["Business Analysis","Exploratory Data Analysis","Data Analysis Tools","Wesleyan University","Beginner",12.7,4.44,"https://www.coursera.org/learn/data-analysis-tools","In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.","chi-squared-distribution; data-uri-scheme; analysis-of-variance; hypothesis-testing; python-programming-language; software-testing; analysis; statistics; data-analysis; studentized-residual","Data Analysis and Interpretation",2.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9,15.6]","NA","English","data-science","data-analysis","ENhHCTboEeW8ZAoCexam_w"]
["Business Analysis","Statistical Analysis","Inferential and Predictive Statistics for Business","University of Illinois at Urbana-Champaign","Beginner",16.9,4.82,"https://www.coursera.org/learn/business-statistics","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. The course aim to cover statistical ideas that apply to managers. We will consider two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on  interpreting the meaning of the results in a business and managerial setting.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies.  This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tTest for beliefs about a population..\\n•\\tCompare differences between populations.\\n•\\tUse linear regression model for prediction. \\n•\\tLearn how to use Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","statistical-hypothesis-testing; predictive-analytics; statistical-analysis; hypothesis; analytics; hypothesis-testing; statistical-inference; analysis; statistics; inference","Managerial Economics and Business Analysis",6.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.7,20]","Korean","English","business","business-essentials","SPXfEJz9EeWILQ7D3uPEMw"]
["Business Analysis","Statistical Analysis","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.2,4.78,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","microsoft-excel; statistical-analysis; studentized-residual; confidence; data-analysis; normal-distribution; confidence-interval; analysis; data-segment; statistics","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.4]","Korean; Arabic","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Business Analysis","Statistical Analysis","Six Sigma Advanced Define and Measure Phases","University System of Georgia","Advanced",18.2,4.68,"https://www.coursera.org/learn/six-sigma-define-measure-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Design\" and \"Measure\" phases of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the course \"Six Sigma and the Organization (Advanced)\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics,  statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","six-sigma; statistical-analysis; statistical-process-control; statistics; six-sigma-green-belt; process; analysis; green-belt; trigonometric-integral; process-control","Six Sigma Green Belt",2.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[6.6,29.3]","Romanian","English","business","leadership-and-management","usDrwZrMEeakABJ61gAZMA"]
["Business Analysis","Statistical Analysis","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Intermediate",22.9,4.74,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","statistical-hypothesis-testing; clinical-research; statistical-analysis; statistical-methods; data-analysis; analysis; statistics; statistical-tests; hypothesis; data-uri-scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,26.8]","NA","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["Business Analysis","Statistical Analysis","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","analysis; studentized-residual; microsoft-excel; statistical-analysis; statistics; poisson-distribution; binomial-distribution; chi-squared-distribution; probability; normal-distribution","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.4,13.8]","NA","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Business Analysis","Statistical Analysis","Introduction to Statistics & Data Analysis in Public Health","Imperial College London","Advanced",12.2,4.69,"https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health","Welcome to Introduction to Statistics & Data Analysis in Public Health!\\n\\nThis course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","statistical-analysis; hypothesis-testing; statistical-hypothesis-testing; analysis; rstudio; hypothesis; software-testing; statistics; computer-programming; r-programming-language","Statistical Analysis with R for Public Health",1.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.5,16.1]","NA","English","life-sciences","public-health","wYVFrFUOEeiXDgqeSsw0yA"]
["Business Analysis","Statistical Analysis","Python and Statistics for Financial Analysis","The Hong Kong University of Science and Technology","Beginner",11.2,4.46,"https://www.coursera.org/learn/python-statistics-financial-analysis","Course Overview: https://youtu.be/JgFV5qzAYno\\n\\nPython is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.\\n\\nBy the end of the course, you can achieve the following using python:\\n\\n- Import, pre-process, save and visualize financial data into pandas Dataframe\\n\\n- Manipulate the existing financial data by generating new variables using multiple columns\\n\\n- Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts\\n\\n- Build a trading model using multiple linear regression model \\n\\n- Evaluate the performance of the trading model using different investment indicators\\n\\nJupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.","financial-modeling; pandas; statistical-analysis; financial-analysis; statistics; balance-sheet; finance; python-programming-language; analysis; computer-programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.3]","NA","English","business","finance","ockwjyGkEeiAdw4vw_tgPg"]
["Business Analysis","Statistical Analysis","Data Analytics for Lean Six Sigma","University of Amsterdam","Intermediate",15.3,4.81,"https://www.coursera.org/learn/data-analytics-for-lean-six-sigma","Welcome to this course on Data Analytics for Lean Six Sigma. \\n\\nIn this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.\\n\\nI will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. \\n\\nThe setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. \\n\\nI hope that you enjoy this course and good luck!\\nDr. Inez Zwetsloot & the IBIS UvA team","six-sigma; data-uri-scheme; lean-six-sigma; minitab; trigonometric-integral; regression-analysis; data-segment; data-analysis; statistics; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,18.6]","Romanian","English","data-science","data-analysis","X8wHJ9gYEeahUgoYYL5t3g"]
["Business Analysis","Statistical Analysis","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","model-building; statistical-analysis; linearity; modeling; analysis; statistics; regression-analysis; r-programming-language; computer-programming; linear-regression","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.1,16.4]","NA","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["Business Analysis","Statistical Analysis","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; statistical-hypothesis-testing; software-testing; microsoft-excel; data-analysis; confidence-interval; hypothesis-testing; hypothesis; statistics","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.8,16.9]","NA","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Business Analysis","Statistical Analysis","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","linear-regression; dummy-variable-statistics; interaction; microsoft-excel; regression-analysis; interaction-statistics; statistics; linearity; analysis; multicollinearity","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.2]","NA","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Business Analysis","Customer Analysis","Marketing Analytics","University of Virginia","Beginner",23.7,4.5,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","experiment; regression-analysis; analytics; analysis; brand; brand-architecture; marketing; stock; marketing-analytics; brand-equity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,28]","NA","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Business Analysis","Customer Analysis","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Business Analysis","Customer Analysis","Survey analysis to Gain Marketing Insights","Emory University","Advanced",5.0,4.34,"https://www.coursera.org/learn/survey-analysis-marketing-insights","How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers. In Analytic Methods for Survey Data, learners will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling. These techniques are presented within the STP (Segmentation, Positioning, Targeting) Framework, enabling learners to apply the analytic techniques to develop a marketing strategy. It is recommended that you complete the Meaningful Marketing Insights course offered by Coursera before taking this course. \\n\\nNote: This course would require using XL Stat, an Excel Add-on that students would need to purchase. XL Stat offers a 30-day free trial, so students could complete this course without incurring additional expense.","market-segmentation; xlstat; marketing; market-economics; factor-analysis; cluster-analysis; marketing-analytics; perceptual-mapping; customer; analysis","Foundations of Marketing Analytics",4.0,"https://www.coursera.org/specializations/marketing-analytics","In this specialization you will learn how to:\\n\\n• Find, extract, organize and describe data to support business decisions\\n\\n• Identify, quantify and interpret relationships between variables\\n\\n• Derive customer insights from your data\\n\\n• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions\\n\\n• Present and justify a course of action to management\\n\\nThe capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.","[2.4,6.1]","NA","English","business","marketing","ciNPtDTPEeagOA7KA9ciIQ"]
["Business Analysis","Customer Analysis","Marketing analytics: Know your customers","Macquarie University","Intermediate",11.6,4.3,"https://www.coursera.org/learn/marketing-analytics-customers","Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints across the customer journey make it increasingly difficult to measure effectiveness. You will develop an understanding of traditional and digital marketing metrics and what questions they answer, as well as how to achieve a single integrated view of the customer. You’ll experiment with behaviour and predictive analytics to develop marketing that delivers customers the right product via the right channel at the right time.","customer; customer-relationship-management; customer-experience; marketing-analytics; experience; marketing; management; digital-marketing; analytics; knowledge-management","Analysing: Numeric and digital literacies",4.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[5.8,15.5]","NA","English","business","marketing","vxUgaKWwEeidiRKo7opZig"]
["Business Analysis","Customer Analysis","Foundations of Marketing Analytics","ESSEC Business School","Intermediate",7.5,4.49,"https://www.coursera.org/learn/foundations-marketing-analytics","Who is this course for?  \\nThis course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing.\\n\\nYou will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering.\\nHowever, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.\\n\\nBusiness Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage.\\n\\nIt's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on.\\n\\nBut at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future.\\n\\nThat's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course.","predictive-analytics; marketing-analytics; market-economics; market-segmentation; analytics; customer-lifetime-value; marketing; data-analysis; customer; analysis","Strategic Business Analytics",2.0,"https://www.coursera.org/specializations/strategic-analytics","This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing.","[4.4,9.3]","Korean","English","business","marketing","1e3cxzeNEeWO-Qq6rEZAow"]
["Business Analysis","Financial Analysis","The Language and Tools of Financial Analysis","The University of Melbourne","Beginner",13.3,4.61,"https://www.coursera.org/learn/financial-analysis","In this course, participants will learn the foundations of accounting principles and financial analysis, develop an understanding of the links between these, and the measurement of value creation at the firm level. This is the first course in a four-course Specialization on the Essentials of Corporate Financial Analysis and Decision-Making, created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).\\n\\nView the MOOC promotional video here: http://tinyurl.com/jeoa83t","corporate-finance; financial-ratio; accounting; financial-analysis; ratio-analysis; corporate-bond; balance-sheet; finance; financial-statement; analysis","Essentials of Corporate Finance",1.0,"https://www.coursera.org/specializations/learn-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[8.9,15.7]","NA","English","business","finance","VuB23StaEeWccAqzeA4VPw"]
["Business Analysis","Financial Analysis","Python and Statistics for Financial Analysis","The Hong Kong University of Science and Technology","Beginner",11.2,4.46,"https://www.coursera.org/learn/python-statistics-financial-analysis","Course Overview: https://youtu.be/JgFV5qzAYno\\n\\nPython is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.\\n\\nBy the end of the course, you can achieve the following using python:\\n\\n- Import, pre-process, save and visualize financial data into pandas Dataframe\\n\\n- Manipulate the existing financial data by generating new variables using multiple columns\\n\\n- Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts\\n\\n- Build a trading model using multiple linear regression model \\n\\n- Evaluate the performance of the trading model using different investment indicators\\n\\nJupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.","financial-modeling; pandas; statistical-analysis; financial-analysis; statistics; balance-sheet; finance; python-programming-language; analysis; computer-programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.3]","NA","English","business","finance","ockwjyGkEeiAdw4vw_tgPg"]
["Business Analysis","Operational Analysis","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["Business Analysis","Operational Analysis","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["Business Analysis","Operational Analysis","Scaling Operations: Linking Strategy and Execution","Northwestern University","Beginner",14.7,4.47,"https://www.coursera.org/learn/operations-strategy","UPDATE FEBRUARY 2020: Scaling Operations: Linking Strategy and Execution will close for new learner enrollment on February 26, 2020. \\n\\n----\\nOver the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.\\n\\nScaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy.\\n\\nEach week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization.","scaling; process-management; enterprise-system; systems-thinking; estimation; management; process; strategic-management; asset; operations-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.9,18.3]","NA","English","business","business-strategy","Cil8XPTgEeSlpiIAC7NwBA"]
["Business Analysis","People Analysis","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Business Analysis","People Analysis","Sampling People, Networks and Records","University of Michigan","Intermediate",30.3,4.4,"https://www.coursera.org/learn/sampling-methods","Good data collection is built on good samples.  But the samples can be chosen in many ways.  Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done.  Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.  Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control.  It is these last kinds of samples that will be discussed in this course.  We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples.  The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.","survey-methodology; user-research; spss; data-collection; survey-design; data-clustering-algorithms; sampling-statistics; cluster-sampling; saving; statistics","Survey Data Collection and Analytics",4.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.","[20,45.5]","NA","English","life-sciences","psychology","2_xJtuxuEeWMXQ7KUwccNw"]
["Business Analysis","Process Analysis","Data Analytics for Lean Six Sigma","University of Amsterdam","Intermediate",15.3,4.81,"https://www.coursera.org/learn/data-analytics-for-lean-six-sigma","Welcome to this course on Data Analytics for Lean Six Sigma. \\n\\nIn this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.\\n\\nI will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. \\n\\nThe setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. \\n\\nI hope that you enjoy this course and good luck!\\nDr. Inez Zwetsloot & the IBIS UvA team","six-sigma; data-uri-scheme; lean-six-sigma; minitab; trigonometric-integral; regression-analysis; data-segment; data-analysis; statistics; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,18.6]","Romanian","English","data-science","data-analysis","X8wHJ9gYEeahUgoYYL5t3g"]
["Business Analysis","Process Analysis","The hidden value – Lean in manufacturing and services","École des Ponts ParisTech","Advanced",19.4,4.7,"https://www.coursera.org/learn/lean-manufacturing-services","Lean is a powerful methodology that enables managers and employees to shift their mindset and helps companies to keep their business sustainable by creating competitive advantage. Today, in an increasingly complex and dynamic world, where companies struggle to maintain competitive advantage, Lean is more important than ever.\\n\\nThis course combines the experience of many senior experts and practitioners from the Boston Consulting Group and École des Ponts, and brings perspectives on Lean in manufacturing and services. It offers strong topic foundation as well as deep practical insights into the art of continuous improvement.\\n\\nIn this course, you will learn:\\n- why Lean is a key driver for sustainable competitive advantage\\n- how different companies can leverage Lean to create value both in manufacturing and services\\n- what it takes to drive a Lean transformation and build a culture of continuous improvement \\n- how new technologies impact traditional lean practices","kaizen; value-stream-mapping; streams; lean-thinking; manufacturing-process-management; lean-methods; mapping; lean-manufacturing; trigonometric-integral; six-sigma","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,22]","Greek","English","business","business-essentials","4-9JtLbjEeaqPQ5tUH5EoA"]
["Business Analysis","Process Analysis","Six Sigma Tools for Improve and Control","University System of Georgia","Intermediate",6.8,4.69,"https://www.coursera.org/learn/six-sigma-improve-control","This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the  improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","management; lean-six-sigma; trigonometric-integral; statistical-hypothesis-testing; process; process-improvement; process-control; hypothesis; statistics; six-sigma","Six Sigma Yellow Belt",4.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[3.8,9.3]","NA","English","business","business-essentials","OAyrZ4C8EeaajBLtQE6fuQ"]
["Business Analysis","Process Analysis","Six Sigma Tools for Analyze","University System of Georgia","Beginner",6.0,4.68,"https://www.coursera.org/learn/six-sigma-analyze","This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. \\n\\nThe statistics module will provide you with an overview of the concepts and you will be given multiple example problems to see how to apply these concepts. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","studentized-residual; binomial-distribution; chi-squared-distribution; statistics; probability; data-analysis; trigonometric-integral; analysis; root; six-sigma","Six Sigma Yellow Belt",3.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[2.8,7.7]","NA","English","business","business-essentials","0A3l7IC7Eeax2hIyhBbMWQ"]
["Business Analysis","Process Analysis","Six Sigma Tools for Define and Measure","University System of Georgia","Beginner",5.8,4.56,"https://www.coursera.org/learn/six-sigma-tools-define-measure","This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will cover the Define phase and introduce you to the Measure phase of the DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about Six Sigma project development and implementation, you will become familiar with project management tools, you will be introduced to statistics and understand its significance to Six Sigma, and finally you will learn about data collection and its importance to an organization.\\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","six-sigma; management; project-management; data-collection; project; statistics; measurement; trigonometric-integral; data-analysis; analysis","Six Sigma Yellow Belt",2.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[2.8,7.7]","NA","English","business","business-essentials","pHwuX4C7EeawAApvKZgcCQ"]
["Business Analysis","Process Analysis","Six Sigma Principles","University System of Georgia","Beginner",9.6,4.54,"https://www.coursera.org/learn/six-sigma-principles","This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","team-management; management; process; trigonometric-integral; mapping; lean-six-sigma; lean-methods; process-improvement; six-sigma; quality-control","Six Sigma Yellow Belt",1.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[5.3,12.2]","Arabic","English","business","business-essentials","jPWJXYC7Eea-WAqa1tl72w"]
["Business Analysis","Spreadsheet Software","Excel Skills for Business: Intermediate I","Macquarie University","Beginner",21.9,4.89,"https://www.coursera.org/learn/excel-intermediate-1","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digitals skills lead to higher income and better employment opportunities at a time when digital skills job are growing much faster than non-digital jobs.\\n\\nIn this second course of our Excel specialization Excel Skills for Business you will build on the strong foundations of the Essentials course. Intermediate Skills I will expand your Excel knowledge to new horizons. You are going to discover a whole range of skills and techniques that will become a standard component of your everyday use of Excel. In this course, you will build a solid layer of more advanced skills so you can manage large datasets and create meaningful reports. These key techniques and tools will allow you to add a sophisticated layer of automation and efficiency to your everyday tasks in Excel.\\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Prashan and Nicky will guide you through each week (and I am even going to make a guest appearance in Week 5 to help you learn about my favourite tool in Excel - shh, no spoilers!). Work through each new challenge step-by-step and in no time you will surprise yourself by how far you have come. This time around, we are going to follow Uma's trials and tribulations as she is trying to find her feet in a new position in the fictitious company PushPin. For those of you who have done the Essentials course, you will already be familiar with the company. Working through her challenges which are all too common ones that we encounter everyday, will help you to more easily relate to the skills and techniques learned in each week and apply them to familiar and new contexts.","eulers-totient-function; analysis; concatenation; memoization; consolization; pivot-table; chart; microsoft-excel; data-segment; pivot-chart","Excel Skills for Business",2.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[13.7,28.3]","Vietnamese; Arabic","English","business","business-essentials","ZS2v-E_kEeeqIxKkUVGiXg"]
["Business Analysis","Spreadsheet Software","Excel/VBA for Creative Problem Solving, Part 2","University of Colorado Boulder","Beginner",24.9,4.87,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-2","Excel/VBA for Creative Problem Solving, Part 2 builds off of knowledge and skills obtained in \"Excel/VBA for Creative Problem Solving, Part 1\" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).\\n\\nIn Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to .txt files and import information from .txt files; 3) automate the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook; and 4) gain experience with creating professional user forms to interface with the user, perform advanced calculations, and manipulate data on the spreadsheet.\\n\\nLearners who have a foundational understanding of VBA code and programming structures can jump right into Part 2 of the course without taking Part 1 and use the screencasts in Part 1 as reference.\\n\\nEach module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","microsoft-excel-macro; visual-basic; microsoft-excel; microsoft-excel-vba; combo-box; arrays; problem-solving; computer-program; macro-computer-science; computer-programming","Excel/VBA for Creative Problem Solving",2.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[17.1,40.6]","NA","English","computer-science","algorithms","wfmMJNMKEeeatxK9DfVCWA"]
["Business Analysis","Spreadsheet Software","Excel Skills for Business: Essentials","Macquarie University","Beginner",20.3,4.84,"https://www.coursera.org/learn/excel-essentials","In this first course of the specialization Excel Skills for Business you will learn the Essentials of Microsoft Excel. Within six weeks, you will learn to expertly navigate the Excel user interface, perform basic calculations with formulas and functions, professionally format spreadsheets, and create visualizations of data through charts and graphs.\\n\\nWhether you are self-taught and want to fill in the gaps for better efficiency and productivity, or whether you have never used Excel before, this course will set you up with a solid foundation to become a confident user and develop more advanced skills in later courses. \\n\\nWe have brought together a great teaching team that will be with you every step of the way. A broad range of practice quizzes and challenges will provide great opportunities to build up your skillset. Work through each new challenge with our team and in no time you will surprise yourself with how far you have come. \\n\\nSpreadsheet software is one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. At a time when digital skills jobs are growing much faster than non-digital jobs, make sure to position yourself ahead of the rest by adding Excel skills to your employment portfolio.","spreadsheet; chart; page-layout; microsoft-excel; graphs; sorting; data-segment; keyboard-shortcut; analysis; data-uri-scheme","Excel Skills for Business",1.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[11.3,31.9]","Arabic","English","business","business-essentials","_uJaK-gwEeaksw4f8WaZLg"]
["Business Analysis","Spreadsheet Software","Excel/VBA for Creative Problem Solving, Part 1","University of Colorado Boulder","Beginner",27.7,4.84,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-1","Excel/VBA for Creative Problem Solving, Part 1 is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).  \\n\\nThis course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems.  In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.\\n\\nNew to computer programming?  The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code!  No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.\\n\\nAfter you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","computer-programming; microsoft-excel; microsoft-excel-macro; user-defined-function; problem-solving; debugging; computer-program; microsoft-excel-vba; macro-computer-science; eulers-totient-function","Excel/VBA for Creative Problem Solving",1.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[12.8,46.9]","NA","English","computer-science","algorithms","MFaw7sV2Eee5rApLdx8b-g"]
["Business Analysis","Spreadsheet Software","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.5,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","macro-computer-science; microsoft-excel-macro; lookup-table; microsoft-excel; data-validation; data-model; solver; data-segment; memoization; data-uri-scheme","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[15.7,30.5]","Vietnamese; Arabic","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["Business Analysis","Spreadsheet Software","Excel/VBA for Creative Problem Solving, Part 3 (Projects)","University of Colorado Boulder","Beginner",27.8,4.8,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-3-projects","In this course, learners will complete several VBA projects.  It is highly recommended that learners first take \"Excel/VBA for Creative Problem Solving, Part 1\" and \"Excel/VBA for Creative Problem Solving, Part 2\".  This course builds off of skills learned in those two courses.  This is a project-based course.  Therefore, the projects are quite open-ended and there are multiple ways to solve the problems.  Through the use of Peer Review, other learners will grade learners' projects based on a grading rubric.","data-segment; programming-language; microsoft-excel; analysis; computer-programming; microsoft-excel-vba; omega-language; monte-carlo-method; arrays; language","Excel/VBA for Creative Problem Solving",3.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[18.9,34.1]","NA","English","computer-science","algorithms","cDXfJhBlEei39QrsjEDTBA"]
["Business Analysis","Spreadsheet Software","Excel Skills for Business: Advanced","Macquarie University","Advanced",25.8,4.69,"https://www.coursera.org/learn/excel-advanced","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces around the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. Across the globe, millions of job advertisements requiring Excel skills are posted every day. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this course will position you ahead of others, so keep reading.\\n\\nIn this last course of our Specialization Excel Skills for Business you will build on the strong foundations of the first three courses: Essentials, Intermediate I + II.  In the Advanced course, we will prepare you to become a power user of Excel - this is your last step before specializing at a professional level. The topics we have prepared will challenge you as you learn how to use advanced formula techniques and sophisticated lookups. You will clean and prepare data for analysis, and learn how to work with dates and financial functions. An in-depth look at spreadsheet design and documentation will prepare you for our big finale, where you will learn how to build professional dashboards in Excel.","finance; lookup-table; eulers-totient-function; data-cleansing; dashboard-business; arrays; microsoft-excel; index; data-uri-scheme; data-segment","Excel Skills for Business",4.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[17.4,32.8]","Arabic","English","business","business-essentials","J2Pao0_lEeeF5RIYZYolcA"]
["Business Psychology","Best Courses","Biases and Portfolio Selection","Rice University","Beginner",17.0,4.47,"https://www.coursera.org/learn/biases-portfolio-selection","Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons. You will learn how to recognize your own mistakes as well as others’ and understand how these mistakes can affect investment decisions and financial markets.  You will also explore how different preferences and investment horizons impact the optimal asset allocation choice.\\n\\nAfter this course, you will be more effective in overcoming biases to do the wrong things at the wrong times and tailoring an investment strategy that is best suited on your or your client’s profile and investment needs.","cognitive-bias; investor; efficient-market-hypothesis; stock; behavioral-finance; bias; market-economics; behavioral-economics; investment; finance","Investment and Portfolio Management",3.0,"https://www.coursera.org/specializations/investment-portolio-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[10.5,26.6]","NA","English","business","finance","4FUch7u_EeW6QBIGzzljVw"]
["Business Psychology","Best Courses","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Business Psychology","Best Courses","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","cross-cultural-communication; leadership; conflict-resolution; communication; organizational-conflict; intercultural-communication; social-network; leadership-development; management; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,20.7]","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["Business Psychology","Best Courses","Unethical Decision Making in Organizations","University of Lausanne","Intermediate",14.2,4.83,"https://www.coursera.org/learn/unethical-decision-making","This course 'Unethical decision making in organizations : A seminar on the dark side of the force' will teach you how strong organizational contexts push good people towards unethical decisions. You will also learn how to protect yourself and your organization against such forces lurking in the dark.\\n\\nAbout the Course\\n\\nThis course teaches how narrow frames and strong contexts can push good people towards unethical decisions and how they can protect themselves and their organization against ethical blindness.\\n\\nThe goal of this course is to empower the participants to analyze the risks of unethical or illegal behavior that might be triggered by powerful contexts. It draws from various disciplines such as management, psychology, sociology, philosophy, and literature, in order to learn what these disciplines contribute to a better understanding of unethical behavior. The course also analyzes some of the most prominent organizational scandals of the recent decades through the lenses of these disciplines.\\n\\nWhenever we hear about ethical scandals, we tend to believe that unethical or illegal behaviour in organizations is driven by character deficiencies of individual actors. Put differently, we simply assume that bad things are done by bad people. However, numerous corporate scandals have demonstrated that even people with a high level of integrity can break the rules if they are put into a strong context.\\n\\nA better understanding of why and under what conditions good people make bad ethical decisions will enable us to better protect individuals as well as their respective organizations against the potentially overwhelming power of the context. It will also enable us to cure societies from problems like corruption.\\n\\nAt the end of the course, you are able to:\\n\\n1.    Explain the impact of social context on individual decision making using various theories (from Management, Sociology, Psychology, and Philosophy) \\n2.    Apply these theories to the analysis of some of the most eminent organizational scandals of the recent decades \\n3.    Assess risks of ethical blindness in your own organizational context \\n4.    Design interventions to reduce such risks for yourself and your organization \\n\\n\\nRecommended Background\\n\\nNo background expertise is required. The course is open for interested layperson as well as experts who work on related topics, be it as researchers or practitioners (e.g., compliance managers in corporations).\\n\\nWhy is this course important for me? \\n\\nCurrently, the understanding of why good people make unethical decisions is rather limited, related research is rather fragmented, and the management of such problems in organizations is overly simplistic, legalistic, and inadequate. Understanding contexts, including the dangers of routines, the mindlessness of our daily decisions, and the healing power of mindful decision-making routines is of increasing importance. In this course, you will learn the latest knowledge and the appropriate tool box for dealing with ethical challenges that you will face throughout your life!\\n\\nWhat do I need to follow this course? \\n\\nWe build bridges between various scientific disciplines and will familiarize you with those disciplines smoothly. You need no expertise, just come and share your own real-world experiences about unethical decisions. After all, we are all experts in making decisions—some more ethically, some less ethically—aren’t we?","integration-testing; decision-making; psychologies; mindfulness; utility; awareness; psychology; prevention; thought; ethics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,17.6]","German","English","life-sciences","psychology","A9Yb1uFoEeWLHw5Kc9wFbw"]
["Business Psychology","Best Courses","Professionalism in an era of change","Utrecht University","Intermediate",14.8,5.0,"https://www.coursera.org/learn/professionalism-in-an-era-of-change","In this course we aim to provide you with an insight into how recent societal and technological developments have changed the work of professionals in a variety of professional domains and how this in turn affects professionalism. The course highlights core themes, discusses main insights and theories, raises questions and presents cases, and links insights to practical challenges in various professional domains. It provides a state of the art assessment of professionalism in transition, by looking back and looking forward. It supports target audiences in dealing with professional services and professionals.  \\n\\nThe programme has an interdisciplinary approach and will focus on different levels:\\nAt macro level the course presents a historical and sociological view on past and future changes in professions, focused on: \\n•\\thow do professional fields develop?\\n•\\thow is professionalism promoted and encouraged among professionals?\\n•\\thow do professional fields control and empower their members?\\n\\nAt meso level the course presents an organisational view on changes within professional partnerships and institutions, focused on the following questions:\\n•\\thow do norms and routines affect professionals and professional work?\\n•\\thow do professionals organise and lead professional work?\\n\\nAt micro level a psychological perspective on changing work and a changing work environment of professionals is presented. This part focuses on the following questions:\\n•\\thow do professionals deal with work pressure and remain motivated?\\n•\\twhich competencies do professionals require to be able and capable to deliver?\\n\\nWe invite you to join us and increase your understanding of the topics addressed in this course through lectures, interviews, animations, readings and peer interaction.","psychology; organizing-management; empowerment; lifelong-learning; professional; organizational-psychology; quality-control; market-economics; sociology; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,18.1]","NA","English","personal-development","personal-development","0jk2ODDsEeiGpQoF2nM0eA"]
["Business Psychology","Best Courses","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Business Psychology","Best Courses","Social Psychology","Wesleyan University","Advanced",38.6,4.85,"https://www.coursera.org/learn/social-psychology","Ever wonder why people do what they do? This course—which includes more than $1,000 of video and reading materials—offers some answers based on the latest research from social psychology. Students taking the course for a Certificate will also receive free membership in Social Psychology Network (SocialPsychology.org).\\n\\nCOURSE DESCRIPTION FROM PROFESSOR PLOUS:\\n\\nEach of us is dealt a different hand in life, but we all face similar questions when it comes to human behavior: What leads us to like one person and dislike another? How do conflicts and prejudices develop, and how can they be reduced? Can psychological research help protect the environment, and if so, how? This course offers a brief introduction to classic and contemporary social psychology, covering topics such as decision making, persuasion, group behavior, personal attraction, and factors that promote health and well-being.\\n\\nOur focus will be on surprising, entertaining, and intriguing research findings that are easy to apply in daily life. The course will also draw from the websites of Social Psychology Network, the world's largest online community devoted to social psychology. I hope you'll join me for this course, have fun, and learn some useful information that enriches your life.","behavior; compassion; empathy; psychology; human-behavior; social-psychology; social-skills; psychologies; communication; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[26.8,43.3]","Chinese; Spanish","English","life-sciences","psychology","qLwmkiOZEeadsBKew8xmjQ"]
["Business Psychology","Best Courses","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Business Psychology","Best Courses","Introduction to Self-Determination Theory: An approach to motivation, development and wellness","University of Rochester","Intermediate",13.4,4.91,"https://www.coursera.org/learn/self-determination-theory","Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. \\n\\nIn this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.","self-determination-theory; psychotherapy; attention-deficit-hyperactivity-disorder; addiction; personal-development; spatial-data-transfer-standard; relationship-counseling; psychology; motivation; coaching","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.3,19]","NA","English","life-sciences","psychology","vQs6P8eLEea_mxKQvxD5nA"]
["Business Psychology","Best Courses","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","user-research; evaluation; principle; experience; user-experience; usability; heuristic; heuristic-evaluation; experience-design; user-experience-design","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.4,22.4]","NA","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Business Psychology","Behavioral Economics","Model Thinking","University of Michigan","Beginner",37.8,4.77,"https://www.coursera.org/learn/model-thinking","We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. \\n\\nThe models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!","economics; thought; strategic-thinking; modeling; systems-thinking; economic-models; decision-making; integration-testing; critical-thinking; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.6,50.4]","Turkish; Chinese; Arabic; Ukrainian; Portuguese","English","social-sciences","economics","kbmiwPT-EeSW1SIAC3oCCQ"]
["Business Psychology","Behavioral Economics","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Business Psychology","Behavioral Economics","Financial Markets","Yale University","Advanced",74.7,4.75,"https://www.coursera.org/learn/financial-markets-global","An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","risk-management; financial-risk; stock; behavioral-finance; investment; market-economics; financial-markets; finance; risk; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.2,130.1]","Spanish; Korean","English","business","finance","SgcGB0YOEeemlQrrzf9X-A"]
["Business Psychology","Behavioral Economics","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["Business Psychology","Behavioral Economics","Welcome to Game Theory","The University of Tokyo","Advanced",20.6,4.61,"https://www.coursera.org/learn/game-theory-introduction","This course provides a brief introduction to game theory. Our main goal is to understand the basic ideas behind the key concepts in game theory, such as equilibrium, rationality, and cooperation. The course uses very little mathematics, and it is ideal for those who are looking for a conceptual introduction to game theory.\\n\\nBusiness competition, political campaigns, the struggle for existence by animals and plants, and so on, can all be regarded as a kind of “game,” in which individuals try to do their best against others. Game theory provides a general framework to describe and analyze how individuals behave in such “strategic” situations.\\n\\nThis course focuses on the key concepts in game theory, and attempts to outline the informal basic ideas that are often hidden behind mathematical definitions. Game theory has been applied to a number of disciplines, including economics, political science, psychology, sociology, biology, and computer science. Therefore, a warm welcome is extended to audiences from all fields who are interested in what game theory is all about.","strategic-planning; planning; cooperation; decision-making; rationality; learning; game-theory; nash-equilibrium; rational-choice-theory; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,28.5]","NA","English","social-sciences","economics","hhFDsQ72EeWPhwrBf2tcNQ"]
["Business Psychology","Behavioral Economics","Biases and Portfolio Selection","Rice University","Beginner",17.0,4.47,"https://www.coursera.org/learn/biases-portfolio-selection","Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons. You will learn how to recognize your own mistakes as well as others’ and understand how these mistakes can affect investment decisions and financial markets.  You will also explore how different preferences and investment horizons impact the optimal asset allocation choice.\\n\\nAfter this course, you will be more effective in overcoming biases to do the wrong things at the wrong times and tailoring an investment strategy that is best suited on your or your client’s profile and investment needs.","cognitive-bias; investor; efficient-market-hypothesis; stock; behavioral-finance; bias; market-economics; behavioral-economics; investment; finance","Investment and Portfolio Management",3.0,"https://www.coursera.org/specializations/investment-portolio-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[10.5,26.6]","NA","English","business","finance","4FUch7u_EeW6QBIGzzljVw"]
["Business Psychology","Behavioral Economics","Behavioral Investing","Indian School of Business","Intermediate",9.2,4.46,"https://www.coursera.org/learn/behavioral-investing","Through this course, you will learn how individuals and firms make financial decisions, and how those decisions might deviate from those predicted by traditional financial or economic theory. \\n\\nWe will explore the nature of these biases and their origins, using insights from psychology, neurosciences and experimental economics on how the human mind works. From these biases, you will be able to examine how the insights of behavioral finance complement the traditional finance paradigm. We also look at the micro and macro biases. Finally, we will explore how these insights describe more complicated topics such as fat tail events and financial crises.","finance; behavioral-economics; modeling; investment; behavioral-finance; psychographic; bias; financial-markets; cognitive-bias; integration-testing","Financial Markets and Investment Strategy",3.0,"https://www.coursera.org/specializations/investment-strategy","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[5.5,11.5]","NA","English","business","finance","R9bQ2bU2EeWhzw6RmNsYkQ"]
["Business Psychology","Behavioral Economics","Behavioral Finance","Duke University","Intermediate",8.5,4.29,"https://www.coursera.org/learn/duke-behavioral-finance","We make thousands of decisions every day. Do I cross the road now, or wait for the oncoming truck to pass? Should I eat fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions with almost no thought, using what psychologists call “heuristics” – rules of thumb that enable us to navigate our lives. Without these mental shortcuts, we would be paralyzed by the multitude of daily choices. But in certain circumstances, these shortcuts lead to predictable errors – predictable, that is, if we know what to watch out for. Did you know, for example, that we are naturally biased towards selling investments that are doing well for us, but holding on to those that are doing poorly? Or that we often select sub-optimal insurance payment plans, and routinely purchase insurance that we don’t even need? And why do so many of us fail to enroll in our employer’s corporate retirement plans, even when the employer offers to match our contributions?\\n\\nBehavioral finance is the study of these and dozens of other financial decision-making errors that can be avoided, if we are familiar with the biases that cause them. In this course, we examine these predictable errors, and discover where we are most susceptible to them. This course is intended to guide participants towards better financial choices. Learn how to improve your spending, saving, and investing decisions for the future.","bias; economics; behavioral-economics; decision-making; cognitive-bias; behavioral-finance; psychologies; finance; behavioral-decision; investment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.4,10]","Chinese; Portuguese","English","business","finance","NSxhuc9cEeWczg7kSY_tVQ"]
["Business Psychology","Behavioral Economics","Global Impact: Cultural Psychology","University of Illinois at Urbana-Champaign","Advanced",10.2,4.68,"https://www.coursera.org/learn/cultural-psychology-globalization","Globalization has brought dramatic changes to the marketplace. A proliferation of global brands brings diverse cultures to a consumer population that is also growing culturally diverse. This course enables students to understand how globalization changes consumers at a psychological level, and provides tools for imbuing brands with cultural meanings—creating iconic brands—that can resonate with global consumers. The focus is on understanding that culture exists in the mind (e.g., values and beliefs) as well as in the environment (e.g., objects, brands, and institutions), and that globalization creates multi-cultural spaces in contemporary societies. Consumers can use the cultural meaning of a brand to build their identities (i.e., assimilate the brand cultural symbolism) or reject the brand’s cultural meaning(s) (i.e., exclusionary reactions).\\n\\nThe course will help students identify when assimilation vs. exclusionary reactions are more likely to occur, as well as devise strategies for imbuing brands with cultural meanings that can elevate them to the status of cultural icons. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how globalization impacts the psychological responses of consumers in global markets \\n•\\tUnderstand what culture is and how it manifests itself \\n•\\tUnderstand how brands acquire cultural meanings \\n•\\tPredict consumers’ responses to the cultural meanings in brands \\n•\\tIdentify strategies to win-over multi-cultural consumers in globalized markets \\n•\\tLearn how to build an iconic brand\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","international-finance; acceptance; learning; audit; lecture; market-economics; cultural-psychology; brand; psychology; multiculturalism","Global Challenges in Business",5.0,"https://www.coursera.org/specializations/global-challenges-business","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[5.5,11.2]","NA","English","business","business-essentials","4nKsdN83Eea3uhKgRSNY-g"]
["Business Psychology","Marketing Psychology","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Business Psychology","Marketing Psychology","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Business Psychology","Marketing Psychology","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Business Psychology","Marketing Psychology","Leadership Through Marketing","Northwestern University","Beginner",11.5,4.51,"https://www.coursera.org/learn/leadership-marketing","The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers. In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.","management; critical-thinking; integration-testing; data-analysis; marketing; market-economics; customer; analysis; analytics; leadership","Organizational Leadership",4.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[7.6,13.8]","NA","English","business","leadership-and-management","VlLC102NEeWEHRLwpfV5DQ"]
["Business Psychology","Marketing Psychology","Selling to Chinese Consumers","The Chinese University of Hong Kong","Intermediate",16.6,4.47,"https://www.coursera.org/learn/selling-to-chinese-consumers","This course is designed to help learners sell their products, goods and services to Chinese consumers. To achieve this goal, the course will use evidence-based research in psychology, economics, legal studies and marketing to help learners understand the historical, economic and legal contexts of doing business in China and the behavioral characteristics of Chinese consumers. The course will cover topics in Chinese and global marketing, Chinese consumers, institutional and cultural influence on consumer motivation and behaviors in Chinese markets, and brand management in China.","marketing; market-economics; brand-marketing; customer-relationship-management; conspicuous-consumption; management; sales; product-business; brand; integration-testing","Doing Business in China",1.0,"https://www.coursera.org/specializations/doing-business-in-china","Participants will know how Chinese entrepreneurs, consumers and employees think and act, and be able to generate consumer and business insights for doing business in China. Through the use of well-designed business cases, participants will be able to apply this knowledge when they start or manage a business organization in China. Participants will be able to identify business opportunities and challenges based on nuanced understanding of the socio-political, economic, cultural, and technological environments in China, and leverage on their consumer and business insights to develop and implement culturally informed strategic plans.","[10.2,23.6]","NA","English","business","business-strategy","sN_mwkvGEeaovA5yk1oeyQ"]
["Business Psychology","Organizational Development","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Business Psychology","Organizational Development","Unethical Decision Making in Organizations","University of Lausanne","Intermediate",14.2,4.83,"https://www.coursera.org/learn/unethical-decision-making","This course 'Unethical decision making in organizations : A seminar on the dark side of the force' will teach you how strong organizational contexts push good people towards unethical decisions. You will also learn how to protect yourself and your organization against such forces lurking in the dark.\\n\\nAbout the Course\\n\\nThis course teaches how narrow frames and strong contexts can push good people towards unethical decisions and how they can protect themselves and their organization against ethical blindness.\\n\\nThe goal of this course is to empower the participants to analyze the risks of unethical or illegal behavior that might be triggered by powerful contexts. It draws from various disciplines such as management, psychology, sociology, philosophy, and literature, in order to learn what these disciplines contribute to a better understanding of unethical behavior. The course also analyzes some of the most prominent organizational scandals of the recent decades through the lenses of these disciplines.\\n\\nWhenever we hear about ethical scandals, we tend to believe that unethical or illegal behaviour in organizations is driven by character deficiencies of individual actors. Put differently, we simply assume that bad things are done by bad people. However, numerous corporate scandals have demonstrated that even people with a high level of integrity can break the rules if they are put into a strong context.\\n\\nA better understanding of why and under what conditions good people make bad ethical decisions will enable us to better protect individuals as well as their respective organizations against the potentially overwhelming power of the context. It will also enable us to cure societies from problems like corruption.\\n\\nAt the end of the course, you are able to:\\n\\n1.    Explain the impact of social context on individual decision making using various theories (from Management, Sociology, Psychology, and Philosophy) \\n2.    Apply these theories to the analysis of some of the most eminent organizational scandals of the recent decades \\n3.    Assess risks of ethical blindness in your own organizational context \\n4.    Design interventions to reduce such risks for yourself and your organization \\n\\n\\nRecommended Background\\n\\nNo background expertise is required. The course is open for interested layperson as well as experts who work on related topics, be it as researchers or practitioners (e.g., compliance managers in corporations).\\n\\nWhy is this course important for me? \\n\\nCurrently, the understanding of why good people make unethical decisions is rather limited, related research is rather fragmented, and the management of such problems in organizations is overly simplistic, legalistic, and inadequate. Understanding contexts, including the dangers of routines, the mindlessness of our daily decisions, and the healing power of mindful decision-making routines is of increasing importance. In this course, you will learn the latest knowledge and the appropriate tool box for dealing with ethical challenges that you will face throughout your life!\\n\\nWhat do I need to follow this course? \\n\\nWe build bridges between various scientific disciplines and will familiarize you with those disciplines smoothly. You need no expertise, just come and share your own real-world experiences about unethical decisions. After all, we are all experts in making decisions—some more ethically, some less ethically—aren’t we?","integration-testing; decision-making; psychologies; mindfulness; utility; awareness; psychology; prevention; thought; ethics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,17.6]","German","English","life-sciences","psychology","A9Yb1uFoEeWLHw5Kc9wFbw"]
["Business Psychology","Organizational Development","International Organizations Management","University of Geneva","Beginner",19.3,4.79,"https://www.coursera.org/learn/international-organizations-management","This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today. It will introduce you to effective, state-of-the art management tools and principles to help you lead change in this world – taught by senior staff of international organizations themselves. \\n\\nThis is an introductory course offered by the International Organizations MBA (IO-MBA) of the University of Geneva, an executive program for change-makers in international organizations, NGOs and social ventures.","fundraising; collaborative-partnerships; management; marketing; leadership; marketing-communications; collaboration; communication; partnership; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.6]","NA","English","business","leadership-and-management","kw2eEcR8EeWUVgrPm5MRqw"]
["Business Psychology","Organizational Development","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Business Psychology","Organizational Development","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","cross-cultural-communication; leadership; conflict-resolution; communication; organizational-conflict; intercultural-communication; social-network; leadership-development; management; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,20.7]","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["Business Psychology","Organizational Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Business Psychology","Organizational Development","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Business Psychology","Organizational Development","Designing the Organization","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.55,"https://www.coursera.org/learn/designing-organization","Organizations are complex and can be difficult to manage well.  So managers need tools to help them better understand and deal with the many complexities and challenges associated with organizational life.  In this course, you will learn theories, principles, and frameworks that will help you to design more effective organizations.  We will view organizations from different perspectives that we will use as lenses to help us bring common organizational challenges, and solutions to those challenges, into focus.  Some of these common challenges include clarifying the organization’s purpose, setting up effective governance systems, measuring organizational effectiveness, choosing an appropriate organizational structure, dealing with growing pains, and responding to changes outside the organization.  As you learn and apply the principles from this course, you will be better prepared to effectively navigate the challenges that you face in your own organization.","business-model; organizational-structure; organization-design; organizational-theory; strategic-management; corporate-bond; management; analysis; leadership; modeling","Strategic Leadership and Management",3.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.1,19.5]","NA","English","business","leadership-and-management","yEfdpZz9EeWlGQ5Xb9b0kw"]
["Business Psychology","Organizational Development","Strategic Organization Design","Ludwig-Maximilians-Universität München (LMU)","Intermediate",15.5,4.54,"https://www.coursera.org/learn/organization-design","Strategic Organization Design will introduce new topics and modules with even more real world examples and opportunities for student interaction than its predecessors Competitive Strategy (https://www.coursera.org/learn/competitive-strategy) and Advanced Competitive Strategy (https://www.coursera.org/learn/advanced-competitive-strategy).\\n\\nThe final course in the Competitive Strategy and Organization Design specialization covers the internal workings of an organization and its interactions with the outside world. Where the first two courses mainly covered the way firms interact with the outside world, in particular competitors and complementors, the third course looks at the way a firm’s organization should be designed to compete effectively.","strategic-planning; management; business-strategy; performance; program-management; organizational-structure; strategic-management; planning; organization-design; corporate-bond","Competitive Strategy and Organization Design",3.0,"https://www.coursera.org/specializations/competitive-strategy","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[5.9,26.6]","NA","English","business","business-strategy","VncqK1pcEeaf-Qp81ahtrQ"]
["Business Psychology","People Development","Introduction to Self-Determination Theory: An approach to motivation, development and wellness","University of Rochester","Intermediate",13.4,4.91,"https://www.coursera.org/learn/self-determination-theory","Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. \\n\\nIn this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.","self-determination-theory; psychotherapy; attention-deficit-hyperactivity-disorder; addiction; personal-development; spatial-data-transfer-standard; relationship-counseling; psychology; motivation; coaching","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.3,19]","NA","English","life-sciences","psychology","vQs6P8eLEea_mxKQvxD5nA"]
["Business Psychology","People Development","Organisational behaviour: Know your people","Macquarie University","Advanced",16.4,4.81,"https://www.coursera.org/learn/organisational-behaviour-know-your-people","Organisations have changed and now, more than ever, personnel management is crucial to organisational success. In this course you’ll explore a range of concepts, theories and methodologies that will help you navigate and optimise your work environment. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will be exposed to the latest best-practice leadership strategies to enable your employees to achieve more at work. You’ll examine case studies on advanced leadership strategies and be challenged to consider how these might apply to your own workplace. And you’ll discover that your ability to manage and lead people in a flatter, more team-driven context is now the key to organisational success. As the world continues to undergo dynamic change, this course will prepare you to be the one to lead your team and your organisation into the dynamic work environments of tomorrow.","psychologies; methodology; human-resource-management; organizational-psychology; team-management; psychology; leadership; human-resources; organizational-behavior; management","Leading: Human Resource Management and Leadership",2.0,"https://www.coursera.org/specializations/hr-management-leadership","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[7.7,21.8]","NA","English","business","leadership-and-management","CiDlvXpfEeiZNArkNJmR5g"]
["Business Psychology","People Development","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Business Psychology","People Development","Conversations That Inspire: Coaching Learning, Leadership and Change","Case Western Reserve University","Advanced",16.5,4.72,"https://www.coursera.org/learn/leadership-coaching","Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.","leadership; life-coaching; life-coaches; active-listening; change-management; listening; compassion; emotional-intelligence; management; coaching","Inspired Leadership",3.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[10.9,20.4]","Spanish","English","business","leadership-and-management","yBXw74emEeWRYRLoE9jCoQ"]
["Business Psychology","People Development","Critical Perspectives on Management","IE Business School","Intermediate",17.8,4.72,"https://www.coursera.org/learn/critical-management","This course is designed for students of all backgrounds who have an interest in how firms are governed, the forces that have helped define modern management practice, and the outcomes of that practice not only for the firm itself, but also for the societies in which they operate. For students who are thinking of a career in management, it may also prove useful as a basic introduction to some of the conceptual vocabulary and ideas behind modern theories of management. \\n\\nUsing a wide disciplinary approach - from economics and history to social theory and even a smattering of biblical criticism - the course will invite students to consider several core management strategies and priorities from often unexpected perspectives in order to judge their success or failure. The key objective of the course is to bring into critical focus how we think about the function and culture of management, how managers understand their role within a firm, how they take decisions, set priorities and benchmark success and failure. \\n\\nTopics include: the function of the firm; the role of incentive; the ways in which narrative forces shape decision making, and how market relationships define the managerial culture in ways that can lead to sub-optimal outcomes.","critical-thinking; analysis; corporate-governance; corporate-bond; strategic-management; information-technology-management; market-economics; management; innovation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.6,24.4]","Afrikaans","English","business","leadership-and-management","BkWivH6zEeSXPiIACxeBkA"]
["Business Psychology","People Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Business Psychology","People Development","Coaching Conversations","University of California, Davis","Beginner",13.2,4.6,"https://www.coursera.org/learn/coaching-conversations","Throughout the Coaching Skills for Managers specialization, we’ve discussed many topics for improving coaching conversations with our employees. It is now time to put all of that theory and discussion into practice and examine great examples of common coaching conversations!\\n\\nNote: This course builds on all previous courses in the Coaching Skills for Managers specialization. It is highly recommended that students complete or be familiar with the topics covered in those courses before taking this course. In particular, you should be familiar with the coaching strategies and tools discussed in previous courses (such as the 5 whys technique, resisting what is, among others), and should have a full understanding of the Thought model and the various components of it: circumstances, thoughts, feelings, actions, and results.\\n\\nBy the end of this course, you will be able to demonstrate appropriate and effective strategies when engaging in coaching conversations with those that you lead. By exploring and analyzing common coaching scenarios that are acted out in this course, you will have a great sense of what works well and not so well during such a conversation. Specifically, you'll be able to better differentiate between a developmental coaching approach and a directive management style, discuss new strategies and techniques for dealing with both mind set and skill set gaps, describe how to use the feedback loop effectively in a conversation, and demonstrate the use of good questioning techniques and the thought model to not only help an employee identify issues, but help the employee really change their thinking.\\n\\nThe final assignment is all about actually having a coaching conversation with another person where you can apply everything you've learned in this course and throughout the Coaching Skills for Managers specialization. Again, it is highly recommended students complete the other courses in the specialization before taking this one. This peer review assignment, in particular, will be difficult to complete without knowledge of the topics covered in these courses.\\n\\nAfter going through the course materials and completing the assessments, you will be able to have more effective one-on one-coaching meetings with those you manage and deepen your understanding of the essential practice of coaching conversations.","management; life-coaching; thought; personal-development; employment; hold; performance; modeling; planning; coaching","Coaching Skills for Managers",4.0,"https://www.coursera.org/specializations/coaching-skills-manager","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[7,14.7]","Arabic","English","business","leadership-and-management","ISGr03Q9EeWLqw7zlLhRzQ"]
["Business Psychology","People Development","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Business Psychology","People Development","Intercultural Management","ESCP Business School","Beginner",13.6,4.39,"https://www.coursera.org/learn/intercultural","This MOOC explores different aspects of intercultural management, including teams, leadership, Human Resource Management, marketing and negotiations. When you complete this MOOC, you will have a richer understanding of the concept of culture, and how culture influences the way that individuals behave. \\n\\nYou will also get a deeper knowledge about how culture shapes management practices in international organizations. We will introduce you to a number of experts in the field of intercultural management who will discuss the challenges and the benefits of dealing with employees on a global level. \\n\\nMoreover, we will share with you insights from our own research to illustrate recent developments in the field of intercultural management. During the MOOC we will provide you with a variety of concepts and tools that empower you to successfully interact with people from other cultures to achieve your desired personal and business-related goals.\\n\\nPlease have a look at the teaser available at :  https://www.youtube.com/watch?v=LVze_O6vjKI","negotiation; intercultural-competence; cross-cultural-communication; intercultural-communication; marketing; global-marketing; human-resource-management; human-resources; communication; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,19.5]","NA","English","business","leadership-and-management","e74M7ThfEeaceBK_gzS6ow"]
["Business Psychology","Personal Development","Professionalism in an era of change","Utrecht University","Intermediate",14.8,5.0,"https://www.coursera.org/learn/professionalism-in-an-era-of-change","In this course we aim to provide you with an insight into how recent societal and technological developments have changed the work of professionals in a variety of professional domains and how this in turn affects professionalism. The course highlights core themes, discusses main insights and theories, raises questions and presents cases, and links insights to practical challenges in various professional domains. It provides a state of the art assessment of professionalism in transition, by looking back and looking forward. It supports target audiences in dealing with professional services and professionals.  \\n\\nThe programme has an interdisciplinary approach and will focus on different levels:\\nAt macro level the course presents a historical and sociological view on past and future changes in professions, focused on: \\n•\\thow do professional fields develop?\\n•\\thow is professionalism promoted and encouraged among professionals?\\n•\\thow do professional fields control and empower their members?\\n\\nAt meso level the course presents an organisational view on changes within professional partnerships and institutions, focused on the following questions:\\n•\\thow do norms and routines affect professionals and professional work?\\n•\\thow do professionals organise and lead professional work?\\n\\nAt micro level a psychological perspective on changing work and a changing work environment of professionals is presented. This part focuses on the following questions:\\n•\\thow do professionals deal with work pressure and remain motivated?\\n•\\twhich competencies do professionals require to be able and capable to deliver?\\n\\nWe invite you to join us and increase your understanding of the topics addressed in this course through lectures, interviews, animations, readings and peer interaction.","psychology; organizing-management; empowerment; lifelong-learning; professional; organizational-psychology; quality-control; market-economics; sociology; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,18.1]","NA","English","personal-development","personal-development","0jk2ODDsEeiGpQoF2nM0eA"]
["Business Psychology","Personal Development","Grow Your Business with Goldman Sachs 10,000 Women","Goldman Sachs","Beginner",4.9,4.87,"https://www.coursera.org/learn/gs10kw","Welcome to Grow Your Business with Goldman Sachs 10,000 Women.\\n\\nGoldman Sachs 10,000 Women is a global initiative that fosters economic growth by providing women business owners around the world with business and management education, mentoring and networking, and access to capital.\\n\\nThis introductory business course has been developed from the face-to-face program which has enabled over 10,000 women to see immediate and sustained business growth. It is designed for women business owners, running established businesses operating for more than one year, to provide the practical tools and skills required to help you grow your business. The course will enable you to develop your understanding of the three key ingredients of growth potential: you, your business, and your opportunity. \\n\\nThrough focused and tailored exercises, you will assess the strengths and weaknesses of your business and yourself as a business leader. You will also identify and refine your key opportunities for business growth. As you complete the course, you will be connecting with like-minded business owners from around the world. The course will provide you with a unique forum to share your experiences, and provide support and advice to others. \\n\\nWhat can you do after this introductory course?\\n\\nOnce you finish this introductory course, you will have the opportunity to continue your learning journey with 10,000 Women through a further 10 weeks of online learning.\\n\\nThe innovative 10-week course covers a full range of business topics from your leadership style and management structure to resource allocation and operational efficiency. You will build on what you learn in the introductory course and analyze the growth of your business further through the creation of a Business Growth Plan (BGP). The BGP is a strategic and tactical implementation tool designed to guide your business’s growth and help you to communicate your opportunity, vision, and ideas to your team, stakeholders, and customers.\\n\\nUpon successfully completing the two courses, you will be able to join the 10,000 Women alumni community and connect with a global network of past participants.","plan; decision-making; strategic-thinking; business-strategy; business-analysis; business-analytics; confidence; management; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.1,6.5]","Chinese","English","business","entrepreneurship","UDOU-36EEeebcBJbr9YsJg"]
["Business Psychology","Personal Development","Think Again III: How to Reason Inductively","Duke University","Intermediate",14.0,4.85,"https://www.coursera.org/learn/inductive-reasoning","How to Reason Inductively\\n\\nThink Again: How to Reason and Argue\\nReasoning is important. This series of four short courses will teach you how to do it well. You will learn simple but vital rules to follow in thinking about any topic at all and common and tempting mistakes to avoid in reasoning. We will discuss how to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and teachers) and how to construct arguments of your own in order to help you decide what to believe or what to do. These skills will be useful in dealing with whatever matters most to you.\\n\\nCourses at a Glance:\\nAll four courses in this series are offered through sessions which run every four weeks. We suggest sticking to the weekly schedule to the best of your ability. If for whatever reason you fall behind, feel free to re-enroll in the next session.We also suggest that you start each course close to the beginning of a month in order to increase the number of peers in the discussion forums who are working on the same material as you are. While each course can be taken independently, we suggest you take the four courses in order.\\n\\nCourse 1 - Think Again I: How to Understand Arguments\\nCourse 2 - Think Again II: How to Reason Deductively\\nCourse 3 - Think Again III: How to Reason Inductively\\nCourse 4 - Think Again IV: How to Avoid Fallacies\\n\\nAbout This Course in the Series:\\nThink Again: How to Reason Inductively \\nWant to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn what distinguishes inductive arguments from deductive arguments and then how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how probability can be used to help us make decisions of all sorts.\\n\\nSuggested Readings\\nStudents who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 8-12, by Walter Sinnott-Armstrong and Robert Fogelin.\\n\\nCourse Format\\nEach week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.","probability; learning; abductive-reasoning; thought; evaluation; diminished-value; inductive-reasoning; philosophy; problem-solving; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.4,16.6]","Spanish; Arabic; Portuguese; Chinese","English","personal-development","personal-development","q3r0bBbMEeafcQ6IJeJ6Vw"]
["Business Psychology","Personal Development","Social Psychology","Wesleyan University","Advanced",38.6,4.85,"https://www.coursera.org/learn/social-psychology","Ever wonder why people do what they do? This course—which includes more than $1,000 of video and reading materials—offers some answers based on the latest research from social psychology. Students taking the course for a Certificate will also receive free membership in Social Psychology Network (SocialPsychology.org).\\n\\nCOURSE DESCRIPTION FROM PROFESSOR PLOUS:\\n\\nEach of us is dealt a different hand in life, but we all face similar questions when it comes to human behavior: What leads us to like one person and dislike another? How do conflicts and prejudices develop, and how can they be reduced? Can psychological research help protect the environment, and if so, how? This course offers a brief introduction to classic and contemporary social psychology, covering topics such as decision making, persuasion, group behavior, personal attraction, and factors that promote health and well-being.\\n\\nOur focus will be on surprising, entertaining, and intriguing research findings that are easy to apply in daily life. The course will also draw from the websites of Social Psychology Network, the world's largest online community devoted to social psychology. I hope you'll join me for this course, have fun, and learn some useful information that enriches your life.","behavior; compassion; empathy; psychology; human-behavior; social-psychology; social-skills; psychologies; communication; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[26.8,43.3]","Chinese; Spanish","English","life-sciences","psychology","qLwmkiOZEeadsBKew8xmjQ"]
["Business Psychology","Personal Development","The Science of Well-Being","Yale University","Advanced",19.3,4.81,"https://www.coursera.org/learn/the-science-of-well-being","In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.\\n\\nTHE SCIENCE OF WELL BEING WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.","gratitude; meditation; mindfulness; kindness; psychologies; savoring; psychology; positive-psychology; happiness; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,24.1]","Spanish","English","personal-development","personal-development","rUHfSakHEeeQ3gpuC4Fs_g"]
["Business Psychology","Personal Development","Learning How to Learn: Powerful mental tools to help you master tough subjects","University of California San Diego","Beginner",11.8,4.8,"https://www.coursera.org/learn/learning-how-to-learn","This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.  \\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nThis course can be taken independent of, concurrent with, or prior to, its companion course, Mindshift. (Learning How to Learn is more learning focused, and Mindshift is more career focused.)\\n\\nTo join the fully translated Portuguese version of the course, visit: https://www.coursera.org/learn/aprender\\nTo join the fully translated Spanish version of the course, visit: https://www.coursera.org/learn/aprendiendo-a-aprender\\nTo join the fully translated Chinese version of the course, visit: https://www.coursera.org/learn/ruhe-xuexi\\nTo join the fully translated French version of the course, visit : http://www.coursera/learn/apprendre-comment-apprendre","stress; learning-how-to-learn; learning-to-learn; memory; procrastination; integration-testing; pomodoro-technique; test-preparation; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,13.7]","Chinese; Greek; French; Bengali; Ukrainian; Hungarian; Serbian; Italian; Vietnamese; Russian; Portuguese; Persian; Hebrew; Arabic; Spanish; Thai; Estonian; Romanian; Tamil; Polish; Dutch; German","English","personal-development","personal-development","GdeNrll1EeSROyIACtiVvg"]
["Business Psychology","Personal Development","De-Mystifying Mindfulness","Universiteit Leiden","Intermediate",30.3,4.79,"https://www.coursera.org/learn/mindfulness","Interest in meditation, mindfulness, and contemplation has grown exponentially in recent years.  Rather than being seen as mystical practices from ancient Buddhism or esoteric philosophy, they are increasingly seen as technologies rooted in evidence from psychology and neuroscience.  Mindfulness has become the basis for numerous therapeutic interventions, both as a treatment in healthcare and as a means of enhancing well-being and happiness.  For millions around the world, mindfulness has become a life-style choice, enhancing and enriching everyday experience. Mindfulness is big business.\\n\\nBut, what actually is mindfulness?  Is it really good for you?  Can anyone learn it?  How can you recognize charlatans? Would you want to live in a mindful society, and would it smell like sandalwood?  What does it feel like to be mindful?  Are you mindful already, and how would you know?\\n\\nEvolving from the popular Honours Academy course at Leiden University, this innovative course combines conventional scholarly inquiry from multiple disciplines (ranging from psychology, through philosophy, to politics) with experiential learning (including specially designed ‘meditation labs,’ in which you’ll get chance to practice and analyze mindfulness on yourself).  In the end, the course aims to provide a responsible, comprehensive, and inclusive education about (and in) mindfulness as a contemporary phenomenon.\\n\\nDuring the production of this course, we have been supported by Willem Kuyken, Director of the University of Oxford Mindfulness Centre, and Stephen Batchelor, co-founder of Bodhi College.  And we gratefully acknowledge the contributions made by Mark Williams, co-developer of Mindfulness-based Cognitive Therapy (MBCT), and Rebecca Crane, Director of the Centre for Mindfulness Research and Practice at the University of Bangor.\\n\\n\"The course enabled me to explore the mindfulness construct at its deeper lever from philosophical, psychological and political lenses. The mindfulness labs were very useful in practicing the skills of being mindful.\" 23 nov 2018\\n\\n\"i took this course after a period of time when I was trying to practice mindfulness and meditation, but with doubtful success. The course answered many questions to me, and I needed that to keep me motivated. It really helped me understand the origins and, more importantly, benefits of mindfulness practice and made me persist in my attempts. I'm really glad I took the course, I find it interesting, well taught and very useful for all those seeking deeper explanation in why trying mindfulness.\" 9 Oct 2018\\n\\n\"I have taken other courses in other online platforms. However, this has been one of the best courses I have found online.\" 3 Oct 2018\\n\\n\"I really like the invitation to us, the learners, to rethink our preconceptions and beliefs, and then make our own judgement about mindfulness. The overall tone was very friendly and open, resources very useful.\" 12 Dec 2017","mindfulness; confidence; learning; calmness; compassion; meditation; philosophy; gratitude; kindness; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[19.3,34.8]","NA","English","personal-development","personal-development","1_0XfstIEeWRERK7eSqctw"]
["Business Psychology","Personal Development","A Life of Happiness and Fulfillment","Indian School of Business","Intermediate",32.1,4.77,"https://www.coursera.org/learn/happiness","What are the determinants of a happy and fulfilling life?\\n\\nThis is surely one of life’s biggest questions, and a question that has interested many of our ancestors. Buddha famously gave up his kingdom in search of happiness. Several Greek philosophers (from Aristotle to Epicurus and Plato to Socrates) had their own views on what it takes to be happy. And of course, we all have our own theories about happiness too.\\n\\nHow valid are our theories?\\n\\nUntil recently, if you wished for an answer to this question, you would've been forced to base it on discussions with spiritual leaders. Or, if you were lucky, you could've based it on late-night (and perhaps intoxicant-fueled) conversations with friends and family. Happily, all that has changed now. Over the past decade-and-a-half, scientists have gotten into the act big time. We now have a pretty good idea of what it takes to lead a happy and fulfilling life.\\n\\nThis course, based on the award-winning class offered both at the Indian School of Business and at the McCombs School of Business at The University of Texas at Austin, developed by Prof. Raj Raghunathan (aka \"Dr. Happy-smarts\") draws content from a variety of fields, including psychology, neuroscience, and behavioral decision theory to offer a tested and practical recipe for leading a life of happiness and fulfillment. \\n\\nAlthough not mandatory, reading Prof. Raj's forthcoming book, titled If you're so smart, why aren't you happy? can help you review and assimilate the material covered in this book at your leisure. \\n\\nFor Coursera learners alone, the hardcover version of the book is available for a deep discount of 50%, plus shipping and handling. You can order the hardcover for 50% off by writing to Aaron at: Aaron@800ceoread.com. Please mention that you are a student of the \"coursera happiness course\" in your email. \\n\\nThe course will feature guest appearances by several well-known thought leaders, including:\\n      - Dan Ariely (author of Predictably Irrational and, soon to be released, Irrationally Yours),\\n      - Ed Diener (“Dr. Happiness”),\\n      - Mihaly Csikszentmihalyi (author of Flow),\\n\\nBy taking this course, you will discover the answers to questions such as:\\n      - Why aren’t the smart-and-the-successful as happy as they could—or should—be\\n      - What are the “7 Deadly Happiness Sins” that even the smart and the successful commit?, and\\n      - What are the “7 Habits of the Highly Happy” and how can you implement them in your life?\\n\\nBy the end of the course, I expect students who have been diligent with the lectures and exercises to not just gain a deeper understanding of the science of happiness, but to also be significantly happier.","internality; meditation; internal-control; null-character; mindfulness; psychology; gratitude; flow-network; integration-testing; happiness","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.9,39.9]","Chinese; Spanish; Russian; Portuguese; Vietnamese","English","life-sciences","psychology","QEXoJRBmEeWhsgqB1eduww"]
["Business Psychology","Personal Development","Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential","McMaster University","Beginner",13.8,4.75,"https://www.coursera.org/learn/mindshift","Mindshift is designed to help boost your career and life in today’s fast-paced learning environment. Whatever your age or stage, Mindshift teaches you essentials such as how to get the most out of online learning and MOOCs, how to seek out and work with mentors, the secrets to avoiding career ruts (and catastrophes) and general ruts in life, and insights such as the value of selective ignorance over general competence.  We’ll provide practical insights from science about how to learn and change effectively even in maturity, and we’ll build on what you already know to take your life’s learning in fantastic new directions.  This course is designed to show you how to look at what you’re learning, and your place in what’s unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You’ll see that by using certain mental tools and insights, you can learn and do more—far more—than you might have ever dreamed!\\n\\nThis course can be taken independent of, concurrent with, or subsequent to, its companion course, Learning How to Learn.  (Mindshift is more career focused, and Learning How to Learn is more learning focused.)","lifelong-learning; personal-development; confidence; learning-to-learn; career; meditation; pomodoro-technique; mindfulness; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.9]","Spanish; Vietnamese","English","personal-development","personal-development","XDJWC7ZqEeaa7BLnmaLUtg"]
["Business Psychology","Personal Development","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Business Psychology","Personal Development","Converting Challenges into Opportunities","University of California San Diego","Beginner",11.7,4.61,"https://www.coursera.org/learn/converting-challenges-into-opportunities","In a very competitive workplace, demonstrating your ability to turn challenges into opportunities is an important to way stand out to hiring managers and to your existing management/leadership.    In this course, you will learn how to utilize the knowledge and skills needed to leverage left- and right-brain thinking, analyze problems, spur creativity, and implement innovative ideas for your workplace. Using the power of design thinking and Creative Problem Solving models you will work toward data-driven solutions to workplace challenges.  You will engage in an active process of identifying/defining a specific challenge,  generating  a plan to address the challenge, collecting and analyzing data/information in order to sell your solution to your leadership, implementing your data-driven solution, and evaluating success of the solution.\\n\\nCourse Outcomes: \\n1. Understand  Design, out-of-the box, whole brain thinking, Your workplace strengths\\n2. Apply  Qualitative and scientific research method for workplace problems, Setting priorities and analyzing for outcomes\\n3. Apply  Creative problem solving and creative thinking, using creative techniques to overcome challenges and bring about innovation\\n4. Create  Action plan, Learn to implement innovative ideas and present ideas","report-writing; asset-management; competitiveness; organizing-management; systems-thinking; systematics; research-methods; assertiveness; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,12.2]","NA","English","personal-development","personal-development","Rffm1fMBEeaZlBJdntSH8A"]
["Business Psychology","Personal Development","Successful Career Development","University System of Georgia","Beginner",12.4,4.56,"https://www.coursera.org/learn/career-advancement","No matter the professional level, we can all benefit from learning how to succeed in our careers. Whether a well-seasoned professional, a management trainee, or a service level employee, this course will help you enrich your career by honing your professional behavior and networking. \\n\\nThrough industry expert support and resources, this course is designed to prepare you for success in any chosen career. You will develop the habits and attitudes you need to perform effectively in the job market. You will identify a mentor to add value to your career.  You will analyze your relationships and develop a practical approach for engaging your LinkedIn network. You will differentiate between networking and networking with intention. You will also discover the most effective ways to ask for help from your peer or professional group. Finally, you will evaluate the best methods of adjusting your career path at various stages of life.","linkedin; personal-advertisement; career; career-development; planning; professional; mentorship; personal-development; communication; personality-development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.3,17]","NA","English","personal-development","personal-development","Akz7SBbAEeaXaw7Yj6TwHQ"]
["Business Psychology","Personal Development","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Business Psychology","Training and Culture","Giving Helpful Feedback","University of Colorado Boulder","Beginner",9.3,4.71,"https://www.coursera.org/learn/feedback","This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork.\\n\\nGiving feedback is a skill which develops over time. We give you a process you can use to improve your feedback skills and deliver it with confidence. You will find that there is a scientific basis for many of your observations and intuitions about feedback—such as, it is hard to give correctly, people don’t like it, and more. This will be reassuring as you learn how to overcome these difficulties. We hope you have a fantastic time becoming a better manager!","leadership; professional; building-relationships; performance; integration-testing; management; communication; performance-management; coaching; staff-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,12.3]","German; French; Spanish; Italian; Arabic","English","business","business-essentials","HUJ11BnoEeWg_RJGAuFGjw"]
["Business Psychology","Training and Culture","Women in Leadership: Inspiring Positive Change","Case Western Reserve University","Advanced",13.9,4.67,"https://www.coursera.org/learn/women-in-leadership","This course aims to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes---to lead change with more conviction and confidence---and improve our workplaces and communities for all. By offering more complex understandings of issues related to professional women and work, the course will help you increase self-knowledge about your own values and vision, as well as enhance your capabilities as a leader, manager, and team contributor. We will examine the opportunities, challenges, trade-offs, and organizational dynamics experienced by women in work organizations, as well as reflect on and practice effective individual behaviors.\\n\\nThe course aims at answering questions such as: What are the valued attributes and behaviors of women in the workplace? How does the gendered nature of organizations impact women? What derails our career advancement and what propels us upward? What are your leadership goals and aspirations? How can you best integrate your multiple family and work life commitments? How do you define career success? What can organizations do to provide women with opportunities to excel? What opportunities could our global economy harness by advancing women to leadership? How can the full talents of the workforce be tapped into and developed?\\n\\nThe course is about leadership and inspiring change, but at its core it is meant to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes, to lead change with more conviction and confidence, and improve our workplaces and communities for all. Your involvement in the course activities is essential to help you learn these concepts and develop the necessary skills to implement them. If you watch the videos and read the required articles you will be introduced to some intriguing ideas. If you do the personal reflective exercises and complete the final project you will convert those ideas into relevant experiences to enhance your life and work. Going beyond your personal relevance, your potential learning will expand to understanding and working with others more effectively through either the Discussion Forums in the course or through face-to-face discussions (some of you are taking the course in groups). Each week, we will post reminders, changes, and other relevant announcements.","leadership-development; assertiveness; leadership; confidence; resource; self-confidence; communication; negotiation; integration-testing; management","Inspired Leadership",2.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[7.7,18.6]","German; Portuguese; Chinese; Arabic","English","business","leadership-and-management","7y_BGIbyEeWgjA5cAvYgmw"]
["Business Psychology","Training and Culture","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Business Psychology","Training and Culture","Managing as a Coach","University of California, Davis","Beginner",10.0,4.65,"https://www.coursera.org/learn/managing-as-a-coach","Do you (or do you want to) manage employees? Have you ever wondered how to get better performance out of those you manage? Are you unsure if you are communicating effectively with your employees? If you answered “yes” to any of these questions, then this course – and its associated specialization – is for you!\\n\\nLeadership and management responsibilities have changed dramatically, particularly in the last decade. In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching has become essential. \\n\\nIn this course, you will learn what coaching is and learn how to differentiate between it and all of the other myriad roles managers are expected to perform – managing, mentoring, leading, and training. You’ll learn about the importance of strong leadership and learn to describe your current point of view as a leader, and evaluate when to adjust your thinking in order to be more effective in managing and leading in a rapidly evolving workplace.\\n\\nAnd finally, you’ll be introduced to the Thought Model, a coaching technique you can use to develop better thinkers and better performers. So if you’re ready to learn all about how to be a more effective and valued manager using coaching techniques, join us as we explore more successful managing through coaching!","communication; thought; leadership; mentorship; management-styles; active-listening; modeling; management; integration-testing; coaching","Coaching Skills for Managers",1.0,"https://www.coursera.org/specializations/coaching-skills-manager","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[6.5,14.4]","Vietnamese; Arabic","English","business","leadership-and-management","wnxlH3Q8EeWLqw7zlLhRzQ"]
["Business Psychology","Training and Culture","Sales Training: Techniques for a Human-Centric Sales Process","HubSpot Academy","Beginner",10.6,4.58,"https://www.coursera.org/learn/sales-process-techniques-training","This course will teach you an inbound approach to sales that focuses on being helpful, not salesy. By the end of this course, you'll be able to prospect for new business, qualify for high-quality prospects, book meetings with decision makers, handle buyer's objections, and negotiate and close a deal. By following this process, you'll be able to jumpstart your career in sales with tactical tips and advice to run an effective sales playbook.\\n\\nFree accounts you'll need to go through this course:\\n- HubSpot Academy: https://hubs.ly/H0dM-NY0\\n- LinkedIn: https://linkedin.com\\n- Gmail: https://google.com/mail/\\n- About.me: https://about.me/","negotiation; prospecting; planning; sales-strategy; customer; training; communication; sales; meeting; integration-testing","Sales Training for High Performing Teams",2.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[3.9,16]","Romanian; Chinese","English","business","business-essentials","18A7NKrIEee8SA4Rcof82g"]
["Business Psychology","User Experience Design","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","user-research; evaluation; principle; experience; user-experience; usability; heuristic; heuristic-evaluation; experience-design; user-experience-design","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.4,22.4]","NA","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Business Psychology","User Experience Design","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.4,4.74,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience-design; user-experience; java-annotation; map; experience; user-interface; site-map; website-wireframe; websites; experience-design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[14.4,27]","NA","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["Business Psychology","User Experience Design","Introduction to UI Design","University of Minnesota","Beginner",22.9,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","evaluation; user-interface-design; java-annotation; principle; experience; user-interface; usability; interfaces; design-theory; user-experience","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13,35.5]","NA","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["Business Psychology","User Experience Design","Human-Centered Design: an Introduction","University of California San Diego","Beginner",15.8,4.63,"https://www.coursera.org/learn/human-computer-interaction","In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. \\n\\nThis is the first course offered in the interaction design specialization series. Browse through previous capstone projects for some inspiration here: https://medium.com/capstone-projects/capstone-projects-2019-abc67d3f6f26","evaluation; heuristic; rapid-prototyping; interaction; heuristic-evaluation; user-experience; human-computer-interaction; paper-prototyping; interview; storyboarding","Interaction Design",1.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[10.8,18.8]","Portuguese; Russian; Korean; Chinese; Spanish","English","computer-science","design-and-product","DDBg7AlXEeWTSSIAC0MDtg"]
["Business Psychology","User Experience Design","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.7,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience; graphic-design; experience; graphics; java-annotation; interfaces; basic-element; design-pattern; user-interface; user-interface-design","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.5,18]","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Business Psychology","User Experience Design","Design Principles: an Introduction","University of California San Diego","Beginner",15.9,4.58,"https://www.coursera.org/learn/design-principles","What makes an interface intuitive? How can I tell whether one design works better than another? This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn fundamental principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze controlled experiments online. In many cases, we'll use Web design as the anchoring domain. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. When we do so, it will be to support the main goal of this course, which is helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.","user-experience; communication-design; a-b-testing; interfaces; java-annotation; experiment; user-interface; chi-squared-distribution; numerical-integration; software-testing","Interaction Design",2.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[11.6,18.4]","Japanese; Portuguese; Chinese; Turkish; Russian; Spanish","English","computer-science","design-and-product","YcfRNRoCEeW9dA4X94-nLQ"]
["Business Psychology","User Experience Design","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Business Psychology","User Experience Design","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.48,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","java-annotation; usability; paper-prototyping; experience-design; user-experience; interfaces; experience; user-interface; user-research; user-experience-design","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.2,8.1]","French; Spanish; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["Communication Roles","Best Courses","Advertising and Society","Duke University","Intermediate",14.9,4.71,"https://www.coursera.org/learn/role-of-advertising","This course examines the relation of advertising to society, culture, history, and the economy.  Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials.\\n\\nAbout the Course\\n\\nThe course covers a wide range of topics, including the origins of advertising, the creation of ads, the interpretation of ads, the depiction of race, class, gender, and sexuality in advertising, sex and selling, adverting and ethics, and the future of advertising. The lectures will discuss theoretical frameworks and apply them to specific advertisements.\\n\\nCourse Syllabus\\n\\nWeek 1: What is advertising and where did it come from?\\n\\nWeek 2: Am I being manipulated by advertising?\\n\\nWeek 3: What’s in an ad beyond that which meets the eye?\\n\\nWeek 4: How do ads get made?\\n\\nWeek 5: What do ads teach us about race, class, gender, and sexuality?\\n\\nWeek 6: Does sex sell?\\n\\nWeek 7: What is the future of advertising?\\n\\nRecommended Background\\n\\nNo background is required; everyone is welcome!\\n\\nSuggested Readings\\n\\nAlthough the lectures are designed to be self-contained, we recommend that students refer to the free online textbook ADTextOnline.org. Other free resources will be suggested for each week’s module.\\n\\nCourse Format\\n\\nMost videos will be lectures with instructor talking. Each lecture will be illustrated with PowerPoint slides, print advertisements, and TV commercials. The videos for each week will consist of segments that add up to about an hour. Each week will have one quiz that will appear as stand-alone homework. All resources beyond lectures will be available online to students at no charge. Most of these will be from ADTextOnline.org. Others will be visits to the sites of ad agencies in the US and abroad, open access websites that deal with course topics, and open-access journal articles.","target-audience; advertising-strategy; history-of-advertising; propaganda; marketing; history; audience; advertising; integration-testing; advertising-techniques","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,17.3]","Spanish","English","social-sciences","economics","ifD-vNG7EeW_sQqlOUlMew"]
["Communication Roles","Best Courses","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Best Courses","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Communication Roles","Best Courses","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Communication Roles","Best Courses","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Communication Roles","Best Courses","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Communication Roles","Best Courses","Influencer Marketing Strategy","Rutgers the State University of New Jersey","Advanced",25.9,4.41,"https://www.coursera.org/learn/influencer-marketing-strategy","Influencer marketing is the practice of engaging internal and industry experts with active networks to help achieve measurable business goals. \\n\\nThis course is about strategy. Although there is no all-purpose, one-size-fits-all influencer marketing strategy template, you will learn how to tailor one for a wide variety of B2B, B2C, and nonprofit organizations using the two-step flow model of communication.\\n \\nBut this course is also about tactics. I believe, “Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” So, you will learn both in this 6-week long course.\\n\\nYour final project for this course is to create a pitch deck for a social media influencer strategy. The purpose of your final project is to give you a concrete artifact that you can use to demonstrate your mastery of new competencies and skills to either the executives in your current organization or to prospective employers.","brand; marketing-strategy; b2b-marketing; social-media; public-relations; content-marketing; influencer-marketing; marketing; social-media-marketing; marketing-analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17,33.2]","NA","English","business","marketing","Axwi2MCtEeedJRJjt8USWA"]
["Communication Roles","Best Courses","Content Strategy for Professionals: Ensuring Your Content's Impact","Northwestern University","Intermediate",5.6,4.47,"https://www.coursera.org/learn/effective-content-strategy","In the fourth course of the Content Strategy Specialization - Ensuring Your Content's Impact - you will look at visual communication and the ways you can be more effective with your font choices, photography, and video. You'll also dive deeper into social communities to help you understand how these communities form and what you can do to build your role within them. The last module is pivotal for Content Strategists. It will help you to understand how best to measure your content to maximize its effectiveness relative to the time you commit to it.\\n\\nWhile this MOOC does share the theoretical elements of Content Strategy, there is a much greater emphasis on its application. Creating trend-worthy headlines and blogs, social media plans, digital measurement templates, video and photography content are all skills you will have in your toolkit by the end of the MOOC, ready to apply at your organization. And speaking of toolkits, we have included one that you can download and take back to work which includes the practical tips from the learnings in this course as well as the previous one on Expanding Your Content's Reach.\\n\\nGuest lecturers in this course include:\\n-- Zach Wise, Associate Professor, Medill Northwestern\\n-- Rich Gordon, Professor & Director of Digital Innovation, Medill, Northwestern\\n-- Randy Hlavac, Lecturer, Medill, Northwestern (and lead professor of the Social Media Marketing Specialization also on Coursera)","content-strategy; marketing-content-development; analytics; learning; social-media-campaigns; marketing; content-marketing; plan; social-media; communication","Content Strategy for Professionals",4.0,"https://www.coursera.org/specializations/content-strategy","Content Strategy uses credible, trustworthy, transparent media to communicate stories and information to enhance an organization’s strategic goals. In this Specialization, you’ll learn best practices from recognized industry and academic experts on how to create and implement engaging content across media platforms that the people you want to reach will really value.\\n\\nYou’ll learn how to engage your audience by implementing their stories and using proven tools and techniques to enhance an audience’s experience and interests. You’ll manage content once created by learning how best to tell an organization’s “content story” across media platforms using a human-centered design. You’ll also learn actionable ways to grow internal and external audiences, and expand your content’s reach.\\n\\nThe Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses in response to a real challenge facing organizations today.\\n\\nTo fit easily into busy schedules, the Specialization is constructed as four, three-week courses to better fit into any lifestyle. It is a program for you, as a professional, to master and then be able to use what you learn here and take it back to work. It's knowledge that will improve both your effectiveness, and your organization's.\\n\\nEach of the individual courses can be audited for free. Please note that you will not receive a Certificate of Completion if you choose to audit.","[3.7,6.9]","NA","English","business","marketing","X9H10cqoEeWhwwrjksNQhQ"]
["Communication Roles","Best Courses","Advanced Writing","University of California, Irvine","Intermediate",14.6,4.69,"https://www.coursera.org/learn/advanced-writing","Course 3: Advanced Writing\\n\\nThis is the third course in the Academic English: Writing specialization.  By raising your level of academic writing, this course helps prepare you for college-level work.\\n\\nAfter completing this course, you will be able to: \\n - plan and write a more sophisticated argument essay\\n - identify plagiarism and explain how to prevent it\\n - read and analyze several articles to form your own opinion on a topic\\n - make connections between several articles\\n - form thesis statements from your readings\\n - use sources effectively when writing an essay\\n\\nPlease note that the free version of this class gives you access to all of the instructional videos and handouts. The peer feedback and quizzes are only available in the paid version.","creative-writing; english-language; documents; essay-writing; learning; academic-writing; writing; quotation; editing; integration-testing","Academic English: Writing",3.0,"https://www.coursera.org/specializations/academic-english","The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.","[9.3,17.3]","Hindi; Arabic; German; Chinese; Vietnamese; Spanish","English","language-learning","learning-english","5c9BeiTUEeW3AhKilvRZ0Q"]
["Communication Roles","Best Courses","Mediation and Conflict Resolution","ESSEC Business School","Intermediate",14.6,4.56,"https://www.coursera.org/learn/conflict-resolution-mediation","Mediation is a crucial means to reaching peaceful and agreed solutions in today’s world – on an international, political, industrial, peace-keeping or social level. \\n\\nWith the course you will be able to choose and lead a mediation process. You will gain a deeper understanding of workplace and international conflict resolution. Fundamentals of Negotiation are required to complete this MOOC. You can acquire them through our MOOC \"Negotiation Fundamentals\".\\n\\nAfter this course, you will be able to: \\n\\nDefine what a mediation is and choose when to use it;\\nList different types of mediation;\\nIdentify typical challenges and difficulties that most mediators face;\\nChoose the adequate strategies within a repertoire of options;\\nIdentify the do’s and don’ts in mediation.\\n\\nThis MOOC offers video lectures from leading experts, interactive questions, case studies, practice and graded quizzes.\\n\\nDesigned as a logical follow on from the suite of ESSEC IRENE online courses in negotiation, this course about mediation and conflict resolution teaches a whole set of additional skills and approaches. Developed by one of Europe’s leading institutes of research and education in negotiation and mediation, ESSEC IRENE, this course provides you with a meaningful and effective bouquet of practical cases, tools, approaches and skills to put your mediation into high-impact practice.","speech; conflict-resolution; organizational-conflict; learning; project; organizational-structure; weighting; arbitration; negotiation; integration-testing","Negotiation, Mediation and Conflict Resolution",3.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[9.1,19.6]","German","English","business","leadership-and-management","pPsJvhv9EealIRJP087Tdw"]
["Communication Roles","Advertising","Advertising and Society","Duke University","Intermediate",14.9,4.71,"https://www.coursera.org/learn/role-of-advertising","This course examines the relation of advertising to society, culture, history, and the economy.  Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials.\\n\\nAbout the Course\\n\\nThe course covers a wide range of topics, including the origins of advertising, the creation of ads, the interpretation of ads, the depiction of race, class, gender, and sexuality in advertising, sex and selling, adverting and ethics, and the future of advertising. The lectures will discuss theoretical frameworks and apply them to specific advertisements.\\n\\nCourse Syllabus\\n\\nWeek 1: What is advertising and where did it come from?\\n\\nWeek 2: Am I being manipulated by advertising?\\n\\nWeek 3: What’s in an ad beyond that which meets the eye?\\n\\nWeek 4: How do ads get made?\\n\\nWeek 5: What do ads teach us about race, class, gender, and sexuality?\\n\\nWeek 6: Does sex sell?\\n\\nWeek 7: What is the future of advertising?\\n\\nRecommended Background\\n\\nNo background is required; everyone is welcome!\\n\\nSuggested Readings\\n\\nAlthough the lectures are designed to be self-contained, we recommend that students refer to the free online textbook ADTextOnline.org. Other free resources will be suggested for each week’s module.\\n\\nCourse Format\\n\\nMost videos will be lectures with instructor talking. Each lecture will be illustrated with PowerPoint slides, print advertisements, and TV commercials. The videos for each week will consist of segments that add up to about an hour. Each week will have one quiz that will appear as stand-alone homework. All resources beyond lectures will be available online to students at no charge. Most of these will be from ADTextOnline.org. Others will be visits to the sites of ad agencies in the US and abroad, open access websites that deal with course topics, and open-access journal articles.","target-audience; advertising-strategy; history-of-advertising; propaganda; marketing; history; audience; advertising; integration-testing; advertising-techniques","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,17.3]","Spanish","English","social-sciences","economics","ifD-vNG7EeW_sQqlOUlMew"]
["Communication Roles","Advertising","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Advertising","From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories","IE Business School","Beginner",12.0,4.51,"https://www.coursera.org/learn/brand-image-high-impact-campaign","There are many different ways to approach clients to assess their needs and develop creative campaigns which fulfill your creative desires. Many agencies have established methodology, terminology and processes, and oftentimes, have spent decades or even years developing these processes. However, whether you are a freelancer, designer, illustrator, photographer or marketing director, or perhaps a small business owner, you will be looking to develop a simple process to create campaigns for yourself or your client. \\n\\nIn this course I am offering you a methodology which you can easily put into practice. Then, as your needs change and grow, you might decide that you want to incorporate other techniques as well.  I hope this course serves as a launchpad for you to go out and win new creative projects as well as make the ones that you are currently working on even better. And most of all, I hope you have FUN! Because remember, if you're not having fun, it's not worth it!","advertising-campaigns; advertising; creativity; brand-identity; digital-branding; brand-marketing; brand; digital-marketing; creative-brief; marketing","Branding: The Creative Journey",3.0,"https://www.coursera.org/specializations/branding-the-creative-journey","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[6.1,16.4]","NA","English","business","marketing","k8OfhUnHEeemlQrrzf9X-A"]
["Communication Roles","Advertising","Legal Tech & Startups","IE Business School","Intermediate",16.3,4.48,"https://www.coursera.org/learn/legal-tech-startups","LegalTech is the reaction to the disruption that technology is having across all sectors of the economy. Considering that the legal sector is one of the most resistant to change, due to its conservative nature, we can see just how different the future will be. In this course, IE professor Marti Manent will guide you through the essential stages of this disruption in technology, giving you the key tools and ideas to consider when starting your online business. \\n\\nIn the course, Marti explains the key market trends that you will encounter and will provide you with a handy practical toolbox. The course features interviews with industry professionals as well as very motivating and interesting lectures that will help you open your mind and better understand everything in the course. Be part of this disruption that technology is having in the legal sector and join Professor Marti during this exciting new course.","management; legal-advertising; lean-startup; marketing; business-model; electronic-business; law; business-law; advertising; modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,25]","NA","English","business","entrepreneurship","GPp8-jxTEea1eg6YQeunOw"]
["Communication Roles","Advertising","Leadership Through Marketing","Northwestern University","Beginner",11.5,4.51,"https://www.coursera.org/learn/leadership-marketing","The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers. In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.","management; critical-thinking; integration-testing; data-analysis; marketing; market-economics; customer; analysis; analytics; leadership","Organizational Leadership",4.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[7.6,13.8]","NA","English","business","leadership-and-management","VlLC102NEeWEHRLwpfV5DQ"]
["Communication Roles","Advertising","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Communication Roles","Advertising","International Entertainment and Sports Marketing","Yonsei University","Intermediate",7.0,4.65,"https://www.coursera.org/learn/international-entertainment-sports-marketing","This course will provide learners with a fundamental understanding of the characteristics and marketing strategies related to two key global industries, sports and entertainment. The growth in both industries have been fueled by their ability to innovate via CCCI, i.e. cross-country and cross-industry expansion. There will be a graded quiz that will consists of 10 questions during the first two weeks (together worth 50% of the grade)  and a final quiz that contains 20 questions (worth 50% of the grade) in the third week. \\n\\nPeople who successfully complete this course will obtain the following outcomes:\\n\\n(1) You will learn the key characteristics of sports marketing.\\n(2) You will learn the key characteristics of entertainment marketing.\\n(3) You will be able to apply cross country growth strategies to your business in the sports and entertainment industry. \\n(4) You will be able to apply cross industry growth strategies to your business in the sports and entertainment industry”. \\n(5) You will be able to reference CCCI, i.e. cross-country and cross-industry Innovation best practices via interviews with key experts in the sports and entertainment industry such as from adidas, Audi, and YG Entertainment (home to Psy and Gangnam Style).","global-marketing; international-finance; marketing; global; sports; market-economics; advertising; educational-entertainment; sports-marketing; brand","International Marketing & Cross Industry Growth",5.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[4.8,8.3]","Chinese; Spanish","English","business","marketing","MgL5IIE6EeWBvwrKtFGfAw"]
["Communication Roles","Advertising","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Communication Roles","Advertising","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Communication Roles","Advertising","Digital Footprint","The University of Edinburgh","Beginner",5.8,4.54,"https://www.coursera.org/learn/digital-footprint","If I Googled you, what would I find?\\n\\nAs we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us.  \\n\\nIn this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. We will introduce you to some of the tools and approaches to effectively manage your online presence (or digital footprint).  \\n\\nThe course will focus on the different dimensions of a digital footprint, including developing an effective online presence, managing your privacy, creating opportunities for networking, balancing and managing professional and personal presences (eprofessionalism). By the end of this course (MOOC) you should be equipped to ensure that your digital footprint works for you, whether you want to be more private online, or are looking to create a more effective and impactful presence.  \\n\\nYou can also join the conversation on Twitter using the hashtag #DFMOOC and follow us @DFMOOC\\n\\nWe hope you enjoy the course!","digital-footprint; personal-advertisement; professional; security; social-media; management; footprinting; privacy; e-professional; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3,7.2]","NA","English","personal-development","personal-development","sPT4Do1cEeWbIxKn7M-nSQ"]
["Communication Roles","Advertising","Search Advertising","University of Colorado Boulder","Beginner",13.2,4.5,"https://www.coursera.org/learn/search-advertising","Consumers search for virtually everything. This includes the things that small businesses do, from restaurants to bespoke products. When consumers search they get organic results along with paid results. Paid search ads are systematically designed to be relevant. As a result, they’re often useful at getting consumers where they want to go. Consumers don’t tune out paid search like other types of digital ads. \\n\\nSearch ads can be a small business opportunity. While larger advertisers pay massive amounts to place their ads via search, we highlight smart ways small businesses can create their own tailored search campaigns on small budgets. \\n\\nThis course shows small businesses how to create and execute search campaigns on Google Ads Search (formally AdWords). Through an introductory overview, students are guided through the official Google Ads Search training materials where they will ultimately earn an official Google Ads Search Certification. Beyond Google materials, practical campaign creation and optimization best practices and exercises are provided by real experts.","advertising; digital-advertising; instagram; pay-per-click; google-adwords; contextual-advertising; marketing; digital-marketing; facebook; media-strategy","Digital Advertising Strategy",2.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[7.6,14.6]","NA","English","business","marketing","5r8gVmqUEemxsBKjdv7F8g"]
["Communication Roles","Advertising","Native Advertising","University of Colorado Boulder","Beginner",9.0,4.5,"https://www.coursera.org/learn/native-advertising","Native advertising is a niche form of advertising that leverages the design and format of news and entertainment content. Native advertising is less about selling products and more about producing useful content for consumers who are in the ‘consideration’ phase of the advertising purchase funnel. Often in the form of news-like stories, native advertising has been shown to persuade consumers. Native advertising is affordable, and doesn’t require graphic design to get started. For these reasons, it’s a compelling advertising technique for small businesses. This course outlines a case study where a small travel startup used native advertising to drive hotel sales. Execution strategies for a successful, no-creative native campaign are laid out, including: gathering existing news coverage, ethical content seeding, and content generation.","advertising; facebook; digital-advertising; instagram; digital-marketing; native-advertising; purchase-funnel; marketing; media-strategy","Digital Advertising Strategy",4.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[4.3,10.4]","NA","English","business","marketing","K1eMvWqVEemkEA7qvbzQtA"]
["Communication Roles","Advertising","Introduction to the Digital Advertising Landscape","University of Colorado Boulder","Intermediate",27.9,4.26,"https://www.coursera.org/learn/digital-advertising-landscape","The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.","advertising; google-adwords; digital-marketing; adtech; marketing; digital-advertising; facebook; advertising-campaigns; instagram; social-media","Digital Advertising Strategy",1.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[9.9,43.6]","NA","English","business","marketing","xgDSp2qTEemAbgqbKzmtFA"]
["Communication Roles","Advertising Sales","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Advertising Sales","Introduction to the Digital Advertising Landscape","University of Colorado Boulder","Intermediate",27.9,4.26,"https://www.coursera.org/learn/digital-advertising-landscape","The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.","advertising; google-adwords; digital-marketing; adtech; marketing; digital-advertising; facebook; advertising-campaigns; instagram; social-media","Digital Advertising Strategy",1.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[9.9,43.6]","NA","English","business","marketing","xgDSp2qTEemAbgqbKzmtFA"]
["Communication Roles","Business Communication","Business English: Planning & Negotiating","University of Washington","Advanced",33.4,4.78,"https://www.coursera.org/learn/business-english-negotiating","In this course, the context is hosting an event and finding an appropriate venue for it. You will learn language and strategies for successful negotiations culminating in a written announcement for an event.\\n\\nCourse Learning Objectives\\n\\n•\\tNegotiate strategically in formal and informal settings\\n•\\tIdentify and resolve customer issues after a negotiation has taken place\\n•\\tEvaluate and compare services and features of two venues\\n•\\tPlan a business event using negotiation skills\\n•\\tWrite an announcement for a business event after selecting a venue","writing; english-language; organizing-management; planning; business-communication; emailing; communication; negotiation; plan; language","Business English Communication Skills",3.0,"https://www.coursera.org/specializations/business-english","This Specialization is designed to teach you to communicate effectively in English in professional contexts. You will expand your English vocabulary, improve your ability to write and speak in English in both social and professional interactions, and learn terminology and skills that you can apply to business negotiations, telephone conversations, written reports and emails, and professional presentations.","[15.6,58]","Mongolian","English","language-learning","learning-english","6Q6xanzkEeWUswr9_O_RKw"]
["Communication Roles","Business Communication","Business English: Basics","The Hong Kong University of Science and Technology","Intermediate",23.9,4.47,"https://www.coursera.org/learn/business-english","This course aims to improve your Business English language skills by developing your vocabulary and reading skills and your understanding of tone, style and knowledge of communication methods. We'll also cover how these language skills can enhance audience analysis, business case analysis and basic business communication strategies. Skills learned in this course will often be referred to and needed to complete the speaking, writing and cross-cultural communications courses of this Specialization.\\n\\nAfter completing this course, you will be able to:\\n\\n- describe things and events in the context of Business English\\n- make requests in the context of Business English\\n- support arguments in the context of Business English\\n- use appropriate tone and style according to the context of Business English\\n- conduct an audience analysis\\n- match audience with the purpose and medium of communication\\n- analyse and summarise business data","business-communication; english-language; communication; grammar; speech; writing; business-writing; language; learning; integration-testing","Business English for Non-Native Speakers",1.0,"https://www.coursera.org/specializations/business-english-speakers","This Specialization will introduce non-native speakers of English to methods for developing English language and communication skills for the workplace, doing business, cross-cultural understanding, and business case study analysis. You'll apply these skills in the final Capstone Project by analysing a current business case study and providing recommendations to a target audience in both presentation and written formats.","[15.1,36.2]","Russian; Spanish; Arabic","English","language-learning","learning-english","Bg6XXXVJEeWKxgq26fqTNQ"]
["Communication Roles","Business Communication","Business English for Cross-cultural Communication","The Hong Kong University of Science and Technology","Advanced",21.8,4.75,"https://www.coursera.org/learn/cross-cultural-communication-business","This course aims to prepare you for working in an cross-cultural Business setting. We'll learn about common cross-cultural theories and how they are relevant to everyday business practices in a globalised world. By combining all of your vocabulary, reading, speaking, and writing skills that you acquired in the previous three courses, you will learn how language plays an important role in cross-cultural communication. You will also enhance your cross-cultural understanding and will be able to use vocabulary, tone and style, and spoken and written communication skills within a cross-cultural Business context. Skills learned in this course help prepare you to deliver the professional business presentation in the Capstone project.\\n\\nAfter completing this course, you will be able to:\\n\\n- identify possible cross-cultural issues and misunderstandings in communication\\n- apply strategies to overcome possible cross-cultural issues and misunderstandings in communication\\n- produce documents with an appropriate style for business communication purposes within a cross-cultural situation\\n- deliver a speech with an appropriate style for business communication purposes within a cross-cultural situation","speech; communication; c-ross; learning; business-communication; cross-cultural-communication; professional; english-language; language; integration-testing","Business English for Non-Native Speakers",4.0,"https://www.coursera.org/specializations/business-english-speakers","This Specialization will introduce non-native speakers of English to methods for developing English language and communication skills for the workplace, doing business, cross-cultural understanding, and business case study analysis. You'll apply these skills in the final Capstone Project by analysing a current business case study and providing recommendations to a target audience in both presentation and written formats.","[10.2,34]","NA","English","language-learning","learning-english","B4r5tKMfEeWSJQrARhLW0Q"]
["Communication Roles","Business Communication","Business English: Networking","University of Washington","Advanced",24.8,4.73,"https://www.coursera.org/learn/business-english-intro","This course begins with a welcome message and an overview of the Specialization. After this introduction, you will be asked to take a proficiency test to see if this course is right for you. \\n\\nDuring the course, you will begin learning vocabulary and customs related to socializing and networking in English. The goal is to enable you to interact with business contacts in person, on the phone and over email in a professional way.\\n\\nCourse Learning Objectives\\n\\n•\\tDetermine whether the objectives of this Specialization align with your learning goals\\n•\\tEvaluate your current level of proficiency in business English communication \\n•\\tPresent relevant information about yourself in a discussion forum\\n•\\tDevelop your networking skills \\n•\\tWrite short emails with appropriate formatting\\n•\\tRecognize and produce formal and informal language in emails\\n•\\tDevelop vocabulary related to jobs and companies","language; email; email-writing; business-communication; english-language; business-writing; professional; writing; communication; emailing","Business English Communication Skills",1.0,"https://www.coursera.org/specializations/business-english","This Specialization is designed to teach you to communicate effectively in English in professional contexts. You will expand your English vocabulary, improve your ability to write and speak in English in both social and professional interactions, and learn terminology and skills that you can apply to business negotiations, telephone conversations, written reports and emails, and professional presentations.","[16.6,29.1]","Mongolian; Chinese","English","language-learning","learning-english","46b4tHEkEeWbbw5cIAKQrw"]
["Communication Roles","Business Communication","Business English: Finance and Economics","Arizona State University","Beginner",11.6,4.69,"https://www.coursera.org/learn/finance-economics-english","Do you work in finance or interact with finance professionals? Is it necessary to speak, write or understand English in your career? Follow the authentic characters in this course as they work through common business situations in finance and economics. Learn from your successes and failure, and think critically about your own communication options. After taking this course, you will be able to read and create efficient e-mails, reports, and impactful presentations with words and phrases commonly used in finance and economics. Communicate clearly under pressure utilizing recently learned strategies, and obtain immediate feedback about the efficiency of your business communication skills in English from other finance professionals around the world! Gain the English communication skills that you desire and that global managers expect.","language; win-win-game; business-communication; economics; finance; english-language; communication; business-writing; leadership; negotiation","Business English",2.0,"https://www.coursera.org/specializations/english-for-business","This Specialization serves as an introduction to Business English, where you will learn to communicate about topics such as management, finance and marketing. You will also write proposals, executive summaries, and marketing materials. You will also learn the necessary language structures to run a meeting, achieve sales, and negotiate other business transactions. In the Capstone Project, you will apply these skills to communicate and launch a new product in English, making sure that business executives have a variety of linguistic tools with practical applications in business scenarios in a variety of functional areas.","[4.1,16.1]","Spanish","English","language-learning","learning-english","s_UQK4dZEea7gQ7SGpLMJw"]
["Communication Roles","Business Communication","Business English: Marketing and Sales","Arizona State University","Advanced",12.8,4.75,"https://www.coursera.org/learn/marketing-sales-english","If you work in marketing, sales, or advertising, you already know that effective communication is a requirement. This can be even more difficult when expressing your ideas in a persuasive manner in English.  In this course, you will learn to use English more efficiently while joining successful global professionals around the world. Develop your skills along with authentic characters that work in marketing and also work hard to improve their communication skills. Learn from your successes and failures, reflect on your own style, strengths, and improvement areas. After taking this course, you will be able to:\\n·      Express your ideas through efficient emails, reports and persuasive presentations\\n·      Learn words and phrases related to market research, branding, direct marketing, advertising costs, etc.\\n·      Get instant feedback about the efficiency of your business communication skills in English from sales and marketing professionals from around the world\\n·      Become part of a global community of business professionals who are developing their English communication skills","business-communication; presentation; marketing-sales; language; sales; marketing; english-language; sales-strategy; communication; sales-presentation","Business English",3.0,"https://www.coursera.org/specializations/english-for-business","This Specialization serves as an introduction to Business English, where you will learn to communicate about topics such as management, finance and marketing. You will also write proposals, executive summaries, and marketing materials. You will also learn the necessary language structures to run a meeting, achieve sales, and negotiate other business transactions. In the Capstone Project, you will apply these skills to communicate and launch a new product in English, making sure that business executives have a variety of linguistic tools with practical applications in business scenarios in a variety of functional areas.","[5,17.9]","NA","English","language-learning","learning-english","aWeQOYdaEeacLAowENVELw"]
["Communication Roles","Business Communication","English for Effective  Business Writing","The Hong Kong University of Science and Technology","Advanced",24.5,4.37,"https://www.coursera.org/learn/english-for-business-writing","This course aims to improve your Business English writing skills by developing your use of vocabulary, grammar, understanding of different business writing genres, and your ability to write professional business documents. Skills learned in this course will be used in the cross-cultural communications course and help prepare you to produce the professional business documents in the Capstone project.\\n\\nAfter completing this course, you will be able to:\\n\\n- write business emails\\n- write an executive summary\\n- write persuasively in English\\n- adapt content to purpose, context and audience\\n- use appropriate style and tone of writing for business purposes","emailing; business-communication; learning; business-writing; email; english-language; writing; essay-writing; communication; language","Business English for Non-Native Speakers",2.0,"https://www.coursera.org/specializations/business-english-speakers","This Specialization will introduce non-native speakers of English to methods for developing English language and communication skills for the workplace, doing business, cross-cultural understanding, and business case study analysis. You'll apply these skills in the final Capstone Project by analysing a current business case study and providing recommendations to a target audience in both presentation and written formats.","[15.7,40.4]","Georgian","English","language-learning","learning-english","vQKfPqMeEeWSJQrARhLW0Q"]
["Communication Roles","Business Communication","Business English: Management and Leadership","Arizona State University","Beginner",15.4,4.72,"https://www.coursera.org/learn/management-leadership-english","Are you a business executive or a manager who uses English in your career? Then you know that good business communication in English requires focus, vocabulary, and specific linguistic structures. In this course, you will follow along a recently promoted manager as she builds and leads her team to success. Together, you will practice the language and styles of communication  needed in English for\\n•\\tRecruiting and training a professional team to work together with integrity and respect\\n•\\tManaging and participating in well-organized meetings\\n•\\tMaking telephone conferences more efficient\\n•\\tWriting professional emails that are easy to read\\nThe activities in this course will give you the opportunity to share your experience and receive immediate feedback from other business professionals around the world.","management; business-communication; english-language; meeting; emailing; writing; leadership; communication; language; coaching","Business English",1.0,"https://www.coursera.org/specializations/english-for-business","This Specialization serves as an introduction to Business English, where you will learn to communicate about topics such as management, finance and marketing. You will also write proposals, executive summaries, and marketing materials. You will also learn the necessary language structures to run a meeting, achieve sales, and negotiate other business transactions. In the Capstone Project, you will apply these skills to communicate and launch a new product in English, making sure that business executives have a variety of linguistic tools with practical applications in business scenarios in a variety of functional areas.","[9.1,22.9]","Spanish","English","language-learning","learning-english","gTD10IdYEeaG-BL9miwwYw"]
["Communication Roles","Business Communication","Professional Skills for International Business","University of London","Intermediate",22.1,4.64,"https://www.coursera.org/learn/professional-skills-networking","This course provides insight into the key professional skills needed by managers at all levels of an organisation. You’ll learn key skills such as how to make a positive first impression; how to become a role model at work; effective time and resource management; and networking.\\n\\nThis course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. \\n\\nIf completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.\\n\\nThis course is endorsed by CMI","leadership; brand; social-network; communication; delegation; professional; personal-branding; time-management; personal-advertisement; management","International Business Essentials",1.0,"https://www.coursera.org/specializations/mba","This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in international business.\\n\\nIf completed successfully, you may be able to use your certificate from this specialisation as part of the application process for the University of London Global MBA.\\n\\nThis Specialisation is endorsed by CMI.","[12.2,27.3]","NA","English","business","business-essentials","oS2FlU5kEeaRUwokXvhjDw"]
["Communication Roles","Business Communication","Business English: Meetings","University of Washington","Advanced",26.4,4.73,"https://www.coursera.org/learn/business-english-meetings","This course will teach you vocabulary and skills related to participating in meetings. You will learn terms and phrases used both in email and in speaking to arrange, participate in, and conclude meetings. The goals of this course are to enable you to participate effectively in on-site meetings and teleconferences and to prepare you to write a proposal as an outcome of a meeting.\\n\\nCourse Learning Objectives\\n\\n•\\tArrange a meeting though email and by telephone \\n•\\tList expectations and protocols related to on-site meetings and teleconferences\\n•\\tState phone numbers, dates, currencies and sales figures accurately \\n•\\tWrite a proposal with appropriate organization and vocabulary","professional; integration-testing; business-communication; process; english-language; proposal-writing; language; writing; communication; meeting","Business English Communication Skills",2.0,"https://www.coursera.org/specializations/business-english","This Specialization is designed to teach you to communicate effectively in English in professional contexts. You will expand your English vocabulary, improve your ability to write and speak in English in both social and professional interactions, and learn terminology and skills that you can apply to business negotiations, telephone conversations, written reports and emails, and professional presentations.","[14.1,44.8]","Arabic; Russian","English","language-learning","learning-english","aySVfHahEeWYyRL_9oqa4Q"]
["Communication Roles","Customer Support","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Communication Roles","Customer Support","Technical Support Fundamentals","Google","Beginner",19.8,4.79,"https://www.coursera.org/learn/technical-support-fundamentals","This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you’ll be introduced to the world of Information Technology, or IT. You’ll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what’s to come in this certificate program.\\n\\nBy the end of this course, you’ll be able to:\\n● understand how the binary system works\\n● assemble a computer from scratch\\n● choose and install an operating system on a computer\\n● understand what the Internet is, how it works, and the impact it has in the modern world\\n● learn how applications are created and how they work under the hood of a computer\\n● utilize common problem-solving methodologies and soft skills in an Information Technology setting","troubleshooting; customer-support; binary-code; pc-hardware; linux; communications-protocol; software; software-installation; operating-system; customer","Google IT Support",1.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[12.2,23.3]","Portuguese; Spanish","English","information-technology","support-and-operations","7sBiclFIEeetjQ5ppGVTyA"]
["Communication Roles","Customer Support","IT Security: Defense against the digital dark arts","Google","Beginner",21.3,4.74,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","cryptography; computer-security; security; wireless-security; authentication; encryption; wireless; secure-network; information-security; network-security","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.9]","Portuguese; Spanish; Arabic","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Communication Roles","Journalism","Making Sense of the News: News Literacy Lessons for Digital Citizens","The State University of New York","Beginner",15.2,4.81,"https://www.coursera.org/learn/news-literacy","Never before has the need for News Literacy been more urgent. As news consumers are bombarded with a constant stream of fake news, propaganda, hoaxes, rumors, satire, and advertising — that often masquerade as credible journalism — it is becoming more and more difficult to distinguish fact from fiction. While the public’s faith in the news media erodes, purveyors of misinformation have helped give rise to troubling cultural trends and alarming political movements.\\n\\nThis six-week course will help learners develop their critical thinking skills to enable them to better identify reliable information in news reports and to become better informed about the world in which we live. The course will discuss the key elements of journalism from the viewpoint of the news audience.\\n\\nThe language of instruction is English, but Chinese and Spanish subtitles will be available. Each week will tackle a challenge unique to the digital era:\\n\\nWeek 1: The power of information is now in the hands of consumers.\\nWeek 2: What makes journalism different from other types of information?\\nWeek 3: Where can we find trustworthy information?\\nWeek 4: How to tell what’s fair and what’s biased.\\nWeek 5: How to apply news literacy concepts in real life.\\nWeek 6: Meeting the challenges of digital citizenship.","journalism; news; network-news-transfer-protocol; sources; media-literacy; verification-and-validation; value-of-information; critical-thinking; evaluation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,19.4]","Spanish; Chinese; Polish","English","social-sciences","education","7uQXLZIsEeWBSw79YYA_8Q"]
["Communication Roles","Journalism","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.6,4.6,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","communication; infographics; graphic-design; adobe-illustrator; communication-design; information-design; graphics; map; chart; illustration","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.9,18.5]","NA","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Communication Roles","Journalism","Visualization for Data Journalism","University of Illinois at Urbana-Champaign","Beginner",17.4,5.0,"https://www.coursera.org/learn/visualization-for-data-journalism","While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors. The purpose of this class is to learn how to think about the visual presentation of data, how and why it works, and how to doit the right way. We will learn how to make graphs like The New York Times, Vox, Pew, and FiveThirtyEight. In the end, you can share–embed your beautiful charts in publications, blog posts, and websites.\\n\\nThis course assumes you understand basic coding skills, preferably Python. However, we also provide a brief review on Python in Module 1, in case you want to refresh yourself on the basics and perform simple data analysis.","data-journalism; journalism","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,20.9]","NA","English","data-science","data-analysis","W9sjXiNOEemNdRKVol9w-A"]
["Communication Roles","Journalism","Capstone: Create your own professional journalistic portfolio","Michigan State University","Beginner",11.8,4.8,"https://www.coursera.org/learn/become-a-journalist-capstone","This is it! It is time for YOU to be the journalist, and practice and display the skills you have learned through this Specialization journey. You will create your own professional journalistic portfolio, culminating in the creation of your own news report from start to finish. You will go through all the steps and skills used by professional journalists: conceptualizing a news report idea, reporting, interviewing, researching, and then compiling the information for an audience. Your learner community, along with the Michigan State Journalism team, will be with you every step of the way. Having a professional portfolio will help you market yourself as a journalist, showing off your work product, as well as practice and hone your journalistic skill set. You will receive an exclusive premium \"Journalism\" badge for social media, to display your Capstone completion.","communication; sources; interview; professional; multimedia; journalism; news-writing; news; writing; opinion","Become a Journalist: Report the News!",5.0,"https://www.coursera.org/specializations/become-a-journalist","This Specialization will develop and enhance your understanding of the global field of journalism. You'll learn best practices and ethical standards for newsgathering processes and compiling a news report through hands-on projects, peer-to-peer feedback, and issue exploration. You will also study journalism's impact on societal issues and trends, plus explore career opportunities in newspapers, magazine, social media, Internet multimedia, television, radio, corporate and community journalism. The final Capstone project will guide you through the journalistic portfolio process, where you will conceptualize, report and complete a professional-quality news report.","[7,13.6]","NA","English","arts-and-humanities","music-and-art","1AAvk3H7EeWIfhKr_WcYsQ"]
["Communication Roles","Journalism","Effectively delivering the news to your audience","Michigan State University","Advanced",9.1,4.76,"https://www.coursera.org/learn/deliver-the-news","Being a successful journalist is more than hunting down information. How journalists process the information, then put it together, are key steps for news reports. You will learn the process, planning, requirements of how journalists develop their news reports. There are many ways to report news reports, and you will learn different forms of how to perform reporting and writing to serve different audiences. This course also explains the different formats within journalism, beyond the written word and how they are best utilized.","audience; news; report-writing; journalism; media-and-citizenship; recording; network-news-transfer-protocol; quotation; integration-testing; gratitude","Become a Journalist: Report the News!",3.0,"https://www.coursera.org/specializations/become-a-journalist","This Specialization will develop and enhance your understanding of the global field of journalism. You'll learn best practices and ethical standards for newsgathering processes and compiling a news report through hands-on projects, peer-to-peer feedback, and issue exploration. You will also study journalism's impact on societal issues and trends, plus explore career opportunities in newspapers, magazine, social media, Internet multimedia, television, radio, corporate and community journalism. The final Capstone project will guide you through the journalistic portfolio process, where you will conceptualize, report and complete a professional-quality news report.","[5.1,11.5]","NA","English","arts-and-humanities","music-and-art","Kz1Vwnd_EeWKsgrp3VnvAw"]
["Communication Roles","Journalism","Gathering and Developing the News","Michigan State University","Intermediate",12.5,4.7,"https://www.coursera.org/learn/gathering-the-news","Journalists develop information through interviews and sources. The most successful journalists quickly master these important skill sets. The production of journalism relies on several elements: newsgathering, interviewing sources, researching and trying to find as much information as possible. The course will also teach you how to where to find information, interviewing skills and how to process information from various sources for publication.","journalism; sources; interview; social-media; integration-testing; network-news-transfer-protocol; news; ajplus; learning; gratitude","Become a Journalist: Report the News!",2.0,"https://www.coursera.org/specializations/become-a-journalist","This Specialization will develop and enhance your understanding of the global field of journalism. You'll learn best practices and ethical standards for newsgathering processes and compiling a news report through hands-on projects, peer-to-peer feedback, and issue exploration. You will also study journalism's impact on societal issues and trends, plus explore career opportunities in newspapers, magazine, social media, Internet multimedia, television, radio, corporate and community journalism. The final Capstone project will guide you through the journalistic portfolio process, where you will conceptualize, report and complete a professional-quality news report.","[5.5,16.6]","NA","English","arts-and-humanities","music-and-art","893hvnH8EeWLqw7zlLhRzQ"]
["Communication Roles","Journalism","What is news?","Michigan State University","Beginner",12.4,4.66,"https://www.coursera.org/learn/what-is-news","This course will guide you through the basic elements of professional journalism and the news values and ethics of covering real-world issues and events. The overview and examples of the types of news coverage helps introduce the different types of journalism, such as social media, multimedia, print, visual and broadcast, and how professional journalists effectively use each format.","learning; news; news-writing; journalism; ethics; writing; network-news-transfer-protocol; credibility; social-media; integration-testing","Become a Journalist: Report the News!",1.0,"https://www.coursera.org/specializations/become-a-journalist","This Specialization will develop and enhance your understanding of the global field of journalism. You'll learn best practices and ethical standards for newsgathering processes and compiling a news report through hands-on projects, peer-to-peer feedback, and issue exploration. You will also study journalism's impact on societal issues and trends, plus explore career opportunities in newspapers, magazine, social media, Internet multimedia, television, radio, corporate and community journalism. The final Capstone project will guide you through the journalistic portfolio process, where you will conceptualize, report and complete a professional-quality news report.","[7.8,19]","Greek; Arabic","English","arts-and-humanities","music-and-art","6Fa6w3EjEeWbbw5cIAKQrw"]
["Communication Roles","Marketing Management","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Communication Roles","Marketing Management","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Communication Roles","Marketing Management","International Organizations Management","University of Geneva","Beginner",19.3,4.79,"https://www.coursera.org/learn/international-organizations-management","This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today. It will introduce you to effective, state-of-the art management tools and principles to help you lead change in this world – taught by senior staff of international organizations themselves. \\n\\nThis is an introductory course offered by the International Organizations MBA (IO-MBA) of the University of Geneva, an executive program for change-makers in international organizations, NGOs and social ventures.","fundraising; collaborative-partnerships; management; marketing; leadership; marketing-communications; collaboration; communication; partnership; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.6]","NA","English","business","leadership-and-management","kw2eEcR8EeWUVgrPm5MRqw"]
["Communication Roles","Marketing Management","Innovation for Entrepreneurs: From Idea to Marketplace","University of Maryland, College Park","Beginner",11.7,4.35,"https://www.coursera.org/learn/innovative-entrepreneur","Develop insights on navigating the innovation process from idea generation to commercialization. Build knowledge on how to create strategies to bring innovations to market. Develop an innovation portfolio and business model canvas for your venture.\\n\\nWe establish a framework for examining the innovation process, and quickly transition into exploring how to successfully bring innovations to market. Key questions answered within the course include: \\n\\n* What are the key indicators of innovation opportunities?\\n* What steps are critical for entrepreneurs to bring innovations to the marketplace?\\n* What innovation strategies are valuable for new ventures to establish and maintain a competitive advantage?\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","product-business; business-model; value-proposition; modeling; customer; proposition; marketing; innovation; market-economics; management","Entrepreneurship: Launching an Innovative Business",2.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[6.4,13.3]","Vietnamese","English","business","entrepreneurship","mn-McyvqEeWccAqzeA4VPw"]
["Communication Roles","Marketing Management","Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship","University of Maryland, College Park","Beginner",11.0,4.59,"https://www.coursera.org/learn/innovative-ideas","This course assists aspiring and active entrepreneurs in developing great ideas into great companies. With strong economies presenting rich opportunities for new venture creation, and challenging economic times presenting the necessity for many to make their own job, the need to develop the skills to develop and act on innovative business opportunities is increasingly vital. \\n\\nUsing proven content, methods, and models for new venture opportunity assessment and analysis, you will learn how to:\\n\\n* Identify and analyze entrepreneurial opportunities;\\n* Enhance your entrepreneurial mindset;\\n* Improve your strategic decision-making; and \\n* Build innovative business models.\\n\\nOur goal is to demystify the startup process, and to help you build the skills to identify and act on innovative opportunities now, and in the future.\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","innovation; opportunity-identification; plan; marketing; planning; market-economics; business-plan; analysis; entrepreneurship; management","Entrepreneurship: Launching an Innovative Business",1.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[5.7,13.7]","Spanish; Portuguese; Chinese","English","business","entrepreneurship","URpKtPs6EeSnBSIACi-PoQ"]
["Communication Roles","Marketing Management","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Marketing Management","Food & Beverage Management","Università Bocconi","Beginner",14.0,4.79,"https://www.coursera.org/learn/food-beverage-management","Managing a company in the food and beverage industry is a fascinating task.\\n\\nFood and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.\\n\\nThe objective of this course is twofold: first, we will focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and second, we will provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.\\n\\nThis course is made up of four modules and an introduction, each exploring one dilemma that food and beverage companies face. You will be presented with a set of video lectures and guest speakers. These lectures combine an accessible introduction to specific topics integrated with interviews of managers and experts that will give precious insights and examples to the participants.\\n\\nTo enhance your learning experience with us, we will make a Documentary on the Excellences of the Modena District available for you, which is in a format that we have developed specifically for this course in order to give you the chance to experience first-hand the territory as our on-campus students usually do.\\n\\nEach module is paired with an evaluated quiz and weekly discussion forums to reflect on the variety of the F&B world, its complexity, and the power of the network that we will build together during the course.\\n\\nSuccessful completion of the quizzes is required for a course certificate as explained in the Grading Policy.\\n\\nBelow the guest speakers of the course:\\n\\nMasterchef Italia Sky – Nils Hartmann, Head of Movie Channels at Sky Italia – www.masterchef.sky.it\\nEataly - Paolo Bongiovanni, Marketing Director Italy – www.eataly.net\\nBerlucchi – Paolo Ziliani, Owner – www.berlucchi.it\\nJoia Restaurant – Alta Cucina Naturale – Pietro Leemann, Owner and Chef – www.joia.it\\nBranca – Nicolò Branca, Owner – www.branca.it\\nBarilla – Giuseppe Morici, President Region Europe – www.barilla.com\\nProyecto Expo 2015 Chile – Guillermo Ariztia, Chile Pavillon Director – www.expomilan.cl\\nWinery Il Cavallante, Milano – Sergio Morpurgo, Owner\\nHeineken – Floris Cobelens, Marketing Director – www.heineken.com\\nTRDN – Martin Oetting, Managing Director – www.trnd.com\\nGROM – Federico Grom, Owner and Founder – www.grom.it/en\\nTetra Pak – Matthew Hatton, Director Competitor Intelligence – www.tetrapak.com\\nBioHombre – Matteo Panini, CEO – www.hombre.it\\nAcetaia Maletti – Carmen & Claudio Maletti\\nCantine Riunite & CIV – Vanni Lusetti, CEO; Francesca Benini, Sales & Marketing Manager; Elena Lottici, Export Manager; Mario Vandi, Brand Manager – www.riunite.it\\nGlemGas – Marco Guerzoni, Program Product Manager – www.glemgas.com\\nBibendum Catering – LaFranceschetta58 – Sabrina Lazzereschi & Marta Pulini, Owners and Founders – www.bibendumcatering.it , www.franceschetta58.it\\n\\nDISCLAIMER - Since most of the videos are conducted with those whose native language is not English, we have decided to sometimes preserve their more emphatic speech to keep a tighter match between the audio and the subtitles.","marketing-communications; brand-management; brand; marketing; communication; food-marketing; promotion-and-marketing-communications; market-economics; marketing-strategy; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,16.7]","Italian; Spanish; Chinese","English","business","leadership-and-management","6byT1CWWEeW5pgpJEN0S6w"]
["Communication Roles","Marketing Management","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Marketing Management","International Entertainment and Sports Marketing","Yonsei University","Intermediate",7.0,4.65,"https://www.coursera.org/learn/international-entertainment-sports-marketing","This course will provide learners with a fundamental understanding of the characteristics and marketing strategies related to two key global industries, sports and entertainment. The growth in both industries have been fueled by their ability to innovate via CCCI, i.e. cross-country and cross-industry expansion. There will be a graded quiz that will consists of 10 questions during the first two weeks (together worth 50% of the grade)  and a final quiz that contains 20 questions (worth 50% of the grade) in the third week. \\n\\nPeople who successfully complete this course will obtain the following outcomes:\\n\\n(1) You will learn the key characteristics of sports marketing.\\n(2) You will learn the key characteristics of entertainment marketing.\\n(3) You will be able to apply cross country growth strategies to your business in the sports and entertainment industry. \\n(4) You will be able to apply cross industry growth strategies to your business in the sports and entertainment industry”. \\n(5) You will be able to reference CCCI, i.e. cross-country and cross-industry Innovation best practices via interviews with key experts in the sports and entertainment industry such as from adidas, Audi, and YG Entertainment (home to Psy and Gangnam Style).","global-marketing; international-finance; marketing; global; sports; market-economics; advertising; educational-entertainment; sports-marketing; brand","International Marketing & Cross Industry Growth",5.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[4.8,8.3]","Chinese; Spanish","English","business","marketing","MgL5IIE6EeWBvwrKtFGfAw"]
["Communication Roles","Marketing Management","Leadership Through Marketing","Northwestern University","Beginner",11.5,4.51,"https://www.coursera.org/learn/leadership-marketing","The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers. In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.","management; critical-thinking; integration-testing; data-analysis; marketing; market-economics; customer; analysis; analytics; leadership","Organizational Leadership",4.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[7.6,13.8]","NA","English","business","leadership-and-management","VlLC102NEeWEHRLwpfV5DQ"]
["Communication Roles","Media Strategy & Planning","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Communication Roles","Media Strategy & Planning","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Communication Roles","Media Strategy & Planning","Influencer Marketing Strategy","Rutgers the State University of New Jersey","Advanced",25.9,4.41,"https://www.coursera.org/learn/influencer-marketing-strategy","Influencer marketing is the practice of engaging internal and industry experts with active networks to help achieve measurable business goals. \\n\\nThis course is about strategy. Although there is no all-purpose, one-size-fits-all influencer marketing strategy template, you will learn how to tailor one for a wide variety of B2B, B2C, and nonprofit organizations using the two-step flow model of communication.\\n \\nBut this course is also about tactics. I believe, “Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” So, you will learn both in this 6-week long course.\\n\\nYour final project for this course is to create a pitch deck for a social media influencer strategy. The purpose of your final project is to give you a concrete artifact that you can use to demonstrate your mastery of new competencies and skills to either the executives in your current organization or to prospective employers.","brand; marketing-strategy; b2b-marketing; social-media; public-relations; content-marketing; influencer-marketing; marketing; social-media-marketing; marketing-analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17,33.2]","NA","English","business","marketing","Axwi2MCtEeedJRJjt8USWA"]
["Communication Roles","Media Strategy & Planning","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Communication Roles","Public Relations","Content Strategy for Professionals: Ensuring Your Content's Impact","Northwestern University","Intermediate",5.6,4.47,"https://www.coursera.org/learn/effective-content-strategy","In the fourth course of the Content Strategy Specialization - Ensuring Your Content's Impact - you will look at visual communication and the ways you can be more effective with your font choices, photography, and video. You'll also dive deeper into social communities to help you understand how these communities form and what you can do to build your role within them. The last module is pivotal for Content Strategists. It will help you to understand how best to measure your content to maximize its effectiveness relative to the time you commit to it.\\n\\nWhile this MOOC does share the theoretical elements of Content Strategy, there is a much greater emphasis on its application. Creating trend-worthy headlines and blogs, social media plans, digital measurement templates, video and photography content are all skills you will have in your toolkit by the end of the MOOC, ready to apply at your organization. And speaking of toolkits, we have included one that you can download and take back to work which includes the practical tips from the learnings in this course as well as the previous one on Expanding Your Content's Reach.\\n\\nGuest lecturers in this course include:\\n-- Zach Wise, Associate Professor, Medill Northwestern\\n-- Rich Gordon, Professor & Director of Digital Innovation, Medill, Northwestern\\n-- Randy Hlavac, Lecturer, Medill, Northwestern (and lead professor of the Social Media Marketing Specialization also on Coursera)","content-strategy; marketing-content-development; analytics; learning; social-media-campaigns; marketing; content-marketing; plan; social-media; communication","Content Strategy for Professionals",4.0,"https://www.coursera.org/specializations/content-strategy","Content Strategy uses credible, trustworthy, transparent media to communicate stories and information to enhance an organization’s strategic goals. In this Specialization, you’ll learn best practices from recognized industry and academic experts on how to create and implement engaging content across media platforms that the people you want to reach will really value.\\n\\nYou’ll learn how to engage your audience by implementing their stories and using proven tools and techniques to enhance an audience’s experience and interests. You’ll manage content once created by learning how best to tell an organization’s “content story” across media platforms using a human-centered design. You’ll also learn actionable ways to grow internal and external audiences, and expand your content’s reach.\\n\\nThe Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses in response to a real challenge facing organizations today.\\n\\nTo fit easily into busy schedules, the Specialization is constructed as four, three-week courses to better fit into any lifestyle. It is a program for you, as a professional, to master and then be able to use what you learn here and take it back to work. It's knowledge that will improve both your effectiveness, and your organization's.\\n\\nEach of the individual courses can be audited for free. Please note that you will not receive a Certificate of Completion if you choose to audit.","[3.7,6.9]","NA","English","business","marketing","X9H10cqoEeWhwwrjksNQhQ"]
["Communication Roles","Public Relations","What is Social?","Northwestern University","Beginner",8.8,4.59,"https://www.coursera.org/learn/what-is-social","The “What Is Social?\" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, \"how to\" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. \\n\\nWhile the course can be audited for free, paid learners will receive additional content beyond the course basics. For MOOC 1, the toolkit includes a special video from Alessandro Acquisti on Big Data and a set of studies done by IBM on engagement and social marketing strategies with bottom-line profits. \\n\\nThis course has been designed to give you the tools, insights, knowledge, and skills to immediately impact your organization. In addition, we will help you network with thought leaders in social.  After completing this course, you and your organization’s staff will be able to position, engage, and grow relationships with the consumers of highest value to you.\\n\\nToday, we are living in a period of massive disruption. New technologies are changing the way people engage with each other and with the organizations that interest them. This course will start you on the path to growing your own social strategy using effective, proven methodologies.\\n\\nAdditional MOOC 1 faculty include: \\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)","media-market; marketing; social-media-marketing; social-network; market-economics; social-media; audience; social-media-tools; social-marketing; integration-testing","Social Media Marketing",1.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.6,10.6]","Japanese","English","business","marketing","KqKtbzXyEeWW9BKhJ4xW0Q"]
["Communication Roles","Public Relations","The Business of Social","Northwestern University","Beginner",5.1,4.67,"https://www.coursera.org/learn/business-of-social","In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - \"The Business of Social\" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.\\n\\nAdditional MOOC 5 faculty include:\\n* Rich Gordon (Professor & Director of Digital Innovation, Medill, Northwestern)\\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Jeff Davidoff (CMO, Donuts.Domains) \\n* Matt Krull (Business Unit Executive, IBM Security) \\n* Frank Mulhern (Associate Dean, Department Chair, and Professor, Integrated Marketing Communications, Northwestern)","social-marketing; a-b-testing; market-economics; media-market; social-media; marketing; budget; social-media-marketing; management; integration-testing","Social Media Marketing",5.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[2.9,6.1]","NA","English","business","marketing","pbw8djXzEeW6RApRXdjJPw"]
["Communication Roles","Public Relations","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Communication Roles","Public Relations","Advanced Content and Social Tactics to Optimize SEO","University of California, Davis","Beginner",9.2,4.45,"https://www.coursera.org/learn/seo-tactics","Discover the content marketing and social media ecosystems and how these interconnected channels drive search results to a website. Leverage content marketing and social media as part of your SEO strategy, and how to use influence marketing to establish a website’s authority.","marketing; search-engine-optimization; content-marketing; marketing-content-development; social-media; mathematical-optimization; influencer-marketing; social-media-marketing; media-market; content-strategy","Search Engine Optimization (SEO)",4.0,"https://www.coursera.org/specializations/seo","This Specialization will teach you to optimize website content for the best possible search engine ranking. You'll learn the theory behind Google search and other search engine algorithms; you'll also build practical, real-world skills that you can apply to a career in digital marketing or online content development, including on-page and off-page optimization, optimizing for local and international audiences, conducting search-focused website audits, and aligning SEO with overall business strategies. Each course is intended to build on the skills from the previous course, thus we recommend you take the courses in the order they are listed. The Specialization culminates in a hands-on Capstone Project, in which you will apply your skills to a comprehensive SEO consulting task.","[6,10.7]","NA","English","business","marketing","kvco9XQ4EeWi0g6YoSAL-w"]
["Communication Roles","Public Relations","Digital Footprint","The University of Edinburgh","Beginner",5.8,4.54,"https://www.coursera.org/learn/digital-footprint","If I Googled you, what would I find?\\n\\nAs we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us.  \\n\\nIn this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. We will introduce you to some of the tools and approaches to effectively manage your online presence (or digital footprint).  \\n\\nThe course will focus on the different dimensions of a digital footprint, including developing an effective online presence, managing your privacy, creating opportunities for networking, balancing and managing professional and personal presences (eprofessionalism). By the end of this course (MOOC) you should be equipped to ensure that your digital footprint works for you, whether you want to be more private online, or are looking to create a more effective and impactful presence.  \\n\\nYou can also join the conversation on Twitter using the hashtag #DFMOOC and follow us @DFMOOC\\n\\nWe hope you enjoy the course!","digital-footprint; personal-advertisement; professional; security; social-media; management; footprinting; privacy; e-professional; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3,7.2]","NA","English","personal-development","personal-development","sPT4Do1cEeWbIxKn7M-nSQ"]
["Communication Roles","Public Relations","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Communication Roles","Public Relations","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Communication Roles","Public Relations","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Social Media","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Communication Roles","Social Media","Marketing Mix Fundamentals","IE Business School","Intermediate",11.3,4.5,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","marketing; pricing-strategies; marketing-mix; product-business; product-strategy; communication; marketing-communications; market-economics; pricing; product","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.3,14.8]","NA","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["Communication Roles","Social Media","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Communication Roles","Social Media","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Communication Roles","Social Media","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Communication Roles","Social Media","The Business of Social","Northwestern University","Beginner",5.1,4.67,"https://www.coursera.org/learn/business-of-social","In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - \"The Business of Social\" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.\\n\\nAdditional MOOC 5 faculty include:\\n* Rich Gordon (Professor & Director of Digital Innovation, Medill, Northwestern)\\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Jeff Davidoff (CMO, Donuts.Domains) \\n* Matt Krull (Business Unit Executive, IBM Security) \\n* Frank Mulhern (Associate Dean, Department Chair, and Professor, Integrated Marketing Communications, Northwestern)","social-marketing; a-b-testing; market-economics; media-market; social-media; marketing; budget; social-media-marketing; management; integration-testing","Social Media Marketing",5.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[2.9,6.1]","NA","English","business","marketing","pbw8djXzEeW6RApRXdjJPw"]
["Communication Roles","Social Media","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Communication Roles","Social Media","What is Social?","Northwestern University","Beginner",8.8,4.59,"https://www.coursera.org/learn/what-is-social","The “What Is Social?\" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, \"how to\" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. \\n\\nWhile the course can be audited for free, paid learners will receive additional content beyond the course basics. For MOOC 1, the toolkit includes a special video from Alessandro Acquisti on Big Data and a set of studies done by IBM on engagement and social marketing strategies with bottom-line profits. \\n\\nThis course has been designed to give you the tools, insights, knowledge, and skills to immediately impact your organization. In addition, we will help you network with thought leaders in social.  After completing this course, you and your organization’s staff will be able to position, engage, and grow relationships with the consumers of highest value to you.\\n\\nToday, we are living in a period of massive disruption. New technologies are changing the way people engage with each other and with the organizations that interest them. This course will start you on the path to growing your own social strategy using effective, proven methodologies.\\n\\nAdditional MOOC 1 faculty include: \\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)","media-market; marketing; social-media-marketing; social-network; market-economics; social-media; audience; social-media-tools; social-marketing; integration-testing","Social Media Marketing",1.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.6,10.6]","Japanese","English","business","marketing","KqKtbzXyEeWW9BKhJ4xW0Q"]
["Communication Roles","Social Media","Introduction to Social Media Analytics","Emory University","Advanced",10.7,4.49,"https://www.coursera.org/learn/social-media-analytics-introduction","Social media not only provides marketers with a means of communicating with their customers, but also a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this session exposes learners to the analytic methods that can be used to convert social media data to marketing insights. In Introduction to Social Media Analytics, learners will be exposed to both the benefits and limitations of relying on social media data compared to traditional methods of marketing research. Partnering with a leading social media listening platform, this course provides learners with the foundational skills of social media listening including the creation of monitors and common social media metrics. Moving beyond social media listening, this course shows learners how social media data can be used to provide insights into market structure and consumers’ perceptions of the brand.  Learners will have the opportunity to assess data and discern how to \"listen\" to the data by watching video lectures and completing activities, practice quizzes, discussion boards, and peer assessments.","social-media; marketing; marketing-analytics; consumer-insights; media-monitoring; social-media-analytics; social-media-marketing; voice-of-the-customer; social-media-measurement; market-research","Foundations of Marketing Analytics",5.0,"https://www.coursera.org/specializations/marketing-analytics","In this specialization you will learn how to:\\n\\n• Find, extract, organize and describe data to support business decisions\\n\\n• Identify, quantify and interpret relationships between variables\\n\\n• Derive customer insights from your data\\n\\n• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions\\n\\n• Present and justify a course of action to management\\n\\nThe capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.","[7.4,12.7]","NA","English","business","marketing","T1m-uDWGEeaMGQ62fT8BeQ"]
["Communication Roles","Media Production","Mastering Final Cut Pro","LearnQuest","Beginner",26.4,4.78,"https://www.coursera.org/learn/mastering-final-cut-pro","This course unravels the post-production world for editors. Students will dive into the key features of Apple’s Final Cut Pro software for Video and Audio Editing and learn elements for creating professional videos with the use of transitions and effects, titles and motion graphics, color correction, 360 Video and Media Management.\\n\\nThis self-paced course prepares students to pass the Final Cut Pro X certification exam. Learn at your own pace, retake the lessons as needed, and practice alongside the Apple Certified Trainer.\\n\\nWe recommend that you have a basic understanding of macOS, video terminology and while not required, experience with video production and workflow is helpful.\\n\\nThis course was developed by LearnQuest in association with two highly experienced Apple Certified Trainers and editors.","adobe-premiere; video-editing; final-cut-pro; editing; sound; video-production; 360-degree-video","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,34]","NA","English","business","business-essentials","KrFi11oSEemqqRI1NjGL6A"]
["Communication Roles","Writing","Writing Skills for Engineering Leaders","Rice University","Advanced",16.7,4.55,"https://www.coursera.org/learn/engineering-writing","Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader. You’ll learn key principles in\\n•\\tApproaching various engineering genres\\n•\\tUsing the writing process to create quality documents\\n•\\tMaking your writing structured\\n•\\tMaking your writing clear and concise\\n•\\tHandling style, tone, and voice\\n\\nSelected materials courtesy of Communication Faculty at Rice University - all rights reserved.","emailing; wordpress; punctuation; leadership; verbosity; documents; report-writing; concision; writing; integration-testing","Communication Skills for Engineers",3.0,"https://www.coursera.org/specializations/leadership-communication-engineers","Build a toolkit of communication skills that will give you the knowledge and confidence to be an effective engineering leader.\\n\\nEngineers who want to advance in their profession need to be effective communicators. They need to clearly communicate complex ideas and technical project plans. They also need to be strong persuaders. Engineers who are good communicators get recognized by their supervisors and by their clients.\\n\\nIn this three-course Specialization, you will practice designing and giving strong, persuasive presentations; you will learn how to communicate across cultures, genders, and generations, how to create your personal brand and leadership presence, how to hold effective meetings with global teams; you will learn how to handle difficult conversations, and how to handle crisis communication; you will also learn writing skills immediately applicable in your daily activities. Courses are taught by faculty from the Rice Center for Engineering Leadership (RCEL). RCEL is focused on developing engineering leaders at the Rice University’s George R. Brown School of Engineering. It is home to one of a very few academically approved Certificates in Engineering Leadership.","[9.3,27.2]","Arabic","English","business","leadership-and-management","6sk543Q6EeaRqAobOpNSMQ"]
["Communication Roles","Writing","How to Write and Publish a Scientific Paper (Project-Centered Course)","École Polytechnique","Beginner",11.3,4.39,"https://www.coursera.org/learn/how-to-write-a-scientific-paper","What you will achieve:\\nIn this project-based course, you will outline a complete scientific paper, choose an appropriate journal to which you'll submit the finished paper for publication, and prepare a checklist that will allow you to independently judge whether your paper is ready to submit.\\n\\nWhat you'll need to get started:\\nThis course is designed for students who have previous experience with academic research - you should be eager to adapt our writing and publishing advice to an existing personal project. If you just finished your graduate dissertation, just began your PhD, or are at a different stage of your academic journey or career and just want to publish your work, this course is for you. \\n\\n*About Project-Centered Courses: \\nProject-Centered Courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","peering; peer-review; writing; checklist; academic-writing; checklists; scientific-writing; software; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,15.4]","Portuguese; Russian","English","social-sciences","education","TYSbV73jEeW1WAr3aepXuw"]
["Communication Roles","Writing","Getting Started with Essay Writing","University of California, Irvine","Intermediate",14.7,4.63,"https://www.coursera.org/learn/getting-started-with-essay-writing","Course 2: Getting Started with Essay Writing\\n\\nThis is the second course in the Academic English: Writing specialization.  By introducing you to three types of academic essays, this course will especially help prepare you for work in college classes, but anyone who wants to improve his or her writing skills can benefit from this course.\\n\\nAfter completing this course, you will be able to:\\n - create effective thesis statements for your essays\\n - plan and write compare/contrast, cause/effect, and argument essays\\n - write well-developed body paragraphs\\n\\nNote: The lectures and practice activities are available for free, but you must upgrade to the pay version in order to take the quizzes and get feedback on writing assignments.","creative-writing; essay-writing; english-language; grammar; english-grammar; learning; academic-writing; writing; punctuation; integration-testing","Academic English: Writing",2.0,"https://www.coursera.org/specializations/academic-english","The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.","[9.6,17.3]","Arabic; Spanish","English","arts-and-humanities","music-and-art","HbD0pCZVEeW6YBLN1oULHQ"]
["Communication Roles","Writing","How to Write a Resume (Project-Centered Course)","The State University of New York","Intermediate",2.8,4.34,"https://www.coursera.org/learn/how-to-write-a-resume","What you’ll achieve: \\nIn this project-centered course*, you will craft an essential cornerstone of the modern-day job or internship search: the resume. You’ll review resume best practices and explore current trends with guidance from a professional career counselor and recruiter, and you’ll exchange structured feedback with your peers as you work to polish your own resume. When you complete the course, you’ll have an eye-catching resume that lets your professional strengths shine. \\n\\nWhat you’ll need to get started:\\nThis course is designed primarily for young professionals or college students who are writing their first resume or looking to give an old resume a fresh and polished professional look. All job seekers will benefit from the course material and project, however, regardless of their career stage or professional background. All you will need is word processing software that allows you to create a resume on a computer- there are free tools available. \\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded supportive learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","writing; organizing-management; career; attention; listening; employment; organizational-structure; real-estate; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.3,3.5]","Greek; French; Dutch; Spanish; Arabic; Russian","English","personal-development","personal-development","JI9lH7iAEeWddwqLXioIgw"]
["Communication Roles","Writing","Writing Winning Resumes and Cover Letters","University of Maryland, College Park","Advanced",23.5,4.72,"https://www.coursera.org/learn/resume-writing","How can you bring your resume to the top of the pile?  How can you present yourself to prospective employers using the language they already speak inside their organization? This course will give you answers to those questions.  You will learn how to convert a boring resume into a dynamic asset statement that conveys your talents in the language that an employer understands.\\n\\nAfter completing this course, you will be able to:\\n\\n1.  Identify the real purpose of a resume.\\n\\n2.  Identify relevant competencies for a position.\\n\\n3.  Adapt your resumes to Applicant Tracking Systems (resume screening software).\\n\\n4.  Write powerful and convincing accomplishment statements using your accomplishments inventory to strategically assemble the most relevant evidence of competency for a specific position.\\n\\n5.  Use the resume skills tier method to strengthen your resume.\\n\\n6.  Write summary sections and objective statements aligned to a job position.\\n\\n7.  Take advantage of web resources to find power language for your resume.\\n\\n8.  Produce a strong resume in a format  that is suitable both to your background and the position you're interested in.\\n\\n9.  Produce strong cover letters that use A.I.D.A. to help you achieve your career goals.\\n\\n10. Produce effective follow-up letters that help you stand out from the competition.","english-language; tracking-system; applicant-tracking-system; interview; cplusplus; system-c; writing; editing; tracking; r-and-d-management","Interviewing and Resume Writing in English",4.0,"https://www.coursera.org/specializations/english-interview-resume","This specialization will help you develop the English language strategies and communication skills you need to advance in your professional career. Whether you already have a successful career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, or whether you’re coming back into the world of work after some time away – if you believe in working for more than a paycheck, then this specialization will help you. The core courses cover preparing for a successful job search, including self research and research of the job market and industries of interest; strengthening your interview skills by recognizing what hiring managers are looking for and taking steps to prepare for the types of tough questions today's premier companies use; and preparing a resume, cover letter and supporting business documents. The capstone will allow you to apply the skills you learn in this specialization to your own job search.\\n\\nA key benefit of this specialization is the opportunities you'll have to practice your interviewing skills with other job-seekers from around the world. You’ll give them feedback and they’ll give you feedback. In this process, you’ll gain new insight into what makes a speaker successful and you’ll gain confidence in your English interviewing skills.","[8,35.2]","Arabic; Persian","English","business","business-essentials","5nAQCXqJEeWb-BLhFdaGww"]
["Communication Roles","Writing","Interpersonal Communication for Engineering Leaders","Rice University","Beginner",23.6,4.59,"https://www.coursera.org/learn/interpersonal-communication","This course covers communication skills that engineering leaders use every day to motivate, inspire, and support the people in their organizations. \\n\\nSpeaking and writing are basic leadership communication skills. (We covered these topics in the Specialization course 1 and 3.)  However, leaders also need to be skillful interpersonal communicators. Modern business requires communication skills that are effective across cultures, generations, and genders. Communication is also a key skill in building your personal brand. Leaders need to look, act, and speak like leaders. Another important leadership skill is the ability to handle difficult, emotional communications with employees, supervisors, and colleagues. Finally, engineers are often at the center of crisis communication.\\n\\nIn this course, you will learn\\n1. How to communicate in a global environment, \\n2. How to communicate across cultures, generations, and genders\\n3. How to use communication to build your personal brand, communicate your values, and your leadership promise\\n4. How to handle high-stakes, emotionally charged, difficult conversations with employees, supervisors and your colleagues\\n5. How to handle crisis communication\\n\\n\\nRequired Material Disclaimer- The purchase of a case study is necessary to complete this course, as it is tied to an assessment. This case is an excellent illustration of the typical business situations requiring skillful handling of difficult conversations. Currently, the cost associated with this case study is $8.95 USD and is subject to change.\\n\\nSelected materials courtesy of Communiation Faculty at Rice University - all rights reserved.","personal-advertisement; crisis; crisis-communication; writing; leadership; interpersonal-communication; meeting; personal-branding; communication-planning; communication","Communication Skills for Engineers",2.0,"https://www.coursera.org/specializations/leadership-communication-engineers","Build a toolkit of communication skills that will give you the knowledge and confidence to be an effective engineering leader.\\n\\nEngineers who want to advance in their profession need to be effective communicators. They need to clearly communicate complex ideas and technical project plans. They also need to be strong persuaders. Engineers who are good communicators get recognized by their supervisors and by their clients.\\n\\nIn this three-course Specialization, you will practice designing and giving strong, persuasive presentations; you will learn how to communicate across cultures, genders, and generations, how to create your personal brand and leadership presence, how to hold effective meetings with global teams; you will learn how to handle difficult conversations, and how to handle crisis communication; you will also learn writing skills immediately applicable in your daily activities. Courses are taught by faculty from the Rice Center for Engineering Leadership (RCEL). RCEL is focused on developing engineering leaders at the Rice University’s George R. Brown School of Engineering. It is home to one of a very few academically approved Certificates in Engineering Leadership.","[10.2,40.1]","NA","English","business","leadership-and-management","mVV7DXQ6EeaimwrXMGbqkQ"]
["Communication Roles","Writing","Technical Writing","Moscow Institute of Physics and Technology","Advanced",33.1,4.3,"https://www.coursera.org/learn/technical-writing","The course develops technical writing skills necessary to communicate information gained through a process of technical or experimental work. The course highlights the factors that determine the degree of technicality of the language and concepts involved. You will learn how to write different technical reports, e.g., laboratory reports, research reports, design and feasibility reports, progress reports, consulting reports, etc. The course also approaches several language, structure, style, and content issues that you can encounter while reporting the results of your research.","audience; technical-communication; integration-testing; academic-writing; logic; research-methods; scientific-writing; hypothesis; communication; writing","English for Research Publication Purposes",4.0,"https://www.coursera.org/specializations/english-for-research-publication-purposes","In five courses, you will acquire the knowledge and skills that are deemed to be essential to success in scientific writing. You will develop your expertise with a range of academic literacy skills and self-editing strategies to prepare a publishable manuscript that editors will take seriously. You will learn the unwritten rules of good writing to meet the requirements of modern-day research publications. You will also learn practical tools and techniques for writing an easy-to-read persuasive grant proposal and a convincing request for funding. Finally, you will gain skills necessary to communicate information obtained through a process of technical or experimental work.\\n\\nThis Specialization is the perfect first step into the world of research publications. It is designed to take your knowledge of academic writing and turn it into an in-depth understanding of current trends in scientific writing to help you get published in an international journal, win a research project grant, or report research findings. Our general goal was to make this Specialization as convenient as possible for you without sacrificing any essential content.","[11.7,56.3]","NA","English","language-learning","learning-english","4ESRQQpFEea5dwol2CF9Kw"]
["Communication Roles","Writing","Introduction to Research for Essay Writing","University of California, Irvine","Intermediate",11.4,4.67,"https://www.coursera.org/learn/introduction-to-research-for-essay-writing","Course 4: Introduction to Research for Essay Writing\\n\\nThis is the last course in the Academic Writing specialization before the capstone project. By the end of this course, you will be able to complete all the steps in planning a research paper.\\n\\nAfter completing this course, you will be able to:\\n - choose appropriate research topics for college classes\\n - write detailed outlines for research papers\\n - find source material for research papers\\n - take and organize good notes for research\\n - use appropriate academic tone and language\\n - document sources by creating a Works Cited list in MLA format\\n - avoid plagiarizing your sources","sources; grammar; statistics; learning; essay-writing; websites; academic-writing; writing; gratitude; integration-testing","Academic English: Writing",4.0,"https://www.coursera.org/specializations/academic-english","The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.","[7.1,16.4]","Hindi; Spanish; Persian","English","arts-and-humanities","music-and-art","7Sx79iWNEeWs4gorU6Q1Yw"]
["Communication Roles","Writing","Write Professional Emails in English","Georgia Institute of Technology","Beginner",12.8,4.65,"https://www.coursera.org/learn/professional-emails-english","This is a course to help you write effective business emails in English. This course is unique because each module will provide tips on writing more professional emails as well as lessons to improve your overall English writing skills. Therefore, you will improve your grammar and vocabulary skills for email writing and also improve your cross cultural knowledge to make you more powerful and successful in your business communication. You will look at different email formats to analyze tone, formality levels, and various organizational styles. You will be able to improve your emails of introduction, announcements, requests and emails that apologize or revise a request. In this course you will write and revise 4–5 emails, complete several comprehension quizzes and review the emails of other participants.  \\n\\nBy the end of this course, you will be able to \\n•\\tImprove your overall written English skills\\n•\\tSee differences and similarities among the different email formats \\n•\\tWrite more effective subject lines and email text\\n•\\tApply various key language to different types of emails\\n•\\tCorrect common errors such as punctuation and capitalization\\n•\\tStudy tone and level of formality in emails \\n•\\tUnderstand how culture affects what is appropriate in a business emails \\n•\\tWrite powerful business emails for professional needs","professional; email-writing; punctuation; english-language; email; writing; business-writing; communication; emailing; language","Improve Your English Communication Skills",1.0,"https://www.coursera.org/specializations/improve-english","This Specialization helps you improve your professional communication in English for successful business interactions. Each course focuses on a particular area of communication in English: writing emails, speaking at meetings and interviews, giving presentations, and networking online. Whether you want to communicate to potential employers, employees, partners or clients, better English communication can help you achieve your language and professional goals. The Capstone course will focus especially on making those important connections to take your career or business to the next level. Make yourself more competitive by improving your English through this Specialization: Improve Your English Communication Skills.","[7.7,15]","Slovak; Persian; Portuguese; Arabic; Chinese; Japanese; French","English","language-learning","learning-english","BK2bam0iEeW9CAqYJHF3zQ"]
["Communication Roles","Writing","Advanced Writing","University of California, Irvine","Intermediate",14.6,4.69,"https://www.coursera.org/learn/advanced-writing","Course 3: Advanced Writing\\n\\nThis is the third course in the Academic English: Writing specialization.  By raising your level of academic writing, this course helps prepare you for college-level work.\\n\\nAfter completing this course, you will be able to: \\n - plan and write a more sophisticated argument essay\\n - identify plagiarism and explain how to prevent it\\n - read and analyze several articles to form your own opinion on a topic\\n - make connections between several articles\\n - form thesis statements from your readings\\n - use sources effectively when writing an essay\\n\\nPlease note that the free version of this class gives you access to all of the instructional videos and handouts. The peer feedback and quizzes are only available in the paid version.","creative-writing; english-language; documents; essay-writing; learning; academic-writing; writing; quotation; editing; integration-testing","Academic English: Writing",3.0,"https://www.coursera.org/specializations/academic-english","The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.","[9.3,17.3]","Hindi; Arabic; German; Chinese; Vietnamese; Spanish","English","language-learning","learning-english","5c9BeiTUEeW3AhKilvRZ0Q"]
["Communication Roles","Employee Relations","Conflict Transformation","Emory University","Intermediate",15.8,4.74,"https://www.coursera.org/learn/conflict-transformation","This course introduces you to the concept of conflict transformation and how it differs from conflict resolution, management, and prevention. We’ll see how conflict offers opportunities for constructive change, and we'll explore different tools and methods for engaging conflict constructively.\\n\\nRegardless of your familiarity with the topic, you'll get insightful tips, portable handouts, lively demonstrations, and personalized assignments to bridge and enhance your own knowledge and history within the conflict narrative. In any area of your life, you'll benefit from the practical techniques and transferable information offered throughout this five-week journey.","psychologies; arbitration; communication; listening; facilitation; analysis; active-listening; interaction; psychology; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,18.4]","Arabic","English","business","business-essentials","FIMs4GViEeanZAqT_8L4Zw"]
["Communication Roles","Employee Relations","Mediation and Conflict Resolution","ESSEC Business School","Intermediate",14.6,4.56,"https://www.coursera.org/learn/conflict-resolution-mediation","Mediation is a crucial means to reaching peaceful and agreed solutions in today’s world – on an international, political, industrial, peace-keeping or social level. \\n\\nWith the course you will be able to choose and lead a mediation process. You will gain a deeper understanding of workplace and international conflict resolution. Fundamentals of Negotiation are required to complete this MOOC. You can acquire them through our MOOC \"Negotiation Fundamentals\".\\n\\nAfter this course, you will be able to: \\n\\nDefine what a mediation is and choose when to use it;\\nList different types of mediation;\\nIdentify typical challenges and difficulties that most mediators face;\\nChoose the adequate strategies within a repertoire of options;\\nIdentify the do’s and don’ts in mediation.\\n\\nThis MOOC offers video lectures from leading experts, interactive questions, case studies, practice and graded quizzes.\\n\\nDesigned as a logical follow on from the suite of ESSEC IRENE online courses in negotiation, this course about mediation and conflict resolution teaches a whole set of additional skills and approaches. Developed by one of Europe’s leading institutes of research and education in negotiation and mediation, ESSEC IRENE, this course provides you with a meaningful and effective bouquet of practical cases, tools, approaches and skills to put your mediation into high-impact practice.","speech; conflict-resolution; organizational-conflict; learning; project; organizational-structure; weighting; arbitration; negotiation; integration-testing","Negotiation, Mediation and Conflict Resolution",3.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[9.1,19.6]","German","English","business","leadership-and-management","pPsJvhv9EealIRJP087Tdw"]
["Communication Roles","Employee Relations","Relationship Management","Rice University","Beginner",18.5,4.7,"https://www.coursera.org/learn/relationship-management","To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.","leadership-development; engineering-management; meeting; leadership; customer-relationship-management; project-management; sales; management; collaboration; communication","Leadership Development for Engineers",2.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[7.2,31.8]","Vietnamese","English","business","leadership-and-management","sRAtPGhtEeab8hJTez1v6w"]
["Communication Roles","Employee Relations","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Entrepreneurship","Best Courses","Grow Your Business with Goldman Sachs 10,000 Women","Goldman Sachs","Beginner",4.9,4.87,"https://www.coursera.org/learn/gs10kw","Welcome to Grow Your Business with Goldman Sachs 10,000 Women.\\n\\nGoldman Sachs 10,000 Women is a global initiative that fosters economic growth by providing women business owners around the world with business and management education, mentoring and networking, and access to capital.\\n\\nThis introductory business course has been developed from the face-to-face program which has enabled over 10,000 women to see immediate and sustained business growth. It is designed for women business owners, running established businesses operating for more than one year, to provide the practical tools and skills required to help you grow your business. The course will enable you to develop your understanding of the three key ingredients of growth potential: you, your business, and your opportunity. \\n\\nThrough focused and tailored exercises, you will assess the strengths and weaknesses of your business and yourself as a business leader. You will also identify and refine your key opportunities for business growth. As you complete the course, you will be connecting with like-minded business owners from around the world. The course will provide you with a unique forum to share your experiences, and provide support and advice to others. \\n\\nWhat can you do after this introductory course?\\n\\nOnce you finish this introductory course, you will have the opportunity to continue your learning journey with 10,000 Women through a further 10 weeks of online learning.\\n\\nThe innovative 10-week course covers a full range of business topics from your leadership style and management structure to resource allocation and operational efficiency. You will build on what you learn in the introductory course and analyze the growth of your business further through the creation of a Business Growth Plan (BGP). The BGP is a strategic and tactical implementation tool designed to guide your business’s growth and help you to communicate your opportunity, vision, and ideas to your team, stakeholders, and customers.\\n\\nUpon successfully completing the two courses, you will be able to join the 10,000 Women alumni community and connect with a global network of past participants.","plan; decision-making; strategic-thinking; business-strategy; business-analysis; business-analytics; confidence; management; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.1,6.5]","Chinese","English","business","entrepreneurship","UDOU-36EEeebcBJbr9YsJg"]
["Entrepreneurship","Best Courses","Entrepreneurship I: Laying the Foundation","University of Illinois at Urbana-Champaign","Beginner",11.9,4.73,"https://www.coursera.org/learn/entrepreneurship-1","This course will explore the earlier stages of the entrepreneurial venture process across four modules. The modules will examine the nature of growth and error in entrepreneurial settings and how to manage resources in those settings. In addition, the modules will explore the emergence and existence of entrepreneurial opportunities, the formulation of ideas in relation to those opportunities, and how those opportunities and ideas influence entrepreneurial phenomena. Finally, the course modules will focus on how business concepts underlie compelling entrepreneurial missions that provide guidance to the evolution of a venture’s business model and future strategic planning.","value-proposition; customer; proposition; leadership; management; entrepreneurship; market-economics; product-market-fit; team-building; integration-testing","Innovation: From Creativity to Entrepreneurship",5.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[4.9,16.9]","NA","English","business","entrepreneurship","Q0xrG0dAEee_nQq6JsYrTA"]
["Entrepreneurship","Best Courses","Entrepreneurship II: Preparing for Launch","University of Illinois at Urbana-Champaign","Beginner",12.2,4.82,"https://www.coursera.org/learn/entrepreneurship-2","This course builds on previous concepts and outlines strategies and tactics for forming, financing and launching a new venture.  Topics to be addressed will include building the new venture’s initial management team, identifying and reaching out to early customers, developing financial plans, raising startup and initial growth financing, and preparing for and managing rapid growth. \\n\\nCourse objectives:\\nEntrepreneurial Team Building:  Develop an understanding of the what is required in a new venture\\nInitial Go-to-Market Strategy:  Develop a plan to identify and approach your first customers\\nFinancial Forecasting:  Building financial projections for the new venture\\nEntrepreneurial Financing:  Raising Equity Capital for the new venture\\nGrowing the Business:  Monitoring the new venture’s health and scalability","finance; stock; product; financial-forecast; need; product-business; go-to-market; go-to-market-strategy; startup-company; entrepreneurship","Innovation: From Creativity to Entrepreneurship",6.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[4.6,20.8]","NA","English","business","entrepreneurship","8Gobhe15EeawGRKJZZGEig"]
["Entrepreneurship","Best Courses","Entrepreneurship","The Chinese University of Hong Kong","Advanced",16.5,4.8,"https://www.coursera.org/learn/entrepreneurship","An entrepreneur is someone who is always on the lookout for problems that can be turned into opportunities and finds creative ways to leverage limited resources to reach their goals. In this course, learners will be introduced to the fundamental concepts, theories, and frameworks of entrepreneurship and learn how to apply them within the context of the world's largest market: China. Through cases, articles, and experiential learning, learners will gain expertise in how to identify and evaluate opportunities; interpret, analyze, and build financial models to enable high-growth ventures; practice living life as an entrepreneurial leader; and create a new product or service for the Chinese market.","product-business; well; business-model; i-deas; need; entrepreneurship; market-economics; business-plan; finance; investor","Doing Business in China",3.0,"https://www.coursera.org/specializations/doing-business-in-china","Participants will know how Chinese entrepreneurs, consumers and employees think and act, and be able to generate consumer and business insights for doing business in China. Through the use of well-designed business cases, participants will be able to apply this knowledge when they start or manage a business organization in China. Participants will be able to identify business opportunities and challenges based on nuanced understanding of the socio-political, economic, cultural, and technological environments in China, and leverage on their consumer and business insights to develop and implement culturally informed strategic plans.","[11.5,19.6]","NA","English","business","business-strategy","vvDJ410QEeaFYA4dzi3AFw"]
["Entrepreneurship","Best Courses","Financing and Profiting from Innovation for Corporate Entrepreneurs","University of Maryland, College Park","Intermediate",14.3,4.76,"https://www.coursera.org/learn/corporate-entrepreneurs-financing","This course is for aspiring or active corporate entrepreneurs who wants to understand how to secure and manage funding for their corporate venture. We will demystify key accounting and financing concepts to give corporate entrepreneurs a guide to developing the business case for their ideas, and securing funding to translate ideas into reality. \\n\\nThis course focuses on four key areas:\\n\\n• Learning the fundamentals and how to create financial statements for new ventures within the corporate environment;\\n• Examining valuation techniques for understanding how to assess and grow the value of the corporate venture;\\n• Exploring the different sources of internal and external financing for the corporate venture; and\\n• Applying lessons learned in the course to structure a funding deal and pitch the corporate venture.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-financing","pricing; investment; project; sources; finance; project-portfolio-management; innovation; corporate-bond; financial-statement; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",4.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[5.6,20.2]","NA","English","business","entrepreneurship","baZUuQruEeafmAoLZ2pYtw"]
["Entrepreneurship","Best Courses","Grow to Greatness: Smart Growth for Private Businesses, Part I","University of Virginia","Intermediate",13.8,4.75,"https://www.coursera.org/learn/uva-darden-smart-growth-strategy-1","This course focuses on challenges faced by existing private businesses when they attempt to grow substantially.","risk; plan; planning; strategic-management; process; business-intelligence; grow; management; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,17.3]","Spanish; Russian","English","business","business-strategy","EfvjN5XvEeSqQiIACyEY7w"]
["Entrepreneurship","Best Courses","Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship","University of Maryland, College Park","Beginner",11.0,4.59,"https://www.coursera.org/learn/innovative-ideas","This course assists aspiring and active entrepreneurs in developing great ideas into great companies. With strong economies presenting rich opportunities for new venture creation, and challenging economic times presenting the necessity for many to make their own job, the need to develop the skills to develop and act on innovative business opportunities is increasingly vital. \\n\\nUsing proven content, methods, and models for new venture opportunity assessment and analysis, you will learn how to:\\n\\n* Identify and analyze entrepreneurial opportunities;\\n* Enhance your entrepreneurial mindset;\\n* Improve your strategic decision-making; and \\n* Build innovative business models.\\n\\nOur goal is to demystify the startup process, and to help you build the skills to identify and act on innovative opportunities now, and in the future.\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","innovation; opportunity-identification; plan; marketing; planning; market-economics; business-plan; analysis; entrepreneurship; management","Entrepreneurship: Launching an Innovative Business",1.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[5.7,13.7]","Spanish; Portuguese; Chinese","English","business","entrepreneurship","URpKtPs6EeSnBSIACi-PoQ"]
["Entrepreneurship","Best Courses","From Idea to Startup","Technion - Israel Institute of Technology","Beginner",21.2,4.56,"https://www.coursera.org/learn/startup-entrepreneurship-from-idea-to-startup","How do you implement ideas?  \\n\\nThis course provides practical proven tools for transforming an idea into a product or service that creates value for others.  As students acquire these tools, they learn how to tell bad ideas from good, how to build a winning strategy, how to shape a unique value proposition, prepare a business plan, compare their innovation to existing solutions, build flexibility into their plan and determine when best to quit.\\n\\nAs a vital part of the course students conduct on-site interviews with entrepreneurs who have launched startups, and are eager to share their valuable insights with them.\\n\\nUpon completing this course successfully, graduates will be able to:\\n1.\\tTransform ideas into real products, services and processes, by validating the idea, testing it, and turning it into a growing, profitable and sustainable business.\\n2.\\tIdentify the major steps and requirements in order to estimate the potential of an innovative idea as the basis of an innovative project.\\n3.\\tReach creative solutions via an iteration of a virtually endless stream of world-changing ideas and strategies, integrating feedback, and learning from failures along the way.\\n4.\\tApply the 10 entrepreneurial tools in creating a business plan for a new innovative venture.\\n5.\\tApply methods and strategies learned from interviews with startup entrepreneurs and innovators. \\n6.\\tCommunicate and sell innovative ideas successfully.","iteration; viral-marketing; price-limit; asset-liability-management; empowerment; creativity; entrepreneurship","Startup Entrepreneurship",2.0,"https://www.coursera.org/specializations/startup-entrepreneurship","The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea.\\n\\nPart One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything.\\n\\nPart Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One.\\n\\nPart Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.","[8.1,26.8]","NA","English","business","entrepreneurship","FzDfHTUHEeWfzhKP8GtZlQ"]
["Entrepreneurship","Best Courses","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Entrepreneurship","Best Courses","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Entrepreneurship","Business Process Management","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Entrepreneurship","Business Process Management","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","analytics; process; business-analytics; data-uri-scheme; business-process; business-analysis; data-analysis; analysis; risk; management","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[9.1,15.6]","Chinese; Korean; Arabic","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["Entrepreneurship","Business Process Management","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["Entrepreneurship","Entrepreneurial Finance","Financing and Profiting from Innovation for Corporate Entrepreneurs","University of Maryland, College Park","Intermediate",14.3,4.76,"https://www.coursera.org/learn/corporate-entrepreneurs-financing","This course is for aspiring or active corporate entrepreneurs who wants to understand how to secure and manage funding for their corporate venture. We will demystify key accounting and financing concepts to give corporate entrepreneurs a guide to developing the business case for their ideas, and securing funding to translate ideas into reality. \\n\\nThis course focuses on four key areas:\\n\\n• Learning the fundamentals and how to create financial statements for new ventures within the corporate environment;\\n• Examining valuation techniques for understanding how to assess and grow the value of the corporate venture;\\n• Exploring the different sources of internal and external financing for the corporate venture; and\\n• Applying lessons learned in the course to structure a funding deal and pitch the corporate venture.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-financing","pricing; investment; project; sources; finance; project-portfolio-management; innovation; corporate-bond; financial-statement; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",4.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[5.6,20.2]","NA","English","business","entrepreneurship","baZUuQruEeafmAoLZ2pYtw"]
["Entrepreneurship","Entrepreneurial Finance","Building Fintech Startups in Emerging Markets","University of Cape Town","Beginner",18.3,4.75,"https://www.coursera.org/learn/building-fintech-startups","Starting a small business in an emerging market can be very rewarding. Many of entrepreneurship opportunities in emerging markets arise out of necessity, or the drive to solve a real need or a social problem. Thus emerging markets often offer huge opportunities for disruptive innovation. Entrepreneurship has contributed to economic growth and been able to respond to social problems, helping some communities prosper. With the rise of fintech, financial solutions using technologies such as the cloud, blockchain and machine learning have by-passed or partnered with established financial institutions to serve new markets. \\n\\nThis course takes us through the basics from “What is entrepreneurship?” to applying commonly used business planning tools, such as design thinking and business model canvas. Design thinking is a methodology that encourages startups to focus on user-centric products and services. There are also insights on topics like regulation, intellectual property, funding and growth that are important for startups.\\n\\nI’ve invited along experts who teach and support entrepreneurs. This includes some really interesting people in various stages of their start-up business development. We will be talking with Zlto (a digital currency), Yoco (mobile payments), Proof of Steak (alternative asset investment) and Kuba (a digital ‘middleman’ for small businesses) to name a few. \\n\\nAs we will learn, there is no such thing as being ‘ready’ or, choosing the ‘perfect time’ to become an entrepreneur. You are already one, so let’s take the next steps on your entrepreneurial journey by joining your peers around the world on this course. This course is for everyone, and not only those interested in only fintech.","financial-services; financial-technology; blockchains; machine-learning; business-model-canvas","Fintech Startups in Emerging Markets",3.0,"https://www.coursera.org/specializations/fintech-startups-emerging-markets","The University of Cape Town’s specialization will give aspiring entrepreneurs the tools to understand the technological innovations and challenges the financial services industry faces in the emerging market context. The specialization covers foundations of the changing financial regulations, new technological applications like blockchain or artificial intelligence and design thinking for startups in emerging markets. Through real-world case studies, you will see how this technology can unlock growth and spur innovation and will understand the specific emerging economies environment within which innovation can take place. This specialization is particularly suited for entrepreneurs or aspiring entrepreneurs who want to learn how they can harness the power of fintech or technology in an emerging market. You will work on a business plan for your own fintech or tech-based startup idea in the capstone project comprising a business model canvas and pitch. This allows aspiring entrepreneurs to take a tangible step towards launching their own startup.\\n\\nWatch the course trailer","[10.4,24.5]","NA","English","business","entrepreneurship","SruyQcZpEeewQAoxdmVzyg"]
["Entrepreneurship","Entrepreneurial Finance","Renewable Energy and Green Building Entrepreneurship","Duke University","Beginner",12.2,4.64,"https://www.coursera.org/learn/renewable-energy-entrepreneurship","Welcome to the course where you learn to launch a new business in the energy, finance, real estate, design, engineering, or environmental sectors, while also helping you create positive environmental and human health impacts around the world.\\n\\nWe will integrate tools, trends, and tips from the field of entrepreneurship as a career path for making a difference and generating wealth in the renewable energy and green building sectors.\\n\\nThis is not a course about theory. Instead, we focus on real world application, step-by-step advice, and case studies.\\n\\nAfter completing this course, students will be able to:\\n\\n- Define key business opportunities, challenges, and potential solutions in the renewable energy and green building sectors.\\n- Analyze a successful business in renewable energy or green building.\\n- Identify 2 to 3 problems you might solve with either renewable energy or green building products or services. \\n- Plan for engaging with investors who might finance a new business.\\n- Take real world first steps towards launching a new business or corporate initiative, by applying the 1-page business idea summary template and the Business Model Canvas to generating and refining your own new business ideas.","business-model; renewable-energy; green-building; finance; modeling; entrepreneurship; startup-company; business-modeling; team-building; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,17.3]","NA","English","business","entrepreneurship","JKMtWwjGEeeU8RLd2iRGZg"]
["Entrepreneurship","Entrepreneurial Finance","Building the Business Model for Corporate Entrepreneurs","University of Maryland, College Park","Beginner",13.6,4.63,"https://www.coursera.org/learn/corporate-entrepreneurs-business-model","Led by Dan Gordon, a University of Maryland faculty member who teaches business modeling in the National Science Foundation's I-Corps Program, this course enables you to develop and apply the Business Model Canvas tool to scope a corporate challenge or opportunity. You will learn how to identify and communicate the nine elements of a business model: Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners, and Cost Structure.\\n\\nYour completed project will be a customer-validated Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity in a corporate context. This project is derived from four areas of focus in the course:\\n\\n• Identifying how to create and deliver value for existing and future customers of the company;\\n• Learning how to extract value for the corporate venture in a sustainable fashion; \\n• Conducting in-depth interviews to guide the customer discovery process for your corporate venture; and\\n• Developing business models that encompass the product or service, customers, and economic engine that deliver on the corporate venture objectives.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-business-model","business-model; corporate-bond; project-portfolio-management; customer; intrapreneurship; enabling; market-segmentation; product-business; modeling; value-proposition","Corporate Entrepreneurship: Innovating within Corporations",2.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[8.5,20]","Romanian","English","business","entrepreneurship","UFSkjArtEeaLXQp-QzuOHQ"]
["Entrepreneurship","Entrepreneurial Finance","How to Finance and Grow Your Startup – Without VC","University of London","Intermediate",21.5,4.63,"https://www.coursera.org/learn/startup-financing-without-vc","Who? \\n\\nIf you’re an entrepreneur at any stage of your journey, or even an aspiring one, and you need money to start or grow your business, this course is for you. \\n\\nWhat? \\n\\nThis course will introduce, and help you put to use in your startup, the five models through which your customers can – and will, if you ask them! – fund your business. These five time-tested models have been put to use by entrepreneurial superstars like Michael Dell, Bill Gates, Richard Branson and more. Sadly, though, the five models are rarely talked about and not widely understood. Until now! The five models will be brought to life by the real-world stories of an inspiring collection of incredibly creative entrepreneurs from around the world – including successes and failures – through a series of captivating no-holds-barred interviews with founders and others, and investors, too. \\n\\nWhy? \\n\\nMore than two generations ago, the venture capital community – VC’s, business angels, incubators, and others – convinced the entrepreneurial world that writing business plans and raising venture capital constituted the twin centerpieces of entrepreneurial endeavor. They did so for very good reasons: the sometimes astonishing returns they’ve delivered to their investors and the incredibly large and valuable companies their ecosystem has created. But the vast majority of fast growing companies never take any angel or venture funding. Are they onto something that most of today’s entrepreneurial ecosystem has missed? Indeed, should a business angel or VC be seen as the first port of call for getting your nascent entrepreneurial venture off the ground or growing it faster? Perhaps not. \\n\\nHow? \\n\\nYou’ll be asked to do a series of exercises – out in the real world – to put your growing toolkit to use in your business or the one you hope to start. Hands-on, practical tools to help your business start and thrive – without venture capital. You’ll join our discussion board of fellow participants, if you like, and learn from others who are putting the tools to work, just as you are. And to suit today’s fast-paced lifestyles, we’ve broken what you’ll get – short lessons, interviews, thought-provoking questions, even some optional things to read – into bite-sized chunks, so you can log in and grab them whenever and wherever you are.\\n\\nAnd what else?\\n\\nIf, after checking out and perhaps completing this course, you find your company in a position where seeking venture capital turns out to be the right thing to do next, John Mullins leads an inspiring and hands-on executive education course at London Business School – this one face-to-face – called Financing the Entrepreneurial Business. There, among a room full of investors and entrepreneurs, you’ll study a series of captivating real-world cases and learn everything an entrepreneur – or an investor, for that matter – needs to know to handle the person who sits across the deal table and take an entrepreneurial business from start-up to exit. See https://www.london.edu/education-and-development/executive-education/topic/finance/financing-the-entrepreneurial-business#.WIVY_FyTQ-0 for info.","business; customer; business-plan; funds; entrepreneurship; need; venture-capital; finance; management; modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.2,24.5]","NA","English","business","entrepreneurship","W9XMEny5EeW3pg6oA-kqJQ"]
["Entrepreneurship","Entrepreneurial Finance","New Venture Finance: Startup Funding for Entrepreneurs","University of Maryland, College Park","Intermediate",16.8,4.51,"https://www.coursera.org/learn/startup-funding","This course is for aspiring or active entrepreneurs who wants to understand how to secure funding for their company. This course will demystify key financing concepts to give entrepreneurs and aspiring entrepreneurs a guide to secure funding. \\n\\nExamine the many financing options available to get your new venture funded. Learn the basics of finance, valuations, dilution and non-dilutive funding sources. Understand capital structure for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. Develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes that limit the effectiveness of the pitch, and how to ‘get to the close’. Key questions answered within the course include:\\n\\n* When to raise outside capital?\\n* What kind of investors invest by stage and where to find them?\\n* What are your fundraising options?\\n* What are the key components of the term sheet?\\n* How to perform company valuations?\\n* How to pitch to investors?\\n* What techniques help the entrepreneur ‘get to the close’?\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative 100% online program. Learn more at http://mte.umd.edu/landing.","integration-testing; corporate-bond; venture-capital; investor; investment; venture-capital-financing; finance; fundraising; corporate-finance; entrepreneurship","Entrepreneurship: Launching an Innovative Business",3.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[8,22]","NA","English","business","entrepreneurship","PifzBSv3EeWLVg5w1LoYqQ"]
["Entrepreneurship","Entrepreneurial Finance","Startup Valuation Methods","Duke University","Intermediate",16.0,4.46,"https://www.coursera.org/learn/startup-valuation-methods","How do different types of investors think about an investment opportunity? What kind of securities and contracts do they offer? How should a company decide what is a \"good deal\"? This course is designed to introduce you to the challenges and pitfalls of financing new enterprises. You will learn the basic tools for valuating companies, including using discounted cashflow analysis in Excel and understanding how to apply this model to your entrepreneurial venture. You will then learn how valuation works with different types of securities that investors use to finance startups, from bank loans to venture capital to angel investing.","venture-capital; finance; entrepreneurial-finance; angel-investor; venture-capital-financing; private-equity; stock; investor; valuation-finance; entrepreneurship","Entrepreneurial Finance: Strategy and Innovation",1.0,"https://www.coursera.org/specializations/entrepreneurial-finance","From entrepreneurs to executives, this Specialization provides an opportunity for you to learn how to advance business innovation in your company and gain insights from leading faculty in the Fuqua School of Business at Duke University.\\n\\nIn the first course, you will learn how to valuate entrepreneurial ventures—including high-growth startups—using Excel spreadsheet models. You will also learn how to discern between the tradeoffs of different financing strategies: loan investments, venture capital, angel investing, and crowdfunding.\\n\\nThe second course will teach you how to manage a startup’s financing strategy, where you will learn how to build capitalization tables (or “cap tables”) in Excel. Cap tables will help you explore different financing strategies for your startup company and determine which financing decisions are best for your entrepreneurial venture.\\n\\nThe third course transitions to an analysis of blockchain technologies, where you will learn how to identify opportunities to disrupt and innovate business models using blockchain as well as avoid poorly executed applications of blockchain to business.\\n\\nThe fourth course will teach you how to use R programming to calculate the return of a stock portfolio as well as quantify the market risk of that portfolio.\\n\\nThis Specialization is also an excellent opportunity for professionals interested in Fuqua’s master’s programs to get an inside look into Fuqua’s faculty expertise and courses.","[9.3,25.8]","NA","English","business","finance","25trttO0Eei47RIrue0xzg"]
["Entrepreneurship","Entrepreneurial Finance","Innovation & Entrepreneurship - From Design Thinking to Funding","EIT Digital","Advanced",28.1,4.46,"https://www.coursera.org/learn/design-thinking-entrepreneurship","This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.  Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.  Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.  This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea.  An emphasis will be placed on the IT space.\\n\\nIn this second part, From Design Thinking to Funding, the following areas are included: design thinking; innovation cycle process; business modeling; and funding.","design-thinking; customer; innovation; interior-design; funds; modeling; business-model; thought; product; entrepreneurship","Value Creation Through Innovation",3.0,"https://www.coursera.org/specializations/value-creation-innovation","This specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.","[13.4,45.2]","Arabic","English","business","entrepreneurship","27_khHs4EeaXRRKK7mMjqw"]
["Entrepreneurship","Innovation","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Entrepreneurship","Innovation","Becoming a changemaker: Introduction to Social Innovation","University of Cape Town","Beginner",19.7,4.8,"https://www.coursera.org/learn/social-innovation","This free 6 week course is for anyone who wants to make a difference. Whether you are already familiar with the field of social innovation or social entrepreneurship, working for an organization that wants to increase its social impact, or just starting out, this course will take you on a journey of exploring the complex problems that surround us and how to start thinking about solutions. \\n \\nWe will debunk common assumptions around what resources are needed to begin acting as a social innovator. We will learn from the numerous examples of social innovations happening all over the world. You will be challenged to get out of your comfort zone and start engaging with the diverse spaces around you. By the end of the course, you will have formed your own approach to social innovation, and you will have begun to develop the concepts, mindset, skills, and relationships that will enable you to start and evolve as a changemaker.\\n\\nYou will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee.\\n\\nThe Bertha Centre for Social Innovation and Entrepreneurship co-created this course with RLabs, a social movement ‘born-and-bred’ in Bridgetown, Cape Town that is now active in 22 countries. The movement empowers youth through innovative and disruptive technology by teaching them vital skills and providing much needed support and a sense of community.  Advocating and supporting initiatives such as RLabs forms part of the Bertha Centre’s mandate. The Centre is a specialised unit at University of Cape Town’s Graduate School of Business, and is the first academic centre in Africa dedicated to advancing social innovation and entrepreneurship.\\n\\nYou can view the course trailer at www.youtube.com/watch?v=TcWYG64WO20\\nTweet about this course using the hashtag #socinnMOOC","resource; innovation; sustainability; systems-thinking; thought; design-thinking; social-entrepreneurship; management; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.6,22.4]","NA","English","business","entrepreneurship","XczDJRhBEeaUCRJWL-pjpQ"]
["Entrepreneurship","Innovation","Financing and Profiting from Innovation for Corporate Entrepreneurs","University of Maryland, College Park","Intermediate",14.3,4.76,"https://www.coursera.org/learn/corporate-entrepreneurs-financing","This course is for aspiring or active corporate entrepreneurs who wants to understand how to secure and manage funding for their corporate venture. We will demystify key accounting and financing concepts to give corporate entrepreneurs a guide to developing the business case for their ideas, and securing funding to translate ideas into reality. \\n\\nThis course focuses on four key areas:\\n\\n• Learning the fundamentals and how to create financial statements for new ventures within the corporate environment;\\n• Examining valuation techniques for understanding how to assess and grow the value of the corporate venture;\\n• Exploring the different sources of internal and external financing for the corporate venture; and\\n• Applying lessons learned in the course to structure a funding deal and pitch the corporate venture.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-financing","pricing; investment; project; sources; finance; project-portfolio-management; innovation; corporate-bond; financial-statement; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",4.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[5.6,20.2]","NA","English","business","entrepreneurship","baZUuQruEeafmAoLZ2pYtw"]
["Entrepreneurship","Innovation","Strategic Management of Innovation","HEC Paris","Advanced",26.5,4.74,"https://www.coursera.org/learn/strategic-management-of-innovation","This course will prepare you for making strategic decisions specifically about innovation. It will give you an understanding of why firms innovate, why and how they compete on innovation, and what role innovation plays in shaping the strategic decisions of companies. You will learn how to source innovation, the types and patterns of innovation, how to compete in dynamic standards battles and how to gain dominance, how to protect innovation from imitation, and the crucial  question of  timing - a new product launch and market entry.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program.","strategic-management; innovation; design-thinking; intellectual-property; externality; intellectual; learning; innovation-management; dotproperties; management","Managing Innovation and Design Thinking",2.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[14.3,27.6]","French","English","business","business-strategy","dtgcJC_lEee0Rg7CP08obA"]
["Entrepreneurship","Innovation","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Entrepreneurship","Innovation","Creativity Toolkit II: Creative Collaboration","University of Illinois at Urbana-Champaign","Intermediate",12.4,4.73,"https://www.coursera.org/learn/creativity-toolkit-2","Creativity requires us to collaborate with others. This course is designed to make you a better creative collaborator. Creativity can require us to bring together knowledge from different areas, often known by different people. We need to foster effective collaboration rather than have those differences lead to misunderstandings and conflict. The ideas that we generate, individually or collectively, will be evaluated by others, such as bosses, funders, and customers. These audiences will likely have different concerns when they hear about your ideas and are likely to evaluate ideas differently than you do. We need to pitch our ideas in ways that get others excited about them, rather than bored or confused, so that we can expand the group of collaborators in our creative efforts.","i-deas; collaboration; evaluation; process; innovation; creativity; disruptive-innovation; entrepreneurship; integration-testing; team-building","Innovation: From Creativity to Entrepreneurship",4.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.7,18.5]","Arabic","English","business","entrepreneurship","vsWg0O14EeaYjA7dKZw2fg"]
["Entrepreneurship","Innovation","Boosting Creativity for Innovation","HEC Paris","Advanced",29.5,4.73,"https://www.coursera.org/learn/boosting-creativity-innovation","Successful contemporary business relies on the ability of all its employees to be creative. Creativity can be developed and refined, albeit with effort and practice. The first goal of this course is to provide a variety of experiences and activities with the aim of developing the creative abilities of each participant. A second goal is to understand the importance of creativity from a consumer perspective. Consumers are being offered more and more opportunities to customize their products and services, and are increasingly seeking to express their creativity through their purchasing choices. As entrepreneurs, we have the ability to shape the consumer environment in ways that help consumers enhance their own creative abilities, and develop a unique relationship with them as a result.\\n\\nThis course is aimed at anyone who wants to understand what we actually know (as opposed to what we think we know) about human creativity, and how to use this knowledge to think differently and productively about business challenges. As the focus is on creativity as a cognitive function, it does not matter what your background is, what industry you come from or want to enter.   \\n\\nAfter completing this course, past students report having acquired a set of strategies that enable them to tackle business problems with a fresh perspective.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program","design-thinking; boosting-machine-learning; functional-fixedness; innovation; creativity; product-development; out-of-the-box-feature; product-business; integration-testing; product","Managing Innovation and Design Thinking",1.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[13.4,47.7]","French","English","business","entrepreneurship","W5mm5_tfEeaVgA4fbAXgRA"]
["Entrepreneurship","Innovation","Creativity Toolkit I: Changing Perspectives","University of Illinois at Urbana-Champaign","Intermediate",15.4,4.7,"https://www.coursera.org/learn/creativity-toolkit-1","Thinking and doing the same things faster and better is not enough; we need creativity. Fortunately, creativity is a skill you can learn. This course will examine when, why, and how we can be creative. It examines the cues that trigger us to consider being creative. It provides a road map of the creative process – the process of changing our perspectives – and the kinds of outcomes that result from creativity. It examines how we can go through the creative process more efficiently and more effectively by examining what is changing about our thinking and how we can make those changes. The end result is more flexible thinking that can be used to recognize and develop new opportunities.","creativity; strategic-planning; process; mind-map; uncertainty; learning; innovation; creative-writing; entrepreneurship; integration-testing","Innovation: From Creativity to Entrepreneurship",3.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[6.4,25.2]","Arabic","English","business","entrepreneurship","gjwSt8CPEea6Aw7w3S-LDA"]
["Entrepreneurship","Innovation","Innovation Through Design: Think, Make, Break, Repeat","The University of Sydney","Intermediate",10.3,4.67,"https://www.coursera.org/learn/innovation-through-design","The evolution of design has seen it become a discipline no longer limited to the concerns of a singular, specific domain and develop to become a pathway for solving complex, nonlinear problems. Design is becoming a capability-enhancing skill, equipping people with the ability to deal with uncertainty, complexity and failure. \\n\\nIn this course, we demonstrate how you can use design as a way of thinking to provide strategic and innovative advantage within your profession. Suitable for anyone who is curious about design and translating the processes and tools of design thinking into innovative opportunities, over 5 weeks we explore, apply and practice the design process: think, make, break and repeat.\\n\\nThrough introducing theoretical concepts and examining industry case studies with leading Australian design firms, we investigate design as learning about the context (the thinking part), building prototypes as tangible representations (the making part) and testing potential solutions (the breaking part). We build on this by showing the productive value of moving through the process quickly and often (the repeating part), to improve ideas and develop new insights. \\n\\nThroughout the course, you will follow us through three of Australia’s most exciting design offices and learn from practicing designers and leaders in design. This insight into industry will enable you to develop a comprehensive understanding of design and the role it can and does play within the innovation landscape. You will leave this course with a set of practical tools and techniques to apply to situations within your own professional context, to translate problems into opportunities and solutions, and ultimately to innovate through design.","design-thinking; evaluation; instructional-design; innovation; process; innovation-management; communication; principle; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13.3]","NA","English","business","entrepreneurship","whpzQq-kEeeI4Q6L0-Nv9g"]
["Entrepreneurship","Innovation","Innovation Management","Erasmus University Rotterdam","Beginner",17.2,4.65,"https://www.coursera.org/learn/innovation-management","What is innovation management? How do firms bring in new business models and get new products and services to the market? Go on a nine-week journey through innovation management concepts, theories of idea generation, selection, strategy formulation and implementation in this MOOC in Innovation Management. In it, you will also learn the tools for implementing innovation projects yourself. \\n\\nGuided by world-class academics, you will develop an innovative mindset and expertise in how firms successfully create new ideas for marketing new products. The syllabus also includes sessions about innovation strategy, idea management and social networks.\\n\\nDuring this course, you will learn how to:\\n•\\tuse the main innovation management terminology and concepts\\n•\\texplain the adoption life cycle and innovation adoption at the individual level\\n•\\tdefine creativity and explain how creativity can be stimulated\\n•\\trecognise and describe three types of idea management systems\\n•\\texplain what an innovation strategy is and why it is important\\n•\\tdescribe what a product portfolio is \\n•\\texplain how innovation projects should be selected and managed\\n•\\texplain the importance of teams, team structures and networks for innovation.\\n\\nRotterdam School of Management, Erasmus University (RSM) is one of Europe’s leading business schools, and ranked among the top three for research. RSM’s primary focus is on developing business leaders with international careers who carry their innovative mindset into a sustainable future. Go to www.rsm.nl for more information.\\n\\nThis nine-week MOOC in Innovation Management is taught in English. There is no fee to participate in the programme.","product; i-deas; management; project; social-network; innovation; creativity; disruptive-innovation; product-business; innovation-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,19.5]","Vietnamese","English","business","business-strategy","_3l2SpONEeW2aQ7olstw0Q"]
["Entrepreneurship","Innovation","Creating Innovation","Macquarie University","Beginner",24.9,4.64,"https://www.coursera.org/learn/creating-innovation","The third course of the specialization CREATING INNOVATION will teach you what is at the core of all innovations that solve complex problems and how to foster methods to make big breakthroughs possible. It advances your knowledge of your own field by teaching you to look at it in new ways.\\n\\nCREATING INNOVATION is constructed in the following way: Week I. “What is Innovation?” – What lies at the core of all innovations. Week II. “The Evolution of Human Creativity” – How humans developed the ability to innovate and think creatively. Week III. “Innovation in a Complex Global Network” – How innovations emerge from human networks. Week IV. “Planning Innovation” – How organisations seek out and create the right conditions for new breakthroughs. Week V. “Market Innovation” – What makes innovations more likely to emerge in a market setting. Week VI. “Innovation in the Anthropocene” – How innovations are crucial to meet the problems of the 21st century.","problem-solving; psychology; innovation; market-economics; economics; problem-solving-methods; demand; systems-thinking; continuous-function; global-network","Solving Complex Problems",3.0,"https://www.coursera.org/specializations/solving-complex-problems","SOLVING COMPLEX PROBLEMS will teach you revolutionary new problem-solving skills. Involving lectures from over 50 experts from all faculties at Macquarie University, we look at solving complex problems in a way that has never been done before.\\n\\nThis specialization uses the framework of Big History which synthesizes knowledge across the sciences and the humanities, and provides a powerful foundation to think and research in new ways. Big History has been embraced as an important global framework by the World Economic Forum (WEF). Presentations at WEF by Professor David Christian, one of the creators of this specialization, have included ‘Interdisciplinary Approaches to Solving 21st Century Challenges’ (Davos 2012), ‘Big History for Big Picture Thinking’ (Davos 2014), and ‘Big History, Big Decisions’ (Tianjin 2014). In 2015, the WEF Annual Meeting in Davos had four sessions devoted to Big History including three interdisciplinary ‘Big History, Big Future’ panels on cooperation, innovation, and global growth and stability. These interdisciplinary discussion panels were the inspiration for this Solving Complex Problems Specialization.","[8.1,36]","NA","English","business","leadership-and-management","rze8QETfEeawjgp7XHTShQ"]
["Entrepreneurship","Innovation","Surviving Disruptive Technologies (On Demand)","University of Maryland, College Park","Intermediate",8.0,4.59,"https://www.coursera.org/learn/surviving-disruptive-technologies","The purpose of this course is to help individuals and organizations survive when confronted with disruptive technologies that threaten their current way of life.  We will look at a general model of survival and use it to analyze companies and industries that have failed or are close to failing.  Examples of companies that have not survived include Kodak, a firm over 100 years old, Blockbuster and Borders.   It is likely that each of us has done business with all of these firms, and today Kodak and Blockbuster are in bankruptcy and Borders has been liquidated.  Disruptions are impacting industries like education; Coursera and others offering these massive open online courses are a challenge for Universities.  In addition to firms that have failed, we will look at some that have survived and are doing well.  What are their strategies for survival?\\n\\nBy highlighting the reasons for the decline of firms and industries, participants can begin to understand how to keep the same thing from happening to them.   Through the study of successful organizations, we will try to tease out approaches to disruptions that actually work.  Our ultimate objective is to develop a strategy for survival in a world confronting one disruptive technology after another.","inspection; planning; innovation; information-technology-planning; risk; modeling; social-media; demand; maintenance; disruptive-innovation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5,8.9]","NA","English","business","leadership-and-management","aLT8b2rnEeak0hLPfPzoPw"]
["Entrepreneurship","Innovation","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Entrepreneurship","Innovation","Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship","University of Maryland, College Park","Beginner",11.0,4.59,"https://www.coursera.org/learn/innovative-ideas","This course assists aspiring and active entrepreneurs in developing great ideas into great companies. With strong economies presenting rich opportunities for new venture creation, and challenging economic times presenting the necessity for many to make their own job, the need to develop the skills to develop and act on innovative business opportunities is increasingly vital. \\n\\nUsing proven content, methods, and models for new venture opportunity assessment and analysis, you will learn how to:\\n\\n* Identify and analyze entrepreneurial opportunities;\\n* Enhance your entrepreneurial mindset;\\n* Improve your strategic decision-making; and \\n* Build innovative business models.\\n\\nOur goal is to demystify the startup process, and to help you build the skills to identify and act on innovative opportunities now, and in the future.\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","innovation; opportunity-identification; plan; marketing; planning; market-economics; business-plan; analysis; entrepreneurship; management","Entrepreneurship: Launching an Innovative Business",1.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[5.7,13.7]","Spanish; Portuguese; Chinese","English","business","entrepreneurship","URpKtPs6EeSnBSIACi-PoQ"]
["Entrepreneurship","Innovation","What’s Your Big Idea?","The University of North Carolina at Chapel Hill","Advanced",16.8,4.56,"https://www.coursera.org/learn/big-ideas","Whether your interest lies in solving the world’s biggest problems, creating the next commercial success or addressing something closer to home, this course will give you a toolbox to vet your ideas and test them in the real world.","listening; business-model; product; analysis; lean-startup; intellectual-property; integration-testing; risk; modeling; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,22.2]","Spanish","English","business","business-strategy","qu8u8vqKEeSDoyIAC1CH0g"]
["Entrepreneurship","Innovation","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Entrepreneurship","Innovation","Innovation & Entrepreneurship - From Basics to Open Innovation","EIT Digital","Advanced",38.8,4.47,"https://www.coursera.org/learn/open-innovation-entrepreneurship","This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.  Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.  Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.  This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea.  An emphasis will be placed on the IT space.\\n\\nIn this first part, From Basics to Open Innovation, the following areas are included: innovation and entrepreneurship basics; the Silicon Valley entrepreneurship model; the importance of failure; market analysis: how to engage with customers; and open innovation.","customer; market-economics; product-business; sustainability; innovation; market-segmentation; open-innovation; teaching; scrum-software-development; entrepreneurship","Value Creation Through Innovation",2.0,"https://www.coursera.org/specializations/value-creation-innovation","This specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.","[15.9,62.8]","Arabic","English","business","entrepreneurship","yq6ZPOvGEeWvGQrWsIkLlw"]
["Entrepreneurship","Innovation","Innovation & Entrepreneurship - From Design Thinking to Funding","EIT Digital","Advanced",28.1,4.46,"https://www.coursera.org/learn/design-thinking-entrepreneurship","This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.  Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.  Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.  This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea.  An emphasis will be placed on the IT space.\\n\\nIn this second part, From Design Thinking to Funding, the following areas are included: design thinking; innovation cycle process; business modeling; and funding.","design-thinking; customer; innovation; interior-design; funds; modeling; business-model; thought; product; entrepreneurship","Value Creation Through Innovation",3.0,"https://www.coursera.org/specializations/value-creation-innovation","This specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.","[13.4,45.2]","Arabic","English","business","entrepreneurship","27_khHs4EeaXRRKK7mMjqw"]
["Entrepreneurship","Market Research","Foundations of Business Strategy","University of Virginia","Beginner",14.0,4.7,"https://www.coursera.org/learn/uva-darden-foundations-business-strategy","Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, we will explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps.","porters-five-forces-analysis; analysis; competitiveness; swot-analysis; capability-analysis; competitor-analysis; industry-analysis; strategic-analysis; business-strategy; management","Business Strategy",1.0,"https://www.coursera.org/specializations/business-strategy","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.4,16.7]","Vietnamese; Portuguese","English","business","business-strategy","a3f86i8hEeWv_w7cMMH1Uw"]
["Entrepreneurship","Market Research","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Entrepreneurship","Market Research","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Entrepreneurship","Market Research","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","Non Specialization","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Entrepreneurship","Market Research","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Entrepreneurship","Market Research","Digital Analytics for Marketing Professionals: Marketing Analytics in Theory","University of Illinois at Urbana-Champaign","Beginner",12.9,4.5,"https://www.coursera.org/learn/marketing-analytics","Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing-analytics; data-analysis; moment-of-truth-marketing; analysis; marketing; digital-marketing; analytics; web-analytics; web; management","Digital Marketing",2.0,"https://www.coursera.org/specializations/digital-marketing","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[8,15]","NA","English","business","marketing","u_Rrw_tfEeSuiSIACwuNww"]
["Entrepreneurship","Market Research","Research Proposal: Initiating Research","University of California, Davis","Beginner",11.4,4.43,"https://www.coursera.org/learn/research-proposal-initiating-research","Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.\\n\\nIn this course, you will be able to define market research and identify some tools used in the industry. You will be able to discuss the importance of secondary and internal research in terms of the planning process. You will be able to define what primary research is and identify the various ways to conduct primary research. You will be able to focus on an actual research plan or proposal for your peer review project. You will be able to compose a response to a request for a proposal or research plan and be able to address the various components of the proposal and package it in a professional manner.","marketing-research; marketing-research-mix; marketing; market-economics; request-for-proposal; proposal-writing; primary-research; internality; writing; market-research","Market Research",1.0,"https://www.coursera.org/specializations/market-research","Finding the Story in the Data” is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data.\\n\\nStudents will learn how to initiate a research project for targeted business needs, conduct research through multiple modes and datasets, analyze research data, manage suppliers performing specialized research, and deliver recommendations from the research. By the end of the specialization, learners will create and scope a research proposal, conduct desk research, design and test a focus group guide, interpret focus group results, design and implement a survey in Qualtrics, analyze quantitative data, develop insights by synthesizing findings across research methods, create data visualizations in Excel, and develop a presentation of findings with recommendations to stakeholders.\t[6.7,13.6]\nMarket Research\t2\thttps://www.coursera.org/specializations/market-research\tFinding the Story in the Data” is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data.\\n\\nStudents will learn how to initiate a research project for targeted business needs, conduct research through multiple modes and datasets, analyze research data, manage suppliers performing specialized research, and deliver recommendations from the research. By the end of the specialization, learners will create and scope a research proposal, conduct desk research, design and test a focus group guide, interpret focus group results, design and implement a survey in Qualtrics, analyze quantitative data, develop insights by synthesizing findings across research methods, create data visualizations in Excel, and develop a presentation of findings with recommendations to stakeholders.","[6.7,13.6]","Arabic","English","business","marketing","vq2XwnQ-EeWLqw7zlLhRzQ"]
["Entrepreneurship","Market Research","Positioning: What you need for a successful Marketing Strategy","IE Business School","Intermediate",11.7,4.43,"https://www.coursera.org/learn/positioning","Positioning is the heart of any Marketing Strategy, the core that you must get right. It does not matter whether you start with a clearly defined target group or with a differential value proposition: you will need end up with a clear segment or segments upon which we build our Marketing Plan.\\n\\nIn this course - the second in our Marketing Strategy Specialization - IE professor Ignacio Gafo will guide you through the essential stages of this key marketing process, starting with the basic elements that you will require and deciding on the market segmentation and marketing. The course progresses to examine the key market trends that you will encounter and will provide you with a handy practical toolbox of skills.\\n\\nThe course features interviews with industry professionals as well as on location videos where we quiz members of the public on their attitude towards this key concept.  After this course you will be in no doubt of where to position your product and which segment you are going to attempt to attract.","market-segmentation; proposition; process; marketing-process; target-audience; market-economics; marketing; marketing-strategy; positioning-marketing; value-proposition","Marketing Strategy",2.0,"https://www.coursera.org/specializations/marketing-strategy","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[5.7,17.1]","NA","English","business","marketing","p47P8W3pEeWG0w42Sx-Gkw"]
["Entrepreneurship","Market Research","How to Validate your Startup Idea","UNSW Sydney (The University of New South Wales)","Na",6.8,4.39,"https://www.coursera.org/learn/startup-idea","Starting a new business begins with an idea that needs to evolve through experimentation, iteration and interactions with people. This course is for existing and potential entrepreneurs who are looking for guidance and support to make their ‘great idea’ a reality. In addition to reviewing the basic principles of entrepreneurship, this course guides you through the process of actively validating your idea in the market. We encourage you to identify and communicate good opportunities and to create and capture value from these opportunities. By working through the course and completing the activities you’ll learn how to get feedback that systematically tests different parts of your business idea. You will learn how to do this through interacting with potential customers, suppliers, partners and investors outside the course. Along the way, you will also become more confident in pitching your idea. By the end of the course you should have a validated business idea that you can start right away.","i-deas; value-proposition; investment; sales-support; lean-startup; customer; sales; proposition; communication; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[2.2,10.2]","NA","English","business","entrepreneurship","zwVdMU1HEeWxCwowHhzTpQ"]
["Entrepreneurship","Market Research","Innovation for Entrepreneurs: From Idea to Marketplace","University of Maryland, College Park","Beginner",11.7,4.35,"https://www.coursera.org/learn/innovative-entrepreneur","Develop insights on navigating the innovation process from idea generation to commercialization. Build knowledge on how to create strategies to bring innovations to market. Develop an innovation portfolio and business model canvas for your venture.\\n\\nWe establish a framework for examining the innovation process, and quickly transition into exploring how to successfully bring innovations to market. Key questions answered within the course include: \\n\\n* What are the key indicators of innovation opportunities?\\n* What steps are critical for entrepreneurs to bring innovations to the marketplace?\\n* What innovation strategies are valuable for new ventures to establish and maintain a competitive advantage?\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","product-business; business-model; value-proposition; modeling; customer; proposition; marketing; innovation; market-economics; management","Entrepreneurship: Launching an Innovative Business",2.0,"https://www.coursera.org/specializations/business-entrepreneurship","Non Specialization","[6.4,13.3]","Vietnamese","English","business","entrepreneurship","mn-McyvqEeWccAqzeA4VPw"]
["Entrepreneurship","Market Research","Qualitative Research","University of California, Davis","Beginner",13.2,4.33,"https://www.coursera.org/learn/qualitative-research","In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis.\\n\\nWeek 1: Define qualitative research and how it differs from quantitative research. Explore the various qualitative research methods and evaluate when and how to use them for your research project.\\n\\nWeek 2: Design the qualitative instruments necessary for your interviews or focus groups, and plan your recruitment efforts. Write questions and prompts to ask in an interview or focus group. Design a moderator guide and a screening questionnaire to use when recruiting your participants.\\n\\nWeek 3: Recruit participants for your focus group and apply techniques to ensure they show up and participate. Act as a moderator during your focus group and apply strategies to handle various types of situations. Probe responses and engage participants in a group discussion, while collecting qualitative data and keep the discussion moving.\\n\\nWeek 4: Organize and analyze the data you have collected. Transcribe the audio from your focus group or interview and interpret your notes. Write a focus group report that can be presented to your stakeholders and see how this information might relate to your quantitative research.  \\n\\nTake Qualitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the first course in this specialization, Research Report: Initiating Research, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","market-research; qualitative-research; best-practice; recruiting; marketing-research; plan; market-economics; focus-group; interpretation; quantitative-research","Market Research",2.0,"https://www.coursera.org/specializations/market-research","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[6.1,18.4]","NA","English","business","marketing","wpuvI4QzEeaT3g7PD2zpfw"]
["Entrepreneurship","Market Research","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Entrepreneurship","Organizational Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Entrepreneurship","Organizational Development","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Entrepreneurship","Organizational Development","Designing the Organization","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.55,"https://www.coursera.org/learn/designing-organization","Organizations are complex and can be difficult to manage well.  So managers need tools to help them better understand and deal with the many complexities and challenges associated with organizational life.  In this course, you will learn theories, principles, and frameworks that will help you to design more effective organizations.  We will view organizations from different perspectives that we will use as lenses to help us bring common organizational challenges, and solutions to those challenges, into focus.  Some of these common challenges include clarifying the organization’s purpose, setting up effective governance systems, measuring organizational effectiveness, choosing an appropriate organizational structure, dealing with growing pains, and responding to changes outside the organization.  As you learn and apply the principles from this course, you will be better prepared to effectively navigate the challenges that you face in your own organization.","business-model; organizational-structure; organization-design; organizational-theory; strategic-management; corporate-bond; management; analysis; leadership; modeling","Strategic Leadership and Management",3.0,"https://www.coursera.org/specializations/strategic-leadership","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[10.1,19.5]","NA","English","business","leadership-and-management","yEfdpZz9EeWlGQ5Xb9b0kw"]
["Entrepreneurship","People Development","Managing the Company of the Future","University of London","Beginner",18.6,4.77,"https://www.coursera.org/learn/company-future-management","The aim of the course is to provide you with a comprehensive framework for understanding both the traditional principles of management inside companies today as well as the alternative principles that are becoming increasingly important. It provides both theoretical and practical perspectives on the nature of management in today’s organisations.","organization-design; leadership; strategic-management; corporate-governance; management-theory; modeling; communication; management; motivation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21]","Arabic","English","business","leadership-and-management","bzhAuJ9sEeWJORITtzkPnQ"]
["Entrepreneurship","People Development","The Manager's Toolkit: A Practical Guide to Managing People at Work","University of London","Beginner",10.0,4.6,"https://www.coursera.org/learn/people-management","The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. \\n\\nAt the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.","interview; conflict-resolution; organizational-conflict; performance; decision-making; performance-management; resource; human-resources; leadership; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,12.6]","NA","English","business","leadership-and-management","Wv_qFVYzEeWKXg4Y7_tPaw"]
["Entrepreneurship","People Development","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Entrepreneurship","People Management","Grow Your Business with Goldman Sachs 10,000 Women","Goldman Sachs","Beginner",4.9,4.87,"https://www.coursera.org/learn/gs10kw","Welcome to Grow Your Business with Goldman Sachs 10,000 Women.\\n\\nGoldman Sachs 10,000 Women is a global initiative that fosters economic growth by providing women business owners around the world with business and management education, mentoring and networking, and access to capital.\\n\\nThis introductory business course has been developed from the face-to-face program which has enabled over 10,000 women to see immediate and sustained business growth. It is designed for women business owners, running established businesses operating for more than one year, to provide the practical tools and skills required to help you grow your business. The course will enable you to develop your understanding of the three key ingredients of growth potential: you, your business, and your opportunity. \\n\\nThrough focused and tailored exercises, you will assess the strengths and weaknesses of your business and yourself as a business leader. You will also identify and refine your key opportunities for business growth. As you complete the course, you will be connecting with like-minded business owners from around the world. The course will provide you with a unique forum to share your experiences, and provide support and advice to others. \\n\\nWhat can you do after this introductory course?\\n\\nOnce you finish this introductory course, you will have the opportunity to continue your learning journey with 10,000 Women through a further 10 weeks of online learning.\\n\\nThe innovative 10-week course covers a full range of business topics from your leadership style and management structure to resource allocation and operational efficiency. You will build on what you learn in the introductory course and analyze the growth of your business further through the creation of a Business Growth Plan (BGP). The BGP is a strategic and tactical implementation tool designed to guide your business’s growth and help you to communicate your opportunity, vision, and ideas to your team, stakeholders, and customers.\\n\\nUpon successfully completing the two courses, you will be able to join the 10,000 Women alumni community and connect with a global network of past participants.","plan; decision-making; strategic-thinking; business-strategy; business-analysis; business-analytics; confidence; management; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[2.1,6.5]","Chinese","English","business","entrepreneurship","UDOU-36EEeebcBJbr9YsJg"]
["Entrepreneurship","People Management","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Entrepreneurship","People Management","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","Non Specialization","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Entrepreneurship","Planning","Action-Driven Business Plan: From the ‘Classroom’ to the World","Technion - Israel Institute of Technology","Beginner",14.8,5.0,"https://www.coursera.org/learn/startup-entrepreneurship-capstone","Action-Driven Business Plan: From the ‘Classroom’ to the World is a capstone project, that requires you, our learner, to pull together all you will have learned in the three courses that comprise the \"Startup Entrepreneurship\" Specialization. This course is in fact the culmination of the process designed to provide you with the opportunity to demonstrate what you have learned on a real-world project of your choice.\\n\\nDuring the following six weeks you will gradually create, improve and refine your business plan, moving from one milestone to another. Each week will begin with a short note from Prof. Maital, explaining what the current phase is about and providing you with points to consider while working on the assignments.  We encourage you to practice what you have learned using the self-assessment practice quizzes and brainstorm with your peers in the weekly forums.\\n\\nDuring the first week you will create a non-business plan as an initial step towards creating your business plan. In weeks two, three and five, you will be required to submit three assignments for peer evaluation, which will help you to prepare your final business plan. At the end of the course you will prepare and submit your completed business plan and an effective two-minute video describing your idea. Your business plan will include the following sections:  The Need, the Product, Unique Features, The Market and Future Developments, a Gantt chart and a project budget.","plan; gantt-chart; project; business-plan; technical-analysis; product-business; writing","Startup Entrepreneurship",4.0,"https://www.coursera.org/specializations/startup-entrepreneurship","Non Specialization","[9.4,18.2]","Romanian","English","business","entrepreneurship","tQKglHsBEeWb-BLhFdaGww"]
["Entrepreneurship","Planning","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea.\\n\\nPart One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything.\\n\\nPart Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One.\\n\\nPart Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Entrepreneurship","Planning","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","Non Specialization","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Entrepreneurship","Planning","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Entrepreneurship","Planning","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Entrepreneurship","Planning","Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)","University System of Georgia","Beginner",12.2,4.51,"https://www.coursera.org/learn/business-model-canvas","What you’ll achieve:\\nIn this project-centered course*, you will use the Business Model Canvas innovation tool to approach either a personal or corporate challenge or opportunity. You’ll learn to identify and communicate the nine key elements of a business model: Customer Segments, Value Proposition, Channels, Customer Relationships, Key Resources, Key Activities, Key Partners, Revenue Streams, and Cost Structure.\\n\\nYour completed project will be a polished Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity. You’ll present your case in both a one-page document and a 10-minute video presentation.\\n\\nWhat you need to get started:\\nThis project-centered course is designed for anyone who wants to understand innovation best practices and the intra-corporate entrepreneurial (intrapreneur) skills needed to lead innovation projects, teams, and strategies. Entry- and senior-level professionals in a variety of industries - including education, healthcare, business, and not-for-profit - will benefit from the course materials and project experience. The only prerequisite is a strong desire to understand best practices in innovation and to master the skills needed to transform a new idea into a profitable reality.\\n\\nTo complete the project, you’ll need to access the Business Model Canvas from either the Kauffman Foundation (http://www.entrepreneurship.org) or Strategyzer.com (http://www.Strategyzer.com), or via the Creative Commons license offered by Strategyzer AG (http://www.businessmodelgeneration.com/downloads/business_model_canvas_poster.pdf).\\n\\n*About Project-Centered Courses: Coursera's project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","modeling; business-model; business-plan; business-model-canvas; project; proposition; value-proposition; plan; business-modeling; integration-testing","Non Specialization","Non Specialization","Non Specialization","In this specialization you will learn how to create societal impact through Social Entrepreneurship. Social Entrepreneurship describes the discovery and sustainable exploitation of opportunities to create social change. We will introduce you to examples of Social Entrepreneurship and guide you through the process of establishing a venture to address a social or environment problem. You will form of team and study a problematic issue to learn more about the source of the problem. We will equip you with frameworks identifying opportunities, support your team, and outlining your idea. You will develop your idea and iterate on your business model throughout the Specialization, and conclude with completing a business plan.","[5.9,12.6]","Spanish; Arabic; Vietnamese; Portuguese; Swedish","English","business","business-strategy","VTyPXbMXEeW-cQqGkhsQ8w"]
["Entrepreneurship","Planning","Social Business Model and Planning for Social Innovation","Copenhagen Business School","Intermediate",14.3,4.51,"https://www.coursera.org/learn/social-business-model","In this course we will take the social business opportunity that you have identified in the first course to a higher level. Specifically, you will develop a business model using the Business Model Canvas. Gradually you will also start writing your business plan. Moreover, you will be able to assess different organizational forms and select the one that is appropriate for your developed business model. By the end of the course you will be able to compare different social impact investment methods and choose the right funding strategy for your social venture.\\n\\nNote: It is highly recommended to have completed Course 1: 'Identifying Social Entrepreneurship Opportunities' before you start with this Course!","impact-investing; social-entrepreneurship; plan; social-business-model; business-plan; innovation; business-model; modeling; investor; entrepreneurship","Social Entrepreneurship",2.0,"https://www.coursera.org/specializations/social-entrepreneurship-cbs","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10.1,17.7]","NA","English","business","entrepreneurship","7BnPwFAnEeal6Q45aayEvw"]
["Entrepreneurship","Planning","Scaling Operations: Linking Strategy and Execution","Northwestern University","Beginner",14.7,4.47,"https://www.coursera.org/learn/operations-strategy","UPDATE FEBRUARY 2020: Scaling Operations: Linking Strategy and Execution will close for new learner enrollment on February 26, 2020. \\n\\n----\\nOver the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.\\n\\nScaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy.\\n\\nEach week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization.","scaling; process-management; enterprise-system; systems-thinking; estimation; management; process; strategic-management; asset; operations-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.9,18.3]","NA","English","business","business-strategy","Cil8XPTgEeSlpiIAC7NwBA"]
["Entrepreneurship","Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.72,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","software-development; software; requirements-management; requirements-analysis; user-story; requirements-elicitation; agile-software-development; use-case; software-requirements; management","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.3]","Korean; Greek","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["Entrepreneurship","Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","planning; software-development; risk; finger-protocol; agile-software-development; software; plan; agile-management; project; management","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.9]","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Entrepreneurship","Product Management","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Entrepreneurship","Product Management","Agile Meets Design Thinking","University of Virginia","Beginner",15.6,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","design-thinking; user-experience; agile-software-development; software; user-story; experience; storyboarding; software-development; persona-user-experience; management","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.5,17.7]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Entrepreneurship","Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","management; kanban; process; software-development; scrum-software-development; agile-software-development; unified-process; lean-software-development; software; software-development-process","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Entrepreneurship","Product Management","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Entrepreneurship","Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","project-management; software-metrics; finger-protocol; software-project-management; software-development; project; software; product-business; product-management; management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.3,18]","NA","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["Entrepreneurship","Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.53,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","product-business; software-development; agile-software-development; agile-manifesto; finger-protocol; software-product-management; software; product-management; management; product","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","Non Specialization","[2.9,7.5]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["Entrepreneurship","Strategy","Entrepreneurship II: Preparing for Launch","University of Illinois at Urbana-Champaign","Beginner",12.2,4.82,"https://www.coursera.org/learn/entrepreneurship-2","This course builds on previous concepts and outlines strategies and tactics for forming, financing and launching a new venture.  Topics to be addressed will include building the new venture’s initial management team, identifying and reaching out to early customers, developing financial plans, raising startup and initial growth financing, and preparing for and managing rapid growth. \\n\\nCourse objectives:\\nEntrepreneurial Team Building:  Develop an understanding of the what is required in a new venture\\nInitial Go-to-Market Strategy:  Develop a plan to identify and approach your first customers\\nFinancial Forecasting:  Building financial projections for the new venture\\nEntrepreneurial Financing:  Raising Equity Capital for the new venture\\nGrowing the Business:  Monitoring the new venture’s health and scalability","finance; stock; product; financial-forecast; need; product-business; go-to-market; go-to-market-strategy; startup-company; entrepreneurship","Innovation: From Creativity to Entrepreneurship",6.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[4.6,20.8]","NA","English","business","entrepreneurship","8Gobhe15EeawGRKJZZGEig"]
["Entrepreneurship","Strategy","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Entrepreneurship","Strategy","Entrepreneurship","The Chinese University of Hong Kong","Advanced",16.5,4.8,"https://www.coursera.org/learn/entrepreneurship","An entrepreneur is someone who is always on the lookout for problems that can be turned into opportunities and finds creative ways to leverage limited resources to reach their goals. In this course, learners will be introduced to the fundamental concepts, theories, and frameworks of entrepreneurship and learn how to apply them within the context of the world's largest market: China. Through cases, articles, and experiential learning, learners will gain expertise in how to identify and evaluate opportunities; interpret, analyze, and build financial models to enable high-growth ventures; practice living life as an entrepreneurial leader; and create a new product or service for the Chinese market.","product-business; well; business-model; i-deas; need; entrepreneurship; market-economics; business-plan; finance; investor","Doing Business in China",3.0,"https://www.coursera.org/specializations/doing-business-in-china","Participants will know how Chinese entrepreneurs, consumers and employees think and act, and be able to generate consumer and business insights for doing business in China. Through the use of well-designed business cases, participants will be able to apply this knowledge when they start or manage a business organization in China. Participants will be able to identify business opportunities and challenges based on nuanced understanding of the socio-political, economic, cultural, and technological environments in China, and leverage on their consumer and business insights to develop and implement culturally informed strategic plans.","[11.5,19.6]","NA","English","business","business-strategy","vvDJ410QEeaFYA4dzi3AFw"]
["Entrepreneurship","Strategy","Grow to Greatness: Smart Growth for Private Businesses, Part II","University of Virginia","Intermediate",13.0,4.8,"https://www.coursera.org/learn/uva-darden-smart-growth-strategy-2","This course focuses on the common human resource (\"people\") challenges faced by existing private businesses when they attempt to grow substantially. PART 1 OF THE GROW TO GREATNESS COURSE IS NOT A PREREQUISITE FOR TAKING THIS COURSE.","employment; management-theory; growth-strategies; grow; delegation; leadership; management; principle; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,19.8]","NA","English","business","business-strategy","zyGo9ph2EeSyKiIAC0EFDA"]
["Entrepreneurship","Strategy","Entrepreneurship Strategy: From Ideation to Exit","HEC Paris","Advanced",24.8,4.77,"https://www.coursera.org/learn/entrepreneurship-strategy","This course covers in the chronological order each defining step of an entrepreneurial project. It begins with very personal considerations related to getting to better know yourself better so as to decide if you are ready for the multiple challenges of entrepreneurship. It then deals with creativity in order to provide the right set of tools to find an idea with the right potential to disrupt an existing business. We then discuss how to gather a founding team, how to raise money to initiate the project, and how to deal with day to day cash management. Later in the course, we discuss the art of selling, focusing on business to business sales, and how to measure the product launch phase using cohort analysis. Later on, we discuss the challenges of HR in an entrepreneurial environment, and of recruiting at a point where nobody knows your company. We then describe very practical techniques to initiate the international development of a small company. Last, we cover the exit strategy topic.","sales-strategy; sales; exit-strategy; finance; exit-system-call; financial-management; entrepreneurship; personal-advertisement; product; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.2,25.3]","French","English","business","leadership-and-management","s5lnPA8eEeeY9w43qQI3Ag"]
["Entrepreneurship","Strategy","Grow to Greatness: Smart Growth for Private Businesses, Part I","University of Virginia","Intermediate",13.8,4.75,"https://www.coursera.org/learn/uva-darden-smart-growth-strategy-1","This course focuses on challenges faced by existing private businesses when they attempt to grow substantially.","risk; plan; planning; strategic-management; process; business-intelligence; grow; management; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,17.3]","Spanish; Russian","English","business","business-strategy","EfvjN5XvEeSqQiIACyEY7w"]
["Entrepreneurship","Strategy","Entrepreneurship I: Laying the Foundation","University of Illinois at Urbana-Champaign","Beginner",11.9,4.73,"https://www.coursera.org/learn/entrepreneurship-1","This course will explore the earlier stages of the entrepreneurial venture process across four modules. The modules will examine the nature of growth and error in entrepreneurial settings and how to manage resources in those settings. In addition, the modules will explore the emergence and existence of entrepreneurial opportunities, the formulation of ideas in relation to those opportunities, and how those opportunities and ideas influence entrepreneurial phenomena. Finally, the course modules will focus on how business concepts underlie compelling entrepreneurial missions that provide guidance to the evolution of a venture’s business model and future strategic planning.","value-proposition; customer; proposition; leadership; management; entrepreneurship; market-economics; product-market-fit; team-building; integration-testing","Innovation: From Creativity to Entrepreneurship",5.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea.\\n\\nPart One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything.\\n\\nPart Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One.\\n\\nPart Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.","[4.9,16.9]","NA","English","business","entrepreneurship","Q0xrG0dAEee_nQq6JsYrTA"]
["Entrepreneurship","Strategy","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Entrepreneurship","Strategy","Master Class for Corporate Entrepreneurs","University of Maryland, College Park","Beginner",22.2,4.62,"https://www.coursera.org/learn/corporate-entrepreneurship-project","The Master Class experience is designed to serve as the final project experience for the Corporate Entrepreneurship Specialization. Alternatively, professionals with experience in opportunity analysis, business modeling, and corporate finance are invited to complete the Master Class experience without the preliminary courses. \\n\\nWith maturing technologies and aging product portfolios requiring established companies to create, develop, and sustain innovative new businesses, graduates of the Master Class will develop an understanding of how to create new businesses and initiatives within the corporate environment. In collaboration with our award-winning faculty, and a vibrant peer group, learners will explore and apply the skills, tools, and best practices for:\\n\\n• Identifying and developing the entrepreneurial opportunities;\\n• Building business models;\\n• Creating strategies for leading innovation; and \\n• Financing and profiting from innovation. \\n\\nThe Master Class experience is differentiated from typical Coursera courses and MOOCs in that our faculty and staff are actively engaged with learners by providing individual feedback on assignments. Our faculty and staff will review and offer feedback on the major assignment submissions, if you wish, in an effort to assist you in developing and launching your corporate ventures.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurship-project","finance; business-model; innovation; ordered-pair; analysis; modeling; corporate-bond; customer; mature-technology; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",5.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[13.8,31.7]","NA","English","business","entrepreneurship","AEO-tQrvEeaKUQp9KGWIdQ"]
["Entrepreneurship","Strategy","From Idea to Startup","Technion - Israel Institute of Technology","Beginner",21.2,4.56,"https://www.coursera.org/learn/startup-entrepreneurship-from-idea-to-startup","How do you implement ideas?  \\n\\nThis course provides practical proven tools for transforming an idea into a product or service that creates value for others.  As students acquire these tools, they learn how to tell bad ideas from good, how to build a winning strategy, how to shape a unique value proposition, prepare a business plan, compare their innovation to existing solutions, build flexibility into their plan and determine when best to quit.\\n\\nAs a vital part of the course students conduct on-site interviews with entrepreneurs who have launched startups, and are eager to share their valuable insights with them.\\n\\nUpon completing this course successfully, graduates will be able to:\\n1.\\tTransform ideas into real products, services and processes, by validating the idea, testing it, and turning it into a growing, profitable and sustainable business.\\n2.\\tIdentify the major steps and requirements in order to estimate the potential of an innovative idea as the basis of an innovative project.\\n3.\\tReach creative solutions via an iteration of a virtually endless stream of world-changing ideas and strategies, integrating feedback, and learning from failures along the way.\\n4.\\tApply the 10 entrepreneurial tools in creating a business plan for a new innovative venture.\\n5.\\tApply methods and strategies learned from interviews with startup entrepreneurs and innovators. \\n6.\\tCommunicate and sell innovative ideas successfully.","iteration; viral-marketing; price-limit; asset-liability-management; empowerment; creativity; entrepreneurship","Startup Entrepreneurship",2.0,"https://www.coursera.org/specializations/startup-entrepreneurship","Non Specialization","[8.1,26.8]","NA","English","business","entrepreneurship","FzDfHTUHEeWfzhKP8GtZlQ"]
["Entrepreneurship","Strategy","Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)","University System of Georgia","Beginner",12.2,4.51,"https://www.coursera.org/learn/business-model-canvas","What you’ll achieve:\\nIn this project-centered course*, you will use the Business Model Canvas innovation tool to approach either a personal or corporate challenge or opportunity. You’ll learn to identify and communicate the nine key elements of a business model: Customer Segments, Value Proposition, Channels, Customer Relationships, Key Resources, Key Activities, Key Partners, Revenue Streams, and Cost Structure.\\n\\nYour completed project will be a polished Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity. You’ll present your case in both a one-page document and a 10-minute video presentation.\\n\\nWhat you need to get started:\\nThis project-centered course is designed for anyone who wants to understand innovation best practices and the intra-corporate entrepreneurial (intrapreneur) skills needed to lead innovation projects, teams, and strategies. Entry- and senior-level professionals in a variety of industries - including education, healthcare, business, and not-for-profit - will benefit from the course materials and project experience. The only prerequisite is a strong desire to understand best practices in innovation and to master the skills needed to transform a new idea into a profitable reality.\\n\\nTo complete the project, you’ll need to access the Business Model Canvas from either the Kauffman Foundation (http://www.entrepreneurship.org) or Strategyzer.com (http://www.Strategyzer.com), or via the Creative Commons license offered by Strategyzer AG (http://www.businessmodelgeneration.com/downloads/business_model_canvas_poster.pdf).\\n\\n*About Project-Centered Courses: Coursera's project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","modeling; business-model; business-plan; business-model-canvas; project; proposition; value-proposition; plan; business-modeling; integration-testing","Non Specialization","Non Specialization","Non Specialization","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.9,12.6]","Spanish; Arabic; Vietnamese; Portuguese; Swedish","English","business","business-strategy","VTyPXbMXEeW-cQqGkhsQ8w"]
["Finance","Best Courses","Financial Markets","Yale University","Advanced",74.7,4.75,"https://www.coursera.org/learn/financial-markets-global","An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","risk-management; financial-risk; stock; behavioral-finance; investment; market-economics; financial-markets; finance; risk; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.2,130.1]","Spanish; Korean","English","business","finance","SgcGB0YOEeemlQrrzf9X-A"]
["Finance","Best Courses","Economics of Money and Banking","Columbia University","Intermediate",44.7,4.84,"https://www.coursera.org/learn/money-banking","The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.\\n\\nThree features of the new system are central.\\n\\nMost important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse.  \\n\\nSecond, the global character of the crisis has revealed the global character of the system, which is something new in postwar history but not at all new from a longer time perspective.  Central bank cooperation was key to stemming the collapse, and the details of that cooperation hint at the outlines of an emerging new international monetary order. \\n\\nThird, absolutely central to the crisis was the operation of key derivative contracts, most importantly credit default swaps and foreign exchange swaps. Modern money cannot be understood separately from modern finance, nor can modern monetary theory be constructed separately from modern financial theory. That's the reason this course places dealers, in both capital markets and money markets, at the very center of the picture, as profit-seeking suppliers of market liquidity to the new system of market-based credit.","finance; crisis; financial-crisis; economy; global-financial-crisis; global; economics; market-economics; banking; money-market","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.7,66.6]","NA","English","social-sciences","economics","FuHL-RuOEeSduyIAC0iV4g"]
["Finance","Best Courses","The Future of Payment Technologies","University of Michigan","Beginner",11.5,4.83,"https://www.coursera.org/learn/paytech","Discover the future of payment technology, from mobile payments to tokenization.\\n\\nIn this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B).\\n\\nYou will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems.\\n\\nYou’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.","bitcoin; financial-technology; payment-systems; finance; mobile-payments","Financial Technology (Fintech) Innovations",1.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[4.7,15.7]","NA","English","business","finance","GA5E99r9EemVeQo24Bmtqg"]
["Finance","Best Courses","Corporate Finance Essentials","IESE Business School","Beginner",15.4,4.77,"https://www.coursera.org/learn/corporate-finance-essentials","Corporate Finance Essentials will enable you to understand key financial issues related to companies, investors, and the interaction between them in the capital markets. By the end of this course you should be able to understand most of what you read in the financial press and use the essential financial vocabulary of companies and finance professionals.","evaluation; finance; corporate-finance; economic-value-added; project; economics; financial-risk; investment; corporate-bond; risk","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10,19.5]","Korean; Chinese","English","business","finance","9zXfqf2IEeSnBSIACi-PoQ"]
["Finance","Best Courses","Private Equity and Venture Capital","Università Bocconi","Beginner",11.8,4.72,"https://www.coursera.org/learn/private-equity","The course deals with the analysis of the private equity and venture capital business. \\nOver the course, students will be provided with a deep understanding of the mechanism underpinning the creation and/or development of a firm and the financial support it can get from the financial system through venture capital investment.\\n\\nThe course tries to discover how special financial intermediaries (called private equity investors) finance through equity companies belonging to different stages of their life-cycle, starting from the very beginning (startup and early stage) to a more mature phase (i.e. expansion, mature age, etc.) or also staying into crises and decline. \\n\\nPrivate equity (named venture capital when the company is in the first phases of its life cycle) deals with very different activities, such as scouting, advisory, deal-making, valuation, and financing as financial intermediaries see it. \\n\\nCOURSE SYLLABUS\\nThe course is made up of four different modules: \\nWEEK 1 - Introduction to Private Equity and Venture Capital\\nWEEK 2 - Discovering Private Equity Investors: Legal Issues and Taxation\\nWEEK 3 - Management of Private Equity and Venture Capital Funds\\nWEEK 4 - Company Valuation And Deal Making In Private Equity Settings\\nWEEK 5 - Final Test\\nThroughout the course, guest speakers and practitioners will be interviewed to provide some examples of concrete applications of the contents presented.\\n\\nRECOMMENDED BACKGROUND\\nAn understanding of the basic concepts of corporate financing accounting principles is required, while prior knowledge of private equity and venture capital is not required however it is recommended, as this is a course designed to introduce you to the fundamental concepts in private equity and venture capital.","venture-capital; finance; investment; venture-capital-financing; funds; valuation-finance; private-equity; stock-valuation; private-equity-fund; stock","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.7]","NA","English","business","finance","84pGjiPgEeWKeQ6ae81EbQ"]
["Finance","Best Courses","Blockchain and Cryptocurrency Explained","University of Michigan","Beginner",12.8,5.0,"https://www.coursera.org/learn/crypto-finance","The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.\\n\\nIn this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.\\n\\nWe then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.\\n\\nFinally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.","financial-technology; blockchains; cryptocurrency; bitcoin","Financial Technology (Fintech) Innovations",2.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[5.5,18.7]","NA","English","business","finance","xx4YPdr9EemZYA6RFvxeDg"]
["Finance","Best Courses","Managerial Accounting: Tools for Facilitating and Guiding Business Decisions","University of Illinois at Urbana-Champaign","Advanced",18.4,4.73,"https://www.coursera.org/learn/managerial-accounting-business-decisions","In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve strategy.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of managerial accounting information in common business decisions\\n•\\tDifferentiate relevant and irrelevant information\\n•\\tAvoid common pitfalls in business decisions\\n•\\tPrepare a master budget and its key components\\n•\\tDescribe the iterative and interrelated nature of budgeting\\n•\\tEvaluate capital investments via a variety of measures\\n•\\tUnderstand how upper management uses variance analysis\\n•\\tCalculate, interpret, and investigate variances\\n•\\tUnderstand decentralization and its advantages and disadvantages\\n•\\tCompute and interpret financial performance measures\\n•\\tCommunicate the role of non-financial measures and strategic performance measurement systems\\n•\\tIdentify issues associated with performance measurement and incentives\\n•\\tUnderstand the nature and role of subjective performance evaluation\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management-accounting; performance; variance; accounting; analysis-of-variance; measurement; budget; performance-measurement; analysis; management","Value Chain Management",2.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.3,21.9]","NA","English","business","finance","viDCUUkuEeagxwr1Kg22cw"]
["Finance","Best Courses","FinTech Foundations and Overview","The Hong Kong University of Science and Technology","Beginner",16.3,4.64,"https://www.coursera.org/learn/fintech","Our primary goal is to help you to understand FinTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes.\\n\\nThis FIRST MOOC ON FINTECH IN ASIA-PACIFIC offered by HKUST presents the insight of several professors from the top business school in Asia as well as perspectives from industry professionals.  HKUST has been ranked for many years as the No.1 EMBA program in the world, as the number one Finance program in Asia, and as the top MBA program in Asia by multiple independent rating and review journals and surveys.  \\n\\nThis course \"FinTech Foundations and Overview\" offers the combined strengths of HKUST in Business, Finance, and Technology as one the world's leading academic institutions on an important area of technology and business innovations.  For learners from outside Asia, this also gives an insight into changes happening in the most advanced FinTech markets of the world, since Asia leads worldwide in FinTech adoption and creative innovations.","cryptocurrency; blockchains; banking; loan; latex; robot; market-economics; finance; futures-studies; financial-technology","FinTech: Finance Industry Transformation and Regulation",1.0,"https://www.coursera.org/specializations/fintech","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[11.2,18.2]","Chinese; Arabic","English","business","finance","7vsRodoREeetQAqJ6u44Wg"]
["Finance","Best Courses","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["Finance","Best Courses","Portfolio and Risk Management","University of Geneva","Intermediate",12.4,4.68,"https://www.coursera.org/learn/portfolio-risk-management","In this course, you will gain an understanding of the theory underlying optimal portfolio construction, the different ways portfolios are actually built in practice and how to measure and manage the risk of such portfolios.\\n\\nYou will start by studying how imperfect correlation between assets leads to diversified and optimal portfolios as well as the consequences in terms of asset pricing. Then, you will learn how to shape an investor's profile and build an adequate portfolio by combining strategic and tactical asset allocations. Finally, you will have a more in-depth look at risk: its different facets and the appropriate tools and techniques to measure it, manage it and hedge it.\\n\\nKey speakers from UBS, our corporate partner, will regularly add a practical perspective on these different topics as you progress through the course.","portfolio-theories; value-at-risk; modern-portfolio-theory; investment; portfolio-optimization; risk-management; mathematical-optimization; finance; risk; management","Investment Management",3.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[7.6,15]","NA","English","business","finance","lVrbSnKzEeWIfhKr_WcYsQ"]
["Finance","Best Courses","Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.81,"https://www.coursera.org/learn/corporate-commercial-law-part2","This course is the second course in a two-part series on corporate and commercial law. In this part, we focus on three main topics: business organizations, business financing, and governmental regulation. In the first module, we discuss the characteristics of a number of the most common forms of business entities, such as corporations and LLCs. Module two is devoted to debtor-creditor relationships, including bank financing, debt financing, secured transactions, and bankruptcy. We wrap up the course with two modules that focus on the most important aspects of governmental regulation, including the process by which administrative agencies make rules, and the regulation of anti-competitive behavior and securities transactions.","corporate-law; partnership; business-law; bankruptcy; corporate-bond; initial-public-offering; law; competition-law; capital-market; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.2,17.1]","NA","English","business","business-essentials","Gjz1aNrOEeew_BLWWJGXIA"]
["Finance","Best Courses","Bonds & Stocks","University of Michigan","Intermediate",6.4,4.72,"https://www.coursera.org/learn/bonds-and-stocks","This course is an introduction to bonds and stocks and how they are valued using the principles of time value of money (TVM) covered in the two preceding courses in this specialization. You’ll learn how money is raised by business to support or expand their operations. Since individuals and households typically lend money to governments and businesses, this course will help you make personal financial decision-making. This course is part of a specialization titled “Foundational Finance for Strategic Decision Making” and is helpful if you are interested in applying to an MBA degree program or learning the foundations of finance to be more effective in your career.\\n\\nThe pedagogy of the course is applied and problem-based with assignments covering every part of the course that each contain multiple problems that, by design, are introductory and simpler than the more real-world applications you will confront in the real world and more advanced courses. The assignments are all designed by the faculty lead and machine graded.","calibration; stock-valuation; stock; investment; value-investing; bond-valuation; personal-finance; finance; financial-planning-business; trading","Foundational Finance for Strategic Decision Making",3.0,"https://www.coursera.org/specializations/foundational-finance","Understand and apply the foundational principles of finance to most business problems and strategies. This integrated set of courses focuses on both the theory and practice of financial decision-making through an applied lens. Ideal for learners seeking to advance their career and/or pursue a business degree, such as a Master of Business Administration (MBA) degree, a great understanding of foundational concepts in finance will help you to understand the principles of personal finance and investing. After successful completion of the four-course program, you will be equipped to make thoughtful decisions based on a framework built using multiple advances in modern financial theory.","[3.2,8.6]","NA","English","business","finance","vNVV9dDREei8lg5uAWQo9g"]
["Finance","Banking","Economics of Money and Banking","Columbia University","Intermediate",44.7,4.84,"https://www.coursera.org/learn/money-banking","The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.\\n\\nThree features of the new system are central.\\n\\nMost important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse.  \\n\\nSecond, the global character of the crisis has revealed the global character of the system, which is something new in postwar history but not at all new from a longer time perspective.  Central bank cooperation was key to stemming the collapse, and the details of that cooperation hint at the outlines of an emerging new international monetary order. \\n\\nThird, absolutely central to the crisis was the operation of key derivative contracts, most importantly credit default swaps and foreign exchange swaps. Modern money cannot be understood separately from modern finance, nor can modern monetary theory be constructed separately from modern financial theory. That's the reason this course places dealers, in both capital markets and money markets, at the very center of the picture, as profit-seeking suppliers of market liquidity to the new system of market-based credit.","finance; crisis; financial-crisis; economy; global-financial-crisis; global; economics; market-economics; banking; money-market","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.7,66.6]","NA","English","social-sciences","economics","FuHL-RuOEeSduyIAC0iV4g"]
["Finance","Banking","Financing and Investing in Infrastructure","Università Bocconi","Intermediate",17.9,4.8,"https://www.coursera.org/learn/infrastructure-investing","Learn how debt and equity can be used to finance infrastructure investments and how investors approach infrastructure investments! \\n\\nAccording to the OECD, the global infrastructure investment requirement by 2030 for transport, electricity generation, transmission & distribution, and water & telecommunications totals to 71 trillion dollars. This figure represents about 3.5% of the annual World GDP from 2007 to 2030.\\n\\nThe European Commission estimated, that by 2020, Europe will need between 1.5 - 2 trillion Euros in infrastructure investments. Between 2011 and 2020, about 500 billion Euros will be required for the implementation of the Trans-European Transport Network (TEN-T) program, 400 billion Euros for Energy distribution networks and smart grids, 200 billion Euros on Energy transmission networks and storage, and 500 billion Euros for the upgrade and construction of new power plants. An additional 38 - 58 billion Euros and 181 - 268 billion Euros in capital investment will be needed to achieve the targets set by the European Commission for broadband diffusion.\\n\\nTraditionally investments in infrastructure were financed using public sources. However, severe budget constraints and inefficient management of infrastructure by public entities have led to an increased involvement of private investors in the business. \\n\\nThe course focuses on how private investors approach infrastructure projects from the standpoint of equity, debt, and hybrid instruments. \\n\\nThe course concentrates on the practical aspects of project finance: the most frequently used financial techniques for infrastructure investments. The repeated use of real life examples and case studies will allow students to link the theoretical background to actual business practices.\\n\\nIn the end of the course, students will be capable of analyzing a complex transaction, identifying the key elements of a deal, and suggesting proper solutions for deal structuring from a financial advisor's perspective.\\n\\nCourse Format\\nThe course will consist of lecture videos, readings, and talks given by guest speakers. Although we do hope you will attend the entire course, it is possible to just focus on single topics.\\n\\nSuggested Readings\\nThe course is designed to be self-contained, there are no obligatory readings that must be acquired outside of the course. \\nFor students interested in additional study material, you may refer to:\\n•\\tGatti Stefano, \"Project Finance in theory and practice\", Academic Press, 2nd edition, 2012.","project; loan; risk-analysis; capital-budgeting; investment; infrastructure-investment; risk; finance; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.7,20.4]","NA","English","business","finance","KK4EhXQMEeSc3CIACrbZqg"]
["Finance","Banking","Firm Level Economics: Consumer and Producer Behavior","University of Illinois at Urbana-Champaign","Advanced",22.2,4.8,"https://www.coursera.org/learn/firm-level-economics","All goods and services are subject to scarcity at some level. Scarcity means that society must develop some allocation mechanism – rules to determine who gets what. Over recorded history, these allocation rules were usually command based – the king or the emperor would decide. In contemporary times, most countries have turned to market based allocation systems. In markets, prices act as rationing devices, encouraging or discouraging production and encouraging or discouraging consumption in such a way as to find an equilibrium allocation of resources. We will construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Markets are frequent targets of government intervention. This intervention can be direct control of prices or it could be indirect price pressure through the imposition of taxes or subsidies. Both forms of intervention are impacted by elasticity of demand. \\n\\nAfter this course, you will be able to: \\n•\\tDescribe consumer behavior as captured by the demand curve.\\n•\\tDescribe producer behavior as captured by the supply curve.\\n•\\tExplain equilibrium in a market.\\n•\\tExplain the impact of taxes and price controls on market equilibrium.\\n•\\tExplain elasticity of demand.\\n•\\tDescribe cost theory and how firms optimize given the constraints of their own costs and an exogenously given price.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; economic-analysis; supply-and-demand; demand; economics; price-elasticity-of-demand; microeconomics; supply-chain; analysis; cost","Managerial Economics and Business Analysis",1.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","Non Specialization","[13.9,25.4]","NA","English","business","finance","sFiBn4SSEeWxQQoymFg8zQ"]
["Finance","Banking","Corporate Finance Essentials","IESE Business School","Beginner",15.4,4.77,"https://www.coursera.org/learn/corporate-finance-essentials","Corporate Finance Essentials will enable you to understand key financial issues related to companies, investors, and the interaction between them in the capital markets. By the end of this course you should be able to understand most of what you read in the financial press and use the essential financial vocabulary of companies and finance professionals.","evaluation; finance; corporate-finance; economic-value-added; project; economics; financial-risk; investment; corporate-bond; risk","Non Specialization","Non Specialization","Non Specialization","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10,19.5]","Korean; Chinese","English","business","finance","9zXfqf2IEeSnBSIACi-PoQ"]
["Finance","Banking","Financial Markets","Yale University","Advanced",74.7,4.75,"https://www.coursera.org/learn/financial-markets-global","An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","risk-management; financial-risk; stock; behavioral-finance; investment; market-economics; financial-markets; finance; risk; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[27.2,130.1]","Spanish; Korean","English","business","finance","SgcGB0YOEeemlQrrzf9X-A"]
["Finance","Banking","Private Equity and Venture Capital","Università Bocconi","Beginner",11.8,4.72,"https://www.coursera.org/learn/private-equity","The course deals with the analysis of the private equity and venture capital business. \\nOver the course, students will be provided with a deep understanding of the mechanism underpinning the creation and/or development of a firm and the financial support it can get from the financial system through venture capital investment.\\n\\nThe course tries to discover how special financial intermediaries (called private equity investors) finance through equity companies belonging to different stages of their life-cycle, starting from the very beginning (startup and early stage) to a more mature phase (i.e. expansion, mature age, etc.) or also staying into crises and decline. \\n\\nPrivate equity (named venture capital when the company is in the first phases of its life cycle) deals with very different activities, such as scouting, advisory, deal-making, valuation, and financing as financial intermediaries see it. \\n\\nCOURSE SYLLABUS\\nThe course is made up of four different modules: \\nWEEK 1 - Introduction to Private Equity and Venture Capital\\nWEEK 2 - Discovering Private Equity Investors: Legal Issues and Taxation\\nWEEK 3 - Management of Private Equity and Venture Capital Funds\\nWEEK 4 - Company Valuation And Deal Making In Private Equity Settings\\nWEEK 5 - Final Test\\nThroughout the course, guest speakers and practitioners will be interviewed to provide some examples of concrete applications of the contents presented.\\n\\nRECOMMENDED BACKGROUND\\nAn understanding of the basic concepts of corporate financing accounting principles is required, while prior knowledge of private equity and venture capital is not required however it is recommended, as this is a course designed to introduce you to the fundamental concepts in private equity and venture capital.","venture-capital; finance; investment; venture-capital-financing; funds; valuation-finance; private-equity; stock-valuation; private-equity-fund; stock","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.7]","NA","English","business","finance","84pGjiPgEeWKeQ6ae81EbQ"]
["Finance","Banking","Understanding Financial Markets","University of Geneva","Intermediate",15.0,4.68,"https://www.coursera.org/learn/understanding-financial-markets","In this course, you will learn what the main financial markets and their characteristics are as well as how they are linked to the economy. \\n\\nOur very diversified team of experts will start by teaching you how the price of stocks and bonds are computed and why they move while you will become increasingly aware of the notion of risk and why it matters when measuring an investment's performance. The focus will then move to less popular markets such as gold, emerging markets, real estate, hedge funds and private markets. These will be analyzed with an emphasis on their particular risks and return opportunities as well as how they can help in building efficient portfolios. Finally, the policies of central banks and their impact on financial markets will be presented to you along with the link between the economy and the price of financial assets.\\n\\nAll along these different steps, experts from UBS, our corporate partner, will show you how the concepts you just acquired are effectively applied in a leading global bank. This focus on practicality means you will not only understand what is going on in global financial markets but also start to figure out how you can use them to achieve financial goals, be it a client's or your own.\\n\\nCourse Director and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","interest; finance; interest-rate; market-economics; investment; stock; bond-market; management; risk; financial-markets","Investment Management",1.0,"https://www.coursera.org/specializations/investment-management","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[10.2,17.7]","Chinese","English","business","finance","R_c89XEiEeWi0g6YoSAL-w"]
["Finance","Banking","Capital Markets and Financial Institutions – How to Survive Them","Moscow Institute of Physics and Technology","Intermediate",27.2,4.64,"https://www.coursera.org/learn/capital-markets-and-financial-institutions","Capital markets and financial institutions are all around us. This is an enormous industry in which powerful players oftentimes challenge investors and the public at large and expose them to significant risks.\\nThis Course provides for the deep understanding of the core ideas, concepts, and mechanisms of the modern capital market in a learner-friendly way. We will analyze the market’s most fundamental problems, realize the intrinsic interests of the market participants, reveal the true meaning of certain financial terms, and uncover credible signals of the likely behavior of economic agents – all that with little math and a lot of fun.\\nThe learners will be much better positioned with respect to the financial environment. They will see through the financial news, reveal the risks of the financiers’ wishful thinking promises, and protect themselves against dangerous adventures. The learners will get the opportunity to use the obtained knowledge, skills, and understanding for the successful professional career in the financial and other business areas, as well as in their day-to-day life.","investment; banking; finance; asset; stock; market-liquidity; moral-hazard; investment-banking; financial-institution; capital-market","Understanding Modern Finance",1.0,"https://www.coursera.org/specializations/understanding-modern-finance","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[16.2,33.7]","NA","English","business","finance","zPTTgL_xEeejoA6gkzed5A"]
["Finance","Banking","Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding","University of Michigan","Beginner",9.7,4.6,"https://www.coursera.org/learn/credit-tech","Consider the benefits and challenges of disruptive capital-raising technology.\\n\\nAdvances in technology have both systematized and democratized consumers’ and business’ access to capital. In this course, you will explore the ways in which technology has transformed access to consumer credit and access to seed capital for business projects.\\n\\nYou will examine disruptive technologies in credit scoring, raising capital through tokenization, and the evolution of crowdfunding for both debt and equity financing.\\n\\nYou will also learn how to differentiate between crypto-based capital-raising models.","financial-technology; finance; credit; credit-finance","Financial Technology (Fintech) Innovations",3.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[4.2,13.8]","NA","English","business","finance","5pRx89r9EemJ9xK9jpiRAA"]
["Finance","Banking","Introduction to Financial Markets","Indian School of Business","Beginner",11.0,4.58,"https://www.coursera.org/learn/financial-markets-intro","Learn the general concepts of financial markets and economy.  You will see the difference between primary and secondary markets and learn about markets for different products. You will also look at various economic Indicators and their influence on the markets. After completing this course, you will have a much stronger background of financial markets and ready to go to the next stage in the Specialization. This course is designed to help students with very little or no finance background to learn the basics of investments.","stock; bond-market; investment; trading; stock-market; finance; economics; market-economics; foreign-exchange-market; financial-markets","Financial Markets and Investment Strategy",1.0,"https://www.coursera.org/specializations/investment-strategy","Non Specialization","[6.1,13.8]","NA","English","business","finance","xQd3R7SxEeWTSA5aXSz6uQ"]
["Finance","Banking","Digital Competition in Financial Services","Copenhagen Business School","Intermediate",16.0,4.56,"https://www.coursera.org/learn/digital-competition-financial-services","Welcome to Digital Transformation Strategy! As you probably know, this is the first course in a three part specialization focused on the digital transformation of finance. We'll aim to bring you insights about how digitalization intersects with finance, culled from one of the world's top regions for digital innovation. I'm excited to have you in the class and look forward to helping you learn more about this important topic.\\n\\nTo begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nBy the time you finish this course, you’ll have mastered the transformational forces of digitalization and the new competitive dynamics it gives rise to, learned from leading financial companies and seen inspirational examples from the digital masters. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company seeking a new strategy for the digital age of finance.\\n\\nGood luck as you get started. I look forward to seeing you in class!","digital-strategy; financial-technology; innovation; market-economics; financial-services; digitizing; open-banking; ecosystem; business-ecosystem; finance","Digital Transformation in Financial Services",1.0,"https://www.coursera.org/specializations/digital-transformation-financial-services","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[9.4,16.6]","NA","English","business","business-strategy","k5mxLwVoEee9jQp7kwAPhA"]
["Finance","Banking","Behavioral Finance","Duke University","Intermediate",8.5,4.29,"https://www.coursera.org/learn/duke-behavioral-finance","We make thousands of decisions every day. Do I cross the road now, or wait for the oncoming truck to pass? Should I eat fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions with almost no thought, using what psychologists call “heuristics” – rules of thumb that enable us to navigate our lives. Without these mental shortcuts, we would be paralyzed by the multitude of daily choices. But in certain circumstances, these shortcuts lead to predictable errors – predictable, that is, if we know what to watch out for. Did you know, for example, that we are naturally biased towards selling investments that are doing well for us, but holding on to those that are doing poorly? Or that we often select sub-optimal insurance payment plans, and routinely purchase insurance that we don’t even need? And why do so many of us fail to enroll in our employer’s corporate retirement plans, even when the employer offers to match our contributions?\\n\\nBehavioral finance is the study of these and dozens of other financial decision-making errors that can be avoided, if we are familiar with the biases that cause them. In this course, we examine these predictable errors, and discover where we are most susceptible to them. This course is intended to guide participants towards better financial choices. Learn how to improve your spending, saving, and investing decisions for the future.","bias; economics; behavioral-economics; decision-making; cognitive-bias; behavioral-finance; psychologies; finance; behavioral-decision; investment","Non Specialization","Non Specialization","Non Specialization","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[5.4,10]","Chinese; Portuguese","English","business","finance","NSxhuc9cEeWczg7kSY_tVQ"]
["Finance","BlockChain","Blockchain and Cryptocurrency Explained","University of Michigan","Beginner",12.8,5.0,"https://www.coursera.org/learn/crypto-finance","The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.\\n\\nIn this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.\\n\\nWe then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.\\n\\nFinally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.","financial-technology; blockchains; cryptocurrency; bitcoin","Financial Technology (Fintech) Innovations",2.0,"https://www.coursera.org/specializations/financialtechnology","Non Specialization","[5.5,18.7]","NA","English","business","finance","xx4YPdr9EemZYA6RFvxeDg"]
["Finance","BlockChain","Introduction to Blockchain: Using and Securing Cryptocurrencies","Association of International Certified Professional Accountants","Intermediate",4.2,4.95,"https://www.coursera.org/learn/blockchain-using-securing-cryptocurrencies","This is Course 2 in the Introduction to Blockchain course series.\\n\\nBlockchain technology is in a period of exceptional growth, and the accounting profession will play a significant role in driving its adoption. Be part of the blockchain evolution with this course. Starting with a focus on the history and evolution of blockchain and bitcoin and then on to the characteristics of bitcoin, you will get a refresher on the fundamentals of money/currency and learn how bitcoin fits into the global business landscape. This course also demonstrates the unique characteristics of blockchain and bitcoin, so accounting and finance professionals will be able to have meaningful and relevant conversations with internal and external clients.\\n\\nIn addition, this course introduces several key concepts within the realm of blockchain, including core components of blockchain technology, the custody, responsibility and control continuum, push vs pull paradigm and private blockchain vs public blockchain, which will significantly impact the way accountants and auditors perform their job functions.","gratitude; openfabrics-alliance; cryptocurrency; learning; password; this-computer-programming; cryptography; blockchains; password-managers; management","Introduction to Blockchain",2.0,"https://www.coursera.org/specializations/introduction-to-blockchain","Gain a fundamental understanding of blockchain technology and its components. Learn how such applications as cryptofinance makes use of the blockchain for decentralized, peer-to-peer transaction processing. Apply your knowledge of blockchain technology to enhance your trust and confidence in cryptocurrency trading and other situations where the blockchain is used.","[2.4,5.3]","NA","English","information-technology","security","QC4kKWp-Eem1cA4MoEDf2g"]
["Finance","BlockChain","Transacting on the Blockchain","INSEAD","Intermediate",11.7,4.77,"https://www.coursera.org/learn/transacting-blockchain","Today, large intermediaries establish trust in our economy and control the movement, storage, and allocation of money and assets. The status quo, however, is rife with inefficiencies. In this course, we’ll address the many challenges of the status quo and discuss how cryptoassets, smart contracts, new identity systems, and new financial business models can help overcome them. You’ll learn how blockchain technology empowers individuals, entrepreneurs, and businesses with the tools they need to help level the playing field and to participate in the value they create. By the end of this course, you’ll learn how and why transacting on the blockchain can help us bring about a future that is faster, fairer, and more distributed than the world we inhabit today.","financial-services; financial-system; blockchains; accounting; asset; insead; cryptocurrency; smart-contract; cryptography; finance","Blockchain Revolution",2.0,"https://www.coursera.org/specializations/blockchain-revolution-enterprise","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[5.3,20.1]","Portuguese","English","business","business-strategy","INwJmyYkEemBxQoEr_JuHA"]
["Finance","BlockChain","The Blockchain System","University of California, Irvine","Beginner",8.0,4.75,"https://www.coursera.org/learn/blockchain-system","Learn how the blockchain authenticates transactions and distributes data to peers — nodes connected to the network. This course shows you how multiple versions of a blockchain are reconciled into one, discusses blockchain limitations, and delves into organizational applications of blockchain technology.","blockchains; nodedotjs","Blockchain",4.0,"https://www.coursera.org/specializations/uci-blockchain","This specialization focuses on demystifying the blockchain technology by helping you understand the foundational constructs, benefits and opportunities of blockchain technology. You will be prepared to weigh the risks and challenges as you consider implementing this technology within your organization.","[4.8,9.9]","NA","English","computer-science","algorithms","HQo4DcTjEemspAq4WALfCA"]
["Finance","BlockChain","Introduction to Blockchain: Benefits, Values and Opportunities","Association of International Certified Professional Accountants","Advanced",4.7,4.75,"https://www.coursera.org/learn/blockchain-benefits-values-opportunities","This is Course 3 in the Introduction to Blockchain course series.\\n\\nBlockchain technology is in a period of exceptional growth, and the accounting profession will play a significant role in driving its adoption. Be part of the blockchain evolution with this course. Starting with a focus on the history and evolution of blockchain and bitcoin and then on to the characteristics of bitcoin, you will get a refresher on the fundamentals of money/currency and learn how bitcoin fits into the global business landscape. This course also demonstrates the unique characteristics of blockchain and bitcoin, so accounting and finance professionals will be able to have meaningful and relevant conversations with internal and external clients.\\n\\nIn addition, this course introduces several key concepts within the realm of blockchain, including core components of blockchain technology, the custody, responsibility and control continuum, push vs pull paradigm and private blockchain vs public blockchain, which will significantly impact the way accountants and auditors perform their job functions.","calibration; blockchains; digital-identity; openfabrics-alliance; ordered-pair; owned","Introduction to Blockchain",3.0,"https://www.coursera.org/specializations/introduction-to-blockchain","This specialization focuses on demystifying the blockchain technology by helping you understand the foundational constructs, benefits and opportunities of blockchain technology. You will be prepared to weigh the risks and challenges as you consider implementing this technology within your organization.","[2.4,6.2]","NA","English","information-technology","security","o03I4mqBEemMJQ7uACVE_A"]
["Finance","BlockChain","Introduction to Blockchain Technologies","INSEAD","Beginner",18.5,4.73,"https://www.coursera.org/learn/introduction-blockchain-technologies","In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem. You’ll be able to describe seven design principles for blockchain technology, and the challenges facing the people developing it. You’ll also meet the players in the blockchain ecosystem, and consider your own role in stewarding the blockchain revolution.","peer-to-peer; smart-contract; blockchains; proof-of-work-system; ethereum; cryptography; bitcoin-network; cryptocurrency; bitcoin; integration-testing","Blockchain Revolution",1.0,"https://www.coursera.org/specializations/blockchain-revolution-enterprise","Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.\\n\\nThis four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.\\n\\nAdditionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.","[9.1,32.8]","Portuguese","English","business","business-essentials","gVpG7_yEEeijdwpv8TGaaA"]
["Finance","BlockChain","Blockchain Business Models","Duke University","Intermediate",25.9,4.73,"https://www.coursera.org/learn/blockchain-business-models","Blockchain is an emerging and highly disruptive technology that is poorly understood. In this course you will learn what blockchain is and how it can create value by tokenization in cryptocurrencies and in many other practical applications. The applications include: stablecoins (like Facebook’s Libra and JP Morgan’s JPMCoin), machine to machine payments, identity protection, supply chain management (Walmart, Maersk, IBM), secure voting, distributed exchanges, decentralized finance, property transfers, central bank fiat crypto (e.g., Fedcoin and China’s digital Renminbi), dispensing prescription drugs, private records, intellectual property, financial reporting, and media and advertising, to name a few.  The goals of the course are to: (i) provide an advanced understanding of the various blockchain technologies; (ii) determine the specific business situations where blockchain technology can be deployed to solve important problems; (iii) select the specific blockchain technology that has the best chance of success for a particular problem; and (iv) detail the risks presented by this new technology.","capitalization-table; venture-capital; intellectual-property; entrepreneurial-finance; cryptocurrency; blockchains; business-model; modeling","Entrepreneurial Finance: Strategy and Innovation",3.0,"https://www.coursera.org/specializations/entrepreneurial-finance","Non Specialization","[14.6,37.9]","NA","English","business","finance","I5Npr9OzEei3fwpipbICKA"]
["Finance","BlockChain","Blockchain and Business: Applications and Implications","INSEAD","Intermediate",33.4,4.71,"https://www.coursera.org/learn/blockchain-business","Blockchain will bring about profound changes to business, and even to the nature of business itself.  This technology will disrupt how enterprises are funded and managed, how they create value, and even how they perform basic functions like marketing and accounting.  In this course you will learn how blockchain technology will penetrate into the structures of organizations. You will explore how blockchain will transform the roles of the C-Suite, and how a blockchain can be used to manage and protect intellectual property.  You will be able to identify the different layers of the blockchain technology stack, and explain how these affect the governance of blockchain systems.  As well, you will be able to identify seven qualities that a region in the world needs in order to attract technology startups and to build a vibrant blockchain ecosystem.","innovation; business-model; blockchains; business-modeling; ethereum; human-capital; business-marketing; empowerment; modeling; insead","Blockchain Revolution",3.0,"https://www.coursera.org/specializations/blockchain-revolution-enterprise","Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.\\n\\nThis four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.\\n\\nAdditionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.","[12.3,54.8]","Portuguese","English","business","business-essentials","ER3aJiffEemfRQrtPorF0A"]
["Finance","BlockChain","Bitcoin and Cryptocurrency Technologies","Princeton University","Beginner",17.3,4.67,"https://www.coursera.org/learn/cryptocurrency","To really understand what is special about Bitcoin, we need to understand how it works at a technical level. We’ll address the important questions about Bitcoin, such as:\\n\\nHow does Bitcoin work? What makes Bitcoin different? How secure are your Bitcoins? How anonymous are Bitcoin users? What determines the price of Bitcoins? Can cryptocurrencies be regulated? What might the future hold?\\n\\nAfter this course, you’ll know everything you need to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. You’ll have the conceptual foundations you need to engineer secure software that interacts with the Bitcoin network. And you’ll be able to integrate ideas from Bitcoin in your own projects.\\n\\nCourse Lecturers:\\nArvind Narayanan, Princeton University\\n\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","cryptography; cryptocurrency; bitcoin-network; consensus-computer-science; java-software-platform; hashing; blockchains; consensus-decision-making; bitcoin; computer-programming","Non Specialization","Non Specialization","Non Specialization","This specialization focuses on demystifying the blockchain technology by helping you understand the foundational constructs, benefits and opportunities of blockchain technology. You will be prepared to weigh the risks and challenges as you consider implementing this technology within your organization.","[14.2,22.3]","NA","English","computer-science","computer-security-and-networks","k9LPPi_EEeWv_w7cMMH1Uw"]
["Finance","BlockChain","Introduction to Supply Chain Finance & Blockchain Technology","New York Institute of Finance","Advanced",18.2,4.65,"https://www.coursera.org/learn/introduction-supply-chain-finance-blockchain-technology","What is Supply Chain Finance? How does Blockchain apply? In this course, you’ll learn about an emerging set of solutions within trade finance implemented by financial institutions, leading corporate buyers and their trading partners all over the world known as Supply Chain Finance. You’ll learn about the key enablers in Supply Chain Finance and recognize the key challenges in the current market that are responsible for the growing interest in Supply Chain Finance. You’ll cover the concept, attributes, and metrics of working capital in great detail and review the four main products and solutions in Supply Chain Finance. The course will wrap up with a brief introduction to Blockchain and the basic concepts of Blockchain Technology. By the end of this course, you’ll have learned about the options to enter into the Supply Chain Finance market and how to identify the best solutions for your organization. There is no prerequisite knowledge required to participate in this course, but general business and financial acumen are helpful in understanding the full details of Supply Chain Finance solutions.","swift-programming-language; trade-finance; blockchains; chaining; supply-chain-management; working-capital; supply-chain; finance; management","Supply Chain Finance and Blockchain Technology",1.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[5.4,32.6]","NA","English","business","business-strategy","VcYd4wkzEemWlgor9WERxA"]
["Finance","BlockChain","Introduction to Blockchain: Evolution and Technology Concepts","Association of International Certified Professional Accountants","Beginner",6.3,4.63,"https://www.coursera.org/learn/blockchain-evolution-technology-concepts","This is Course 1 in the Introduction to Blockchain course series.\\n\\nBlockchain technology is in a period of exceptional growth, and the accounting profession will play a significant role in driving its adoption. Be part of the blockchain evolution with this course. Starting with a focus on the history and evolution of blockchain and bitcoin and then on to the characteristics of bitcoin, you will get a refresher on the fundamentals of money/currency and learn how bitcoin fits into the global business landscape. This course also demonstrates the unique characteristics of blockchain and bitcoin, so accounting and finance professionals will be able to have meaningful and relevant conversations with internal and external clients.\\n\\nIn addition, this course introduces several key concepts within the realm of blockchain, including core components of blockchain technology, the custody, responsibility and control continuum, push vs pull paradigm and private blockchain vs public blockchain, which will significantly impact the way accountants and auditors perform their job functions.","evolution; blockchains; cryptocurrency; bitcoin; openfabrics-alliance; use-case","Introduction to Blockchain",1.0,"https://www.coursera.org/specializations/introduction-to-blockchain","Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.\\n\\nThis four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.\\n\\nAdditionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.","[3.3,7.6]","NA","English","information-technology","security","h6mZMTVSEemVlQ65Erh-fA"]
["Finance","BlockChain","Blockchain Opportunity Analysis","INSEAD","Intermediate",14.4,4.62,"https://www.coursera.org/learn/blockchain-opportunity-analysis","In this fourth and final course of the specialization, you will synthesize your learning into a project deliverable called a Blockchain Opportunity Analysis.  The goals of this course are twofold: One, it’s for you to identify a specific need or problem in your chosen industry that can potentially be solved using blockchain technology. Two, it’s for you to investigate possible solutions to this problem, including how these solutions might be executed. You will accomplish different project milestones each week, and will be introduced to several tools that entrepreneurs use to organize their findings. Throughout this process, you will hear from real-world practitioners who have hands-on experience in the blockchain ecosystem.  Additionally, by participating in this course you will gain access to our Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries.  As an outcome of this course, you’ll walk away with a consolidated, peer-reviewed Blockchain Opportunity Analysis, which you can use to pitch your idea to your organization or even to potential investors.","insead; need; business-model; market-economics; blockchains; industry-analysis; deliverable; project; analysis; modeling","Blockchain Revolution",4.0,"https://www.coursera.org/specializations/blockchain-revolution-enterprise","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[8.7,16.9]","Portuguese","English","business","business-strategy","RQgakSffEemxwQ7aDvte0A"]
["Finance","BlockChain","Blockchain: Foundations and Use Cases","ConsenSys Academy","Intermediate",14.9,4.61,"https://www.coursera.org/learn/blockchain-foundations-and-use-cases","This course is the definitive introduction to blockchain for both the developer and non-developer audience. Beyond the technology, this course will introduce you to some of the philosophy behind decentralization and why there is so much excitement around it. \\n\\nDuring the first three modules, you'll be introduced to blockchain and the technology behind it. In module four, we'll go beyond bitcoin and delve deeper into a next-generation blockchain called Ethereum to introduce you to what modern blockchains can do. The use cases featured in the final module are drawn from among the businesses in ConsenSys' startup portfolio. We believe we're uniquely positioned to present you with a valuable behind-the-scenes look at the people and companies working in this space to help give you a better understanding of the business side of blockchain.\\n\\nTogether, we'll examine businesses use cases, hear from industry leaders, and give you the opportunity to develop and analyze a use case yourself. With this course, not only will you be the one who is able to explain blockchain to your colleagues, you'll be well on your way to making educated business decisions with your new, foundational understanding of the technology.","bitcoin; cryptography; proof-of-work-system; algorithms; cryptocurrency; blockchains; ethereum; use-case; public-key-cryptography; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,19.5]","Chinese","English","computer-science","computer-security-and-networks","BwKNlSxKEei1rhIOBe4xWg"]
["Finance","BlockChain","Future Development in Supply Chain Finance and Blockchain Technology","New York Institute of Finance","Intermediate",5.0,4.46,"https://www.coursera.org/learn/future-developments-supply-chain-finance-blockchain-technology","This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. \\n\\nThis course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.","scaling; supply-chain; swift-programming-language; chaining; blockchains","Supply Chain Finance and Blockchain Technology",4.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","From entrepreneurs to executives, this Specialization provides an opportunity for you to learn how to advance business innovation in your company and gain insights from leading faculty in the Fuqua School of Business at Duke University.\\n\\nIn the first course, you will learn how to valuate entrepreneurial ventures—including high-growth startups—using Excel spreadsheet models. You will also learn how to discern between the tradeoffs of different financing strategies: loan investments, venture capital, angel investing, and crowdfunding.\\n\\nThe second course will teach you how to manage a startup’s financing strategy, where you will learn how to build capitalization tables (or “cap tables”) in Excel. Cap tables will help you explore different financing strategies for your startup company and determine which financing decisions are best for your entrepreneurial venture.\\n\\nThe third course transitions to an analysis of blockchain technologies, where you will learn how to identify opportunities to disrupt and innovate business models using blockchain as well as avoid poorly executed applications of blockchain to business.\\n\\nThe fourth course will teach you how to use R programming to calculate the return of a stock portfolio as well as quantify the market risk of that portfolio.\\n\\nThis Specialization is also an excellent opportunity for professionals interested in Fuqua’s master’s programs to get an inside look into Fuqua’s faculty expertise and courses.","[2.2,7.8]","NA","English","business","finance","p7Ql1go7EemaoQ6n9kv2xA"]
["Finance","BlockChain","Future Development in Supply Chain Finance and Blockchain Technology","New York Institute of Finance","Intermediate",5.0,4.46,"https://www.coursera.org/learn/future-developments-supply-chain-finance-blockchain-technology","This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. \\n\\nThis course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.","scaling; supply-chain; swift-programming-language; chaining; blockchains","Supply Chain Finance and Blockchain Technology",4.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","Non Specialization","[2.2,7.8]","NA","English","business","finance","p7Ql1go7EemaoQ6n9kv2xA"]
["Finance","BlockChain","Blockchain 360: A State of the Art for Professionals","EIT Digital","Intermediate",8.7,4.39,"https://www.coursera.org/learn/blockchain-professionals","If you want to know more about blockchain, then  this course is for you. Business is currently dealing intensively with digitisation. Blockchain has a major impact on the design and implementation of digital business processes in many application areas such as Internet of Things, the Smart Grid, supply chain and many more. In this MOOC you will learn the basics of blockchain technology as well as many examples of best practice business applications. This MOOC is part of a blended learning programme, developed by Fraunhofer and EIT Digital, with a two day course in Germany to get more in-depth knowledge.","use-case; relative-change-and-difference; smart-grid; blockchains; decentralization; process; ecosystem; entry-point; adoption; learning","Non Specialization","Non Specialization","Non Specialization","Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.\\n\\nThis four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.\\n\\nAdditionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.","[2,10.8]","NA","English","business","leadership-and-management","u74cN8A4Eei5JRLPu4lZTA"]
["Finance","Budget Management","Financing and Investing in Infrastructure","Università Bocconi","Intermediate",17.9,4.8,"https://www.coursera.org/learn/infrastructure-investing","Learn how debt and equity can be used to finance infrastructure investments and how investors approach infrastructure investments! \\n\\nAccording to the OECD, the global infrastructure investment requirement by 2030 for transport, electricity generation, transmission & distribution, and water & telecommunications totals to 71 trillion dollars. This figure represents about 3.5% of the annual World GDP from 2007 to 2030.\\n\\nThe European Commission estimated, that by 2020, Europe will need between 1.5 - 2 trillion Euros in infrastructure investments. Between 2011 and 2020, about 500 billion Euros will be required for the implementation of the Trans-European Transport Network (TEN-T) program, 400 billion Euros for Energy distribution networks and smart grids, 200 billion Euros on Energy transmission networks and storage, and 500 billion Euros for the upgrade and construction of new power plants. An additional 38 - 58 billion Euros and 181 - 268 billion Euros in capital investment will be needed to achieve the targets set by the European Commission for broadband diffusion.\\n\\nTraditionally investments in infrastructure were financed using public sources. However, severe budget constraints and inefficient management of infrastructure by public entities have led to an increased involvement of private investors in the business. \\n\\nThe course focuses on how private investors approach infrastructure projects from the standpoint of equity, debt, and hybrid instruments. \\n\\nThe course concentrates on the practical aspects of project finance: the most frequently used financial techniques for infrastructure investments. The repeated use of real life examples and case studies will allow students to link the theoretical background to actual business practices.\\n\\nIn the end of the course, students will be capable of analyzing a complex transaction, identifying the key elements of a deal, and suggesting proper solutions for deal structuring from a financial advisor's perspective.\\n\\nCourse Format\\nThe course will consist of lecture videos, readings, and talks given by guest speakers. Although we do hope you will attend the entire course, it is possible to just focus on single topics.\\n\\nSuggested Readings\\nThe course is designed to be self-contained, there are no obligatory readings that must be acquired outside of the course. \\nFor students interested in additional study material, you may refer to:\\n•\\tGatti Stefano, \"Project Finance in theory and practice\", Academic Press, 2nd edition, 2012.","project; loan; risk-analysis; capital-budgeting; investment; infrastructure-investment; risk; finance; analysis; management","Non Specialization","Non Specialization","Non Specialization","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.7,20.4]","NA","English","business","finance","KK4EhXQMEeSc3CIACrbZqg"]
["Finance","Budget Management","Managerial Accounting: Tools for Facilitating and Guiding Business Decisions","University of Illinois at Urbana-Champaign","Advanced",18.4,4.73,"https://www.coursera.org/learn/managerial-accounting-business-decisions","In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve strategy.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of managerial accounting information in common business decisions\\n•\\tDifferentiate relevant and irrelevant information\\n•\\tAvoid common pitfalls in business decisions\\n•\\tPrepare a master budget and its key components\\n•\\tDescribe the iterative and interrelated nature of budgeting\\n•\\tEvaluate capital investments via a variety of measures\\n•\\tUnderstand how upper management uses variance analysis\\n•\\tCalculate, interpret, and investigate variances\\n•\\tUnderstand decentralization and its advantages and disadvantages\\n•\\tCompute and interpret financial performance measures\\n•\\tCommunicate the role of non-financial measures and strategic performance measurement systems\\n•\\tIdentify issues associated with performance measurement and incentives\\n•\\tUnderstand the nature and role of subjective performance evaluation\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management-accounting; performance; variance; accounting; analysis-of-variance; measurement; budget; performance-measurement; analysis; management","Value Chain Management",2.0,"https://www.coursera.org/specializations/value-chain-management","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[11.3,21.9]","NA","English","business","finance","viDCUUkuEeagxwr1Kg22cw"]
["Finance","Budget Management","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","estimation; schedule; project; budget-estimation; budget; schedule-project-management; project-management; planning; management; cost","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[2.7,6.3]","Arabic; Vietnamese; Russian","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["Finance","Budget Management","Budgeting essentials and development","Fundação Instituto de Administração","Intermediate",26.1,4.49,"https://www.coursera.org/learn/budgeting-essentials-development","The Budgeting Essentials and Development course focus on an integrative and practical view of concepts, methods, and techniques to develop a budget.\\n\\nAfter finishing this course, learners will be able to:\\n- Develop the budget with a broad view of the corporate functions;\\n- Integrate the strategic guidelines into the discussions of budgeting process;\\n- Structure the budget planning and development in a logical sequence\\n- Coordinate the project of budget planning with the different areas of the company\\n- Actively promote assumptions discussions to improve the process of developing the budget\\n- Apply financial concepts to support the budget planning process\\n- Design a budget monitoring and control model to support the performance management\\n- Evaluate the performance of the company by managing the results and the budget\\n\\nIn this course, learners will have a deeper understanding of the budgeting process, its challenges, common issues, and approaches to mitigate the problems and improve the learning curve of budget planning.\\nIt is integrative by emphasizing the transition between the corporate strategy and the budget. It is practical by following a structured process of going through a framework that illustrates and demonstrates how to analyze, develop and control the budget.","budget; capital-budgeting; finance; process; corporate-bond; planning; management-information-system; budget-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.9,32.7]","Arabic","English","business","business-strategy","tC04nXtyEee9Jg72MTK0sg"]
["Finance","Budget Management","IT Project Management","Indian School of Business","Beginner",10.3,4.35,"https://www.coursera.org/learn/it-project-management","The concepts and use of project management tools, techniques and methodologies are becoming all pervasive. This course addresses project management in the context of IT projects, including software projects. Using the framework of project life cycle, the course covers various aspects pertaining to (i) project initiation, (ii) project planning and scheduling, (iii) project monitoring and control, and (iv) project termination. For planning and scheduling of projects, the use of project network and estimation of time and cost are covered in detail.  Scheduling of projects with resource limitations is covered next.\\n\\nRisk assessment methods including simulation and risk reduction approaches are also be covered. The students will be required to use the software @risk to simulate project completion times. The use of Earned Value Analysis for Project Monitoring and Control is emphasized. For Software Project Management, the Waterfall Model and Agile Project Management are covered in detail.","project-management; project-planning; program-evaluation-and-review-technique; planning; project; risk; project-plan; agile-management; risk-management; management","Business Technology Management",4.0,"https://www.coursera.org/specializations/business-technology-managment","Non Specialization","[6.1,12.2]","NA","English","business","business-strategy","w_suTyKnEeauCw5n3ibpNQ"]
["Finance","Customer Relationship Management","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Finance","Financial Management","Managerial Accounting Fundamentals","University of Virginia","Intermediate",14.6,4.83,"https://www.coursera.org/learn/uva-darden-managerial-accounting","This course will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. \\n\\nBy the end of this course, you will be able to:\\n- Describe different types of costs and how they are represented graphically\\n- Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit\\n- Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems\\n- Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision\\n- Determine a reasonable course of action, given the financial impact, for a given management decision","analysis; cost; job-costing; accounting; break-even; cost-benefit-analysis; management-accounting; finance; cost-allocation; management","Non Specialization","Non Specialization","Non Specialization","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[7.5,18.9]","NA","English","business","finance","IMUdhjZyEeei6hJT8psMrA"]
["Finance","Financial Management","Managerial Accounting Fundamentals","University of Virginia","Intermediate",14.6,4.83,"https://www.coursera.org/learn/uva-darden-managerial-accounting","This course will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. \\n\\nBy the end of this course, you will be able to:\\n- Describe different types of costs and how they are represented graphically\\n- Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit\\n- Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems\\n- Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision\\n- Determine a reasonable course of action, given the financial impact, for a given management decision","analysis; cost; job-costing; accounting; break-even; cost-benefit-analysis; management-accounting; finance; cost-allocation; management","Non Specialization","Non Specialization","Non Specialization","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[7.5,18.9]","NA","English","business","finance","IMUdhjZyEeei6hJT8psMrA"]
["Finance","Financial Management","Finance for Non-Finance Professionals","Rice University","Beginner",17.3,4.82,"https://www.coursera.org/learn/finance-for-non-finance","This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level.  The goal here is give you a roadmap and framework for how financial professional make decisions.  \\n\\nWe will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future.  You will understand discounted cash flow (DCF) valuation and how it compares to other methods.  We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting.  We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline.  Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return.  We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice.\\n\\nThis course requires no prior familiarity with finance.  Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance.  We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make.  \\n\\nBy the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business.  The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area.","discounting; cash-flow; financial-accounting; budget; corporate-bond; capital-budgeting; finance; corporate-finance; financial-statement; flow-network","Non Specialization","Non Specialization","Non Specialization","This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. The Specialization concludes with a Capstone project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses to your individual and organizational needs.","[9.3,30.2]","Turkish; Arabic","English","business","finance","YiRLBRFqEeaRgQ4evS8KlQ"]
["Finance","Financial Management","Finance for Managers","IESE Business School","Intermediate",17.4,4.79,"https://www.coursera.org/learn/operational-finance","When it comes to numbers, there is always more than meets the eye.  In operational finance, you will learn how to read the “story” that the balance sheet and income statement tells about the company’s operations. The insights you gain from this “financial story” will then become a tool for short-term decision-making at the top management level relating to current assets, current liabilities and the management of working capital. Finally, by the end of the course you will understand the financial consequences of managerial decisions on operations, marketing, etc.","management-accounting; methodology; managerial-finance; analysis; management; dupont-analysis; financial-analysis; business-analysis; finance; balance-sheet","Foundations of Management",2.0,"https://www.coursera.org/specializations/foundations-management","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[11.6,20.5]","Arabic","English","business","finance","6AL8FY7BEeW5gxKDBxYMJw"]
["Finance","Financial Management","Investments II: Lessons and Applications for Investors","University of Illinois at Urbana-Champaign","Advanced",20.6,4.76,"https://www.coursera.org/learn/investments-applications","In this course, you will start by reviewing the fundamentals of investments, including the trading off of return and risk when forming a portfolio, asset pricing models such as the Capital Asset Pricing Model (CAPM) and the 3-Factor Model, and the efficient market hypothesis.  You will be introduced to the two components of stock returns – dividends and capital gains – and will learn how each are taxed and the incentives provided to investors from a realization-based capital gains tax.  You will examine the investment decisions (and behavioral biases) of participants in defined-contribution (DC) pension plans like 401(k) plans in the U.S. and will learn about the evidence regarding the performance of individual investors in their stock portfolios.  The course concludes by discussing the evidence regarding the performance of actively-managed mutual funds. You will learn about the fees charged to investors by mutual funds and the evidence regarding the relation between fees charged and fund performance.  Segments of the portfolios of mutual funds that may be more likely to outperform and examples of strategies designed to “earn alpha” will also be introduced.\\n\\nLearners are welcome to take this course even if they have not completed \"Investments I: Fundamentals of Performance Evaluation,\" as the first module contain a review of investment fundamentals and regression analysis to get everyone up to speed.  Also, the course contains several innovative features, including creative out-of-the-studio introductions followed by quick-hitting \"Module in 60\" countdowns that highlight what will be covered in each module, four \"Faculty Focus\" interview episodes with leading professors in finance, and a summary of each module done with the help of animations!\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","finance; stock; financial-risk; market-economics; funds; investment-strategy; risk; investment; investment-decisions; financial-markets","Financial Management",4.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[14.1,28.7]","NA","English","business","finance","gni-lkeREeaNmhKFnqHOVQ"]
["Finance","Financial Management","Managerial Accounting: Tools for Facilitating and Guiding Business Decisions","University of Illinois at Urbana-Champaign","Advanced",18.4,4.73,"https://www.coursera.org/learn/managerial-accounting-business-decisions","In this course, you will explore how to use accounting to allocate resources and incentivize manager and employee behaviors in using these resources. You will also learn how financial and non-financial accounting information facilitates strategic performance measurement and how to integrate this information to continuously improve strategy.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of managerial accounting information in common business decisions\\n•\\tDifferentiate relevant and irrelevant information\\n•\\tAvoid common pitfalls in business decisions\\n•\\tPrepare a master budget and its key components\\n•\\tDescribe the iterative and interrelated nature of budgeting\\n•\\tEvaluate capital investments via a variety of measures\\n•\\tUnderstand how upper management uses variance analysis\\n•\\tCalculate, interpret, and investigate variances\\n•\\tUnderstand decentralization and its advantages and disadvantages\\n•\\tCompute and interpret financial performance measures\\n•\\tCommunicate the role of non-financial measures and strategic performance measurement systems\\n•\\tIdentify issues associated with performance measurement and incentives\\n•\\tUnderstand the nature and role of subjective performance evaluation\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management-accounting; performance; variance; accounting; analysis-of-variance; measurement; budget; performance-measurement; analysis; management","Value Chain Management",2.0,"https://www.coursera.org/specializations/value-chain-management","Non Specialization","[11.3,21.9]","NA","English","business","finance","viDCUUkuEeagxwr1Kg22cw"]
["Finance","Financial Management","Managerial Accounting: Cost Behaviors, Systems, and Analysis","University of Illinois at Urbana-Champaign","Intermediate",14.4,4.72,"https://www.coursera.org/learn/accounting-for-managers","In this course, you will learn how to use accounting to facilitate and align decisions made by owners, managers, and employees. You will learn how accountants create, organize, interpret, and communicate information that improves internal processes, and allows organizations to identify and leverage opportunities to create value within the supply chain and with customers. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand what managerial accounting is and why it is important. \\n•\\tDescribe fundamental concepts of managerial accounting. \\n•\\tApply the financial perspective of accounting for costs.\\n•\\tIdentify problems associated with relying on financial accounting information for internal decision making. \\n•\\tOrganize cost information according to the decision-making needs of the organization.\\n•\\tApply activity-based costing (ABC) and recognize the influence of setting and decision characteristics on the relevance of ABC systems.\\n•\\tAddress common \"what-if\" questions using cost-volume-profit (CVP) analysis. \\n•\\tApply CVP analysis in a variety of scenarios.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","accounting; cost-accounting; management-accounting; cost; break-even; job-costing; activity-based-costing; analysis; decision-making; management","Value Chain Management",1.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.7,16.2]","Vietnamese","English","business","finance","lU9jvUkuEeaLEAqUHs9hMw"]
["Finance","Financial Management","Financial Accounting: Foundations","University of Illinois at Urbana-Champaign","Intermediate",15.3,4.71,"https://www.coursera.org/learn/financial-accounting-basics","In this course, you will learn foundations of financial accounting information. You will start your journey with a general overview of what financial accounting information is and the main financial statements. You will then learn how to code financial transactions in financial accounting language. In the meantime, you will learn about the most important concept in contemporary financial accounting: accrual accounting. You will then critically analyze how firms recognize revenues. Finally, you will finish the course with an analysis of accounting for short-term assets where you will go into detail on how firms account for accounts receivables and inventories. \\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand main financial statements and the financial information they provide\\n•\\tWrite a financial transaction in financial accounting language and understand how this impacts main financial statements\\n•\\tUnderstand how accrual accounting and fundamental accounting concepts work\\n•\\tUnderstand revenue recognition principles and how they impact main financial statements\\n•\\tAccount for accounts receivables and inventories.  \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","income-statement; financial-statement; financial-accounting; inventory; accounting; basis-of-accounting; balance-sheet; income; finance; accrual","Financial Management",1.0,"https://www.coursera.org/specializations/financial-management","Non Specialization","[8.6,17.7]","NA","English","business","finance","6K8l2CwFEeaU1xK12iolBQ"]
["Finance","Financial Management","Financial Accounting: Advanced Topics","University of Illinois at Urbana-Champaign","Advanced",11.6,4.7,"https://www.coursera.org/learn/financial-accounting-advanced","In this course, you will explore advanced topics in financial accounting. You will start your journey with accounting for assets with more than one-year life. You will learn in detail how firms account for fixed assets. You will then move to financing of assets and discuss accounting for liabilities. The course will continue with an in-depth exploration of shareholders’ equity. Finally, you will critically evaluate preparation, components, and analysis of cash flows statement. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tAccount for fixed assets\\n•\\tUnderstand accounting for liabilities\\n•\\tEvaluate shareholders’ equity section of a balance sheet\\n•\\tUnderstand preparation and information provided by cash flows statement\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","cash-flow-statement; financial-accounting; flow-psychology; fixed-asset; asset; accounting; financial-statement; finance; flow-network; cash-flow","Financial Management",2.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[5.5,13.4]","NA","English","business","finance","KinX8iwGEeaA3A6P4rV07Q"]
["Finance","Financial Management","Keeping up with Change: Issues for the Finance Professional","University of London","Beginner",42.0,4.66,"https://www.coursera.org/learn/change-for-the-finance-professional","This MOOC identifies and explores a number of challenges to the finance professional arising from the ever changing business environment. Increasingly, financial decisions must take account of strategic consequences. \\n\\nThe first module, Exploring Strategic Position, Choice and Action helps in doing that – setting a strategic context for planning for, monitoring and controlling projects and activities. An on-going set of challenges is found in the evolution of International Reporting Standards. \\n\\nThe second module focuses on some recent changes in Standards, identifying the drivers for changes, and examining evolution in controversial areas such as leasing and goodwill. \\n\\nThe third and final module, Corporate Governance, examines issues which are causing people to re-assess the nature, purpose and scope of corporate governance, and challenges to making governance function effectively. Key issues here are the move to include a broader range of stakeholders, the perennial challenge of agency theory issues, shareholder activism, changing Board structures, and challenges to internal control to better manage risk. \\n\\nThis MOOC will be right for you if you are interested in engaging with some of the challenges facing finance professionals, even if you are not one yourself. If you are thinking about returning to study this will provide a taster of academic endeavours through reading articles, critiquing ideas, and blending theory with reality.","accounting; finance; analysis; corporate-governance; strategic-analysis; international-financial-reporting-standards; strategic-management; management; corporate-bond; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.6,65.3]","NA","English","business","finance","asSgiHyvEeWpcQ7HugVD8Q"]
["Finance","Financial Management","Management and financial accounting: Know your numbers 1","Macquarie University","Beginner",5.0,4.62,"https://www.coursera.org/learn/management-accounting","Financial literacy is a fundamental capability for any business leader, whether you are running your own small business/start-up or working at a large organisation. This course will provide you with a sound foundational understanding of financial and management accounting, and how to use accounting to facilitate and align decisions made by owners, managers and employees. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will develop the ability to seek out financial opportunities and avoid financial misadventure. You’ll learn how to organise, create, interpret and communicate important financial information effectively, which will help you improve your organisation’s internal procedures and processes.","management; accounting; financial-literacy; data-analysis; management-accounting; finance; financial-management; salesforce; small-business; tableau-software","Analysing: Numeric and digital literacies",1.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Non Specialization","[1.1,4.5]","NA","English","business","business-essentials","InqtV6WiEeiDiw4YwP822A"]
["Finance","Financial Management","Finance for Non-Financial Professionals","University of California, Irvine","Beginner",7.1,4.45,"https://www.coursera.org/learn/finance-for-non-finance-managers","Impact your financial decisions and learn how to affect the performance of your unit's profitability and of your organization. In this course gain a basic understanding of finance and accounting concepts to drive your organization's growth. Upon completion of this course, you will have gained general financial knowledge and an in-depth understanding of the impact of your decisions outside your functional area. Content of the course includes selected aspects of finance from a non-financial specialist perspective. Specific topics include: financial analysis; planning, forecasting, and budgeting; cash flow, and strategic financing. This class will be interactive and will require the active involvement of the participants in finance related activities.\\n\\nUpon completing this course, you will be able to:\\n1.       Explain the importance of finance and interpretation of financial information\\n2.       Apply the concepts of accounting and finance to analyze financials\\n3.       Learn about key accounting and finance terms\\n4.       Examine financial statements by using key ratios\\n5.       Explain the importance of budgeting process\\n6.       Learn about key components needed to improve profitability","finance; accounting; corporate-finance; valuation-finance; financial-statement; financial-ratio; market-economics; financial-literacy; principle; cost","Career Success",3.0,"https://www.coursera.org/specializations/career-success","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[3.9,9.2]","Ukrainian; Chinese; Spanish; Vietnamese; Korean","English","business","finance","0aY3BdGZEeSX5iIAC4tS5g"]
["Finance","FinTech","The Future of Payment Technologies","University of Michigan","Beginner",11.5,4.83,"https://www.coursera.org/learn/paytech","Discover the future of payment technology, from mobile payments to tokenization.\\n\\nIn this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B).\\n\\nYou will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems.\\n\\nYou’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.","bitcoin; financial-technology; payment-systems; finance; mobile-payments","Financial Technology (Fintech) Innovations",1.0,"https://www.coursera.org/specializations/financialtechnology","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[4.7,15.7]","NA","English","business","finance","GA5E99r9EemVeQo24Bmtqg"]
["Finance","FinTech","FinTech Law and Policy","Duke University","Intermediate",33.1,4.77,"https://www.coursera.org/learn/fintechlawandpolicy","Being a successful FinTech firm requires more than just great technology; it also requires an understanding of the laws and regulations applicable to your business. This course will provide you with that understanding. You will learn about the critical legal, regulatory, and policy issues associated with cryptocurrencies, initial coin offerings, online lending, new payments and wealth management technologies, and financial account aggregators.  In addition, you will learn how regulatory agencies in the U.S. are continually adjusting to the emergence of new financial technologies and how one specific agency has proposed a path for FinTech firms to become regulated banks. You will also learn the basics of how banks are regulated in the U.S.\\n\\nIf you are unfamiliar with how these new financial technologies work, fear not. We will begin each new course section with a high-level overview of the underlying technology.  While the course is principally focused on the U.S. FinTech industry, we cannot possibly cover every relevant legal and regulatory issue. Therefore, this course should not be construed as legal advice. Rather, the goal of the course is to familiarize you with the key legal and regulatory challenges FinTech firms in various sectors face, as well as the critical policy debates that are occurring in Washington D.C. and state capitals across the country.","finance; financial-regulation; financial-technology; blockchains; payment-systems; law; cryptocurrency; risk; bitcoin; integration-testing","Non Specialization","Non Specialization","Non Specialization","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[8.2,60.2]","NA","English","business","finance","nhAPFV0cEeiNthLYUFoHkg"]
["Finance","FinTech","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["Finance","FinTech","FinTech Disruptive Innovation: Implications for Society","The Hong Kong University of Science and Technology","Intermediate",12.8,4.68,"https://www.coursera.org/learn/fintech-disruption","This course “FinTech Disruptive Innovation: Implications for Society” help you understand how disruptive innovations create opportunity in finance industry and its impact to society especially your career. You would be able to examine and analyse how FinTech innovations would affect companies that relates to FinTech services and how it might affect your career in finance.\\n\\nYou will learn about how peer to peer lending disrupt finance industry in different countries, the diversity of impact by FinTech in the comparison of East vs West, Big firms vs Small firms, and different generations etc., how to predict FinTech trends in different markets, and finally what you should do to pursue your career and secure your position in FinTech industry.","financial-technology","FinTech: Finance Industry Transformation and Regulation",4.0,"https://www.coursera.org/specializations/fintech","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.2,19.7]","NA","English","business","finance","WFanvtoSEeedbRLwgi9a7A"]
["Finance","FinTech","FinTech Foundations and Overview","The Hong Kong University of Science and Technology","Beginner",16.3,4.64,"https://www.coursera.org/learn/fintech","Our primary goal is to help you to understand FinTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes.\\n\\nThis FIRST MOOC ON FINTECH IN ASIA-PACIFIC offered by HKUST presents the insight of several professors from the top business school in Asia as well as perspectives from industry professionals.  HKUST has been ranked for many years as the No.1 EMBA program in the world, as the number one Finance program in Asia, and as the top MBA program in Asia by multiple independent rating and review journals and surveys.  \\n\\nThis course \"FinTech Foundations and Overview\" offers the combined strengths of HKUST in Business, Finance, and Technology as one the world's leading academic institutions on an important area of technology and business innovations.  For learners from outside Asia, this also gives an insight into changes happening in the most advanced FinTech markets of the world, since Asia leads worldwide in FinTech adoption and creative innovations.","cryptocurrency; blockchains; banking; loan; latex; robot; market-economics; finance; futures-studies; financial-technology","FinTech: Finance Industry Transformation and Regulation",1.0,"https://www.coursera.org/specializations/fintech","Non Specialization","[11.2,18.2]","Chinese; Arabic","English","business","finance","7vsRodoREeetQAqJ6u44Wg"]
["Finance","FinTech","Digital Competition in Financial Services","Copenhagen Business School","Intermediate",16.0,4.56,"https://www.coursera.org/learn/digital-competition-financial-services","Welcome to Digital Transformation Strategy! As you probably know, this is the first course in a three part specialization focused on the digital transformation of finance. We'll aim to bring you insights about how digitalization intersects with finance, culled from one of the world's top regions for digital innovation. I'm excited to have you in the class and look forward to helping you learn more about this important topic.\\n\\nTo begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nBy the time you finish this course, you’ll have mastered the transformational forces of digitalization and the new competitive dynamics it gives rise to, learned from leading financial companies and seen inspirational examples from the digital masters. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company seeking a new strategy for the digital age of finance.\\n\\nGood luck as you get started. I look forward to seeing you in class!","digital-strategy; financial-technology; innovation; market-economics; financial-services; digitizing; open-banking; ecosystem; business-ecosystem; finance","Digital Transformation in Financial Services",1.0,"https://www.coursera.org/specializations/digital-transformation-financial-services","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[9.4,16.6]","NA","English","business","business-strategy","k5mxLwVoEee9jQp7kwAPhA"]
["Finance","FinTech","Innovation Strategy: Developing Your Fintech strategy","Copenhagen Business School","Advanced",16.8,4.53,"https://www.coursera.org/learn/innovation-strategy-fintech","Welcome to Innovation strategy: Developing your Fintech Strategy! As you probably know, this is the third course in a three-part specialization focused on the digital transformation of finance. \\n\\nIn this course, we'll aim to bring you insights about how business strategy intersects with innovation in finance. I'm excited to have you in the class and look forward to helping you learn more about this important topic.\\n\\nTo begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nBy the time you finish this course, you’ll have understood the job your Fintech innovation strategy should solve and mastered both internal and external innovation tools to solve the problem. You will also have been exposed to how some of the world’s leading financial companies work with innovation and seen inspirational examples from the digital masters, such as Google, Apple and Amazon. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company that needs to re-think its Fintech innovation strategy.\\n\\nThe course has a primary focus on the banking sector, with insurance as a secondary area of concern. Most examples are rooted in the North American and European financial markets. \\n\\nGood luck as you get started. I look forward to seeing you in class!","banking; innovation; financial-technology; peer-to-peer; business-strategy; product-business; finance; partnership; strategic-partnerships; disruptive-innovation","Digital Transformation in Financial Services",3.0,"https://www.coursera.org/specializations/digital-transformation-financial-services","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[9.3,17.7]","NA","English","business","business-strategy","IP_AswVvEeeqVhLFdsSxXA"]
["Finance","FinTech","FinTech Risk Management","The Hong Kong University of Science and Technology","Intermediate",17.0,4.5,"https://www.coursera.org/learn/fintech-risk-management","This course “FinTech Risk Management” help you understand risk management and corporate governance in finance industry with the disruption by FinTech and RegTech. You will become more confident to analyse and make recommendations to develop business strategies balancing the risks in operation, reputation and the stability of finance firms.\\n\\nYou will learn about new challenges of compliance with financial requirements and government regulations and how you can deal with these changes, strategies in analysing FinTech risk and how operation risks increase in finance industry in this changing environment. As tech firms are now becoming more like finance firms such as Alibaba, Apple, and Tencent etc., you will learn about the importance of IT compliance and assurance and practical skills in dealing with these changes.","financial-risk-management; management; financial-risk; finance; financial-technology; risk; risk-management; integration-testing; enterprise-risk-management","FinTech: Finance Industry Transformation and Regulation",3.0,"https://www.coursera.org/specializations/fintech","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[10.1,23.5]","Chinese","English","business","business-essentials","RHsxQtoSEeeHwhJGCo5gVg"]
["Finance","Investment Management","Introduction to Portfolio Construction and Analysis with Python","EDHEC Business School","Advanced",30.9,4.87,"https://www.coursera.org/learn/introduction-portfolio-construction-python","The practice of investment management has been transformed in recent years by computational methods. This course provides an introduction to the underlying science, with the aim of giving you a thorough understanding of that scientific basis. However, instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language. \\n\\nThis course is the first in a four course specialization in Data Science and Machine Learning in Asset Management but can be taken independently. In this course, we cover the basics of Investment Science, and we'll build practical implementations of each of the concepts along the way. We'll start with the very basics of risk and return and quickly progress to cover a range of topics including several Nobel Prize winning concepts. We'll cover some of the most popular practical techniques in modern, state of the art investment management and portfolio construction. \\n\\nAs we cover the theory and math in lecture videos, we'll also implement the concepts in Python, and you'll be able to code along with us so that you have a deep and practical understanding of how those methods work. By the time you are done, not only will you have a foundational understanding of modern computational methods in investment management, you'll have practical mastery in the implementation of those methods.","finance; portfolio-investment; liability-driven-investment-strategy; computer-programming; investment; portfolio-construction; portfolio-finance; asset; python-programming-language; management","Investment Management with Python and Machine Learning",1.0,"https://www.coursera.org/specializations/investment-management-python-machine-learning","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[23,37.3]","NA","English","business","finance","qeyXSV_uEeiNIQqyU-T6bA"]
["Finance","Investment Management","Python and Machine-Learning for Asset Management with Alternative Data Sets","EDHEC Business School","Intermediate",11.9,4.8,"https://www.coursera.org/learn/machine-learning-asset-management-alternative-data","Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as  they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills.","sentiment-analysis; computational-finance; investment; financial-markets; asset-management; financial-engineering; investment-management; machine-learning; python-programming-language; analysis","Investment Management with Python and Machine Learning",4.0,"https://www.coursera.org/specializations/investment-management-python-machine-learning","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.2,16.9]","NA","English","business","finance","gafB-pzHEeigWgp_hi6FmA"]
["Finance","Investment Management","Corporate Finance Essentials","IESE Business School","Beginner",15.4,4.77,"https://www.coursera.org/learn/corporate-finance-essentials","Corporate Finance Essentials will enable you to understand key financial issues related to companies, investors, and the interaction between them in the capital markets. By the end of this course you should be able to understand most of what you read in the financial press and use the essential financial vocabulary of companies and finance professionals.","evaluation; finance; corporate-finance; economic-value-added; project; economics; financial-risk; investment; corporate-bond; risk","Non Specialization","Non Specialization","Non Specialization","The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.","[10,19.5]","Korean; Chinese","English","business","finance","9zXfqf2IEeSnBSIACi-PoQ"]
["Finance","Investment Management","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","Non Specialization","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["Finance","Investment Management","Meeting Investors' Goals","University of Geneva","Intermediate",17.9,4.72,"https://www.coursera.org/learn/meeting-investors-goals","In this course, you will dive into the concepts of rationality and irrationality and understand how they impact our investment decisions and what the consequences can be at the market level.\\n\\nYou will first explore the different biases that we, as humans, are subjected to when facing investment decisions and how they may impact the outcomes of these decisions. Moreover, you will see how emotions and ethical concerns such as honesty and trust influence market participants. When they are considered as a group rather than individually, you will discover how rationality and irrationality can drive asset prices to and away from their fair value. Finally, you will be presented with different portfolio construction methodologies and investment styles that make up the landscape of today's portfolio management industry. \\n\\nAt key points throughout the course, you will benefit from the practical knowledge of experts from our corporate partner, UBS, in how to build and manage clients' portfolios.","management; investment-style; bias; investment; cognitive-bias; market-economics; finance; portfolio-construction; investment-strategy; financial-markets","Investment Management",2.0,"https://www.coursera.org/specializations/investment-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[10.7,27.3]","NA","English","business","finance","LWzwe3KxEeWKsgrp3VnvAw"]
["Finance","Investment Management","Portfolio and Risk Management","University of Geneva","Intermediate",12.4,4.68,"https://www.coursera.org/learn/portfolio-risk-management","In this course, you will gain an understanding of the theory underlying optimal portfolio construction, the different ways portfolios are actually built in practice and how to measure and manage the risk of such portfolios.\\n\\nYou will start by studying how imperfect correlation between assets leads to diversified and optimal portfolios as well as the consequences in terms of asset pricing. Then, you will learn how to shape an investor's profile and build an adequate portfolio by combining strategic and tactical asset allocations. Finally, you will have a more in-depth look at risk: its different facets and the appropriate tools and techniques to measure it, manage it and hedge it.\\n\\nKey speakers from UBS, our corporate partner, will regularly add a practical perspective on these different topics as you progress through the course.","portfolio-theories; value-at-risk; modern-portfolio-theory; investment; portfolio-optimization; risk-management; mathematical-optimization; finance; risk; management","Investment Management",3.0,"https://www.coursera.org/specializations/investment-management","Non Specialization","[7.6,15]","NA","English","business","finance","lVrbSnKzEeWIfhKr_WcYsQ"]
["Finance","Investment Management","Portfolio and Risk Management","University of Geneva","Intermediate",12.4,4.68,"https://www.coursera.org/learn/portfolio-risk-management","In this course, you will gain an understanding of the theory underlying optimal portfolio construction, the different ways portfolios are actually built in practice and how to measure and manage the risk of such portfolios.\\n\\nYou will start by studying how imperfect correlation between assets leads to diversified and optimal portfolios as well as the consequences in terms of asset pricing. Then, you will learn how to shape an investor's profile and build an adequate portfolio by combining strategic and tactical asset allocations. Finally, you will have a more in-depth look at risk: its different facets and the appropriate tools and techniques to measure it, manage it and hedge it.\\n\\nKey speakers from UBS, our corporate partner, will regularly add a practical perspective on these different topics as you progress through the course.","portfolio-theories; value-at-risk; modern-portfolio-theory; investment; portfolio-optimization; risk-management; mathematical-optimization; finance; risk; management","Investment Management",3.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[7.6,15]","NA","English","business","finance","lVrbSnKzEeWIfhKr_WcYsQ"]
["Finance","Investment Management","Planning your Client's Wealth over a 5-year Horizon","University of Geneva","Intermediate",19.1,4.66,"https://www.coursera.org/learn/wealth-planning-capstone","In this Capstone project, you will have to choose between three different characters (each with a unique set of financial constraints and objectives) and design an appropriate wealth plan for them over the next 5 years.\\n\\nYou will have to use the knowledge you gained in each of the four preceding courses to reach that objective. Indeed, you will need to know which assets to consider and how to manage them depending on changes in the economic outlook (Course 1), how to evaluate and deal with your character's emotional biases in order to suggest them a wealth strategy they will be able to follow (Course 2), how to build an optimal portfolio and manage its risk once the strategy has been designed (Course 3) and how to adequately measure the performance of your plan while taking advantage of investment vehicles and future trends in the investment management industry to further your character's goals (Course 4).\\n\\nThis Capstone project was designed in collaboration with UBS, our corporate partner, who benefits from years of experience in guiding clients with their wealth planning.","finance; evaluation; market-economics; microsoft-excel; investment-management; performance; investment; risk; measurement; management","Investment Management",5.0,"https://www.coursera.org/specializations/investment-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[12.9,23.2]","NA","English","business","finance","t8Zu0nK1EeWxvQr3acyajw"]
["Finance","Investment Management","Introduction to Financial Markets","Indian School of Business","Beginner",11.0,4.58,"https://www.coursera.org/learn/financial-markets-intro","Learn the general concepts of financial markets and economy.  You will see the difference between primary and secondary markets and learn about markets for different products. You will also look at various economic Indicators and their influence on the markets. After completing this course, you will have a much stronger background of financial markets and ready to go to the next stage in the Specialization. This course is designed to help students with very little or no finance background to learn the basics of investments.","stock; bond-market; investment; trading; stock-market; finance; economics; market-economics; foreign-exchange-market; financial-markets","Financial Markets and Investment Strategy",1.0,"https://www.coursera.org/specializations/investment-strategy","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[6.1,13.8]","NA","English","business","finance","xQd3R7SxEeWTSA5aXSz6uQ"]
["Finance","Investment Management","Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers","HEC Paris","Advanced",24.6,4.56,"https://www.coursera.org/learn/investment-management","Have you ever wanted to invest in financial markets, but were always afraid that you didn’t have the proper tools or knowledge to make informed decisions? Have you ever wondered how investment management companies operate and what fund managers do? AXA Investment Managers, in partnership with HEC Paris, will introduce you to the most important ideas and concepts in investment management, to help you better understand your financial future.\\n\\nThis course will enable you to:\\n•\\tDefine what type of investor you are, your investment objectives, and potential constraints. \\n•\\tIdentify the main investable assets and important players in financial markets. \\n•\\tUnderstand basic portfolio management techniques. \\n•\\tApply these techniques in real case studies from the outset, through practical assessments. \\n\\nFinally, we will provide a comprehensive overview of today's asset management industry: the product cycles, professionals, and regulations. For those who want to identify a talented fund manager to invest for you, we offer important criteria for selecting one. For those who are interested in learning more about this fascinating industry, we lay the foundation for your ongoing financial journey. Join us now to explore the world of investment management! \\n\\nCourse Specialists\\nThe course has been developed in collaboration between HEC Paris, with Hugues Langlois managing the academic aspect, and AXA Investment Managers specialists, sharing their experiences and expertise and coordinated by Marion Le Morhedec. AXA Investment Managers participants include Maxime Alimi, Stephanie Condra, Nicholas Jeans, Elodie Laugel, Pierre-François de Mont-Serrat, Jean-Gabriel Pierre (AXA Group), Dorothée Sauloup, Irina Topa-Serry, Fiona Southall, Patrice Viot Coster, Susanna Warner, and Joachim Weitgasser.\\n\\nRecommended Background\\nWe expect most participants to have a basic level of knowledge in mathematics and economics. However this is not essential, and we believe that people from any background can succeed with commitment and a strong interest.\\nBe aware that in the case study, you will have to use Excel.\\n\\nCourse Format \\nThis course will run for 4 weeks and consists of 4 modules, each with a series of lecture videos between 5 to 8 minutes long. Each module contains a set of practice and graded quiz questions. A complete portfolio management exercise covers concepts learned in all modules\\n\\nLanguage\\nThe course is in English, with Spanish, Italian, German, French, and Chinese (Simplified) subtitles.\\n\\nThe Project\\nThe preparation of this MOOC has been an exciting adventure for many professionals at AXA Investment Managers and HEC, both for the speakers and a wealth of contributors. Thank you to all of them.\\nWe hope you enjoy this course as much as we enjoyed creating it!","investment-management; asset; investment; market-economics; asset-management; portfolio-theories; analysis; finance; financial-markets; management","Non Specialization","Non Specialization","Non Specialization","The Data Science and Machine Learning for Asset Management Specialization has been designed to deliver a broad and comprehensive introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.By the end of this specialization, you will have acquired the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts, but also on practical applications and implementation. Instead of merely explaining the science, we help you build on that foundation in a practical manner, with an emphasis on the hands-on implementation of those ideas in the Python programming language through a series of dedicated lab sessions.","[11.7,38.7]","Chinese; Spanish; French; German; Italian","English","business","finance","NDBJAUWDEeWbNhIvIryYow"]
["Finance","Investment Management","Portfolio Selection and Risk Management","Rice University","Beginner",31.2,4.49,"https://www.coursera.org/learn/portfolio-selection-risk-management","When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution. Finally, you will learn about the main pricing models for equilibrium asset prices.\\n\\nLearners will:\\n•\\tDevelop risk and return measures for portfolio of assets\\n•\\tUnderstand the main insights from modern portfolio theory based on diversification\\n•\\tDescribe and identify efficient portfolios that manage risk effectively\\n•\\tSolve for portfolio with the best risk-return trade-offs\\n•\\tUnderstand how risk preference drive optimal asset allocation decisions\\n•\\tDescribe and use equilibrium asset pricing models.","asset; portfolio-optimization; analysis; modern-portfolio-theory; portfolio-construction; risk-analysis; management; mathematical-optimization; risk; risk-management","Investment and Portfolio Management",2.0,"https://www.coursera.org/specializations/investment-portolio-management","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[21.7,46]","NA","English","business","finance","uwDWjLu_EeWH_w6eDJDPoQ"]
["Finance","Investment Management","Global Financial Markets and Instruments","Rice University","Beginner",20.3,4.43,"https://www.coursera.org/learn/global-financial-markets-instruments","Get a running start in the high-stakes world of financial investment! This first course is designed to help you become an informed investor by providing you with the essential concepts for long-term success in managing money. \\n\\nYou’ll start by learning the role of financial markets and financial assets in a well-functioning economy. From there, you’ll learn about the wide range of financial instruments available in major asset classes, their features and valuations. You’ll explore how financial markets actually operate in the real world, focusing on how and where securities are traded and how various market types differ from one another in practice. You will also learn the basics of algorithmic trading, dark pools, buying on margin and short selling. \\n\\nBy the end of the course, learners will be able to:\\n•\\tList and distinguish the different financial instruments available to an investor\\n•\\tCompare global financial markets\\n•\\tExplain the features of equity, debt, and derivative instruments\\n•\\tDefine traditional and alternative asset classes\\n•\\tDiscuss different trading venues and mechanics of securities trading\\n•\\tDiscuss the current trends affecting today’s financial markets\\n\\nThis course is designed to be accessible for students of all knowledge levels and gives you the actionable foundation needed to manage money in a post-crisis world.\\n________________________________________\\nWEEK 1\\nModule 1: Introduction & Review of Elementary Finance Tools\\nThis module introduces the Investment and Portfolio Management Specialization, which is made up of four courses. This module discusses how the first course, Global Financial Markets and Assets, is organized. It outlines the different stages of the investment management process, which guides the focus of the Specialization. It also reviews basic finance concepts and tools such as time value of money, computing returns, discounting and compounding.\\nTopics covered include:\\n•\\tFamiliarize with the organization of the class\\n•\\tMeet the professor and your peers\\n•\\tExplain the investment management process\\n•\\tReview elementary concepts in finance\\n•\\tCompute present value or future value of a single cash flow\\n•\\tCompute present value of future value of a stream of cash flows\\n•\\tDefine an annuity or perpetuity\\n•\\tApply time value of money tools to solve basic mortgage, loan or retirement problems\\n________________________________________\\nWEEK 2\\nModule 2: Financial system & financial assets: fixed income securities\\nIn this and the next two modules, we cover the key institutional features of financial markets and instruments. We ask the following questions: Why do financial markets exist? What role do they play? What are financial assets and how are they different than real assets? How does it all come together? Basically, this is where I hope you will get to see the big picture of the entire financial system and how it comes together.\\nModule 2 focuses on fixed income securities. We'll get started with a review of basics of bond valuation. You will learn about short-term money market instruments, U.S. Treasury securities as well as corporate bonds. After module 2, you will be able to describe fixed income securities, be familiar with their institutional features, and identify their cash flows. Finally, you will learn how to value fixed income securities such as Treasury bills, zero-coupon or coupon-bonds and compute yields.\\n\\nTopics covered include:\\n•\\tExplain the roles of financial markets\\n•\\tDistinguish between real and financial assets\\n•\\tDefine and explain money market instruments, zero-coupon and coupon- bonds and features\\n•\\tIdentify the cash flows associated with fixed-income securities\\n•\\tDefine and explain bond market features\\n•\\tList the different types of Treasury securities and explain pricing and quoting conventions\\n•\\tList and define other long-term debt instruments such as corporate bonds, mortgage-backed securities, sovereign debt\\n•\\tFind the value of a zero-coupon or coupon-bonds\\n________________________________________\\nWEEK 3\\nModule 3: Financial system & financial assets: equity securities and derivatives\\nIn Module 3, we continue our overview of financial markets and instruments. We next focus on two other major asset classes: equity securities and derivative instruments. You will learn about how equity differs from fixed income securities, the cash flows associated with stock and preferred stock and how to find the value of a share. You will also learn about option strategies. After completing module 3, you will be able to describe all major asset classes, including derivative instruments such as options, forwards and futures. You will be able to explain how these differ from each other and their payoffs.\\n\\nTopics covered include:\\n•\\tDistinguish between equities and fixed income securities\\n•\\tDefine and explain the features of equity securities\\n•\\tIdentify the cash flows associated with equity securities\\n•\\tExplain dividend discount model\\n•\\tFind the value of a share of common stock or preferred stock\\n•\\tDefine and list different types of derivative securities\\n•\\tExplain option payoffs\\n•\\tDistinguish between a forward and futures contract\\n•\\tExplain forward and futures payoffs\\n•\\tIdentify traditional and alternative asset classes\\n________________________________________\\nWEEK 4\\nModule 4: Organization of financial markets and securities trading\\nIn this module, we discuss how financial markets actually work. We will talk about different trading venues and the mechanics of securities trading. I will emphasize a lot of terminology and the latest trends in securities trading to familiarize you with the institutional workings of financial markets. After this module, you will be able to compare different trading venues, trading mechanisms, and be able to explain different types of orders, including transactions like margin buying and short- selling; you will be familiar with the language and terminology you need in order to become an informed practitioner of investments.\\n\\nTopics covered include\\n•\\tExplain the roles of corporations, households, government, and financial intermediaries in the financial system\\n•\\tExplain price discovery process\\n•\\tDefine different type of orders\\n•\\tDistinguish between dealer vs. auction markets; different trading platforms\\n•\\tExplain margin buying and short-selling transactions\\n•\\tUnderstand the current trading environment such as algorithmic or high frequency trading, dark pools etc.","finance; stock-valuation; instrumentation-computer-programming; stock; bond-valuation; investment; financial-instrument; interest; market-economics; financial-markets","Investment and Portfolio Management",1.0,"https://www.coursera.org/specializations/investment-portolio-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[12.6,25]","Spanish","English","business","finance","kRFdpru_EeW6QBIGzzljVw"]
["Finance","Mergers & Acquisitions","Corporate Finance II: Financing Investments and Managing Risk","University of Illinois at Urbana-Champaign","Advanced",16.8,4.82,"https://www.coursera.org/learn/corporate-finance-two","In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. You will also learn how to measure and manage credit risk and how to deal with financial distress. You will discuss the mechanics of dividends and share repurchases, and how to choose the best way to return cash to investors. You will also learn how to use derivatives and liquidity management to offset specific sources of financial risk, including currency risks. Finally, You will learn how companies finance merger and acquisition decisions, including leveraged buyouts, and how to incorporate large changes in leverage in standard valuation models.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand how companies make financing, payout and risk management decisions that create value\\n•\\tMeasure the effects of leverage on profitability, risk, and valuation\\n•\\tManage credit risk and financial distress using appropriate financial tools\\n•\\tUnderstand the links between payout policies and company performance\\n•\\tUse derivatives and liquidity management to offset financial risks\\n•\\tPick an appropriate financing package for an M&A or leveraged buyout deal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leverage-finance; market-economics; finance; risk-management; investment; mergers-and-acquisitions; management; corporate-finance; corporate-bond; risk","Financial Management",6.0,"https://www.coursera.org/specializations/financial-management","Non Specialization","[8.5,20.9]","Korean","English","business","finance","oEsthEeREealuAr4icIOdw"]
["Finance","Mergers & Acquisitions","Corporate Finance I: Measuring and Promoting Value Creation","University of Illinois at Urbana-Champaign","Advanced",25.2,4.78,"https://www.coursera.org/learn/corporate-finance-measure-success","In this course you will learn how to use key finance principles to understand and measure business success and to identify and promote true value creation. You will learn how to use accounting information to form key financial ratios to measure a company’s financial health and to manage a company's short-term and long-term liquidity needs.  You will also learn how to use valuation techniques to make sound business investment and acquisition decisions. Finally, you will learn how to incorporate risk and uncertainty into investment decisions and how to evaluate the performance of existing investments.\\n\\nUpon successful completion of this course you will be able to:\\n•\\tUnderstand how companies make investment decisions that create value for shareholders\\n•\\tUse accounting statements to measure the financial health of a company\\n•\\tForecast and manage a company’s short- and long-term liquidity needs\\n•\\tMeasure the contribution of a new project or acquisition to shareholder value\\n•\\tIncorporate risk into investment decisions using the appropriate discount rates\\n•\\tEvaluate the performance of a company or divisions of a company\\n\\nThis course was previously entitled Financial Evaluation and Strategy: Corporate Finance. The course received an average rating of 4.7 out of 5 based on 177 reviews over the period of September 2015 through August 2016.  A detailed breakdown of ratings and reviews received for the prior version of the course, which is identical in content to the current course, is provided in the course orientation page.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","financial-plan; shareholders; finance; risk; mergers-and-acquisitions; investment; corporate-finance; shareholder-value; corporate-bond; management","Financial Management",5.0,"https://www.coursera.org/specializations/financial-management","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[14.5,31.6]","NA","English","business","finance","BvEMlUkvEeahWA4Td3Kvcw"]
["Finance","Mergers & Acquisitions","Corporate Strategy","University of London","Intermediate",14.5,4.76,"https://www.coursera.org/learn/corporatestrategy","Corporate strategy is the strategy a firm uses to compete across multiple businesses. Many small firms want to grow by entering new businesses. Many large firms already are in multiple businesses, e.g. a photo camera producer selling also sunglasses. \\n\\nWe developed this course to help you make good corporate strategy decisions. Of the many decisions a firm has to make, corporate strategy decisions are among the most consequential. We will look at these key corporate strategy decisions:\\n- Diversification: How and which businesses should your firm enter?\\n- Divestiture: How and from which businesses should your firm exit?\\n- Corporate HQ: How should we organize corporate headquarters to create value across the different businesses?","strategic-management; marketing-strategy; headquarters; business-strategy; diversification-marketing-strategy; divestment; marketing; analysis; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,21.7]","NA","English","business","business-strategy","wHbDKS72EeamIRKe7Ylq9w"]
["Finance","Mergers & Acquisitions","Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital","Erasmus University Rotterdam","Advanced",26.0,4.75,"https://www.coursera.org/learn/advanced-valuation-and-strategy","Hi and welcome to this course! \\n\\nWould you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!\\n\\nWe will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.\\n\\nOur treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis?\\n\\nThe tools we provide can improve your decisions in business and in daily life.\\n\\n* Who is this class for?\\nWe hope that our course appeals to (graduate) students in finance, economics, and business, as well as to high-ranking professionals and a general audience. This course is particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, CFOs, and those who aspire these affiliations. We offer this MOOC at 3 levels:\\n\\n1.Executive Summary: \\nThis 1-week module provides critical insights into the principles of corporate valuation and strategy. This is accessible for time-constrained executives and the general audience without any prior knowledge.\\n\\n2. Student Level:\\nThis level involves an understanding of the technical details.  This level requires basic knowledge of concepts in corporate finance, e.g., the time value of money, financial statement analysis, capital structure, and the relation between risk and returns. Learners of this level can skip week 1.\\n\\n3. Honors Level (honors certificate): \\nThis level is challenging, engaging, and compelling to an intellectually rigorous student.","decision-making; valuation-finance; finance; business-valuation; options-strategies; valuation-of-options; real-options-valuation; game-theory; mergers-and-acquisitions; real-options","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.5,37.7]","Spanish","English","business","finance","qTCeNxYVEeiu5xKRVYA-JA"]
["Finance","Mergers & Acquisitions","Private Equity and Venture Capital","Università Bocconi","Beginner",11.8,4.72,"https://www.coursera.org/learn/private-equity","The course deals with the analysis of the private equity and venture capital business. \\nOver the course, students will be provided with a deep understanding of the mechanism underpinning the creation and/or development of a firm and the financial support it can get from the financial system through venture capital investment.\\n\\nThe course tries to discover how special financial intermediaries (called private equity investors) finance through equity companies belonging to different stages of their life-cycle, starting from the very beginning (startup and early stage) to a more mature phase (i.e. expansion, mature age, etc.) or also staying into crises and decline. \\n\\nPrivate equity (named venture capital when the company is in the first phases of its life cycle) deals with very different activities, such as scouting, advisory, deal-making, valuation, and financing as financial intermediaries see it. \\n\\nCOURSE SYLLABUS\\nThe course is made up of four different modules: \\nWEEK 1 - Introduction to Private Equity and Venture Capital\\nWEEK 2 - Discovering Private Equity Investors: Legal Issues and Taxation\\nWEEK 3 - Management of Private Equity and Venture Capital Funds\\nWEEK 4 - Company Valuation And Deal Making In Private Equity Settings\\nWEEK 5 - Final Test\\nThroughout the course, guest speakers and practitioners will be interviewed to provide some examples of concrete applications of the contents presented.\\n\\nRECOMMENDED BACKGROUND\\nAn understanding of the basic concepts of corporate financing accounting principles is required, while prior knowledge of private equity and venture capital is not required however it is recommended, as this is a course designed to introduce you to the fundamental concepts in private equity and venture capital.","venture-capital; finance; investment; venture-capital-financing; funds; valuation-finance; private-equity; stock-valuation; private-equity-fund; stock","Non Specialization","Non Specialization","Non Specialization","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[7.2,14.7]","NA","English","business","finance","84pGjiPgEeWKeQ6ae81EbQ"]
["Finance","Mergers & Acquisitions","Corporate Financial Decision-Making for Value Creation","The University of Melbourne","Beginner",13.9,4.7,"https://www.coursera.org/learn/value-creation","In this course, participants will learn about the key financial decisions modern corporations face, as well as the alternative methods that can be employed to optimize the value of the firm’s assets. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).","management; risk; investment; corporate-bond; finance; corporate-finance; restructuring; project; mergers-and-acquisitions; risk-management","Essentials of Corporate Finance",3.0,"https://www.coursera.org/specializations/learn-finance","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[9,16.6]","Korean","English","business","finance","z27B3GC0EeWHVg55pNeHQQ"]
["Finance","Mergers & Acquisitions","Advanced Competitive Strategy","Ludwig-Maximilians-Universität München (LMU)","Intermediate",16.7,4.64,"https://www.coursera.org/learn/advanced-competitive-strategy","Advanced Competitive Strategy will introduce new topics and modules with even more real world examples and opportunities for student interaction than in the previous course Competitive Strategy (https://www.coursera.org/learn/competitivestrategy).\\n \\nIn Advanced Competitive Strategy, we will look at how companies can build up and maintain their customer base by increasing switching costs and facilitating strategic customer lock-ins. We will find out how firms can increase their profits by pursuing suitable price discrimination and product differentiation strategies.\\n \\nWe will look at examples of what is acceptable behavior under the premises of EU competition and US antitrust policies and discover exciting ways of how companies can increase their returns by strategically making use of network effects and economies of size. We will further intensify our newly acquired knowledge about network effects and discuss strategies that are explicitly tailored to network markets.\\n \\nWe will analyze the workings of mergers and acquisitions and, moreover, support you in considering alternative strategies that can help companies grow organically.","pricing; market-economics; switching-barriers; mergers-and-acquisitions; strategic-management; marketing; pricing-strategies; competitiveness; analysis; management","Competitive Strategy and Organization Design",2.0,"https://www.coursera.org/specializations/competitive-strategy","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[8,21]","Portuguese; Spanish; Chinese; Arabic","English","business","business-strategy","H3HGeBK4EeS0RyIACp5OCg"]
["Finance","Mergers & Acquisitions","Mergers and Acquisitions – The Relentless Pursuit of Synergy","Moscow Institute of Physics and Technology","Intermediate",26.0,4.54,"https://www.coursera.org/learn/mergers-and-acquisitions","The area of mergers and acquisitions (M&As) is special in finance. Incredible amounts of money are employed in such transactions. Deals draw a lot of public attention and dispute. Oftentimes, stories look more like fairy tales rather than financial reality.\\nThe key idea in any M&A transaction is to create value through a potentially synergetic activity. To this end, it is important to have a clear motive and implementation plan. Of special importance are the correct valuation, proper financing, and actual deal completion. But this is not the end – value mostly accrues from the post-merger integration. \\nThe understanding of the motives of various stakeholders is instrumental in the analysis of the potential creation of value.  \\nThe learners will gain insight into the core value creating M&A strategies. They will be able to use the obtained knowledge and skills to successfully advance in their career at a financial institution, as well as in the area of financial management at non-financial businesses. Finally, the Course is very helpful in successful completion of the Specialization’s Final Project.","banking; financial-modeling; investment-banking; mergers-and-acquisitions","Understanding Modern Finance",4.0,"https://www.coursera.org/specializations/understanding-modern-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[12.9,31]","NA","English","business","finance","IOyvw7_zEeejoA6gkzed5A"]
["Finance","Payments","The Future of Payment Technologies","University of Michigan","Beginner",11.5,4.83,"https://www.coursera.org/learn/paytech","Discover the future of payment technology, from mobile payments to tokenization.\\n\\nIn this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B).\\n\\nYou will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems.\\n\\nYou’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.","bitcoin; financial-technology; payment-systems; finance; mobile-payments","Financial Technology (Fintech) Innovations",1.0,"https://www.coursera.org/specializations/financialtechnology","This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks.\\n\\nThe specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform.\\n\\nIt is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.","[4.7,15.7]","NA","English","business","finance","GA5E99r9EemVeQo24Bmtqg"]
["Finance","Payments","Blockchain: Foundations and Use Cases","ConsenSys Academy","Intermediate",14.9,4.61,"https://www.coursera.org/learn/blockchain-foundations-and-use-cases","This course is the definitive introduction to blockchain for both the developer and non-developer audience. Beyond the technology, this course will introduce you to some of the philosophy behind decentralization and why there is so much excitement around it. \\n\\nDuring the first three modules, you'll be introduced to blockchain and the technology behind it. In module four, we'll go beyond bitcoin and delve deeper into a next-generation blockchain called Ethereum to introduce you to what modern blockchains can do. The use cases featured in the final module are drawn from among the businesses in ConsenSys' startup portfolio. We believe we're uniquely positioned to present you with a valuable behind-the-scenes look at the people and companies working in this space to help give you a better understanding of the business side of blockchain.\\n\\nTogether, we'll examine businesses use cases, hear from industry leaders, and give you the opportunity to develop and analyze a use case yourself. With this course, not only will you be the one who is able to explain blockchain to your colleagues, you'll be well on your way to making educated business decisions with your new, foundational understanding of the technology.","bitcoin; cryptography; proof-of-work-system; algorithms; cryptocurrency; blockchains; ethereum; use-case; public-key-cryptography; integration-testing","Non Specialization","Non Specialization","Non Specialization","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[8.5,19.5]","Chinese","English","computer-science","computer-security-and-networks","BwKNlSxKEei1rhIOBe4xWg"]
["Finance","Payments","Smart Contracts","The State University of New York","Advanced",10.4,4.59,"https://www.coursera.org/learn/smarter-contracts","This second course of the Blockchain specialization will help you design, code, deploy and execute a smart contract – the computational element of the blockchain technology. Smart contracts allow for implementing user-defined operations of arbitrary complexity that are not possible through plain cryptocurrency protocols. They allow users to implement conditions, rules and policies of the domain applications. Smart contracts are a powerful feature that, when properly designed and coded, can result in autonomous, efficient and transparent systems. \\n\\nYou will design and program smart contracts in Solidity language, test and deploy them in the Remix development environment, and invoke them from a simple web interface that Remix provides. This course features best practices for designing solutions with smart contracts using Solidity and Remix IDE.\\n\\nMain concepts are delivered through videos, demos and hands-on exercises.","syntax; ethereum; development-testing; solidity; smart-contract; best-practice; design-by-contract; computer-programming; blockchains; compiler","Blockchain",2.0,"https://www.coursera.org/specializations/blockchain","Non Specialization","[6.5,12.4]","Korean","English","computer-science","software-development","B8Syn4zlEeeFiQ7tViah-g"]
["Finance","Regulations and Compliance","Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.81,"https://www.coursera.org/learn/corporate-commercial-law-part2","This course is the second course in a two-part series on corporate and commercial law. In this part, we focus on three main topics: business organizations, business financing, and governmental regulation. In the first module, we discuss the characteristics of a number of the most common forms of business entities, such as corporations and LLCs. Module two is devoted to debtor-creditor relationships, including bank financing, debt financing, secured transactions, and bankruptcy. We wrap up the course with two modules that focus on the most important aspects of governmental regulation, including the process by which administrative agencies make rules, and the regulation of anti-competitive behavior and securities transactions.","corporate-law; partnership; business-law; bankruptcy; corporate-bond; initial-public-offering; law; competition-law; capital-market; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.2,17.1]","NA","English","business","business-essentials","Gjz1aNrOEeew_BLWWJGXIA"]
["Finance","Regulations and Compliance","Financial Engineering and Risk Management Part II","Columbia University","Advanced",25.5,4.72,"https://www.coursera.org/learn/financial-engineering-2","Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods.  The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems  (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis. \\n\\nWe hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the \"rocket science\" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism.","risk; real-options-valuation; real-options; finance; pricing; derivative-finance; derivative; financial-engineering; risk-management; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.9,35.5]","NA","English","business","finance","szecWzeyEeSnNyIACxiLYQ"]
["Finance","Regulations and Compliance","Financial Regulation in Emerging Markets and the Rise of Fintech Companies","University of Cape Town","Intermediate",21.1,4.65,"https://www.coursera.org/learn/financial-regulation","This course gives an overview of the changing regulatory environment since the 1997 Asian and 2008 global financial crisis. Following these two major crises, governments around the globe enacted a set of far-reaching new financial regulations that are aimed towards safeguarding financial stability. However, banks find it increasingly difficult to be profitable in this new regulatory environment. Technology, at the same time, has taken important leaps forward with the emergence of sophisticated models of artificial intelligence and the invention of the blockchain. These two developments fuel the emergence of fintech companies around the world. \\n\\nThis course discusses fintech regulation in emerging markets using case studies from China and South Africa. The course pays special attention to the socioeconomic environment in emerging markets, as well as to political risk as a major source of uncertainty for fintech entrepreneurs. Peer-to-peer lending and remittances are used as leading examples for fintech innovation in emerging markets.","finance; financial-technology; business-model; financial-regulation; added-value; financial-literacy; machine-learning; supply-and-demand","Fintech Startups in Emerging Markets",1.0,"https://www.coursera.org/specializations/fintech-startups-emerging-markets","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[11.2,26.3]","NA","English","business","finance","z9pU78ZoEeeDPAp85ryzQg"]
["Finance","Regulations and Compliance","FinTech Security and Regulation (RegTech)","The Hong Kong University of Science and Technology","Advanced",14.7,4.43,"https://www.coursera.org/learn/regtech","This course \"FinTech Security and Regulation (RegTech)\" help you to understand RegTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes, e.g. Regulations to cryptocurrencies like BitCoin & Initial Coin Offering (ICO). It presents the views of several professors from the top business school in Asia as well as perspectives from industry professionals.\\n\\nYou will learn about how FinTech and RegTech disrupt and transform finance industry, such as challenges in protecting data and security with digital forensics, risk management and corporate governance in banking industry in terms of Know Your Customer (KYC) and Anti Money Laundering (AML), and how governments in different countries take initiatives in FinTech and RegTech.","project-management; data-protection; digital-forensics; financial-technology; financial-regulation; finance","FinTech: Finance Industry Transformation and Regulation",2.0,"https://www.coursera.org/specializations/fintech","Non Specialization","[8.4,16.4]","Chinese","English","business","finance","MMNHvdoSEeeCCwo4zlIXRA"]
["Finance","Risk Management","Corporate Finance II: Financing Investments and Managing Risk","University of Illinois at Urbana-Champaign","Advanced",16.8,4.82,"https://www.coursera.org/learn/corporate-finance-two","In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. You will also learn how to measure and manage credit risk and how to deal with financial distress. You will discuss the mechanics of dividends and share repurchases, and how to choose the best way to return cash to investors. You will also learn how to use derivatives and liquidity management to offset specific sources of financial risk, including currency risks. Finally, You will learn how companies finance merger and acquisition decisions, including leveraged buyouts, and how to incorporate large changes in leverage in standard valuation models.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand how companies make financing, payout and risk management decisions that create value\\n•\\tMeasure the effects of leverage on profitability, risk, and valuation\\n•\\tManage credit risk and financial distress using appropriate financial tools\\n•\\tUnderstand the links between payout policies and company performance\\n•\\tUse derivatives and liquidity management to offset financial risks\\n•\\tPick an appropriate financing package for an M&A or leveraged buyout deal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leverage-finance; market-economics; finance; risk-management; investment; mergers-and-acquisitions; management; corporate-finance; corporate-bond; risk","Financial Management",6.0,"https://www.coursera.org/specializations/financial-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[8.5,20.9]","Korean","English","business","finance","oEsthEeREealuAr4icIOdw"]
["Finance","Risk Management","Financial Engineering and Risk Management Part II","Columbia University","Advanced",25.5,4.72,"https://www.coursera.org/learn/financial-engineering-2","Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods.  The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems  (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis. \\n\\nWe hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the \"rocket science\" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism.","risk; real-options-valuation; real-options; finance; pricing; derivative-finance; derivative; financial-engineering; risk-management; management","Non Specialization","Non Specialization","Non Specialization","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[17.9,35.5]","NA","English","business","finance","szecWzeyEeSnNyIACxiLYQ"]
["Finance","Risk Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Finance","Risk Management","Portfolio and Risk Management","University of Geneva","Intermediate",12.4,4.68,"https://www.coursera.org/learn/portfolio-risk-management","In this course, you will gain an understanding of the theory underlying optimal portfolio construction, the different ways portfolios are actually built in practice and how to measure and manage the risk of such portfolios.\\n\\nYou will start by studying how imperfect correlation between assets leads to diversified and optimal portfolios as well as the consequences in terms of asset pricing. Then, you will learn how to shape an investor's profile and build an adequate portfolio by combining strategic and tactical asset allocations. Finally, you will have a more in-depth look at risk: its different facets and the appropriate tools and techniques to measure it, manage it and hedge it.\\n\\nKey speakers from UBS, our corporate partner, will regularly add a practical perspective on these different topics as you progress through the course.","portfolio-theories; value-at-risk; modern-portfolio-theory; investment; portfolio-optimization; risk-management; mathematical-optimization; finance; risk; management","Investment Management",3.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[7.6,15]","NA","English","business","finance","lVrbSnKzEeWIfhKr_WcYsQ"]
["Finance","Risk Management","FinTech Risk Management","The Hong Kong University of Science and Technology","Intermediate",17.0,4.5,"https://www.coursera.org/learn/fintech-risk-management","This course “FinTech Risk Management” help you understand risk management and corporate governance in finance industry with the disruption by FinTech and RegTech. You will become more confident to analyse and make recommendations to develop business strategies balancing the risks in operation, reputation and the stability of finance firms.\\n\\nYou will learn about new challenges of compliance with financial requirements and government regulations and how you can deal with these changes, strategies in analysing FinTech risk and how operation risks increase in finance industry in this changing environment. As tech firms are now becoming more like finance firms such as Alibaba, Apple, and Tencent etc., you will learn about the importance of IT compliance and assurance and practical skills in dealing with these changes.","financial-risk-management; management; financial-risk; finance; financial-technology; risk; risk-management; integration-testing; enterprise-risk-management","FinTech: Finance Industry Transformation and Regulation",3.0,"https://www.coursera.org/specializations/fintech","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[10.1,23.5]","Chinese","English","business","business-essentials","RHsxQtoSEeeHwhJGCo5gVg"]
["Finance","Risk Management","Portfolio Selection and Risk Management","Rice University","Beginner",31.2,4.49,"https://www.coursera.org/learn/portfolio-selection-risk-management","When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution. Finally, you will learn about the main pricing models for equilibrium asset prices.\\n\\nLearners will:\\n•\\tDevelop risk and return measures for portfolio of assets\\n•\\tUnderstand the main insights from modern portfolio theory based on diversification\\n•\\tDescribe and identify efficient portfolios that manage risk effectively\\n•\\tSolve for portfolio with the best risk-return trade-offs\\n•\\tUnderstand how risk preference drive optimal asset allocation decisions\\n•\\tDescribe and use equilibrium asset pricing models.","asset; portfolio-optimization; analysis; modern-portfolio-theory; portfolio-construction; risk-analysis; management; mathematical-optimization; risk; risk-management","Investment and Portfolio Management",2.0,"https://www.coursera.org/specializations/investment-portolio-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","[21.7,46]","NA","English","business","finance","uwDWjLu_EeWH_w6eDJDPoQ"]
["Finance","Securities Sales","Bonds & Stocks","University of Michigan","Intermediate",6.4,4.72,"https://www.coursera.org/learn/bonds-and-stocks","This course is an introduction to bonds and stocks and how they are valued using the principles of time value of money (TVM) covered in the two preceding courses in this specialization. You’ll learn how money is raised by business to support or expand their operations. Since individuals and households typically lend money to governments and businesses, this course will help you make personal financial decision-making. This course is part of a specialization titled “Foundational Finance for Strategic Decision Making” and is helpful if you are interested in applying to an MBA degree program or learning the foundations of finance to be more effective in your career.\\n\\nThe pedagogy of the course is applied and problem-based with assignments covering every part of the course that each contain multiple problems that, by design, are introductory and simpler than the more real-world applications you will confront in the real world and more advanced courses. The assignments are all designed by the faculty lead and machine graded.","calibration; stock-valuation; stock; investment; value-investing; bond-valuation; personal-finance; finance; financial-planning-business; trading","Foundational Finance for Strategic Decision Making",3.0,"https://www.coursera.org/specializations/foundational-finance","Non Specialization","[3.2,8.6]","NA","English","business","finance","vNVV9dDREei8lg5uAWQo9g"]
["Finance","Securities Sales","Financial Engineering and Risk Management Part II","Columbia University","Advanced",25.5,4.72,"https://www.coursera.org/learn/financial-engineering-2","Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods.  The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems  (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis. \\n\\nWe hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the \"rocket science\" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism.","risk; real-options-valuation; real-options; finance; pricing; derivative-finance; derivative; financial-engineering; risk-management; management","Non Specialization","Non Specialization","Non Specialization","This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.","[17.9,35.5]","NA","English","business","finance","szecWzeyEeSnNyIACxiLYQ"]
["Finance","Securities Trading","Trading Algorithms","Indian School of Business","Beginner",9.6,4.5,"https://www.coursera.org/learn/trading-algorithm","This course covers two of the seven trading strategies that work in emerging markets. The seven  include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company.\\n\\nIn the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy.\\n\\nThe first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD).","investment; f1-score; algorithmic-trading; post-earnings-announcement-drift; investment-strategy; discipline; market-economics; algorithmics; trading-strategy; trading","Trading Strategies in Emerging Markets",2.0,"https://www.coursera.org/specializations/trading-strategy","This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.","[4.8,12.6]","NA","English","business","finance","piGPuD-wEeaYxQofsrK9hw"]
["Finance","Securities Trading","Advanced Trading Algorithms","Indian School of Business","Beginner",10.5,4.43,"https://www.coursera.org/learn/advanced-trading-algorithms","This course will provide back test results for all the strategies in developed and emerging markets. The learner will also be taught scientific ways of back testing without succumbing to either look ahead (or) survival bias.\\n\\nYou will learn various methods of building a robust back testing system for the strategies discussed in the previous course. You will be taught how to differentiate between mere data mining and results based on solid empirical or theoretical foundation. Next, you will learn the ways and means of back testing the results and subjecting the back test results to stress tests. After which, you will learn the various ways in which transaction costs and other frictions could be incorporated in the back testing algorithm. Finally, you will learn techniques for measuring a strategies' performance and the concept of risk adjusted return. You will use some of the famous measures for risk adjusted returns such as Sharpe ratio, Treynor's Ratio and Jenson's Alpha. You will see how to pick an appropriate benchmark for a proposed fund.","algorithms; market-economics; investment; algorithmics; beta-finance; finance; investment-strategy; trading-strategy; algorithmic-trading; trading","Trading Strategies in Emerging Markets",3.0,"https://www.coursera.org/specializations/trading-strategy","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[5,14.7]","NA","English","business","finance","nPMwDW6eEea2_hI5YizWBw"]
["Finance","Underwriting","Capital Markets and Financial Institutions – How to Survive Them","Moscow Institute of Physics and Technology","Intermediate",27.2,4.64,"https://www.coursera.org/learn/capital-markets-and-financial-institutions","Capital markets and financial institutions are all around us. This is an enormous industry in which powerful players oftentimes challenge investors and the public at large and expose them to significant risks.\\nThis Course provides for the deep understanding of the core ideas, concepts, and mechanisms of the modern capital market in a learner-friendly way. We will analyze the market’s most fundamental problems, realize the intrinsic interests of the market participants, reveal the true meaning of certain financial terms, and uncover credible signals of the likely behavior of economic agents – all that with little math and a lot of fun.\\nThe learners will be much better positioned with respect to the financial environment. They will see through the financial news, reveal the risks of the financiers’ wishful thinking promises, and protect themselves against dangerous adventures. The learners will get the opportunity to use the obtained knowledge, skills, and understanding for the successful professional career in the financial and other business areas, as well as in their day-to-day life.","investment; banking; finance; asset; stock; market-liquidity; moral-hazard; investment-banking; financial-institution; capital-market","Understanding Modern Finance",1.0,"https://www.coursera.org/specializations/understanding-modern-finance","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[16.2,33.7]","NA","English","business","finance","zPTTgL_xEeejoA6gkzed5A"]
["Human Resources","Best Courses","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Human Resources","Best Courses","Conflict Transformation","Emory University","Intermediate",15.8,4.74,"https://www.coursera.org/learn/conflict-transformation","This course introduces you to the concept of conflict transformation and how it differs from conflict resolution, management, and prevention. We’ll see how conflict offers opportunities for constructive change, and we'll explore different tools and methods for engaging conflict constructively.\\n\\nRegardless of your familiarity with the topic, you'll get insightful tips, portable handouts, lively demonstrations, and personalized assignments to bridge and enhance your own knowledge and history within the conflict narrative. In any area of your life, you'll benefit from the practical techniques and transferable information offered throughout this five-week journey.","psychologies; arbitration; communication; listening; facilitation; analysis; active-listening; interaction; psychology; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,18.4]","Arabic","English","business","business-essentials","FIMs4GViEeanZAqT_8L4Zw"]
["Human Resources","Best Courses","Leadership in 21st Century Organizations","Copenhagen Business School","Beginner",37.1,4.72,"https://www.coursera.org/learn/leadership-21st-century","Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.\\n\\nThe course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591 \\n\\nAfter taking the course, you'll be able to:\\no   Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;\\no   Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;\\no   Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);\\no   Avoid \"slippery slope\" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.","strategic-management; communications-management; management-theory; corporate-governance; leadership; team-management; collaboration; communication; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,67.4]","NA","English","business","leadership-and-management","sK74dCWgEeW8-A6tkjXxWQ"]
["Human Resources","Best Courses","Managing Employee Performance","University of Minnesota","Beginner",14.9,4.69,"https://www.coursera.org/learn/employee-performance","Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees.  Performance management is a process that helps managers achieve the goal of getting the best from their employees. \\n\\nIn this third course in the Human Resources for People Managers specialization,  we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals.  These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal.","resource; employment; performance-appraisal; performance; performance-management; human-resources; human-resource-management; organizational-culture; management; integration-testing","Human Resource Management: HR for People Managers",3.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.6,18]","Arabic; Vietnamese; Korean","English","business","business-essentials","4BkqMnE8EeWxvQr3acyajw"]
["Human Resources","Best Courses","Organizational Design and Management","HEC Paris","Advanced",27.7,4.69,"https://www.coursera.org/learn/organizational-design-management","This course is aimed at everyone with an interest in entrepreneurship and innovation. This includes graduate and undergraduate students, current, past, and future entrepreneurs, managers of innovative firms, or managers in charge of leading innovation in their company. There is no formal prerequisite for this course. \\n\\nThroughout the course you’ll be exposed to an in-depth analysis of four applied case studies of successful ventures, as well as both theoretical and applied frameworks that will help you to better design and manage your organization. To begin, we recommend you take a few minutes to explore our website. Click on Course Content on the left to see what material we’ll cover in each of the four modules. You can also preview the assignments you’ll need to complete to pass the course. Click Discussions to see the forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take you about 4 weeks to complete. By the time you finish it, you’ll have learned to:\\n\\n•Evaluate the value-creating potential of your business idea and design the business model that is best suited to capture this value\\n• Manage talent and creativity by structuring the right incentives for existing employees as well as design strategies to retain and attract the very best talent\\n• Design formal organization structures that fit with the strategy of your business and the culture of your organization\\n• Understand and manage norms guiding behavior in organizations\\n• Recognize and manage bottlenecks hampering organizational growth\\n\\nWe really hope that you’ll enjoy the learning journey ahead. Good luck as you get started and we look forward to seeing you in class!\\n\\nProfs. Giada Di Stefano and Tomasz Obloj and HEC Paris Digital Learning\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program.","business-modeling; management-organizations; organizational-culture; incentive; management; organization-design; business-model; organizational-structure; innovation; modeling","Managing Innovation and Design Thinking",3.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[15.4,29.1]","French","English","business","business-strategy","nM26_CAgEeeIYhLE7kr1cg"]
["Human Resources","Best Courses","Advanced Interviewing Techniques","University of Maryland, College Park","Intermediate",22.0,4.69,"https://www.coursera.org/learn/interview-techniques","People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral,  interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand.\\n\\nYou will be able to:\\n\\n1.  Identify what the hiring organization is looking for in using behavioral interviewing techniques.\\n\\n2.  List the steps in the S.T.A.R. response strategy and apply the steps, using reasonably correct language, to respond to  behavioral interview questions.\\n\\n3.  Use your responses to behavioral and competency-based questions to communicate your personal values.\\n\\n4.  Identify what the hiring organization is looking for in asking situational and wild-card interview questions.\\n\\n5.  List the steps in the P.R.E.P. and 5 W's response strategies and apply the steps, using reasonably correct language, to answer at least one wild-card and two situational interview questions.\\n\\n6.  Develop an optimal strategy for responding to the weaknesses question, based on recognizing why a hiring organization asks these questions.\\n\\n7.  Demonstrate your personal strengths and maturity through your responses to the weaknesses question.\\n\\n8.  Correctly apply hedging language to soften a negative and boosting language to emphasize a positive aspect of your professional and/or academic background.\\n\\n9.  Ask questions to determine how well an organization fits with your personality, career goals and salary objectives.\\n\\n10. Ask questions that communicate your competencies and strengths.\\n\\n11.  Negotiate the best job offer and compensation package for yourself.\\n\\n12.  Perform successfully on telephone interviews.","storytelling; interview; salary; programming-interview; recruiting; writing; recruitment","Interviewing and Resume Writing in English",3.0,"https://www.coursera.org/specializations/english-interview-resume","This specialization will help you develop the English language strategies and communication skills you need to advance in your professional career. Whether you already have a successful career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, or whether you’re coming back into the world of work after some time away – if you believe in working for more than a paycheck, then this specialization will help you. The core courses cover preparing for a successful job search, including self research and research of the job market and industries of interest; strengthening your interview skills by recognizing what hiring managers are looking for and taking steps to prepare for the types of tough questions today's premier companies use; and preparing a resume, cover letter and supporting business documents. The capstone will allow you to apply the skills you learn in this specialization to your own job search.\\n\\nA key benefit of this specialization is the opportunities you'll have to practice your interviewing skills with other job-seekers from around the world. You’ll give them feedback and they’ll give you feedback. In this process, you’ll gain new insight into what makes a speaker successful and you’ll gain confidence in your English interviewing skills.","[7.8,34.7]","Arabic","English","language-learning","learning-english","koALKnp3EeWX2xK7ROQidQ"]
["Human Resources","Best Courses","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Human Resources","Best Courses","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Human Resources","Best Courses","Personal Leadership Development Planning and Leading High Performing Teams","Rice University","Intermediate",19.2,4.58,"https://www.coursera.org/learn/leadership-development-planning","An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.","motivation; performance; project; leadership; smart-criteria; plan; leadership-development; writing; project-team; personal-advertisement","Leadership Development for Engineers",3.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[7.5,33.8]","NA","English","business","leadership-and-management","A5jeDWhuEeak0hLPfPzoPw"]
["Human Resources","Best Courses","Managing Talent","University of Michigan","Intermediate",15.7,4.42,"https://www.coursera.org/learn/managing-talent","In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. In addition, you will learn how to develop and coach your talent so that they can realize their full potential at work. Altogether, you will gain a thorough understanding of the complete cycle of managing talent and creating a robust talent pipeline for your team and organization.\\n\\nManaging and developing talent is one of the top 3 issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations.","resource-management; performance; resource; talent-management; human-resources; employment; onboarding; coaching; management; recruitment","Leading People and Teams",2.0,"https://www.coursera.org/specializations/leading-teams","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[10.3,21.1]","Russian; Chinese; Vietnamese","English","business","leadership-and-management","we5nljlYEeWO-Qq6rEZAow"]
["Human Resources","Benefits","Organizational Design and Management","HEC Paris","Advanced",27.7,4.69,"https://www.coursera.org/learn/organizational-design-management","This course is aimed at everyone with an interest in entrepreneurship and innovation. This includes graduate and undergraduate students, current, past, and future entrepreneurs, managers of innovative firms, or managers in charge of leading innovation in their company. There is no formal prerequisite for this course. \\n\\nThroughout the course you’ll be exposed to an in-depth analysis of four applied case studies of successful ventures, as well as both theoretical and applied frameworks that will help you to better design and manage your organization. To begin, we recommend you take a few minutes to explore our website. Click on Course Content on the left to see what material we’ll cover in each of the four modules. You can also preview the assignments you’ll need to complete to pass the course. Click Discussions to see the forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take you about 4 weeks to complete. By the time you finish it, you’ll have learned to:\\n\\n•Evaluate the value-creating potential of your business idea and design the business model that is best suited to capture this value\\n• Manage talent and creativity by structuring the right incentives for existing employees as well as design strategies to retain and attract the very best talent\\n• Design formal organization structures that fit with the strategy of your business and the culture of your organization\\n• Understand and manage norms guiding behavior in organizations\\n• Recognize and manage bottlenecks hampering organizational growth\\n\\nWe really hope that you’ll enjoy the learning journey ahead. Good luck as you get started and we look forward to seeing you in class!\\n\\nProfs. Giada Di Stefano and Tomasz Obloj and HEC Paris Digital Learning\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program.","business-modeling; management-organizations; organizational-culture; incentive; management; organization-design; business-model; organizational-structure; innovation; modeling","Managing Innovation and Design Thinking",3.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[15.4,29.1]","French","English","business","business-strategy","nM26_CAgEeeIYhLE7kr1cg"]
["Human Resources","Compensation","Managing Employee Performance","University of Minnesota","Beginner",14.9,4.69,"https://www.coursera.org/learn/employee-performance","Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees.  Performance management is a process that helps managers achieve the goal of getting the best from their employees. \\n\\nIn this third course in the Human Resources for People Managers specialization,  we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals.  These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal.","resource; employment; performance-appraisal; performance; performance-management; human-resources; human-resource-management; organizational-culture; management; integration-testing","Human Resource Management: HR for People Managers",3.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.6,18]","Arabic; Vietnamese; Korean","English","business","business-essentials","4BkqMnE8EeWxvQr3acyajw"]
["Human Resources","Compensation","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions. As part of the course, you will meet a number of practicing sales managers who share their experience and knowledge. The learning outcomes are:\\n\\n· Develop a plan for organizing, staffing and training a sales force.\\n\\n· Identify the key factors in establishing and maintaining high morale in the sales force.\\n\\n· Develop an effective sales compensation plan.\\n\\n· Evaluate the performance of a sales person.\\n\\n· Organize sales territories to maximize selling effectiveness.\\n\\n· Evaluate sales and sales management strategies in relation to current legal and ethical standards of practice.","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Human Resources","Compensation","Compensation, Expenses and Quotas","West Virginia University","Advanced",18.5,4.44,"https://www.coursera.org/learn/compensation-expenses-quotas","This course is the third part of the Sales Operations/Management Specialization. In it, we will discuss some of the financial aspects involved in managing a sales force. Students will learn about the options available for sales force compensation, the different types plans you can use to manage your sales expenses, and how you can use quotas to help your salespeople achieve goals.","sales","Sales Operations/Management",3.0,"https://www.coursera.org/specializations/sales-operations","Non Specialization","[8,25.6]","Vietnamese","English","business","leadership-and-management","RTWticZtEeerGhJkyskCRg"]
["Human Resources","Employee Relations","Conflict Transformation","Emory University","Intermediate",15.8,4.74,"https://www.coursera.org/learn/conflict-transformation","This course introduces you to the concept of conflict transformation and how it differs from conflict resolution, management, and prevention. We’ll see how conflict offers opportunities for constructive change, and we'll explore different tools and methods for engaging conflict constructively.\\n\\nRegardless of your familiarity with the topic, you'll get insightful tips, portable handouts, lively demonstrations, and personalized assignments to bridge and enhance your own knowledge and history within the conflict narrative. In any area of your life, you'll benefit from the practical techniques and transferable information offered throughout this five-week journey.","psychologies; arbitration; communication; listening; facilitation; analysis; active-listening; interaction; psychology; integration-testing","Non Specialization","Non Specialization","Non Specialization","Master the fundamentals of conflict resolution, harness the power of positive conflict, and hone your intercultural communication skills. In this Specialization, you’ll learn to strengthen your personal and professional relationships by constructively addressing conflicts between individuals and within organizations. You’ll build skills specifically aimed at managing intercultural conflicts in today’s global society, and you’ll explore how competing interests and goals, power imbalances, and other factors influence the nature of conflict and management strategies. In the final Capstone Project, you’ll analyze a specific conflict and outline an approach to management and resolution.","[9,18.4]","Arabic","English","business","business-essentials","FIMs4GViEeanZAqT_8L4Zw"]
["Human Resources","Employee Relations","Relationship Management","Rice University","Beginner",18.5,4.7,"https://www.coursera.org/learn/relationship-management","To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.","leadership-development; engineering-management; meeting; leadership; customer-relationship-management; project-management; sales; management; collaboration; communication","Leadership Development for Engineers",2.0,"https://www.coursera.org/specializations/leadership-development-engineers","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[7.2,31.8]","Vietnamese","English","business","leadership-and-management","sRAtPGhtEeab8hJTez1v6w"]
["Human Resources","Employee Relations","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Human Resources","Employee Relations","Mediation and Conflict Resolution","ESSEC Business School","Intermediate",14.6,4.56,"https://www.coursera.org/learn/conflict-resolution-mediation","Mediation is a crucial means to reaching peaceful and agreed solutions in today’s world – on an international, political, industrial, peace-keeping or social level. \\n\\nWith the course you will be able to choose and lead a mediation process. You will gain a deeper understanding of workplace and international conflict resolution. Fundamentals of Negotiation are required to complete this MOOC. You can acquire them through our MOOC \"Negotiation Fundamentals\".\\n\\nAfter this course, you will be able to: \\n\\nDefine what a mediation is and choose when to use it;\\nList different types of mediation;\\nIdentify typical challenges and difficulties that most mediators face;\\nChoose the adequate strategies within a repertoire of options;\\nIdentify the do’s and don’ts in mediation.\\n\\nThis MOOC offers video lectures from leading experts, interactive questions, case studies, practice and graded quizzes.\\n\\nDesigned as a logical follow on from the suite of ESSEC IRENE online courses in negotiation, this course about mediation and conflict resolution teaches a whole set of additional skills and approaches. Developed by one of Europe’s leading institutes of research and education in negotiation and mediation, ESSEC IRENE, this course provides you with a meaningful and effective bouquet of practical cases, tools, approaches and skills to put your mediation into high-impact practice.","speech; conflict-resolution; organizational-conflict; learning; project; organizational-structure; weighting; arbitration; negotiation; integration-testing","Negotiation, Mediation and Conflict Resolution",3.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[9.1,19.6]","German","English","business","leadership-and-management","pPsJvhv9EealIRJP087Tdw"]
["Human Resources","Human Resources Operations","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Human Resources","Leadership Development","Foundations of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",15.2,4.78,"https://www.coursera.org/learn/everyday-leadership-foundation","In this course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills.\\n\\nLearners:\\n•\\tUnderstand why and how leadership skills are so critical to organizational success\\n•\\tKnow how to use leadership skills to work more effectively with others, and are able to organize teams to work more effectively together\\n•\\tWill be able to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leadership; decision-making; analysis; team-management; communication; group-decision-making; leadership-development; strategic-leadership; motivation; management","Strategic Leadership and Management",1.0,"https://www.coursera.org/specializations/strategic-leadership","Non Specialization","[9.2,16.9]","NA","English","business","leadership-and-management","XupniISSEeWcSw7mZ7gPOw"]
["Human Resources","Leadership Development","High Performance Collaboration: Leadership, Teamwork, and Negotiation","Northwestern University","Beginner",20.2,4.76,"https://www.coursera.org/learn/leadership-collaboration","Are leaders born or made?  Learn the essential skills to develop and expand your leadership repertoire,  design teams for collaboration, and craft win-win negotiation strategies. High Performance Collaboration: Leadership, Teamwork, and Negotiation focuses on leadership, teamwork, and negotiation. Students will engage in self-assessments to analyze their leadership style, develop team charters to optimize their groups, and develop a game plan for effective negotiation.\\n\\nRecurring course sessions repeat every 2 weeks on Monday with an enrollment period of 5 days.","negotiation; emotional-intelligence; collaboration; team-management; leadership-development; management; communication; leadership; strategic-leadership; team-building","Organizational Leadership",1.0,"https://www.coursera.org/specializations/organizational-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[8.8,32.1]","Vietnamese; Arabic","English","business","leadership-and-management","g2OnMD-OEeWZtA4u62x6lQ"]
["Human Resources","Leadership Development","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","cross-cultural-communication; leadership; conflict-resolution; communication; organizational-conflict; intercultural-communication; social-network; leadership-development; management; motivation","Non Specialization","Non Specialization","Non Specialization","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[9.9,20.7]","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["Human Resources","Leadership Development","Leadership in 21st Century Organizations","Copenhagen Business School","Beginner",37.1,4.72,"https://www.coursera.org/learn/leadership-21st-century","Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.\\n\\nThe course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591 \\n\\nAfter taking the course, you'll be able to:\\no   Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;\\no   Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;\\no   Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);\\no   Avoid \"slippery slope\" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.","strategic-management; communications-management; management-theory; corporate-governance; leadership; team-management; collaboration; communication; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[12.6,67.4]","NA","English","business","leadership-and-management","sK74dCWgEeW8-A6tkjXxWQ"]
["Human Resources","Leadership Development","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Human Resources","Leadership Development","Ethical Leadership Through Giving Voice to Values","University of Virginia","Intermediate",19.0,4.69,"https://www.coursera.org/learn/uva-darden-giving-voice-to-values","This course offers an action-oriented introduction to Giving Voice to Values (or GVV), an exciting new approach to values-driven leadership development in the workplace, in business education and in life. \\n\\nGVV is not about persuading people to be more ethical, but instead it starts from the premise that most of us already want to act on our values, but that we also want to feel that we have a reasonable chance of doing so effectively. Through positive, real life examples, pre-scripting, rehearsal and peer coaching, GVV builds the skill, the confidence and likelihood that we will act on our values more often and more successfully. Based on research and practice, with over 1,000 pilots in educational settings and companies on all seven continents, GVV helps answer the questions: “What if I were going to act on my values? What would I say and do? How could I be most effective?”\\n\\nYou will come away from this course with an expanded toolkit, as well as practice, in a variety of methods and techniques for voicing and enacting your own values and principles. You will develop and practice leadership skills in \"peer coaching” with other learners. Through cases and stories based on recognizable workplace, classroom and life values conflicts, you will apply the GVV techniques and “re-frames”, expanding your repertoire for possible action as well as identifying and rehearsing responses that are likely to be most effective. Through this practice, you will gain greater confidence and competence in voicing and enacting your values effectively.","integration-testing; leadership-development; value-premium; exercise; leadership; choice; ethics; speech; communication; decision-making","Non Specialization","Non Specialization","Non Specialization","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[7.3,28.6]","NA","English","business","leadership-and-management","m3-YVtKREeaskwrhgK9PcA"]
["Human Resources","Leadership Development","Women in Leadership: Inspiring Positive Change","Case Western Reserve University","Advanced",13.9,4.67,"https://www.coursera.org/learn/women-in-leadership","This course aims to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes---to lead change with more conviction and confidence---and improve our workplaces and communities for all. By offering more complex understandings of issues related to professional women and work, the course will help you increase self-knowledge about your own values and vision, as well as enhance your capabilities as a leader, manager, and team contributor. We will examine the opportunities, challenges, trade-offs, and organizational dynamics experienced by women in work organizations, as well as reflect on and practice effective individual behaviors.\\n\\nThe course aims at answering questions such as: What are the valued attributes and behaviors of women in the workplace? How does the gendered nature of organizations impact women? What derails our career advancement and what propels us upward? What are your leadership goals and aspirations? How can you best integrate your multiple family and work life commitments? How do you define career success? What can organizations do to provide women with opportunities to excel? What opportunities could our global economy harness by advancing women to leadership? How can the full talents of the workforce be tapped into and developed?\\n\\nThe course is about leadership and inspiring change, but at its core it is meant to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes, to lead change with more conviction and confidence, and improve our workplaces and communities for all. Your involvement in the course activities is essential to help you learn these concepts and develop the necessary skills to implement them. If you watch the videos and read the required articles you will be introduced to some intriguing ideas. If you do the personal reflective exercises and complete the final project you will convert those ideas into relevant experiences to enhance your life and work. Going beyond your personal relevance, your potential learning will expand to understanding and working with others more effectively through either the Discussion Forums in the course or through face-to-face discussions (some of you are taking the course in groups). Each week, we will post reminders, changes, and other relevant announcements.","leadership-development; assertiveness; leadership; confidence; resource; self-confidence; communication; negotiation; integration-testing; management","Inspired Leadership",2.0,"https://www.coursera.org/specializations/inspired-leadership","This Specialization will help you switch from a top-down leadership, with the emphasis on authority, to an open leadership based on trust and sense.\\n\\nThis new approach of leadership, taught to HEC MBA’s student and top executives, encourages relationships between people in spite of their differences of opinion and enables better team leadership.\\n\\nThe Savoir-Relier protocol is based on more than 25 years of research and practice. It has been implemented with positive impact on individual and teams in companies like Apple, L'Oréal, LVMH, Sanofi or Pernod Ricard for example.\\n\\nJust as them, as an executive, manager or individual, you will practice the Savoir-Relier method and discover that when done with courage, empathy, humility and resilience, it stimulates creative initiatives, and creates meaning to foster action and results. It will help you to overcome difficult situations with resilience and navigate complex systems.\\n\\nYou will explore your own leadership style through conversations with your peers, and acquire the necessary self-confidence to make good decisions based on the opinions and ideas of others, even if they are contradictory\\n\\nYou will also hear perspectives on leadership from outstanding leaders such as an Olympic athlete, business executives, and other distinguished guest speakers.\\n\\nIn the final Capstone Project, you will apply the skills you have grown and the models you have learned to address and overcome a personal leadership challenge.","[7.7,18.6]","German; Portuguese; Chinese; Arabic","English","business","leadership-and-management","7y_BGIbyEeWgjA5cAvYgmw"]
["Human Resources","Leadership Development","Personal Leadership Development Planning and Leading High Performing Teams","Rice University","Intermediate",19.2,4.58,"https://www.coursera.org/learn/leadership-development-planning","An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.","motivation; performance; project; leadership; smart-criteria; plan; leadership-development; writing; project-team; personal-advertisement","Leadership Development for Engineers",3.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[7.5,33.8]","NA","English","business","leadership-and-management","A5jeDWhuEeak0hLPfPzoPw"]
["Human Resources","Leadership Development","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Human Resources","Leadership Development","Building Your Leadership Skills","HEC Paris","Beginner",12.2,4.5,"https://www.coursera.org/learn/leadership-skills","When taking this course, you will raise your own self-awareness and gain self-confidence for a better leadership. \\nYou will discover a new approach to leadership based on trust and sense. \\nThe “Savoir-Relier” leadership, a new approach of leadership, taught to HEC MBA’s student and top executives, enables better team leadership and encourages relationships between people in spite of their differences of opinion. \\n\\nYou will develop relational skills, self-knowledge and self-awareness on the way to unfold your own leadership style. You’ll learn the skills of The Savoir-Relier (SR) methodology for better connecting with yourself or others by going through the following 4 steps for successful leadership: Introspection, Conversation, Resilience and Responsibility toward Value Creation. \\nIn this first MOOC of the \"Inspirational Leadership\" specialization, you will practice the first two steps of the method for successful leadership: Introspection and Conversation. You will get to know yourself better during the Introspection part and get a chance to improve your communication skills in order to better interact with others. You will meet people like you who will share their stories and their experience with Savoir-Relier and why it is so inspiring for them in their life. Together, you’ll develop greater self-awareness by developing a leadership self-portrait and going through fun activities to increase your empathy and communication.\\n\\nLeaders from different organizations and participants of the HEC Paris Leadership Certificate, the program from which this course and specialization are inspired, will share with you their insights about what it takes to become a great leader and what they are able to achieve now that they apply The Savoir-Relier methodology. \\n\\nThis course is part of the specialization “Inspirational Leadership: Leading with Sense”. In the next courses, you'll go through the second two steps of leadership: Resilience and Responsibility toward Value Creation.","communication; confidence; self-awareness; listening; leadership-development; awareness; management; self-confidence; leadership; integration-testing","Inspirational Leadership: Leading with Sense",1.0,"https://www.coursera.org/specializations/inspirational-leadership","Non Specialization","[7.8,18]","French; Vietnamese; Greek; Arabic; Persian","English","business","leadership-and-management","Wl5ych5kEeWFIxLDnS6_kQ"]
["Human Resources","People Analysis","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Human Resources","People Analysis","Sampling People, Networks and Records","University of Michigan","Intermediate",30.3,4.4,"https://www.coursera.org/learn/sampling-methods","Good data collection is built on good samples.  But the samples can be chosen in many ways.  Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done.  Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.  Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control.  It is these last kinds of samples that will be discussed in this course.  We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples.  The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.","survey-methodology; user-research; spss; data-collection; survey-design; data-clustering-algorithms; sampling-statistics; cluster-sampling; saving; statistics","Survey Data Collection and Analytics",4.0,"https://www.coursera.org/specializations/data-collection","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[20,45.5]","NA","English","life-sciences","psychology","2_xJtuxuEeWMXQ7KUwccNw"]
["Human Resources","People Development","Organisational behaviour: Know your people","Macquarie University","Advanced",16.4,4.81,"https://www.coursera.org/learn/organisational-behaviour-know-your-people","Organisations have changed and now, more than ever, personnel management is crucial to organisational success. In this course you’ll explore a range of concepts, theories and methodologies that will help you navigate and optimise your work environment. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will be exposed to the latest best-practice leadership strategies to enable your employees to achieve more at work. You’ll examine case studies on advanced leadership strategies and be challenged to consider how these might apply to your own workplace. And you’ll discover that your ability to manage and lead people in a flatter, more team-driven context is now the key to organisational success. As the world continues to undergo dynamic change, this course will prepare you to be the one to lead your team and your organisation into the dynamic work environments of tomorrow.","psychologies; methodology; human-resource-management; organizational-psychology; team-management; psychology; leadership; human-resources; organizational-behavior; management","Leading: Human Resource Management and Leadership",2.0,"https://www.coursera.org/specializations/hr-management-leadership","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[7.7,21.8]","NA","English","business","leadership-and-management","CiDlvXpfEeiZNArkNJmR5g"]
["Human Resources","People Development","Conversations That Inspire: Coaching Learning, Leadership and Change","Case Western Reserve University","Advanced",16.5,4.72,"https://www.coursera.org/learn/leadership-coaching","Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.","leadership; life-coaching; life-coaches; active-listening; change-management; listening; compassion; emotional-intelligence; management; coaching","Inspired Leadership",3.0,"https://www.coursera.org/specializations/inspired-leadership","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[10.9,20.4]","Spanish","English","business","leadership-and-management","yBXw74emEeWRYRLoE9jCoQ"]
["Human Resources","People Development","Critical Perspectives on Management","IE Business School","Intermediate",17.8,4.72,"https://www.coursera.org/learn/critical-management","This course is designed for students of all backgrounds who have an interest in how firms are governed, the forces that have helped define modern management practice, and the outcomes of that practice not only for the firm itself, but also for the societies in which they operate. For students who are thinking of a career in management, it may also prove useful as a basic introduction to some of the conceptual vocabulary and ideas behind modern theories of management. \\n\\nUsing a wide disciplinary approach - from economics and history to social theory and even a smattering of biblical criticism - the course will invite students to consider several core management strategies and priorities from often unexpected perspectives in order to judge their success or failure. The key objective of the course is to bring into critical focus how we think about the function and culture of management, how managers understand their role within a firm, how they take decisions, set priorities and benchmark success and failure. \\n\\nTopics include: the function of the firm; the role of incentive; the ways in which narrative forces shape decision making, and how market relationships define the managerial culture in ways that can lead to sub-optimal outcomes.","critical-thinking; analysis; corporate-governance; corporate-bond; strategic-management; information-technology-management; market-economics; management; innovation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.6,24.4]","Afrikaans","English","business","leadership-and-management","BkWivH6zEeSXPiIACxeBkA"]
["Human Resources","People Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Human Resources","People Development","Coaching Conversations","University of California, Davis","Beginner",13.2,4.6,"https://www.coursera.org/learn/coaching-conversations","Throughout the Coaching Skills for Managers specialization, we’ve discussed many topics for improving coaching conversations with our employees. It is now time to put all of that theory and discussion into practice and examine great examples of common coaching conversations!\\n\\nNote: This course builds on all previous courses in the Coaching Skills for Managers specialization. It is highly recommended that students complete or be familiar with the topics covered in those courses before taking this course. In particular, you should be familiar with the coaching strategies and tools discussed in previous courses (such as the 5 whys technique, resisting what is, among others), and should have a full understanding of the Thought model and the various components of it: circumstances, thoughts, feelings, actions, and results.\\n\\nBy the end of this course, you will be able to demonstrate appropriate and effective strategies when engaging in coaching conversations with those that you lead. By exploring and analyzing common coaching scenarios that are acted out in this course, you will have a great sense of what works well and not so well during such a conversation. Specifically, you'll be able to better differentiate between a developmental coaching approach and a directive management style, discuss new strategies and techniques for dealing with both mind set and skill set gaps, describe how to use the feedback loop effectively in a conversation, and demonstrate the use of good questioning techniques and the thought model to not only help an employee identify issues, but help the employee really change their thinking.\\n\\nThe final assignment is all about actually having a coaching conversation with another person where you can apply everything you've learned in this course and throughout the Coaching Skills for Managers specialization. Again, it is highly recommended students complete the other courses in the specialization before taking this one. This peer review assignment, in particular, will be difficult to complete without knowledge of the topics covered in these courses.\\n\\nAfter going through the course materials and completing the assessments, you will be able to have more effective one-on one-coaching meetings with those you manage and deepen your understanding of the essential practice of coaching conversations.","management; life-coaching; thought; personal-development; employment; hold; performance; modeling; planning; coaching","Coaching Skills for Managers",4.0,"https://www.coursera.org/specializations/coaching-skills-manager","Non Specialization","[7,14.7]","Arabic","English","business","leadership-and-management","ISGr03Q9EeWLqw7zlLhRzQ"]
["Human Resources","People Development","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Human Resources","People Development","Intercultural Management","ESCP Business School","Beginner",13.6,4.39,"https://www.coursera.org/learn/intercultural","This MOOC explores different aspects of intercultural management, including teams, leadership, Human Resource Management, marketing and negotiations. When you complete this MOOC, you will have a richer understanding of the concept of culture, and how culture influences the way that individuals behave. \\n\\nYou will also get a deeper knowledge about how culture shapes management practices in international organizations. We will introduce you to a number of experts in the field of intercultural management who will discuss the challenges and the benefits of dealing with employees on a global level. \\n\\nMoreover, we will share with you insights from our own research to illustrate recent developments in the field of intercultural management. During the MOOC we will provide you with a variety of concepts and tools that empower you to successfully interact with people from other cultures to achieve your desired personal and business-related goals.\\n\\nPlease have a look at the teaser available at :  https://www.youtube.com/watch?v=LVze_O6vjKI","negotiation; intercultural-competence; cross-cultural-communication; intercultural-communication; marketing; global-marketing; human-resource-management; human-resources; communication; management","Non Specialization","Non Specialization","Non Specialization","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[5.5,19.5]","NA","English","business","leadership-and-management","e74M7ThfEeaceBK_gzS6ow"]
["Human Resources","Recruitment","Advanced Interviewing Techniques","University of Maryland, College Park","Intermediate",22.0,4.69,"https://www.coursera.org/learn/interview-techniques","People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral,  interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand.\\n\\nYou will be able to:\\n\\n1.  Identify what the hiring organization is looking for in using behavioral interviewing techniques.\\n\\n2.  List the steps in the S.T.A.R. response strategy and apply the steps, using reasonably correct language, to respond to  behavioral interview questions.\\n\\n3.  Use your responses to behavioral and competency-based questions to communicate your personal values.\\n\\n4.  Identify what the hiring organization is looking for in asking situational and wild-card interview questions.\\n\\n5.  List the steps in the P.R.E.P. and 5 W's response strategies and apply the steps, using reasonably correct language, to answer at least one wild-card and two situational interview questions.\\n\\n6.  Develop an optimal strategy for responding to the weaknesses question, based on recognizing why a hiring organization asks these questions.\\n\\n7.  Demonstrate your personal strengths and maturity through your responses to the weaknesses question.\\n\\n8.  Correctly apply hedging language to soften a negative and boosting language to emphasize a positive aspect of your professional and/or academic background.\\n\\n9.  Ask questions to determine how well an organization fits with your personality, career goals and salary objectives.\\n\\n10. Ask questions that communicate your competencies and strengths.\\n\\n11.  Negotiate the best job offer and compensation package for yourself.\\n\\n12.  Perform successfully on telephone interviews.","storytelling; interview; salary; programming-interview; recruiting; writing; recruitment","Interviewing and Resume Writing in English",3.0,"https://www.coursera.org/specializations/english-interview-resume","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[7.8,34.7]","Arabic","English","language-learning","learning-english","koALKnp3EeWX2xK7ROQidQ"]
["Human Resources","Recruitment","Successful Interviewing","University of Maryland, College Park","Intermediate",26.0,4.68,"https://www.coursera.org/learn/successful-interviewing","The goal of hiring managers is not just to hire people who need a job. It’s to hire people who believe in their organization, its mission and the work that’s involved in the job position. Every hiring manager knows: Hire people to do a job and they’ll work for your money. Hire people who believe in the work and they’ll work for their passion.\\n\\nAnd this is not a case of “fake it until you make it.” You have to be genuine about your belief in an organization and its mission. That means you have to have researched the industry, the company, and the position – and be able to show how your goals in life align with the company’s mission. Having done so will shape the impression you convey as a candidate, the way you answer traditional questions, and the way you demonstrate that you’re the right candidate for the job.\\n\\nThis course is the second in a five-course specialization. We recommend that courses #1, #2 and #3 be taken in sequence. Course #4 - on resume and cover letter writing - can be taken in any sequence, while course #5 is the capstone for the specialization as a whole.\\n\\nThis course can be thought of as \"Interviewing I\", while course #3 is \"Interviewing II.\"  Course #3 covers more advanced interview formats, including behavioral and situational interviews - along with the special case of telephone screenings.  The logic for including telephone screenings - which happen at the start of the interview process - late in this specialization on interviewing is that those screenings, while happening early in the process, involve all the skills that you'll learn from course #1 through course #3.\\n\\nAs for this course, it will teach you how to:\\n\\n1.\\tDo thorough research on a company of your choice.\\n\\n2.     Prepare for those critical first 3-5 minutes of an interview (when many recruiters say an interview is either won or lost).\\n\\n3.     Prepare for the all important \"Tell Me About Yourself\" question.\\n\\n4.     Prepare for traditional interview questions.\\n\\n5.     Use strategies for handling the salary question.  We don't teach you salary negotiation techniques, but we do teach you  how to avoid putting yourself in a weak negotiation position.\\n\\n6.\\tPrepare an elevator speech - all three variations.\\n\\n7.\\tUse persuasive speech techniques to present professional accomplishments and qualifications in a manner that conveys benefits to a potential employer.\\n\\n8.\\tUse persuasive speech techniques to convince a potential employer of your interest, motivation and preparation for a particular position.\\n\\n9.\\tAdapt your nonverbal communication style to the expectations of English-speaking interviewers.","task-management; communication; teaching; documents; interview; writing; recruitment","Interviewing and Resume Writing in English",2.0,"https://www.coursera.org/specializations/english-interview-resume","This specialization will help you develop the English language strategies and communication skills you need to advance in your professional career. Whether you already have a successful career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, or whether you’re coming back into the world of work after some time away – if you believe in working for more than a paycheck, then this specialization will help you. The core courses cover preparing for a successful job search, including self research and research of the job market and industries of interest; strengthening your interview skills by recognizing what hiring managers are looking for and taking steps to prepare for the types of tough questions today's premier companies use; and preparing a resume, cover letter and supporting business documents. The capstone will allow you to apply the skills you learn in this specialization to your own job search.\\n\\nA key benefit of this specialization is the opportunities you'll have to practice your interviewing skills with other job-seekers from around the world. You’ll give them feedback and they’ll give you feedback. In this process, you’ll gain new insight into what makes a speaker successful and you’ll gain confidence in your English interviewing skills.","[11.2,40.5]","Arabic","English","language-learning","learning-english","00A5f3pyEeWUswr9_O_RKw"]
["Human Resources","Recruitment","Interview Research and Preparation","University of Maryland, College Park","Advanced",31.6,4.67,"https://www.coursera.org/learn/interview-preparation","This course, the first in the \"Interviewing and Resume Writing in English\" specialization, guides you to discover the interests, talents and competencies that you can use to find and do work that leverages your strengths, passions and who you are as a person, so you can start doing work that matters to you and to the world. Whether you already have a career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, whether you’re coming back into the world of work after some time away – this course will help you see your path more clearly and will teach you how to communicate your value to an employer in a way that he or she can immediately recognize.\\n\\nAfter completing this course, you will be able to 1) use your individual cognitive, social and emotional traits, together with areas of interest, to discover how to find the future jobs that can give you the greatest satisfaction; 2) identify transferable skills of greatest value to the employers who have the jobs you’re interested in; 3) apply a simple strategy for presenting your skills to an employer in an effective and convincing fashion.","writing; framing; systematics; interview; delegation; career; english-language; language; personal-advertisement; integration-testing","Interviewing and Resume Writing in English",1.0,"https://www.coursera.org/specializations/english-interview-resume","This specialization will help you develop the English language strategies and communication skills you need to advance in your professional career. Whether you already have a successful career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, or whether you’re coming back into the world of work after some time away – if you believe in working for more than a paycheck, then this specialization will help you. The core courses cover preparing for a successful job search, including self research and research of the job market and industries of interest; strengthening your interview skills by recognizing what hiring managers are looking for and taking steps to prepare for the types of tough questions today's premier companies use; and preparing a resume, cover letter and supporting business documents. The capstone will allow you to apply the skills you learn in this specialization to your own job search.\\n\\nA key benefit of this specialization is the opportunities you'll have to practice your interviewing skills with other job-seekers from around the world. You’ll give them feedback and they’ll give you feedback. In this process, you’ll gain new insight into what makes a speaker successful and you’ll gain confidence in your English interviewing skills.","[13.7,53.6]","Arabic","English","business","business-essentials","nUeuF3EkEeWhZxJhllGpHQ"]
["Human Resources","Recruitment","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Human Resources","Recruitment","The Manager's Toolkit: A Practical Guide to Managing People at Work","University of London","Beginner",10.0,4.6,"https://www.coursera.org/learn/people-management","The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. \\n\\nAt the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.","interview; conflict-resolution; organizational-conflict; performance; decision-making; performance-management; resource; human-resources; leadership; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,12.6]","NA","English","business","leadership-and-management","Wv_qFVYzEeWKXg4Y7_tPaw"]
["Human Resources","Recruitment","Managing Talent","University of Michigan","Intermediate",15.7,4.42,"https://www.coursera.org/learn/managing-talent","In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. In addition, you will learn how to develop and coach your talent so that they can realize their full potential at work. Altogether, you will gain a thorough understanding of the complete cycle of managing talent and creating a robust talent pipeline for your team and organization.\\n\\nManaging and developing talent is one of the top 3 issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations.","resource-management; performance; resource; talent-management; human-resources; employment; onboarding; coaching; management; recruitment","Leading People and Teams",2.0,"https://www.coursera.org/specializations/leading-teams","Non Specialization","[10.3,21.1]","Russian; Chinese; Vietnamese","English","business","leadership-and-management","we5nljlYEeWO-Qq6rEZAow"]
["Human Resources","Recruitment","Intercultural Management","ESCP Business School","Beginner",13.6,4.39,"https://www.coursera.org/learn/intercultural","This MOOC explores different aspects of intercultural management, including teams, leadership, Human Resource Management, marketing and negotiations. When you complete this MOOC, you will have a richer understanding of the concept of culture, and how culture influences the way that individuals behave. \\n\\nYou will also get a deeper knowledge about how culture shapes management practices in international organizations. We will introduce you to a number of experts in the field of intercultural management who will discuss the challenges and the benefits of dealing with employees on a global level. \\n\\nMoreover, we will share with you insights from our own research to illustrate recent developments in the field of intercultural management. During the MOOC we will provide you with a variety of concepts and tools that empower you to successfully interact with people from other cultures to achieve your desired personal and business-related goals.\\n\\nPlease have a look at the teaser available at :  https://www.youtube.com/watch?v=LVze_O6vjKI","negotiation; intercultural-competence; cross-cultural-communication; intercultural-communication; marketing; global-marketing; human-resource-management; human-resources; communication; management","Non Specialization","Non Specialization","Non Specialization","This specialization will help you develop the English language strategies and communication skills you need to advance in your professional career. Whether you already have a successful career and are looking to move forward, whether you’re looking to change careers, whether you’re starting out in the world of work, or whether you’re coming back into the world of work after some time away – if you believe in working for more than a paycheck, then this specialization will help you. The core courses cover preparing for a successful job search, including self research and research of the job market and industries of interest; strengthening your interview skills by recognizing what hiring managers are looking for and taking steps to prepare for the types of tough questions today's premier companies use; and preparing a resume, cover letter and supporting business documents. The capstone will allow you to apply the skills you learn in this specialization to your own job search.\\n\\nA key benefit of this specialization is the opportunities you'll have to practice your interviewing skills with other job-seekers from around the world. You’ll give them feedback and they’ll give you feedback. In this process, you’ll gain new insight into what makes a speaker successful and you’ll gain confidence in your English interviewing skills.","[5.5,19.5]","NA","English","business","leadership-and-management","e74M7ThfEeaceBK_gzS6ow"]
["Human Resources","Talent Management","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Non Specialization","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Human Resources","Talent Management","Leadership in 21st Century Organizations","Copenhagen Business School","Beginner",37.1,4.72,"https://www.coursera.org/learn/leadership-21st-century","Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.\\n\\nThe course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591 \\n\\nAfter taking the course, you'll be able to:\\no   Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;\\no   Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;\\no   Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);\\no   Avoid \"slippery slope\" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.","strategic-management; communications-management; management-theory; corporate-governance; leadership; team-management; collaboration; communication; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[12.6,67.4]","NA","English","business","leadership-and-management","sK74dCWgEeW8-A6tkjXxWQ"]
["Human Resources","Talent Management","Managing Employee Performance","University of Minnesota","Beginner",14.9,4.69,"https://www.coursera.org/learn/employee-performance","Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees.  Performance management is a process that helps managers achieve the goal of getting the best from their employees. \\n\\nIn this third course in the Human Resources for People Managers specialization,  we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals.  These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal.","resource; employment; performance-appraisal; performance; performance-management; human-resources; human-resource-management; organizational-culture; management; integration-testing","Human Resource Management: HR for People Managers",3.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.6,18]","Arabic; Vietnamese; Korean","English","business","business-essentials","4BkqMnE8EeWxvQr3acyajw"]
["Human Resources","Talent Management","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Non Specialization","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Human Resources","Talent Management","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","Non Specialization","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Human Resources","Talent Management","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Human Resources","Talent Management","Managing Talent","University of Michigan","Intermediate",15.7,4.42,"https://www.coursera.org/learn/managing-talent","In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. In addition, you will learn how to develop and coach your talent so that they can realize their full potential at work. Altogether, you will gain a thorough understanding of the complete cycle of managing talent and creating a robust talent pipeline for your team and organization.\\n\\nManaging and developing talent is one of the top 3 issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations.","resource-management; performance; resource; talent-management; human-resources; employment; onboarding; coaching; management; recruitment","Leading People and Teams",2.0,"https://www.coursera.org/specializations/leading-teams","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.3,21.1]","Russian; Chinese; Vietnamese","English","business","leadership-and-management","we5nljlYEeWO-Qq6rEZAow"]
["Human Resources","Talent Management","Intercultural Management","ESCP Business School","Beginner",13.6,4.39,"https://www.coursera.org/learn/intercultural","This MOOC explores different aspects of intercultural management, including teams, leadership, Human Resource Management, marketing and negotiations. When you complete this MOOC, you will have a richer understanding of the concept of culture, and how culture influences the way that individuals behave. \\n\\nYou will also get a deeper knowledge about how culture shapes management practices in international organizations. We will introduce you to a number of experts in the field of intercultural management who will discuss the challenges and the benefits of dealing with employees on a global level. \\n\\nMoreover, we will share with you insights from our own research to illustrate recent developments in the field of intercultural management. During the MOOC we will provide you with a variety of concepts and tools that empower you to successfully interact with people from other cultures to achieve your desired personal and business-related goals.\\n\\nPlease have a look at the teaser available at :  https://www.youtube.com/watch?v=LVze_O6vjKI","negotiation; intercultural-competence; cross-cultural-communication; intercultural-communication; marketing; global-marketing; human-resource-management; human-resources; communication; management","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[5.5,19.5]","NA","English","business","leadership-and-management","e74M7ThfEeaceBK_gzS6ow"]
["Human Resources","Training","Giving Helpful Feedback","University of Colorado Boulder","Beginner",9.3,4.71,"https://www.coursera.org/learn/feedback","This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork.\\n\\nGiving feedback is a skill which develops over time. We give you a process you can use to improve your feedback skills and deliver it with confidence. You will find that there is a scientific basis for many of your observations and intuitions about feedback—such as, it is hard to give correctly, people don’t like it, and more. This will be reassuring as you learn how to overcome these difficulties. We hope you have a fantastic time becoming a better manager!","leadership; professional; building-relationships; performance; integration-testing; management; communication; performance-management; coaching; staff-management","Non Specialization","Non Specialization","Non Specialization","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[4,12.3]","German; French; Spanish; Italian; Arabic","English","business","business-essentials","HUJ11BnoEeWg_RJGAuFGjw"]
["Human Resources","Training","Hacking Exercise For Health. The surprising new science of fitness.","McMaster University","Intermediate",9.3,4.7,"https://www.coursera.org/learn/hacking-exercise-health","Renowned exercise physiologists Martin Gibala and Stuart Phillips of McMaster University teach the surprising new science of cardio fitness and strength-building—and then provide you with hacks to get fit and strong (and healthy!) in less time than you ever thought possible. What’s the right mix of exercise between cardio and strength? How do you know if you’re working out hard enough? What’s better, heavy or light weights? These questions and more are addressed through a course designed to provide even the most inexperienced of exercisers the tools you need to design time-efficient workouts that can be done virtually anywhere, from your own home to a city park or even at your workplace. \\n\\nMarty and Stu are good friends and colleagues who just happen to be two of the world’s most passionate scholars in the science of fitness. They aim to entertain you while they’re describing the relationship between exercise and health. Marty is a pioneer in the field of interval training, the technique of varying your workout intensity to get fit faster than anyone ever thought possible. Stu’s studies proved that lifting lighter weights can be a highly effective strength-building technique—plus he’s a leading expert in dietary protein and muscle. \\n\\nIn Hacking Exercise for Health, you’ll follow Marty and Stu as they teach you the basics about the way your body boosts its fitness and strength. Next, they’ll apply that theory, providing you with a series of do-anywhere workouts and, most importantly, teaching you what you need to know to design your own sessions. Filled with inspirational practical tips, fun quizzes, interactive community participation and assignments designed to help you remember your lessons, Hacking Exercise for Health will give you the tools and techniques to incorporate exercise into your life, no matter how busy you are.","training; interest; exercise; protein; healthy-diet; life-sciences; exercise-physiology; sports; re-define; integration-testing","Non Specialization","Non Specialization","Non Specialization","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[4.9,12.3]","Spanish","English","life-sciences","basic-science","aExbjXArEemCphJjS7gqYA"]
["Human Resources","Training","Women in Leadership: Inspiring Positive Change","Case Western Reserve University","Advanced",13.9,4.67,"https://www.coursera.org/learn/women-in-leadership","This course aims to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes---to lead change with more conviction and confidence---and improve our workplaces and communities for all. By offering more complex understandings of issues related to professional women and work, the course will help you increase self-knowledge about your own values and vision, as well as enhance your capabilities as a leader, manager, and team contributor. We will examine the opportunities, challenges, trade-offs, and organizational dynamics experienced by women in work organizations, as well as reflect on and practice effective individual behaviors.\\n\\nThe course aims at answering questions such as: What are the valued attributes and behaviors of women in the workplace? How does the gendered nature of organizations impact women? What derails our career advancement and what propels us upward? What are your leadership goals and aspirations? How can you best integrate your multiple family and work life commitments? How do you define career success? What can organizations do to provide women with opportunities to excel? What opportunities could our global economy harness by advancing women to leadership? How can the full talents of the workforce be tapped into and developed?\\n\\nThe course is about leadership and inspiring change, but at its core it is meant to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes, to lead change with more conviction and confidence, and improve our workplaces and communities for all. Your involvement in the course activities is essential to help you learn these concepts and develop the necessary skills to implement them. If you watch the videos and read the required articles you will be introduced to some intriguing ideas. If you do the personal reflective exercises and complete the final project you will convert those ideas into relevant experiences to enhance your life and work. Going beyond your personal relevance, your potential learning will expand to understanding and working with others more effectively through either the Discussion Forums in the course or through face-to-face discussions (some of you are taking the course in groups). Each week, we will post reminders, changes, and other relevant announcements.","leadership-development; assertiveness; leadership; confidence; resource; self-confidence; communication; negotiation; integration-testing; management","Inspired Leadership",2.0,"https://www.coursera.org/specializations/inspired-leadership","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[7.7,18.6]","German; Portuguese; Chinese; Arabic","English","business","leadership-and-management","7y_BGIbyEeWgjA5cAvYgmw"]
["Human Resources","Training","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Human Resources","Training","Managing as a Coach","University of California, Davis","Beginner",10.0,4.65,"https://www.coursera.org/learn/managing-as-a-coach","Do you (or do you want to) manage employees? Have you ever wondered how to get better performance out of those you manage? Are you unsure if you are communicating effectively with your employees? If you answered “yes” to any of these questions, then this course – and its associated specialization – is for you!\\n\\nLeadership and management responsibilities have changed dramatically, particularly in the last decade. In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching has become essential. \\n\\nIn this course, you will learn what coaching is and learn how to differentiate between it and all of the other myriad roles managers are expected to perform – managing, mentoring, leading, and training. You’ll learn about the importance of strong leadership and learn to describe your current point of view as a leader, and evaluate when to adjust your thinking in order to be more effective in managing and leading in a rapidly evolving workplace.\\n\\nAnd finally, you’ll be introduced to the Thought Model, a coaching technique you can use to develop better thinkers and better performers. So if you’re ready to learn all about how to be a more effective and valued manager using coaching techniques, join us as we explore more successful managing through coaching!","communication; thought; leadership; mentorship; management-styles; active-listening; modeling; management; integration-testing; coaching","Coaching Skills for Managers",1.0,"https://www.coursera.org/specializations/coaching-skills-manager","NA","[6.5,14.4]","Vietnamese; Arabic","English","business","leadership-and-management","wnxlH3Q8EeWLqw7zlLhRzQ"]
["Human Resources","Training","Sales Training: Techniques for a Human-Centric Sales Process","HubSpot Academy","Beginner",10.6,4.58,"https://www.coursera.org/learn/sales-process-techniques-training","This course will teach you an inbound approach to sales that focuses on being helpful, not salesy. By the end of this course, you'll be able to prospect for new business, qualify for high-quality prospects, book meetings with decision makers, handle buyer's objections, and negotiate and close a deal. By following this process, you'll be able to jumpstart your career in sales with tactical tips and advice to run an effective sales playbook.\\n\\nFree accounts you'll need to go through this course:\\n- HubSpot Academy: https://hubs.ly/H0dM-NY0\\n- LinkedIn: https://linkedin.com\\n- Gmail: https://google.com/mail/\\n- About.me: https://about.me/","negotiation; prospecting; planning; sales-strategy; customer; training; communication; sales; meeting; integration-testing","Sales Training for High Performing Teams",2.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","Non Specialization","[3.9,16]","Romanian; Chinese","English","business","business-essentials","18A7NKrIEee8SA4Rcof82g"]
["Leadership and Management","Best Courses","Strategic management: Be competitive","Macquarie University","Intermediate",8.6,4.97,"https://www.coursera.org/learn/strategic-management-be-competitive","The ability to think strategically in today’s global, high-tech business environment is critical to ensuring your organisation survives – and grows – into the future. By breaking down business strategy and value creation to its essential elements, you’ll develop your strategic thinking skills. And through structured learning activities including video lectures, quizzes, discussion prompts and written assessments you’ll discover how to improve your organisation’s competitiveness. This course focuses on the key principles behind the latest thinking in value co-creation, strategy and marketing, and teaches you how to apply them. By learning how to continuously plan, monitor, analyse and assess all that is necessary for an organisation to meet its goals and objectives, you will be better prepared to take your organisation forward in a viable strategic direction.","organizational-learning; interpretation; supply-chain; consumer-choice; thought; chaining; supply-chain-management; strategic-management; learning; management","Strategising: Management for Global Competitive Advantage",4.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[5.2,11.4]","NA","English","business","business-strategy","TT_oxZB0EeiQHw5xPJAuLA"]
["Leadership and Management","Best Courses","Adapt your leadership style","Macquarie University","Advanced",18.2,4.92,"https://www.coursera.org/learn/leadership-adapt-your-style","Why are organisational misbehaviours such as cynicism, apathy, bullying and disengagement increasingly prevalent in the workplace? This course examines these tensions and how transformational, authentic and inclusive leadership styles offer an alternative to the more autocratic, job-centred and controlling leadership styles of the past. You’ll learn how the digital revolution, along with an increased focus on projects and teamwork, has dramatically altered the perception of leadership in a way that now demands all organisational members take on some form of self-leadership. And you’ll learn how this change is causing tensions between traditional leaders and the contemporary practices vital to maintain agility in today’s ultra-competitive marketplace. This learning will be complemented by structured activities such as video lectures, quizzes, discussion prompts and written assessments.","human-resource-management; leadership-development; leadership; leadership-style; human-resources; agility","Leading: Human Resource Management and Leadership",3.0,"https://www.coursera.org/specializations/hr-management-leadership","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[10.3,24.2]","NA","English","business","leadership-and-management","hN6So5BcEeilcQpNXeebtA"]
["Leadership and Management","Best Courses","Global Strategy II: Doing Business in The Global Economy","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.92,"https://www.coursera.org/learn/global-strategy-two","This course explores the ways firms overcome challenges when operating globally. The global economy is characterized for its high complexity and uncertainty.  Corporations trying to succeed in the global economy need to develop different types of strategies depending on where they are conducting business or what type business they are in.  Students taking this course will learn how to determine the best strategy to follow when expanding globally, the advantages and disadvantages of those strategies, and the appropriate responses to external pressures. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","salary; global-value-chain; market-share; chaining; global; sustainability; retirement; professional; value-chain; cost","Global Challenges in Business",4.0,"https://www.coursera.org/specializations/global-challenges-business","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[5,16.8]","Arabic","English","business","business-strategy","H99pHHXuEeaWkA5VwsyIdw"]
["Leadership and Management","Best Courses","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Leadership and Management","Best Courses","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Leadership and Management","Best Courses","Foundations of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",15.2,4.78,"https://www.coursera.org/learn/everyday-leadership-foundation","In this course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills.\\n\\nLearners:\\n•\\tUnderstand why and how leadership skills are so critical to organizational success\\n•\\tKnow how to use leadership skills to work more effectively with others, and are able to organize teams to work more effectively together\\n•\\tWill be able to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leadership; decision-making; analysis; team-management; communication; group-decision-making; leadership-development; strategic-leadership; motivation; management","Strategic Leadership and Management",1.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[9.2,16.9]","NA","English","business","leadership-and-management","XupniISSEeWcSw7mZ7gPOw"]
["Leadership and Management","Best Courses","Managing the Company of the Future","University of London","Beginner",18.6,4.77,"https://www.coursera.org/learn/company-future-management","The aim of the course is to provide you with a comprehensive framework for understanding both the traditional principles of management inside companies today as well as the alternative principles that are becoming increasingly important. It provides both theoretical and practical perspectives on the nature of management in today’s organisations.","organization-design; leadership; strategic-management; corporate-governance; management-theory; modeling; communication; management; motivation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21]","Arabic","English","business","leadership-and-management","bzhAuJ9sEeWJORITtzkPnQ"]
["Leadership and Management","Best Courses","Visionary leadership, identity & motivation: Become a meaning maker","Macquarie University","Intermediate",16.0,4.75,"https://www.coursera.org/learn/visionary-leadership-meaning-maker","When faced with a complex and ambiguous work environment, how do you, as a potential leader, envision the future? How can you deliver on your vision in a way that conveys meaning and drives positive change within your organisation? In this course you will explore how leaders can create a compelling vision and communicate it, and how they create meaning and make work more meaningful. You will look at the role the brain and the body play in processing meaning, and how this can inspire your employees to follow you and your vision. This course will also teach you how to develop meaningful brand identity and the role it can play in clarifying and reinforcing your leadership vision within your organisation, for your partners and for your customers. You will discover that meaning crosses into almost every aspect of management. Finally, you will better understand how social and cultural factors can influence what you can achieve and your limitations when seeking to create meaning.","brand; parenting; leadership; meaning-making; human-resource-management; learning; investor; integration-testing; human-resources; motivation","Leading: Human Resource Management and Leadership",4.0,"https://www.coursera.org/specializations/hr-management-leadership","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[8.3,20.6]","NA","English","business","leadership-and-management","lMzx9Zw8Eei8YRKKGEAtxg"]
["Leadership and Management","Best Courses","Leadership and Emotional Intelligence","Indian School of Business","Advanced",12.1,4.74,"https://www.coursera.org/learn/emotional-intelligence-in-leadership","The digital age is dramatically reshaping the rules for organizational success. The new context demands renewal of your capabilities and development of different mindsets.  In this course, you’ll learn the different components of emotional intelligence at work. For example, you’ll learn how you can work effectively in teams, build cooperative relationships with your key stakeholders, exercise effective influence, handle difficult conversations, and create energy and enthusiasm to foster meaningful change. Our modules will begin with powerful stories that are illustrative of typical challenges faced by front-line leaders. We’ll analyze the case illustration using the ideas from emotional intelligence theory, and highlight the key lessons that you should take away in terms of mindsets and skills that you should master to distinguish yourself as a leader.","communication; management; emotional-intelligence; delegation; active-listening; leadership; change-management; listening; negotiation; emotional-competence","Business Technology Management",5.0,"https://www.coursera.org/specializations/business-technology-managment","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[7.2,15.3]","Arabic","English","business","leadership-and-management","9E7syCLvEeayOhJvUh2IzQ"]
["Leadership and Management","Best Courses","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Leadership and Management","Best Courses","Applications of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.74,"https://www.coursera.org/learn/everyday-leadership-application","This course covers the following topics: negotiation, feedback and coaching, conflict management, and leading change. The objectives are to learn how to use leadership skills to work more effectively with others, how to use leadership skills to organize others to work more effectively together, and to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nLearners:\\n•\\tWill be able to negotiate effectively and influence others\\n•\\tProvide feedback and coaching that is appropriate and influential\\n•\\tWill be able to manage conflict and lead change\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; communication; performance-management; leadership; leadership-development; arbitration; decision-making; change-management; performance; negotiation","Strategic Leadership and Management",2.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[7.3,13.5]","NA","English","business","leadership-and-management","jlxKwZz9EeWIXgpWJNgyEw"]
["Leadership and Management","Best Courses","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Leadership and Management","Change Management","Leading Change in Health Informatics","Johns Hopkins University","Advanced",19.0,4.91,"https://www.coursera.org/learn/leading-change-health-informatics","Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine. \\n\\nWhether you're a nurse, pharmacist, physician, other allied health professional or come from a non-clinical background--you know that Health Informatics skills are in demand. This newly launched 5-course specialization by JohnsHopkins faculty members provides a solid foundation for anyone wanting to become a leader in  one of the hottest fields in healthcare. \\n\\nAs health informaticians, we need to be very clear in our understanding of the current state (as-is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use. \\n\\nBy the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations. ","change-management; health-informatics; cost; workflow; management","Health Informatics",2.0,"https://www.coursera.org/specializations/health-informatics","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[12.7,31.6]","NA","English","life-sciences","health-informatics","jePrjEQ1Eeim3goWHozWuA"]
["Leadership and Management","Change Management","Leadership and Emotional Intelligence","Indian School of Business","Advanced",12.1,4.74,"https://www.coursera.org/learn/emotional-intelligence-in-leadership","The digital age is dramatically reshaping the rules for organizational success. The new context demands renewal of your capabilities and development of different mindsets.  In this course, you’ll learn the different components of emotional intelligence at work. For example, you’ll learn how you can work effectively in teams, build cooperative relationships with your key stakeholders, exercise effective influence, handle difficult conversations, and create energy and enthusiasm to foster meaningful change. Our modules will begin with powerful stories that are illustrative of typical challenges faced by front-line leaders. We’ll analyze the case illustration using the ideas from emotional intelligence theory, and highlight the key lessons that you should take away in terms of mindsets and skills that you should master to distinguish yourself as a leader.","communication; management; emotional-intelligence; delegation; active-listening; leadership; change-management; listening; negotiation; emotional-competence","Business Technology Management",5.0,"https://www.coursera.org/specializations/business-technology-managment","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[7.2,15.3]","Arabic","English","business","leadership-and-management","9E7syCLvEeayOhJvUh2IzQ"]
["Leadership and Management","Change Management","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in international business.\\n\\nIf completed successfully, you may be able to use your certificate from this specialisation as part of the application process for the University of London Global MBA.\\n\\nThis Specialisation is endorsed by CMI.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Leadership and Management","Change Management","Applications of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.74,"https://www.coursera.org/learn/everyday-leadership-application","This course covers the following topics: negotiation, feedback and coaching, conflict management, and leading change. The objectives are to learn how to use leadership skills to work more effectively with others, how to use leadership skills to organize others to work more effectively together, and to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nLearners:\\n•\\tWill be able to negotiate effectively and influence others\\n•\\tProvide feedback and coaching that is appropriate and influential\\n•\\tWill be able to manage conflict and lead change\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; communication; performance-management; leadership; leadership-development; arbitration; decision-making; change-management; performance; negotiation","Strategic Leadership and Management",2.0,"https://www.coursera.org/specializations/strategic-leadership","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[7.3,13.5]","NA","English","business","leadership-and-management","jlxKwZz9EeWIXgpWJNgyEw"]
["Leadership and Management","Change Management","Conversations That Inspire: Coaching Learning, Leadership and Change","Case Western Reserve University","Advanced",16.5,4.72,"https://www.coursera.org/learn/leadership-coaching","Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.","leadership; life-coaching; life-coaches; active-listening; change-management; listening; compassion; emotional-intelligence; management; coaching","Inspired Leadership",3.0,"https://www.coursera.org/specializations/inspired-leadership","Non Specialization","[10.9,20.4]","Spanish","English","business","leadership-and-management","yBXw74emEeWRYRLoE9jCoQ"]
["Leadership and Management","Change Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Leadership and Management","Change Management","Management Skills for International Business","University of London","Intermediate",19.1,4.64,"https://www.coursera.org/learn/management-skills-international-business","This course focuses on a range of management techniques. You’ll discover the main skills and competencies of effective leaders, and how to distinguish between management and leadership. The course will cover team dynamics, how to build effective relationships, key motivation theories, and how to use communication to best effect.\\n\\nThis course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. \\n\\nIf completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.\\n\\nThis course is endorsed by CMI","motivation; communication; delegation; change-management; nonverbal-communication; leadership; management-styles; mathematical-optimization; team-management; management","International Business Essentials",2.0,"https://www.coursera.org/specializations/mba","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.3,24.4]","NA","English","business","leadership-and-management","xiJGs05kEeagxwr1Kg22cw"]
["Leadership and Management","Change Management","Leading transformations: Manage change","Macquarie University","Intermediate",16.8,4.56,"https://www.coursera.org/learn/change-management","We live in a globalised world of continuous change. Your ability to successfully manage change will allow you to have a positive impact on your work and your life. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessment) this course will teach you how to effectively influence change by developing a ‘change mindset’, creating a productive change cycle, and leading yourself and others on the change journey. You will learn how to re-imagine change by redefining the change problem and developing a balanced and reflective change mindset. Change is inevitable but you can influence how it affects your organisation.","change-management; leadership; corporate-governance; social-skills; strategic-thinking; presentation; organization-development; analysis; public-speaking; management","Influencing: Storytelling, Change Management and Governance",1.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[9.8,19.2]","NA","English","business","leadership-and-management","reFNTKW0Eeis9hK3qadDqA"]
["Leadership and Management","Culture","Cultural intelligence: Become a global citizen","Macquarie University","Beginner",11.3,4.7,"https://www.coursera.org/learn/cultural-intelligence","We now live in a truly global, interconnected world in which every manager requires a high level of cultural intelligence. In a diverse work environment, a successful leader must understand the cultural backgrounds, beliefs and attitudes of the people around them – or run the risk of failing to achieve the organisation’s goals. This course, via structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments), will teach you that those with high ‘cultural intelligence’ – are good at spotting cultural differences and adapt their behaviour accordingly. You’ll develop cultural intelligence and sensitivity – key future-focused capabilities required of every leader.","writing; interview; belief; global; management; translation; lecture; foreign-exchange-market; cultural-intelligence","Adapting: Career Development",2.0,"https://www.coursera.org/specializations/adapting-career-development","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[6.4,14.4]","NA","English","business","leadership-and-management","loupJKZbEeiLXw4QLApQMg"]
["Leadership and Management","Culture","Global Impact: Cultural Psychology","University of Illinois at Urbana-Champaign","Advanced",10.2,4.68,"https://www.coursera.org/learn/cultural-psychology-globalization","Globalization has brought dramatic changes to the marketplace. A proliferation of global brands brings diverse cultures to a consumer population that is also growing culturally diverse. This course enables students to understand how globalization changes consumers at a psychological level, and provides tools for imbuing brands with cultural meanings—creating iconic brands—that can resonate with global consumers. The focus is on understanding that culture exists in the mind (e.g., values and beliefs) as well as in the environment (e.g., objects, brands, and institutions), and that globalization creates multi-cultural spaces in contemporary societies. Consumers can use the cultural meaning of a brand to build their identities (i.e., assimilate the brand cultural symbolism) or reject the brand’s cultural meaning(s) (i.e., exclusionary reactions).\\n\\nThe course will help students identify when assimilation vs. exclusionary reactions are more likely to occur, as well as devise strategies for imbuing brands with cultural meanings that can elevate them to the status of cultural icons. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how globalization impacts the psychological responses of consumers in global markets \\n•\\tUnderstand what culture is and how it manifests itself \\n•\\tUnderstand how brands acquire cultural meanings \\n•\\tPredict consumers’ responses to the cultural meanings in brands \\n•\\tIdentify strategies to win-over multi-cultural consumers in globalized markets \\n•\\tLearn how to build an iconic brand\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","international-finance; acceptance; learning; audit; lecture; market-economics; cultural-psychology; brand; psychology; multiculturalism","Global Challenges in Business",5.0,"https://www.coursera.org/specializations/global-challenges-business","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[5.5,11.2]","NA","English","business","business-essentials","4nKsdN83Eea3uhKgRSNY-g"]
["Leadership and Management","Culture","International and Cross-Cultural Negotiation","ESSEC Business School","Intermediate",9.0,4.6,"https://www.coursera.org/learn/international-negotiation","All of us are aware that cultural differences are significant and that they affect how we interact with others in business and in leisure activities. But what is culture exactly, and how does it impact on negotiation, in particular? \\n\\nThis course will help you to be more precise about different dimensions of culture, from one region or country to another, while helping you to avoid simplifications, clichés and stereotypes. It will also lead you to a better overall awareness of your own culture.\\n\\nIn addition the course modules will guide you to a better understanding of when and how cultural differences are likely to influence the different dimensions of a negotiation - the people, problems and processes. Armed with that understanding, your awareness, preparation and strategy will be enhanced when you are faced with negotiators from cultures and regions different from your own. Your ability to anticipate and react, your negotiation flexibility, will be improved and refined.\\n\\nThe course also gives you a concrete look at quite different national and regional negotiation styles  (we look at the French, Chinese, North American and Middle Eastern). In addition, an examination of negotiation in two multicultural settings (European Union institutions, on the one hand, and the recent COP 21 climate conference in Paris, on the other) highlights the importance of well-designed negotiation processes for getting both efficiency and fairness.","lecture; buying; cross-cultural-communication; communication; relative-change-and-difference; intercultural-communication; supervision; arbitration; negotiation; multiculturalism","Negotiation, Mediation and Conflict Resolution",2.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","Organisations are undergoing enormous changes in their structures and processes as they seek to take advantage of innovations in technology, remain competitive in Globalising markets, and deal with the increasing diversity of their staff, customers, and supply chains. The four subjects in this specialisation will examine the personal implications of the changing organisational environment - the need to continuously adapt and learn, to manage your career, to build up resilience against stress, and to take your place as a global citizen.\\n\\nThe aim is to enable you to thrive in working in contemporary organsations. 'Improve yourself Always' addresses the need for you to continuously develop and seeks to improve your capacity to learn and adapt. 'Build Personal Resilience' helps you enhance your resilience in the face of the pressures you will experience in working in contemporary organisations. 'Your Career Your Life' guides you in taking more responsibility for mapping out and engaging in your career. 'Become a Global Citizen' discusses the need to see yourself as a citizen of the increasingly global world of work and provides insight into the strategies to deal with cultural diversity.","[5.2,12.2]","Arabic","English","business","leadership-and-management","N7hNkxv9EealIRJP087Tdw"]
["Leadership and Management","Culture","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Leadership and Management","Leadership Development","Adapt your leadership style","Macquarie University","Advanced",18.2,4.92,"https://www.coursera.org/learn/leadership-adapt-your-style","Why are organisational misbehaviours such as cynicism, apathy, bullying and disengagement increasingly prevalent in the workplace? This course examines these tensions and how transformational, authentic and inclusive leadership styles offer an alternative to the more autocratic, job-centred and controlling leadership styles of the past. You’ll learn how the digital revolution, along with an increased focus on projects and teamwork, has dramatically altered the perception of leadership in a way that now demands all organisational members take on some form of self-leadership. And you’ll learn how this change is causing tensions between traditional leaders and the contemporary practices vital to maintain agility in today’s ultra-competitive marketplace. This learning will be complemented by structured activities such as video lectures, quizzes, discussion prompts and written assessments.","human-resource-management; leadership-development; leadership; leadership-style; human-resources; agility","Leading: Human Resource Management and Leadership",3.0,"https://www.coursera.org/specializations/hr-management-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.3,24.2]","NA","English","business","leadership-and-management","hN6So5BcEeilcQpNXeebtA"]
["Leadership and Management","Leadership Development","Foundations of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",15.2,4.78,"https://www.coursera.org/learn/everyday-leadership-foundation","In this course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills.\\n\\nLearners:\\n•\\tUnderstand why and how leadership skills are so critical to organizational success\\n•\\tKnow how to use leadership skills to work more effectively with others, and are able to organize teams to work more effectively together\\n•\\tWill be able to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leadership; decision-making; analysis; team-management; communication; group-decision-making; leadership-development; strategic-leadership; motivation; management","Strategic Leadership and Management",1.0,"https://www.coursera.org/specializations/strategic-leadership","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[9.2,16.9]","NA","English","business","leadership-and-management","XupniISSEeWcSw7mZ7gPOw"]
["Leadership and Management","Leadership Development","Visionary leadership, identity & motivation: Become a meaning maker","Macquarie University","Intermediate",16.0,4.75,"https://www.coursera.org/learn/visionary-leadership-meaning-maker","When faced with a complex and ambiguous work environment, how do you, as a potential leader, envision the future? How can you deliver on your vision in a way that conveys meaning and drives positive change within your organisation? In this course you will explore how leaders can create a compelling vision and communicate it, and how they create meaning and make work more meaningful. You will look at the role the brain and the body play in processing meaning, and how this can inspire your employees to follow you and your vision. This course will also teach you how to develop meaningful brand identity and the role it can play in clarifying and reinforcing your leadership vision within your organisation, for your partners and for your customers. You will discover that meaning crosses into almost every aspect of management. Finally, you will better understand how social and cultural factors can influence what you can achieve and your limitations when seeking to create meaning.","brand; parenting; leadership; meaning-making; human-resource-management; learning; investor; integration-testing; human-resources; motivation","Leading: Human Resource Management and Leadership",4.0,"https://www.coursera.org/specializations/hr-management-leadership","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[8.3,20.6]","NA","English","business","leadership-and-management","lMzx9Zw8Eei8YRKKGEAtxg"]
["Leadership and Management","Leadership Development","Leadership and Emotional Intelligence","Indian School of Business","Advanced",12.1,4.74,"https://www.coursera.org/learn/emotional-intelligence-in-leadership","The digital age is dramatically reshaping the rules for organizational success. The new context demands renewal of your capabilities and development of different mindsets.  In this course, you’ll learn the different components of emotional intelligence at work. For example, you’ll learn how you can work effectively in teams, build cooperative relationships with your key stakeholders, exercise effective influence, handle difficult conversations, and create energy and enthusiasm to foster meaningful change. Our modules will begin with powerful stories that are illustrative of typical challenges faced by front-line leaders. We’ll analyze the case illustration using the ideas from emotional intelligence theory, and highlight the key lessons that you should take away in terms of mindsets and skills that you should master to distinguish yourself as a leader.","communication; management; emotional-intelligence; delegation; active-listening; leadership; change-management; listening; negotiation; emotional-competence","Business Technology Management",5.0,"https://www.coursera.org/specializations/business-technology-managment","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[7.2,15.3]","Arabic","English","business","leadership-and-management","9E7syCLvEeayOhJvUh2IzQ"]
["Leadership and Management","Leadership Development","Applications of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.74,"https://www.coursera.org/learn/everyday-leadership-application","This course covers the following topics: negotiation, feedback and coaching, conflict management, and leading change. The objectives are to learn how to use leadership skills to work more effectively with others, how to use leadership skills to organize others to work more effectively together, and to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nLearners:\\n•\\tWill be able to negotiate effectively and influence others\\n•\\tProvide feedback and coaching that is appropriate and influential\\n•\\tWill be able to manage conflict and lead change\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; communication; performance-management; leadership; leadership-development; arbitration; decision-making; change-management; performance; negotiation","Strategic Leadership and Management",2.0,"https://www.coursera.org/specializations/strategic-leadership","Non Specialization","[7.3,13.5]","NA","English","business","leadership-and-management","jlxKwZz9EeWIXgpWJNgyEw"]
["Leadership and Management","Leadership Development","Leadership in 21st Century Organizations","Copenhagen Business School","Beginner",37.1,4.72,"https://www.coursera.org/learn/leadership-21st-century","Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.\\n\\nThe course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591 \\n\\nAfter taking the course, you'll be able to:\\no   Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;\\no   Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;\\no   Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);\\no   Avoid \"slippery slope\" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.","strategic-management; communications-management; management-theory; corporate-governance; leadership; team-management; collaboration; communication; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,67.4]","NA","English","business","leadership-and-management","sK74dCWgEeW8-A6tkjXxWQ"]
["Leadership and Management","Leadership Development","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","cross-cultural-communication; leadership; conflict-resolution; communication; organizational-conflict; intercultural-communication; social-network; leadership-development; management; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,20.7]","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["Leadership and Management","Leadership Development","Ethical Leadership Through Giving Voice to Values","University of Virginia","Intermediate",19.0,4.69,"https://www.coursera.org/learn/uva-darden-giving-voice-to-values","This course offers an action-oriented introduction to Giving Voice to Values (or GVV), an exciting new approach to values-driven leadership development in the workplace, in business education and in life. \\n\\nGVV is not about persuading people to be more ethical, but instead it starts from the premise that most of us already want to act on our values, but that we also want to feel that we have a reasonable chance of doing so effectively. Through positive, real life examples, pre-scripting, rehearsal and peer coaching, GVV builds the skill, the confidence and likelihood that we will act on our values more often and more successfully. Based on research and practice, with over 1,000 pilots in educational settings and companies on all seven continents, GVV helps answer the questions: “What if I were going to act on my values? What would I say and do? How could I be most effective?”\\n\\nYou will come away from this course with an expanded toolkit, as well as practice, in a variety of methods and techniques for voicing and enacting your own values and principles. You will develop and practice leadership skills in \"peer coaching” with other learners. Through cases and stories based on recognizable workplace, classroom and life values conflicts, you will apply the GVV techniques and “re-frames”, expanding your repertoire for possible action as well as identifying and rehearsing responses that are likely to be most effective. Through this practice, you will gain greater confidence and competence in voicing and enacting your values effectively.","integration-testing; leadership-development; value-premium; exercise; leadership; choice; ethics; speech; communication; decision-making","Non Specialization","Non Specialization","Non Specialization","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[7.3,28.6]","NA","English","business","leadership-and-management","m3-YVtKREeaskwrhgK9PcA"]
["Leadership and Management","Leadership Development","Women in Leadership: Inspiring Positive Change","Case Western Reserve University","Advanced",13.9,4.67,"https://www.coursera.org/learn/women-in-leadership","This course aims to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes---to lead change with more conviction and confidence---and improve our workplaces and communities for all. By offering more complex understandings of issues related to professional women and work, the course will help you increase self-knowledge about your own values and vision, as well as enhance your capabilities as a leader, manager, and team contributor. We will examine the opportunities, challenges, trade-offs, and organizational dynamics experienced by women in work organizations, as well as reflect on and practice effective individual behaviors.\\n\\nThe course aims at answering questions such as: What are the valued attributes and behaviors of women in the workplace? How does the gendered nature of organizations impact women? What derails our career advancement and what propels us upward? What are your leadership goals and aspirations? How can you best integrate your multiple family and work life commitments? How do you define career success? What can organizations do to provide women with opportunities to excel? What opportunities could our global economy harness by advancing women to leadership? How can the full talents of the workforce be tapped into and developed?\\n\\nThe course is about leadership and inspiring change, but at its core it is meant to inspire and empower women and men across the world to engage in purposeful career development and take on leadership for important causes, to lead change with more conviction and confidence, and improve our workplaces and communities for all. Your involvement in the course activities is essential to help you learn these concepts and develop the necessary skills to implement them. If you watch the videos and read the required articles you will be introduced to some intriguing ideas. If you do the personal reflective exercises and complete the final project you will convert those ideas into relevant experiences to enhance your life and work. Going beyond your personal relevance, your potential learning will expand to understanding and working with others more effectively through either the Discussion Forums in the course or through face-to-face discussions (some of you are taking the course in groups). Each week, we will post reminders, changes, and other relevant announcements.","leadership-development; assertiveness; leadership; confidence; resource; self-confidence; communication; negotiation; integration-testing; management","Inspired Leadership",2.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[7.7,18.6]","German; Portuguese; Chinese; Arabic","English","business","leadership-and-management","7y_BGIbyEeWgjA5cAvYgmw"]
["Leadership and Management","Leadership Development","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","This Specialization will help you switch from a top-down leadership, with the emphasis on authority, to an open leadership based on trust and sense.\\n\\nThis new approach of leadership, taught to HEC MBA’s student and top executives, encourages relationships between people in spite of their differences of opinion and enables better team leadership.\\n\\nThe Savoir-Relier protocol is based on more than 25 years of research and practice. It has been implemented with positive impact on individual and teams in companies like Apple, L'Oréal, LVMH, Sanofi or Pernod Ricard for example.\\n\\nJust as them, as an executive, manager or individual, you will practice the Savoir-Relier method and discover that when done with courage, empathy, humility and resilience, it stimulates creative initiatives, and creates meaning to foster action and results. It will help you to overcome difficult situations with resilience and navigate complex systems.\\n\\nYou will explore your own leadership style through conversations with your peers, and acquire the necessary self-confidence to make good decisions based on the opinions and ideas of others, even if they are contradictory\\n\\nYou will also hear perspectives on leadership from outstanding leaders such as an Olympic athlete, business executives, and other distinguished guest speakers.\\n\\nIn the final Capstone Project, you will apply the skills you have grown and the models you have learned to address and overcome a personal leadership challenge.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Leadership and Management","Leadership Development","Building Your Leadership Skills","HEC Paris","Beginner",12.2,4.5,"https://www.coursera.org/learn/leadership-skills","When taking this course, you will raise your own self-awareness and gain self-confidence for a better leadership. \\nYou will discover a new approach to leadership based on trust and sense. \\nThe “Savoir-Relier” leadership, a new approach of leadership, taught to HEC MBA’s student and top executives, enables better team leadership and encourages relationships between people in spite of their differences of opinion. \\n\\nYou will develop relational skills, self-knowledge and self-awareness on the way to unfold your own leadership style. You’ll learn the skills of The Savoir-Relier (SR) methodology for better connecting with yourself or others by going through the following 4 steps for successful leadership: Introspection, Conversation, Resilience and Responsibility toward Value Creation. \\nIn this first MOOC of the \"Inspirational Leadership\" specialization, you will practice the first two steps of the method for successful leadership: Introspection and Conversation. You will get to know yourself better during the Introspection part and get a chance to improve your communication skills in order to better interact with others. You will meet people like you who will share their stories and their experience with Savoir-Relier and why it is so inspiring for them in their life. Together, you’ll develop greater self-awareness by developing a leadership self-portrait and going through fun activities to increase your empathy and communication.\\n\\nLeaders from different organizations and participants of the HEC Paris Leadership Certificate, the program from which this course and specialization are inspired, will share with you their insights about what it takes to become a great leader and what they are able to achieve now that they apply The Savoir-Relier methodology. \\n\\nThis course is part of the specialization “Inspirational Leadership: Leading with Sense”. In the next courses, you'll go through the second two steps of leadership: Resilience and Responsibility toward Value Creation.","communication; confidence; self-awareness; listening; leadership-development; awareness; management; self-confidence; leadership; integration-testing","Inspirational Leadership: Leading with Sense",1.0,"https://www.coursera.org/specializations/inspirational-leadership","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[7.8,18]","French; Vietnamese; Greek; Arabic; Persian","English","business","leadership-and-management","Wl5ych5kEeWFIxLDnS6_kQ"]
["Leadership and Management","Organizational Development","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Leadership and Management","Organizational Development","International Organizations Management","University of Geneva","Beginner",19.3,4.79,"https://www.coursera.org/learn/international-organizations-management","This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today. It will introduce you to effective, state-of-the art management tools and principles to help you lead change in this world – taught by senior staff of international organizations themselves. \\n\\nThis is an introductory course offered by the International Organizations MBA (IO-MBA) of the University of Geneva, an executive program for change-makers in international organizations, NGOs and social ventures.","fundraising; collaborative-partnerships; management; marketing; leadership; marketing-communications; collaboration; communication; partnership; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.6]","NA","English","business","leadership-and-management","kw2eEcR8EeWUVgrPm5MRqw"]
["Leadership and Management","Organizational Development","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Non Specialization","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Leadership and Management","Organizational Development","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","cross-cultural-communication; leadership; conflict-resolution; communication; organizational-conflict; intercultural-communication; social-network; leadership-development; management; motivation","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.9,20.7]","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["Leadership and Management","Organizational Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.6,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","decision-making; organization-development; succession-planning; organizational-structure; organization-design; leadership; management-organizations; design-management; organizational-culture; management","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8,15.8]","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["Leadership and Management","Organizational Development","Organizational Behavior: How to Manage People","IESE Business School","Intermediate",11.9,4.58,"https://www.coursera.org/learn/managing-people-iese","Peter Drucker, a pioneer in the field of management, once said that people have a perverse tendency to behave like human beings. Of course, we are not machines, and certainly not programmable. But through the study of organizational behavior, we can gain insights into what makes people tick within a work context. Increasing your understanding of your own behavior and that of your colleagues, teams and leaders, is an important first step to bringing positive change to how you and your organization work.\\n\\nThe objective of this course is therefore to provide insight into four key areas:\\n •\\tMotivation. In this course segment we will understand the concept of motivation and review various perspectives that will help you understand how we can motivate others. \\n•\\tLeadership. In this part of the course, we will analyze the concept of leadership and consider various perspectives and approaches to help shed light on leadership emergence and effectiveness.\\n•\\tTeamwork. Here we look at team functioning and effectiveness. Using the widely used input – process – output model of team effectiveness, we consider such topics as team diversity, team processes, and team outcomes.\\n•\\tCulture. Finally, we'll move to the level of the organization and consider the concept of organizational culture, also touching upon the concept of national culture. We look at the various ways in which culture is expressed, and discuss the implications of culture for people within organizations and cross-cultural collaborations.","management; team-leader; performance; communication; psychology; organizational-culture; leadership; motivation; team-building; integration-testing","Foundations of Management",4.0,"https://www.coursera.org/specializations/foundations-management","Non Specialization","[6.4,16.1]","Vietnamese; Spanish","English","business","leadership-and-management","SKOeUY7CEeW2aQ7olstw0Q"]
["Leadership and Management","Organizational Development","Designing the Organization","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.55,"https://www.coursera.org/learn/designing-organization","Organizations are complex and can be difficult to manage well.  So managers need tools to help them better understand and deal with the many complexities and challenges associated with organizational life.  In this course, you will learn theories, principles, and frameworks that will help you to design more effective organizations.  We will view organizations from different perspectives that we will use as lenses to help us bring common organizational challenges, and solutions to those challenges, into focus.  Some of these common challenges include clarifying the organization’s purpose, setting up effective governance systems, measuring organizational effectiveness, choosing an appropriate organizational structure, dealing with growing pains, and responding to changes outside the organization.  As you learn and apply the principles from this course, you will be better prepared to effectively navigate the challenges that you face in your own organization.","business-model; organizational-structure; organization-design; organizational-theory; strategic-management; corporate-bond; management; analysis; leadership; modeling","Strategic Leadership and Management",3.0,"https://www.coursera.org/specializations/strategic-leadership","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[10.1,19.5]","NA","English","business","leadership-and-management","yEfdpZz9EeWlGQ5Xb9b0kw"]
["Leadership and Management","Organizational Development","Strategic Organization Design","Ludwig-Maximilians-Universität München (LMU)","Intermediate",15.5,4.54,"https://www.coursera.org/learn/organization-design","Strategic Organization Design will introduce new topics and modules with even more real world examples and opportunities for student interaction than its predecessors Competitive Strategy (https://www.coursera.org/learn/competitive-strategy) and Advanced Competitive Strategy (https://www.coursera.org/learn/advanced-competitive-strategy).\\n\\nThe final course in the Competitive Strategy and Organization Design specialization covers the internal workings of an organization and its interactions with the outside world. Where the first two courses mainly covered the way firms interact with the outside world, in particular competitors and complementors, the third course looks at the way a firm’s organization should be designed to compete effectively.","strategic-planning; management; business-strategy; performance; program-management; organizational-structure; strategic-management; planning; organization-design; corporate-bond","Competitive Strategy and Organization Design",3.0,"https://www.coursera.org/specializations/competitive-strategy","NA","[5.9,26.6]","NA","English","business","business-strategy","VncqK1pcEeaf-Qp81ahtrQ"]
["Leadership and Management","People Development","Grow Your Business with Goldman Sachs 10,000 Women","Goldman Sachs","Beginner",4.9,4.87,"https://www.coursera.org/learn/gs10kw","Welcome to Grow Your Business with Goldman Sachs 10,000 Women.\\n\\nGoldman Sachs 10,000 Women is a global initiative that fosters economic growth by providing women business owners around the world with business and management education, mentoring and networking, and access to capital.\\n\\nThis introductory business course has been developed from the face-to-face program which has enabled over 10,000 women to see immediate and sustained business growth. It is designed for women business owners, running established businesses operating for more than one year, to provide the practical tools and skills required to help you grow your business. The course will enable you to develop your understanding of the three key ingredients of growth potential: you, your business, and your opportunity. \\n\\nThrough focused and tailored exercises, you will assess the strengths and weaknesses of your business and yourself as a business leader. You will also identify and refine your key opportunities for business growth. As you complete the course, you will be connecting with like-minded business owners from around the world. The course will provide you with a unique forum to share your experiences, and provide support and advice to others. \\n\\nWhat can you do after this introductory course?\\n\\nOnce you finish this introductory course, you will have the opportunity to continue your learning journey with 10,000 Women through a further 10 weeks of online learning.\\n\\nThe innovative 10-week course covers a full range of business topics from your leadership style and management structure to resource allocation and operational efficiency. You will build on what you learn in the introductory course and analyze the growth of your business further through the creation of a Business Growth Plan (BGP). The BGP is a strategic and tactical implementation tool designed to guide your business’s growth and help you to communicate your opportunity, vision, and ideas to your team, stakeholders, and customers.\\n\\nUpon successfully completing the two courses, you will be able to join the 10,000 Women alumni community and connect with a global network of past participants.","plan; decision-making; strategic-thinking; business-strategy; business-analysis; business-analytics; confidence; management; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[2.1,6.5]","Chinese","English","business","entrepreneurship","UDOU-36EEeebcBJbr9YsJg"]
["Leadership and Management","People Development","Managing the Company of the Future","University of London","Beginner",18.6,4.77,"https://www.coursera.org/learn/company-future-management","The aim of the course is to provide you with a comprehensive framework for understanding both the traditional principles of management inside companies today as well as the alternative principles that are becoming increasingly important. It provides both theoretical and practical perspectives on the nature of management in today’s organisations.","organization-design; leadership; strategic-management; corporate-governance; management-theory; modeling; communication; management; motivation; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21]","Arabic","English","business","leadership-and-management","bzhAuJ9sEeWJORITtzkPnQ"]
["Leadership and Management","People Development","Conversations That Inspire: Coaching Learning, Leadership and Change","Case Western Reserve University","Advanced",16.5,4.72,"https://www.coursera.org/learn/leadership-coaching","Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.","leadership; life-coaching; life-coaches; active-listening; change-management; listening; compassion; emotional-intelligence; management; coaching","Inspired Leadership",3.0,"https://www.coursera.org/specializations/inspired-leadership","Non Specialization","[10.9,20.4]","Spanish","English","business","leadership-and-management","yBXw74emEeWRYRLoE9jCoQ"]
["Leadership and Management","People Development","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Leadership and Management","People Development","Designing and Implementing Your Coaching Strategy","University of California, Davis","Na",10.5,4.7,"https://www.coursera.org/learn/design-coaching-strategy","In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching skills to develop and get the best work out of employees has become essential. Throughout the Coaching Skills for Managers specialization, we’ve discussed many topics for improving coaching conversations with our employees. It is now time to put all of that theory and discussion into practice as you solidify your coaching philosophy, develop your coaching practice and agendas, and demonstrate mastery at handling everyday coaching conversations!\\n\\nPlease take note that this course builds upon all previous courses in the Coaching Skills for Managers specialization. While not required, it is highly recommended that students complete or be familiar with the topics covered in those courses before taking this course in order to be most prepared for the assignments in this course.\\n\\nYou will use the leadership point of view developed in Course 1 to articulate your coaching philosophy, and produce clearly defined expectations for people on your team, as well as Key Performance Indicators you will use to evaluate performance, building on your work from Course 2. You will use the techniques learned in Courses 3 to prepare for and practice coaching conversations, and use what you have learned to provide feedback to your other colleagues in this project-based course.\\n\\nBy the end of this project-based course, you will have developed and refined your entire coaching strategy to roll out with your team. Specifically, you will be able to define your coaching philosophy and explain it to someone else, develop a tailored coaching practice along with coaching agendas for your team in alignment with your organization's goals, and have an effective and productive coaching conversation with those you supervise.","utility; philosophy; human-resources; thought; holocaust; empathy; facilitation; performance; asset; coaching","Non Specialization","Non Specialization","Non Specialization","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[6.7,12.3]","NA","English","business","leadership-and-management","OHtNW3Q9EeWLqw7zlLhRzQ"]
["Leadership and Management","People Development","Coaching Practices","University of California, Davis","Intermediate",10.7,4.69,"https://www.coursera.org/learn/coaching-practices","In order for coaching to be most effective, it’s important that there is strong culture of coaching and accountability which you will learn how to incorporate into your one-on-one meetings in this course. \\n\\nWe’ll discuss strategies in coaching great employees who are highly motivated, consistent performers, and poor performers.  \\n\\nWe’ll explore specific tools, such as a coaching agenda, you can employ immediately in your coaching conversations. You will learn how to use the \"Coaching Algebra\" technique in typical performance scenarios managers encounter. Finally, you’ll walk away from this course with some concrete strategies on how to coach other coach-managers.\\n\\nIf you are ready to begin creating a coaching practice within your own organization, please join us in this course!","performance; algebra; it-risk; employment; thought; modeling; leadership; management; meeting; coaching","Coaching Skills for Managers",3.0,"https://www.coursera.org/specializations/coaching-skills-manager","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[6.4,14]","Vietnamese; Arabic","English","business","leadership-and-management","CuQpLnQ9EeWrAxJQXw-8PQ"]
["Leadership and Management","People Development","Managing as a Coach","University of California, Davis","Beginner",10.0,4.65,"https://www.coursera.org/learn/managing-as-a-coach","Do you (or do you want to) manage employees? Have you ever wondered how to get better performance out of those you manage? Are you unsure if you are communicating effectively with your employees? If you answered “yes” to any of these questions, then this course – and its associated specialization – is for you!\\n\\nLeadership and management responsibilities have changed dramatically, particularly in the last decade. In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching has become essential. \\n\\nIn this course, you will learn what coaching is and learn how to differentiate between it and all of the other myriad roles managers are expected to perform – managing, mentoring, leading, and training. You’ll learn about the importance of strong leadership and learn to describe your current point of view as a leader, and evaluate when to adjust your thinking in order to be more effective in managing and leading in a rapidly evolving workplace.\\n\\nAnd finally, you’ll be introduced to the Thought Model, a coaching technique you can use to develop better thinkers and better performers. So if you’re ready to learn all about how to be a more effective and valued manager using coaching techniques, join us as we explore more successful managing through coaching!","communication; thought; leadership; mentorship; management-styles; active-listening; modeling; management; integration-testing; coaching","Coaching Skills for Managers",1.0,"https://www.coursera.org/specializations/coaching-skills-manager","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[6.5,14.4]","Vietnamese; Arabic","English","business","leadership-and-management","wnxlH3Q8EeWLqw7zlLhRzQ"]
["Leadership and Management","People Development","The Manager's Toolkit: A Practical Guide to Managing People at Work","University of London","Beginner",10.0,4.6,"https://www.coursera.org/learn/people-management","The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. \\n\\nAt the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.","interview; conflict-resolution; organizational-conflict; performance; decision-making; performance-management; resource; human-resources; leadership; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,12.6]","NA","English","business","leadership-and-management","Wv_qFVYzEeWKXg4Y7_tPaw"]
["Leadership and Management","People Development","Coaching Conversations","University of California, Davis","Beginner",13.2,4.6,"https://www.coursera.org/learn/coaching-conversations","Throughout the Coaching Skills for Managers specialization, we’ve discussed many topics for improving coaching conversations with our employees. It is now time to put all of that theory and discussion into practice and examine great examples of common coaching conversations!\\n\\nNote: This course builds on all previous courses in the Coaching Skills for Managers specialization. It is highly recommended that students complete or be familiar with the topics covered in those courses before taking this course. In particular, you should be familiar with the coaching strategies and tools discussed in previous courses (such as the 5 whys technique, resisting what is, among others), and should have a full understanding of the Thought model and the various components of it: circumstances, thoughts, feelings, actions, and results.\\n\\nBy the end of this course, you will be able to demonstrate appropriate and effective strategies when engaging in coaching conversations with those that you lead. By exploring and analyzing common coaching scenarios that are acted out in this course, you will have a great sense of what works well and not so well during such a conversation. Specifically, you'll be able to better differentiate between a developmental coaching approach and a directive management style, discuss new strategies and techniques for dealing with both mind set and skill set gaps, describe how to use the feedback loop effectively in a conversation, and demonstrate the use of good questioning techniques and the thought model to not only help an employee identify issues, but help the employee really change their thinking.\\n\\nThe final assignment is all about actually having a coaching conversation with another person where you can apply everything you've learned in this course and throughout the Coaching Skills for Managers specialization. Again, it is highly recommended students complete the other courses in the specialization before taking this one. This peer review assignment, in particular, will be difficult to complete without knowledge of the topics covered in these courses.\\n\\nAfter going through the course materials and completing the assessments, you will be able to have more effective one-on one-coaching meetings with those you manage and deepen your understanding of the essential practice of coaching conversations.","management; life-coaching; thought; personal-development; employment; hold; performance; modeling; planning; coaching","Coaching Skills for Managers",4.0,"https://www.coursera.org/specializations/coaching-skills-manager","Non Specialization","[7,14.7]","Arabic","English","business","leadership-and-management","ISGr03Q9EeWLqw7zlLhRzQ"]
["Leadership and Management","People Development","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Leadership and Management","Personal Development","Introduction to Self-Determination Theory: An approach to motivation, development and wellness","University of Rochester","Intermediate",13.4,4.91,"https://www.coursera.org/learn/self-determination-theory","Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. \\n\\nIn this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.","self-determination-theory; psychotherapy; attention-deficit-hyperactivity-disorder; addiction; personal-development; spatial-data-transfer-standard; relationship-counseling; psychology; motivation; coaching","Non Specialization","Non Specialization","Non Specialization","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[7.3,19]","NA","English","life-sciences","psychology","vQs6P8eLEea_mxKQvxD5nA"]
["Leadership and Management","Personal Development","The Science of Well-Being","Yale University","Advanced",19.3,4.81,"https://www.coursera.org/learn/the-science-of-well-being","In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.\\n\\nTHE SCIENCE OF WELL BEING WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.","gratitude; meditation; mindfulness; kindness; psychologies; savoring; psychology; positive-psychology; happiness; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,24.1]","Spanish","English","personal-development","personal-development","rUHfSakHEeeQ3gpuC4Fs_g"]
["Leadership and Management","Personal Development","Learning How to Learn: Powerful mental tools to help you master tough subjects","University of California San Diego","Beginner",11.8,4.8,"https://www.coursera.org/learn/learning-how-to-learn","This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.  \\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nThis course can be taken independent of, concurrent with, or prior to, its companion course, Mindshift. (Learning How to Learn is more learning focused, and Mindshift is more career focused.)\\n\\nTo join the fully translated Portuguese version of the course, visit: https://www.coursera.org/learn/aprender\\nTo join the fully translated Spanish version of the course, visit: https://www.coursera.org/learn/aprendiendo-a-aprender\\nTo join the fully translated Chinese version of the course, visit: https://www.coursera.org/learn/ruhe-xuexi\\nTo join the fully translated French version of the course, visit : http://www.coursera/learn/apprendre-comment-apprendre","stress; learning-how-to-learn; learning-to-learn; memory; procrastination; integration-testing; pomodoro-technique; test-preparation; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,13.7]","Chinese; Greek; French; Bengali; Ukrainian; Hungarian; Serbian; Italian; Vietnamese; Russian; Portuguese; Persian; Hebrew; Arabic; Spanish; Thai; Estonian; Romanian; Tamil; Polish; Dutch; German","English","personal-development","personal-development","GdeNrll1EeSROyIACtiVvg"]
["Leadership and Management","Personal Development","Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential","McMaster University","Beginner",13.8,4.75,"https://www.coursera.org/learn/mindshift","Mindshift is designed to help boost your career and life in today’s fast-paced learning environment. Whatever your age or stage, Mindshift teaches you essentials such as how to get the most out of online learning and MOOCs, how to seek out and work with mentors, the secrets to avoiding career ruts (and catastrophes) and general ruts in life, and insights such as the value of selective ignorance over general competence.  We’ll provide practical insights from science about how to learn and change effectively even in maturity, and we’ll build on what you already know to take your life’s learning in fantastic new directions.  This course is designed to show you how to look at what you’re learning, and your place in what’s unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You’ll see that by using certain mental tools and insights, you can learn and do more—far more—than you might have ever dreamed!\\n\\nThis course can be taken independent of, concurrent with, or subsequent to, its companion course, Learning How to Learn.  (Mindshift is more career focused, and Learning How to Learn is more learning focused.)","lifelong-learning; personal-development; confidence; learning-to-learn; career; meditation; pomodoro-technique; mindfulness; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.9]","Spanish; Vietnamese","English","personal-development","personal-development","XDJWC7ZqEeaa7BLnmaLUtg"]
["Leadership and Management","Personal Development","Intelligence Tools for the Digital Age","IE Business School","Beginner",8.6,4.68,"https://www.coursera.org/learn/intelligence-tools-digital-age","Digital technologies are changing business, government and society worldwide.  Clearly, they’re opening up new risks and opportunities for every sector of the world economy. Such “futurology” may offer you the big picture, but what does a digital world mean for you, personally?  Will you be ready for an automated, AI-assisted, big-data-driven employment future?  \\n\\nThis course provides you an answer to these questions, and it does so from a unique perspective:  by introducing you to the world of intelligence analysis.  First, this course explains some of the skills that will command a premium in the digital age, and why.  Then, it offers you mental models and practical frameworks developed by the US intelligence community to give you a cognitive edge understanding the digital world.  This edge is not about spying or secrets. It’s about better thinking.  This analytic toolkit has nothing to do with tired, static MBA-style strategy frameworks.  Instead, these tools to help you come to grips with the volatility, uncertainty, ambiguity and deception of the digital age. Ultimately, this course makes the case that as the world becomes more digital, your future success depends most of all on asking better questions of both yourself and others.  Therefore, it teaches you how to adopt an intelligence analyst’s question-asking mindset.  In short, take this course to acquire a sustainable business advantage through clearer, more structured thinking.","business-intelligence; strategic-thinking; analysis; data-analysis; systems-thinking; intelligence-analysis; business-analysis; analytics; critical-thinking; decision-making","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,11.1]","NA","English","business","leadership-and-management","pls4yytZEeigsxKfhos0rA"]
["Leadership and Management","Personal Development","Personal Leadership Development Planning and Leading High Performing Teams","Rice University","Intermediate",19.2,4.58,"https://www.coursera.org/learn/leadership-development-planning","An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.","motivation; performance; project; leadership; smart-criteria; plan; leadership-development; writing; project-team; personal-advertisement","Leadership Development for Engineers",3.0,"https://www.coursera.org/specializations/leadership-development-engineers","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[7.5,33.8]","NA","English","business","leadership-and-management","A5jeDWhuEeak0hLPfPzoPw"]
["Leadership and Management","Personal Development","Ignite Your Everyday Creativity","The State University of New York","Na",21.6,4.37,"https://www.coursera.org/learn/ignite-creativity","Creativity is an essential skill for the 21st Century that is innate in all people and can be nurtured. We constantly need new and better ideas for almost every aspect of our professional and personal lives. The goal of this course is to help you recognize, develop and act upon the creativity that you already possess. We will accomplish this using three methods: b aware, b inspired, and b creative.\\n\\nUpon completion of this course participants will:\\n\\nRecognize the inherent creativity in yourself and others.\\nIdentify characteristics of a creative person that relate to yourself.\\nDevelop creative problem solving skills using the basic elements of the creative process.\\nExamine qualities of a creative environment in real world settings.\\nEvaluate an idea using the creative product criteria.","brainstorming; awareness; i-deas; documents; learning; process; creativity; product-business; measurement; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.8,26.7]","Ukrainian","English","personal-development","personal-development","OFscqWDPEeWFnw4rjmRYKQ"]
["Leadership and Management","Planning","International Marketing Entry and Execution","Yonsei University","Intermediate",6.8,4.71,"https://www.coursera.org/learn/international-marketing-entry-execution","This will be part 2 of a two-series foundation courses for the Specialization: International Marketing & Cross Industry Growth. This course will dive in more deeply into consumer science investigation, B2C marketing, International Marketing Entry, Targeting, Positioning, International Product, International Promotion, International Place and International Price. The last set of classes will discuss seven new ways to innovate in International Marketing that all start with the letter \"S\" and hence will be called the 7S International Marketing Innovation. There will be a heavy emphasis on how companies can incorporate CCCI Innovation, i.e. Cross Country and Cross Industry Innovation in marketing.\\n\\nAfter you successfully complete this course learners will obtain the following outcomes:\\n\\n(1) from a business to consumer standpoint (B2C), learn how to approach consumers as science investigators.\\n(2) an understanding of how to enter international markets, select targets and position their brands.\\n(3) achieve deeper insights into the core meaning of international marketing elements, i.e. product, promotion, place, and price in the international marketing context, and their inter-element relationships with each other.\\n(4) acquire new thinking about innovating in marketing with the 7S approach: social, small, simple, skip, sports, screen, and set marketing with cross-country and cross-industry innovation implications.","principle; c-ross; product; marketing; sports; innovation; global-marketing; product-management; competitiveness; customer-relationship-management","International Marketing & Cross Industry Growth",2.0,"https://www.coursera.org/specializations/international-marketing","Non Specialization","[4,8.4]","Spanish; Korean; Chinese","English","business","marketing","1vFfwoE5EeWuHwqbqMyacw"]
["Leadership and Management","Planning","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","Non Specialization","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Leadership and Management","Planning","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Leadership and Management","Planning","Initiating and Planning Projects","University of California, Irvine","Beginner",7.5,4.63,"https://www.coursera.org/learn/project-planning","The courses in the Introduction to Project Management Principles and Practices Specialization are a recommended precursor to UCI's Applied Project Management Certificate. \\n\\nSuccessful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the key characteristics of a project\\n2.       Identify primary project constraints\\n3.       Define the role and responsibilities of the project manager\\n4.       Identify Project Organizational Structures\\n5.       Understand the definition of a Project Stakeholder\\n6.       Identify project stakeholders\\n7.       Identify information needs of the project stakeholders\\n8.       Define responsibility for managing stakeholder and controlling stakeholder engagement\\n9.       Define the purpose of using a project charter\\n10.     Summarize the key elements of a project plan\\n11.     Identify common sources of conflict within a project environment\\n12.     Describe the difference between authority and influence","project; planning; plan; resource; project-management; project-plan; project-planning; project-charter; communication; management","Project Management & Other Tools for Career Development",1.0,"https://www.coursera.org/specializations/project-management-success","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[4,9.3]","Vietnamese; Spanish; Croatian; Arabic; Catalan","English","business","leadership-and-management","iRBJm_LREeSplSIACzYDNg"]
["Leadership and Management","Planning","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Leadership and Management","Planning","Models & Frameworks to Support Sales Planning","Fundação Instituto de Administração","Advanced",21.4,4.57,"https://www.coursera.org/learn/models-frameworks-support-sales-planning","Welcome to Course 3 - Models & Frameworks to Support Sales Planning – In this course, you’ll go through a conceptual approach to selling models and frameworks.\\nAs a primary learning outcome of this course, we emphasize the improvement in the analytical competencies and skills to develop sales planning and management. And the learning process goes through the application of the models and frameworks that contribute to supporting these processes.\\nThis course is aimed at professionals who seek improvement in conceptual support to the sales planning process, especially with an emphasis on applying selling models and frameworks methodology.\\nAt this point of the Strategic Sales Management specialization, you have an excellent understanding of the integration of sales planning to the strategy of the company. You also have a vision of major prescriptions and recommendations to support this integration, and proceed to strategic sales planning by applying intelligence analysis.\\nNow, in this course, selling models and frameworks will be discussed, from a conceptual standpoint to add methodological structure into the sales planning process. Therefore, throughout the modules of this course, the subjects discussed will include topics of sales management (module 1), the selling models and frameworks (module 2) that support sales planning, which relates to the hard skills that may be applied. \\nIn the third module of this course, soft skills are brought to the discussion, since they comprise an essential component because sales functions include many aspects of the human interactions.\\nPlease follow the steps of the course, and for academic objectives, we would recommend you to do it in the sequence of modules proposed, though you may take them in a different order.\\nWe look forward to having you during the course modules and lessons.","customer; plan; management; sales-management; sales-strategy; modeling; training; sales; communication; negotiation","Strategic Sales Management",3.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[11.3,21.6]","NA","English","business","business-strategy","CwrcGov8EeePWgqbK9hHyA"]
["Leadership and Management","Planning","Scaling Operations: Linking Strategy and Execution","Northwestern University","Beginner",14.7,4.47,"https://www.coursera.org/learn/operations-strategy","UPDATE FEBRUARY 2020: Scaling Operations: Linking Strategy and Execution will close for new learner enrollment on February 26, 2020. \\n\\n----\\nOver the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.\\n\\nScaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy.\\n\\nEach week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization.","scaling; process-management; enterprise-system; systems-thinking; estimation; management; process; strategic-management; asset; operations-management","Non Specialization","Non Specialization","Non Specialization","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[8.9,18.3]","NA","English","business","business-strategy","Cil8XPTgEeSlpiIAC7NwBA"]
["Leadership and Management","Professional Development","Professionalism in an era of change","Utrecht University","Intermediate",14.8,5.0,"https://www.coursera.org/learn/professionalism-in-an-era-of-change","In this course we aim to provide you with an insight into how recent societal and technological developments have changed the work of professionals in a variety of professional domains and how this in turn affects professionalism. The course highlights core themes, discusses main insights and theories, raises questions and presents cases, and links insights to practical challenges in various professional domains. It provides a state of the art assessment of professionalism in transition, by looking back and looking forward. It supports target audiences in dealing with professional services and professionals.  \\n\\nThe programme has an interdisciplinary approach and will focus on different levels:\\nAt macro level the course presents a historical and sociological view on past and future changes in professions, focused on: \\n•\\thow do professional fields develop?\\n•\\thow is professionalism promoted and encouraged among professionals?\\n•\\thow do professional fields control and empower their members?\\n\\nAt meso level the course presents an organisational view on changes within professional partnerships and institutions, focused on the following questions:\\n•\\thow do norms and routines affect professionals and professional work?\\n•\\thow do professionals organise and lead professional work?\\n\\nAt micro level a psychological perspective on changing work and a changing work environment of professionals is presented. This part focuses on the following questions:\\n•\\thow do professionals deal with work pressure and remain motivated?\\n•\\twhich competencies do professionals require to be able and capable to deliver?\\n\\nWe invite you to join us and increase your understanding of the topics addressed in this course through lectures, interviews, animations, readings and peer interaction.","psychology; organizing-management; empowerment; lifelong-learning; professional; organizational-psychology; quality-control; market-economics; sociology; motivation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,18.1]","NA","English","personal-development","personal-development","0jk2ODDsEeiGpQoF2nM0eA"]
["Leadership and Management","Professional Development","The Science of Well-Being","Yale University","Advanced",19.3,4.81,"https://www.coursera.org/learn/the-science-of-well-being","In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.\\n\\nTHE SCIENCE OF WELL BEING WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.","gratitude; meditation; mindfulness; kindness; psychologies; savoring; psychology; positive-psychology; happiness; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,24.1]","Spanish","English","personal-development","personal-development","rUHfSakHEeeQ3gpuC4Fs_g"]
["Leadership and Management","Professional Development","Learning How to Learn: Powerful mental tools to help you master tough subjects","University of California San Diego","Beginner",11.8,4.8,"https://www.coursera.org/learn/learning-how-to-learn","This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.  \\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nThis course can be taken independent of, concurrent with, or prior to, its companion course, Mindshift. (Learning How to Learn is more learning focused, and Mindshift is more career focused.)\\n\\nTo join the fully translated Portuguese version of the course, visit: https://www.coursera.org/learn/aprender\\nTo join the fully translated Spanish version of the course, visit: https://www.coursera.org/learn/aprendiendo-a-aprender\\nTo join the fully translated Chinese version of the course, visit: https://www.coursera.org/learn/ruhe-xuexi\\nTo join the fully translated French version of the course, visit : http://www.coursera/learn/apprendre-comment-apprendre","stress; learning-how-to-learn; learning-to-learn; memory; procrastination; integration-testing; pomodoro-technique; test-preparation; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,13.7]","Chinese; Greek; French; Bengali; Ukrainian; Hungarian; Serbian; Italian; Vietnamese; Russian; Portuguese; Persian; Hebrew; Arabic; Spanish; Thai; Estonian; Romanian; Tamil; Polish; Dutch; German","English","personal-development","personal-development","GdeNrll1EeSROyIACtiVvg"]
["Leadership and Management","Professional Development","Career planning: Your career, your life","Macquarie University","Beginner",11.7,4.77,"https://www.coursera.org/learn/career-development-planning","Are you satisfied with your career? Where do you see yourself in the future? No matter where you are on your professional journey, careful planning will help you reach your goals. This course will help you adapt to rapidly evolving job markets by enhancing your self-knowledge and confidence to explore wider career opportunities. You will create a career development plan, encompassing your career goals, skills and knowledge development for your current and future jobs, and learn how to make the most of your strengths, talents, and experience. You’ll receive valuable guidance based on practical suggestions, theoretical models and current empirical evidence. Via structured learning activities you will gain an appreciation that career planning and management is an ongoing, rewarding process of assessing career identity, setting new learning goals and career visions, and celebrating accomplishments as you develop.","mathematical-optimization; career; proactivity; career-counseling; career-development; philosophy; personality-tests; unix-shells; management; plan","Adapting: Career Development",3.0,"https://www.coursera.org/specializations/adapting-career-development","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[7.1,14.8]","NA","English","business","leadership-and-management","fmQHyqXSEei3zwoGmBo8pg"]
["Leadership and Management","Professional Development","Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential","McMaster University","Beginner",13.8,4.75,"https://www.coursera.org/learn/mindshift","Mindshift is designed to help boost your career and life in today’s fast-paced learning environment. Whatever your age or stage, Mindshift teaches you essentials such as how to get the most out of online learning and MOOCs, how to seek out and work with mentors, the secrets to avoiding career ruts (and catastrophes) and general ruts in life, and insights such as the value of selective ignorance over general competence.  We’ll provide practical insights from science about how to learn and change effectively even in maturity, and we’ll build on what you already know to take your life’s learning in fantastic new directions.  This course is designed to show you how to look at what you’re learning, and your place in what’s unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You’ll see that by using certain mental tools and insights, you can learn and do more—far more—than you might have ever dreamed!\\n\\nThis course can be taken independent of, concurrent with, or subsequent to, its companion course, Learning How to Learn.  (Mindshift is more career focused, and Learning How to Learn is more learning focused.)","lifelong-learning; personal-development; confidence; learning-to-learn; career; meditation; pomodoro-technique; mindfulness; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.9]","Spanish; Vietnamese","English","personal-development","personal-development","XDJWC7ZqEeaa7BLnmaLUtg"]
["Leadership and Management","Professional Development","Professional development: Improve yourself, always","Macquarie University","Beginner",9.7,4.73,"https://www.coursera.org/learn/professional-development-improve-yourself","The world of work is characterised by rapid ongoing change. In this dynamic environment, one of the most critical skills for leaders is their capacity to learn and to adapt; to engage in the continuous development of their skills in managing and leading others. This course will assist you in the ongoing development of your skills and abilities by focusing on the nature of the self-development process. You will reflect on and develop self-awareness of your current leadership style to understand the strengths you need to develop and which challenges you will face as a leader. The course also examines the change process, and explores the processes of self-regulation that underpin personal skill development.","leadership; modeling; process-improvement; professional-development; time-management; mindfulness; self-reflection; learning; self-help; management","Adapting: Career Development",4.0,"https://www.coursera.org/specializations/adapting-career-development","Non Specialization","[4.9,12.1]","NA","English","business","leadership-and-management","dpH3AKXTEeiH3AqX3raR7A"]
["Leadership and Management","Professional Development","Career Decisions: From Insight to Impact","Wesleyan University","Beginner",12.0,4.71,"https://www.coursera.org/learn/career-decisions","I am an adult developmental psychologist by training and a career counselor by trade, currently the Director of the Gordon Career Center at Wesleyan University in Connecticut. In this course, I draw from my decades of experience as well as research from the fields of psychology, organizational behavior, and sociology to help you understand best practices for making career decisions. This content will help you develop the tools you need to make the right choices for you, from deciding an area of study to exploring potential lines of work to pursue—and knowing when to pivot at any time in your career.","relationship-counseling; sociology; career","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13]","NA","English","personal-development","personal-development","xOCqmgFBEeiDdg7ENhx5Dg"]
["Leadership and Management","Professional Development","Foundations of Teaching for Learning: Being a Professional","Commonwealth Education Trust","Intermediate",12.5,4.62,"https://www.coursera.org/learn/professional-teacher","The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed. \\n\\nThis course will emphasise what you can do to act professionally. This includes developing your own philosophy of teaching and making sure that you continue to improve your knowledge and skills. It also considers what it means to be part of a community of professionals, working with others to improve what happens in your school, community and profession.\\n\\nEnhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter.","plan; teacher-quality-assessment; process; learning; professional-development; professional; measure-b; teaching; leadership; fly","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,14.3]","NA","English","social-sciences","education","w8XFGTVyEeWW9BKhJ4xW0Q"]
["Leadership and Management","Professional Development","Converting Challenges into Opportunities","University of California San Diego","Beginner",11.7,4.61,"https://www.coursera.org/learn/converting-challenges-into-opportunities","In a very competitive workplace, demonstrating your ability to turn challenges into opportunities is an important to way stand out to hiring managers and to your existing management/leadership.    In this course, you will learn how to utilize the knowledge and skills needed to leverage left- and right-brain thinking, analyze problems, spur creativity, and implement innovative ideas for your workplace. Using the power of design thinking and Creative Problem Solving models you will work toward data-driven solutions to workplace challenges.  You will engage in an active process of identifying/defining a specific challenge,  generating  a plan to address the challenge, collecting and analyzing data/information in order to sell your solution to your leadership, implementing your data-driven solution, and evaluating success of the solution.\\n\\nCourse Outcomes: \\n1. Understand  Design, out-of-the box, whole brain thinking, Your workplace strengths\\n2. Apply  Qualitative and scientific research method for workplace problems, Setting priorities and analyzing for outcomes\\n3. Apply  Creative problem solving and creative thinking, using creative techniques to overcome challenges and bring about innovation\\n4. Create  Action plan, Learn to implement innovative ideas and present ideas","report-writing; asset-management; competitiveness; organizing-management; systems-thinking; systematics; research-methods; assertiveness; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,12.2]","NA","English","personal-development","personal-development","Rffm1fMBEeaZlBJdntSH8A"]
["Leadership and Management","Professional Development","Creative Thinking: Techniques and Tools for Success","Imperial College London","Beginner",19.0,4.57,"https://www.coursera.org/learn/creative-thinking-techniques-and-tools-for-success","In today’s ever-growing and changing world, being able to think creatively and innovatively are essential skills. It can sometimes be challenging to step back and reflect in an environment which is fast paced or when you are required to assimilate large amounts of information. Making sense of or communicating new ideas in an innovative and engaging way, approaching problems from fresh angles, and producing novel solutions are all traits which are highly sought after by employers.\\n\\nThis course will equip you with a ‘tool-box’, introducing you to a selection of behaviours and techniques that will augment your innate creativity. Some of the tools are suited to use on your own and others work well for a group, enabling you to leverage the power of several minds.  You can pick and choose which of these tools or techniques suit your needs and interests, focusing on some or all of the selected approaches and in the order that fits best for you.\\n\\nThe practical approach of this course enables you to acquire an essential skill-set for generating ideas, with plenty of:\\n- Fun e-tivities and exercises;\\n- Practical lectures and tips;\\n- Video representations of the techniques in action.\\n\\nBy the end of this course you should be able to:\\n- Pick a type of brainstorming you think will be useful to apply to a challenge\\n- Use alphabet brainstorming in tackling a challenge\\n- Use grid brainstorming in tackling a challenge\\n- Use a morphological chart to synthesise a solution to a challenge\\n- Use the TRIZ contradiction matrix to identify recommended inventive principles\\n- Apply SCAMPER to a range of challenges\\n\\nThe greatest innovators aren’t necessarily the people who have the most original idea. Often, they are people- or teams- that have harnessed their creativity to develop a new perspective or more effective way of communicating an idea. You can train your imagination to seize opportunities, break away from routine and habit, and tap into your natural creativity.\\n\\nJoin this course and our community of practitioners in CREATIVITY!","brainstorming; child-development; triz; brain","Non Specialization","Non Specialization","Non Specialization","Organisations are undergoing enormous changes in their structures and processes as they seek to take advantage of innovations in technology, remain competitive in Globalising markets, and deal with the increasing diversity of their staff, customers, and supply chains. The four subjects in this specialisation will examine the personal implications of the changing organisational environment - the need to continuously adapt and learn, to manage your career, to build up resilience against stress, and to take your place as a global citizen.\\n\\nThe aim is to enable you to thrive in working in contemporary organsations. 'Improve yourself Always' addresses the need for you to continuously develop and seeks to improve your capacity to learn and adapt. 'Build Personal Resilience' helps you enhance your resilience in the face of the pressures you will experience in working in contemporary organisations. 'Your Career Your Life' guides you in taking more responsibility for mapping out and engaging in your career. 'Become a Global Citizen' discusses the need to see yourself as a citizen of the increasingly global world of work and provides insight into the strategies to deal with cultural diversity.","[13.6,28.4]","NA","English","personal-development","personal-development","IlcRMkZQEemQpxIzLJmmIg"]
["Leadership and Management","Professional Development","Successful Career Development","University System of Georgia","Beginner",12.4,4.56,"https://www.coursera.org/learn/career-advancement","No matter the professional level, we can all benefit from learning how to succeed in our careers. Whether a well-seasoned professional, a management trainee, or a service level employee, this course will help you enrich your career by honing your professional behavior and networking. \\n\\nThrough industry expert support and resources, this course is designed to prepare you for success in any chosen career. You will develop the habits and attitudes you need to perform effectively in the job market. You will identify a mentor to add value to your career.  You will analyze your relationships and develop a practical approach for engaging your LinkedIn network. You will differentiate between networking and networking with intention. You will also discover the most effective ways to ask for help from your peer or professional group. Finally, you will evaluate the best methods of adjusting your career path at various stages of life.","linkedin; personal-advertisement; career; career-development; planning; professional; mentorship; personal-development; communication; personality-development","Non Specialization","Non Specialization","Non Specialization","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[4.3,17]","NA","English","personal-development","personal-development","Akz7SBbAEeaXaw7Yj6TwHQ"]
["Leadership and Management","Professional Development","Speak English Professionally: In Person, Online & On the Phone","Georgia Institute of Technology","Advanced",15.0,4.55,"https://www.coursera.org/learn/speak-english-professionally","Do you want to speak better English? This course will help you reach that goal. Speak English Professionally: In person, Online and On the Phone will boost your English speaking skills. In this 5 week course, you will learn how to identify and make a strong personal introduction. You will develop and demonstrate the speaking skills for group discussions: how to agree or disagree, how to clarify, restate and summarize. You will review and practice how to give information and respond to requests on the phone. You will study and role play effective interviewing. You will  prepare and give a sales “pitch”, introducing a product or service. Throughout the course, you will adjust how you speak English and you will become more fluent and accurate when you speak. You will demonstrate  culturally appropriate body language and tone. As you work through the course, you will complete self- and peer-evaluations. Through a combination of lectures, comprehension and vocabulary quizzes, practice and performance, you’ll gain the skills and confidence to communicate well  in English, anywhere in the world.\\t\\n\\nBy the end of this course you will:\\n•      Change how you speak English\\n•\\tImprove your pronunciation and fluency  \\n•       Increase your English vocabulary \\n•\\tIdentify how culture influences your speech\\n•\\tUse culture to help you speak correctly \\n•\\tDemonstrate the best body language for different cultural settings\\n•\\tKnow statements, questions and responses for different settings and situations","public-speaking; elevator-pitch; presentation; interview; communication; english-language; stress; speech; professional; language","Improve Your English Communication Skills",2.0,"https://www.coursera.org/specializations/improve-english","Organisations are undergoing enormous changes in their structures and processes as they seek to take advantage of innovations in technology, remain competitive in Globalising markets, and deal with the increasing diversity of their staff, customers, and supply chains. The four subjects in this specialisation will examine the personal implications of the changing organisational environment - the need to continuously adapt and learn, to manage your career, to build up resilience against stress, and to take your place as a global citizen.\\n\\nThe aim is to enable you to thrive in working in contemporary organsations. 'Improve yourself Always' addresses the need for you to continuously develop and seeks to improve your capacity to learn and adapt. 'Build Personal Resilience' helps you enhance your resilience in the face of the pressures you will experience in working in contemporary organisations. 'Your Career Your Life' guides you in taking more responsibility for mapping out and engaging in your career. 'Become a Global Citizen' discusses the need to see yourself as a citizen of the increasingly global world of work and provides insight into the strategies to deal with cultural diversity.","[9.4,18]","Vietnamese; Arabic; Japanese; Persian; French; Spanish","English","language-learning","learning-english","RFyNbG0iEeW9CAqYJHF3zQ"]
["Leadership and Management","Professional Development","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Leadership and Management","Professional Development","Job Success: Get Hired or Promoted in 3 Steps","The State University of New York","Beginner",4.7,4.45,"https://www.coursera.org/learn/get-hired","This course, Job Success: Get Hired or Promoted in Three Steps, will prepare you to stand out in a crowded applicant pool so that you can get hired or promoted. In three steps you will leave this course with \\n\\n1. An upgraded social media presence (one that you can be proud of)\\n2. A visual, infographic resume that will get you noticed\\n3. A professional pitch that highlights your strengths and skills\\n\\nWhen creating this course, we listened to potential employers, took the advice of recruiters, conducted informal research on best practices and we drew from our own experiences as professionals who have sought out and hired quality candidates.","elevator-pitch; professional; professional-development; writing; graphics; infographics; personal-advertisement; unix-shells; social-media; integration-testing","Non Specialization","Non Specialization","Non Specialization","This Specialization helps you improve your professional communication in English for successful business interactions. Each course focuses on a particular area of communication in English: writing emails, speaking at meetings and interviews, giving presentations, and networking online. Whether you want to communicate to potential employers, employees, partners or clients, better English communication can help you achieve your language and professional goals. The Capstone course will focus especially on making those important connections to take your career or business to the next level. Make yourself more competitive by improving your English through this Specialization: Improve Your English Communication Skills.","[2.4,5.9]","Spanish","English","personal-development","personal-development","BNfSeUQ_EeawVwo82dylKw"]
["Leadership and Management","Strategy","Strategic management: Be competitive","Macquarie University","Intermediate",8.6,4.97,"https://www.coursera.org/learn/strategic-management-be-competitive","The ability to think strategically in today’s global, high-tech business environment is critical to ensuring your organisation survives – and grows – into the future. By breaking down business strategy and value creation to its essential elements, you’ll develop your strategic thinking skills. And through structured learning activities including video lectures, quizzes, discussion prompts and written assessments you’ll discover how to improve your organisation’s competitiveness. This course focuses on the key principles behind the latest thinking in value co-creation, strategy and marketing, and teaches you how to apply them. By learning how to continuously plan, monitor, analyse and assess all that is necessary for an organisation to meet its goals and objectives, you will be better prepared to take your organisation forward in a viable strategic direction.","organizational-learning; interpretation; supply-chain; consumer-choice; thought; chaining; supply-chain-management; strategic-management; learning; management","Strategising: Management for Global Competitive Advantage",4.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[5.2,11.4]","NA","English","business","business-strategy","TT_oxZB0EeiQHw5xPJAuLA"]
["Leadership and Management","Strategy","Global Strategy II: Doing Business in The Global Economy","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.92,"https://www.coursera.org/learn/global-strategy-two","This course explores the ways firms overcome challenges when operating globally. The global economy is characterized for its high complexity and uncertainty.  Corporations trying to succeed in the global economy need to develop different types of strategies depending on where they are conducting business or what type business they are in.  Students taking this course will learn how to determine the best strategy to follow when expanding globally, the advantages and disadvantages of those strategies, and the appropriate responses to external pressures. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","salary; global-value-chain; market-share; chaining; global; sustainability; retirement; professional; value-chain; cost","Global Challenges in Business",4.0,"https://www.coursera.org/specializations/global-challenges-business","Non Specialization","[5,16.8]","Arabic","English","business","business-strategy","H99pHHXuEeaWkA5VwsyIdw"]
["Leadership and Management","Strategy","Business Strategies for Emerging Markets","National Research University Higher School of Economics","Advanced",74.5,4.85,"https://www.coursera.org/learn/business-strategies","The course aims to transfer the fundamental knowledge and to form the basic competencies necessary for the development and the implementation of a business strategy in an emerging market.\\n\\nThe students are going to improve their analyzing, decision making, and planning skills as well as the ability to recognize strategic opportunities and threats.\\n\\nThe course requires the knowledge of basic economics concepts as the pre-requisite. It is preferable that the students have some practical entrepreneurial or marketing experience, but this is not obligatory.\\n\\nThe course has a distinct stress to the practice of strategic management. Although a few fundamental theories are mentioned, the bulk of the ideas are based on simple though efficient applied model that are easy to understand and convenient to use. The multitude of examples and stories from the personal consulting and managerial experience of the author are the hallmark of the course. The author’s original drawings make the key concepts well memorable ad cozy to deal with.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","management; modeling; strategy-implementation; sales-strategy; strategic-business-unit; sales; market-economics; strategic-management; emerging-markets; business-strategy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.6,119.4]","NA","English","business","business-strategy","5zyvy5abEeafIQpJGWIzpg"]
["Leadership and Management","Strategy","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Leadership and Management","Strategy","Global Strategy I: How The Global Economy Works","University of Illinois at Urbana-Champaign","Intermediate",16.2,4.82,"https://www.coursera.org/learn/global-strategy","Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were not short of formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not mean political, cultural, and economic convergence and that forces against it are strong.\\n\\nThis course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how we got here and why it matters\\n•\\tUnderstand the complexities of the current globalization (not all countries are the same)\\n•\\tEvaluate the effects of international trade regulations on international business\\n•\\tEvaluate when and why should we operate as multinationals\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","technology-strategy; business-economics; trading; economics; economy; global; reason; international-finance; securities-research; foreign-direct-investment","Global Challenges in Business",3.0,"https://www.coursera.org/specializations/global-challenges-business","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[7.2,23.4]","Arabic","English","business","business-strategy","9LVz3HXtEeaisA57vr8X4Q"]
["Leadership and Management","Strategy","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Leadership and Management","Strategy","Market and Competition in Pricing Strategy","University of Virginia","Advanced",17.8,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-market-competition","If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.","pricing; market-economics; competitiveness; price-war; pricing-strategies; game-theory; market-segmentation; customer; price-discrimination; competition-economics","Pricing Strategy Optimization",3.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10.5,18.8]","NA","English","business","marketing","yqbsd4DiEea0rRKMrzxAVw"]
["Leadership and Management","Strategy","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","Non Specialization","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Leadership and Management","Strategy","Strategic Business Management - Macroeconomics","University of California, Irvine","Intermediate",40.7,4.8,"https://www.coursera.org/learn/strategic-business-management-macroeconomics","This course weds business strategy with the principles of macroeconomics. It offers valuable a powerful toolbox together with cases and lessons across all major functions of business, management, from finance, operations management, and marketing to human resource management, organizational behavior, statistics, and, of course, business strategy.","inflation; monetary-policy; public-administration; fiscal-policy; finance; government-budget-balance; demand; budget; management; trading","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[24.1,61.6]","NA","English","business","business-strategy","fn8bXXezEeeobg7O-NRcDA"]
["Leadership and Management","Strategy","Corporate Strategy","University of London","Intermediate",14.5,4.76,"https://www.coursera.org/learn/corporatestrategy","Corporate strategy is the strategy a firm uses to compete across multiple businesses. Many small firms want to grow by entering new businesses. Many large firms already are in multiple businesses, e.g. a photo camera producer selling also sunglasses. \\n\\nWe developed this course to help you make good corporate strategy decisions. Of the many decisions a firm has to make, corporate strategy decisions are among the most consequential. We will look at these key corporate strategy decisions:\\n- Diversification: How and which businesses should your firm enter?\\n- Divestiture: How and from which businesses should your firm exit?\\n- Corporate HQ: How should we organize corporate headquarters to create value across the different businesses?","strategic-management; marketing-strategy; headquarters; business-strategy; diversification-marketing-strategy; divestment; marketing; analysis; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[7,21.7]","NA","English","business","business-strategy","wHbDKS72EeamIRKe7Ylq9w"]
["Leadership and Management","Strategy","Business Strategy","University of Illinois at Urbana-Champaign","Intermediate",17.3,4.76,"https://www.coursera.org/learn/strategy-business","In this course you will learn how organizations create, capture, and maintain value, and how it is fundamental for sustainable competitive advantage. You will be able to better understand value creation and capture, and learn the tools to analyze both competition and cooperation from a variety of perspectives, including the industry level (e.g., five forces analysis), and the firm level (e.g., business models and strategic positioning). \\n\\n•\\tUnderstand how managers coordinate different functional areas, resources, and systems inside a company and align them with the external environment to enhance overall performance\\n•\\tKnowledge of strategic management tools and frameworks, and apply them to real business contexts Process diverse business and industry information to diagnose strategic issues, evaluate strategic alternatives, and formulate a coherent and actionable strategic plan\\n•\\tHow to think like a CEO, entrepreneur, or general manager.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","strategic-thinking; strategic-analysis; competitive-advantage; modeling; business-model; strategic-management; competitiveness; business-strategy; analysis; management","Strategic Leadership and Management",5.0,"https://www.coursera.org/specializations/strategic-leadership","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[10.8,19.8]","NA","English","business","business-strategy","OJkRmJz-EeW6bw4ogk2HGQ"]
["Leadership and Management","Strategy","Business Growth Strategy","University of Virginia","Beginner",15.4,4.73,"https://www.coursera.org/learn/uva-darden-business-growth-strategy","Get the tools you need to analyze, evaluate and recommend specific actions organizations can take to grow their value and avoid common growth pitfalls. Learn to determine how best to build value, whether by scaling existing markets, entering established markets or creating new markets through innovation and acquisitions.","strategic-planning; resource; internet; business-strategy; growth-strategies; scenario-planning; innovation; business; market-economics; mergers-and-acquisitions","Business Strategy",3.0,"https://www.coursera.org/specializations/business-strategy","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10,17.7]","Arabic; Korean","English","business","business-strategy","w5Chgi8hEeWv_w7cMMH1Uw"]
["Leadership and Management","Strategy","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Leadership and Management","Strategy","Advanced Business Strategy","University of Virginia","Intermediate",12.9,4.72,"https://www.coursera.org/learn/uva-darden-advanced-business-strategy","Advance your strategic analysis skills in this follow-up to Foundations of Business Strategy. In this course, you'll learn the tools to analyze strategy across time (competitive dynamics), industries ( corporate strategy), geographies (international strategy), and institutions (non-market strategy). We'll introduce the tools you need to complete a comprehensive evaluation and understand the strategy dynamics of an industry: Competitive Lifecycle, Internationalization and Stakeholder Analyses, and Diversification Matrices.","management; business-strategy; strategic-planning; strategic-analysis; strategic-thinking; internationalization-and-localization; strategic-management; competitiveness; ordered-pair; analysis","Business Strategy",2.0,"https://www.coursera.org/specializations/business-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[7.8,15.2]","Arabic; Korean","English","business","business-strategy","lU03py8hEeWPngoW78wA_Q"]
["Leadership and Management","Strategy","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Leadership and Management","Strategy","Advanced Competitive Strategy","Ludwig-Maximilians-Universität München (LMU)","Intermediate",16.7,4.64,"https://www.coursera.org/learn/advanced-competitive-strategy","Advanced Competitive Strategy will introduce new topics and modules with even more real world examples and opportunities for student interaction than in the previous course Competitive Strategy (https://www.coursera.org/learn/competitivestrategy).\\n \\nIn Advanced Competitive Strategy, we will look at how companies can build up and maintain their customer base by increasing switching costs and facilitating strategic customer lock-ins. We will find out how firms can increase their profits by pursuing suitable price discrimination and product differentiation strategies.\\n \\nWe will look at examples of what is acceptable behavior under the premises of EU competition and US antitrust policies and discover exciting ways of how companies can increase their returns by strategically making use of network effects and economies of size. We will further intensify our newly acquired knowledge about network effects and discuss strategies that are explicitly tailored to network markets.\\n \\nWe will analyze the workings of mergers and acquisitions and, moreover, support you in considering alternative strategies that can help companies grow organically.","pricing; market-economics; switching-barriers; mergers-and-acquisitions; strategic-management; marketing; pricing-strategies; competitiveness; analysis; management","Competitive Strategy and Organization Design",2.0,"https://www.coursera.org/specializations/competitive-strategy","This Specialization explores the evolving world of business strategy, focusing on the increasingly important roles of design, user experience, and innovation in shaping competitive advantage. You’ll learn about concepts such as goal setting, value creation, global integration, and diversification, and you’ll critique classic theories and frameworks in the context of new business realities. In the final Capstone Project, you’ll create and defend a holistic business strategy in response to a realistic case study prompt.","[8,21]","Portuguese; Spanish; Chinese; Arabic","English","business","business-strategy","H3HGeBK4EeS0RyIACp5OCg"]
["Leadership and Management","Strategy","Strategy Implementation","Copenhagen Business School","Intermediate",16.4,4.61,"https://www.coursera.org/learn/strategy-implementation","Even a thoroughly developed business strategy may fail if you don't pay enough attention to its implementation. This rings particularly true with strategies based on innovation or implemented in complex or fast-changing environments.\\n\\nIn the 20th century successful implementation leveraged stability and typically proceeded through hierarchy and control. Today the key is to stay vibrant and able to quickly respond to trends in competition and technology while not losing sight of the strategic objective. In this course we'll build a toolbox of techniques to execute today's business strategies to help them succeed.\\n\\nAfter completing this course, you'll be able to:\\n- Create objectives and goals to guide strategy implementation\\n- Identify organizational structures that fit particular strategies\\n- Understand how to leverage company culture in implementation\\n- Describe how to communicate the strategy so that the organization \"gets\" it\\n- Detect and mitigate risks to implementation","strategy-implementation; communication; planning; strategic-planning; performance-management; performance; strategic-management; business-strategy; management; integration-testing","Strategic Management and Innovation",3.0,"https://www.coursera.org/specializations/strategic-management","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[9.9,19.5]","Romanian","English","business","business-strategy","iXq6zSWTEeWs4gorU6Q1Yw"]
["Marketing","Best Courses","Brand Management: Aligning Business, Brand and Behaviour","University of London","Intermediate",24.5,4.87,"https://www.coursera.org/learn/brand","Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding - where brands are a visual identity and a promise to customers - to brands as a customer experience delivered by the entire organisation. The course offers a brand workout for your own brands, as well as guest videos from leading branding professionals. \\n\\nThe aim of the course is to change the conception of brands as being an organisation's visual identity (e.g., logo) and image (customers' brand associations) to an experience along \"moments-that-matter\" along the customer journey and, therefore, delivered by people across the entire organisation. Brands are thus not only an external promise to customers, but a means of executing business strategy via internal brand-led behaviour and culture change.\\n\\nYou will learn and practice the following skills:\\n\\n1.\\tHow to build brands from a broad organisational perspective \\n2.\\tHow to lead brand-led culture change with human resource practices at the core (i.e., brand as a lever and not just an outcome) \\n3.\\tHow to build brands in multi-brand companies, across cultures and geographies\\n4.\\tHow to measure brand health in new ways, that is, internally in addition to externally\\n5.\\tHow to value and capture returns to brands across the organisation - introducing the new concept of employee-based brand equity - and how this is different from the valuation of brands as intangible assets. \\n\\nThis course allows you to develop the following aspects of yourself:\\n\\n1.\\tHead. Gain a deeper understanding of the evolving practice of brand management, one that goes further than practiced in most organisations today\\n2.\\tHeart. Be motivated to engage in delivering your own brands – regardless of where you are in your organisation – thereby creating superior value for customers and for your organisation\\n3.\\tHands. Translate learnings into action. As Confucius is supposed to have said: “I hear and I forget. I see and I remember. I do and I understand.”","brand-equity; brand-marketing; brand-identity; marketing; stock; experience; brand-management; customer-experience; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.7,32.3]","NA","English","business","entrepreneurship","-8cOpydnEeaTvRKF2VtmxQ"]
["Marketing","Best Courses","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Marketing","Best Courses","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Marketing","Best Courses","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Marketing","Best Courses","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Marketing","Best Courses","Marketing in an Analog World","University of Illinois at Urbana-Champaign","Intermediate",28.8,4.7,"https://www.coursera.org/learn/marketing-analog","Our new Digital World is dramatically changing the way in products are created, promoted, distributed, and consumed. Although these changes have been revolutionary, we still live in an Analog (or physical) World. For example, even today, over 90% of all sales are still conducted in Analog stores. Thus, both marketers and consumers must simultaneously navigate both the Analog and Digital Worlds on a daily basis. Although the Digital Revolution has received considerable attention in recent years, the impact of this revolution upon the Analog World has been largely ignored. This course examines this issue by asking, \"How has the Digital Revolution impacted Marketing in an Analog World?\\n\\nThis course will begin with an exploration of the key differences between the Analog and the Digital and then examine four ways in which the Analog World has been affected by the Digital Revolution: Domination, Resistance, Synergy, and Transformation. This course will contain several examples of each of these concepts and explore their implications for both marketers and consumers. This course will also employ a variety of learning techniques, including video lectures, case studies, hands-on exercises, and interviews with leading marketing scholars. The learning approach will be highly interactive; you will have the opportunity to engage in a variety of hands-on activities and be a member of a rich learning community. I hope you will join us in this educational adventure.","digital-marketing; marketing-analytics; marketing-mix; learning; marketing-strategy; integration-testing; marketing; digital-strategy; marketing-techniques; market-economics","Digital Marketing",6.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[11.1,46.5]","NA","English","business","marketing","_ozuvuQPEeahIg74m77j2A"]
["Marketing","Best Courses","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Best Courses","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Marketing","Best Courses","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Marketing","Best Courses","Marketing Analytics","University of Virginia","Beginner",23.7,4.5,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","experiment; regression-analysis; analytics; analysis; brand; brand-architecture; marketing; stock; marketing-analytics; brand-equity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,28]","NA","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Marketing","Advertising","Marketing Management II","University of Illinois at Urbana-Champaign","Advanced",13.9,4.79,"https://www.coursera.org/learn/marketing-management-two","In this course, you will further examine how businesses create value for customers. In Marketing Management I, you learned the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and saw how they fit within different analytical frameworks that are useful to managers. In this course, you will complete a more detailed analysis of these elements in order to conduct a thorough strategic analysis of marketing opportunities and communicate marketing decisions. This will enable you to see “marketing in action” in the business world.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tList all elements of the marketing mix\\n•\\tExplain the role each element plays in creating value\\n•\\tCompare different pricing models\\n•\\tEvaluate the use of different channels of distribution by existing businesses\\n•\\tCritique advertising execution\\n•\\tCreate a persuasive advertising piece\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; plan; marketing-plan; marketing; marketing-management; marketing-mix; consumer-behaviour; pricing; market-economics; studentized-residual","Value Chain Management",6.0,"https://www.coursera.org/specializations/value-chain-management","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[8.3,15.5]","NA","English","business","marketing","YSVriEeKEeawVwo82dylKw"]
["Marketing","Advertising","Advertising and Society","Duke University","Intermediate",14.9,4.71,"https://www.coursera.org/learn/role-of-advertising","This course examines the relation of advertising to society, culture, history, and the economy.  Using contemporary theories about visual communications, we learn to analyze the complex levels of meaning in both print advertisements and television commercials.\\n\\nAbout the Course\\n\\nThe course covers a wide range of topics, including the origins of advertising, the creation of ads, the interpretation of ads, the depiction of race, class, gender, and sexuality in advertising, sex and selling, adverting and ethics, and the future of advertising. The lectures will discuss theoretical frameworks and apply them to specific advertisements.\\n\\nCourse Syllabus\\n\\nWeek 1: What is advertising and where did it come from?\\n\\nWeek 2: Am I being manipulated by advertising?\\n\\nWeek 3: What’s in an ad beyond that which meets the eye?\\n\\nWeek 4: How do ads get made?\\n\\nWeek 5: What do ads teach us about race, class, gender, and sexuality?\\n\\nWeek 6: Does sex sell?\\n\\nWeek 7: What is the future of advertising?\\n\\nRecommended Background\\n\\nNo background is required; everyone is welcome!\\n\\nSuggested Readings\\n\\nAlthough the lectures are designed to be self-contained, we recommend that students refer to the free online textbook ADTextOnline.org. Other free resources will be suggested for each week’s module.\\n\\nCourse Format\\n\\nMost videos will be lectures with instructor talking. Each lecture will be illustrated with PowerPoint slides, print advertisements, and TV commercials. The videos for each week will consist of segments that add up to about an hour. Each week will have one quiz that will appear as stand-alone homework. All resources beyond lectures will be available online to students at no charge. Most of these will be from ADTextOnline.org. Others will be visits to the sites of ad agencies in the US and abroad, open access websites that deal with course topics, and open-access journal articles.","target-audience; advertising-strategy; history-of-advertising; propaganda; marketing; history; audience; advertising; integration-testing; advertising-techniques","Non Specialization","Non Specialization","Non Specialization","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[8.3,17.3]","Spanish","English","social-sciences","economics","ifD-vNG7EeW_sQqlOUlMew"]
["Marketing","Advertising","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Advertising","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Marketing","Advertising","International Entertainment and Sports Marketing","Yonsei University","Intermediate",7.0,4.65,"https://www.coursera.org/learn/international-entertainment-sports-marketing","This course will provide learners with a fundamental understanding of the characteristics and marketing strategies related to two key global industries, sports and entertainment. The growth in both industries have been fueled by their ability to innovate via CCCI, i.e. cross-country and cross-industry expansion. There will be a graded quiz that will consists of 10 questions during the first two weeks (together worth 50% of the grade)  and a final quiz that contains 20 questions (worth 50% of the grade) in the third week. \\n\\nPeople who successfully complete this course will obtain the following outcomes:\\n\\n(1) You will learn the key characteristics of sports marketing.\\n(2) You will learn the key characteristics of entertainment marketing.\\n(3) You will be able to apply cross country growth strategies to your business in the sports and entertainment industry. \\n(4) You will be able to apply cross industry growth strategies to your business in the sports and entertainment industry”. \\n(5) You will be able to reference CCCI, i.e. cross-country and cross-industry Innovation best practices via interviews with key experts in the sports and entertainment industry such as from adidas, Audi, and YG Entertainment (home to Psy and Gangnam Style).","global-marketing; international-finance; marketing; global; sports; market-economics; advertising; educational-entertainment; sports-marketing; brand","International Marketing & Cross Industry Growth",5.0,"https://www.coursera.org/specializations/international-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[4.8,8.3]","Chinese; Spanish","English","business","marketing","MgL5IIE6EeWBvwrKtFGfAw"]
["Marketing","Advertising","Digital Footprint","The University of Edinburgh","Beginner",5.8,4.54,"https://www.coursera.org/learn/digital-footprint","If I Googled you, what would I find?\\n\\nAs we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us.  \\n\\nIn this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. We will introduce you to some of the tools and approaches to effectively manage your online presence (or digital footprint).  \\n\\nThe course will focus on the different dimensions of a digital footprint, including developing an effective online presence, managing your privacy, creating opportunities for networking, balancing and managing professional and personal presences (eprofessionalism). By the end of this course (MOOC) you should be equipped to ensure that your digital footprint works for you, whether you want to be more private online, or are looking to create a more effective and impactful presence.  \\n\\nYou can also join the conversation on Twitter using the hashtag #DFMOOC and follow us @DFMOOC\\n\\nWe hope you enjoy the course!","digital-footprint; personal-advertisement; professional; security; social-media; management; footprinting; privacy; e-professional; integration-testing","Non Specialization","Non Specialization","Non Specialization","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[3,7.2]","NA","English","personal-development","personal-development","sPT4Do1cEeWbIxKn7M-nSQ"]
["Marketing","Advertising","From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories","IE Business School","Beginner",12.0,4.51,"https://www.coursera.org/learn/brand-image-high-impact-campaign","There are many different ways to approach clients to assess their needs and develop creative campaigns which fulfill your creative desires. Many agencies have established methodology, terminology and processes, and oftentimes, have spent decades or even years developing these processes. However, whether you are a freelancer, designer, illustrator, photographer or marketing director, or perhaps a small business owner, you will be looking to develop a simple process to create campaigns for yourself or your client. \\n\\nIn this course I am offering you a methodology which you can easily put into practice. Then, as your needs change and grow, you might decide that you want to incorporate other techniques as well.  I hope this course serves as a launchpad for you to go out and win new creative projects as well as make the ones that you are currently working on even better. And most of all, I hope you have FUN! Because remember, if you're not having fun, it's not worth it!","advertising-campaigns; advertising; creativity; brand-identity; digital-branding; brand-marketing; brand; digital-marketing; creative-brief; marketing","Branding: The Creative Journey",3.0,"https://www.coursera.org/specializations/branding-the-creative-journey","Non Specialization","[6.1,16.4]","NA","English","business","marketing","k8OfhUnHEeemlQrrzf9X-A"]
["Marketing","Advertising","Leadership Through Marketing","Northwestern University","Beginner",11.5,4.51,"https://www.coursera.org/learn/leadership-marketing","The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers. In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.","management; critical-thinking; integration-testing; data-analysis; marketing; market-economics; customer; analysis; analytics; leadership","Organizational Leadership",4.0,"https://www.coursera.org/specializations/organizational-leadership","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[7.6,13.8]","NA","English","business","leadership-and-management","VlLC102NEeWEHRLwpfV5DQ"]
["Marketing","Advertising","Search Advertising","University of Colorado Boulder","Beginner",13.2,4.5,"https://www.coursera.org/learn/search-advertising","Consumers search for virtually everything. This includes the things that small businesses do, from restaurants to bespoke products. When consumers search they get organic results along with paid results. Paid search ads are systematically designed to be relevant. As a result, they’re often useful at getting consumers where they want to go. Consumers don’t tune out paid search like other types of digital ads. \\n\\nSearch ads can be a small business opportunity. While larger advertisers pay massive amounts to place their ads via search, we highlight smart ways small businesses can create their own tailored search campaigns on small budgets. \\n\\nThis course shows small businesses how to create and execute search campaigns on Google Ads Search (formally AdWords). Through an introductory overview, students are guided through the official Google Ads Search training materials where they will ultimately earn an official Google Ads Search Certification. Beyond Google materials, practical campaign creation and optimization best practices and exercises are provided by real experts.","advertising; digital-advertising; instagram; pay-per-click; google-adwords; contextual-advertising; marketing; digital-marketing; facebook; media-strategy","Digital Advertising Strategy",2.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[7.6,14.6]","NA","English","business","marketing","5r8gVmqUEemxsBKjdv7F8g"]
["Marketing","Advertising","Native Advertising","University of Colorado Boulder","Beginner",9.0,4.5,"https://www.coursera.org/learn/native-advertising","Native advertising is a niche form of advertising that leverages the design and format of news and entertainment content. Native advertising is less about selling products and more about producing useful content for consumers who are in the ‘consideration’ phase of the advertising purchase funnel. Often in the form of news-like stories, native advertising has been shown to persuade consumers. Native advertising is affordable, and doesn’t require graphic design to get started. For these reasons, it’s a compelling advertising technique for small businesses. This course outlines a case study where a small travel startup used native advertising to drive hotel sales. Execution strategies for a successful, no-creative native campaign are laid out, including: gathering existing news coverage, ethical content seeding, and content generation.","advertising; facebook; digital-advertising; instagram; digital-marketing; native-advertising; purchase-funnel; marketing; media-strategy","Digital Advertising Strategy",4.0,"https://www.coursera.org/specializations/digital-advertising-strategy","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[4.3,10.4]","NA","English","business","marketing","K1eMvWqVEemkEA7qvbzQtA"]
["Marketing","Advertising","Legal Tech & Startups","IE Business School","Intermediate",16.3,4.48,"https://www.coursera.org/learn/legal-tech-startups","LegalTech is the reaction to the disruption that technology is having across all sectors of the economy. Considering that the legal sector is one of the most resistant to change, due to its conservative nature, we can see just how different the future will be. In this course, IE professor Marti Manent will guide you through the essential stages of this disruption in technology, giving you the key tools and ideas to consider when starting your online business. \\n\\nIn the course, Marti explains the key market trends that you will encounter and will provide you with a handy practical toolbox. The course features interviews with industry professionals as well as very motivating and interesting lectures that will help you open your mind and better understand everything in the course. Be part of this disruption that technology is having in the legal sector and join Professor Marti during this exciting new course.","management; legal-advertising; lean-startup; marketing; business-model; electronic-business; law; business-law; advertising; modeling","Non Specialization","Non Specialization","Non Specialization","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[9.1,25]","NA","English","business","entrepreneurship","GPp8-jxTEea1eg6YQeunOw"]
["Marketing","Advertising","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Marketing","Advertising","Introduction to the Digital Advertising Landscape","University of Colorado Boulder","Intermediate",27.9,4.26,"https://www.coursera.org/learn/digital-advertising-landscape","The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.","advertising; google-adwords; digital-marketing; adtech; marketing; digital-advertising; facebook; advertising-campaigns; instagram; social-media","Digital Advertising Strategy",1.0,"https://www.coursera.org/specializations/digital-advertising-strategy","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[9.9,43.6]","NA","English","business","marketing","xgDSp2qTEemAbgqbKzmtFA"]
["Marketing","Advertising Sales","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Advertising Sales","Introduction to the Digital Advertising Landscape","University of Colorado Boulder","Intermediate",27.9,4.26,"https://www.coursera.org/learn/digital-advertising-landscape","The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.","advertising; google-adwords; digital-marketing; adtech; marketing; digital-advertising; facebook; advertising-campaigns; instagram; social-media","Digital Advertising Strategy",1.0,"https://www.coursera.org/specializations/digital-advertising-strategy","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[9.9,43.6]","NA","English","business","marketing","xgDSp2qTEemAbgqbKzmtFA"]
["Marketing","Brand Management","Brand Management: Aligning Business, Brand and Behaviour","University of London","Intermediate",24.5,4.87,"https://www.coursera.org/learn/brand","Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding - where brands are a visual identity and a promise to customers - to brands as a customer experience delivered by the entire organisation. The course offers a brand workout for your own brands, as well as guest videos from leading branding professionals. \\n\\nThe aim of the course is to change the conception of brands as being an organisation's visual identity (e.g., logo) and image (customers' brand associations) to an experience along \"moments-that-matter\" along the customer journey and, therefore, delivered by people across the entire organisation. Brands are thus not only an external promise to customers, but a means of executing business strategy via internal brand-led behaviour and culture change.\\n\\nYou will learn and practice the following skills:\\n\\n1.\\tHow to build brands from a broad organisational perspective \\n2.\\tHow to lead brand-led culture change with human resource practices at the core (i.e., brand as a lever and not just an outcome) \\n3.\\tHow to build brands in multi-brand companies, across cultures and geographies\\n4.\\tHow to measure brand health in new ways, that is, internally in addition to externally\\n5.\\tHow to value and capture returns to brands across the organisation - introducing the new concept of employee-based brand equity - and how this is different from the valuation of brands as intangible assets. \\n\\nThis course allows you to develop the following aspects of yourself:\\n\\n1.\\tHead. Gain a deeper understanding of the evolving practice of brand management, one that goes further than practiced in most organisations today\\n2.\\tHeart. Be motivated to engage in delivering your own brands – regardless of where you are in your organisation – thereby creating superior value for customers and for your organisation\\n3.\\tHands. Translate learnings into action. As Confucius is supposed to have said: “I hear and I forget. I see and I remember. I do and I understand.”","brand-equity; brand-marketing; brand-identity; marketing; stock; experience; brand-management; customer-experience; brand; management","Non Specialization","Non Specialization","Non Specialization","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[15.7,32.3]","NA","English","business","entrepreneurship","-8cOpydnEeaTvRKF2VtmxQ"]
["Marketing","Brand Management","Protecting Business Innovations via Trademark","The Hong Kong University of Science and Technology","Beginner",11.6,4.84,"https://www.coursera.org/learn/protect-business-innovations-trademark","Protecting Business Innovations Via Trademark\\n\\nWatch Course Overview:  https://youtu.be/mUja4iwbrTE\\n\\nIntellectual property rights (IPR) has a great impact on innovation development and society. In Science, Engineering, and Business, we seek to create wealth through innovation in products, designs, manufacturing processes, and business systems or models. However, innovation leaders often FAIL to benefit from their discoveries and inventions when they are unable to adequately protect those innovations. \\n\\nThis course provides learners with an understanding of how trademark laws can be used to protect business innovation using a combination of lectures and case examples for discussion.  The course focus on protecting innovations with Trademark as one of several tools that can be used by companies to protect their brands and products.  In additional to learning about how trademark law works in theory, we will also discuss situations in which trademark might not be effective in protecting innovations, and will focus on the legal issues involved from a practical business perspective rather than from a purely legal viewpoint.  This course is one part of a four course series focusing on protection of business innovations using copyright, patent, trademark and strategy, and these four courses may be taken in any order that is most beneficial to students interested in learning about protecting innovation.","intellectual-property; service-innovation; brand-management; intellectual; intellectual-property-law; trademarks; law; dotproperties; brand; management","Non Specialization","Non Specialization","Non Specialization","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[6.1,12.5]","Chinese","English","business","business-strategy","3BtSOZkvEeeNegqR6J6tDg"]
["Marketing","Brand Management","Food & Beverage Management","Università Bocconi","Beginner",14.0,4.79,"https://www.coursera.org/learn/food-beverage-management","Managing a company in the food and beverage industry is a fascinating task.\\n\\nFood and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.\\n\\nThe objective of this course is twofold: first, we will focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and second, we will provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.\\n\\nThis course is made up of four modules and an introduction, each exploring one dilemma that food and beverage companies face. You will be presented with a set of video lectures and guest speakers. These lectures combine an accessible introduction to specific topics integrated with interviews of managers and experts that will give precious insights and examples to the participants.\\n\\nTo enhance your learning experience with us, we will make a Documentary on the Excellences of the Modena District available for you, which is in a format that we have developed specifically for this course in order to give you the chance to experience first-hand the territory as our on-campus students usually do.\\n\\nEach module is paired with an evaluated quiz and weekly discussion forums to reflect on the variety of the F&B world, its complexity, and the power of the network that we will build together during the course.\\n\\nSuccessful completion of the quizzes is required for a course certificate as explained in the Grading Policy.\\n\\nBelow the guest speakers of the course:\\n\\nMasterchef Italia Sky – Nils Hartmann, Head of Movie Channels at Sky Italia – www.masterchef.sky.it\\nEataly - Paolo Bongiovanni, Marketing Director Italy – www.eataly.net\\nBerlucchi – Paolo Ziliani, Owner – www.berlucchi.it\\nJoia Restaurant – Alta Cucina Naturale – Pietro Leemann, Owner and Chef – www.joia.it\\nBranca – Nicolò Branca, Owner – www.branca.it\\nBarilla – Giuseppe Morici, President Region Europe – www.barilla.com\\nProyecto Expo 2015 Chile – Guillermo Ariztia, Chile Pavillon Director – www.expomilan.cl\\nWinery Il Cavallante, Milano – Sergio Morpurgo, Owner\\nHeineken – Floris Cobelens, Marketing Director – www.heineken.com\\nTRDN – Martin Oetting, Managing Director – www.trnd.com\\nGROM – Federico Grom, Owner and Founder – www.grom.it/en\\nTetra Pak – Matthew Hatton, Director Competitor Intelligence – www.tetrapak.com\\nBioHombre – Matteo Panini, CEO – www.hombre.it\\nAcetaia Maletti – Carmen & Claudio Maletti\\nCantine Riunite & CIV – Vanni Lusetti, CEO; Francesca Benini, Sales & Marketing Manager; Elena Lottici, Export Manager; Mario Vandi, Brand Manager – www.riunite.it\\nGlemGas – Marco Guerzoni, Program Product Manager – www.glemgas.com\\nBibendum Catering – LaFranceschetta58 – Sabrina Lazzereschi & Marta Pulini, Owners and Founders – www.bibendumcatering.it , www.franceschetta58.it\\n\\nDISCLAIMER - Since most of the videos are conducted with those whose native language is not English, we have decided to sometimes preserve their more emphatic speech to keep a tighter match between the audio and the subtitles.","marketing-communications; brand-management; brand; marketing; communication; food-marketing; promotion-and-marketing-communications; market-economics; marketing-strategy; management","Non Specialization","Non Specialization","Non Specialization","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[9.4,16.7]","Italian; Spanish; Chinese","English","business","leadership-and-management","6byT1CWWEeW5pgpJEN0S6w"]
["Marketing","Brand Management","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Marketing","Brand Management","Branding and Customer Experience","IE Business School","Advanced",17.0,4.65,"https://www.coursera.org/learn/branding-and-cx","Whether students come from a Branding or a Customer Experience background or perspective, this course will explore the synergies between and the intersection of the two sets of activities. While there are different approaches to defining a branding strategy, a branding project’s implementation impacts many departments and their customer-facing activities. In this sense, it’s essential to understand branding efforts in the context of Customer Experience. In this course, we will use a framework - adapted from Customer Journey Mapping - for focusing and organizing students' thinking about the operational implications of their branding projects. Through the framework, we will derive an operational language for aligning activities and measuring impacts across multiple departments and the customer touch points they manage.","knowledge-management; customer-experience; customer-experience-management; experience; employment; brand-management; mapping; brand; customer; management","Branding: The Creative Journey",4.0,"https://www.coursera.org/specializations/branding-the-creative-journey","Non Specialization","[10.9,24.4]","NA","English","business","marketing","jqT6nrHfEeiG4w7I1UJuRA"]
["Marketing","Brand Management","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","Non Specialization","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Marketing","Brand Management","Intro to International Marketing","Yonsei University","Beginner",7.9,4.63,"https://www.coursera.org/learn/intro-international-marketing","About this Course\\n\\nThis course brings together two key subjects, International Marketing and Cross Industry Innovation. It will provide the basic foundations of international marketing and then explain how companies can grow by going abroad or sourcing ideas/expanding into other countries or industries. This is summarized as CCCI: Cross-Country and Cross-Industry Innovation, a term and analytical platform used throughout not only this course but others in the specialization. As an introductory course, we keep the concepts short and simple in order to ease learners into the wonderful world of international marketing. More specific operational aspects such as managing the product, price, place and promotion as well as targeting and positioning will be provided in the second course of the specialization. \\n\\nAfter you successfully complete this course learners will obtain the following outcomes:\\n\\n(1) an understanding of the core meaning of marketing and international marketing. \\n(2) learn that international marketing is about striking the right balance between maximizing the similarities across cultures (Etic approach) and customizing marketing (Emic approach) to important local differences.\\n(3) learn about how to source or expand into other industries at home or abroad via cross industry innovation.\\n(4) obtain a solid foundation for subsequent courses such as course 2 (International Marketing Entry and Execution) and the industry-specific courses in the specialization.","brand; global; brand-management; global-marketing; market-economics; marketing-strategy; cobra-administration; international-finance; marketing; management","International Marketing & Cross Industry Growth",1.0,"https://www.coursera.org/specializations/international-marketing","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[3.5,10.2]","Chinese; Portuguese; Spanish","English","business","marketing","7pzdAYE3EeWb1w5ZMj87pw"]
["Marketing","Brand Management","Marketing: Customer Needs and Wants","IESE Business School","Intermediate",13.9,4.33,"https://www.coursera.org/learn/marketing-customers","Understanding who your customers are and what they need and want is at the heart of successful marketing strategies. In this course you will explore how to identify and classify customers and the different methods that marketing professionals use to shed light on how they make purchase decisions.\\n\\nThe course will cover the following:\\n1. Marketing Fundamentals\\n2. Product, Pricing and Channel Decisions \\n3. Building Strong Brands \\n4. Communication Strategy","value-proposition; brand-management; channel-management; product-business; marketing; product-management; proposition; brand; management; product","Foundations of Management",3.0,"https://www.coursera.org/specializations/foundations-management","Non Specialization","[8.1,17.5]","Vietnamese","English","business","business-strategy","i7N8t4khEeW99gozy_2pgw"]
["Marketing","Customer Relationship Management","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Marketing","Customer Relationship Management","Marketing in an Analog World","University of Illinois at Urbana-Champaign","Intermediate",28.8,4.7,"https://www.coursera.org/learn/marketing-analog","Our new Digital World is dramatically changing the way in products are created, promoted, distributed, and consumed. Although these changes have been revolutionary, we still live in an Analog (or physical) World. For example, even today, over 90% of all sales are still conducted in Analog stores. Thus, both marketers and consumers must simultaneously navigate both the Analog and Digital Worlds on a daily basis. Although the Digital Revolution has received considerable attention in recent years, the impact of this revolution upon the Analog World has been largely ignored. This course examines this issue by asking, \"How has the Digital Revolution impacted Marketing in an Analog World?\\n\\nThis course will begin with an exploration of the key differences between the Analog and the Digital and then examine four ways in which the Analog World has been affected by the Digital Revolution: Domination, Resistance, Synergy, and Transformation. This course will contain several examples of each of these concepts and explore their implications for both marketers and consumers. This course will also employ a variety of learning techniques, including video lectures, case studies, hands-on exercises, and interviews with leading marketing scholars. The learning approach will be highly interactive; you will have the opportunity to engage in a variety of hands-on activities and be a member of a rich learning community. I hope you will join us in this educational adventure.","digital-marketing; marketing-analytics; marketing-mix; learning; marketing-strategy; integration-testing; marketing; digital-strategy; marketing-techniques; market-economics","Digital Marketing",6.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[11.1,46.5]","NA","English","business","marketing","_ozuvuQPEeahIg74m77j2A"]
["Marketing","Customer Relationship Management","Relationship Management","Rice University","Beginner",18.5,4.7,"https://www.coursera.org/learn/relationship-management","To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.","leadership-development; engineering-management; meeting; leadership; customer-relationship-management; project-management; sales; management; collaboration; communication","Leadership Development for Engineers",2.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[7.2,31.8]","Vietnamese","English","business","leadership-and-management","sRAtPGhtEeab8hJTez1v6w"]
["Marketing","Customer Relationship Management","Building the Business Model for Corporate Entrepreneurs","University of Maryland, College Park","Beginner",13.6,4.63,"https://www.coursera.org/learn/corporate-entrepreneurs-business-model","Led by Dan Gordon, a University of Maryland faculty member who teaches business modeling in the National Science Foundation's I-Corps Program, this course enables you to develop and apply the Business Model Canvas tool to scope a corporate challenge or opportunity. You will learn how to identify and communicate the nine elements of a business model: Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners, and Cost Structure.\\n\\nYour completed project will be a customer-validated Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity in a corporate context. This project is derived from four areas of focus in the course:\\n\\n• Identifying how to create and deliver value for existing and future customers of the company;\\n• Learning how to extract value for the corporate venture in a sustainable fashion; \\n• Conducting in-depth interviews to guide the customer discovery process for your corporate venture; and\\n• Developing business models that encompass the product or service, customers, and economic engine that deliver on the corporate venture objectives.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-business-model","business-model; corporate-bond; project-portfolio-management; customer; intrapreneurship; enabling; market-segmentation; product-business; modeling; value-proposition","Corporate Entrepreneurship: Innovating within Corporations",2.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[8.5,20]","Romanian","English","business","entrepreneurship","UFSkjArtEeaLXQp-QzuOHQ"]
["Marketing","Customer Relationship Management","Innovating with the Business Model Canvas","University of Virginia","Intermediate",7.1,4.49,"https://www.coursera.org/learn/uva-darden-innovation-business-model-canvas","Have you ever gotten really excited about reading or writing a business plan? You might have started out excited, but I’m going to bet you didn’t stay that way. Let’s be honest- business plans are boring and mostly ignored. \\n\\nThe beauty of the one-page Business Model Canvas is that it drives meaningful focus. It helps us organize our ideas and have better discussions by forcing specificity and bringing linkages between key business drivers to the foreground. Innovation requires one hand being very focused on a fundamental need or problem while the other hand quickly tests different solutions. For this, the Business Model Canvas is very innovation friendly: It's a lot easier to tweak the model and try things with something that's sitting on a single page\\n\\nIn this course, you’ll learn key tools from the worlds of design thinking and Lean Startup to approach the Canvas with thoughtfulness, focus, and above all a test-driven approach to business model innovation.","business-model; customer-experience; strategic-thinking; business-model-canvas; growth-hacking; design-thinking; business-operations; modeling; business-transformation; integration-testing","Non Specialization","Non Specialization","Non Specialization","NA","[4.2,11.1]","NA","English","business","leadership-and-management","QH3jq7RDEeeMiQ4Nm9ulJA"]
["Marketing","Customer Relationship Management","The Arts and Science of Relationships: Understanding Human Needs","University of Toronto","Beginner",78.2,4.36,"https://www.coursera.org/learn/human-needs","This course provides an introduction to:\\n1. Basic concepts of The Strategies and Skills Learning and Development System (SSLD), their relevance for every day relationships and provide advanced concepts for  participants who work in fields of social work and health care .\\n2. Basic practice principles and methods of SSLD, illustrated by relationship management case studies.\\n3. The SSLD framework for relationship management assessment; N3C (needs, circumstances, characteristics, capacity) and problem translation.\\n4. Core competencies in the relationship management application of the SSLD system: Observation learning, simulation, real life implementation, review and monitoring.","empathy; psychologies; building-relationships; analysis; customer-relationship-management; assertiveness; psychology; need; communication; management","Non Specialization","Non Specialization","Non Specialization","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[16.5,146.8]","Spanish","English","personal-development","personal-development","M9h7jndcEeWi0g6YoSAL-w"]
["Marketing","Digital Marketing","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","Non Specialization","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Digital Marketing","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Marketing","Digital Marketing","Innovating in a Digital World","Institut Mines-Télécom","Na",19.0,4.59,"https://www.coursera.org/learn/innovating-digital-world","Facebook, AirBnB, Tesla, Amazon, Uber. In just a few years, companies like these have changed the face of the global economy. Meanwhile, hundreds of thousands of start-ups are disrupting old business models, taking on centennial industrial groups – and winning. It’s clear that the rules of business have changed forever.\\n\\nThis MOOC provides a knowledge toolkit for the ongoing digital revolution. You’ll discover 15 concepts that are essential for understanding the new mechanisms of digital business and innovation. \\n\\nEach concept is explained in its own beautifully designed, content-rich instructional video, along with additional resources for you to explore. The ideas are illustrated with up-to-the-minute case studies and examples from a wide range of industries.\\n\\nWeek 1 : Why Digital Changes Everything\\nWeek 2 : Creating Value in a Digital World \\nWeek 3 : Thinking and Acting Differently\\nWeek 4 : Entrepreneurship in a Digital World\\n\\nThis MOOC is ideal for learners from a wide range of backgrounds. It is brought to you by four expert professors and researchers from Telecom ParisTech, a leading European graduate school in the field of digital technology and social science.\\n\\nThis MOOC is supported by the Patrick and Lina Drahi Foundation.","digital-marketing; innovation; digital-strategy; marketing; modeling; business-model; strategic-management; integration-testing; disruptive-innovation; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","This Specialization will teach you to optimize website content for the best possible search engine ranking. You'll learn the theory behind Google search and other search engine algorithms; you'll also build practical, real-world skills that you can apply to a career in digital marketing or online content development, including on-page and off-page optimization, optimizing for local and international audiences, conducting search-focused website audits, and aligning SEO with overall business strategies. Each course is intended to build on the skills from the previous course, thus we recommend you take the courses in the order they are listed. The Specialization culminates in a hands-on Capstone Project, in which you will apply your skills to a comprehensive SEO consulting task.","[5.4,24.5]","French","English","business","entrepreneurship","8GTGgDxOEeWdUgozVKt3nw"]
["Marketing","Digital Marketing","Introduction to Search Engine Optimization","University of California, Davis","Beginner",9.2,4.57,"https://www.coursera.org/learn/search-engine-optimization","Ever wonder how major search engines such as Google, Bing and Yahoo rank your website within their searches? Or how content such as videos or local listings are shown and ranked based on what the search engine considers most relevant to users? Welcome to the world of Search Engine Optimization (SEO). This course is the first within the SEO Specialization and it is intended to give you a taste of SEO. \\n\\nYou will be introduced to the foundational elements of how search engines work, how the SEO landscape has changed and what you can expect in the future. You discuss core SEO strategies and tactics used to drive more organic search results to a specific website or set of websites, as well as tactics to avoid to prevent penalization from search engines. You will also discover how to position yourself for a successful career in SEO should this subject prove interesting to you. We hope this taste of SEO, will entice you to continue through the Specialization.","algorithms; best-practice; keyword-research; search-algorithm; marketing; search-engine-optimization; google; semantics; mathematical-optimization; history","Search Engine Optimization (SEO)",1.0,"https://www.coursera.org/specializations/seo","Content Strategy uses credible, trustworthy, transparent media to communicate stories and information to enhance an organization’s strategic goals. In this Specialization, you’ll learn best practices from recognized industry and academic experts on how to create and implement engaging content across media platforms that the people you want to reach will really value.\\n\\nYou’ll learn how to engage your audience by implementing their stories and using proven tools and techniques to enhance an audience’s experience and interests. You’ll manage content once created by learning how best to tell an organization’s “content story” across media platforms using a human-centered design. You’ll also learn actionable ways to grow internal and external audiences, and expand your content’s reach.\\n\\nThe Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses in response to a real challenge facing organizations today.\\n\\nTo fit easily into busy schedules, the Specialization is constructed as four, three-week courses to better fit into any lifestyle. It is a program for you, as a professional, to master and then be able to use what you learn here and take it back to work. It's knowledge that will improve both your effectiveness, and your organization's.\\n\\nEach of the individual courses can be audited for free. Please note that you will not receive a Certificate of Completion if you choose to audit.","[5.8,11]","Arabic; Greek","English","business","marketing","XEjjlXEkEeWhZxJhllGpHQ"]
["Marketing","Digital Marketing","Digital Analytics for Marketing Professionals: Marketing Analytics in Theory","University of Illinois at Urbana-Champaign","Beginner",12.9,4.5,"https://www.coursera.org/learn/marketing-analytics","Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing-analytics; data-analysis; moment-of-truth-marketing; analysis; marketing; digital-marketing; analytics; web-analytics; web; management","Digital Marketing",2.0,"https://www.coursera.org/specializations/digital-marketing","This specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.","[8,15]","NA","English","business","marketing","u_Rrw_tfEeSuiSIACwuNww"]
["Marketing","Digital Marketing","Content Strategy for Professionals: Engaging Audiences","Northwestern University","Beginner",6.9,4.49,"https://www.coursera.org/learn/engagement-strategy","In this course, professionals at all levels of an organization will learn the best ways to engage an audience they want and need by smartly implementing their important, strategic stories and information and by using proven tools and techniques to enhance an audience’s experiences and interest.\\n\\nContent Strategy is a conversation that provides thought-leadership. It starts a “conversation” with users and stakeholders inside and outside an organization.  Conversations are the natural way people think about complex issues. Conversations also enable people to develop “stories,” which lead to understanding and helpful mental pictures. Content Strategy practitioners are at all levels of the best enterprises – in all departments and sectors from the top leader to the newcomer in the ranks. \\n\\nIn this complex information age, forward-thinking employees know that if they and their organizations are to thrive, they need to go beyond their job descriptions. They must master the most demanding communications frontier – creating engaging, strategic, honest stories and information that is valued by their most important audiences. In turn that will make their enterprise stand out. \\n\\nRegardless of their area of work, position or expertise, Content Strategy practitioners know how to use words, pictures, video, and social and mobile media to interact with their most important constituents with trustable, actionable information that the audience values and will use. The strategic content they produce enhances the user’s lives and deepens their understanding and engagement with the organization.\\n\\nGuest lecturers in this course include:\\n-- Rachel Davis Mersey, Associate Professor, Medill, Northwestern\\n-- Ed Malthouse, Theodore R. and Annie Laurie Sills Professor of Integrated Marketing Communications, Medill, Northwestern\\n-- Bobby Calder, Charles H. Kellstadt Professor of Marketing & Director of the Center for Cultural Marketing, Kellogg, Northwestern\\n-- Steven Duke, Associate Professor, Medill, Northwestern\\n-- Janice Castro, Assistant Professor Emerita, Medill, Nothwestern","content-strategy; experience; persona-user-experience; content-creation; content-marketing; marketing; audience; user-experience; management; integration-testing","Content Strategy for Professionals",1.0,"https://www.coursera.org/specializations/content-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[4.6,8.5]","NA","English","business","marketing","lDOzNnwOEeSreSIACy-QzA"]
["Marketing","Digital Marketing","Digital Analytics for Marketing Professionals: Marketing Analytics in Practice","University of Illinois at Urbana-Champaign","Advanced",11.2,4.43,"https://www.coursera.org/learn/digital-analytics","This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping you realize the power of visualizing data with artful use of numbers found in the digital space.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; data-analysis; analytics; analysis; visualization-graphic; digital-marketing; marketing-analytics; data-segment; marketing; data-uri-scheme","Digital Marketing",3.0,"https://www.coursera.org/specializations/digital-marketing","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7,13.2]","NA","English","business","marketing","bGZkCuIJEeSqWiIAC0gGHw"]
["Marketing","Digital Marketing","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Marketing","Market Analysis","Firm Level Economics: Markets and Allocations","University of Illinois at Urbana-Champaign","Advanced",19.3,4.83,"https://www.coursera.org/learn/firm-level-economics-markets","In this class, we will derive equilibrium outcomes across a variety of market structures. We will begin by understanding equilibrium under a market structure called Perfect Competition, a benchmark construction. Economists have tools to measure the efficiency of market outcomes. We next consider the polar extreme of a competitive market: a monopoly market. We will determine the monopoly equilibrium price and quantity and efficiency properties. Much economic activity takes place in markets with just a handful of very large producers. To understand equilibrium in these oligopoly markets requires more careful attention to strategic interdependence. To capture this interdependence, we consider collusive arrangements among a small number of rivals as well as the use of simple game theoretic techniques to model equilibrium. Market Failure describes situations where markets fail to find the efficient outcome. Information asymmetries are one fertile form of market failure. Another form of market failure occurs when externalities are present. We will examine one key externality, pollution, and construct a policy prescription to mitigate the negative efficiency impacts of this externality.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tExplain how different market structures result in different resource allocations.\\n•\\tModel the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity after the impact of this external shock has played out.\\n•\\tEvaluate the efficiency of an equilibrium. Different market structures produce different levels of efficiency.  \\n•\\tExplain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets.\\n•\\tDescribe how information problems can cause inefficient outcomes.\\n•\\tUnderstand externalities and consider optimal government response to these market failures.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing-strategy; game-theory; microeconomics; externality; finance; market-analysis; analysis; market-economics; economic-analysis; economics","Managerial Economics and Business Analysis",2.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","Non Specialization","[11.9,22]","NA","English","business","finance","UwQkL5z8EeWJORITtzkPnQ"]
["Marketing","Market Analysis","Food & Beverage Management","Università Bocconi","Beginner",14.0,4.79,"https://www.coursera.org/learn/food-beverage-management","Managing a company in the food and beverage industry is a fascinating task.\\n\\nFood and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.\\n\\nThe objective of this course is twofold: first, we will focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and second, we will provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.\\n\\nThis course is made up of four modules and an introduction, each exploring one dilemma that food and beverage companies face. You will be presented with a set of video lectures and guest speakers. These lectures combine an accessible introduction to specific topics integrated with interviews of managers and experts that will give precious insights and examples to the participants.\\n\\nTo enhance your learning experience with us, we will make a Documentary on the Excellences of the Modena District available for you, which is in a format that we have developed specifically for this course in order to give you the chance to experience first-hand the territory as our on-campus students usually do.\\n\\nEach module is paired with an evaluated quiz and weekly discussion forums to reflect on the variety of the F&B world, its complexity, and the power of the network that we will build together during the course.\\n\\nSuccessful completion of the quizzes is required for a course certificate as explained in the Grading Policy.\\n\\nBelow the guest speakers of the course:\\n\\nMasterchef Italia Sky – Nils Hartmann, Head of Movie Channels at Sky Italia – www.masterchef.sky.it\\nEataly - Paolo Bongiovanni, Marketing Director Italy – www.eataly.net\\nBerlucchi – Paolo Ziliani, Owner – www.berlucchi.it\\nJoia Restaurant – Alta Cucina Naturale – Pietro Leemann, Owner and Chef – www.joia.it\\nBranca – Nicolò Branca, Owner – www.branca.it\\nBarilla – Giuseppe Morici, President Region Europe – www.barilla.com\\nProyecto Expo 2015 Chile – Guillermo Ariztia, Chile Pavillon Director – www.expomilan.cl\\nWinery Il Cavallante, Milano – Sergio Morpurgo, Owner\\nHeineken – Floris Cobelens, Marketing Director – www.heineken.com\\nTRDN – Martin Oetting, Managing Director – www.trnd.com\\nGROM – Federico Grom, Owner and Founder – www.grom.it/en\\nTetra Pak – Matthew Hatton, Director Competitor Intelligence – www.tetrapak.com\\nBioHombre – Matteo Panini, CEO – www.hombre.it\\nAcetaia Maletti – Carmen & Claudio Maletti\\nCantine Riunite & CIV – Vanni Lusetti, CEO; Francesca Benini, Sales & Marketing Manager; Elena Lottici, Export Manager; Mario Vandi, Brand Manager – www.riunite.it\\nGlemGas – Marco Guerzoni, Program Product Manager – www.glemgas.com\\nBibendum Catering – LaFranceschetta58 – Sabrina Lazzereschi & Marta Pulini, Owners and Founders – www.bibendumcatering.it , www.franceschetta58.it\\n\\nDISCLAIMER - Since most of the videos are conducted with those whose native language is not English, we have decided to sometimes preserve their more emphatic speech to keep a tighter match between the audio and the subtitles.","marketing-communications; brand-management; brand; marketing; communication; food-marketing; promotion-and-marketing-communications; market-economics; marketing-strategy; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,16.7]","Italian; Spanish; Chinese","English","business","leadership-and-management","6byT1CWWEeW5pgpJEN0S6w"]
["Marketing","Market Analysis","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Marketing","Market Analysis","Financial Markets","Yale University","Advanced",74.7,4.75,"https://www.coursera.org/learn/financial-markets-global","An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","risk-management; financial-risk; stock; behavioral-finance; investment; market-economics; financial-markets; finance; risk; management","Non Specialization","Non Specialization","Non Specialization","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[27.2,130.1]","Spanish; Korean","English","business","finance","SgcGB0YOEeemlQrrzf9X-A"]
["Marketing","Market Analysis","The Marketing Plan","IE Business School","Intermediate",16.5,4.67,"https://www.coursera.org/learn/marketingplan","Create your own Marketing Plan for your  own product or service idea.  In this course you will learn how to produce arguably the most important marketing tool for any business.  Rather than simply learning the stages of The Marketing Plan, you will be asked each week to complete a peer graded assignment which will help you complete a simplified version of the plan.  You will be required either to map the four crucial stages for your own product or service idea or use the Nissan Leaf case study (attached in the additional readings) in order to produce a professional example.\\n\\nRamon Diaz Bernardo - a professor with over 20 years experience - will guide you through the four most important stages of The Marketing Plan: analysis, marketing strategy; the marketing mix and expected results.  On this journey, he will conduct interviews with leading experts from international companies in marketing as well as invite students to join him for explanations and discussions.\\n\\nThis excellent and unique course allows you not only to learn the essential parts of The Marketing Plan but also map out the future of your own business and take the first steps on the path to launching your own product.","planning; writing; externality; marketing-plan; marketing; internality; marketing-mix; marketing-strategy; plan; analysis","Marketing Strategy",4.0,"https://www.coursera.org/specializations/marketing-strategy","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.4,20.5]","NA","English","business","marketing","mm1Ej3HwEeWxvQr3acyajw"]
["Marketing","Market Analysis","Marketing Analytics","University of Virginia","Beginner",23.7,4.5,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","experiment; regression-analysis; analytics; analysis; brand; brand-architecture; marketing; stock; marketing-analytics; brand-equity","Non Specialization","Non Specialization","Non Specialization","This Specialization explores the evolving world of business strategy, focusing on the increasingly important roles of design, user experience, and innovation in shaping competitive advantage. You’ll learn about concepts such as goal setting, value creation, global integration, and diversification, and you’ll critique classic theories and frameworks in the context of new business realities. In the final Capstone Project, you’ll create and defend a holistic business strategy in response to a realistic case study prompt.","[15.3,28]","NA","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Marketing","Market Analysis","Strategy Formulation","Copenhagen Business School","Beginner",11.7,4.5,"https://www.coursera.org/learn/strategy-formulation","The purpose of this course is to present, analyze and discuss the different facets of business strategy formulation. Emphasizing that strategy can be seen as a unified theme that provides coherence and direction to the actions and decisions of a firm, we will cover a variety of business strategy topics concerned with firm positioning in the context of different markets, industries and locations.\\n\\nAt the end of the course, you will be able to:\\n- Identify why a strong strategy is essential for the future business success\\n- Formulate a business strategy that suits the needs and visions of your organization\\n- Explain why managers too often formulate sub-optimal strategies\\n- Extrapolate measures to optimize current business strategies\\n\\nWorkload: 2-4 hours  per week.","planning; strategic-planning; strategic-management; thought; analysis; strategic-thinking; business-strategy; formulation; integration-testing; management","Strategic Management and Innovation",2.0,"https://www.coursera.org/specializations/strategic-management","Non Specialization","[6.9,13.6]","Romanian","English","business","business-strategy","r0e9gyUAEeWxbhIkPfddLQ"]
["Marketing","Market Analysis","Developing the Opportunity for Corporate Entrepreneurs","University of Maryland, College Park","Beginner",26.7,4.27,"https://www.coursera.org/learn/corporate-entrepreneurs-opportunity","For an increasing number of established companies, creating new businesses and programs within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring established companies to create, develop, and sustain innovative new initiatives. \\n\\nIn this course, learners will develop knowledge on how to navigate the barriers to creating, developing, and sustain innovative new businesses and programs within established companies or organizations with an emphasis on:\\n\\n• Introducing the skills for identifying and analyzing entrepreneurial ideas within a corporate environment;\\n• Examining entrepreneurial thinking within yourself and your colleagues with an awareness of entrepreneurial mindset, entrepreneurial motivations, and entrepreneurial behaviors;\\n• Cultivating seeing entrepreneurially within yourself and your colleagues with attention to industry conditions, industry status, macroeconomic change, and competition; and\\n• Championing acting entrepreneurially within the corporate environment with an understanding of value innovation and opportunity identification.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-opportunity","innovation; opportunity-identification; i-deas; project-portfolio-management; mature-technology; analysis; corporate-bond; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",1.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","Non Specialization","[13.6,41.3]","NA","English","business","entrepreneurship","A8jZQQrtEeaZqQ6zm77UFw"]
["Marketing","Media Production","Mastering Final Cut Pro","LearnQuest","Beginner",26.4,4.78,"https://www.coursera.org/learn/mastering-final-cut-pro","This course unravels the post-production world for editors. Students will dive into the key features of Apple’s Final Cut Pro software for Video and Audio Editing and learn elements for creating professional videos with the use of transitions and effects, titles and motion graphics, color correction, 360 Video and Media Management.\\n\\nThis self-paced course prepares students to pass the Final Cut Pro X certification exam. Learn at your own pace, retake the lessons as needed, and practice alongside the Apple Certified Trainer.\\n\\nWe recommend that you have a basic understanding of macOS, video terminology and while not required, experience with video production and workflow is helpful.\\n\\nThis course was developed by LearnQuest in association with two highly experienced Apple Certified Trainers and editors.","adobe-premiere; video-editing; final-cut-pro; editing; sound; video-production; 360-degree-video","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,34]","NA","English","business","business-essentials","KrFi11oSEemqqRI1NjGL6A"]
["Marketing","Media Strategy & Planning","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Marketing","Media Strategy & Planning","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","Content Strategy uses credible, trustworthy, transparent media to communicate stories and information to enhance an organization’s strategic goals. In this Specialization, you’ll learn best practices from recognized industry and academic experts on how to create and implement engaging content across media platforms that the people you want to reach will really value.\\n\\nYou’ll learn how to engage your audience by implementing their stories and using proven tools and techniques to enhance an audience’s experience and interests. You’ll manage content once created by learning how best to tell an organization’s “content story” across media platforms using a human-centered design. You’ll also learn actionable ways to grow internal and external audiences, and expand your content’s reach.\\n\\nThe Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses in response to a real challenge facing organizations today.\\n\\nTo fit easily into busy schedules, the Specialization is constructed as four, three-week courses to better fit into any lifestyle. It is a program for you, as a professional, to master and then be able to use what you learn here and take it back to work. It's knowledge that will improve both your effectiveness, and your organization's.\\n\\nEach of the individual courses can be audited for free. Please note that you will not receive a Certificate of Completion if you choose to audit.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Marketing","Media Strategy & Planning","Influencer Marketing Strategy","Rutgers the State University of New Jersey","Advanced",25.9,4.41,"https://www.coursera.org/learn/influencer-marketing-strategy","Influencer marketing is the practice of engaging internal and industry experts with active networks to help achieve measurable business goals. \\n\\nThis course is about strategy. Although there is no all-purpose, one-size-fits-all influencer marketing strategy template, you will learn how to tailor one for a wide variety of B2B, B2C, and nonprofit organizations using the two-step flow model of communication.\\n \\nBut this course is also about tactics. I believe, “Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” So, you will learn both in this 6-week long course.\\n\\nYour final project for this course is to create a pitch deck for a social media influencer strategy. The purpose of your final project is to give you a concrete artifact that you can use to demonstrate your mastery of new competencies and skills to either the executives in your current organization or to prospective employers.","brand; marketing-strategy; b2b-marketing; social-media; public-relations; content-marketing; influencer-marketing; marketing; social-media-marketing; marketing-analytics","Non Specialization","Non Specialization","Non Specialization","NA","[17,33.2]","NA","English","business","marketing","Axwi2MCtEeedJRJjt8USWA"]
["Marketing","Media Strategy & Planning","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Marketing","Public Relations","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Marketing","Public Relations","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Public Relations","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Marketing","Public Relations","The Business of Social","Northwestern University","Beginner",5.1,4.67,"https://www.coursera.org/learn/business-of-social","In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - \"The Business of Social\" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.\\n\\nAdditional MOOC 5 faculty include:\\n* Rich Gordon (Professor & Director of Digital Innovation, Medill, Northwestern)\\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Jeff Davidoff (CMO, Donuts.Domains) \\n* Matt Krull (Business Unit Executive, IBM Security) \\n* Frank Mulhern (Associate Dean, Department Chair, and Professor, Integrated Marketing Communications, Northwestern)","social-marketing; a-b-testing; market-economics; media-market; social-media; marketing; budget; social-media-marketing; management; integration-testing","Social Media Marketing",5.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[2.9,6.1]","NA","English","business","marketing","pbw8djXzEeW6RApRXdjJPw"]
["Marketing","Public Relations","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","This Specialization will teach you to optimize website content for the best possible search engine ranking. You'll learn the theory behind Google search and other search engine algorithms; you'll also build practical, real-world skills that you can apply to a career in digital marketing or online content development, including on-page and off-page optimization, optimizing for local and international audiences, conducting search-focused website audits, and aligning SEO with overall business strategies. Each course is intended to build on the skills from the previous course, thus we recommend you take the courses in the order they are listed. The Specialization culminates in a hands-on Capstone Project, in which you will apply your skills to a comprehensive SEO consulting task.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Marketing","Public Relations","What is Social?","Northwestern University","Beginner",8.8,4.59,"https://www.coursera.org/learn/what-is-social","The “What Is Social?\" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, \"how to\" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. \\n\\nWhile the course can be audited for free, paid learners will receive additional content beyond the course basics. For MOOC 1, the toolkit includes a special video from Alessandro Acquisti on Big Data and a set of studies done by IBM on engagement and social marketing strategies with bottom-line profits. \\n\\nThis course has been designed to give you the tools, insights, knowledge, and skills to immediately impact your organization. In addition, we will help you network with thought leaders in social.  After completing this course, you and your organization’s staff will be able to position, engage, and grow relationships with the consumers of highest value to you.\\n\\nToday, we are living in a period of massive disruption. New technologies are changing the way people engage with each other and with the organizations that interest them. This course will start you on the path to growing your own social strategy using effective, proven methodologies.\\n\\nAdditional MOOC 1 faculty include: \\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)","media-market; marketing; social-media-marketing; social-network; market-economics; social-media; audience; social-media-tools; social-marketing; integration-testing","Social Media Marketing",1.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.6,10.6]","Japanese","English","business","marketing","KqKtbzXyEeWW9BKhJ4xW0Q"]
["Marketing","Public Relations","Digital Footprint","The University of Edinburgh","Beginner",5.8,4.54,"https://www.coursera.org/learn/digital-footprint","If I Googled you, what would I find?\\n\\nAs we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us.  \\n\\nIn this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. We will introduce you to some of the tools and approaches to effectively manage your online presence (or digital footprint).  \\n\\nThe course will focus on the different dimensions of a digital footprint, including developing an effective online presence, managing your privacy, creating opportunities for networking, balancing and managing professional and personal presences (eprofessionalism). By the end of this course (MOOC) you should be equipped to ensure that your digital footprint works for you, whether you want to be more private online, or are looking to create a more effective and impactful presence.  \\n\\nYou can also join the conversation on Twitter using the hashtag #DFMOOC and follow us @DFMOOC\\n\\nWe hope you enjoy the course!","digital-footprint; personal-advertisement; professional; security; social-media; management; footprinting; privacy; e-professional; integration-testing","Non Specialization","Non Specialization","Non Specialization","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[3,7.2]","NA","English","personal-development","personal-development","sPT4Do1cEeWbIxKn7M-nSQ"]
["Marketing","Public Relations","Content Strategy for Professionals: Ensuring Your Content's Impact","Northwestern University","Intermediate",5.6,4.47,"https://www.coursera.org/learn/effective-content-strategy","In the fourth course of the Content Strategy Specialization - Ensuring Your Content's Impact - you will look at visual communication and the ways you can be more effective with your font choices, photography, and video. You'll also dive deeper into social communities to help you understand how these communities form and what you can do to build your role within them. The last module is pivotal for Content Strategists. It will help you to understand how best to measure your content to maximize its effectiveness relative to the time you commit to it.\\n\\nWhile this MOOC does share the theoretical elements of Content Strategy, there is a much greater emphasis on its application. Creating trend-worthy headlines and blogs, social media plans, digital measurement templates, video and photography content are all skills you will have in your toolkit by the end of the MOOC, ready to apply at your organization. And speaking of toolkits, we have included one that you can download and take back to work which includes the practical tips from the learnings in this course as well as the previous one on Expanding Your Content's Reach.\\n\\nGuest lecturers in this course include:\\n-- Zach Wise, Associate Professor, Medill Northwestern\\n-- Rich Gordon, Professor & Director of Digital Innovation, Medill, Northwestern\\n-- Randy Hlavac, Lecturer, Medill, Northwestern (and lead professor of the Social Media Marketing Specialization also on Coursera)","content-strategy; marketing-content-development; analytics; learning; social-media-campaigns; marketing; content-marketing; plan; social-media; communication","Content Strategy for Professionals",4.0,"https://www.coursera.org/specializations/content-strategy","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[3.7,6.9]","NA","English","business","marketing","X9H10cqoEeWhwwrjksNQhQ"]
["Marketing","Public Relations","Advanced Content and Social Tactics to Optimize SEO","University of California, Davis","Beginner",9.2,4.45,"https://www.coursera.org/learn/seo-tactics","Discover the content marketing and social media ecosystems and how these interconnected channels drive search results to a website. Leverage content marketing and social media as part of your SEO strategy, and how to use influence marketing to establish a website’s authority.","marketing; search-engine-optimization; content-marketing; marketing-content-development; social-media; mathematical-optimization; influencer-marketing; social-media-marketing; media-market; content-strategy","Search Engine Optimization (SEO)",4.0,"https://www.coursera.org/specializations/seo","Non Specialization","[6,10.7]","NA","English","business","marketing","kvco9XQ4EeWi0g6YoSAL-w"]
["Marketing","Social Media","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["Marketing","Social Media","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Marketing","Social Media","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["Marketing","Social Media","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Marketing","Social Media","The Business of Social","Northwestern University","Beginner",5.1,4.67,"https://www.coursera.org/learn/business-of-social","In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - \"The Business of Social\" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.\\n\\nAdditional MOOC 5 faculty include:\\n* Rich Gordon (Professor & Director of Digital Innovation, Medill, Northwestern)\\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Jeff Davidoff (CMO, Donuts.Domains) \\n* Matt Krull (Business Unit Executive, IBM Security) \\n* Frank Mulhern (Associate Dean, Department Chair, and Professor, Integrated Marketing Communications, Northwestern)","social-marketing; a-b-testing; market-economics; media-market; social-media; marketing; budget; social-media-marketing; management; integration-testing","Social Media Marketing",5.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[2.9,6.1]","NA","English","business","marketing","pbw8djXzEeW6RApRXdjJPw"]
["Marketing","Social Media","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["Marketing","Social Media","What is Social?","Northwestern University","Beginner",8.8,4.59,"https://www.coursera.org/learn/what-is-social","The “What Is Social?\" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, \"how to\" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. \\n\\nWhile the course can be audited for free, paid learners will receive additional content beyond the course basics. For MOOC 1, the toolkit includes a special video from Alessandro Acquisti on Big Data and a set of studies done by IBM on engagement and social marketing strategies with bottom-line profits. \\n\\nThis course has been designed to give you the tools, insights, knowledge, and skills to immediately impact your organization. In addition, we will help you network with thought leaders in social.  After completing this course, you and your organization’s staff will be able to position, engage, and grow relationships with the consumers of highest value to you.\\n\\nToday, we are living in a period of massive disruption. New technologies are changing the way people engage with each other and with the organizations that interest them. This course will start you on the path to growing your own social strategy using effective, proven methodologies.\\n\\nAdditional MOOC 1 faculty include: \\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)","media-market; marketing; social-media-marketing; social-network; market-economics; social-media; audience; social-media-tools; social-marketing; integration-testing","Social Media Marketing",1.0,"https://www.coursera.org/specializations/social-media-marketing","In this specialization you will learn how to:\\n\\n• Find, extract, organize and describe data to support business decisions\\n\\n• Identify, quantify and interpret relationships between variables\\n\\n• Derive customer insights from your data\\n\\n• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions\\n\\n• Present and justify a course of action to management\\n\\nThe capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.","[5.6,10.6]","Japanese","English","business","marketing","KqKtbzXyEeWW9BKhJ4xW0Q"]
["Marketing","Social Media","Marketing Mix Fundamentals","IE Business School","Intermediate",11.3,4.5,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","marketing; pricing-strategies; marketing-mix; product-business; product-strategy; communication; marketing-communications; market-economics; pricing; product","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Non Specialization","[6.3,14.8]","NA","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["Marketing","Social Media","Introduction to Social Media Analytics","Emory University","Advanced",10.7,4.49,"https://www.coursera.org/learn/social-media-analytics-introduction","Social media not only provides marketers with a means of communicating with their customers, but also a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this session exposes learners to the analytic methods that can be used to convert social media data to marketing insights. In Introduction to Social Media Analytics, learners will be exposed to both the benefits and limitations of relying on social media data compared to traditional methods of marketing research. Partnering with a leading social media listening platform, this course provides learners with the foundational skills of social media listening including the creation of monitors and common social media metrics. Moving beyond social media listening, this course shows learners how social media data can be used to provide insights into market structure and consumers’ perceptions of the brand.  Learners will have the opportunity to assess data and discern how to \"listen\" to the data by watching video lectures and completing activities, practice quizzes, discussion boards, and peer assessments.","social-media; marketing; marketing-analytics; consumer-insights; media-monitoring; social-media-analytics; social-media-marketing; voice-of-the-customer; social-media-measurement; market-research","Foundations of Marketing Analytics",5.0,"https://www.coursera.org/specializations/marketing-analytics","Non Specialization","[7.4,12.7]","NA","English","business","marketing","T1m-uDWGEeaMGQ62fT8BeQ"]
["Marketing","Strategy","Business Strategies for Emerging Markets","National Research University Higher School of Economics","Advanced",74.5,4.85,"https://www.coursera.org/learn/business-strategies","The course aims to transfer the fundamental knowledge and to form the basic competencies necessary for the development and the implementation of a business strategy in an emerging market.\\n\\nThe students are going to improve their analyzing, decision making, and planning skills as well as the ability to recognize strategic opportunities and threats.\\n\\nThe course requires the knowledge of basic economics concepts as the pre-requisite. It is preferable that the students have some practical entrepreneurial or marketing experience, but this is not obligatory.\\n\\nThe course has a distinct stress to the practice of strategic management. Although a few fundamental theories are mentioned, the bulk of the ideas are based on simple though efficient applied model that are easy to understand and convenient to use. The multitude of examples and stories from the personal consulting and managerial experience of the author are the hallmark of the course. The author’s original drawings make the key concepts well memorable ad cozy to deal with.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","management; modeling; strategy-implementation; sales-strategy; strategic-business-unit; sales; market-economics; strategic-management; emerging-markets; business-strategy","Non Specialization","Non Specialization","Non Specialization","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[18.6,119.4]","NA","English","business","business-strategy","5zyvy5abEeafIQpJGWIzpg"]
["Marketing","Strategy","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Marketing","Strategy","Market and Competition in Pricing Strategy","University of Virginia","Advanced",17.8,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-market-competition","If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.","pricing; market-economics; competitiveness; price-war; pricing-strategies; game-theory; market-segmentation; customer; price-discrimination; competition-economics","Pricing Strategy Optimization",3.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10.5,18.8]","NA","English","business","marketing","yqbsd4DiEea0rRKMrzxAVw"]
["Marketing","Strategy","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Marketing","Strategy","Business Strategy","University of Illinois at Urbana-Champaign","Intermediate",17.3,4.76,"https://www.coursera.org/learn/strategy-business","In this course you will learn how organizations create, capture, and maintain value, and how it is fundamental for sustainable competitive advantage. You will be able to better understand value creation and capture, and learn the tools to analyze both competition and cooperation from a variety of perspectives, including the industry level (e.g., five forces analysis), and the firm level (e.g., business models and strategic positioning). \\n\\n•\\tUnderstand how managers coordinate different functional areas, resources, and systems inside a company and align them with the external environment to enhance overall performance\\n•\\tKnowledge of strategic management tools and frameworks, and apply them to real business contexts Process diverse business and industry information to diagnose strategic issues, evaluate strategic alternatives, and formulate a coherent and actionable strategic plan\\n•\\tHow to think like a CEO, entrepreneur, or general manager.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","strategic-thinking; strategic-analysis; competitive-advantage; modeling; business-model; strategic-management; competitiveness; business-strategy; analysis; management","Strategic Leadership and Management",5.0,"https://www.coursera.org/specializations/strategic-leadership","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10.8,19.8]","NA","English","business","business-strategy","OJkRmJz-EeW6bw4ogk2HGQ"]
["Marketing","Strategy","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Marketing","Strategy","Advanced Competitive Strategy","Ludwig-Maximilians-Universität München (LMU)","Intermediate",16.7,4.64,"https://www.coursera.org/learn/advanced-competitive-strategy","Advanced Competitive Strategy will introduce new topics and modules with even more real world examples and opportunities for student interaction than in the previous course Competitive Strategy (https://www.coursera.org/learn/competitivestrategy).\\n \\nIn Advanced Competitive Strategy, we will look at how companies can build up and maintain their customer base by increasing switching costs and facilitating strategic customer lock-ins. We will find out how firms can increase their profits by pursuing suitable price discrimination and product differentiation strategies.\\n \\nWe will look at examples of what is acceptable behavior under the premises of EU competition and US antitrust policies and discover exciting ways of how companies can increase their returns by strategically making use of network effects and economies of size. We will further intensify our newly acquired knowledge about network effects and discuss strategies that are explicitly tailored to network markets.\\n \\nWe will analyze the workings of mergers and acquisitions and, moreover, support you in considering alternative strategies that can help companies grow organically.","pricing; market-economics; switching-barriers; mergers-and-acquisitions; strategic-management; marketing; pricing-strategies; competitiveness; analysis; management","Competitive Strategy and Organization Design",2.0,"https://www.coursera.org/specializations/competitive-strategy","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8,21]","Portuguese; Spanish; Chinese; Arabic","English","business","business-strategy","H3HGeBK4EeS0RyIACp5OCg"]
["Research and Design","Best Courses","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.4,4.74,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience-design; user-experience; java-annotation; map; experience; user-interface; site-map; website-wireframe; websites; experience-design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[14.4,27]","NA","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["Research and Design","Best Courses","Research kitchen","Ludwig-Maximilians-Universität München (LMU)","Intermediate",10.4,4.67,"https://www.coursera.org/learn/research-kitchen","The research kitchen is a unique format that we have developed extra for you: curious learners interested in competitive strategy and organization design yearning for a first glimpse into the world of research. It is voluntary and \"just for fun\" - so please, go on and have a look! \\n\\nDifferent to other courses of our specialization Competitive Strategy and Organization Design it is comprised of brief paper sessions rather than modules. For a change, you will experience the instructor Tobias Kretschmer at the whiteboard of his very own institute at LMU Munich. Here he will summarize key findings of recent research papers on topics relating to the three courses Competitive Strategy, Advanced Competitive Strategy and Strategic Organization Design. Topics that researchers today are working on to enhance the knowledge of tomorrow. We hope you enjoy this innovative format and possibly even find some inspiration and motivation for your own future research.","presentation; business-research; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.7,14.5]","NA","English","business","business-strategy","DHMCDqzpEeaPvQ5eOPtN_A"]
["Research and Design","Best Courses","Innovation Through Design: Think, Make, Break, Repeat","The University of Sydney","Intermediate",10.3,4.67,"https://www.coursera.org/learn/innovation-through-design","The evolution of design has seen it become a discipline no longer limited to the concerns of a singular, specific domain and develop to become a pathway for solving complex, nonlinear problems. Design is becoming a capability-enhancing skill, equipping people with the ability to deal with uncertainty, complexity and failure. \\n\\nIn this course, we demonstrate how you can use design as a way of thinking to provide strategic and innovative advantage within your profession. Suitable for anyone who is curious about design and translating the processes and tools of design thinking into innovative opportunities, over 5 weeks we explore, apply and practice the design process: think, make, break and repeat.\\n\\nThrough introducing theoretical concepts and examining industry case studies with leading Australian design firms, we investigate design as learning about the context (the thinking part), building prototypes as tangible representations (the making part) and testing potential solutions (the breaking part). We build on this by showing the productive value of moving through the process quickly and often (the repeating part), to improve ideas and develop new insights. \\n\\nThroughout the course, you will follow us through three of Australia’s most exciting design offices and learn from practicing designers and leaders in design. This insight into industry will enable you to develop a comprehensive understanding of design and the role it can and does play within the innovation landscape. You will leave this course with a set of practical tools and techniques to apply to situations within your own professional context, to translate problems into opportunities and solutions, and ultimately to innovate through design.","design-thinking; evaluation; instructional-design; innovation; process; innovation-management; communication; principle; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13.3]","NA","English","business","entrepreneurship","whpzQq-kEeeI4Q6L0-Nv9g"]
["Research and Design","Best Courses","Human-Centered Design: an Introduction","University of California San Diego","Beginner",15.8,4.63,"https://www.coursera.org/learn/human-computer-interaction","In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. \\n\\nThis is the first course offered in the interaction design specialization series. Browse through previous capstone projects for some inspiration here: https://medium.com/capstone-projects/capstone-projects-2019-abc67d3f6f26","evaluation; heuristic; rapid-prototyping; interaction; heuristic-evaluation; user-experience; human-computer-interaction; paper-prototyping; interview; storyboarding","Interaction Design",1.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[10.8,18.8]","Portuguese; Russian; Korean; Chinese; Spanish","English","computer-science","design-and-product","DDBg7AlXEeWTSSIAC0MDtg"]
["Research and Design","Best Courses","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.7,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience; graphic-design; experience; graphics; java-annotation; interfaces; basic-element; design-pattern; user-interface; user-interface-design","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.5,18]","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Research and Design","Best Courses","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Research and Design","Best Courses","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Research and Design","Best Courses","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Research and Design","Best Courses","Information Design","University of California San Diego","Intermediate",8.4,4.44,"https://www.coursera.org/learn/infodesign","A blank canvas is full of possibility. If you have an idea for a user experience, how do you turn it into a beautiful and effective user interface?  This covers covers principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn concrete strategies to create user interfaces, including key lessons in typography, information architecture, layout, color, and more. You’ll learn particular issues that arise in new device contexts, such as mobile and responsive interfaces. You will learn how to apply these design principles in a modern context of increasingly diverse form factors - from tablets, to walls, to watches.","web; interfaces; java-annotation; website-wireframe; user-interface-techniques; user-interface; information-design; websites; web-design; responsive-web-design","Interaction Design",6.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[5.7,9.9]","Spanish; Portuguese; Russian; Chinese","English","computer-science","design-and-product","afay6xVFEeWfzgpfp_iBVw"]
["Research and Design","Best Courses","Research Proposal: Initiating Research","University of California, Davis","Beginner",11.4,4.43,"https://www.coursera.org/learn/research-proposal-initiating-research","Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.\\n\\nIn this course, you will be able to define market research and identify some tools used in the industry. You will be able to discuss the importance of secondary and internal research in terms of the planning process. You will be able to define what primary research is and identify the various ways to conduct primary research. You will be able to focus on an actual research plan or proposal for your peer review project. You will be able to compose a response to a request for a proposal or research plan and be able to address the various components of the proposal and package it in a professional manner.","marketing-research; marketing-research-mix; marketing; market-economics; request-for-proposal; proposal-writing; primary-research; internality; writing; market-research","Market Research",1.0,"https://www.coursera.org/specializations/market-research","Finding the Story in the Data” is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data.\\n\\nStudents will learn how to initiate a research project for targeted business needs, conduct research through multiple modes and datasets, analyze research data, manage suppliers performing specialized research, and deliver recommendations from the research. By the end of the specialization, learners will create and scope a research proposal, conduct desk research, design and test a focus group guide, interpret focus group results, design and implement a survey in Qualtrics, analyze quantitative data, develop insights by synthesizing findings across research methods, create data visualizations in Excel, and develop a presentation of findings with recommendations to stakeholders.\t[6.7,13.6]\tArabic\tEnglish\tbusiness\tmarketing\tvq2XwnQ-EeWLqw7zlLhRzQ"]
["Research and Design","Business Design","Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)","University System of Georgia","Beginner",12.2,4.51,"https://www.coursera.org/learn/business-model-canvas","What you’ll achieve:\\nIn this project-centered course*, you will use the Business Model Canvas innovation tool to approach either a personal or corporate challenge or opportunity. You’ll learn to identify and communicate the nine key elements of a business model: Customer Segments, Value Proposition, Channels, Customer Relationships, Key Resources, Key Activities, Key Partners, Revenue Streams, and Cost Structure.\\n\\nYour completed project will be a polished Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity. You’ll present your case in both a one-page document and a 10-minute video presentation.\\n\\nWhat you need to get started:\\nThis project-centered course is designed for anyone who wants to understand innovation best practices and the intra-corporate entrepreneurial (intrapreneur) skills needed to lead innovation projects, teams, and strategies. Entry- and senior-level professionals in a variety of industries - including education, healthcare, business, and not-for-profit - will benefit from the course materials and project experience. The only prerequisite is a strong desire to understand best practices in innovation and to master the skills needed to transform a new idea into a profitable reality.\\n\\nTo complete the project, you’ll need to access the Business Model Canvas from either the Kauffman Foundation (http://www.entrepreneurship.org) or Strategyzer.com (http://www.Strategyzer.com), or via the Creative Commons license offered by Strategyzer AG (http://www.businessmodelgeneration.com/downloads/business_model_canvas_poster.pdf).\\n\\n*About Project-Centered Courses: Coursera's project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","modeling; business-model; business-plan; business-model-canvas; project; proposition; value-proposition; plan; business-modeling; integration-testing","Non Specialization","Non Specialization","Non Specialization","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.9,12.6]","Spanish; Arabic; Vietnamese; Portuguese; Swedish","English","business","business-strategy","VTyPXbMXEeW-cQqGkhsQ8w"]
["Research and Design","Business Research","Research kitchen","Ludwig-Maximilians-Universität München (LMU)","Intermediate",10.4,4.67,"https://www.coursera.org/learn/research-kitchen","The research kitchen is a unique format that we have developed extra for you: curious learners interested in competitive strategy and organization design yearning for a first glimpse into the world of research. It is voluntary and \"just for fun\" - so please, go on and have a look! \\n\\nDifferent to other courses of our specialization Competitive Strategy and Organization Design it is comprised of brief paper sessions rather than modules. For a change, you will experience the instructor Tobias Kretschmer at the whiteboard of his very own institute at LMU Munich. Here he will summarize key findings of recent research papers on topics relating to the three courses Competitive Strategy, Advanced Competitive Strategy and Strategic Organization Design. Topics that researchers today are working on to enhance the knowledge of tomorrow. We hope you enjoy this innovative format and possibly even find some inspiration and motivation for your own future research.","presentation; business-research; management","Non Specialization","Non Specialization","Non Specialization","NA","[2.7,14.5]","NA","English","business","business-strategy","DHMCDqzpEeaPvQ5eOPtN_A"]
["Research and Design","Innovation","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","SOLVING COMPLEX PROBLEMS will teach you revolutionary new problem-solving skills. Involving lectures from over 50 experts from all faculties at Macquarie University, we look at solving complex problems in a way that has never been done before.\\n\\nThis specialization uses the framework of Big History which synthesizes knowledge across the sciences and the humanities, and provides a powerful foundation to think and research in new ways. Big History has been embraced as an important global framework by the World Economic Forum (WEF). Presentations at WEF by Professor David Christian, one of the creators of this specialization, have included ‘Interdisciplinary Approaches to Solving 21st Century Challenges’ (Davos 2012), ‘Big History for Big Picture Thinking’ (Davos 2014), and ‘Big History, Big Decisions’ (Tianjin 2014). In 2015, the WEF Annual Meeting in Davos had four sessions devoted to Big History including three interdisciplinary ‘Big History, Big Future’ panels on cooperation, innovation, and global growth and stability. These interdisciplinary discussion panels were the inspiration for this Solving Complex Problems Specialization.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Research and Design","Innovation","Becoming a changemaker: Introduction to Social Innovation","University of Cape Town","Beginner",19.7,4.8,"https://www.coursera.org/learn/social-innovation","This free 6 week course is for anyone who wants to make a difference. Whether you are already familiar with the field of social innovation or social entrepreneurship, working for an organization that wants to increase its social impact, or just starting out, this course will take you on a journey of exploring the complex problems that surround us and how to start thinking about solutions. \\n \\nWe will debunk common assumptions around what resources are needed to begin acting as a social innovator. We will learn from the numerous examples of social innovations happening all over the world. You will be challenged to get out of your comfort zone and start engaging with the diverse spaces around you. By the end of the course, you will have formed your own approach to social innovation, and you will have begun to develop the concepts, mindset, skills, and relationships that will enable you to start and evolve as a changemaker.\\n\\nYou will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee.\\n\\nThe Bertha Centre for Social Innovation and Entrepreneurship co-created this course with RLabs, a social movement ‘born-and-bred’ in Bridgetown, Cape Town that is now active in 22 countries. The movement empowers youth through innovative and disruptive technology by teaching them vital skills and providing much needed support and a sense of community.  Advocating and supporting initiatives such as RLabs forms part of the Bertha Centre’s mandate. The Centre is a specialised unit at University of Cape Town’s Graduate School of Business, and is the first academic centre in Africa dedicated to advancing social innovation and entrepreneurship.\\n\\nYou can view the course trailer at www.youtube.com/watch?v=TcWYG64WO20\\nTweet about this course using the hashtag #socinnMOOC","resource; innovation; sustainability; systems-thinking; thought; design-thinking; social-entrepreneurship; management; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[13.6,22.4]","NA","English","business","entrepreneurship","XczDJRhBEeaUCRJWL-pjpQ"]
["Research and Design","Innovation","Financing and Profiting from Innovation for Corporate Entrepreneurs","University of Maryland, College Park","Intermediate",14.3,4.76,"https://www.coursera.org/learn/corporate-entrepreneurs-financing","This course is for aspiring or active corporate entrepreneurs who wants to understand how to secure and manage funding for their corporate venture. We will demystify key accounting and financing concepts to give corporate entrepreneurs a guide to developing the business case for their ideas, and securing funding to translate ideas into reality. \\n\\nThis course focuses on four key areas:\\n\\n• Learning the fundamentals and how to create financial statements for new ventures within the corporate environment;\\n• Examining valuation techniques for understanding how to assess and grow the value of the corporate venture;\\n• Exploring the different sources of internal and external financing for the corporate venture; and\\n• Applying lessons learned in the course to structure a funding deal and pitch the corporate venture.\\n\\nTry this course for FREE at https://www.coursera.org/learn/corporate-entrepreneurs-financing","pricing; investment; project; sources; finance; project-portfolio-management; innovation; corporate-bond; financial-statement; entrepreneurship","Corporate Entrepreneurship: Innovating within Corporations",4.0,"https://www.coursera.org/specializations/corporate-entrepreneurship","Non Specialization","[5.6,20.2]","NA","English","business","entrepreneurship","baZUuQruEeafmAoLZ2pYtw"]
["Research and Design","Innovation","Strategic Management of Innovation","HEC Paris","Advanced",26.5,4.74,"https://www.coursera.org/learn/strategic-management-of-innovation","This course will prepare you for making strategic decisions specifically about innovation. It will give you an understanding of why firms innovate, why and how they compete on innovation, and what role innovation plays in shaping the strategic decisions of companies. You will learn how to source innovation, the types and patterns of innovation, how to compete in dynamic standards battles and how to gain dominance, how to protect innovation from imitation, and the crucial  question of  timing - a new product launch and market entry.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program.","strategic-management; innovation; design-thinking; intellectual-property; externality; intellectual; learning; innovation-management; dotproperties; management","Managing Innovation and Design Thinking",2.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Non Specialization","[14.3,27.6]","French","English","business","business-strategy","dtgcJC_lEee0Rg7CP08obA"]
["Research and Design","Innovation","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Research and Design","Innovation","Creativity Toolkit II: Creative Collaboration","University of Illinois at Urbana-Champaign","Intermediate",12.4,4.73,"https://www.coursera.org/learn/creativity-toolkit-2","Creativity requires us to collaborate with others. This course is designed to make you a better creative collaborator. Creativity can require us to bring together knowledge from different areas, often known by different people. We need to foster effective collaboration rather than have those differences lead to misunderstandings and conflict. The ideas that we generate, individually or collectively, will be evaluated by others, such as bosses, funders, and customers. These audiences will likely have different concerns when they hear about your ideas and are likely to evaluate ideas differently than you do. We need to pitch our ideas in ways that get others excited about them, rather than bored or confused, so that we can expand the group of collaborators in our creative efforts.","i-deas; collaboration; evaluation; process; innovation; creativity; disruptive-innovation; entrepreneurship; integration-testing; team-building","Innovation: From Creativity to Entrepreneurship",4.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.7,18.5]","Arabic","English","business","entrepreneurship","vsWg0O14EeaYjA7dKZw2fg"]
["Research and Design","Innovation","Boosting Creativity for Innovation","HEC Paris","Advanced",29.5,4.73,"https://www.coursera.org/learn/boosting-creativity-innovation","Successful contemporary business relies on the ability of all its employees to be creative. Creativity can be developed and refined, albeit with effort and practice. The first goal of this course is to provide a variety of experiences and activities with the aim of developing the creative abilities of each participant. A second goal is to understand the importance of creativity from a consumer perspective. Consumers are being offered more and more opportunities to customize their products and services, and are increasingly seeking to express their creativity through their purchasing choices. As entrepreneurs, we have the ability to shape the consumer environment in ways that help consumers enhance their own creative abilities, and develop a unique relationship with them as a result.\\n\\nThis course is aimed at anyone who wants to understand what we actually know (as opposed to what we think we know) about human creativity, and how to use this knowledge to think differently and productively about business challenges. As the focus is on creativity as a cognitive function, it does not matter what your background is, what industry you come from or want to enter.   \\n\\nAfter completing this course, past students report having acquired a set of strategies that enable them to tackle business problems with a fresh perspective.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program","design-thinking; boosting-machine-learning; functional-fixedness; innovation; creativity; product-development; out-of-the-box-feature; product-business; integration-testing; product","Managing Innovation and Design Thinking",1.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[13.4,47.7]","French","English","business","entrepreneurship","W5mm5_tfEeaVgA4fbAXgRA"]
["Research and Design","Innovation","Creativity Toolkit I: Changing Perspectives","University of Illinois at Urbana-Champaign","Intermediate",15.4,4.7,"https://www.coursera.org/learn/creativity-toolkit-1","Thinking and doing the same things faster and better is not enough; we need creativity. Fortunately, creativity is a skill you can learn. This course will examine when, why, and how we can be creative. It examines the cues that trigger us to consider being creative. It provides a road map of the creative process – the process of changing our perspectives – and the kinds of outcomes that result from creativity. It examines how we can go through the creative process more efficiently and more effectively by examining what is changing about our thinking and how we can make those changes. The end result is more flexible thinking that can be used to recognize and develop new opportunities.","creativity; strategic-planning; process; mind-map; uncertainty; learning; innovation; creative-writing; entrepreneurship; integration-testing","Innovation: From Creativity to Entrepreneurship",3.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea.\\n\\nPart One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything.\\n\\nPart Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One.\\n\\nPart Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.","[6.4,25.2]","Arabic","English","business","entrepreneurship","gjwSt8CPEea6Aw7w3S-LDA"]
["Research and Design","Innovation","Innovation Through Design: Think, Make, Break, Repeat","The University of Sydney","Intermediate",10.3,4.67,"https://www.coursera.org/learn/innovation-through-design","The evolution of design has seen it become a discipline no longer limited to the concerns of a singular, specific domain and develop to become a pathway for solving complex, nonlinear problems. Design is becoming a capability-enhancing skill, equipping people with the ability to deal with uncertainty, complexity and failure. \\n\\nIn this course, we demonstrate how you can use design as a way of thinking to provide strategic and innovative advantage within your profession. Suitable for anyone who is curious about design and translating the processes and tools of design thinking into innovative opportunities, over 5 weeks we explore, apply and practice the design process: think, make, break and repeat.\\n\\nThrough introducing theoretical concepts and examining industry case studies with leading Australian design firms, we investigate design as learning about the context (the thinking part), building prototypes as tangible representations (the making part) and testing potential solutions (the breaking part). We build on this by showing the productive value of moving through the process quickly and often (the repeating part), to improve ideas and develop new insights. \\n\\nThroughout the course, you will follow us through three of Australia’s most exciting design offices and learn from practicing designers and leaders in design. This insight into industry will enable you to develop a comprehensive understanding of design and the role it can and does play within the innovation landscape. You will leave this course with a set of practical tools and techniques to apply to situations within your own professional context, to translate problems into opportunities and solutions, and ultimately to innovate through design.","design-thinking; evaluation; instructional-design; innovation; process; innovation-management; communication; principle; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[6.6,13.3]","NA","English","business","entrepreneurship","whpzQq-kEeeI4Q6L0-Nv9g"]
["Research and Design","Innovation","Innovation Management","Erasmus University Rotterdam","Beginner",17.2,4.65,"https://www.coursera.org/learn/innovation-management","What is innovation management? How do firms bring in new business models and get new products and services to the market? Go on a nine-week journey through innovation management concepts, theories of idea generation, selection, strategy formulation and implementation in this MOOC in Innovation Management. In it, you will also learn the tools for implementing innovation projects yourself. \\n\\nGuided by world-class academics, you will develop an innovative mindset and expertise in how firms successfully create new ideas for marketing new products. The syllabus also includes sessions about innovation strategy, idea management and social networks.\\n\\nDuring this course, you will learn how to:\\n•\\tuse the main innovation management terminology and concepts\\n•\\texplain the adoption life cycle and innovation adoption at the individual level\\n•\\tdefine creativity and explain how creativity can be stimulated\\n•\\trecognise and describe three types of idea management systems\\n•\\texplain what an innovation strategy is and why it is important\\n•\\tdescribe what a product portfolio is \\n•\\texplain how innovation projects should be selected and managed\\n•\\texplain the importance of teams, team structures and networks for innovation.\\n\\nRotterdam School of Management, Erasmus University (RSM) is one of Europe’s leading business schools, and ranked among the top three for research. RSM’s primary focus is on developing business leaders with international careers who carry their innovative mindset into a sustainable future. Go to www.rsm.nl for more information.\\n\\nThis nine-week MOOC in Innovation Management is taught in English. There is no fee to participate in the programme.","product; i-deas; management; project; social-network; innovation; creativity; disruptive-innovation; product-business; innovation-management","Non Specialization","Non Specialization","Non Specialization","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[11.9,19.5]","Vietnamese","English","business","business-strategy","_3l2SpONEeW2aQ7olstw0Q"]
["Research and Design","Innovation","Creating Innovation","Macquarie University","Beginner",24.9,4.64,"https://www.coursera.org/learn/creating-innovation","The third course of the specialization CREATING INNOVATION will teach you what is at the core of all innovations that solve complex problems and how to foster methods to make big breakthroughs possible. It advances your knowledge of your own field by teaching you to look at it in new ways.\\n\\nCREATING INNOVATION is constructed in the following way: Week I. “What is Innovation?” – What lies at the core of all innovations. Week II. “The Evolution of Human Creativity” – How humans developed the ability to innovate and think creatively. Week III. “Innovation in a Complex Global Network” – How innovations emerge from human networks. Week IV. “Planning Innovation” – How organisations seek out and create the right conditions for new breakthroughs. Week V. “Market Innovation” – What makes innovations more likely to emerge in a market setting. Week VI. “Innovation in the Anthropocene” – How innovations are crucial to meet the problems of the 21st century.","problem-solving; psychology; innovation; market-economics; economics; problem-solving-methods; demand; systems-thinking; continuous-function; global-network","Solving Complex Problems",3.0,"https://www.coursera.org/specializations/solving-complex-problems","For an increasing number of established companies, creating new business opportunities within the company is an imperative for success. Maturing technologies and aging product portfolios are requiring companies to create, develop, and sustain innovative new businesses. The Corporate Entrepreneurship Specialization is designed for those interested in learning how to innovate and apply entrepreneurship principles in the corporate setting.\\n\\nLearners will develop knowledge on how to navigate the barriers to creating, developing, and sustaining innovative new businesses or initiatives within existing companies. These new activities rarely fit neatly within well-established systems, processes, and cultures. Learners will develop the skills, and learn the tools and best practices, for identifying and developing the entrepreneurial opportunities, building business models, creating strategies for leading innovation, and financing innovation. These four topics comprise the four courses of the Corporate Entrepreneurship Specialization, along with a final project.\\n\\nThe Corporate Entrepreneurship Specialization is for individuals who are charged and/or inspired to develop and lead new businesses within established companies. It's specifically designed for junior- and middle-managers with the the opportunity, or responsibility, to start new businesses or initiatives within their company or division, in any industry, and in any country.","[8.1,36]","NA","English","business","leadership-and-management","rze8QETfEeawjgp7XHTShQ"]
["Research and Design","Innovation","Surviving Disruptive Technologies (On Demand)","University of Maryland, College Park","Intermediate",8.0,4.59,"https://www.coursera.org/learn/surviving-disruptive-technologies","The purpose of this course is to help individuals and organizations survive when confronted with disruptive technologies that threaten their current way of life.  We will look at a general model of survival and use it to analyze companies and industries that have failed or are close to failing.  Examples of companies that have not survived include Kodak, a firm over 100 years old, Blockbuster and Borders.   It is likely that each of us has done business with all of these firms, and today Kodak and Blockbuster are in bankruptcy and Borders has been liquidated.  Disruptions are impacting industries like education; Coursera and others offering these massive open online courses are a challenge for Universities.  In addition to firms that have failed, we will look at some that have survived and are doing well.  What are their strategies for survival?\\n\\nBy highlighting the reasons for the decline of firms and industries, participants can begin to understand how to keep the same thing from happening to them.   Through the study of successful organizations, we will try to tease out approaches to disruptions that actually work.  Our ultimate objective is to develop a strategy for survival in a world confronting one disruptive technology after another.","inspection; planning; innovation; information-technology-planning; risk; modeling; social-media; demand; maintenance; disruptive-innovation","Non Specialization","Non Specialization","Non Specialization","This specialization covers the basics of Innovation and Entrepreneurship courses in the EIT Digital Master Program. The program aims to educate students and deliver entrepreneurs with the right business skills and sense. UC Berkeley Haas School of Business and KTH Royal Institute of Technology are the academic partners in this Innovation and Entrepreneurship specialization.","[5,8.9]","NA","English","business","leadership-and-management","aLT8b2rnEeak0hLPfPzoPw"]
["Research and Design","Innovation","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Research and Design","Innovation","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","In this specialization you will learn how to:\\n\\n• Find, extract, organize and describe data to support business decisions\\n\\n• Identify, quantify and interpret relationships between variables\\n\\n• Derive customer insights from your data\\n\\n• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions\\n\\n• Present and justify a course of action to management\\n\\nThe capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Research and Design","Innovation","Innovation & Entrepreneurship - From Design Thinking to Funding","EIT Digital","Advanced",28.1,4.46,"https://www.coursera.org/learn/design-thinking-entrepreneurship","This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation.  Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations.  Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing.  This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea.  An emphasis will be placed on the IT space.\\n\\nIn this second part, From Design Thinking to Funding, the following areas are included: design thinking; innovation cycle process; business modeling; and funding.","design-thinking; customer; innovation; interior-design; funds; modeling; business-model; thought; product; entrepreneurship","Value Creation Through Innovation",3.0,"https://www.coursera.org/specializations/value-creation-innovation","Non Specialization","[13.4,45.2]","Arabic","English","business","entrepreneurship","27_khHs4EeaXRRKK7mMjqw"]
["Research and Design","Market Research","Foundations of Business Strategy","University of Virginia","Beginner",14.0,4.7,"https://www.coursera.org/learn/uva-darden-foundations-business-strategy","Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, we will explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps.","porters-five-forces-analysis; analysis; competitiveness; swot-analysis; capability-analysis; competitor-analysis; industry-analysis; strategic-analysis; business-strategy; management","Business Strategy",1.0,"https://www.coursera.org/specializations/business-strategy","Non Specialization","[8.4,16.7]","Vietnamese; Portuguese","English","business","business-strategy","a3f86i8hEeWv_w7cMMH1Uw"]
["Research and Design","Market Research","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Research and Design","Market Research","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Research and Design","Market Research","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","Non Specialization","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Research and Design","Market Research","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","NA","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Research and Design","Market Research","Digital Analytics for Marketing Professionals: Marketing Analytics in Theory","University of Illinois at Urbana-Champaign","Beginner",12.9,4.5,"https://www.coursera.org/learn/marketing-analytics","Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing-analytics; data-analysis; moment-of-truth-marketing; analysis; marketing; digital-marketing; analytics; web-analytics; web; management","Digital Marketing",2.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8,15]","NA","English","business","marketing","u_Rrw_tfEeSuiSIACwuNww"]
["Research and Design","Market Research","Research Proposal: Initiating Research","University of California, Davis","Beginner",11.4,4.43,"https://www.coursera.org/learn/research-proposal-initiating-research","Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.\\n\\nIn this course, you will be able to define market research and identify some tools used in the industry. You will be able to discuss the importance of secondary and internal research in terms of the planning process. You will be able to define what primary research is and identify the various ways to conduct primary research. You will be able to focus on an actual research plan or proposal for your peer review project. You will be able to compose a response to a request for a proposal or research plan and be able to address the various components of the proposal and package it in a professional manner.","marketing-research; marketing-research-mix; marketing; market-economics; request-for-proposal; proposal-writing; primary-research; internality; writing; market-research","Market Research",1.0,"https://www.coursera.org/specializations/market-research","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[6.7,13.6]","Arabic","English","business","marketing","vq2XwnQ-EeWLqw7zlLhRzQ"]
["Research and Design","Market Research","Positioning: What you need for a successful Marketing Strategy","IE Business School","Intermediate",11.7,4.43,"https://www.coursera.org/learn/positioning","Positioning is the heart of any Marketing Strategy, the core that you must get right. It does not matter whether you start with a clearly defined target group or with a differential value proposition: you will need end up with a clear segment or segments upon which we build our Marketing Plan.\\n\\nIn this course - the second in our Marketing Strategy Specialization - IE professor Ignacio Gafo will guide you through the essential stages of this key marketing process, starting with the basic elements that you will require and deciding on the market segmentation and marketing. The course progresses to examine the key market trends that you will encounter and will provide you with a handy practical toolbox of skills.\\n\\nThe course features interviews with industry professionals as well as on location videos where we quiz members of the public on their attitude towards this key concept.  After this course you will be in no doubt of where to position your product and which segment you are going to attempt to attract.","market-segmentation; proposition; process; marketing-process; target-audience; market-economics; marketing; marketing-strategy; positioning-marketing; value-proposition","Marketing Strategy",2.0,"https://www.coursera.org/specializations/marketing-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[5.7,17.1]","NA","English","business","marketing","p47P8W3pEeWG0w42Sx-Gkw"]
["Research and Design","Market Research","How to Validate your Startup Idea","UNSW Sydney (The University of New South Wales)","Na",6.8,4.39,"https://www.coursera.org/learn/startup-idea","Starting a new business begins with an idea that needs to evolve through experimentation, iteration and interactions with people. This course is for existing and potential entrepreneurs who are looking for guidance and support to make their ‘great idea’ a reality. In addition to reviewing the basic principles of entrepreneurship, this course guides you through the process of actively validating your idea in the market. We encourage you to identify and communicate good opportunities and to create and capture value from these opportunities. By working through the course and completing the activities you’ll learn how to get feedback that systematically tests different parts of your business idea. You will learn how to do this through interacting with potential customers, suppliers, partners and investors outside the course. Along the way, you will also become more confident in pitching your idea. By the end of the course you should have a validated business idea that you can start right away.","i-deas; value-proposition; investment; sales-support; lean-startup; customer; sales; proposition; communication; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[2.2,10.2]","NA","English","business","entrepreneurship","zwVdMU1HEeWxCwowHhzTpQ"]
["Research and Design","Market Research","Innovation for Entrepreneurs: From Idea to Marketplace","University of Maryland, College Park","Beginner",11.7,4.35,"https://www.coursera.org/learn/innovative-entrepreneur","Develop insights on navigating the innovation process from idea generation to commercialization. Build knowledge on how to create strategies to bring innovations to market. Develop an innovation portfolio and business model canvas for your venture.\\n\\nWe establish a framework for examining the innovation process, and quickly transition into exploring how to successfully bring innovations to market. Key questions answered within the course include: \\n\\n* What are the key indicators of innovation opportunities?\\n* What steps are critical for entrepreneurs to bring innovations to the marketplace?\\n* What innovation strategies are valuable for new ventures to establish and maintain a competitive advantage?\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","product-business; business-model; value-proposition; modeling; customer; proposition; marketing; innovation; market-economics; management","Entrepreneurship: Launching an Innovative Business",2.0,"https://www.coursera.org/specializations/business-entrepreneurship","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.4,13.3]","Vietnamese","English","business","entrepreneurship","mn-McyvqEeWccAqzeA4VPw"]
["Research and Design","Market Research","Qualitative Research","University of California, Davis","Beginner",13.2,4.33,"https://www.coursera.org/learn/qualitative-research","In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis.\\n\\nWeek 1: Define qualitative research and how it differs from quantitative research. Explore the various qualitative research methods and evaluate when and how to use them for your research project.\\n\\nWeek 2: Design the qualitative instruments necessary for your interviews or focus groups, and plan your recruitment efforts. Write questions and prompts to ask in an interview or focus group. Design a moderator guide and a screening questionnaire to use when recruiting your participants.\\n\\nWeek 3: Recruit participants for your focus group and apply techniques to ensure they show up and participate. Act as a moderator during your focus group and apply strategies to handle various types of situations. Probe responses and engage participants in a group discussion, while collecting qualitative data and keep the discussion moving.\\n\\nWeek 4: Organize and analyze the data you have collected. Transcribe the audio from your focus group or interview and interpret your notes. Write a focus group report that can be presented to your stakeholders and see how this information might relate to your quantitative research.  \\n\\nTake Qualitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the first course in this specialization, Research Report: Initiating Research, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","market-research; qualitative-research; best-practice; recruiting; marketing-research; plan; market-economics; focus-group; interpretation; quantitative-research","Market Research",2.0,"https://www.coursera.org/specializations/market-research","Non Specialization","[6.1,18.4]","NA","English","business","marketing","wpuvI4QzEeaT3g7PD2zpfw"]
["Research and Design","Market Research","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Research and Design","Operations Research","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Research and Design","Operations Research","Process Mining: Data science in Action","Eindhoven University of Technology","Beginner",35.0,4.78,"https://www.coursera.org/learn/process-mining","Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.\\n\\nData science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as \"data science in action\".\\n\\nThe course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.\\n\\nThis course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.\\n\\nThe course covers the three main types of process mining.\\n\\n1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log.\\n\\n2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa.\\n\\n3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases.\\n\\nProcess mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between \"business\" and \"IT\". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development.\\n\\nThe course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field.\\n\\nAfter taking this course you should:\\n- have a good understanding of Business Process Intelligence techniques (in particular process mining),\\n- understand the role of Big Data in today’s society,\\n- be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,\\n- be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),\\n- be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),\\n- be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),\\n- have a good understanding of the data needed to start a process mining project,\\n- be able to characterize the questions that can be answered based on such event data,\\n- explain how process mining can also be used for operational support (prediction and recommendation), and\\n- be able to conduct process mining projects in a structured manner.","conformance-checking; data-segment; data-uri-scheme; process-modeling; petri-net; netting; modeling; process-mining; process; data-mining","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[22.7,47.7]","NA","English","data-science","data-analysis","SN5tm_tBEeScRyIAC3-PxA"]
["Research and Design","Operations Research","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Research and Design","Operations Research","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Research and Design","Persona Research","Human-Centered Design: an Introduction","University of California San Diego","Beginner",15.8,4.63,"https://www.coursera.org/learn/human-computer-interaction","In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. \\n\\nThis is the first course offered in the interaction design specialization series. Browse through previous capstone projects for some inspiration here: https://medium.com/capstone-projects/capstone-projects-2019-abc67d3f6f26","evaluation; heuristic; rapid-prototyping; interaction; heuristic-evaluation; user-experience; human-computer-interaction; paper-prototyping; interview; storyboarding","Interaction Design",1.0,"https://www.coursera.org/specializations/interaction-design","Market hospitality services, manage demand, and optimize revenue.\\n\\nThis Specialization covers the basics of hotel demand management, distribution, and revenue management. You’ll learn how e-commerce intermediaries such as online travel agencies are impacting the already-complex hospitality sector, and you’ll explore tools and techniques that will help you effectively market hospitality services and maximize business revenue in this new global industry landscape. In the final Capstone Project, you’ll evaluate the importance of hotel branding in business success through a hands-on, real-world case study. During the sessions, you will hear from senior hotel industry executives commenting on distribution, revenue and demand management issues. We will also interview two leading Online Travel Agents on how to maximise online business for your property, and have partnered with Duetto and SnapShot, two leading hospitality industry companies, to gain access to cutting edge knowledge, thus insuring that the competencies that you gain will make you operational immediately as well as bang up to date on industry trends.","[10.8,18.8]","Portuguese; Russian; Korean; Chinese; Spanish","English","computer-science","design-and-product","DDBg7AlXEeWTSSIAC0MDtg"]
["Research and Design","Survey Creation","Questionnaire Design for Social Surveys","University of Michigan","Beginner",15.1,4.39,"https://www.coursera.org/learn/questionnaire-design","This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.","planning; observational-error; copy-testing; survey-design; methodology; approximation-error; type-i-and-type-ii-errors; error; survey-methodology; measurement","Survey Data Collection and Analytics",3.0,"https://www.coursera.org/specializations/data-collection","Non Specialization","[10,17.8]","NA","English","life-sciences","psychology","vrTPjkqzEeWB9g55-yieoQ"]
["Research and Design","Survey Creation","Survey analysis to Gain Marketing Insights","Emory University","Advanced",5.0,4.34,"https://www.coursera.org/learn/survey-analysis-marketing-insights","How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers. In Analytic Methods for Survey Data, learners will become familiar with established statistical methods for converting survey responses to insights that can support marketing decisions. Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling. These techniques are presented within the STP (Segmentation, Positioning, Targeting) Framework, enabling learners to apply the analytic techniques to develop a marketing strategy. It is recommended that you complete the Meaningful Marketing Insights course offered by Coursera before taking this course. \\n\\nNote: This course would require using XL Stat, an Excel Add-on that students would need to purchase. XL Stat offers a 30-day free trial, so students could complete this course without incurring additional expense.","market-segmentation; xlstat; marketing; market-economics; factor-analysis; cluster-analysis; marketing-analytics; perceptual-mapping; customer; analysis","Foundations of Marketing Analytics",4.0,"https://www.coursera.org/specializations/marketing-analytics","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[2.4,6.1]","NA","English","business","marketing","ciNPtDTPEeagOA7KA9ciIQ"]
["Research and Design","User Experience Design","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","user-research; evaluation; principle; experience; user-experience; usability; heuristic; heuristic-evaluation; experience-design; user-experience-design","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[12.4,22.4]","NA","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Research and Design","User Experience Design","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.4,4.74,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience-design; user-experience; java-annotation; map; experience; user-interface; site-map; website-wireframe; websites; experience-design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[14.4,27]","NA","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["Research and Design","User Experience Design","Introduction to UI Design","University of Minnesota","Beginner",22.9,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","evaluation; user-interface-design; java-annotation; principle; experience; user-interface; usability; interfaces; design-theory; user-experience","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[13,35.5]","NA","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["Research and Design","User Experience Design","Human-Centered Design: an Introduction","University of California San Diego","Beginner",15.8,4.63,"https://www.coursera.org/learn/human-computer-interaction","In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. \\n\\nThis is the first course offered in the interaction design specialization series. Browse through previous capstone projects for some inspiration here: https://medium.com/capstone-projects/capstone-projects-2019-abc67d3f6f26","evaluation; heuristic; rapid-prototyping; interaction; heuristic-evaluation; user-experience; human-computer-interaction; paper-prototyping; interview; storyboarding","Interaction Design",1.0,"https://www.coursera.org/specializations/interaction-design","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[10.8,18.8]","Portuguese; Russian; Korean; Chinese; Spanish","English","computer-science","design-and-product","DDBg7AlXEeWTSSIAC0MDtg"]
["Research and Design","User Experience Design","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.7,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience; graphic-design; experience; graphics; java-annotation; interfaces; basic-element; design-pattern; user-interface; user-interface-design","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[10.5,18]","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Research and Design","User Experience Design","Design Principles: an Introduction","University of California San Diego","Beginner",15.9,4.58,"https://www.coursera.org/learn/design-principles","What makes an interface intuitive? How can I tell whether one design works better than another? This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn fundamental principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze controlled experiments online. In many cases, we'll use Web design as the anchoring domain. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. When we do so, it will be to support the main goal of this course, which is helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.","user-experience; communication-design; a-b-testing; interfaces; java-annotation; experiment; user-interface; chi-squared-distribution; numerical-integration; software-testing","Interaction Design",2.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[11.6,18.4]","Japanese; Portuguese; Chinese; Turkish; Russian; Spanish","English","computer-science","design-and-product","YcfRNRoCEeW9dA4X94-nLQ"]
["Research and Design","User Experience Design","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Research and Design","User Experience Design","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.48,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","java-annotation; usability; paper-prototyping; experience-design; user-experience; interfaces; experience; user-interface; user-research; user-experience-design","Non Specialization","Non Specialization","Non Specialization","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[4.2,8.1]","French; Spanish; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["Research and Design","Visual Design","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Research and Design","Visual Design","Ideas from the History of Graphic Design","California Institute of the Arts","Beginner",13.4,4.63,"https://www.coursera.org/learn/graphic-design-history","This condensed survey course focuses on four key periods or themes from the history of design. Together we’ll trace the emergence of design as a recognized practice, why things look the way they do, and how designers approached specific design problems in their work. \\n\\nEach week, a short quiz will test your knowledge of concepts, and a short reflective assignment will give you the opportunity to analyze the questions designers ask themselves today.\\n\\nThis is an essential course for emerging designers entering the field, or for students interested in learning more about visual culture and analysis. No previous experience is required.","graphic-design; history; design-analysis; integration-testing; graphics; graphic-arts; art-history; art; learning; analysis","Graphic Design",4.0,"https://www.coursera.org/specializations/graphic-design","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[8.7,16.7]","Serbian","English","arts-and-humanities","history","NjakpyWaEeWs4gorU6Q1Yw"]
["Research and Design","Visual Design","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.7,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience; graphic-design; experience; graphics; java-annotation; interfaces; basic-element; design-pattern; user-interface; user-interface-design","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","Non Specialization","[10.5,18]","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Research and Design","Visual Design","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.6,4.6,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","communication; infographics; graphic-design; adobe-illustrator; communication-design; information-design; graphics; map; chart; illustration","Non Specialization","Non Specialization","Non Specialization","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[10.9,18.5]","NA","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Research and Design","Visual Design","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Research and Design","Visual Design","Information Design","University of California San Diego","Intermediate",8.4,4.44,"https://www.coursera.org/learn/infodesign","A blank canvas is full of possibility. If you have an idea for a user experience, how do you turn it into a beautiful and effective user interface?  This covers covers principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn concrete strategies to create user interfaces, including key lessons in typography, information architecture, layout, color, and more. You’ll learn particular issues that arise in new device contexts, such as mobile and responsive interfaces. You will learn how to apply these design principles in a modern context of increasingly diverse form factors - from tablets, to walls, to watches.","web; interfaces; java-annotation; website-wireframe; user-interface-techniques; user-interface; information-design; websites; web-design; responsive-web-design","Interaction Design",6.0,"https://www.coursera.org/specializations/interaction-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[5.7,9.9]","Spanish; Portuguese; Russian; Chinese","English","computer-science","design-and-product","afay6xVFEeWfzgpfp_iBVw"]
["Research and Design","Visual Design","Essential Design Principles for Tableau","University of California, Davis","Beginner",13.9,4.4,"https://www.coursera.org/learn/dataviz-design","In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the \"right\" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","principle; data-segment; cognitive-load; software; data-analysis; tableau-software; data-virtualization; visualization-graphic; analysis; data-uri-scheme","Data Visualization with Tableau",2.0,"https://www.coursera.org/specializations/data-visualization","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[9.2,16.1]","NA","English","data-science","data-analysis","f6s8aXQ3EeWIfhKr_WcYsQ"]
["Research and Design","Visual Design","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Non Specialization","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["Sales","Best Courses","Sales Training: Building Your Sales Career","HubSpot Academy","Advanced",13.4,4.66,"https://www.coursera.org/learn/build-sales-career","Whether you're thinking about a career in sales, just getting started at your new sales job, or managing entry level sales people, this course will provide you a valuable perspective on your sales career. You'll start out the course with an overview of what it takes to be successful in sales. It might surprise you. You'll learn why most people have it all wrong about sales! \\n\\nThe following five lessons will cover the inbound sales methodology, a framework used by thousands of sales professionals to get started in sales. You'll learn the difference between active and passive buyers, and how to build relationships and earn their attention. You'll learn why understanding the buyer's context is imperative providing them solutions. \\n\\nIn this course, you'll gain the fundamental knowledge required to be successful in sales. By investing your time in sales training, you're already ahead of the curve.","sales-strategy; lead-qualification; confidence; communication; sales-management; inbound-sales; sales; wait-system-call","Sales Training for High Performing Teams",1.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[4.5,21.5]","NA","English","business","business-essentials","Yg9R95-4EeivlRKl-OnbEA"]
["Sales","Best Courses","Sales Training: Sales Team Management","HubSpot Academy","Intermediate",7.6,4.68,"https://www.coursera.org/learn/sales-team-management","In this course, you will learn how to define your target market, create a scalable sales process, and build training, coaching, hiring, and onboarding programs to help your sales team grow better.\\n\\nWhether you're already managing a sales team, or aspire to manage one at some point in your career, this course will explain what's involved when it comes to setting up a sales process, coaching your team, hiring new team members, and getting those team members up to speed as fast as possible.","hubspot; sales","Sales Training for High Performing Teams",3.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[4.7,9.4]","NA","English","business","leadership-and-management","pfVIobdnEeim8hJNqWsBVg"]
["Sales","Best Courses","Sales Training: Inbound Business Strategy","HubSpot Academy","Intermediate",15.3,4.76,"https://www.coursera.org/learn/inbound-business-strategy","Welcome to the Inbound Certification course!\\n\\nThis course will introduce you to inbound and provide you with a big picture view of everything you need for a successful inbound strategy.\\n\\nSo, why inbound?\\n\\nInbound is a fundamental shift in the way you do business. Instead of an interruption-based message where the marketer or salesperson had all the control, inbound is about empowering potential customers. Consumer’s buying behaviors have changed and will continue to change. That's the driving force behind inbound. What your customers want today is different than what they wanted 10 years ago. That means you need to change the way you market, sell, and service to match the way people actually want to shop and buy.\\n\\nSo, wondering what to expect in this course?\\n\\nAfter an initial lesson on an introduction to the inbound fundamentals, the course consists of a set of lessons that follows the inbound methodology. The inbound methodology illustrates the four stages that make an inbound business. It reflects the entire inbound marketing, sales, services, and relationship process. The stages are Attract, Convert, Close, and Delight.\\n\\nEach lesson includes different tactics that you can apply to help you and your business grow better. You’ll also hear from HubSpot executives and leadership including: HubSpot’s Co-founders Brian Halligan & Dharmesh Shah. Chief People Officer, Katie Burke. VP of HubSpot Academy, Mark Kilens. VP of Marketing, Meghan Anderson. SVP of Product, Christopher O’Donnell. VP of Sales, Michelle Benfer. And VP of Customer Success, Alison Elworthy","hubspot; sales; inbound-marketing; marketing","Sales Training for High Performing Teams",4.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[6.5,23.8]","NA","English","business","business-strategy","eAPzf1rCEeiSewqcLVURIg"]
["Sales","Best Courses","Sales Training: Inbound Business Strategy","HubSpot Academy","Intermediate",15.3,4.76,"https://www.coursera.org/learn/inbound-business-strategy","Welcome to the Inbound Certification course!\\n\\nThis course will introduce you to inbound and provide you with a big picture view of everything you need for a successful inbound strategy.\\n\\nSo, why inbound?\\n\\nInbound is a fundamental shift in the way you do business. Instead of an interruption-based message where the marketer or salesperson had all the control, inbound is about empowering potential customers. Consumer’s buying behaviors have changed and will continue to change. That's the driving force behind inbound. What your customers want today is different than what they wanted 10 years ago. That means you need to change the way you market, sell, and service to match the way people actually want to shop and buy.\\n\\nSo, wondering what to expect in this course?\\n\\nAfter an initial lesson on an introduction to the inbound fundamentals, the course consists of a set of lessons that follows the inbound methodology. The inbound methodology illustrates the four stages that make an inbound business. It reflects the entire inbound marketing, sales, services, and relationship process. The stages are Attract, Convert, Close, and Delight.\\n\\nEach lesson includes different tactics that you can apply to help you and your business grow better. You’ll also hear from HubSpot executives and leadership including: HubSpot’s Co-founders Brian Halligan & Dharmesh Shah. Chief People Officer, Katie Burke. VP of HubSpot Academy, Mark Kilens. VP of Marketing, Meghan Anderson. SVP of Product, Christopher O’Donnell. VP of Sales, Michelle Benfer. And VP of Customer Success, Alison Elworthy","hubspot; sales; inbound-marketing; marketing","Sales Training for High Performing Teams",4.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[6.5,23.8]","NA","English","business","business-strategy","eAPzf1rCEeiSewqcLVURIg"]
["Sales","Best Courses","Customer Segmentation and Prospecting","Northwestern University","Beginner",8.5,4.73,"https://www.coursera.org/learn/customer-segmentation-prospecting","In Course 1, we set the foundation for the Art of Sales Specialization and offer a new mindset for becoming a high-performer in sales. We will discuss the Knowledge, Skill and Discipline that you need to stand out in your industry, and create a goal for you to reach by the end of the specialization. Finally, you will learn how to talk about yourself and your business. You will build your personal Sales Trailer and learn how to get into and out of sales conversations quickly and effectively.\\n\\nAbout the Specialization: \\nThe purpose of this Specialization is to make you as efficient and effective in selling as possible. You will gain several critical skills and disciplines that will accelerate your success with your small or large company and your life. The ability to sell is a necessity in this world. Whether it’s standing out in a crowd, selling yourself to a new employer, or winning new customers; selling is something we do every day, and we should be great at it! This Specialization is designed as an adventure of discovery. You will be tested, taught and transformed through a series of lectures, discussions and exercises that are designed to push you up and out of your comfort zone. You will learn how to target and acquire customers and get them to fall in love..","prospecting; presentation; sales-presentation; sales-strategy; sales-meetings; email; sales; sales-prospecting; meeting; emailing","The Art of Sales: Mastering the Selling Process",1.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[5,9.7]","Vietnamese","English","business","business-essentials","OrcFP60ZEee6uBIE_DW6Lg"]
["Sales","Best Courses","Connecting with Sales Prospects","Northwestern University","Intermediate",9.1,4.82,"https://www.coursera.org/learn/connecting-with-sales-prospects","In Course Two of the Art of Sales Specialization, you will learn how to run high-impact meetings that create complete separation between you and everyone else your customer comes into contact with. You will learn the importance of asking better questions and how to anticipate and handle sales objections.  Finally, you will learn how to tell powerful stories and to give and receive performance feedback.","sales; goal; sales-management; sales-strategy; storytelling; selling-techniques; running; customer-support; communication","The Art of Sales: Mastering the Selling Process",2.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[4.9,10.3]","Vietnamese","English","business","leadership-and-management","UNWZIK0aEeeW_g7ZvVbnJA"]
["Sales","Best Courses","Sales Pitch and Closing","Northwestern University","Intermediate",5.7,4.59,"https://www.coursera.org/learn/sales-pitch-closing","In Course 3 of the Art of Sales Specialization, you will learn how to give great presentations with dashing style and self-confidence. You will also learn how to ask the looming closing question. Finally, you will learn how to develop your brand and go above and beyond for your clients.","presentation; sales; self-confidence; communication; storytelling; sales-management; sales-strategy; sales-presentation; hotel-manager","The Art of Sales: Mastering the Selling Process",3.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[2.9,6.5]","Vietnamese","English","business","business-essentials","fIqQhK0aEeeTdQ7VF-D76g"]
["Sales","Best Courses","Building a Toolkit for Your Sales Process","Northwestern University","Intermediate",5.7,4.66,"https://www.coursera.org/learn/toolkit-sales-process","In Course 4, we are quite literally “putting it all together”. We will review the insights we gained from our barter experiment and use the tools we created each week to curate your Sales Toolkit.","sales-strategy; evaluation; storytelling; sales-process-engineering; process; discipline; sales; sales-management; communication","The Art of Sales: Mastering the Selling Process",4.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[2.2,6.4]","NA","English","business","business-essentials","nAFfya0aEeeTdQ7VF-D76g"]
["Sales","Best Courses","Sales Strategy","Fundação Instituto de Administração","Advanced",18.0,4.51,"https://www.coursera.org/learn/sales-strategy","Welcome to Course 2 - Sales Strategy - This course is designed to discuss the application of intelligence analysis in the sales planning process. And this approach contributes to integrating the sales planning process into the corporate strategy of the company because, in the strategy analysis and formulation process, we apply models, frameworks, tools, and techniques that also apply to the sales planning and management process. \\nTherefore, the expected outcomes of this course focus on the transition from traditional to strategic sales planning, by discussing and applying the concepts recommended to support the development of the strategic guidelines. \\nThe concepts, models, tools, and techniques discussed and practiced during the course focus on the improvement of value creation from the sales function empowered by intelligence analysis, a process which typically applies in the strategy analysis front. \\nThe discussions go through how intelligence analysis can support the sales function, by providing methods to connect strategy to marketing and sales planning processes. \\nIn this course, the primary learning outcome is the ability to apply intelligence analysis to support sales planning process, and by being able to do this, you’ll improve your competencies and skills to support sales planning with a strategic approach. \\nYou’ll develop a final assignment at the end of the course, and it is designed from an adapted real-life business case. The challenges of the case comprise the business context, through which you’ll apply the conceptual framework discussed during Course 2. \\nThe outcomes of your analysis on the assignment case will be evaluated through a peer-review process.","plan; externality; sales; maturity-finance; intelligence-analysis; competitiveness; sales-analytics; analysis; sales-strategy; standard-score","Strategic Sales Management",2.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[12.2,20.8]","NA","English","business","business-strategy","lYVp74v7EeeMexKwGJd-pg"]
["Sales","Best Courses","Sales Force Management","West Virginia University","Advanced",32.9,4.41,"https://www.coursera.org/learn/sales-force-management","The second course in the Sales Operations/Management Specialization, Sales Force Management covers various aspects of hiring and personnel administration. Students will learn about job design and recruitment processes, tools of recruitment, the role of training in sales force development, and motivating salespeople to perform the tasks critical to an organization's success.","sales-management; salesforce; emotional-intelligence-2dot0; sales; customer-relationship-management","Sales Operations/Management",2.0,"https://www.coursera.org/specializations/sales-operations","Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions. As part of the course, you will meet a number of practicing sales managers who share their experience and knowledge. The learning outcomes are:\\n\\n· Develop a plan for organizing, staffing and training a sales force.\\n\\n· Identify the key factors in establishing and maintaining high morale in the sales force.\\n\\n· Develop an effective sales compensation plan.\\n\\n· Evaluate the performance of a sales person.\\n\\n· Organize sales territories to maximize selling effectiveness.\\n\\n· Evaluate sales and sales management strategies in relation to current legal and ethical standards of practice.","[14.1,50.2]","Vietnamese","English","business","leadership-and-management","K7t2FcZtEee5ZQq8Yf6s3g"]
["Sales","Advertising Sales","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions. As part of the course, you will meet a number of practicing sales managers who share their experience and knowledge. The learning outcomes are:\\n\\n· Develop a plan for organizing, staffing and training a sales force.\\n\\n· Identify the key factors in establishing and maintaining high morale in the sales force.\\n\\n· Develop an effective sales compensation plan.\\n\\n· Evaluate the performance of a sales person.\\n\\n· Organize sales territories to maximize selling effectiveness.\\n\\n· Evaluate sales and sales management strategies in relation to current legal and ethical standards of practice.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["Sales","Advertising Sales","Introduction to the Digital Advertising Landscape","University of Colorado Boulder","Intermediate",27.9,4.26,"https://www.coursera.org/learn/digital-advertising-landscape","The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that action on that data are both ubiquitous and complicated. As a result the sheer number of options available to digital marketers is hard to comprehend and manage. This course covers the major forms of digital advertising, from basic display ads to search to cutting-edge programmatic advertising concepts. The Trade Desk, the leading programmatic advertising provider, joins us as our programmatic experts and offers an actionable roadmap on how small businesses can leverage state of the art advertising technologies to accomplish business objectives. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities.","advertising; google-adwords; digital-marketing; adtech; marketing; digital-advertising; facebook; advertising-campaigns; instagram; social-media","Digital Advertising Strategy",1.0,"https://www.coursera.org/specializations/digital-advertising-strategy","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[9.9,43.6]","NA","English","business","marketing","xgDSp2qTEemAbgqbKzmtFA"]
["Sales","B2B Sales","International B2B (Business to Business) Marketing","Yonsei University","Beginner",6.8,4.55,"https://www.coursera.org/learn/b2b-marketing","This course offers a unique perspective into the differentiating aspects of business to business (B2B) marketing that can be contrasted to traditional business to consumer (B2C) marketing that is the subject of most other marketing curricula. Moreover, as one of the courses in the Specialization: International Marketing & Cross Industry Growth, here too there is an emphasis on how companies can expand by cross-country and cross-industry innovation.  \\n\\nBy taking this course learners will obtain the following outcomes:\\n\\n(1) understand the differences between B2C and B2B marketing.\\n(2) approach marketing problems from an inter-organizational perspective, in particular, learn about decision making at buying centers.\\n(3) innovate B2B marketing via a CCCI, i.e. Cross Country & Cross Industry Innovation approach.\\n(4) gain insights about CCCI Innovation and best practices via interviews with top B2B industry experts.","marketing-strategy; c-ross; promotion-marketing; marketing; b2b-marketing; global-marketing; business-to-business; inspection; business-marketing; analysis","International Marketing & Cross Industry Growth",3.0,"https://www.coursera.org/specializations/international-marketing","Non Specialization","[3.9,8.1]","Chinese; Spanish; Korean","English","business","marketing","_3FDkYE5EeWuHwqbqMyacw"]
["Sales","Customer Success","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Sales","Customer Success","Relationship Management","Rice University","Beginner",18.5,4.7,"https://www.coursera.org/learn/relationship-management","To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.","leadership-development; engineering-management; meeting; leadership; customer-relationship-management; project-management; sales; management; collaboration; communication","Leadership Development for Engineers",2.0,"https://www.coursera.org/specializations/leadership-development-engineers","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[7.2,31.8]","Vietnamese","English","business","leadership-and-management","sRAtPGhtEeab8hJTez1v6w"]
["Sales","E-Commerce","The fundamentals of hotel distribution","ESSEC Business School","Intermediate",20.0,4.67,"https://www.coursera.org/learn/hotel-distribution","In today’s hotel sector an increasingly complex network of traditional and web based channels have to be managed to insure hotel success. Key questions include: how should you distribute over the web? What should you include on your brand.com website so people book through it?  How can you maximise the potential of online travel agents (OTAs)?  With the distribution environment both highly complex and constantly evolving, this course will give you comprehensive foundation of current industry practices to help jump start your career in this fascinating domain.\\n\\nAcknowledgements: Claire Bertrand, Vincent Chatain, Jessica Moses, Benjamin Six (ESSEC Business School), Emilie Dupré (Image-In), Gregory Halidy (Triplay)","chi-squared-distribution; management; distribution-business; studentized-residual; hotel; hospitality-management; hotel-manager; marketing; revenue; revenue-management","Hotel Management: Distribution, Revenue and Demand Management",1.0,"https://www.coursera.org/specializations/hotel-management","Non Specialization","[13.3,22.9]","NA","English","business","business-strategy","DzPiWTeDEeWCYBKNeFwojw"]
["Sales","E-Commerce","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Sales","E-Commerce","Digital Analytics for Marketing Professionals: Marketing Analytics in Practice","University of Illinois at Urbana-Champaign","Advanced",11.2,4.43,"https://www.coursera.org/learn/digital-analytics","This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping you realize the power of visualizing data with artful use of numbers found in the digital space.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; data-analysis; analytics; analysis; visualization-graphic; digital-marketing; marketing-analytics; data-segment; marketing; data-uri-scheme","Digital Marketing",3.0,"https://www.coursera.org/specializations/digital-marketing","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[7,13.2]","NA","English","business","marketing","bGZkCuIJEeSqWiIAC0gGHw"]
["Sales","E-Commerce","Digital Business Models","Lund University","Intermediate",14.4,4.42,"https://www.coursera.org/learn/digital-business-models","Digital business models are disrupting 50-year old companies in telecommunications, transportation, advertising, e-commerce, automotive, insurance and many other industries. This course will explore the business models of software disruptors of the west such as Apple, Google, Facebook and Amazon, and the east such as Xiaomi and weChat. The class uses a structured framework for analysing business models with numerous examples so that students can apply it to their own business or case study.\\n \\nWe will explore how software developers are not just the innovators but also the decision makers in modern competitive battles from mobile to cloud, and from consumer goods to enterprise software. And we will also explain how developers are the engine of digital business models, using examples from diverse industries – from healthcare to aviation.","proposition; digitizing; software; business-model; value-proposition; business-modeling; modeling; digital-strategy; integration-testing; e-commerce","Non Specialization","Non Specialization","Non Specialization","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[8.2,21.3]","Vietnamese; Korean","English","business","business-strategy","2dQBCHwBEeadzAr8QEFyQQ"]
["Sales","Inside Sales","Sales Training: Inbound Business Strategy","HubSpot Academy","Intermediate",15.3,4.76,"https://www.coursera.org/learn/inbound-business-strategy","Welcome to the Inbound Certification course!\\n\\nThis course will introduce you to inbound and provide you with a big picture view of everything you need for a successful inbound strategy.\\n\\nSo, why inbound?\\n\\nInbound is a fundamental shift in the way you do business. Instead of an interruption-based message where the marketer or salesperson had all the control, inbound is about empowering potential customers. Consumer’s buying behaviors have changed and will continue to change. That's the driving force behind inbound. What your customers want today is different than what they wanted 10 years ago. That means you need to change the way you market, sell, and service to match the way people actually want to shop and buy.\\n\\nSo, wondering what to expect in this course?\\n\\nAfter an initial lesson on an introduction to the inbound fundamentals, the course consists of a set of lessons that follows the inbound methodology. The inbound methodology illustrates the four stages that make an inbound business. It reflects the entire inbound marketing, sales, services, and relationship process. The stages are Attract, Convert, Close, and Delight.\\n\\nEach lesson includes different tactics that you can apply to help you and your business grow better. You’ll also hear from HubSpot executives and leadership including: HubSpot’s Co-founders Brian Halligan & Dharmesh Shah. Chief People Officer, Katie Burke. VP of HubSpot Academy, Mark Kilens. VP of Marketing, Meghan Anderson. SVP of Product, Christopher O’Donnell. VP of Sales, Michelle Benfer. And VP of Customer Success, Alison Elworthy","hubspot; sales; inbound-marketing; marketing","Sales Training for High Performing Teams",4.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[6.5,23.8]","NA","English","business","business-strategy","eAPzf1rCEeiSewqcLVURIg"]
["Sales","Merchandising","Cost and Economics in Pricing Strategy","University of Virginia","Beginner",22.2,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-cost-economics","How much should you charge for your products and services? Traditionally, businesses have answered this question based on the cost to produce or provide their goods and services. This course shows you the economic factors behind pricing based on cost and the pros and cons of a cost-based pricing approach. Led by Darden faculty and Boston Consulting Group global pricing experts, the course provides the practical and research-based models and methods you need to set prices that maximize your profits. \\n\\nBy the end of this course, you’ll be able to:\\n--Apply knowledge of basic economics to make better pricing decisions\\n--Recognize opportunities for price discrimination—selling the same product at different prices to different buyers—and recommend strategies to maximize sales and profits\\n--Calculate three types of price elasticities to determine the impact of price on demand\\n--Analyze and apply different pricing models\\n  -Cost-plus pricing\\n  -Marginal cost-plus pricing\\n  -Peak-load pricing\\n  -Index-based pricing\\n--Evaluate the impact of channel intermediaries and customer lifetime value on pricing","pricing-strategies; price-optimization; demand; price-analysis; market-economics; analysis; price-elasticity-of-demand; pricing; pricing-analysis; economics","Pricing Strategy Optimization",1.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","Non Specialization","[13.5,24.6]","Romanian","English","business","marketing","EIxoA4DiEeaTWA5e4i8Kvw"]
["Sales","Merchandising","Channel Management and Retailing","IE Business School","Beginner",8.5,4.35,"https://www.coursera.org/learn/channel-management","Understand how channel management and retailing can improve performance in your business.  Nowadays, a distribution strategy is part of the DNA of many companies and a correct channel management is key for the success of your product. Distribution plans need to be prepared for the long run, combining the following main areas:  company profile, portfolio structure and price positioning, go-to-market policy, trade and retail marketing, e-commerce and global retail management. \\n\\nIn the last decade, there have been two main revolutions that have affected industries, increasing the importance of Distribution Channel Management  Profesor Maria Teresa Aranzabal guides you through: The IT revolution: considering developments in CRM, supply chain, planning tools, merchandise and reallocation systems, amongst others; and the retail focus: how a clear retail strategy can be a differentiator for companies and a strong weapon of competitiveness. \\n\\nIn this course you will learn how to stay up-to-date on how companies are adding these aspects to their main strategic guidelines and making them key points in their managerial decision-making process.  We use interviews with industry experts and give real-life examples of how to ensure your business makes the most of this vital area of marketing.","trade-marketing; channel-management; channel-development; retail-management; marketing; supply-chain; retailing; market-economics; trading; management","Marketing Mix Implementation",3.0,"https://www.coursera.org/specializations/marketing-mix","Non Specialization","[4.3,10.7]","Korean","English","business","marketing","7t9y531dEeWKYwric11Hpw"]
["Sales","Outside Sales","Connecting with Sales Prospects","Northwestern University","Intermediate",9.1,4.82,"https://www.coursera.org/learn/connecting-with-sales-prospects","In Course Two of the Art of Sales Specialization, you will learn how to run high-impact meetings that create complete separation between you and everyone else your customer comes into contact with. You will learn the importance of asking better questions and how to anticipate and handle sales objections.  Finally, you will learn how to tell powerful stories and to give and receive performance feedback.","sales; goal; sales-management; sales-strategy; storytelling; selling-techniques; running; customer-support; communication","The Art of Sales: Mastering the Selling Process",2.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[4.9,10.3]","Vietnamese","English","business","leadership-and-management","UNWZIK0aEeeW_g7ZvVbnJA"]
["Sales","Outside Sales","Sales Training: Inbound Business Strategy","HubSpot Academy","Intermediate",15.3,4.76,"https://www.coursera.org/learn/inbound-business-strategy","Welcome to the Inbound Certification course!\\n\\nThis course will introduce you to inbound and provide you with a big picture view of everything you need for a successful inbound strategy.\\n\\nSo, why inbound?\\n\\nInbound is a fundamental shift in the way you do business. Instead of an interruption-based message where the marketer or salesperson had all the control, inbound is about empowering potential customers. Consumer’s buying behaviors have changed and will continue to change. That's the driving force behind inbound. What your customers want today is different than what they wanted 10 years ago. That means you need to change the way you market, sell, and service to match the way people actually want to shop and buy.\\n\\nSo, wondering what to expect in this course?\\n\\nAfter an initial lesson on an introduction to the inbound fundamentals, the course consists of a set of lessons that follows the inbound methodology. The inbound methodology illustrates the four stages that make an inbound business. It reflects the entire inbound marketing, sales, services, and relationship process. The stages are Attract, Convert, Close, and Delight.\\n\\nEach lesson includes different tactics that you can apply to help you and your business grow better. You’ll also hear from HubSpot executives and leadership including: HubSpot’s Co-founders Brian Halligan & Dharmesh Shah. Chief People Officer, Katie Burke. VP of HubSpot Academy, Mark Kilens. VP of Marketing, Meghan Anderson. SVP of Product, Christopher O’Donnell. VP of Sales, Michelle Benfer. And VP of Customer Success, Alison Elworthy","hubspot; sales; inbound-marketing; marketing","Sales Training for High Performing Teams",4.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[6.5,23.8]","NA","English","business","business-strategy","eAPzf1rCEeiSewqcLVURIg"]
["Sales","Outside Sales","Sales Training: Sales Team Management","HubSpot Academy","Intermediate",7.6,4.68,"https://www.coursera.org/learn/sales-team-management","In this course, you will learn how to define your target market, create a scalable sales process, and build training, coaching, hiring, and onboarding programs to help your sales team grow better.\\n\\nWhether you're already managing a sales team, or aspire to manage one at some point in your career, this course will explain what's involved when it comes to setting up a sales process, coaching your team, hiring new team members, and getting those team members up to speed as fast as possible.","hubspot; sales","Sales Training for High Performing Teams",3.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[4.7,9.4]","NA","English","business","leadership-and-management","pfVIobdnEeim8hJNqWsBVg"]
["Sales","Outside Sales","Building a Toolkit for Your Sales Process","Northwestern University","Intermediate",5.7,4.66,"https://www.coursera.org/learn/toolkit-sales-process","In Course 4, we are quite literally “putting it all together”. We will review the insights we gained from our barter experiment and use the tools we created each week to curate your Sales Toolkit.","sales-strategy; evaluation; storytelling; sales-process-engineering; process; discipline; sales; sales-management; communication","The Art of Sales: Mastering the Selling Process",4.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[2.2,6.4]","NA","English","business","business-essentials","nAFfya0aEeeTdQ7VF-D76g"]
["Sales","Outside Sales","Sales Training: Building Your Sales Career","HubSpot Academy","Advanced",13.4,4.66,"https://www.coursera.org/learn/build-sales-career","Whether you're thinking about a career in sales, just getting started at your new sales job, or managing entry level sales people, this course will provide you a valuable perspective on your sales career. You'll start out the course with an overview of what it takes to be successful in sales. It might surprise you. You'll learn why most people have it all wrong about sales! \\n\\nThe following five lessons will cover the inbound sales methodology, a framework used by thousands of sales professionals to get started in sales. You'll learn the difference between active and passive buyers, and how to build relationships and earn their attention. You'll learn why understanding the buyer's context is imperative providing them solutions. \\n\\nIn this course, you'll gain the fundamental knowledge required to be successful in sales. By investing your time in sales training, you're already ahead of the curve.","sales-strategy; lead-qualification; confidence; communication; sales-management; inbound-sales; sales; wait-system-call","Sales Training for High Performing Teams",1.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions. As part of the course, you will meet a number of practicing sales managers who share their experience and knowledge. The learning outcomes are:\\n\\n· Develop a plan for organizing, staffing and training a sales force.\\n\\n· Identify the key factors in establishing and maintaining high morale in the sales force.\\n\\n· Develop an effective sales compensation plan.\\n\\n· Evaluate the performance of a sales person.\\n\\n· Organize sales territories to maximize selling effectiveness.\\n\\n· Evaluate sales and sales management strategies in relation to current legal and ethical standards of practice.","[4.5,21.5]","NA","English","business","business-essentials","Yg9R95-4EeivlRKl-OnbEA"]
["Sales","Outside Sales","Sales Pitch and Closing","Northwestern University","Intermediate",5.7,4.59,"https://www.coursera.org/learn/sales-pitch-closing","In Course 3 of the Art of Sales Specialization, you will learn how to give great presentations with dashing style and self-confidence. You will also learn how to ask the looming closing question. Finally, you will learn how to develop your brand and go above and beyond for your clients.","presentation; sales; self-confidence; communication; storytelling; sales-management; sales-strategy; sales-presentation; hotel-manager","The Art of Sales: Mastering the Selling Process",3.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[2.9,6.5]","Vietnamese","English","business","business-essentials","fIqQhK0aEeeTdQ7VF-D76g"]
["Sales","Outside Sales","Sales Training: Techniques for a Human-Centric Sales Process","HubSpot Academy","Beginner",10.6,4.58,"https://www.coursera.org/learn/sales-process-techniques-training","This course will teach you an inbound approach to sales that focuses on being helpful, not salesy. By the end of this course, you'll be able to prospect for new business, qualify for high-quality prospects, book meetings with decision makers, handle buyer's objections, and negotiate and close a deal. By following this process, you'll be able to jumpstart your career in sales with tactical tips and advice to run an effective sales playbook.\\n\\nFree accounts you'll need to go through this course:\\n- HubSpot Academy: https://hubs.ly/H0dM-NY0\\n- LinkedIn: https://linkedin.com\\n- Gmail: https://google.com/mail/\\n- About.me: https://about.me/","negotiation; prospecting; planning; sales-strategy; customer; training; communication; sales; meeting; integration-testing","Sales Training for High Performing Teams",2.0,"https://www.coursera.org/specializations/sales-training-high-performing-teams","Sales jobs span nearly every industry, from agribusiness and pharmaceuticals, to telecommunications and property management. And essential to sales is the management of the sales force. This course provides the knowledge and know how required for careers in sales management. Students are exposed to all facets of sales management, including organizing, selecting, training, motivating, supervising and compensating the sales force, territory management and administration and sales and expense forecasting. Also covered are typical sales management problems and potential solutions. As part of the course, you will meet a number of practicing sales managers who share their experience and knowledge. The learning outcomes are:\\n\\n· Develop a plan for organizing, staffing and training a sales force.\\n\\n· Identify the key factors in establishing and maintaining high morale in the sales force.\\n\\n· Develop an effective sales compensation plan.\\n\\n· Evaluate the performance of a sales person.\\n\\n· Organize sales territories to maximize selling effectiveness.\\n\\n· Evaluate sales and sales management strategies in relation to current legal and ethical standards of practice.","[3.9,16]","Romanian; Chinese","English","business","business-essentials","18A7NKrIEee8SA4Rcof82g"]
["Sales","Outside Sales","Content Strategy for Professionals: Engaging Audiences","Northwestern University","Beginner",6.9,4.49,"https://www.coursera.org/learn/engagement-strategy","In this course, professionals at all levels of an organization will learn the best ways to engage an audience they want and need by smartly implementing their important, strategic stories and information and by using proven tools and techniques to enhance an audience’s experiences and interest.\\n\\nContent Strategy is a conversation that provides thought-leadership. It starts a “conversation” with users and stakeholders inside and outside an organization.  Conversations are the natural way people think about complex issues. Conversations also enable people to develop “stories,” which lead to understanding and helpful mental pictures. Content Strategy practitioners are at all levels of the best enterprises – in all departments and sectors from the top leader to the newcomer in the ranks. \\n\\nIn this complex information age, forward-thinking employees know that if they and their organizations are to thrive, they need to go beyond their job descriptions. They must master the most demanding communications frontier – creating engaging, strategic, honest stories and information that is valued by their most important audiences. In turn that will make their enterprise stand out. \\n\\nRegardless of their area of work, position or expertise, Content Strategy practitioners know how to use words, pictures, video, and social and mobile media to interact with their most important constituents with trustable, actionable information that the audience values and will use. The strategic content they produce enhances the user’s lives and deepens their understanding and engagement with the organization.\\n\\nGuest lecturers in this course include:\\n-- Rachel Davis Mersey, Associate Professor, Medill, Northwestern\\n-- Ed Malthouse, Theodore R. and Annie Laurie Sills Professor of Integrated Marketing Communications, Medill, Northwestern\\n-- Bobby Calder, Charles H. Kellstadt Professor of Marketing & Director of the Center for Cultural Marketing, Kellogg, Northwestern\\n-- Steven Duke, Associate Professor, Medill, Northwestern\\n-- Janice Castro, Assistant Professor Emerita, Medill, Nothwestern","content-strategy; experience; persona-user-experience; content-creation; content-marketing; marketing; audience; user-experience; management; integration-testing","Content Strategy for Professionals",1.0,"https://www.coursera.org/specializations/content-strategy","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[4.6,8.5]","NA","English","business","marketing","lDOzNnwOEeSreSIACy-QzA"]
["Sales","Prospecting and Qualification","Connecting with Sales Prospects","Northwestern University","Intermediate",9.1,4.82,"https://www.coursera.org/learn/connecting-with-sales-prospects","In Course Two of the Art of Sales Specialization, you will learn how to run high-impact meetings that create complete separation between you and everyone else your customer comes into contact with. You will learn the importance of asking better questions and how to anticipate and handle sales objections.  Finally, you will learn how to tell powerful stories and to give and receive performance feedback.","sales; goal; sales-management; sales-strategy; storytelling; selling-techniques; running; customer-support; communication","The Art of Sales: Mastering the Selling Process",2.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Content Strategy uses credible, trustworthy, transparent media to communicate stories and information to enhance an organization’s strategic goals. In this Specialization, you’ll learn best practices from recognized industry and academic experts on how to create and implement engaging content across media platforms that the people you want to reach will really value.\\n\\nYou’ll learn how to engage your audience by implementing their stories and using proven tools and techniques to enhance an audience’s experience and interests. You’ll manage content once created by learning how best to tell an organization’s “content story” across media platforms using a human-centered design. You’ll also learn actionable ways to grow internal and external audiences, and expand your content’s reach.\\n\\nThe Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses in response to a real challenge facing organizations today.\\n\\nTo fit easily into busy schedules, the Specialization is constructed as four, three-week courses to better fit into any lifestyle. It is a program for you, as a professional, to master and then be able to use what you learn here and take it back to work. It's knowledge that will improve both your effectiveness, and your organization's.\\n\\nEach of the individual courses can be audited for free. Please note that you will not receive a Certificate of Completion if you choose to audit.","[4.9,10.3]","Vietnamese","English","business","leadership-and-management","UNWZIK0aEeeW_g7ZvVbnJA"]
["Sales","Prospecting and Qualification","Customer Segmentation and Prospecting","Northwestern University","Beginner",8.5,4.73,"https://www.coursera.org/learn/customer-segmentation-prospecting","In Course 1, we set the foundation for the Art of Sales Specialization and offer a new mindset for becoming a high-performer in sales. We will discuss the Knowledge, Skill and Discipline that you need to stand out in your industry, and create a goal for you to reach by the end of the specialization. Finally, you will learn how to talk about yourself and your business. You will build your personal Sales Trailer and learn how to get into and out of sales conversations quickly and effectively.\\n\\nAbout the Specialization: \\nThe purpose of this Specialization is to make you as efficient and effective in selling as possible. You will gain several critical skills and disciplines that will accelerate your success with your small or large company and your life. The ability to sell is a necessity in this world. Whether it’s standing out in a crowd, selling yourself to a new employer, or winning new customers; selling is something we do every day, and we should be great at it! This Specialization is designed as an adventure of discovery. You will be tested, taught and transformed through a series of lectures, discussions and exercises that are designed to push you up and out of your comfort zone. You will learn how to target and acquire customers and get them to fall in love..","prospecting; presentation; sales-presentation; sales-strategy; sales-meetings; email; sales; sales-prospecting; meeting; emailing","The Art of Sales: Mastering the Selling Process",1.0,"https://www.coursera.org/specializations/the-art-of-sales-mastering-the-selling-process","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[5,9.7]","Vietnamese","English","business","business-essentials","OrcFP60ZEee6uBIE_DW6Lg"]
["Sales","Retail Sales","Business Analytics Executive Overview","University of Illinois at Urbana-Champaign","Beginner",14.4,4.51,"https://www.coursera.org/learn/business-analytics-executive-overview","Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. \\n\\nThis course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.","data-lake; materials; google; data-literacy; analytics; business-analytics; web-analytics; data-segment; e-commerce; integration-testing","Non Specialization","Non Specialization","Non Specialization","Close more deals and improve the performance of any sales team. The Art of Sales Specialization is designed to make you more effective and efficient as you pursue your sales goals. Understand how to stand out in the crowd, attract customers, and build support for your initiatives within your company. Knowing how to “get to yes” is a crucial skill that can improve many facets of your life. Prepare to be tested, taught, and transformed as you learn to locate new customers and get great results.","[7,21.9]","NA","English","business","leadership-and-management","lQpeAht8EemDxxJ40YD1SA"]
["Sales","Retail Sales","Marketing Analytics","University of Virginia","Beginner",23.7,4.5,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","experiment; regression-analysis; analytics; analysis; brand; brand-architecture; marketing; stock; marketing-analytics; brand-equity","Non Specialization","Non Specialization","Non Specialization","This specialization is intended for sales professionals at any point in their career, whether they're just starting to apply for sales jobs or leading a global sales organization. Each course follows a sales career progression, from just getting started, to mastering sales, managing sales, and executing an overall business strategy. No matter where you are in your career, this specialization will give you a new perspective on what it's like to be a sales job seeker, individual contributor, manager, and executive.","[15.3,28]","NA","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Sales","Sales Systems","Compensation, Expenses and Quotas","West Virginia University","Advanced",18.5,4.44,"https://www.coursera.org/learn/compensation-expenses-quotas","This course is the third part of the Sales Operations/Management Specialization. In it, we will discuss some of the financial aspects involved in managing a sales force. Students will learn about the options available for sales force compensation, the different types plans you can use to manage your sales expenses, and how you can use quotas to help your salespeople achieve goals.","sales","Sales Operations/Management",3.0,"https://www.coursera.org/specializations/sales-operations","Non Specialization","[8,25.6]","Vietnamese","English","business","leadership-and-management","RTWticZtEeerGhJkyskCRg"]
["Sales","Sales Systems","Sales Force Management","West Virginia University","Advanced",32.9,4.41,"https://www.coursera.org/learn/sales-force-management","The second course in the Sales Operations/Management Specialization, Sales Force Management covers various aspects of hiring and personnel administration. Students will learn about job design and recruitment processes, tools of recruitment, the role of training in sales force development, and motivating salespeople to perform the tasks critical to an organization's success.","sales-management; salesforce; emotional-intelligence-2dot0; sales; customer-relationship-management","Sales Operations/Management",2.0,"https://www.coursera.org/specializations/sales-operations","NA","[14.1,50.2]","Vietnamese","English","business","leadership-and-management","K7t2FcZtEee5ZQq8Yf6s3g"]
["Sales","Strategy","Business Growth Strategy","University of Virginia","Beginner",15.4,4.73,"https://www.coursera.org/learn/uva-darden-business-growth-strategy","Get the tools you need to analyze, evaluate and recommend specific actions organizations can take to grow their value and avoid common growth pitfalls. Learn to determine how best to build value, whether by scaling existing markets, entering established markets or creating new markets through innovation and acquisitions.","strategic-planning; resource; internet; business-strategy; growth-strategies; scenario-planning; innovation; business; market-economics; mergers-and-acquisitions","Business Strategy",3.0,"https://www.coursera.org/specializations/business-strategy","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[10,17.7]","Arabic; Korean","English","business","business-strategy","w5Chgi8hEeWv_w7cMMH1Uw"]
["Sales","Strategy","Models & Frameworks to Support Sales Planning","Fundação Instituto de Administração","Advanced",21.4,4.57,"https://www.coursera.org/learn/models-frameworks-support-sales-planning","Welcome to Course 3 - Models & Frameworks to Support Sales Planning – In this course, you’ll go through a conceptual approach to selling models and frameworks.\\nAs a primary learning outcome of this course, we emphasize the improvement in the analytical competencies and skills to develop sales planning and management. And the learning process goes through the application of the models and frameworks that contribute to supporting these processes.\\nThis course is aimed at professionals who seek improvement in conceptual support to the sales planning process, especially with an emphasis on applying selling models and frameworks methodology.\\nAt this point of the Strategic Sales Management specialization, you have an excellent understanding of the integration of sales planning to the strategy of the company. You also have a vision of major prescriptions and recommendations to support this integration, and proceed to strategic sales planning by applying intelligence analysis.\\nNow, in this course, selling models and frameworks will be discussed, from a conceptual standpoint to add methodological structure into the sales planning process. Therefore, throughout the modules of this course, the subjects discussed will include topics of sales management (module 1), the selling models and frameworks (module 2) that support sales planning, which relates to the hard skills that may be applied. \\nIn the third module of this course, soft skills are brought to the discussion, since they comprise an essential component because sales functions include many aspects of the human interactions.\\nPlease follow the steps of the course, and for academic objectives, we would recommend you to do it in the sequence of modules proposed, though you may take them in a different order.\\nWe look forward to having you during the course modules and lessons.","customer; plan; management; sales-management; sales-strategy; modeling; training; sales; communication; negotiation","Strategic Sales Management",3.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[11.3,21.6]","NA","English","business","business-strategy","CwrcGov8EeePWgqbK9hHyA"]
["Sales","Strategy","Strategic Sales Management Final Project","Fundação Instituto de Administração","Advanced",25.0,4.56,"https://www.coursera.org/learn/ssm-final-project","Welcome to Course 5 – Strategic Sales Management Final Project.\\nIn this course, you’ll develop the final project of the specialization, which is an application of the whole set of concepts, models, frameworks, tools, and techniques discussed and practiced through the four previous courses.\\nA business case provides the business context to serve as the reference to support your analyses regarding strategy, marketing, and sales integration. The case is adapted from a real-life experience. Having developed these analyses, you will follow the project instructions that lead you to the application of the concepts you have learned so far, and proceed to the sales planning processes to support the development of a sales guidelines, which will support the sales planning process in a later moment.\\nThe primary learning outcome of this course is to master concepts application to create sales guidelines, based on a structured analysis of a business case. The sales guidelines serve as the background of a sales plan structure, and they also connect the sales planning process to the strategy, at the same time that supports the development of a sales plan at a later moment. \\nWhereas the sales plan structure may not be a detailed sales plan, it will provide all the aspects necessary to develop the sales plan later. \\nThe project will be peer-reviewed, and the instructions to develop it also bring the rubrics to develop the review.","corporate-bond; strategic-management; project; sales; strategic-analysis; marketing; plan; enabling; management; analysis","Strategic Sales Management",5.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[8,13.9]","NA","English","business","business-strategy","OWg3mYv8EeehKxILU-bnPg"]
["Sales","Strategy","Sales Strategy","Fundação Instituto de Administração","Advanced",18.0,4.51,"https://www.coursera.org/learn/sales-strategy","Welcome to Course 2 - Sales Strategy - This course is designed to discuss the application of intelligence analysis in the sales planning process. And this approach contributes to integrating the sales planning process into the corporate strategy of the company because, in the strategy analysis and formulation process, we apply models, frameworks, tools, and techniques that also apply to the sales planning and management process. \\nTherefore, the expected outcomes of this course focus on the transition from traditional to strategic sales planning, by discussing and applying the concepts recommended to support the development of the strategic guidelines. \\nThe concepts, models, tools, and techniques discussed and practiced during the course focus on the improvement of value creation from the sales function empowered by intelligence analysis, a process which typically applies in the strategy analysis front. \\nThe discussions go through how intelligence analysis can support the sales function, by providing methods to connect strategy to marketing and sales planning processes. \\nIn this course, the primary learning outcome is the ability to apply intelligence analysis to support sales planning process, and by being able to do this, you’ll improve your competencies and skills to support sales planning with a strategic approach. \\nYou’ll develop a final assignment at the end of the course, and it is designed from an adapted real-life business case. The challenges of the case comprise the business context, through which you’ll apply the conceptual framework discussed during Course 2. \\nThe outcomes of your analysis on the assignment case will be evaluated through a peer-review process.","plan; externality; sales; maturity-finance; intelligence-analysis; competitiveness; sales-analytics; analysis; sales-strategy; standard-score","Strategic Sales Management",2.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[12.2,20.8]","NA","English","business","business-strategy","lYVp74v7EeeMexKwGJd-pg"]
["Sales","Strategy","Sales & Marketing Alignment","Fundação Instituto de Administração","Advanced",15.8,4.46,"https://www.coursera.org/learn/sales-marketing-alignment","Welcome to Course 4 – Sales & Marketing Alignment.\\nThis course focus on what is considered by most academics and practitioners as the biggest challenge that sales professionals have to face.\\nAs we discussed in Course 1 – Effective Sales, strategy, and sales must be integrated to support a high potential for value creation through the sales functions. We also mentioned that strategy and sales integration can be supported by marketing functions.\\nThe discussions then went through sales strategy supported by intelligence analysis (Course 2), sales models and frameworks to support sales planning (Course 3).\\nBy the consequence, at this point of this specialization, you are in a good position to go further in the sales planning and management functions. And this is the moment to tackle one of the biggest challenges that most sales professionals must address with diligence – Sales & Marketing Alignment.\\nThe primary learning outcome of this course is to prepare you to apply concepts to support this alignment, with prescriptions and recommendations that contribute to improving the alignment. The improvement in the knowledge, competencies, and skills regarding sales & marketing alignment will contribute to increasing the potential for value creation from a strategic sales planning approach.","fundraising; marketing; strategic-planning; consensus-decision-making; market-economics; intelligence-analysis; checklists; sales; product-business; management","Strategic Sales Management",4.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This specialization takes a critical look at digital advertising tactics for small business. Students will learn how to generate and launch ad campaigns on small budgets with limited-to-no design skills. These courses include: 1) search (Google Ads), 2) social media (Facebook, Instagram and Twitter) and 3) native advertising (Taboola). Students who complete our search course will also gain a résumé credential through the official Google Ads Search Certification and a certification through programmatic advertising leader, The Trade Desk.","[9.5,16.5]","NA","English","business","business-strategy","IXrhpov8EeePrQqzCAEY3A"]
["Strategy and Operations","Best Courses","Strategic management: Be competitive","Macquarie University","Intermediate",8.6,4.97,"https://www.coursera.org/learn/strategic-management-be-competitive","The ability to think strategically in today’s global, high-tech business environment is critical to ensuring your organisation survives – and grows – into the future. By breaking down business strategy and value creation to its essential elements, you’ll develop your strategic thinking skills. And through structured learning activities including video lectures, quizzes, discussion prompts and written assessments you’ll discover how to improve your organisation’s competitiveness. This course focuses on the key principles behind the latest thinking in value co-creation, strategy and marketing, and teaches you how to apply them. By learning how to continuously plan, monitor, analyse and assess all that is necessary for an organisation to meet its goals and objectives, you will be better prepared to take your organisation forward in a viable strategic direction.","organizational-learning; interpretation; supply-chain; consumer-choice; thought; chaining; supply-chain-management; strategic-management; learning; management","Strategising: Management for Global Competitive Advantage",4.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[5.2,11.4]","NA","English","business","business-strategy","TT_oxZB0EeiQHw5xPJAuLA"]
["Strategy and Operations","Best Courses","Global Strategy II: Doing Business in The Global Economy","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.92,"https://www.coursera.org/learn/global-strategy-two","This course explores the ways firms overcome challenges when operating globally. The global economy is characterized for its high complexity and uncertainty.  Corporations trying to succeed in the global economy need to develop different types of strategies depending on where they are conducting business or what type business they are in.  Students taking this course will learn how to determine the best strategy to follow when expanding globally, the advantages and disadvantages of those strategies, and the appropriate responses to external pressures. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","salary; global-value-chain; market-share; chaining; global; sustainability; retirement; professional; value-chain; cost","Global Challenges in Business",4.0,"https://www.coursera.org/specializations/global-challenges-business","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[5,16.8]","Arabic","English","business","business-strategy","H99pHHXuEeaWkA5VwsyIdw"]
["Strategy and Operations","Best Courses","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Strategy and Operations","Best Courses","Global Strategy I: How The Global Economy Works","University of Illinois at Urbana-Champaign","Intermediate",16.2,4.82,"https://www.coursera.org/learn/global-strategy","Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were not short of formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not mean political, cultural, and economic convergence and that forces against it are strong.\\n\\nThis course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how we got here and why it matters\\n•\\tUnderstand the complexities of the current globalization (not all countries are the same)\\n•\\tEvaluate the effects of international trade regulations on international business\\n•\\tEvaluate when and why should we operate as multinationals\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","technology-strategy; business-economics; trading; economics; economy; global; reason; international-finance; securities-research; foreign-direct-investment","Global Challenges in Business",3.0,"https://www.coursera.org/specializations/global-challenges-business","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[7.2,23.4]","Arabic","English","business","business-strategy","9LVz3HXtEeaisA57vr8X4Q"]
["Strategy and Operations","Best Courses","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Strategy and Operations","Best Courses","Corporate Strategy","University of London","Intermediate",14.5,4.76,"https://www.coursera.org/learn/corporatestrategy","Corporate strategy is the strategy a firm uses to compete across multiple businesses. Many small firms want to grow by entering new businesses. Many large firms already are in multiple businesses, e.g. a photo camera producer selling also sunglasses. \\n\\nWe developed this course to help you make good corporate strategy decisions. Of the many decisions a firm has to make, corporate strategy decisions are among the most consequential. We will look at these key corporate strategy decisions:\\n- Diversification: How and which businesses should your firm enter?\\n- Divestiture: How and from which businesses should your firm exit?\\n- Corporate HQ: How should we organize corporate headquarters to create value across the different businesses?","strategic-management; marketing-strategy; headquarters; business-strategy; diversification-marketing-strategy; divestment; marketing; analysis; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,21.7]","NA","English","business","business-strategy","wHbDKS72EeamIRKe7Ylq9w"]
["Strategy and Operations","Best Courses","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Strategy and Operations","Best Courses","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Strategy and Operations","Best Courses","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["Strategy and Operations","Best Courses","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["Strategy and Operations","Business Process Management","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Strategy and Operations","Business Process Management","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","analytics; process; business-analytics; data-uri-scheme; business-process; business-analysis; data-analysis; analysis; risk; management","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[9.1,15.6]","Chinese; Korean; Arabic","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["Strategy and Operations","Business Process Management","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["Strategy and Operations","Change Management","Leading Change in Health Informatics","Johns Hopkins University","Advanced",19.0,4.91,"https://www.coursera.org/learn/leading-change-health-informatics","Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine. \\n\\nWhether you're a nurse, pharmacist, physician, other allied health professional or come from a non-clinical background--you know that Health Informatics skills are in demand. This newly launched 5-course specialization by JohnsHopkins faculty members provides a solid foundation for anyone wanting to become a leader in  one of the hottest fields in healthcare. \\n\\nAs health informaticians, we need to be very clear in our understanding of the current state (as-is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use. \\n\\nBy the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations. ","change-management; health-informatics; cost; workflow; management","Health Informatics",2.0,"https://www.coursera.org/specializations/health-informatics","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[12.7,31.6]","NA","English","life-sciences","health-informatics","jePrjEQ1Eeim3goWHozWuA"]
["Strategy and Operations","Change Management","Leadership and Emotional Intelligence","Indian School of Business","Advanced",12.1,4.74,"https://www.coursera.org/learn/emotional-intelligence-in-leadership","The digital age is dramatically reshaping the rules for organizational success. The new context demands renewal of your capabilities and development of different mindsets.  In this course, you’ll learn the different components of emotional intelligence at work. For example, you’ll learn how you can work effectively in teams, build cooperative relationships with your key stakeholders, exercise effective influence, handle difficult conversations, and create energy and enthusiasm to foster meaningful change. Our modules will begin with powerful stories that are illustrative of typical challenges faced by front-line leaders. We’ll analyze the case illustration using the ideas from emotional intelligence theory, and highlight the key lessons that you should take away in terms of mindsets and skills that you should master to distinguish yourself as a leader.","communication; management; emotional-intelligence; delegation; active-listening; leadership; change-management; listening; negotiation; emotional-competence","Business Technology Management",5.0,"https://www.coursera.org/specializations/business-technology-managment","This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in international business.\\n\\nIf completed successfully, you may be able to use your certificate from this specialisation as part of the application process for the University of London Global MBA.\\n\\nThis Specialisation is endorsed by CMI.","[7.2,15.3]","Arabic","English","business","leadership-and-management","9E7syCLvEeayOhJvUh2IzQ"]
["Strategy and Operations","Change Management","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Strategy and Operations","Change Management","Applications of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.74,"https://www.coursera.org/learn/everyday-leadership-application","This course covers the following topics: negotiation, feedback and coaching, conflict management, and leading change. The objectives are to learn how to use leadership skills to work more effectively with others, how to use leadership skills to organize others to work more effectively together, and to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nLearners:\\n•\\tWill be able to negotiate effectively and influence others\\n•\\tProvide feedback and coaching that is appropriate and influential\\n•\\tWill be able to manage conflict and lead change\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; communication; performance-management; leadership; leadership-development; arbitration; decision-making; change-management; performance; negotiation","Strategic Leadership and Management",2.0,"https://www.coursera.org/specializations/strategic-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[7.3,13.5]","NA","English","business","leadership-and-management","jlxKwZz9EeWIXgpWJNgyEw"]
["Strategy and Operations","Change Management","Conversations That Inspire: Coaching Learning, Leadership and Change","Case Western Reserve University","Advanced",16.5,4.72,"https://www.coursera.org/learn/leadership-coaching","Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.","leadership; life-coaching; life-coaches; active-listening; change-management; listening; compassion; emotional-intelligence; management; coaching","Inspired Leadership",3.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[10.9,20.4]","Spanish","English","business","leadership-and-management","yBXw74emEeWRYRLoE9jCoQ"]
["Strategy and Operations","Change Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Non Specialization","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Strategy and Operations","Change Management","Management Skills for International Business","University of London","Intermediate",19.1,4.64,"https://www.coursera.org/learn/management-skills-international-business","This course focuses on a range of management techniques. You’ll discover the main skills and competencies of effective leaders, and how to distinguish between management and leadership. The course will cover team dynamics, how to build effective relationships, key motivation theories, and how to use communication to best effect.\\n\\nThis course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. \\n\\nIf completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.\\n\\nThis course is endorsed by CMI","motivation; communication; delegation; change-management; nonverbal-communication; leadership; management-styles; mathematical-optimization; team-management; management","International Business Essentials",2.0,"https://www.coursera.org/specializations/mba","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[10.3,24.4]","NA","English","business","leadership-and-management","xiJGs05kEeagxwr1Kg22cw"]
["Strategy and Operations","Change Management","Leading transformations: Manage change","Macquarie University","Intermediate",16.8,4.56,"https://www.coursera.org/learn/change-management","We live in a globalised world of continuous change. Your ability to successfully manage change will allow you to have a positive impact on your work and your life. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessment) this course will teach you how to effectively influence change by developing a ‘change mindset’, creating a productive change cycle, and leading yourself and others on the change journey. You will learn how to re-imagine change by redefining the change problem and developing a balanced and reflective change mindset. Change is inevitable but you can influence how it affects your organisation.","change-management; leadership; corporate-governance; social-skills; strategic-thinking; presentation; organization-development; analysis; public-speaking; management","Influencing: Storytelling, Change Management and Governance",1.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[9.8,19.2]","NA","English","business","leadership-and-management","reFNTKW0Eeis9hK3qadDqA"]
["Strategy and Operations","Contract Management","Engineering Project Management: Risk, Quality, Teams, and Procurement","Rice University","Advanced",19.8,4.75,"https://www.coursera.org/learn/project-risk-quality-management","Many Project Managers focus only on the scope, schedule and budget.  However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one.  During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study.\\n\\nBy the end of this course you will be able to:\\n\\n•\\tIdentify positive and negative risks\\n•\\tDevelop risk strategies\\n•\\tPerform a qualitative risk analysis\\n•\\tIdentify cost contingencies and reserves\\n•\\tDevelop a quality plan\\n•\\tIdentify quality standards\\n•\\tUtilize cause and effect tools \\n•\\tCreate a prioritization matrix\\n•\\tDevelop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities\\n•\\tDevelop a procurement plan that includes contracts and incentives\\n\\nAll of this will position you to understand the more intangible aspects of project management to drive better overall performance.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\n*PMI and PMP are registered marks of the Project Management Institute, Inc.","risk-management-plan; risk; project-management; procurement; project; plan; risk-analysis; analysis; management; risk-management","Engineering Project Management",3.0,"https://www.coursera.org/specializations/engineering-project-management","Non Specialization","[6.2,33.2]","NA","English","business","leadership-and-management","lZrHPHT_EeaudA5QhlNglQ"]
["Strategy and Operations","Contract Management","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Strategy and Operations","Customer Success","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Strategy and Operations","Customer Success","Relationship Management","Rice University","Beginner",18.5,4.7,"https://www.coursera.org/learn/relationship-management","To be a successful engineer, you must work and play well with others. This course focuses on developing the skills you will need to build and sustain professional relationships and networks. Learn to coach and mentor others, manage conflict and build power and influence in the workplace.","leadership-development; engineering-management; meeting; leadership; customer-relationship-management; project-management; sales; management; collaboration; communication","Leadership Development for Engineers",2.0,"https://www.coursera.org/specializations/leadership-development-engineers","Non Specialization","[7.2,31.8]","Vietnamese","English","business","leadership-and-management","sRAtPGhtEeab8hJTez1v6w"]
["Strategy and Operations","Operations Management","Electric Industry Operations and Markets","Duke University","Beginner",16.7,4.79,"https://www.coursera.org/learn/electricity","This is a two week course. In the first week you will learn about the core activities that the Industry executes to bring electricity to customers. We will review what electricity is, how it is generated, how it is transmitted, how it comes into buildings, and how consumption of electricity instantly feeds back on the transmission and generation of electricity. You will learn to:\\nDefine what electricity is;\\nDescribe how electricity is generated, transmitted and distributed;\\nDescribe how electricity is generated, transmitted and distributed; and\\nSummarize how the consumption of electric energy instantly feeds back on the transmission and generation of electricity.\\n\\n\\nIn the second week, the course shifts to the markets that drive Electric Industry operations. You will learn about the various costs of the electric industry’s core activities, how electricity is priced, the various ways that electric markets are structured, how these market structures determine which power plants are dispatched to produce electricity when, and how recent changes in generator fuel prices, generation technology, market regulations, and environmental regulations are transforming both Electric Industry Markets and Operations. You will learn to:\\nDescribe the main cost components to the electric system;\\nCompare the costs of different types of power plants;\\nInterpret the retail pricing of electricity; \\nExplain the different types of electric markets and understand how they operate to dispatch electric supply to meet demand in real time; and\\nExplain why and how the electric industry is regulated.","electrical-engineering; generation; studentized-residual; learning; energy-markets; marketing; renewable-energy; market-economics; operations-management; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.1,26.3]","Spanish","English","physical-science-and-engineering","environmental-science-and-sustainability","9iW9MyKnEeapkBKJ0Y_FqQ"]
["Strategy and Operations","Operations Management","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Strategy and Operations","Operations Management","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Strategy and Operations","Operations Management","Supply Chain Principles","Georgia Institute of Technology","Beginner",17.9,4.62,"https://www.coursera.org/learn/supply-chain-principles","This course will provide a solid understanding of what a supply chain is all about. The course:\\n- Provides an introduction to Supply Chain \\n- Leverages graphics to promote the Integrated Supply Chain model\\n- Emphasizes understanding the Extended Supply Chain\\n- Presents a holistic approach – Incorporating People, Process, and Technology  \\n- Calls-out industry-specific supply chain\\n- Leverages discussions, videos, quizzes, and questions for consideration\\n- Provides awareness of career path opportunities\\n- Presents emerging and futuristic trends in supply chain\\nand given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.\\n\\nThe course incorporates reading materials that were developed as part of a $24.5M TAACCCT grant awarded by the U.S. Department of Labor’s Employment and Training Administration to the LINCS in Supply Chain Management  consortium.","planning; warehouse-management; supply-chain; supply-chain-management; supply-chain-network; transporting; procurement; chaining; management; principle","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,27.9]","NA","English","business","business-essentials","YrbKHF42Eea2uw7FUMTxlQ"]
["Strategy and Operations","Operations Management","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["Strategy and Operations","Operations Management","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["Strategy and Operations","Operations Management","Scaling Operations: Linking Strategy and Execution","Northwestern University","Beginner",14.7,4.47,"https://www.coursera.org/learn/operations-strategy","UPDATE FEBRUARY 2020: Scaling Operations: Linking Strategy and Execution will close for new learner enrollment on February 26, 2020. \\n\\n----\\nOver the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.\\n\\nScaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy.\\n\\nEach week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization.","scaling; process-management; enterprise-system; systems-thinking; estimation; management; process; strategic-management; asset; operations-management","Non Specialization","Non Specialization","Non Specialization","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.9,18.3]","NA","English","business","business-strategy","Cil8XPTgEeSlpiIAC7NwBA"]
["Strategy and Operations","Operations Research","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","NA","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Strategy and Operations","Operations Research","Process Mining: Data science in Action","Eindhoven University of Technology","Beginner",35.0,4.78,"https://www.coursera.org/learn/process-mining","Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.\\n\\nData science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as \"data science in action\".\\n\\nThe course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.\\n\\nThis course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.\\n\\nThe course covers the three main types of process mining.\\n\\n1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log.\\n\\n2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa.\\n\\n3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases.\\n\\nProcess mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between \"business\" and \"IT\". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development.\\n\\nThe course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field.\\n\\nAfter taking this course you should:\\n- have a good understanding of Business Process Intelligence techniques (in particular process mining),\\n- understand the role of Big Data in today’s society,\\n- be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,\\n- be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),\\n- be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),\\n- be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),\\n- have a good understanding of the data needed to start a process mining project,\\n- be able to characterize the questions that can be answered based on such event data,\\n- explain how process mining can also be used for operational support (prediction and recommendation), and\\n- be able to conduct process mining projects in a structured manner.","conformance-checking; data-segment; data-uri-scheme; process-modeling; petri-net; netting; modeling; process-mining; process; data-mining","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.7,47.7]","NA","English","data-science","data-analysis","SN5tm_tBEeScRyIAC3-PxA"]
["Strategy and Operations","Operations Research","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Strategy and Operations","Operations Research","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Strategy and Operations","People Management","Grow Your Business with Goldman Sachs 10,000 Women","Goldman Sachs","Beginner",4.9,4.87,"https://www.coursera.org/learn/gs10kw","Welcome to Grow Your Business with Goldman Sachs 10,000 Women.\\n\\nGoldman Sachs 10,000 Women is a global initiative that fosters economic growth by providing women business owners around the world with business and management education, mentoring and networking, and access to capital.\\n\\nThis introductory business course has been developed from the face-to-face program which has enabled over 10,000 women to see immediate and sustained business growth. It is designed for women business owners, running established businesses operating for more than one year, to provide the practical tools and skills required to help you grow your business. The course will enable you to develop your understanding of the three key ingredients of growth potential: you, your business, and your opportunity. \\n\\nThrough focused and tailored exercises, you will assess the strengths and weaknesses of your business and yourself as a business leader. You will also identify and refine your key opportunities for business growth. As you complete the course, you will be connecting with like-minded business owners from around the world. The course will provide you with a unique forum to share your experiences, and provide support and advice to others. \\n\\nWhat can you do after this introductory course?\\n\\nOnce you finish this introductory course, you will have the opportunity to continue your learning journey with 10,000 Women through a further 10 weeks of online learning.\\n\\nThe innovative 10-week course covers a full range of business topics from your leadership style and management structure to resource allocation and operational efficiency. You will build on what you learn in the introductory course and analyze the growth of your business further through the creation of a Business Growth Plan (BGP). The BGP is a strategic and tactical implementation tool designed to guide your business’s growth and help you to communicate your opportunity, vision, and ideas to your team, stakeholders, and customers.\\n\\nUpon successfully completing the two courses, you will be able to join the 10,000 Women alumni community and connect with a global network of past participants.","plan; decision-making; strategic-thinking; business-strategy; business-analysis; business-analytics; confidence; management; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[2.1,6.5]","Chinese","English","business","entrepreneurship","UDOU-36EEeebcBJbr9YsJg"]
["Strategy and Operations","People Management","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Strategy and Operations","People Management","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Strategy and Operations","Performance Management","Preparing to Manage Human Resources","University of Minnesota","Beginner",18.2,4.77,"https://www.coursera.org/learn/managing-human-resources","One way or another, all employees are managed. But approaches to managing employees varying from employee-to-employee, job-to-job, manager-to-manager, organization-to-organization, and country-to-country. This course provides a foundation for developing your own approach to skillfully managing employees by illustrating alternative human resource management (HRM) strategies, introducing the importance of the legal context, and thinking about what motivates employees. This will then give you the factual and conceptual basis for developing specific, critical HRM skills in subsequent courses on hiring employees, managing performance, and rewarding employees. Don't know anything about HRM? That's OK! Leave this course with a new-found understanding of the range of options available for managing employees, a grasp of what makes workers tick, and the readiness to develop your own HRM skills.","resource; resource-management; human-resource-management; law; employment; management-styles; hr-strategy; human-resources; leadership; management","Human Resource Management: HR for People Managers",1.0,"https://www.coursera.org/specializations/human-resource-management","Accelerate your career by improving your project management skills. This Specialization delivers a rigorous exploration of the best practices for planning and delivering these major engineering projects. You’ll learn about the measures of success, how to resolve challenges of governance and typical financing approaches of these projects.\\n\\nIf you are an engineer or a project manager and you aspire to get involved with major engineering projects, or you are already working on one, then this Specialization is for you.\\n\\nMaster your project management skills and prepare to develop your career in engineering.\\n\\nThis specialization is based on content from the Online MSc in Engineering Management. If you interested to develop your career further, take a look at our online degree.","[11.5,22]","Vietnamese; Korean; Arabic","English","business","leadership-and-management","5D-g-HEiEeWKsgrp3VnvAw"]
["Strategy and Operations","Performance Management","Applications of Everyday Leadership","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.74,"https://www.coursera.org/learn/everyday-leadership-application","This course covers the following topics: negotiation, feedback and coaching, conflict management, and leading change. The objectives are to learn how to use leadership skills to work more effectively with others, how to use leadership skills to organize others to work more effectively together, and to apply the foundations of effective leadership skills to everyday situations faced by leaders.\\n\\nLearners:\\n•\\tWill be able to negotiate effectively and influence others\\n•\\tProvide feedback and coaching that is appropriate and influential\\n•\\tWill be able to manage conflict and lead change\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","management; communication; performance-management; leadership; leadership-development; arbitration; decision-making; change-management; performance; negotiation","Strategic Leadership and Management",2.0,"https://www.coursera.org/specializations/strategic-leadership","In this Specialization, you will learn the essential skills to coach people for improved performance. You will learn from Executive Coach and UC Davis Instructor Kris Plachy, who has created and transformed dozens of teams through coaching. She will share best practices, research, tools and models for coaching effectively. You will learn how effective managers use coaching to establish clear expectations and accountability, how to assess performance, and how to conduct coaching conversations that build awareness and get results. Throughout the courses, you will apply insights about management and coaching to develop your own coaching practice and tools.","[7.3,13.5]","NA","English","business","leadership-and-management","jlxKwZz9EeWIXgpWJNgyEw"]
["Strategy and Operations","Performance Management","Setting Expectations & Assessing Performance Issues","University of California, Davis","Beginner",11.7,4.71,"https://www.coursera.org/learn/coaching-expectations-performance","If you don’t know where you are going, any road will take you there. One of the most important roles of a manager is to ensure everyone knows the destination. The most effective managers set expectations and assess their employees’ performance against those expectations, and take a coaching approach to helping them get to the destination. That’s exactly what you’ll learn to do in this course!\\n\\nYou will explore how to collaboratively develop expectations with those you lead. When you encounter expectations that are not being met, you’ll learn how to use \"Coaching Algebra\" to determine the underlying issues that are impeding performance, and how to respond as a manger-coach.  \\n\\nWe look forward to you joining us as we explore these essential coaching topics!","listening; performance-indicator; algebra; performance; performance-management; management; leadership; relative-change-and-difference; integration-testing; coaching","Coaching Skills for Managers",2.0,"https://www.coursera.org/specializations/coaching-skills-manager","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[7.3,13.5]","NA","English","business","leadership-and-management","82sYmnQ8EeWKsgrp3VnvAw"]
["Strategy and Operations","Performance Management","Giving Helpful Feedback","University of Colorado Boulder","Beginner",9.3,4.71,"https://www.coursera.org/learn/feedback","This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork.\\n\\nGiving feedback is a skill which develops over time. We give you a process you can use to improve your feedback skills and deliver it with confidence. You will find that there is a scientific basis for many of your observations and intuitions about feedback—such as, it is hard to give correctly, people don’t like it, and more. This will be reassuring as you learn how to overcome these difficulties. We hope you have a fantastic time becoming a better manager!","leadership; professional; building-relationships; performance; integration-testing; management; communication; performance-management; coaching; staff-management","Non Specialization","Non Specialization","Non Specialization","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[4,12.3]","German; French; Spanish; Italian; Arabic","English","business","business-essentials","HUJ11BnoEeWg_RJGAuFGjw"]
["Strategy and Operations","Performance Management","Managing Employee Performance","University of Minnesota","Beginner",14.9,4.69,"https://www.coursera.org/learn/employee-performance","Once you have hired good employees, the next step that successful people managers take is to develop the full potential of their employees.  Performance management is a process that helps managers achieve the goal of getting the best from their employees. \\n\\nIn this third course in the Human Resources for People Managers specialization,  we will discuss the skills and key processes you will need to develop your employees to attain department and organizational goals.  These skills will include setting clear expectations, providing positive and corrective feedback, and delivering an effective performance appraisal.","resource; employment; performance-appraisal; performance; performance-management; human-resources; human-resource-management; organizational-culture; management; integration-testing","Human Resource Management: HR for People Managers",3.0,"https://www.coursera.org/specializations/human-resource-management","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[9.6,18]","Arabic; Vietnamese; Korean","English","business","business-essentials","4BkqMnE8EeWxvQr3acyajw"]
["Strategy and Operations","Performance Management","Managing Employee Compensation","University of Minnesota","Intermediate",14.6,4.65,"https://www.coursera.org/learn/compensation-management","Whether you're writing paychecks or wondering where yours comes from, this course is for you! \\n\\nWe begin by asking: \"To succeed, what kind of a person does your organization need to attract, retain, and motivate?\" From there, we'll explain how to align your organization's objectives, its pay philosophy, and ultimately the way it designs and implements its salary structure, short-term incentives, long-term incentives, and benefits. \\n\\nInterested in learning more about the technical aspects of compensation, but don't know where to begin? We'll give an overview of key the key technical skills: compliance with pay regulations, understanding stock options, shopping for health insurance and pension providers, and designing incentive plans. Lastly, we'll discuss non-monetary methods of motivating employees. \\n\\nUpon completing the course, you should be able to have an understanding of compensation both strategically and technically. Learners will also gain introductory familiarity with pay regulation in the US.","compensation-and-benefits; human-resource-management; resource; management; employment; performance; incentive; resource-management; human-resources; compensation-strategies","Human Resource Management: HR for People Managers",4.0,"https://www.coursera.org/specializations/human-resource-management","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[9.3,17.9]","Vietnamese","English","business","business-essentials","qoYa6HE8EeWi0g6YoSAL-w"]
["Strategy and Operations","Performance Management","Recruiting, Hiring, and Onboarding Employees","University of Minnesota","Beginner",18.0,4.63,"https://www.coursera.org/learn/recruiting-hiring-onboarding-employees","Finding and hiring the right people is often cited as the number one concern of businesses today. It seems we are all competing for the best and brightest workers.  As you will see in our time together in the second course, a critical component of the People Manager Value Proposition is to hire talented people who enable the organization to achieve its strategic goals. This course is an introduction into the topic of recruitment, selection and onboarding. \\n\\nAt the outset of the course we will explore the importance of linking recruitment goals with overall company strategy. We then look at a number of options to recruit and select employees both effectively and legally. Throughout the course we will examine current issues in talent acquisition, such as how companies are now leveraging social media and hiring analytics to ensure better quality hires.\\n\\nAt the conclusion of the course, we look at how to onboard employees to promote employee commitment and engagement.","recruiting; management; resource-management; resource; employee-selection; image-resolution; employment; onboarding; human-resources; recruitment","Human Resource Management: HR for People Managers",2.0,"https://www.coursera.org/specializations/human-resource-management","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[12.1,21.6]","Korean; Vietnamese","English","business","business-essentials","_Mms-nE8EeWKsgrp3VnvAw"]
["Strategy and Operations","Performance Management","Strategy Implementation","Copenhagen Business School","Intermediate",16.4,4.61,"https://www.coursera.org/learn/strategy-implementation","Even a thoroughly developed business strategy may fail if you don't pay enough attention to its implementation. This rings particularly true with strategies based on innovation or implemented in complex or fast-changing environments.\\n\\nIn the 20th century successful implementation leveraged stability and typically proceeded through hierarchy and control. Today the key is to stay vibrant and able to quickly respond to trends in competition and technology while not losing sight of the strategic objective. In this course we'll build a toolbox of techniques to execute today's business strategies to help them succeed.\\n\\nAfter completing this course, you'll be able to:\\n- Create objectives and goals to guide strategy implementation\\n- Identify organizational structures that fit particular strategies\\n- Understand how to leverage company culture in implementation\\n- Describe how to communicate the strategy so that the organization \"gets\" it\\n- Detect and mitigate risks to implementation","strategy-implementation; communication; planning; strategic-planning; performance-management; performance; strategic-management; business-strategy; management; integration-testing","Strategic Management and Innovation",3.0,"https://www.coursera.org/specializations/strategic-management","Non Specialization","[9.9,19.5]","Romanian","English","business","business-strategy","iXq6zSWTEeWs4gorU6Q1Yw"]
["Strategy and Operations","Performance Management","The Manager's Toolkit: A Practical Guide to Managing People at Work","University of London","Beginner",10.0,4.6,"https://www.coursera.org/learn/people-management","The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. \\n\\nAt the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.","interview; conflict-resolution; organizational-conflict; performance; decision-making; performance-management; resource; human-resources; leadership; management","Non Specialization","Non Specialization","Non Specialization","This Specialization explores the evolving world of business strategy, focusing on the increasingly important roles of design, user experience, and innovation in shaping competitive advantage. You’ll learn about concepts such as goal setting, value creation, global integration, and diversification, and you’ll critique classic theories and frameworks in the context of new business realities. In the final Capstone Project, you’ll create and defend a holistic business strategy in response to a realistic case study prompt.","[5.5,12.6]","NA","English","business","leadership-and-management","Wv_qFVYzEeWKXg4Y7_tPaw"]
["Strategy and Operations","Performance Management","Managing Talent","University of Michigan","Intermediate",15.7,4.42,"https://www.coursera.org/learn/managing-talent","In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees. In addition, you will learn how to develop and coach your talent so that they can realize their full potential at work. Altogether, you will gain a thorough understanding of the complete cycle of managing talent and creating a robust talent pipeline for your team and organization.\\n\\nManaging and developing talent is one of the top 3 issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. This course will provide you with the insights, frameworks and tools to effectively manage and develop talent in your teams and organizations.","resource-management; performance; resource; talent-management; human-resources; employment; onboarding; coaching; management; recruitment","Leading People and Teams",2.0,"https://www.coursera.org/specializations/leading-teams","Do you have people reporting to you that need managing? Or perhaps you want to consider a career in human resources? Or freshen up your HR knowledge?\\n\\nThis specialization provides a robust introduction to the key principles, policies, and practices of human resource management. The specialization begins with a foundational course that considers alternative approaches to managing human resources, provides a background to the U.S. legal context in which employees are hired, fired, rewarded, and managed, and outlines the different reasons that people are motivated to work. The remaining three courses tackle three core areas that all managers should understand: hiring employees, evaluating their performance, and rewarding them. Throughout the courses, an accessible, scientific approach is embraced such that best practices and practical tips are informed by research, but presented in accessible, applied ways.\\n\\nUpon completing the specialization, learners will have a deeper understanding of what works in the workplace, including a toolkit of best practices for hiring, managing, and rewarding employees.\\n\\nThe specialization will be valuable for managers and entrepreneurs taking on these responsibilities as well as anyone else interested in the fundamental principles of human resource management. The Capstone Project will provide an opportunity to apply this knowledge to a real situation, including your own organization or work unit if desired.","[10.3,21.1]","Russian; Chinese; Vietnamese","English","business","leadership-and-management","we5nljlYEeWO-Qq6rEZAow"]
["Strategy and Operations","Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.72,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","software-development; software; requirements-management; requirements-analysis; user-story; requirements-elicitation; agile-software-development; use-case; software-requirements; management","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.3]","Korean; Greek","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["Strategy and Operations","Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","planning; software-development; risk; finger-protocol; agile-software-development; software; plan; agile-management; project; management","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.9]","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Strategy and Operations","Product Management","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Strategy and Operations","Product Management","Agile Meets Design Thinking","University of Virginia","Beginner",15.6,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","design-thinking; user-experience; agile-software-development; software; user-story; experience; storyboarding; software-development; persona-user-experience; management","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[10.5,17.7]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Strategy and Operations","Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","management; kanban; process; software-development; scrum-software-development; agile-software-development; unified-process; lean-software-development; software; software-development-process","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Strategy and Operations","Product Management","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Strategy and Operations","Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","project-management; software-metrics; finger-protocol; software-project-management; software-development; project; software; product-business; product-management; management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","Non Specialization","[5.3,18]","NA","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["Strategy and Operations","Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.53,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","product-business; software-development; agile-software-development; agile-manifesto; finger-protocol; software-product-management; software; product-management; management; product","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[2.9,7.5]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["Strategy and Operations","Project Management","Major Engineering Project Performance","University of Leeds","Advanced",14.0,4.78,"https://www.coursera.org/learn/major-engineering-project-performance","Manage large projects by identifying their key characteristics, examining the key factors and risks that affect their performance and exploring methods to counter their impact on the successful delivery of projects.\\n\\nLooking into examples of best practice, you'll explore the relationship between projects, programmes and portfolios.  You'll also discover the roles performed by the project manager, examine the difficulties associated with quantifying transaction costs in major project management and consider how different management approaches impact on these costs. Optimism bias and strategic misinterpretation regularly cause delays to major engineering projects. Using stimulating case studies, you'll evaluate the measures of success and compare and contrast 'project success' versus 'project management success'. In the final week of the course, you'll research and present a contemporary example of a major engineering project from your own country. \\n\\nThis course explores concepts analysed in the University’s Online MSc in Engineering Management. If you are interested to develop your skills further, take a look at our online degree.","health-systems-engineering; mechanical-engineering; engineering-projects; engineering-management; project; performance; microsoft-project; project-management; evaluation; management","Managing Major Engineering Projects",1.0,"https://www.coursera.org/specializations/managing-major-engineering-projects","Non Specialization","[7.9,18.1]","Portuguese","English","physical-science-and-engineering","mechanical-engineering","L4Xna-PlEee-fQpFZdil5A"]
["Strategy and Operations","Project Management","Construction Project Management","Columbia University","Beginner",33.7,4.76,"https://www.coursera.org/learn/construction-project-management","Construction Project Management introduces you to Project Initiation and Planning. Industry experts join Columbia University professor, Ibrahim Odeh, to give an overview of the construction industry. \\n\\nProfessor Odeh teaches the fundamentals of the Project Development Cycle while guest lecturers discuss Lean Project Delivery method and Lean Design Behaviors. \\n\\nTechnological advances, such as Building Information Modeling, will be introduced with real world examples of the uses of BIM during the Lifecycle of the Project. The course concludes with Professor Odeh discussing the importance of project planning and scheduling and an opportunity to develop a Work Breakdown Structure.","project-management; work-breakdown-structure; project-plan; construction-management; planning; building-information-modeling; project-planning; project; plan; management","Construction Management",1.0,"https://www.coursera.org/specializations/construction-management","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[18.4,56.8]","NA","English","business","business-strategy","OmP4nwi9EeajCxI_63r-IQ"]
["Strategy and Operations","Project Management","Engineering Project Management: Risk, Quality, Teams, and Procurement","Rice University","Advanced",19.8,4.75,"https://www.coursera.org/learn/project-risk-quality-management","Many Project Managers focus only on the scope, schedule and budget.  However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one.  During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study.\\n\\nBy the end of this course you will be able to:\\n\\n•\\tIdentify positive and negative risks\\n•\\tDevelop risk strategies\\n•\\tPerform a qualitative risk analysis\\n•\\tIdentify cost contingencies and reserves\\n•\\tDevelop a quality plan\\n•\\tIdentify quality standards\\n•\\tUtilize cause and effect tools \\n•\\tCreate a prioritization matrix\\n•\\tDevelop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities\\n•\\tDevelop a procurement plan that includes contracts and incentives\\n\\nAll of this will position you to understand the more intangible aspects of project management to drive better overall performance.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\n*PMI and PMP are registered marks of the Project Management Institute, Inc.","risk-management-plan; risk; project-management; procurement; project; plan; risk-analysis; analysis; management; risk-management","Engineering Project Management",3.0,"https://www.coursera.org/specializations/engineering-project-management","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[6.2,33.2]","NA","English","business","leadership-and-management","lZrHPHT_EeaudA5QhlNglQ"]
["Strategy and Operations","Project Management","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Strategy and Operations","Project Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Non Specialization","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Strategy and Operations","Project Management","Engineering Project Management: Initiating and Planning","Rice University","Beginner",24.4,4.66,"https://www.coursera.org/learn/initiating-planning","The goal of the course is to give you the tools to initiate a project plan, manage both stakeholders and relationships, organize their team, develop a project charter, and build a business case for a project. \\n\\nBy the end of this course you will be able to:\\n \\n-  Perform a project assessment using information from previous projects and lessons learned\\n-  Identify key deliverables based on business requirements while managing customer expectations\\n-  Perform a stakeholder analysis and create a management plan\\n-  Analyze and develop a project organization\\n-  Create a project charter\\n-  Explain the business case for a project and calculate Net Present Value\\n-  Inform stakeholders of the charter and ensure all parties know the deliverables and expectations\\n \\nAs part of the course, you will prepare organization charts, create a Stakeholder Register, and write a Project Charter based on an engineering project in a provided Case Study.  The Stakeholder Register will outline the key parties to the project, their concerns and how you will manage their expectations.  Your Project Charter will provide the key guidance your team needs to understand the scope, requirements and purpose for the project.\\n \\nAll of this will position you for initiating and planning your first project and/or understanding how you can maximize your contributions on your next project team.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\nPMI and PMP are registered marks of the Project Management Institute, Inc.","project-charter; project-plan; plan; planning; project; project-management; project-planning; stakeholder-analysis; project-stakeholder; management","Engineering Project Management",1.0,"https://www.coursera.org/specializations/engineering-project-management","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[12.2,41.9]","NA","English","business","leadership-and-management","xM7O-XSMEeaf3xKPGtjggQ"]
["Strategy and Operations","Project Management","Engineering Project Management: Scope, Time and Cost Management","Rice University","Advanced",29.9,4.66,"https://www.coursera.org/learn/scope-time-management-cost","Scope, time, and cost management are at the heart of successful project management. This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Throughout the course, you will learn about change management and techniques to implement it. \\n\\nBy the end of this course  you will be able to:\\n\\n•\\tCreate a requirements document\\n•\\tCreate a Project Scope Statement\\n•\\tIdentify ways to control the scope of the project\\n•\\tDecompose the work and develop work packages\\n•\\tCreate a Work Breakdown Structure\\n•\\tDevelop a Critical Path Schedule\\n•\\tReview types of cost estimates and identify whether they are “top down or bottom up”\\n•\\tReview budgets, contingencies and reserves\\n•\\tCalculate planned and earned values to compare with actual cost\\n•\\tPerform a cost and schedule analysis\\n\\nEach week you will prepare a key deliverable for the project plan based on a provided Case Study.  These deliverables include:\\n\\n•\\tProject Scope Statement\\n•\\tProject Work Breakdown Structure (WBS) and WBS dictionary\\n•\\tCritical Path schedule sequence diagram\\n•\\tBar Chart Schedule (Gantt Chart)\\n•\\tProject Cost Estimate\\n•\\tProject Status using an Earned Value Calculation\\n\\nAll of this will position you to set up a plan to control your next assignment or your next project whether this is as the project manager or as an area leader.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\nPMI and PMP are registered marks of the Project Management Institute, Inc.","management; project; project-management; earned-value-management; estimation; schedule; cost; planning; scope-project-management; project-cost-management","Engineering Project Management",2.0,"https://www.coursera.org/specializations/engineering-project-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","[12.9,51.8]","NA","English","business","leadership-and-management","_ylKU3T-Eeatvg5z1JaMJw"]
["Strategy and Operations","Project Management","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","estimation; schedule; project; budget-estimation; budget; schedule-project-management; project-management; planning; management; cost","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[2.7,6.3]","Arabic; Vietnamese; Russian","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["Strategy and Operations","Project Management","Initiating and Planning Projects","University of California, Irvine","Beginner",7.5,4.63,"https://www.coursera.org/learn/project-planning","The courses in the Introduction to Project Management Principles and Practices Specialization are a recommended precursor to UCI's Applied Project Management Certificate. \\n\\nSuccessful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the key characteristics of a project\\n2.       Identify primary project constraints\\n3.       Define the role and responsibilities of the project manager\\n4.       Identify Project Organizational Structures\\n5.       Understand the definition of a Project Stakeholder\\n6.       Identify project stakeholders\\n7.       Identify information needs of the project stakeholders\\n8.       Define responsibility for managing stakeholder and controlling stakeholder engagement\\n9.       Define the purpose of using a project charter\\n10.     Summarize the key elements of a project plan\\n11.     Identify common sources of conflict within a project environment\\n12.     Describe the difference between authority and influence","project; planning; plan; resource; project-management; project-plan; project-planning; project-charter; communication; management","Project Management & Other Tools for Career Development",1.0,"https://www.coursera.org/specializations/project-management-success","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[4,9.3]","Vietnamese; Spanish; Croatian; Arabic; Catalan","English","business","leadership-and-management","iRBJm_LREeSplSIACzYDNg"]
["Strategy and Operations","Project Management","Project Management: The Basics for Success","University of California, Irvine","Beginner",9.2,4.45,"https://www.coursera.org/learn/project-management-basics","This course combines the essential elements of Project Management and Team Leadership into one course. Through class engagement and reflection, you will acquire further understanding of the responsibilities of leadership and become better prepared to apply this knowledge to the project environment.\\n\\nUpon completing this course, you will be able to:\\n1.       Learn about the role of high performance teams and leadership in project management\\n2.       Learn about the tools and techniques for developing and strengthening high performance teams and team members\\n3.       Learn about the stages in project cycle\\n4.       Apply best practices to develop competencies and skills in planning and controlling projects to ensure successful outcomes\\n5.       Learn how to monitor project activities and assess progress\\n6.       Learn to communicate proficiently to report project status and performance to stakeholders and contribute to organizational knowledge base","planning; project-planning; project-management; team-management; management; project-plan; plan; leadership; project; communication","Career Success",1.0,"https://www.coursera.org/specializations/career-success","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[4.9,11.9]","Korean; Portuguese; Arabic; Vietnamese","English","business","leadership-and-management","PLnREdJzEeSeOiIACzWBkQ"]
["Strategy and Operations","Project Management","IT Project Management","Indian School of Business","Beginner",10.3,4.35,"https://www.coursera.org/learn/it-project-management","The concepts and use of project management tools, techniques and methodologies are becoming all pervasive. This course addresses project management in the context of IT projects, including software projects. Using the framework of project life cycle, the course covers various aspects pertaining to (i) project initiation, (ii) project planning and scheduling, (iii) project monitoring and control, and (iv) project termination. For planning and scheduling of projects, the use of project network and estimation of time and cost are covered in detail.  Scheduling of projects with resource limitations is covered next.\\n\\nRisk assessment methods including simulation and risk reduction approaches are also be covered. The students will be required to use the software @risk to simulate project completion times. The use of Earned Value Analysis for Project Monitoring and Control is emphasized. For Software Project Management, the Waterfall Model and Agile Project Management are covered in detail.","project-management; project-planning; program-evaluation-and-review-technique; planning; project; risk; project-plan; agile-management; risk-management; management","Business Technology Management",4.0,"https://www.coursera.org/specializations/business-technology-managment","This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. The Specialization concludes with a Capstone project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses to your individual and organizational needs.","[6.1,12.2]","NA","English","business","business-strategy","w_suTyKnEeauCw5n3ibpNQ"]
["Strategy and Operations","Strategy","Strategic management: Be competitive","Macquarie University","Intermediate",8.6,4.97,"https://www.coursera.org/learn/strategic-management-be-competitive","The ability to think strategically in today’s global, high-tech business environment is critical to ensuring your organisation survives – and grows – into the future. By breaking down business strategy and value creation to its essential elements, you’ll develop your strategic thinking skills. And through structured learning activities including video lectures, quizzes, discussion prompts and written assessments you’ll discover how to improve your organisation’s competitiveness. This course focuses on the key principles behind the latest thinking in value co-creation, strategy and marketing, and teaches you how to apply them. By learning how to continuously plan, monitor, analyse and assess all that is necessary for an organisation to meet its goals and objectives, you will be better prepared to take your organisation forward in a viable strategic direction.","organizational-learning; interpretation; supply-chain; consumer-choice; thought; chaining; supply-chain-management; strategic-management; learning; management","Strategising: Management for Global Competitive Advantage",4.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Non Specialization","[5.2,11.4]","NA","English","business","business-strategy","TT_oxZB0EeiQHw5xPJAuLA"]
["Strategy and Operations","Strategy","Global Strategy II: Doing Business in The Global Economy","University of Illinois at Urbana-Champaign","Intermediate",12.0,4.92,"https://www.coursera.org/learn/global-strategy-two","This course explores the ways firms overcome challenges when operating globally. The global economy is characterized for its high complexity and uncertainty.  Corporations trying to succeed in the global economy need to develop different types of strategies depending on where they are conducting business or what type business they are in.  Students taking this course will learn how to determine the best strategy to follow when expanding globally, the advantages and disadvantages of those strategies, and the appropriate responses to external pressures. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","salary; global-value-chain; market-share; chaining; global; sustainability; retirement; professional; value-chain; cost","Global Challenges in Business",4.0,"https://www.coursera.org/specializations/global-challenges-business","Non Specialization","[5,16.8]","Arabic","English","business","business-strategy","H99pHHXuEeaWkA5VwsyIdw"]
["Strategy and Operations","Strategy","Business Strategies for Emerging Markets","National Research University Higher School of Economics","Advanced",74.5,4.85,"https://www.coursera.org/learn/business-strategies","The course aims to transfer the fundamental knowledge and to form the basic competencies necessary for the development and the implementation of a business strategy in an emerging market.\\n\\nThe students are going to improve their analyzing, decision making, and planning skills as well as the ability to recognize strategic opportunities and threats.\\n\\nThe course requires the knowledge of basic economics concepts as the pre-requisite. It is preferable that the students have some practical entrepreneurial or marketing experience, but this is not obligatory.\\n\\nThe course has a distinct stress to the practice of strategic management. Although a few fundamental theories are mentioned, the bulk of the ideas are based on simple though efficient applied model that are easy to understand and convenient to use. The multitude of examples and stories from the personal consulting and managerial experience of the author are the hallmark of the course. The author’s original drawings make the key concepts well memorable ad cozy to deal with.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","management; modeling; strategy-implementation; sales-strategy; strategic-business-unit; sales; market-economics; strategic-management; emerging-markets; business-strategy","Non Specialization","Non Specialization","Non Specialization","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[18.6,119.4]","NA","English","business","business-strategy","5zyvy5abEeafIQpJGWIzpg"]
["Strategy and Operations","Strategy","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Strategy and Operations","Strategy","Global Strategy I: How The Global Economy Works","University of Illinois at Urbana-Champaign","Intermediate",16.2,4.82,"https://www.coursera.org/learn/global-strategy","Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were not short of formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not mean political, cultural, and economic convergence and that forces against it are strong.\\n\\nThis course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how we got here and why it matters\\n•\\tUnderstand the complexities of the current globalization (not all countries are the same)\\n•\\tEvaluate the effects of international trade regulations on international business\\n•\\tEvaluate when and why should we operate as multinationals\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","technology-strategy; business-economics; trading; economics; economy; global; reason; international-finance; securities-research; foreign-direct-investment","Global Challenges in Business",3.0,"https://www.coursera.org/specializations/global-challenges-business","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[7.2,23.4]","Arabic","English","business","business-strategy","9LVz3HXtEeaisA57vr8X4Q"]
["Strategy and Operations","Strategy","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["Strategy and Operations","Strategy","Market and Competition in Pricing Strategy","University of Virginia","Advanced",17.8,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-market-competition","If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.","pricing; market-economics; competitiveness; price-war; pricing-strategies; game-theory; market-segmentation; customer; price-discrimination; competition-economics","Pricing Strategy Optimization",3.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","Non Specialization","[10.5,18.8]","NA","English","business","marketing","yqbsd4DiEea0rRKMrzxAVw"]
["Strategy and Operations","Strategy","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","Non Specialization","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Strategy and Operations","Strategy","Strategic Business Management - Macroeconomics","University of California, Irvine","Intermediate",40.7,4.8,"https://www.coursera.org/learn/strategic-business-management-macroeconomics","This course weds business strategy with the principles of macroeconomics. It offers valuable a powerful toolbox together with cases and lessons across all major functions of business, management, from finance, operations management, and marketing to human resource management, organizational behavior, statistics, and, of course, business strategy.","inflation; monetary-policy; public-administration; fiscal-policy; finance; government-budget-balance; demand; budget; management; trading","Non Specialization","Non Specialization","Non Specialization","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[24.1,61.6]","NA","English","business","business-strategy","fn8bXXezEeeobg7O-NRcDA"]
["Strategy and Operations","Strategy","Corporate Strategy","University of London","Intermediate",14.5,4.76,"https://www.coursera.org/learn/corporatestrategy","Corporate strategy is the strategy a firm uses to compete across multiple businesses. Many small firms want to grow by entering new businesses. Many large firms already are in multiple businesses, e.g. a photo camera producer selling also sunglasses. \\n\\nWe developed this course to help you make good corporate strategy decisions. Of the many decisions a firm has to make, corporate strategy decisions are among the most consequential. We will look at these key corporate strategy decisions:\\n- Diversification: How and which businesses should your firm enter?\\n- Divestiture: How and from which businesses should your firm exit?\\n- Corporate HQ: How should we organize corporate headquarters to create value across the different businesses?","strategic-management; marketing-strategy; headquarters; business-strategy; diversification-marketing-strategy; divestment; marketing; analysis; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[7,21.7]","NA","English","business","business-strategy","wHbDKS72EeamIRKe7Ylq9w"]
["Strategy and Operations","Strategy","Business Strategy","University of Illinois at Urbana-Champaign","Intermediate",17.3,4.76,"https://www.coursera.org/learn/strategy-business","In this course you will learn how organizations create, capture, and maintain value, and how it is fundamental for sustainable competitive advantage. You will be able to better understand value creation and capture, and learn the tools to analyze both competition and cooperation from a variety of perspectives, including the industry level (e.g., five forces analysis), and the firm level (e.g., business models and strategic positioning). \\n\\n•\\tUnderstand how managers coordinate different functional areas, resources, and systems inside a company and align them with the external environment to enhance overall performance\\n•\\tKnowledge of strategic management tools and frameworks, and apply them to real business contexts Process diverse business and industry information to diagnose strategic issues, evaluate strategic alternatives, and formulate a coherent and actionable strategic plan\\n•\\tHow to think like a CEO, entrepreneur, or general manager.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","strategic-thinking; strategic-analysis; competitive-advantage; modeling; business-model; strategic-management; competitiveness; business-strategy; analysis; management","Strategic Leadership and Management",5.0,"https://www.coursera.org/specializations/strategic-leadership","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[10.8,19.8]","NA","English","business","business-strategy","OJkRmJz-EeW6bw4ogk2HGQ"]
["Strategy and Operations","Strategy","Business Growth Strategy","University of Virginia","Beginner",15.4,4.73,"https://www.coursera.org/learn/uva-darden-business-growth-strategy","Get the tools you need to analyze, evaluate and recommend specific actions organizations can take to grow their value and avoid common growth pitfalls. Learn to determine how best to build value, whether by scaling existing markets, entering established markets or creating new markets through innovation and acquisitions.","strategic-planning; resource; internet; business-strategy; growth-strategies; scenario-planning; innovation; business; market-economics; mergers-and-acquisitions","Business Strategy",3.0,"https://www.coursera.org/specializations/business-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[10,17.7]","Arabic; Korean","English","business","business-strategy","w5Chgi8hEeWv_w7cMMH1Uw"]
["Strategy and Operations","Strategy","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",16.8,4.73,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","innovation; open-innovation; innovation-leadership; planning; strategic-thinking; leadership; innovation-management; management; entrepreneurship; disruptive-innovation","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[8.3,26.2]","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["Strategy and Operations","Strategy","Advanced Business Strategy","University of Virginia","Intermediate",12.9,4.72,"https://www.coursera.org/learn/uva-darden-advanced-business-strategy","Advance your strategic analysis skills in this follow-up to Foundations of Business Strategy. In this course, you'll learn the tools to analyze strategy across time (competitive dynamics), industries ( corporate strategy), geographies (international strategy), and institutions (non-market strategy). We'll introduce the tools you need to complete a comprehensive evaluation and understand the strategy dynamics of an industry: Competitive Lifecycle, Internationalization and Stakeholder Analyses, and Diversification Matrices.","management; business-strategy; strategic-planning; strategic-analysis; strategic-thinking; internationalization-and-localization; strategic-management; competitiveness; ordered-pair; analysis","Business Strategy",2.0,"https://www.coursera.org/specializations/business-strategy","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[7.8,15.2]","Arabic; Korean","English","business","business-strategy","lU03py8hEeWPngoW78wA_Q"]
["Strategy and Operations","Strategy","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","This Specialization explores the evolving world of business strategy, focusing on the increasingly important roles of design, user experience, and innovation in shaping competitive advantage. You’ll learn about concepts such as goal setting, value creation, global integration, and diversification, and you’ll critique classic theories and frameworks in the context of new business realities. In the final Capstone Project, you’ll create and defend a holistic business strategy in response to a realistic case study prompt.","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Strategy and Operations","Strategy","Advanced Competitive Strategy","Ludwig-Maximilians-Universität München (LMU)","Intermediate",16.7,4.64,"https://www.coursera.org/learn/advanced-competitive-strategy","Advanced Competitive Strategy will introduce new topics and modules with even more real world examples and opportunities for student interaction than in the previous course Competitive Strategy (https://www.coursera.org/learn/competitivestrategy).\\n \\nIn Advanced Competitive Strategy, we will look at how companies can build up and maintain their customer base by increasing switching costs and facilitating strategic customer lock-ins. We will find out how firms can increase their profits by pursuing suitable price discrimination and product differentiation strategies.\\n \\nWe will look at examples of what is acceptable behavior under the premises of EU competition and US antitrust policies and discover exciting ways of how companies can increase their returns by strategically making use of network effects and economies of size. We will further intensify our newly acquired knowledge about network effects and discuss strategies that are explicitly tailored to network markets.\\n \\nWe will analyze the workings of mergers and acquisitions and, moreover, support you in considering alternative strategies that can help companies grow organically.","pricing; market-economics; switching-barriers; mergers-and-acquisitions; strategic-management; marketing; pricing-strategies; competitiveness; analysis; management","Competitive Strategy and Organization Design",2.0,"https://www.coursera.org/specializations/competitive-strategy","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8,21]","Portuguese; Spanish; Chinese; Arabic","English","business","business-strategy","H3HGeBK4EeS0RyIACp5OCg"]
["Strategy and Operations","Strategy","Strategy Implementation","Copenhagen Business School","Intermediate",16.4,4.61,"https://www.coursera.org/learn/strategy-implementation","Even a thoroughly developed business strategy may fail if you don't pay enough attention to its implementation. This rings particularly true with strategies based on innovation or implemented in complex or fast-changing environments.\\n\\nIn the 20th century successful implementation leveraged stability and typically proceeded through hierarchy and control. Today the key is to stay vibrant and able to quickly respond to trends in competition and technology while not losing sight of the strategic objective. In this course we'll build a toolbox of techniques to execute today's business strategies to help them succeed.\\n\\nAfter completing this course, you'll be able to:\\n- Create objectives and goals to guide strategy implementation\\n- Identify organizational structures that fit particular strategies\\n- Understand how to leverage company culture in implementation\\n- Describe how to communicate the strategy so that the organization \"gets\" it\\n- Detect and mitigate risks to implementation","strategy-implementation; communication; planning; strategic-planning; performance-management; performance; strategic-management; business-strategy; management; integration-testing","Strategic Management and Innovation",3.0,"https://www.coursera.org/specializations/strategic-management","Non Specialization","[9.9,19.5]","Romanian","English","business","business-strategy","iXq6zSWTEeWs4gorU6Q1Yw"]
["Strategy and Operations","Vendor Management","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Strategy and Operations","Vendor Management","Supply Chain Management: A Learning Perspective","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",21.7,4.61,"https://www.coursera.org/learn/supply-chain-management","As a human being, we all consume products and/or services all the time. This morning you got up and ate your breakfast, e.g., eggs, milk, bread, fresh fruits, and the like. After the breakfast, you drove your car to work or school. At your office, you used your computer, perhaps equipped with 27” LCD monitor. During your break, you drank a cup of coffee and played with your iPhone. So on and so forth. You probably take it for granted that you can enjoy all of these products. But if you take a closer look at how each of these products can be made and eventually delivered to you, you will realize that each one of these is no short of miracle. For example, which fruit do you like? Consider fresh strawberries. In order for the strawberries to be on your breakfast table, there must be numerous functions, activities, transactions, and people involved in planting, cultivating, delivering, and consuming strawberries. Moreover, all of these functions, activities, transactions, and people are connected as an integral chain, through which physical products like strawberries themselves and virtual elements such as information and communication flow back and forth constantly. By grouping related functions or activities, we have a supply chain, comprised of four primary functions such as supplier, manufacturer, distributor, and finally consumer. A supply chain is essentially a value chain. \\n\\nFor the society or economy as a whole, the goal is to maximize value, i.e., to create satisfactory value without spending too much. In order to create the maximum value for the strawberry supply chain, every participant in the chain must carry out its function efficiently. In addition, all of the members must coordinate with each other effectively in order to ensure value maximization. We have to face the same issues for almost all the products and services we take for granted in our everyday life, e.g., cars, hamburgers, haircuts, surgeries, movies, banks, restaurants, and you name it! \\n\\nIn this course, we want to understand fundamental principles of value creation for the consumers or the market. We try to answer questions like how the product or service is made, how the value-creating activities or functions are coordinated, who should play what leadership roles in realizing all these, and so on. As our course title hints, we approach all of these issues from a learning perspective, which is dynamic in nature and emphasizes long-term capability building rather than short-term symptomatic problem solving.","supply-chain; product-business; value-chain; inventory; process; supply-chain-management; chaining; supply-chain-risk-management; product-development; management","Non Specialization","Non Specialization","Non Specialization","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[13.8,23.4]","NA","English","business","business-strategy","-1YwAnTLEeSjmyIAC0aXFg"]
["Strategy and Operations","Vendor Management","Translation quality management","National Research Tomsk State University","Beginner",23.7,4.5,"https://www.coursera.org/learn/management-translation-quality","Professional translation is a complex process that usually involves collaboration of multiple people. The course will show you how to build this process correctly: analyze content, determine requirements and risks, select appropriate jobs and vendors, evaluate translation quality. \\n\\nYou will know why user manuals should not be translated in the same way as you would translate promotional or legal documents. You will see why every content type requires a special translation approach and learn to prioritize quality blocks during project planning. This course will also teach you to select translators and editors based on the content analysis, so your projects could always stay within budget and deadlines.\\n\\nThis course is based on the Palex’s corporate educational program. Since 2014, it has already helped us train dozens of localization and translation quality managers for our company. Now we want to share these knowledge and experience with the entire community of the translation industry. \\n\\nAlong with the theoretical knowledge, you will also get skills that can be applied to your work right away. All the lectures are accompanied with tests that will help you understand the topics, and every module comes with a practical exercise that is based on the real-world situation.\\n\\nThe aim of the course is to present the expertise of Palex in the field of localization and translation, packaging the corporate training program into an online format.","translation; video-game-localization","Non Specialization","Non Specialization","Non Specialization","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","[15.6,27.7]","NA","English","business","leadership-and-management","XJTlzwB_EeqTyBJ8MlZJWQ"]
["Supply Chain and Logistics","Best Courses","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Best Courses","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Supply Chain and Logistics","Best Courses","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Supply Chain and Logistics","Best Courses","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Supply Chain and Logistics","Best Courses","Supply Chain Management Strategy","Rutgers the State University of New Jersey","Intermediate",16.5,4.73,"https://www.coursera.org/learn/supply-chain-management-strategy","Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain.  This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.","supply-chain-management; supply-chain-sourcing; chaining; planning; sources; supply-chain-strategy; risk; supply-chain; supply-chain-risk-management; management","Supply Chain Management",5.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[10.4,20.9]","Vietnamese","English","business","business-strategy","_yBsbgzOEeaX4g6xdats6w"]
["Supply Chain and Logistics","Best Courses","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Supply Chain and Logistics","Best Courses","Construction Cost Estimating and Cost Control","Columbia University","Intermediate",46.8,4.65,"https://www.coursera.org/learn/construction-cost-estimating","This course introduces the types of cost estimation from the conceptual design phase through the more detailed design phase of a construction project. In addition, the course highlights the importance of controlling costs and how to monitor project cash flow. Students will work on a break-even analysis of construction tasks in a project.","cost-estimate; flow-network; cost; estimation; earned-value-management; cost-control; project; cash-flow-management; cash-flow; management","Construction Management",3.0,"https://www.coursera.org/specializations/construction-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[18.4,80.3]","NA","English","business","business-strategy","A0_iymMnEea_8A7Guyve4Q"]
["Supply Chain and Logistics","Best Courses","Engineering Project Management: Risk, Quality, Teams, and Procurement","Rice University","Advanced",19.8,4.75,"https://www.coursera.org/learn/project-risk-quality-management","Many Project Managers focus only on the scope, schedule and budget.  However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one.  During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study.\\n\\nBy the end of this course you will be able to:\\n\\n•\\tIdentify positive and negative risks\\n•\\tDevelop risk strategies\\n•\\tPerform a qualitative risk analysis\\n•\\tIdentify cost contingencies and reserves\\n•\\tDevelop a quality plan\\n•\\tIdentify quality standards\\n•\\tUtilize cause and effect tools \\n•\\tCreate a prioritization matrix\\n•\\tDevelop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities\\n•\\tDevelop a procurement plan that includes contracts and incentives\\n\\nAll of this will position you to understand the more intangible aspects of project management to drive better overall performance.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\n*PMI and PMP are registered marks of the Project Management Institute, Inc.","risk-management-plan; risk; project-management; procurement; project; plan; risk-analysis; analysis; management; risk-management","Engineering Project Management",3.0,"https://www.coursera.org/specializations/engineering-project-management","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[6.2,33.2]","NA","English","business","leadership-and-management","lZrHPHT_EeaudA5QhlNglQ"]
["Supply Chain and Logistics","Best Courses","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Supply Chain and Logistics","Best Courses","Supply Chain Analytics","Rutgers the State University of New Jersey","Beginner",7.4,4.72,"https://www.coursera.org/learn/supply-chain-analytics","Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance!\\n\\nA supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to\\n\\n1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. \\n2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. \\n3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.\\n\\nVASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market.\\n\\nI hope you enjoy the course!","plan; planning; supply-chain-analytics; supply-chain-management; inventory; chaining; analytics; supply-chain; supply-chain-planning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.3,9.8]","NA","English","business","business-essentials","jdACZjPZEem9Dgr58Fwmmg"]
["Supply Chain and Logistics","Customer Support","IBM Customer Engagement Specialist Professional Certificate","IBM","Advanced",30.0,4.78,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","rapport; customer; problem-solving; time-management; process; customer-engagement; customer-support; customer-service; communication; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.5,55.2]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["Supply Chain and Logistics","Facility Management","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Facility Management","Global Environmental Management","Technical University of Denmark (DTU)","Intermediate",15.6,4.65,"https://www.coursera.org/learn/global-environmental-management","Learn about the best environmental technologies for a sustainable development and how they are managed in various settings around the world. This course gives you an opportunity to learn about global trends that influence our environment and the living conditions and how different management systems and approaches that are used around the world to manage the environment. This includes current environmental technologies built for the environment and technologies for sustainable soil management, groundwater protection methods and integrated Water resources management.","water-resource-development; environmental-management; natural-resources; urban-planning; resource; green-technology; planning; environmental-protection; sustainability; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,20.2]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","b-UZI43PEeWTzg6WBWinhQ"]
["Supply Chain and Logistics","Facility Management","Environmental Management & Ethics","Technical University of Denmark (DTU)","Intermediate",19.7,4.64,"https://www.coursera.org/learn/environmental-management-ethics","Decision-makers often turn to scientists and engineers to assist them to navigate through complex environmental, health and societal challenges pervaded by systemic uncertainty, ambiguity and ethical implications. \\n\\nThis course prepares you to meet the requests and demands of current and future decision-makers and in this course, you will analyze ethical challenges associated with environmental dilemmas and apply different decision making tools relevant to environmental management and regulation.","decision-making; ethics; environmental-protection; environmental-management; pollution; quality-control; management; sustainability; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,27.5]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","-quiqGbJEeW0sAqIx1_alQ"]
["Supply Chain and Logistics","Inventory Management","Accounting for Decision Making","University of Michigan","Advanced",30.5,4.79,"https://www.coursera.org/learn/accounting","Through this course, you will start by addressing the two “big questions” of accounting: “What do I have?” and “How did I do over time?” You will see how the two key financial statements – the balance sheet and the income statement - are designed to answer these questions and then move on to consider how individual transactions aggregate to make up these financial statements. After developing a broad understanding of accounting and financial statements, you will begin to develop a more nuanced understanding of individual components of doing business, such as making a sale or building inventory.  By considering many of the more common actions of a company, you will build your understanding of accounting, and explore these concepts by applying them across various types of transactions. Once you understand these individual concepts better, you will be ready to return to the overall financial statements and use them as informational tools, including building ratios.\\n\\nYou can do this course standalone or to qualify for the residential component of the Finance for Strategic Decision-Making Executive Education program.  For more information, see the FAQ below.","income; finance; revenue-recognition; accounting; income-statement; cash-flow; flow-network; balance-sheet; accrual; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.2,45.6]","Arabic","English","business","finance","jKPQqR3tEeeiqhJIrotY7g"]
["Supply Chain and Logistics","Inventory Management","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions.\\n\\nIn this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Supply Chain and Logistics","Inventory Management","Understanding Financial Statements: Company Position","University of Illinois at Urbana-Champaign","Beginner",8.1,4.72,"https://www.coursera.org/learn/financial-statements","This course is designed to provide a basic understanding of financial statements with an emphasis on the balance sheet. However, to understand accounting driven financial statements, it is important to recognize that accounting is less about counting and more about measuring. “What is it that is being measured?” Well, as the course unfolds, you will learn about the three measurement questions and how the balance sheet helps to answer the first two of these questions. By touring a real company and interviewing real business people, the course describes the basic content of financial statements in a simple yet relevant context. The goal of the course is to leave a lasting impression about what balance sheet consists of and what it reveals. The next course in the Fundamentals of Accounting Specialization completes the conversation by addressing the remaining measurement question.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tDescribe the purpose of a balance sheet.\\n•\\tDefine the three components of a balance sheet.\\n•\\tRecognize and understand the meaning of several items typically presented on a balance sheet. \\n•\\tExplain the broader purpose of financial statements and the role of accounting in producing the financial statements.\\n•\\tRead and, to some extent, interpret real-world balance sheets.\\n\\nIf you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","accounting; balance-sheet; income-statement; finance; financial-statement; accounting-terminology; interpretation; ordered-pair; learning; income","Fundamentals of Accounting",1.0,"https://www.coursera.org/specializations/accounting-fundamentals","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[4.8,9.1]","NA","English","business","business-essentials","2g7bdO-KEeWTgg7cwVeSqQ"]
["Supply Chain and Logistics","Inventory Management","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Inventory Management","Supply Chain Management: A Learning Perspective","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",21.7,4.61,"https://www.coursera.org/learn/supply-chain-management","As a human being, we all consume products and/or services all the time. This morning you got up and ate your breakfast, e.g., eggs, milk, bread, fresh fruits, and the like. After the breakfast, you drove your car to work or school. At your office, you used your computer, perhaps equipped with 27” LCD monitor. During your break, you drank a cup of coffee and played with your iPhone. So on and so forth. You probably take it for granted that you can enjoy all of these products. But if you take a closer look at how each of these products can be made and eventually delivered to you, you will realize that each one of these is no short of miracle. For example, which fruit do you like? Consider fresh strawberries. In order for the strawberries to be on your breakfast table, there must be numerous functions, activities, transactions, and people involved in planting, cultivating, delivering, and consuming strawberries. Moreover, all of these functions, activities, transactions, and people are connected as an integral chain, through which physical products like strawberries themselves and virtual elements such as information and communication flow back and forth constantly. By grouping related functions or activities, we have a supply chain, comprised of four primary functions such as supplier, manufacturer, distributor, and finally consumer. A supply chain is essentially a value chain. \\n\\nFor the society or economy as a whole, the goal is to maximize value, i.e., to create satisfactory value without spending too much. In order to create the maximum value for the strawberry supply chain, every participant in the chain must carry out its function efficiently. In addition, all of the members must coordinate with each other effectively in order to ensure value maximization. We have to face the same issues for almost all the products and services we take for granted in our everyday life, e.g., cars, hamburgers, haircuts, surgeries, movies, banks, restaurants, and you name it! \\n\\nIn this course, we want to understand fundamental principles of value creation for the consumers or the market. We try to answer questions like how the product or service is made, how the value-creating activities or functions are coordinated, who should play what leadership roles in realizing all these, and so on. As our course title hints, we approach all of these issues from a learning perspective, which is dynamic in nature and emphasizes long-term capability building rather than short-term symptomatic problem solving.","supply-chain; product-business; value-chain; inventory; process; supply-chain-management; chaining; supply-chain-risk-management; product-development; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[13.8,23.4]","NA","English","business","business-strategy","-1YwAnTLEeSjmyIAC0aXFg"]
["Supply Chain and Logistics","Inventory Management","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["Supply Chain and Logistics","Inventory Management","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","analytics; process; business-analytics; data-uri-scheme; business-process; business-analysis; data-analysis; analysis; risk; management","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","Non Specialization","[9.1,15.6]","Chinese; Korean; Arabic","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["Supply Chain and Logistics","Operational Analysis","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Supply Chain and Logistics","Operational Analysis","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","NA","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Supply Chain and Logistics","Operational Analysis","Supply Chain Management Strategy","Rutgers the State University of New Jersey","Intermediate",16.5,4.73,"https://www.coursera.org/learn/supply-chain-management-strategy","Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain.  This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.","supply-chain-management; supply-chain-sourcing; chaining; planning; sources; supply-chain-strategy; risk; supply-chain; supply-chain-risk-management; management","Supply Chain Management",5.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[10.4,20.9]","Vietnamese","English","business","business-strategy","_yBsbgzOEeaX4g6xdats6w"]
["Supply Chain and Logistics","Operational Analysis","Supply Chain Analytics","Rutgers the State University of New Jersey","Beginner",7.4,4.72,"https://www.coursera.org/learn/supply-chain-analytics","Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance!\\n\\nA supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to\\n\\n1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. \\n2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. \\n3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.\\n\\nVASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market.\\n\\nI hope you enjoy the course!","plan; planning; supply-chain-analytics; supply-chain-management; inventory; chaining; analytics; supply-chain; supply-chain-planning; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[4.3,9.8]","NA","English","business","business-essentials","jdACZjPZEem9Dgr58Fwmmg"]
["Supply Chain and Logistics","Operational Analysis","Supply Chain Analytics Essentials","Rutgers the State University of New Jersey","Intermediate",22.6,4.62,"https://www.coursera.org/learn/supply-chain-analytics-essentials","Welcome to Supply Chain Analytics - an exciting and emerging area that is in high demand! \\n\\nIn this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area of Supply chain analytics where supply chain management meets data analytics. You will learn real life stories and examples on how analytics can apply to various domains of a supply chain, from sell, to move, make and source, to generate a significant social and / or economic impact. You will also learn about job market trend, job requirement and preparation. Lastly, you will master a data analysis technique to assess the efficiency of a supply chain. Supply Chain Analytics is a relatively new and fast developing area. Thus this course is by no mean exhaustive nor should you expect to be an expert upon completion. My goal of this course is to open the eyes of the learners to the impact of Supply Chain Analytics, and hopefully this will encourage you to learn more.\\n\\nUpon completing this course, you will\\n\\n1. Understand why analytics is critical to today’s supply chains\\n2. See the pain points of a supply chain and how analytics can be applied to address them\\n3. Understand the requirement of supply chain analytics jobs, and how to prepare for them\\n4. Assess a company’s overall supply chain efficiency quantitatively\\n\\nI hope you enjoy the course!","cash-conversion-cycle; procurement; demand; supply-chain-analytics; chaining; analytics; supply-chain; supply-chain-management; lambda-calculus; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8.9,38.3]","NA","English","business","business-essentials","mVWg308AEeirJwpxYInHrA"]
["Supply Chain and Logistics","Operational Analysis","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["Supply Chain and Logistics","Planning","Action-Driven Business Plan: From the ‘Classroom’ to the World","Technion - Israel Institute of Technology","Beginner",14.8,5.0,"https://www.coursera.org/learn/startup-entrepreneurship-capstone","Action-Driven Business Plan: From the ‘Classroom’ to the World is a capstone project, that requires you, our learner, to pull together all you will have learned in the three courses that comprise the \"Startup Entrepreneurship\" Specialization. This course is in fact the culmination of the process designed to provide you with the opportunity to demonstrate what you have learned on a real-world project of your choice.\\n\\nDuring the following six weeks you will gradually create, improve and refine your business plan, moving from one milestone to another. Each week will begin with a short note from Prof. Maital, explaining what the current phase is about and providing you with points to consider while working on the assignments.  We encourage you to practice what you have learned using the self-assessment practice quizzes and brainstorm with your peers in the weekly forums.\\n\\nDuring the first week you will create a non-business plan as an initial step towards creating your business plan. In weeks two, three and five, you will be required to submit three assignments for peer evaluation, which will help you to prepare your final business plan. At the end of the course you will prepare and submit your completed business plan and an effective two-minute video describing your idea. Your business plan will include the following sections:  The Need, the Product, Unique Features, The Market and Future Developments, a Gantt chart and a project budget.","plan; gantt-chart; project; business-plan; technical-analysis; product-business; writing","Startup Entrepreneurship",4.0,"https://www.coursera.org/specializations/startup-entrepreneurship","In this specialization you will learn how to create societal impact through Social Entrepreneurship. Social Entrepreneurship describes the discovery and sustainable exploitation of opportunities to create social change. We will introduce you to examples of Social Entrepreneurship and guide you through the process of establishing a venture to address a social or environment problem. You will form of team and study a problematic issue to learn more about the source of the problem. We will equip you with frameworks identifying opportunities, support your team, and outlining your idea. You will develop your idea and iterate on your business model throughout the Specialization, and conclude with completing a business plan.","[9.4,18.2]","Romanian","English","business","entrepreneurship","tQKglHsBEeWb-BLhFdaGww"]
["Supply Chain and Logistics","Planning","Bridging the Gap between Strategy Design and Delivery","Brightline Initiative","Beginner",19.8,4.84,"https://www.coursera.org/learn/bridging-strategy-design-delivery-gap","Remember to get your voucher before starting the course to earn your Brightline™ Initiative certificate using this link: https://www.coursera.org/promo/brightlinepromo. \\n\\nIn today’s competitive business environment, organizations are facing unprecedented levels of change and disruption. Only 1 out of 10 executives based on a global survey admit that their organizations successfully deliver all of their strategic initiatives. This course will help you as a leader of your organization to bridge the costly and wasteful gap between strategy design and delivery.   \\n\\nYou will learn how external and internal factors impact the organizations’ capability to implement strategies. You will understand Brightline’s 10 Guiding Principles and see how these can help bridge the strategy-implementation gap based on real-world examples from the profit-, non-profit- and government sectors. We bring you interviews from global leaders and experts to share their experiences and examples in strategy implementation. You will also analyze a fictional case and create a strategic action plan following the Brightline’s 10 Guiding Principles. \\n\\nAfter completing this course, you will comprehend how the 10 Guiding Principles can address and resolve your organization’s challenges to successfully achieve its strategic goals.","project-management; thought; strategic-thinking; resource-allocation; strategy-implementation; resource; decision-making; strategic-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,27.1]","NA","English","business","business-strategy","SB2cQpX7EeiC6wosjoSpnA"]
["Supply Chain and Logistics","Planning","Strategic Planning and Execution","University of Virginia","Intermediate",15.5,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","modeling; strategic-planning; plan; strategy-implementation; planning; strategic-analysis; strategic-management; formulation; analysis; management","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","Non Specialization","[9.3,17.6]","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]
["Supply Chain and Logistics","Planning","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Supply Chain and Logistics","Planning","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Supply Chain and Logistics","Planning","Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)","University System of Georgia","Beginner",12.2,4.51,"https://www.coursera.org/learn/business-model-canvas","What you’ll achieve:\\nIn this project-centered course*, you will use the Business Model Canvas innovation tool to approach either a personal or corporate challenge or opportunity. You’ll learn to identify and communicate the nine key elements of a business model: Customer Segments, Value Proposition, Channels, Customer Relationships, Key Resources, Key Activities, Key Partners, Revenue Streams, and Cost Structure.\\n\\nYour completed project will be a polished Business Model Canvas that outlines the business case for a new product or service to address your selected challenge or opportunity. You’ll present your case in both a one-page document and a 10-minute video presentation.\\n\\nWhat you need to get started:\\nThis project-centered course is designed for anyone who wants to understand innovation best practices and the intra-corporate entrepreneurial (intrapreneur) skills needed to lead innovation projects, teams, and strategies. Entry- and senior-level professionals in a variety of industries - including education, healthcare, business, and not-for-profit - will benefit from the course materials and project experience. The only prerequisite is a strong desire to understand best practices in innovation and to master the skills needed to transform a new idea into a profitable reality.\\n\\nTo complete the project, you’ll need to access the Business Model Canvas from either the Kauffman Foundation (http://www.entrepreneurship.org) or Strategyzer.com (http://www.Strategyzer.com), or via the Creative Commons license offered by Strategyzer AG (http://www.businessmodelgeneration.com/downloads/business_model_canvas_poster.pdf).\\n\\n*About Project-Centered Courses: Coursera's project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","modeling; business-model; business-plan; business-model-canvas; project; proposition; value-proposition; plan; business-modeling; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,12.6]","Spanish; Arabic; Vietnamese; Portuguese; Swedish","English","business","business-strategy","VTyPXbMXEeW-cQqGkhsQ8w"]
["Supply Chain and Logistics","Planning","Social Business Model and Planning for Social Innovation","Copenhagen Business School","Intermediate",14.3,4.51,"https://www.coursera.org/learn/social-business-model","In this course we will take the social business opportunity that you have identified in the first course to a higher level. Specifically, you will develop a business model using the Business Model Canvas. Gradually you will also start writing your business plan. Moreover, you will be able to assess different organizational forms and select the one that is appropriate for your developed business model. By the end of the course you will be able to compare different social impact investment methods and choose the right funding strategy for your social venture.\\n\\nNote: It is highly recommended to have completed Course 1: 'Identifying Social Entrepreneurship Opportunities' before you start with this Course!","impact-investing; social-entrepreneurship; plan; social-business-model; business-plan; innovation; business-model; modeling; investor; entrepreneurship","Social Entrepreneurship",2.0,"https://www.coursera.org/specializations/social-entrepreneurship-cbs","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[10.1,17.7]","NA","English","business","entrepreneurship","7BnPwFAnEeal6Q45aayEvw"]
["Supply Chain and Logistics","Planning","Scaling Operations: Linking Strategy and Execution","Northwestern University","Beginner",14.7,4.47,"https://www.coursera.org/learn/operations-strategy","UPDATE FEBRUARY 2020: Scaling Operations: Linking Strategy and Execution will close for new learner enrollment on February 26, 2020. \\n\\n----\\nOver the past several decades, operations strategy has played an increasingly important role in business’ success. In this course, we will equip you with concepts and tools to build operations in a way that not only supports your competitive strategy, but also allows you to create new opportunities in the market place.\\n\\nScaling operations: Linking strategy and execution is a five-week course dedicated to making strategic decisions that are grounded in operational reality. Together, we will study how to build and evaluate the “operating system” of the firm to maximize value. This involves tailoring the firm’s operational competencies, assets, and processes to a specific business strategy.\\n\\nEach week, we’ll explore case studies, engage in discussions and examine realistic data. Thanks to our data-driven approach, you’ll be able to implement your learning directly into practice. At the end of this course, you’ll be ready to build an effective, actionable plan to scale your department or organization.","scaling; process-management; enterprise-system; systems-thinking; estimation; management; process; strategic-management; asset; operations-management","Non Specialization","Non Specialization","Non Specialization","The Startup Entrepreneurship specialization focuses on issues of Innovation, Creativity and Entrepreneurship. It leads the students through the entire process of creating a start-up from an idea.\\n\\nPart One deals with ideas, and the creative imagination: discovering new ideas, new products, new services, new and better ways to do almost anything.\\n\\nPart Two focuses on how to build a business (entrepreneurship). This course guides the learner through a series of tools and methods that help take an idea and make it happen, in a way that can sustain the business or organization that delivers it to humanity. Use this course to build a solid business or organization around the idea you developed during Part One.\\n\\nPart Three offers Innovation Career Lessons from a Master of proven achievements. During this course you will follow conversations and interviews with Dadi Perlmutter, who until recently was Executive VP of Intel Corporate, the highest ranking Israeli executive of any multinational company.","[8.9,18.3]","NA","English","business","business-strategy","Cil8XPTgEeSlpiIAC7NwBA"]
["Supply Chain and Logistics","Procurement","Engineering Project Management: Risk, Quality, Teams, and Procurement","Rice University","Advanced",19.8,4.75,"https://www.coursera.org/learn/project-risk-quality-management","Many Project Managers focus only on the scope, schedule and budget.  However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one.  During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study.\\n\\nBy the end of this course you will be able to:\\n\\n•\\tIdentify positive and negative risks\\n•\\tDevelop risk strategies\\n•\\tPerform a qualitative risk analysis\\n•\\tIdentify cost contingencies and reserves\\n•\\tDevelop a quality plan\\n•\\tIdentify quality standards\\n•\\tUtilize cause and effect tools \\n•\\tCreate a prioritization matrix\\n•\\tDevelop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities\\n•\\tDevelop a procurement plan that includes contracts and incentives\\n\\nAll of this will position you to understand the more intangible aspects of project management to drive better overall performance.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\n*PMI and PMP are registered marks of the Project Management Institute, Inc.","risk-management-plan; risk; project-management; procurement; project; plan; risk-analysis; analysis; management; risk-management","Engineering Project Management",3.0,"https://www.coursera.org/specializations/engineering-project-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.2,33.2]","NA","English","business","leadership-and-management","lZrHPHT_EeaudA5QhlNglQ"]
["Supply Chain and Logistics","Procurement","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Procurement","European Business Law: Competing in Europe","Lund University","Intermediate",14.4,4.69,"https://www.coursera.org/learn/eu-competition-law","About this Course\\n\\nThis six-week course titled Competing in Europe is the third in a series of three exploring some of the main business aspects of European Union law. Besides providing learners with a sound knowledge base of European laws and regulations, the series explores business considerations within a broader perspective by including inputs from leading law practitioners in the field. More specifically, the third course discusses how to compete on the internal market and protect your brand, product or invention. It includes legal disciplines such as Intellectual Property law (IP law), Competition law and specific branches within Public law, such as public procurement and state aid. \\n\\nAt the end of this course, you will have a basic understanding of how to:\\n\\n•\\tFind and understand relevant laws and regulations governing the internal European Union market\\n\\n•\\tProtect and defend a company’s products, brands and inventions by obtaining and licensing trademarks and patents\\n\\n•\\tCreate a competitive edge for a company and apply the basic principles of EU competition law\\n\\n•\\tConstruct and present a persuasive legal argument\\n\\n\\nAbout the Series\\n\\nThe Lund series in European Business Law ranges from considering the basic structures and principles of the European Union to focusing on specialized areas of European Union law. The first course, Understanding the Fundamentals, examines the core structures and principles of the European Union. The second course, Doing Business in Europe, examines legal areas such as Company law, Labour law, Tax law, Environmental law and Private International law, and how they tie in to doing business in Europe. All three courses can be taken independently or in sequence depending on your needs and preferences.\\n\\nTo keep up to speed on the course series, visit our Facebook page at:\\n\\nhttps://www.facebook.com/eblmooc/\\n\\n\\nSyllabus and Format\\n\\nEach course consists of a number of modules where one module represents about one week of work. A module includes a number of lectures and readings, and finishes with an assessment – a quiz or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. \\n\\nCourse I - Understanding the Fundamentals\\n\\nModule 1.\\tIntroduction \\nModule 2.\\tLegal Method and Sources \\nModule 3.\\tConstitutional Freedoms and Fundamental principles \\nModule 4.\\tFreedom of Movement \\nModule 5.\\tThe External Dimension \\n\\nCourse II - Doing Business in Europe \\n\\nModule 1. \\tMaking Business Transactions\\nModule 2. \\tEstablishing a Company\\nModule 3. \\tEmploying and Working in Europe\\nModule 4. \\tPaying Taxes and Complying with Environmental Standards \\nModule 5. \\tCase Clinic\\nModule 6. \\tResolving Cross-border Disputes \\n\\nCourse III - Competing in Europe\\n\\nModule 1. \\tObtaining Trademarks\\nModule 2. \\tDefending Patents \\nModule 3. \\tCompetition: Illegal Agreements \\nModule 4. \\tCompetition: Abuse of Dominance and Mergers \\nModule 5. \\tAdvocacy and Legal Writing \\nModule 6. \\tSelling to the State and State Aid\\n\\n\\nLund University\\n\\nLund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. \\n\\nThe Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law.\\nThe faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching. \\n\\nThe Master’s programme in European Business Law provides an in-depth understanding of both the practical and the theoretical aspects of business law within the European Union. The programme provides both general and specific knowledge of the European Union legal framework, which is necessary for students intending to work as legal advisors or business decision-makers. The programme is delivered in English and is open to students with at least a three year degree in Law (Bachelor, LL.B, or equivalent) who want to specialise in European economic and business law.\\nThe MOOC course in European Business Law is a great course to start with for students intending to apply for the Master’s programme in European Business Law. Even though the MOOC course does not grant credits previous knowledge of the subject is considered upon admission to the master’s programme. For more information about the Master’s programme in European Business Law see https://www.law.lu.se/#!meb","law; legal-writing; intellectual-property; intellectual; competitive-advantage; competitiveness; competition-law; business-law; economics; dotproperties","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.9,19.6]","NA","English","business","business-essentials","OJ2qDir8EeWccAqzeA4VPw"]
["Supply Chain and Logistics","Procurement","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","change-control; project-risk-management; change-management; project-management; project; plan; risk-management; communication; risk; management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Non Specialization","[2.2,5.6]","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["Supply Chain and Logistics","Procurement","Construction Cost Estimating and Cost Control","Columbia University","Intermediate",46.8,4.65,"https://www.coursera.org/learn/construction-cost-estimating","This course introduces the types of cost estimation from the conceptual design phase through the more detailed design phase of a construction project. In addition, the course highlights the importance of controlling costs and how to monitor project cash flow. Students will work on a break-even analysis of construction tasks in a project.","cost-estimate; flow-network; cost; estimation; earned-value-management; cost-control; project; cash-flow-management; cash-flow; management","Construction Management",3.0,"https://www.coursera.org/specializations/construction-management","Non Specialization","[18.4,80.3]","NA","English","business","business-strategy","A0_iymMnEea_8A7Guyve4Q"]
["Supply Chain and Logistics","Procurement","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Supply Chain and Logistics","Procurement","Supply Chain Principles","Georgia Institute of Technology","Beginner",17.9,4.62,"https://www.coursera.org/learn/supply-chain-principles","This course will provide a solid understanding of what a supply chain is all about. The course:\\n- Provides an introduction to Supply Chain \\n- Leverages graphics to promote the Integrated Supply Chain model\\n- Emphasizes understanding the Extended Supply Chain\\n- Presents a holistic approach – Incorporating People, Process, and Technology  \\n- Calls-out industry-specific supply chain\\n- Leverages discussions, videos, quizzes, and questions for consideration\\n- Provides awareness of career path opportunities\\n- Presents emerging and futuristic trends in supply chain\\nand given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.\\n\\nThe course incorporates reading materials that were developed as part of a $24.5M TAACCCT grant awarded by the U.S. Department of Labor’s Employment and Training Administration to the LINCS in Supply Chain Management  consortium.","planning; warehouse-management; supply-chain; supply-chain-management; supply-chain-network; transporting; procurement; chaining; management; principle","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,27.9]","NA","English","business","business-essentials","YrbKHF42Eea2uw7FUMTxlQ"]
["Supply Chain and Logistics","Procurement","Supply Chain Analytics Essentials","Rutgers the State University of New Jersey","Intermediate",22.6,4.62,"https://www.coursera.org/learn/supply-chain-analytics-essentials","Welcome to Supply Chain Analytics - an exciting and emerging area that is in high demand! \\n\\nIn this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area of Supply chain analytics where supply chain management meets data analytics. You will learn real life stories and examples on how analytics can apply to various domains of a supply chain, from sell, to move, make and source, to generate a significant social and / or economic impact. You will also learn about job market trend, job requirement and preparation. Lastly, you will master a data analysis technique to assess the efficiency of a supply chain. Supply Chain Analytics is a relatively new and fast developing area. Thus this course is by no mean exhaustive nor should you expect to be an expert upon completion. My goal of this course is to open the eyes of the learners to the impact of Supply Chain Analytics, and hopefully this will encourage you to learn more.\\n\\nUpon completing this course, you will\\n\\n1. Understand why analytics is critical to today’s supply chains\\n2. See the pain points of a supply chain and how analytics can be applied to address them\\n3. Understand the requirement of supply chain analytics jobs, and how to prepare for them\\n4. Assess a company’s overall supply chain efficiency quantitatively\\n\\nI hope you enjoy the course!","cash-conversion-cycle; procurement; demand; supply-chain-analytics; chaining; analytics; supply-chain; supply-chain-management; lambda-calculus; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8.9,38.3]","NA","English","business","business-essentials","mVWg308AEeirJwpxYInHrA"]
["Supply Chain and Logistics","Retail Store Operations","Supply Chain Analytics","Rutgers the State University of New Jersey","Beginner",7.4,4.72,"https://www.coursera.org/learn/supply-chain-analytics","Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance!\\n\\nA supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to\\n\\n1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. \\n2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. \\n3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.\\n\\nVASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market.\\n\\nI hope you enjoy the course!","plan; planning; supply-chain-analytics; supply-chain-management; inventory; chaining; analytics; supply-chain; supply-chain-planning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.3,9.8]","NA","English","business","business-essentials","jdACZjPZEem9Dgr58Fwmmg"]
["Supply Chain and Logistics","Retail Store Operations","Channel Management and Retailing","IE Business School","Beginner",8.5,4.35,"https://www.coursera.org/learn/channel-management","Understand how channel management and retailing can improve performance in your business.  Nowadays, a distribution strategy is part of the DNA of many companies and a correct channel management is key for the success of your product. Distribution plans need to be prepared for the long run, combining the following main areas:  company profile, portfolio structure and price positioning, go-to-market policy, trade and retail marketing, e-commerce and global retail management. \\n\\nIn the last decade, there have been two main revolutions that have affected industries, increasing the importance of Distribution Channel Management  Profesor Maria Teresa Aranzabal guides you through: The IT revolution: considering developments in CRM, supply chain, planning tools, merchandise and reallocation systems, amongst others; and the retail focus: how a clear retail strategy can be a differentiator for companies and a strong weapon of competitiveness. \\n\\nIn this course you will learn how to stay up-to-date on how companies are adding these aspects to their main strategic guidelines and making them key points in their managerial decision-making process.  We use interviews with industry experts and give real-life examples of how to ensure your business makes the most of this vital area of marketing.","trade-marketing; channel-management; channel-development; retail-management; marketing; supply-chain; retailing; market-economics; trading; management","Marketing Mix Implementation",3.0,"https://www.coursera.org/specializations/marketing-mix","Non Specialization","[4.3,10.7]","Korean","English","business","marketing","7t9y531dEeWKYwric11Hpw"]
["Supply Chain and Logistics","Shipping and Receiving","Wood Science: Beyond Building","West Virginia University","Beginner",9.7,4.68,"https://www.coursera.org/learn/wood-science","The central question of this course: “why study wood?” If “why study wood” is the question, one answer would be that it is the only raw material available to us that is truly renewable in human life span terms. Wood is as important to society today as it ever was, despite the development of many man-made substitute materials, changing resource availability, and the changing needs of society.  Some items on the list of wood products stay the same (lumber, plywood and veneer for building construction, furniture, shipping pallets & crates and other containers & packaging materials, railroad ties, utility poles, chemical feed stocks, etc), but the list also keeps changing to meet new needs and challenges as the resource changes.\\n\\nIn short, wood is a far more diverse, green, and renewable resource than you might have imagined. Join us to learn about the important role of wood in human history, civilization, and our future.\\n\\nBy the end of the course, learners will be able to:\\n- describe wood as a raw material and its critical importance to the world economy, and the lives of the people that make that economy work.  \\n- identify the projected trend for wood consumption to continue to grow in the coming years, despite the image of wood as a \"low tech\" material.  \\n- identify the ways in which wood's properties can lead to its efficient and sustainable use.\\n-identify wood's positive role in boosting the world economy and ability to lead to unexpected vocations.","resource; carbon; natural-resources; global; materials; biology; forest; product-business; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[4.7,13]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","WFRV5ZVGEeaPOA7y0lv8VQ"]
["Supply Chain and Logistics","Store Management","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Supply Chain and Logistics","Supplier Relationship Management","Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator","Yale University","Beginner",26.8,4.81,"https://www.coursera.org/learn/negotiation","This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.\\n\\nIn this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain. Enjoy.","principled-negotiation; communication; collaboration; strategic-thinking; strategic-negotiations; integration-testing; game-theory; added-value; cooperation; negotiation","Non Specialization","Non Specialization","Non Specialization","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[18.2,34.3]","Arabic","English","business","business-essentials","tGbJuel4EeSnMSIACzuFJw"]
["Supply Chain and Logistics","Supplier Relationship Management","Successful Negotiation: Essential Strategies and Skills","University of Michigan","Intermediate",14.2,4.7,"https://www.coursera.org/learn/negotiation-skills","We all negotiate on a daily basis. On a personal level, we negotiate with friends, family, landlords, car sellers and employers, among others. Negotiation is also the key to business success. No business can survive without profitable contracts. Within a company, negotiation skills can lead to your career advancement. \\n\\nI hope that you will join the hundreds of thousands of learners who have made “Successful Negotiation” one of the most popular and highly-rated MOOCs worldwide.  In the course, you’ll learn about and practice the four steps to a successful negotiation: \\n\\n   (1) Prepare: Plan Your Negotiation Strategy \\n\\n   (2) Negotiate: Use Key Tactics for Success \\n\\n   (3) Close: Create a Contract \\n\\n   (4) Perform and Evaluate: The End Game \\n\\nTo successfully complete this course and improve your ability to negotiate, you’ll need to do the following: \\n\\n(1) Watch the short videos (ranging from 5 to 20 minutes). The videos are interactive and they include questions to test your understanding of negotiation strategy and skills. You can speed up or slow down videos to match your preferred pace for listening. Depending on your schedule, you can watch the videos over a few weeks or you can binge watch them. A learner who binge-watched the course concluded that “It’s as good as Breaking Bad.” Another learner compared the course to “House of Cards.”  Both shows contain interesting examples of complex negotiations!\\n\\n(2) Test your negotiation skills by completing the negotiation in Module 6. You can negotiate with a local friend or use Discussions to find a partner from another part of the world. Your negotiation partner will give you feedback on your negotiation skills. To assist you with your negotiations, I have developed several free negotiating planning tools that are related to the course.  These tools and a free app are available at http://negotiationplanner.com/ \\n\\n(3) Take the final exam. To successfully complete the course, you must answer 80% of the questions correctly. The exam is a Mastery Exam, which means that you can take it as many times as you want until you master the material. \\n\\nCourse Certificate\\nYou have the option of earning a Course Certificate.  A Certificate provides formal recognition of your achievements in the course and includes the University of Michigan logo.   Learn more about Certificates at: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate\\n \\nThis course is also available in Spanish and Portuguese. To join the fully translated Spanish version, visit this page: https://www.coursera.org/learn/negociacion/ \\n\\nTo join the fully translated Portuguese version, visit this page: https://www.coursera.org/learn/negociacao\\nSubtitles for the videos are available in English, Ukrainian, Chinese (Simplified), Portuguese (Brazilian), Spanish\\n\\n\\nCreated by:  University of Michigan\\n\\nThe course logo composite is shared with a Creative Commons CC BY-SA (https://creativecommons.org/licenses/by-sa/2.0/) license, and was created using images provided courtesy of Flazingo Photos (http://bit.ly/1zOylRm) and K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432).","strategic-negotiations; contract-negotiation; sales; negotiation; law; decision-tree; decision-making; communication; decision-theory; integration-testing","Non Specialization","Non Specialization","Non Specialization","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[10.1,18.9]","Vietnamese; Portuguese; Ukrainian; Spanish; Chinese; Russian","English","business","business-essentials","v0l76HmGEeSi3yIACzSGcw"]
["Supply Chain and Logistics","Supplier Relationship Management","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","Non Specialization","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Supply Chain and Logistics","Supplier Relationship Management","International and Cross-Cultural Negotiation","ESSEC Business School","Intermediate",9.0,4.6,"https://www.coursera.org/learn/international-negotiation","All of us are aware that cultural differences are significant and that they affect how we interact with others in business and in leisure activities. But what is culture exactly, and how does it impact on negotiation, in particular? \\n\\nThis course will help you to be more precise about different dimensions of culture, from one region or country to another, while helping you to avoid simplifications, clichés and stereotypes. It will also lead you to a better overall awareness of your own culture.\\n\\nIn addition the course modules will guide you to a better understanding of when and how cultural differences are likely to influence the different dimensions of a negotiation - the people, problems and processes. Armed with that understanding, your awareness, preparation and strategy will be enhanced when you are faced with negotiators from cultures and regions different from your own. Your ability to anticipate and react, your negotiation flexibility, will be improved and refined.\\n\\nThe course also gives you a concrete look at quite different national and regional negotiation styles  (we look at the French, Chinese, North American and Middle Eastern). In addition, an examination of negotiation in two multicultural settings (European Union institutions, on the one hand, and the recent COP 21 climate conference in Paris, on the other) highlights the importance of well-designed negotiation processes for getting both efficiency and fairness.","lecture; buying; cross-cultural-communication; communication; relative-change-and-difference; intercultural-communication; supervision; arbitration; negotiation; multiculturalism","Negotiation, Mediation and Conflict Resolution",2.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","Non Specialization","[5.2,12.2]","Arabic","English","business","leadership-and-management","N7hNkxv9EealIRJP087Tdw"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Management Strategy","Rutgers the State University of New Jersey","Intermediate",16.5,4.73,"https://www.coursera.org/learn/supply-chain-management-strategy","Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain.  This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.","supply-chain-management; supply-chain-sourcing; chaining; planning; sources; supply-chain-strategy; risk; supply-chain; supply-chain-risk-management; management","Supply Chain Management",5.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[10.4,20.9]","Vietnamese","English","business","business-strategy","_yBsbgzOEeaX4g6xdats6w"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Supply Chain Systems","Introduction to Supply Chain Finance & Blockchain Technology","New York Institute of Finance","Advanced",18.2,4.65,"https://www.coursera.org/learn/introduction-supply-chain-finance-blockchain-technology","What is Supply Chain Finance? How does Blockchain apply? In this course, you’ll learn about an emerging set of solutions within trade finance implemented by financial institutions, leading corporate buyers and their trading partners all over the world known as Supply Chain Finance. You’ll learn about the key enablers in Supply Chain Finance and recognize the key challenges in the current market that are responsible for the growing interest in Supply Chain Finance. You’ll cover the concept, attributes, and metrics of working capital in great detail and review the four main products and solutions in Supply Chain Finance. The course will wrap up with a brief introduction to Blockchain and the basic concepts of Blockchain Technology. By the end of this course, you’ll have learned about the options to enter into the Supply Chain Finance market and how to identify the best solutions for your organization. There is no prerequisite knowledge required to participate in this course, but general business and financial acumen are helpful in understanding the full details of Supply Chain Finance solutions.","swift-programming-language; trade-finance; blockchains; chaining; supply-chain-management; working-capital; supply-chain; finance; management","Supply Chain Finance and Blockchain Technology",1.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[5.4,32.6]","NA","English","business","business-strategy","VcYd4wkzEemWlgor9WERxA"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Supply Chain and Logistics","Supply Chain Systems","Key Success Factors in Supply Chain Finance","New York Institute of Finance","Intermediate",32.7,4.56,"https://www.coursera.org/learn/key-success-factors-supply-chain-finance","Implement and manage a successful financing program for a corporate buying organization by learning about the key success factors in Supply Chain Finance. In this course, you'll learn about the challenges and bottlenecks in Supply Chain Finance and understand their impact on Supply Chain Finance programs. This course will help you understand who the ideal customer is for a Supply Chain Finance program and understand how revenue is generated and such programs are priced. You'll learn about the relevant factors for suppliers to come onboard and trade as well as identify the key roles and responsibilities involved in Supply Chain Finance.\\n\\nAdditionally, this course will explain how to develop metrics and list the necessary elements for developing an effective financing program. By the end of this course, you’ll be able to perform a pre-sales analysis and a detailed supplier analysis, which are crucial for setting up a Supply Chain Finance program.","supply-chain; blockchains; supply-chain-analytics; swift-programming-language","Supply Chain Finance and Blockchain Technology",2.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[11.7,52.4]","NA","English","business","finance","ZGLe-go7EemaoQ6n9kv2xA"]
["Supply Chain and Logistics","Supply Chain Systems","Future Development in Supply Chain Finance and Blockchain Technology","New York Institute of Finance","Intermediate",5.0,4.46,"https://www.coursera.org/learn/future-developments-supply-chain-finance-blockchain-technology","This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. \\n\\nThis course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.","scaling; supply-chain; swift-programming-language; chaining; blockchains","Supply Chain Finance and Blockchain Technology",4.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","Non Specialization","[2.2,7.8]","NA","English","business","finance","p7Ql1go7EemaoQ6n9kv2xA"]
["Supply Chain and Logistics","Supply Chain Systems","Supply Chain Finance Market and Fintech Ecosystem","New York Institute of Finance","Intermediate",10.6,4.45,"https://www.coursera.org/learn/supply-chain-finance-market-fintech-ecosystem","This course provides an in-depth understanding of the Supply Chain Finance market including insights on the potential and current market size, market penetration, growth, and distribution. You’ll be introduced to the four distinctive groups serving the Supply Chain Finance market and learn about the main stakeholders and market participants in a Supply Chain Finance program. By the end of the course, you’ll have reviewed the key trends and upcoming risks affecting Supply Chain Finance and gained a deeper understanding of the key challenges in the market amongst corporate clients, banks, non-bank financiers and technology service providers.","economics; blockchains; financial-technology; supply-chain; ecosystem; swift-programming-language","Supply Chain Finance and Blockchain Technology",3.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[4.5,17.2]","NA","English","business","finance","gxAcAAo7Eemr6Q4Noor3UA"]
["Supply Chain and Logistics","Transportation Operations Management","Cross-border road transport in EU law context","Erasmus University Rotterdam","Advanced",15.0,5.0,"https://www.coursera.org/learn/transport-eu-law","Have you ever wondered which legal rules are applicable to cross-border EU road transport? Are you interested in the issues revolving around EU employment law in the international road transport sector? Then, on behalf of the University of Antwerp, Erasmus University Rotterdam, University of Gdańsk, University of Luxembourg and Tilburg University, we would like to welcome you to this MOOC on Cross-border Road Transport in EU law context. This MOOC is a part of the Erasmus + Project funded by the European Commission. In this MOOC, you will not only learn what the current legal framework is, but also, how it is applied in the road transport sector.\\n\\nAfter participating in this MOOC, you will be able to: \\n\\n1. Describe the basics of the process of European integration, in the light of the affirmation of the four fundamental freedoms \\nof the EU, European framework on private international law, the posting of workers, social security coordination and social dialogue.\\n2. Understand the interplay between Treaty provisions and secondary sources in the relevant fields.\\n3. Understand the frictions between the rationales underneath the legal provisions that govern EU social policy and labour law.\\n4. Analyse the most relevant case law of the European Court of Justice with an impact on the rights of international road transport workers.\\n5. Familiarise with official documents of the EU institutions and with academic and other relevant literature in this field.\\n6. Use, where relevant, the implementation of EU rules by Member States.\\n7. Solve cases dealing with the implementation of the applicable legal provisions.\\n\\nWe are offering you knowledge clips, memoranda that contain in-depth legal information on the different key topics, recommended readings and case law. Next to that after each module, you could test your acquired knowledge by taking a multiple choice test. In the end of this course, you will be able to apply everything you have learned in a practical manner by solving our sample guide case that resembles a real life scenario which challenges you to deal with everyday's problems faced in the cross-border road transport by practitioners in the field. \\n\\nBy participating in this MOOC, you will find answers to the following questions:\\n\\n1. Which of the four fundamental freedoms is applicable?\\n2. Which court has jurisdiction over a labour dispute and which law governs the cross-border employment relation?\\n3. How to apply and enforce the rules stemming from the Posting of Workers Directive?  \\n4. Which social security system is applicable and which social security institution is competent to levy the social security contributions? \\n5. What is the role of social partners in the cross-border road transport?\\n\\nIn the end it all makes SENSE! So let's go down this road together. Buckle up!","lux; international-law; justice; law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,21]","NA","English","social-sciences","law","zo70rNAiEee8ow4eUb1zXA"]
["Supply Chain and Logistics","Warehouse Management","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["Supply Chain and Logistics","Warehouse Management","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["Supply Chain and Logistics","Warehouse Management","Supply Chain Principles","Georgia Institute of Technology","Beginner",17.9,4.62,"https://www.coursera.org/learn/supply-chain-principles","This course will provide a solid understanding of what a supply chain is all about. The course:\\n- Provides an introduction to Supply Chain \\n- Leverages graphics to promote the Integrated Supply Chain model\\n- Emphasizes understanding the Extended Supply Chain\\n- Presents a holistic approach – Incorporating People, Process, and Technology  \\n- Calls-out industry-specific supply chain\\n- Leverages discussions, videos, quizzes, and questions for consideration\\n- Provides awareness of career path opportunities\\n- Presents emerging and futuristic trends in supply chain\\nand given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.\\n\\nThe course incorporates reading materials that were developed as part of a $24.5M TAACCCT grant awarded by the U.S. Department of Labor’s Employment and Training Administration to the LINCS in Supply Chain Management  consortium.","planning; warehouse-management; supply-chain; supply-chain-management; supply-chain-network; transporting; procurement; chaining; management; principle","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,27.9]","NA","English","business","business-essentials","YrbKHF42Eea2uw7FUMTxlQ"]

{"sheet":"Tech","index":3,"n_rows":844,"n_cols":20,"rows_kept":844,"cut":false,"hidden":false,"merged":[]}
[]
["Technology","Back to summary page","This sheet collates the top recommended technology courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team"]
[]
["Competency","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["Cloud Computing","Best Courses","Networking in Google Cloud: Defining and Implementing Networks","Google Cloud","Beginner",16.9,4.85,"https://www.coursera.org/learn/networking-gcp-defining-implementing-networks","This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.\\n\\nTo get the most out of this course, participants should have:\\n*Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n*Prior understanding of the OSI 7-layer model\\n*Prior understanding of IPv4 addressing\\n*Prior experience with managing IPv4 routes\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud load balancing; network interface; network management; load balancing (computing); google; management; cloud computing; google cloud platform; network load balancing; load balancing","Networking in Google Cloud",2.0,"https://www.coursera.org/specializations/networking-google-cloud-platform","This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager.\\n\\nThis class is intended for the following participants:\\n\\n● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so\\n\\n● Individuals who want to be exposed to software-defined networking solutions in the cloud.\\n\\nTo get the most out of this course, participants should have:\\n\\n*Prior understanding of the OSI 7-layer model\\n\\n*Prior understanding of IPv4 addressing\\n\\n*Prior experience with managing IPv4 routes","[8.8,20]","[NULL]","English","information-technology","networking","dEWOXIntEeixGA4Edp1TqA"]
["Cloud Computing","Best Courses","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Best Courses","Google Cloud Product Fundamentals","Google Cloud","Advanced",7.0,4.74,"https://www.coursera.org/learn/google-cloud-product-fundamentals","This course builds on the Business Transformation with Google Cloud course by taking you on a journey into the technology lens of an organization's transformation. Specifically, we'll explain how an organization can achieve digital transformation using Google Cloud's technology through the following categories: modernizing its IT infrastructure, upgrading the way in which its teams develop applications that run a business, how it can leverage machine learning and artificial intelligence to build new value, how using cloud-based productivity tools like GSuite are essential to the way work gets done, and understand the cost management opportunities and challenges that come with a changing cloud-based IT infrastructure. \\n\\nThroughout the course, we'll explain core concepts such as compute, applications, security, APIs, databases, and their roles in digital transformation. You'll also learn about specific examples where different cloud technology has been used and the benefits they've created for individuals and companies globally. More importantly, we'll equip you with the knowledge you'll need to either lead or influence digital transformation projects, collaborating with the right stakeholders.","cloud infrastructure; architecture; google cloud platform; cost; learning; cloud platforms; management; cloud computing; google","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.4,8.6]","[NULL]","English","business","business-strategy","m9Rh-EPaEeqEIAr9EHdN-Q"]
["Cloud Computing","Best Courses","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Best Courses","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Best Courses","Architecting with Google Kubernetes Engine: Foundations","Google Cloud","Beginner",9.2,4.71,"https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Foundations,\" you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\nNote: Those seeking an abbreviated overview of Kubernetes may want to consider Getting Started with Google Kubernetes Engine.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","kubernetes; data clustering algorithms; devops; google cloud platform; cloud platforms; cloud computing; euler's totient function; integration testing; google; control plane","Architecting with Google Kubernetes Engine",2.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5.1,11.2]","French; Spanish; Japanese; German; Portuguese","English","computer-science","software-development","aOin7ERUEemzhg5D25f0SA"]
["Cloud Computing","Best Courses","Business Transformation with Google Cloud","Google Cloud","Beginner",8.7,4.71,"https://www.coursera.org/learn/business-transformation-google-cloud","What is cloud technology or data science and what’s all the hype about? More importantly, what can it do for you, your team, and your business? \\n\\nIf you want to learn about cloud technology so you can excel in your role, help build the future of your business and thrive in the cloud era, then the Business Transformation with Google Cloud course is for you. Through this interactive training, you’ll learn about core cloud business drivers—specifically Google’s cloud—and gain the knowledge/skills to determine if business transformation is right for you and your team, and build short and long-term projects using the “superpowers” of cloud accordingly. You’ll also find several templates, guides, and resource links through the supplementary student workbook to help you build a custom briefing document to share with your leadership, technical teams or partners.\\n\\nPrimary Audience:\\nBusiness decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of Google’s cloud technology for business improvement opportunities and transformational project(s).","security; business case; google; cloud computing security; cloud computing; business transformation; at&t hobbit; 4dos; analysis; brainstorming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.8,10.8]","[NULL]","English","business","business-strategy","1PkWzR59EemY4g4sf5CaYA"]
["Cloud Computing","Best Courses","System Administration and IT Infrastructure Services","Google","Beginner",32.6,4.69,"https://www.coursera.org/learn/system-administration-it-infrastructure-services","This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster.\\n\\nBy the end of this course you’ll be able to:\\n● utilize best practices for choosing hardware, vendors, and services for your organization\\n● understand how the most common infrastructure services that keep an organization\\nrunning work, and how to manage infrastructure servers\\n● understand how to make the most of the cloud for your organization\\n● manage an organization’s computers and users using the directory services, Active\\nDirectory, and OpenLDAP\\n● choose and manage the tools that your organization will use\\n● backup your organization’s data and know how to recover your IT infrastructure in the case of\\na disaster\\n● utilize systems administration knowledge to plan and improve processes for IT environments","disasters; disaster recovery plan; plan; finger protocol; system administration; lightweight directory access protocol; disaster recovery; cloud computing; directory services; backup","Google IT Support",4.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[9.4,61.1]","Arabic; Portuguese; Spanish","English","information-technology","support-and-operations","hBmmv1drEeerkQ5vdwUqtA"]
["Cloud Computing","Best Courses","Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","Beginner",13.0,4.68,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; kubernetes; javascript; google; cloud platforms; google cloud platform; database; cloud engineering; data clustering algorithms; data uri scheme","Cloud Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[4.9,22.8]","[NULL]","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["Cloud Computing","Best Courses","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Amazon Web Services","Project: Object Detection with Amazon Sagemaker","Rhyme","Advanced",3.1,"[NULL]","https://www.coursera.org/learn/object-detection-sagemaker","In this 2-hour long project-based course, you will learn how to train and deploy an object detector using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the SSD Object Detection algorithm from Sagemaker to create, train and deploy a model that will be able to localize faces of dogs and cats from the popular IIIT-Oxford Pets Dataset.\\n\\nIMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage.\\n\\nSince this is a practical, project-based course, we will not dive in the theory behind deep learning based SSD or Object Detection, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS).\\n\\nNote: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[NULL]","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2,3.7]","[NULL]","English","data-science","machine-learning","Mf5YDWqtEeqeABKj5fz_Hw"]
["Cloud Computing","Amazon Web Services","Project: Image Classification with Amazon Sagemaker","Rhyme","Advanced",2.5,5.0,"https://www.coursera.org/learn/image-classification-sagemaker","In this 2-hour long project-based course, you will learn how to train and deploy an image classifier using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the image classification algorithm from Sagemaker to create, train and deploy a model that will be able to classify 37 breeds of dogs and cats from the popular IIIT-Oxford Pets Dataset.\\n\\nIMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage.\\n\\nSince this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS).\\n\\nNote: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","algorithms; statistical classification","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.6,3]","[NULL]","English","data-science","machine-learning","la8V_WUrEeqfNBJgJBUSEw"]
["Cloud Computing","Amazon Web Services","Project: Semantic Segmentation with Amazon Sagemaker","Rhyme","Advanced",3.6,5.0,"https://www.coursera.org/learn/semantic-segmentation-sagemaker","In this 2-hour long project-based course, you will learn how to train and deploy a Semantic Segmentation model using Amazon Sagemaker. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. We will use the semantic segmentation algorithm from Sagemaker to create, train and deploy a model that will be able to segment images of dogs and cats from the popular IIIT-Oxford Pets Dataset into 3 unique pixel values. That is, each pixel of an input image would be classified as either foreground (pet), background (not a pet), or unclassified (transition between foreground and background).\\n\\nIMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage.\\n\\nSince this is a practical, project-based course, we will not dive in the theory behind deep learning based semantic segmentation, but will focus purely on training and deploying a model with Sagemaker. You will also need to have some experience with Amazon Web Services (AWS).","semantics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.3,4.3]","[NULL]","English","data-science","machine-learning","VSbRFGq6EeqeABKj5fz_Hw"]
["Cloud Computing","Amazon Web Services","AWS Fundamentals: Building Serverless Applications","Amazon Web Services","Advanced",18.5,4.67,"https://www.coursera.org/learn/aws-fundamentals-building-serverless-applications","This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises you'll learn skills in building and deploying serverless solutions. \\n\\nUsing real-world examples of a serverless website and chat bot, you'll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.\\n\\nIn this course, you'll have the option to complete hands-on exercises. We strongly suggest you take advantage of the AWS Free Tier to follow the lab exercises provided by throughout the course. Be aware that any services used outside of the free tier may result in you incurring charges through your AWS account. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the knowledge and skills to build serverless solutions on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","web; microservices; amazon cloudfront; amazon web services; web service; chatterbots; lexical analysis; continuous integration; application programming interfaces; amazon dynamodb","AWS Fundamentals",4.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,33.5]","[NULL]","English","information-technology","cloud-computing","nBOY_jY0Eem0_ArClQZx9A"]
["Cloud Computing","Amazon Web Services","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Amazon Web Services","AWS Fundamentals: Migrating to the Cloud","Amazon Web Services","Advanced",10.7,4.58,"https://www.coursera.org/learn/aws-fundamentals-cloud-migration","This four week course focuses on migrating workloads to AWS.  We will focus on  analyzing your current environment, planning your migration, AWS services that are commonly used during your migration, and the actual migration steps.  \\n\\nHands-on labs are available, though not required for this class.  Access to the labs is limited to paid enrolled students.  You can audit this  course without taking the labs.  As we dive into each of the services covered in this class, there will be links to documentation where you can find example applications and code samples.\\n\\nIf you are new to AWS, we strongly suggest that you take “AWS Fundamentals: Going Cloud Native” (https://www.coursera.org/learn/aws-fundamentals-going-cloud-native) course available on Coursera to provide an introduction to AWS concepts and services.",".properties; learning; cloud computing; integration testing; chatterbots; amazon web services; software as a service; cloud computing security; data uri scheme; data migration","AWS Fundamentals",3.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4,19.1]","[NULL]","English","information-technology","data-management","c4C7Kpm0EemfgRICI_I3ug"]
["Cloud Computing","Amazon Web Services","AWS Fundamentals: Addressing Security Risk","Amazon Web Services","Intermediate",7.2,4.22,"https://www.coursera.org/learn/aws-fundamentals-addressing-security-risk","Through presentations, demonstrations, and readings, this course will introduce security concepts for use with Amazon Web Services (AWS). \\n\\nEach week will focus on different aspects of security on AWS.  In week one we will review some basic concepts such as \"least privilege\" and the \"shared security model\".  You will learn about AWS compliance programs, and look at securing AWS accounts using AWS IAM. \\n\\nIn the second week, we will focus on securing your infrastructure.  We will look at network isolation and endpoint security.  We will then look at detective controls such as Amazon Cloudtrail and AWS Cloudtrail as well as the AWS Security Hub, Amazon GuardDuty and AWS Config.\\n\\nWeek three will focus on data protection. We will look at encryption of data at rest, in motion, and best practices for how to store data within and between various AWS services.\\n\\nIn the final week of the course, we will look at protecting compute resources such as Amazon EC2 and AWS Lambda as well as managing secrets and finish off the course with a look at the AWS Well-Architected Framework.\\n\\nClass forums will also allow you to ask questions and interact with AWS training instructors.\\n\\nThis course has been developed by AWS, and is delivered by AWS Solutions Architects.","amazon dynamodb; security; security modes; risk; identity management; encryption; identity provider; interfaces; ipsec; amazon web services","AWS Fundamentals",2.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.3,8.8]","[NULL]","English","information-technology","cloud-computing","xhRmx0_tEemoXg4ZX62OZA"]
["Cloud Computing","Amazon Web Services","Project: Using TensorFlow with Amazon Sagemaker","Rhyme","Advanced",3.6,1.0,"https://www.coursera.org/learn/sagemaker-tensorflow","In this 2-hour long project-based course, you will learn how to train and deploy an image classifier created and trained with the TensorFlow framework within the Amazon Sagemaker ecosystem. Sagemaker provides a number of machine learning algorithms ready to be used for solving a number of tasks. However, it is possible to use Sagemaker for custom training scripts as well. We will use TensorFlow and Sagemaker's TensorFlow Estimator to create, train and deploy a model that will be able to classify images of dogs and cats from the popular Oxford IIIT Pet Dataset.\\n\\nIMPORTANT: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage.\\n\\nSince this is a practical, project-based course, we will not dive in the theory behind deep learning based image classification, but will focus purely on training and deploying a model with Sagemaker and TensorFlow. You will also need to have some experience with Amazon Web Services (AWS).\\n\\nNote: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","[NULL]","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.3,4.3]","[NULL]","English","data-science","machine-learning","PqZ1_20nEeqE7xK8d4jUFw"]
["Cloud Computing","Cloud Api","On Premises Management, Security, and Upgrade with Google Cloud's Apigee API Platform","Google Cloud","Beginner",2.6,4.74,"https://www.coursera.org/learn/onprem-mgmt-security-apigee-gcp","This course helps you build hands-on experience with Apigee API Platform On-Premises installation, management and upgrade processes.\\n\\nThe material focuses on building understanding about the management capabilities of Apigee API Platform, how to secure the platform as well as how to maintained up to date by performing upgrades.","latex; google; apache qpid; integration testing; out of the box (feature); keystore; application programming interfaces; pro/desktop; actor (uml); google cloud platform","Install and Manage Google Cloud's Apigee API Platform",2.0,"https://www.coursera.org/specializations/apigee-api-gcp-onprem","This three-course specialization introduces you to the design principles, installation steps and operational procedures required to successfully adopt the Apigee API Platform On-Premises.\\n\\nThrough a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design Apigee topologies, install, manage and upgrade platform. As well as how to conduct post installation and recurrent activities corresponding to security, monitoring, scaling and troubleshooting.\\n\\nThis specialization is intended for Operations Engineers and Architects responsible for the installation and management of Apigee API Platform On-Premises.","[1.5,3.4]","[NULL]","English","computer-science","software-development","MibxOgwrEeiVnRKrXPCsoA"]
["Cloud Computing","Cloud Api","On Premises Capacity Upgrade and Monitoring with Google Cloud's Apigee API Platform","Google Cloud","Beginner",2.4,4.73,"https://www.coursera.org/learn/onprem-upgrade-apigee-gcp","This course helps you build understanding on key considerations for capacity planning and how to add and remove logical and physical capacity to the platform. Here you will learn how to add and remove logical elements such as Organizations, Environments and Virtual Hosts. It will also cover how to add new and remove components as well as how to add entire regions.\\n\\nThe course will also cover the Apigee API Platform's monitoring capabilities, how to organize ideas for quickly detect and address failure scenarios as well as how to reach out to Apigee support for help.","apache zookeeper; integration testing; application programming interfaces; disaster recovery; failover; java management extensions; Troubleshooting; teleprocessing monitor; google; apache qpid","Install and Manage Google Cloud's Apigee API Platform",3.0,"https://www.coursera.org/specializations/apigee-api-gcp-onprem","This three-course specialization introduces you to the design principles, installation steps and operational procedures required to successfully adopt the Apigee API Platform On-Premises.\\n\\nThrough a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design Apigee topologies, install, manage and upgrade platform. As well as how to conduct post installation and recurrent activities corresponding to security, monitoring, scaling and troubleshooting.\\n\\nThis specialization is intended for Operations Engineers and Architects responsible for the installation and management of Apigee API Platform On-Premises.","[1.5,3.2]","[NULL]","English","computer-science","software-development","X14bwAwrEeihtBJn6CjaCg"]
["Cloud Computing","Cloud Api","Mitigating Security Vulnerabilities on Google Cloud Platform","Google Cloud","Beginner",12.2,4.71,"https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; uniform resource locator; cloud computing; denial-of-service attacks; security; vulnerability (computing); digital signature; privacy; authorization; google cloud platform","Security in Google Cloud Platform",3.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.8,14.4]","[NULL]","English","information-technology","cloud-computing","BkQTO_GxEeiCNw6qJOIwLA"]
["Cloud Computing","Cloud Api","On Premises Installation and Fundamentals with Google Cloud's Apigee API Platform","Google Cloud","Beginner",2.9,4.69,"https://www.coursera.org/learn/onprem-fundamentals-apigee-gcp","This course provides an introduction to Apigee API Platform On-Premises. The material walks you over Apigee product capabilities overview, architecture characteristics, technology stack and the fundamentals of topology design.\\n\\nAs part of the course key terminology, software organizational structure and architecture are covered. \\nThe course represents the foundation for your understanding of Apigee API Platform On-Premises. The knowledge built on this course is a must for your understanding of the rest of the material on this specialization.\\n\\nThe second half of the course will focus on the installation of the Apigee API Platform on your on premise instance.","google cloud platform; ordered pair; cloud computing; application programming interfaces; google; cloud platforms; provisioning; solution stack; stack (abstract data type); integration testing","Install and Manage Google Cloud's Apigee API Platform",1.0,"https://www.coursera.org/specializations/apigee-api-gcp-onprem","This three-course specialization introduces you to the design principles, installation steps and operational procedures required to successfully adopt the Apigee API Platform On-Premises.\\n\\nThrough a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design Apigee topologies, install, manage and upgrade platform. As well as how to conduct post installation and recurrent activities corresponding to security, monitoring, scaling and troubleshooting.\\n\\nThis specialization is intended for Operations Engineers and Architects responsible for the installation and management of Apigee API Platform On-Premises.","[1.6,3.8]","[NULL]","English","computer-science","software-development","0mUWawwqEei4Vw5pGASqjA"]
["Cloud Computing","Cloud Api","API Development on Google Cloud's Apigee API Platform","Google Cloud","Beginner",16.5,4.65,"https://www.coursera.org/learn/api-development-apigee-gcp","This course gives you an in depth overview of API development on the Apigee API Platform. We'll learn abut how to properly approach your API development and ensure you're aware of the various tools and out of the box policies available within Apigee Edge that can assist you with implementation. As part of the lab exercises, we'll provide a set of instructions to spin up your own Apigee free environment and start developing a basic API from scratch.\\n\\nBy taking this course, you'll come to have a high level understanding of API development. All supplemental materials will be provided to you for offline review / reference. If you ever wanted to learn about API development, this is the course for you!\\n\\nNote: Those taking this course should first complete the \"API Design and Fundamentals of Google Cloud's Apigee API Platform\" course.","xslt; cloud applications; device file; edge computing; node.js; extract; error; architecture; arbitration; application programming interfaces","Developing APIs with Google Cloud's Apigee API Platform",2.0,"https://www.coursera.org/specializations/apigee-api-gcp","This three-course specialization will introduce you to the many out of box capabilities of the Google Cloud Platform (Apigee) and how to apply them to your APIs to properly implement and secure them. Through a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design, build, and deploy your API solution using services on the Google Apigee Platform.\\n\\nThis specialization is intended for API designers and developers and is considered to be fundamental. We highly recommend this training prior to working on the Google Apigee Platform\\n\\nThis specialization will allow you to spin up your own free environment and develop your first set of APIs as the instructor walks you through a specific real world scenario.\\n\\nNote: If you wish to become Apigee certified, please refer to the following URL for more information:\\n\\nhttps://apigee.com/api-management/#/certification","[4.6,28.7]","[NULL]","English","computer-science","software-development","xp-FcDm7EeeN-xLrqutC-A"]
["Cloud Computing","Cloud Api","Managing Security in Google Cloud Platform","Google Cloud","Beginner",14.0,4.65,"https://www.coursera.org/learn/managing-security-in-google-cloud-platform","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google cloud platform; load balancing; google; a priori; principle of least privilege; cloud computing; security; cloud computing security; cloud platforms; authentication","Security in Google Cloud Platform",2.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8,16.4]","[NULL]","English","information-technology","cloud-computing","NBJxE-OmEeiWYg6-QHiENg"]
["Cloud Computing","Cloud Api","API Design and Fundamentals of Google Cloud's Apigee API Platform","Google Cloud","Beginner",9.6,4.64,"https://www.coursera.org/learn/api-design-apigee-gcp","This course gives you an introductory look at the Apigee API Platform and API Design in general. We'll cover topics such as how to properly navigate through the Apigee Edge UI as well as how to approach API design and ensure industry best practices are followed. We'll also go over the Apigee Technology Stack to ensure a full understanding of all the platform components.\\n\\nBy taking this course, you'll come to have a high level understanding of APIs and will lay the foundation for the more detailed deep dive courses later in the specialization. All supplemental materials will be be provided for offline review. If you ever wanted to learn about Apigee and APIs in general, this is the course for you!","openapi specification; representational state transfer; best practice; java annotation; application programming interfaces; computer programming; interfaces; specification (technical standard); cloud api; cloud computing","Developing APIs with Google Cloud's Apigee API Platform",1.0,"https://www.coursera.org/specializations/apigee-api-gcp","This three-course specialization will introduce you to the many out of box capabilities of the Google Cloud Platform (Apigee) and how to apply them to your APIs to properly implement and secure them. Through a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design, build, and deploy your API solution using services on the Google Apigee Platform.\\n\\nThis specialization is intended for API designers and developers and is considered to be fundamental. We highly recommend this training prior to working on the Google Apigee Platform\\n\\nThis specialization will allow you to spin up your own free environment and develop your first set of APIs as the instructor walks you through a specific real world scenario.\\n\\nNote: If you wish to become Apigee certified, please refer to the following URL for more information:\\n\\nhttps://apigee.com/api-management/#/certification","[2.6,14.5]","[NULL]","English","computer-science","design-and-product","SsqDWjm8EeetnwoV3WhjXA"]
["Cloud Computing","Cloud Api","API Security on Google Cloud's Apigee API Platform","Google Cloud","Beginner",3.3,4.64,"https://www.coursera.org/learn/api-security-apigee-gcp","Now that your APIs are developed, it's time to talk about how to secure them. This course covers API security using the Apigee API platform. We'll learn about how to properly secure your APIs by covering topics such as the types of OAuth, TLS, and SAML to name a few. We'll apply these concepts with hands on labs to implement proper authentication and validation in your APIs.\\n\\nBy taking this course, you'll come to have a high level understanding of API security and why it's important. All supplemental materials will be provided to you for offline review / reference. Since this is the final course in the Specialization, you'll come out of this course with a fully working and secure API to be used as reference for all your future builds!\\n\\nNote: Before starting this course, please ensure that you have completed the \"API Design and Fundamentals of Google Cloud's Apigee API Platform\" and \"API Development on Google Cloud's Apigee API Platform\" courses.","oauth; security assertion markup language; security; arbitration; project; management; data masking; computer programming; interfaces; application programming interfaces","Developing APIs with Google Cloud's Apigee API Platform",3.0,"https://www.coursera.org/specializations/apigee-api-gcp","This three-course specialization will introduce you to the many out of box capabilities of the Google Cloud Platform (Apigee) and how to apply them to your APIs to properly implement and secure them. Through a combination of video lectures, hands on labs, and supplemental materials, you'll learn how to design, build, and deploy your API solution using services on the Google Apigee Platform.\\n\\nThis specialization is intended for API designers and developers and is considered to be fundamental. We highly recommend this training prior to working on the Google Apigee Platform\\n\\nThis specialization will allow you to spin up your own free environment and develop your first set of APIs as the instructor walks you through a specific real world scenario.\\n\\nNote: If you wish to become Apigee certified, please refer to the following URL for more information:\\n\\nhttps://apigee.com/api-management/#/certification","[1.3,3.9]","[NULL]","English","computer-science","software-development","baumlTm8Eeeahg4SvlLy9A"]
["Cloud Computing","Cloud Api","Securing and Integrating Components of your Application","Google Cloud","Beginner",28.1,4.59,"https://www.coursera.org/learn/securing-integrating-components-app","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","cloud platforms; google; application programming interfaces; cloud api; euler's totient function; publish subscribe pattern; cloud computing; integration testing; google cloud platform; authentication","Developing Applications with Google Cloud Platform",3.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.2,52.9]","[NULL]","English","computer-science","software-development","Le_4Ub6XEeepKw4CZoGWJA"]
["Cloud Computing","Cloud Api","Getting Started With Application Development","Google Cloud","Intermediate",23.2,4.45,"https://www.coursera.org/learn/getting-started-app-development","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments","cloud computing; cloud platforms; data store; google app engine; graphical environment manager; google; data storage device; cloud storage; google cloud platform; google storage","Developing Applications with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[8.1,41.8]","[NULL]","English","computer-science","software-development","OpMk9L5nEeepKw4CZoGWJA"]
["Cloud Computing","Cloud Api","Building Conversational Experiences with Dialogflow","Google Cloud","Beginner",12.2,4.43,"https://www.coursera.org/learn/conversational-experiences-dialogflow","This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","data storage device; cloud computing; google; cloud platforms; google cloud platform; artificial intelligence; google app engine; dialog system; chatterbots; device file","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,19.2]","[NULL]","English","computer-science","software-development","A08bmt7QEeiEtg6CbLLNrg"]
["Cloud Computing","Cloud Api","Using SAS Viya REST APIs with Python and R","SAS","[Null]",22.3,4.33,"https://www.coursera.org/learn/sas-viya-rest-api-python-r","SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. And once SAS Viya has done the heavy lifting, you’ll be able to download data to the client and use native open source syntax to compare results and create graphics.","data mining and machine learning software; gimias; weka (machine learning); representational state transfer; elki; neural network software; pyomo; exponential smoothing; pytorch; supply chain analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,29.4]","[NULL]","English","data-science","data-analysis","N9ARoTR9Eem8AApO0WzJlA"]
["Cloud Computing","Cloud Applications","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Applications","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Cloud Applications","Securing and Integrating Components of your Application","Google Cloud","Beginner",28.1,4.59,"https://www.coursera.org/learn/securing-integrating-components-app","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","cloud platforms; google; application programming interfaces; cloud api; euler's totient function; publish subscribe pattern; cloud computing; integration testing; google cloud platform; authentication","Developing Applications with Google Cloud Platform",3.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.2,52.9]","[NULL]","English","computer-science","software-development","Le_4Ub6XEeepKw4CZoGWJA"]
["Cloud Computing","Cloud Applications","Developing FPGA-accelerated cloud applications with SDAccel: Theory","Politecnico di Milano","Intermediate",8.1,4.59,"https://www.coursera.org/learn/fpga-sdaccel-theory","This course is for anyone passionate in learning how to develop FPGA-accelerated applications with SDAccel!\\n\\nWe are entering in an era in which technology progress induces paradigm shifts in computing!\\nAs a tradeoff between the two extreme characteristics of GPP and ASIC, we can find a new concept, a new idea of computing... the reconfigurable computing, which has combined the advantages of both the previous worlds. Within this context, we can say that reconfigurable computing will widely, pervasively, and gradually impact human lives. Hence, it is time that we focus on how reconfigurable computing and reconfigurable system design techniques are to be utilised for building applications.\\n\\nOne one hand reconfigurable computing can have better performance with respect to a software implementation but paying this in terms of time to implement. On the other hand a reconfigurable device can be used to design a system without requiring the same design time and complexity compared to a full custom solution but being beaten in terms of performance.\\nWithin this context, the Xilinx SDx tools, including the SDAccel environment, the SDSoC environment, and Vivado HLS, provide an out-of-the-box experience for system programmers looking to partition elements of a software application to run in an FPGA-based hardware element, and having that hardware work seamlessly with the rest of the application running in a processor or embedded processor. \\n\\nThe out-of-the-box experience will provide interesting and, let us say, “good enough” results for many applications. \\nHowever, this may not be true for you, you may be looking for better performance, data throughput, reduced latency, or to reduce the resources usage... This course is focusing exactly on this. After introducing you to the FPGAs we are going to dig more into the details on how to use Xilinx SDAccel providing you also with working examples on how to optimize the hardware logic to obtain the best of of your hardware implementations. In this case, certain attributes, directives, or pragmas, can be used to direct the compilation and synthesis of the hardware kernel, or to optimise the function of the data mover operating between the processor and the hardware logic.\\nFurthermore, In this course we are going to focus on distributed, heterogeneous infrastructures, presenting how to bring your solutions to life by using the Amazon EC2 F1 instances.","integration testing; loop unrolling; cloud computing; i-deas; computation; System V; mathematical optimization; cloud infrastructure; cloud applications; ordered pair","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,10.8]","[NULL]","English","computer-science","design-and-product","-lA-jrzcEeiezQpBIJzrKA"]
["Cloud Computing","Cloud Applications","App Deployment, Debugging, and Performance","Google Cloud","Beginner",18.7,4.53,"https://www.coursera.org/learn/app-deployment-debugging-performance","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and debug/monitor application performance. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","google cloud platform; cloud computing; google app engine; integration testing; google compute engine; google; debugging; software bug; cloud platforms; multicloud","Developing Applications with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.6,33.1]","[NULL]","English","computer-science","software-development","d26jecB3EeepZQrj6yeCug"]
["Cloud Computing","Cloud Applications","Getting Started With Application Development","Google Cloud","Intermediate",23.2,4.45,"https://www.coursera.org/learn/getting-started-app-development","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments","cloud computing; cloud platforms; data store; google app engine; graphical environment manager; google; data storage device; cloud storage; google cloud platform; google storage","Developing Applications with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[8.1,41.8]","[NULL]","English","computer-science","software-development","OpMk9L5nEeepKw4CZoGWJA"]
["Cloud Computing","Cloud Clients","Getting Started With Application Development","Google Cloud","Intermediate",23.2,4.45,"https://www.coursera.org/learn/getting-started-app-development","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments","cloud computing; cloud platforms; data store; google app engine; graphical environment manager; google; data storage device; cloud storage; google cloud platform; google storage","Developing Applications with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[8.1,41.8]","[NULL]","English","computer-science","software-development","OpMk9L5nEeepKw4CZoGWJA"]
["Cloud Computing","Cloud Engineering","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Cloud Engineering","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Engineering","Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","Beginner",13.0,4.68,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; kubernetes; javascript; google; cloud platforms; google cloud platform; database; cloud engineering; data clustering algorithms; data uri scheme","Cloud Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[4.9,22.8]","[NULL]","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["Cloud Computing","Cloud Engineering","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Cloud Foundry","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Cloud Computing","Cloud Infrastructure","Hybrid Cloud Multi-Cluster with Anthos","Google Cloud","Beginner",9.6,4.91,"https://www.coursera.org/learn/hybrid-cloud-multi-cluster-anthos","This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.","security; environment variable; dsl modem; bootstrapping node; management; google; algorithms; data clustering algorithms; cluster analysis; ingress router","Architecting Hybrid Cloud Infrastructure with Anthos",3.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[3.6,14.8]","[NULL]","English","information-technology","cloud-computing","CmqxdNvHEembXBIsApwlxg"]
["Cloud Computing","Cloud Infrastructure","Hybrid Cloud Service Mesh with Anthos","Google Cloud","Beginner",14.5,4.89,"https://www.coursera.org/learn/hybrid-cloud-service-mesh-anthos","This on-demand course equips students to understand and adopt Istio-based service-mesh with Anthos for centralized observability, traffic management, and service-level security.","bandwidth management; traffic management; Switch Installation; as a service; google; static routing; security; management; best-effort delivery; terminal access controller","Architecting Hybrid Cloud Infrastructure with Anthos",2.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[5.1,25.1]","[NULL]","English","information-technology","cloud-computing","-ZQ9XdvGEemlzAoVn8pyjg"]
["Cloud Computing","Cloud Infrastructure","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Cloud Infrastructure","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Computing","Cloud Infrastructure","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Cloud Infrastructure","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Cloud Infrastructure","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Computing","Cloud Infrastructure","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Infrastructure","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Infrastructure","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Infrastructure","System Administration and IT Infrastructure Services","Google","Beginner",32.6,4.69,"https://www.coursera.org/learn/system-administration-it-infrastructure-services","This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster.\\n\\nBy the end of this course you’ll be able to:\\n● utilize best practices for choosing hardware, vendors, and services for your organization\\n● understand how the most common infrastructure services that keep an organization\\nrunning work, and how to manage infrastructure servers\\n● understand how to make the most of the cloud for your organization\\n● manage an organization’s computers and users using the directory services, Active\\nDirectory, and OpenLDAP\\n● choose and manage the tools that your organization will use\\n● backup your organization’s data and know how to recover your IT infrastructure in the case of\\na disaster\\n● utilize systems administration knowledge to plan and improve processes for IT environments","disasters; disaster recovery plan; plan; finger protocol; system administration; lightweight directory access protocol; disaster recovery; cloud computing; directory services; backup","Google IT Support",4.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[9.4,61.1]","Arabic; Portuguese; Spanish","English","information-technology","support-and-operations","hBmmv1drEeerkQ5vdwUqtA"]
["Cloud Computing","Cloud Infrastructure","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Infrastructure","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Cloud Infrastructure","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Cloud Infrastructure","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Cloud Infrastructure","Preparing for the Google Cloud Professional Cloud Architect Exam","Google Cloud","Beginner",23.7,4.56,"https://www.coursera.org/learn/preparing-cloud-professional-cloud-architect-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.","breakpoint; cloud computing; mathematical optimization; topology; security testing; cloud platforms; google; business requirements; google cloud platform; provisioning","Cloud Architecture with Google Cloud",6.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.5,36.5]","Japanese; Spanish; Portuguese","English","information-technology","cloud-computing","7G9QP_fWEeiRYAoJyynoUg"]
["Cloud Computing","Cloud Infrastructure","Cloud Networking","University of Illinois at Urbana-Champaign","Intermediate",18.9,4.41,"https://www.coursera.org/learn/cloud-networking","In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network’s future.\\n\\nThis course will allow us to explore in-depth the challenges for cloud networking—how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course.\\n\\nThis course places an emphasis on both operations and design rationale—i.e., how things work and why they were designed this way. We're excited to start the course with you and take a look inside what has become the critical communications infrastructure for many applications today.","distributed computing; software-defined networking; virtual machine; Switches; cloud computing; microsoft azure; cloud infrastructure; python programming; tcp congestion control; table of keyboard shortcuts","Cloud Computing",5.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[12.2,22.9]","Korean","English","computer-science","computer-security-and-networks","BpXc5-SWEeWThQoLOXqDhw"]
["Cloud Computing","Cloud Load Balancing","Networking in Google Cloud: Defining and Implementing Networks","Google Cloud","Beginner",16.9,4.85,"https://www.coursera.org/learn/networking-gcp-defining-implementing-networks","This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.\\n\\nTo get the most out of this course, participants should have:\\n*Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n*Prior understanding of the OSI 7-layer model\\n*Prior understanding of IPv4 addressing\\n*Prior experience with managing IPv4 routes\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud load balancing; network interface; network management; load balancing (computing); google; management; cloud computing; google cloud platform; network load balancing; load balancing","Networking in Google Cloud",2.0,"https://www.coursera.org/specializations/networking-google-cloud-platform","This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager.\\n\\nThis class is intended for the following participants:\\n\\n● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so\\n\\n● Individuals who want to be exposed to software-defined networking solutions in the cloud.\\n\\nTo get the most out of this course, participants should have:\\n\\n*Prior understanding of the OSI 7-layer model\\n\\n*Prior understanding of IPv4 addressing\\n\\n*Prior experience with managing IPv4 routes","[8.8,20]","[NULL]","English","information-technology","networking","dEWOXIntEeixGA4Edp1TqA"]
["Cloud Computing","Cloud Load Balancing","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Computing","Cloud Load Balancing","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Cloud Load Balancing","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Load Balancing","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Load Balancing","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Cloud Load Balancing","Getting Started with Google Kubernetes Engine","Google Cloud","Beginner",7.6,4.48,"https://www.coursera.org/learn/google-kubernetes-engine","This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.  Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.\\n\\nAt the end of the course, you will be able to:\\n• Understand container basics\\n• Containerize an existing application\\n• Understand Kubernetes concepts and principles\\n• Deploy applications to Kubernetes using the CLI\\n• Set up a continuous delivery pipeline using Jenkins\\n• Locate more documentation and training.\\n\\nTo get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.\\n\\nNote: This is an abbreviated overview of Kubernetes. For the full Kubernetes content see the Architecting with Google Kubernetes Engine Specialization or start with the Architecting with Google Kubernetes Engine: Foundations course.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google container engine; jenkins (software); spinnaker; google; kubernetes; cloud platforms; google cloud platform; continuous delivery; cloud computing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.5,8.2]","Spanish; Japanese","English","information-technology","cloud-computing","lAe6xrqUEeeJRwrm1qGMrA"]
["Cloud Computing","Cloud Management","Networking and Security Architecture with VMware NSX","VMware","Intermediate",18.6,4.79,"https://www.coursera.org/learn/networking-security-architecture-vmware-nsx","This 8 week online course equips learners with the basics of network virtualization with VMware NSX.\\n\\nTo get the most of this course, you should have familiarity with generic IT concepts of routing, switching, firewalling, disaster recovery, business continuity, cloud and security.\\n\\nAt the end of the course, you will be able to:\\n•\\tUnderstand network virtualization basics\\n•\\tDescribe NSX business value and use cases\\n•\\tExplain how NSX is different from traditional networking\\n•\\tSummarize networking and security solution architecture with VMware NSX around these key areas:\\n          + Micro-segmentation\\n          + Automation with OpenStack\\n          + Automation with VMware vRealize Automation\\n          + Disaster Recovery and Business Continuity\\n          + Operational Transformation\\n•\\tDemonstrate understanding through hands-on experience\\n•\\tDevelop a learning plan for network virtualization certification\\n\\nIf you are new to network virtualization, download our Network Virtualization for Dummies guide. \\nhttp://learn.vmware.com/36350_NSX_ITAutomation_Reg?src=af_5acfd24cebb90&cid=70134000001YR9b\\n\\nAll Hands on Labs referenced in this course are OPTIONAL and available for FREE. Direct links to free labs can be found on the Resources Tab or you can access our full library at https://labs.hol.vmware.com/HOL/catalogs/catalog/877","hypervisor; network security; data centers; cloud computing; cloud management; amazon web services; web; openstack; cybersecurity; disaster recovery","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.9]","[NULL]","English","information-technology","networking","mmviMR5tEeiUvhKWiCWCXA"]
["Cloud Computing","Cloud Management","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Management","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Management","Configuration Management and the Cloud","Google","Advanced",12.0,4.66,"https://www.coursera.org/learn/configuration-management-cloud","In this course, you’ll learn how to apply automation to manage fleets of computers. You’ll understand how to automate the process for deploying new computers, keeping those machines updated, managing large-scale changes, and a lot more. We'll discuss managing both physical machines running in our offices and virtual machines running in the Cloud.\\n\\nWe'll start by looking into an automation technique called configuration management, which lets you manage the configuration of our computers at scale. Specifically, you'll learn how to use Puppet, the current industry standard for configuration management. We'll look at some simple examples, and then see how we can apply the same concepts to more complex cases. You’ll be a Puppet-master in no time!\\n\\nLater on, you'll expand your automation skills by understanding how to use the Cloud to help scale your infrastructure. You'll check out some best practices for handling hundreds of virtual machines running in the Cloud and troubleshooting them when things don't go according to plan.","computer programming; Puppet (software); google; computer science; python programming; software testing; google cloud platform; cloud computing; cloud platforms; linux","Google IT Automation with Python",5.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[6.7,18.7]","[NULL]","English","information-technology","cloud-computing","HuWcu1FtEemShQpcsklh7g"]
["Cloud Computing","Cloud Management","Moving to the Cloud","The University of Melbourne","Beginner",17.0,4.49,"https://www.coursera.org/learn/cloud-computing-adoption","The cloud is taking business by storm.  In fact, due to the extraordinary growth of the cloud, it has been described as a tornado, not a fluffy white floating object!\\n\\nCommercial research analysts consider cloud as one of the most significant trends with a potential to change the whole global IT industry.  Governments, including those in the US, Britain, and Australia, have cloud-first policies now in place which mandate cloud over non-cloud services in ICT procurement.  But CIOs and other senior executives, while it's on the majority of their agendas, aren't sure what it really means for their organisations - how to leverage the benefits, control the commercials, manage the business risk, and adapt their organisations.  \\n\\nWhile it is important to set requirements, negotiate commercials (terms, service level agreements, and pricing), and sign the contract - it is also critical that we develop a clear plan for ‘Moving to the Cloud’ which realigns our business architecture, organization and most importantly our people.\\nThis course provides the answers that management must know to be successful and realise the benefits:\\n\\n•\\tWhere should I go cloud? \\n•\\tWhat are the commercials?\\n•\\tWhere is my leverage?\\n•\\tHow do I realign my business practices and architecture?\\n•\\tHow do I gear up my people and structure my organisation?\\n\\nView the MOOC promotional video here: http://tinyurl.com/hvtz2ph","procurement; enterprise architecture; management; change management; enabling; disruptive innovation; critical success factor; cloud computing; plan; business architecture","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.6,20.2]","Arabic","English","business","business-strategy","kwoH0Ux5EeW_MgoxMAgbMQ"]
["Cloud Computing","Cloud Management","Cloud Computing Basics (Cloud 101)","LearnQuest","Beginner",7.6,4.45,"https://www.coursera.org/learn/cloud-computing-basics","Welcome to Cloud Computing Basics (Cloud 101). \\n\\nOver the next few weeks, we will discuss the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing.","internet; cost; application programming interfaces; technical support; need; learning; cloud computing; help desk; google; internet of things","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.4,9.7]","[NULL]","English","information-technology","cloud-computing","2wbw9dsHEemZYA6RFvxeDg"]
["Cloud Computing","Cloud Platforms","Hybrid Cloud Multi-Cluster with Anthos","Google Cloud","Beginner",9.6,4.91,"https://www.coursera.org/learn/hybrid-cloud-multi-cluster-anthos","This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.","security; environment variable; dsl modem; bootstrapping node; management; google; algorithms; data clustering algorithms; cluster analysis; ingress router","Architecting Hybrid Cloud Infrastructure with Anthos",3.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[3.6,14.8]","[NULL]","English","information-technology","cloud-computing","CmqxdNvHEembXBIsApwlxg"]
["Cloud Computing","Cloud Platforms","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Cloud Platforms","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Platforms","Configuration Management and the Cloud","Google","Advanced",12.0,4.66,"https://www.coursera.org/learn/configuration-management-cloud","In this course, you’ll learn how to apply automation to manage fleets of computers. You’ll understand how to automate the process for deploying new computers, keeping those machines updated, managing large-scale changes, and a lot more. We'll discuss managing both physical machines running in our offices and virtual machines running in the Cloud.\\n\\nWe'll start by looking into an automation technique called configuration management, which lets you manage the configuration of our computers at scale. Specifically, you'll learn how to use Puppet, the current industry standard for configuration management. We'll look at some simple examples, and then see how we can apply the same concepts to more complex cases. You’ll be a Puppet-master in no time!\\n\\nLater on, you'll expand your automation skills by understanding how to use the Cloud to help scale your infrastructure. You'll check out some best practices for handling hundreds of virtual machines running in the Cloud and troubleshooting them when things don't go according to plan.","computer programming; Puppet (software); google; computer science; python programming; software testing; google cloud platform; cloud computing; cloud platforms; linux","Google IT Automation with Python",5.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[6.7,18.7]","[NULL]","English","information-technology","cloud-computing","HuWcu1FtEemShQpcsklh7g"]
["Cloud Computing","Cloud Platforms","Google Cloud Platform Fundamentals for AWS Professionals","Google Cloud","Intermediate",10.4,4.63,"https://www.coursera.org/learn/gcp-fundamentals-aws","This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.\\n\\nLearning Objectives\\n\\nThis course teaches participants the following skills:\\n● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more\\n● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more\\n● Manage and monitor applications\\n● Explain feature and pricing model differences\\n● Locate documentation and training.\\n\\nPrerequisites\\n\\nTo get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.","relative change and difference; google cloud platform; data clustering algorithms; virtual machine; google; cloud platforms; cloud computing; interoperability; amazon redshift; load balancing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,12.3]","[NULL]","English","computer-science","computer-security-and-networks","_qMNfupfEea9sQ4_cyco6A"]
["Cloud Computing","Cloud Platforms","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Cloud Platforms","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Cloud Computing","Cloud Platforms","Industrial IoT on Google Cloud Platform","Google Cloud","Advanced",53.2,4.57,"https://www.coursera.org/learn/iiot-google-cloud-platform","By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<\\n\\nWelcome to the Coursera course, Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) brought to you by the Google Cloud team. I’m Catherine Gamboa and I’m going to be your guide.\\n\\nThis course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side.  You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT.  The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs.  \\n\\nThis course takes about two weeks to complete, 11-12 hours of work with 6 of those hours spent in labs.  By the end of this course, you’ll be able to: create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep.  You'll learn and practice these skills in 7 labs.  Then you'll have an opportunity to test yourself in an optional capstone lab using simulated devices or Cloud IoT Core Inspector.","dataflow; mqtt; internet; internet of things; cloud computing; bigquery; publish subscribe pattern; google; google cloud platform; cloud platforms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,98.3]","[NULL]","English","computer-science","software-development","FV7TEr1MEeiH_hJIOsoMdg"]
["Cloud Computing","Cloud Platforms","How Google does Machine Learning","Google Cloud","Beginner",16.6,4.56,"https://www.coursera.org/learn/google-machine-learning","What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. \\n\\nThen, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","learning; google cloud platform; bigquery; google; google compute engine; machine learning; cloud computing; application programming interfaces; cloud api; cloud platforms","Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[6.2,23.7]","Japanese; Portuguese; Spanish; German; French","English","data-science","machine-learning","BIU_pgCCEeiZdg6RDGBSdg"]
["Cloud Computing","Cloud Platforms","Building Conversational Experiences with Dialogflow","Google Cloud","Beginner",12.2,4.43,"https://www.coursera.org/learn/conversational-experiences-dialogflow","This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","data storage device; cloud computing; google; cloud platforms; google cloud platform; artificial intelligence; google app engine; dialog system; chatterbots; device file","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,19.2]","[NULL]","English","computer-science","software-development","A08bmt7QEeiEtg6CbLLNrg"]
["Cloud Computing","Cloud Standards","Cloud Computing Basics (Cloud 101)","LearnQuest","Beginner",7.6,4.45,"https://www.coursera.org/learn/cloud-computing-basics","Welcome to Cloud Computing Basics (Cloud 101). \\n\\nOver the next few weeks, we will discuss the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing.","internet; cost; application programming interfaces; technical support; need; learning; cloud computing; help desk; google; internet of things","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.4,9.7]","[NULL]","English","information-technology","cloud-computing","2wbw9dsHEemZYA6RFvxeDg"]
["Cloud Computing","Cloud Standards","Cloud Computing Concepts, Part 1","University of Illinois at Urbana-Champaign","Intermediate",38.7,4.34,"https://www.coursera.org/learn/cloud-computing","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.","mapreduce; gossip; cloud computing; distributed computing; algorithms; integration testing; c++; multicast; distributed algorithm; gossip protocol","Cloud Computing",1.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[26.8,44.8]","Korean","English","computer-science","algorithms","op_vMOGiEeWr4g7T_DyXNw"]
["Cloud Computing","Cloud Storage","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Cloud Storage","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Cloud Storage","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Cloud Computing","Cloud Storage","Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","Beginner",11.2,4.66,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.","sql; data lake; cluster analysis; data clustering algorithms; algorithms; bigquery; google; cloud storage; data warehousing; cloud computing","Data Engineering, Big Data, and Machine Learning on GCP",2.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.9,13.7]","[NULL]","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["Cloud Computing","Cloud Storage","Google Cloud Platform Fundamentals for AWS Professionals","Google Cloud","Intermediate",10.4,4.63,"https://www.coursera.org/learn/gcp-fundamentals-aws","This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.\\n\\nLearning Objectives\\n\\nThis course teaches participants the following skills:\\n● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more\\n● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more\\n● Manage and monitor applications\\n● Explain feature and pricing model differences\\n● Locate documentation and training.\\n\\nPrerequisites\\n\\nTo get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.","relative change and difference; google cloud platform; data clustering algorithms; virtual machine; google; cloud platforms; cloud computing; interoperability; amazon redshift; load balancing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,12.3]","[NULL]","English","computer-science","computer-security-and-networks","_qMNfupfEea9sQ4_cyco6A"]
["Cloud Computing","Cloud Storage","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",10.5,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon web services; amazon dynamodb; web service; cloud computing; database; amazon elastic compute cloud; autoscaling; relational database; web; load balancing","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","[4.4,14.3]","[NULL]","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["Cloud Computing","Cloud Storage","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Cloud Computing","Cloud Storage","Preparing for the Google Cloud Professional Data Engineer Exam","Google Cloud","Beginner",14.6,4.59,"https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.","cloud computing; information engineering; data analysis; data structure; Mapping; mathematical optimization; machine learning; google; 4dos; google cloud platform","Data Engineering with Google Cloud",6.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[8.5,17.2]","[NULL]","English","information-technology","cloud-computing","AZZak_fXEeiy5gqB-GZ7rA"]
["Cloud Computing","Cloud Storage","How Google does Machine Learning","Google Cloud","Beginner",16.6,4.56,"https://www.coursera.org/learn/google-machine-learning","What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. \\n\\nThen, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","learning; google cloud platform; bigquery; google; google compute engine; machine learning; cloud computing; application programming interfaces; cloud api; cloud platforms","Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[6.2,23.7]","Japanese; Portuguese; Spanish; German; French","English","data-science","machine-learning","BIU_pgCCEeiZdg6RDGBSdg"]
["Cloud Computing","Cloud Storage","Getting Started With Application Development","Google Cloud","Intermediate",23.2,4.45,"https://www.coursera.org/learn/getting-started-app-development","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments","cloud computing; cloud platforms; data store; google app engine; graphical environment manager; google; data storage device; cloud storage; google cloud platform; google storage","Developing Applications with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[8.1,41.8]","[NULL]","English","computer-science","software-development","OpMk9L5nEeepKw4CZoGWJA"]
["Cloud Computing","Cloud-Based Integration","Cloud Computing Basics (Cloud 101)","LearnQuest","Beginner",7.6,4.45,"https://www.coursera.org/learn/cloud-computing-basics","Welcome to Cloud Computing Basics (Cloud 101). \\n\\nOver the next few weeks, we will discuss the basics of Cloud computing: what it is, what it supports, and how it is delivered. We will delve into storage services, Cloud economics, levels of managed infrastructure, and Azure services. We will also explore different deployment models of Cloud computing, as well as several hosting scenarios. Last but not least, we will compare some of the cloud platforms and discuss the future of cloud computing.","internet; cost; application programming interfaces; technical support; need; learning; cloud computing; help desk; google; internet of things","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.4,9.7]","[NULL]","English","information-technology","cloud-computing","2wbw9dsHEemZYA6RFvxeDg"]
["Cloud Computing","Cloud-Based Integration","Cloud Computing Concepts, Part 1","University of Illinois at Urbana-Champaign","Intermediate",38.7,4.34,"https://www.coursera.org/learn/cloud-computing","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.","mapreduce; gossip; cloud computing; distributed computing; algorithms; integration testing; c++; multicast; distributed algorithm; gossip protocol","Cloud Computing",1.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[26.8,44.8]","Korean","English","computer-science","algorithms","op_vMOGiEeWr4g7T_DyXNw"]
["Cloud Computing","Google App Engine","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Google App Engine","Architecting with Google Kubernetes Engine: Foundations","Google Cloud","Beginner",9.2,4.71,"https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Foundations,\" you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\nNote: Those seeking an abbreviated overview of Kubernetes may want to consider Getting Started with Google Kubernetes Engine.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","kubernetes; data clustering algorithms; devops; google cloud platform; cloud platforms; cloud computing; euler's totient function; integration testing; google; control plane","Architecting with Google Kubernetes Engine",2.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5.1,11.2]","French; Spanish; Japanese; German; Portuguese","English","computer-science","software-development","aOin7ERUEemzhg5D25f0SA"]
["Cloud Computing","Google App Engine","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Google App Engine","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Cloud Computing","Google App Engine","Securing and Integrating Components of your Application","Google Cloud","Beginner",28.1,4.59,"https://www.coursera.org/learn/securing-integrating-components-app","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","cloud platforms; google; application programming interfaces; cloud api; euler's totient function; publish subscribe pattern; cloud computing; integration testing; google cloud platform; authentication","Developing Applications with Google Cloud Platform",3.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.2,52.9]","[NULL]","English","computer-science","software-development","Le_4Ub6XEeepKw4CZoGWJA"]
["Cloud Computing","Google App Engine","App Deployment, Debugging, and Performance","Google Cloud","Beginner",18.7,4.53,"https://www.coursera.org/learn/app-deployment-debugging-performance","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and debug/monitor application performance. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","google cloud platform; cloud computing; google app engine; integration testing; google compute engine; google; debugging; software bug; cloud platforms; multicloud","Developing Applications with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.6,33.1]","[NULL]","English","computer-science","software-development","d26jecB3EeepZQrj6yeCug"]
["Cloud Computing","Google App Engine","Develop and Deploy Windows Applications on Google Cloud Platform","Google Cloud","Intermediate",20.1,4.53,"https://www.coursera.org/learn/develop-windows-apps-gcp","Learn to deploy and run Microsoft Windows® applications on Google Cloud Platform (GCP). Through lectures and hands-on labs, learn how to configure and run Microsoft Windows and Microsoft SQL Server in Google Compute Engine. You will also learn how to develop and deploy ASP.NET applications and deploy them to Google Compute Engine, Google App Engine, and Google Container Engine.\\n\\nCourse objectives\\nThis course teaches participants the following skills:\\n• Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine\\n• Deploying ASP.NET MVC applications to Google Compute Engine\\n• Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine\\n\\nPre-requisites\\n• System-administration or application-development experience with Microsoft Windows\\n• A general familiarity with cloud computing","cloud platforms; recursively enumerable set; google; SQL Server; google cloud platform; google compute engine; cloud computing; load balancing; microsoft visual studio; openfabrics alliance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.6,33.3]","[NULL]","English","computer-science","computer-security-and-networks","coKKdodfEee-nQrsYRBh-g"]
["Cloud Computing","Google App Engine","End-to-End Machine Learning with TensorFlow on GCP","Google Cloud","Beginner",16.9,4.5,"https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp","In the first course of this specialization, we will recap what was covered in the  Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).\\n\\nOne of the best ways to review something is to work with the concepts and technologies that you have learned.\\n\\nSo, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform\\n\\nPrerequisites:\\nBasic SQL, familiarity with Python and TensorFlow\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","machine learning; tensorflow; google; cloud platforms; cloud computing; google cloud platform; dataflow; advanced machine learning; bigquery; learning","Advanced Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[5.9,25.6]","[NULL]","English","data-science","data-analysis","V4QRgobREei8Cw6fDgqybg"]
["Cloud Computing","Google App Engine","Getting Started With Application Development","Google Cloud","Intermediate",23.2,4.45,"https://www.coursera.org/learn/getting-started-app-development","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate GCP storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments","cloud computing; cloud platforms; data store; google app engine; graphical environment manager; google; data storage device; cloud storage; google cloud platform; google storage","Developing Applications with Google Cloud Platform",2.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[8.1,41.8]","[NULL]","English","computer-science","software-development","OpMk9L5nEeepKw4CZoGWJA"]
["Cloud Computing","Google App Engine","Building Conversational Experiences with Dialogflow","Google Cloud","Beginner",12.2,4.43,"https://www.coursera.org/learn/conversational-experiences-dialogflow","This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API, and operationalize it using Google Cloud tools.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","data storage device; cloud computing; google; cloud platforms; google cloud platform; artificial intelligence; google app engine; dialog system; chatterbots; device file","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,19.2]","[NULL]","English","computer-science","software-development","A08bmt7QEeiEtg6CbLLNrg"]
["Cloud Computing","Google Cloud Platform","Migrating to Google Cloud Platform","Google Cloud","Beginner",27.8,5.0,"https://www.coursera.org/learn/migrating-to-gcp","This training course introduces participants to migrating workloads to Google Cloud Platform. The course explains the strategies to migrate from the source environment to the cloud. Participants are introduced to Google Cloud Platform's fundamental concepts and more in depth topics, like managing virtual machines and configuring networks. In addition to learning how to use Google Cloud Platform, the participants learn how to leverage Google's workload mobility application, Migrate for Compute Engine. The training covers the installation and migration process, including special features like test clones and wave migrations. The course also covers topics related to governance, including resource hierarchy, user identities in the cloud, and Active Directory. Lastly, participants learn how to monitor and log their environment with Stackdriver, leverage the elasticity of the cloud with managed instance groups, and use a global load balancer. \\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","load balancing; central processing unit; average; cloud computing; virtual private cloud; google cloud platform; load balancing (computing); virtual machine; integration testing; percentile","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16,33.8]","[NULL]","English","information-technology","cloud-computing","g3reojidEeqP1g6x55It5w"]
["Cloud Computing","Google Cloud Platform","Hybrid Cloud Multi-Cluster with Anthos","Google Cloud","Beginner",9.6,4.91,"https://www.coursera.org/learn/hybrid-cloud-multi-cluster-anthos","This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.","security; environment variable; dsl modem; bootstrapping node; management; google; algorithms; data clustering algorithms; cluster analysis; ingress router","Architecting Hybrid Cloud Infrastructure with Anthos",3.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[3.6,14.8]","[NULL]","English","information-technology","cloud-computing","CmqxdNvHEembXBIsApwlxg"]
["Cloud Computing","Google Cloud Platform","Optimizing Your Google Cloud Platform (GCP) Costs","Google Cloud","Intermediate",12.9,4.88,"https://www.coursera.org/learn/gcp-cost-optimization","Optimizing Your Google Cloud Platform (GCP) Costs is the second course in a two-part series on GCP billing and cost management essentials. \\n\\nThis course is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. \\n\\nYou'll learn several ways to control and optimize your GCP costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. \\n\\nIn the hands-on labs, you’ll practice using various tools to control and optimize your GCP costs or to influence your technology teams to apply the cost optimization best practices.","cloud computing; mathematical optimization; cost; days in inventory; finance; maturity models; bigquery; management; google cloud platform; euler's totient function","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,22.8]","[NULL]","English","information-technology","cloud-computing","C5ucXxW2Eeq_AwrLVgw3Ew"]
["Cloud Computing","Google Cloud Platform","Networking in Google Cloud: Defining and Implementing Networks","Google Cloud","Beginner",16.9,4.85,"https://www.coursera.org/learn/networking-gcp-defining-implementing-networks","This self-paced training course gives participants broad study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets and firewalls. The course also covers access control to networks, sharing networks and load balancing.\\n\\nTo get the most out of this course, participants should have:\\n*Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n*Prior understanding of the OSI 7-layer model\\n*Prior understanding of IPv4 addressing\\n*Prior experience with managing IPv4 routes\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud load balancing; network interface; network management; load balancing (computing); google; management; cloud computing; google cloud platform; network load balancing; load balancing","Networking in Google Cloud",2.0,"https://www.coursera.org/specializations/networking-google-cloud-platform","This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager.\\n\\nThis class is intended for the following participants:\\n\\n● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so\\n\\n● Individuals who want to be exposed to software-defined networking solutions in the cloud.\\n\\nTo get the most out of this course, participants should have:\\n\\n*Prior understanding of the OSI 7-layer model\\n\\n*Prior understanding of IPv4 addressing\\n\\n*Prior experience with managing IPv4 routes","[8.8,20]","[NULL]","English","information-technology","networking","dEWOXIntEeixGA4Edp1TqA"]
["Cloud Computing","Google Cloud Platform","Networking in Google Cloud: Hybrid Connectivity and Network Management","Google Cloud","Beginner",16.0,4.82,"https://www.coursera.org/learn/networking-gcp-hybrid-connectivity-network-management","This self-paced training course builds on the Networking in Google Cloud: Defining and Implementing Networks course and enhances participants study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as the interconnection among networks, common network design patterns and the automated deployment of networks using Deployment Manager or Terraform. The course also covers networking pricing and billing to help you  optimize your network spend and monitoring and logging features that can help you troubleshoot your Google Cloud network infrastructure.\\n\\nTo get the most out of this course, participants should have:\\n*Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n*Completed Networking in Google Cloud: Defining and Implementing Networks \\n*Prior understanding of the OSI 7-layer model\\n*Prior understanding of IPv4 addressing\\n*Prior experience with managing IPv4 routes","Planning; google; network planning and design; network monitoring; google cloud platform; cloud computing; network service; network analysis; management; network management","Networking in Google Cloud",3.0,"https://www.coursera.org/specializations/networking-google-cloud-platform","This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager.\\n\\nThis class is intended for the following participants:\\n\\n● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so\\n\\n● Individuals who want to be exposed to software-defined networking solutions in the cloud.\\n\\nTo get the most out of this course, participants should have:\\n\\n*Prior understanding of the OSI 7-layer model\\n\\n*Prior understanding of IPv4 addressing\\n\\n*Prior experience with managing IPv4 routes","[7.2,19.2]","[NULL]","English","information-technology","networking","UcnQ8LXsEeicHA7pKRXCQg"]
["Cloud Computing","Google Cloud Platform","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Google Cloud Platform","Google Cloud Product Fundamentals","Google Cloud","Advanced",7.0,4.74,"https://www.coursera.org/learn/google-cloud-product-fundamentals","This course builds on the Business Transformation with Google Cloud course by taking you on a journey into the technology lens of an organization's transformation. Specifically, we'll explain how an organization can achieve digital transformation using Google Cloud's technology through the following categories: modernizing its IT infrastructure, upgrading the way in which its teams develop applications that run a business, how it can leverage machine learning and artificial intelligence to build new value, how using cloud-based productivity tools like GSuite are essential to the way work gets done, and understand the cost management opportunities and challenges that come with a changing cloud-based IT infrastructure. \\n\\nThroughout the course, we'll explain core concepts such as compute, applications, security, APIs, databases, and their roles in digital transformation. You'll also learn about specific examples where different cloud technology has been used and the benefits they've created for individuals and companies globally. More importantly, we'll equip you with the knowledge you'll need to either lead or influence digital transformation projects, collaborating with the right stakeholders.","cloud infrastructure; architecture; google cloud platform; cost; learning; cloud platforms; management; cloud computing; google","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.4,8.6]","[NULL]","English","business","business-strategy","m9Rh-EPaEeqEIAr9EHdN-Q"]
["Cloud Computing","Google Cloud Platform","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Google Cloud Platform","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Computing","Google Cloud Platform","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Google Cloud Platform","Business Transformation with Google Cloud","Google Cloud","Beginner",8.7,4.71,"https://www.coursera.org/learn/business-transformation-google-cloud","What is cloud technology or data science and what’s all the hype about? More importantly, what can it do for you, your team, and your business? \\n\\nIf you want to learn about cloud technology so you can excel in your role, help build the future of your business and thrive in the cloud era, then the Business Transformation with Google Cloud course is for you. Through this interactive training, you’ll learn about core cloud business drivers—specifically Google’s cloud—and gain the knowledge/skills to determine if business transformation is right for you and your team, and build short and long-term projects using the “superpowers” of cloud accordingly. You’ll also find several templates, guides, and resource links through the supplementary student workbook to help you build a custom briefing document to share with your leadership, technical teams or partners.\\n\\nPrimary Audience:\\nBusiness decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of Google’s cloud technology for business improvement opportunities and transformational project(s).","security; business case; google; cloud computing security; cloud computing; business transformation; at&t hobbit; 4dos; analysis; brainstorming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.8,10.8]","[NULL]","English","business","business-strategy","1PkWzR59EemY4g4sf5CaYA"]
["Cloud Computing","Google Cloud Platform","Mitigating Security Vulnerabilities on Google Cloud Platform","Google Cloud","Beginner",12.2,4.71,"https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; uniform resource locator; cloud computing; denial-of-service attacks; security; vulnerability (computing); digital signature; privacy; authorization; google cloud platform","Security in Google Cloud Platform",3.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.8,14.4]","[NULL]","English","information-technology","cloud-computing","BkQTO_GxEeiCNw6qJOIwLA"]
["Cloud Computing","Google Cloud Platform","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Google Cloud Platform","Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","Beginner",13.0,4.68,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; kubernetes; javascript; google; cloud platforms; google cloud platform; database; cloud engineering; data clustering algorithms; data uri scheme","Cloud Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[4.9,22.8]","[NULL]","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["Cloud Computing","Google Cloud Platform","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Google Cloud Platform","Managing Security in Google Cloud Platform","Google Cloud","Beginner",14.0,4.65,"https://www.coursera.org/learn/managing-security-in-google-cloud-platform","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google cloud platform; load balancing; google; a priori; principle of least privilege; cloud computing; security; cloud computing security; cloud platforms; authentication","Security in Google Cloud Platform",2.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8,16.4]","[NULL]","English","information-technology","cloud-computing","NBJxE-OmEeiWYg6-QHiENg"]
["Cloud Computing","Google Cloud Platform","Google Cloud Platform Fundamentals for AWS Professionals","Google Cloud","Intermediate",10.4,4.63,"https://www.coursera.org/learn/gcp-fundamentals-aws","This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.\\n\\nLearning Objectives\\n\\nThis course teaches participants the following skills:\\n● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more\\n● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more\\n● Manage and monitor applications\\n● Explain feature and pricing model differences\\n● Locate documentation and training.\\n\\nPrerequisites\\n\\nTo get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.","relative change and difference; google cloud platform; data clustering algorithms; virtual machine; google; cloud platforms; cloud computing; interoperability; amazon redshift; load balancing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,12.3]","[NULL]","English","computer-science","computer-security-and-networks","_qMNfupfEea9sQ4_cyco6A"]
["Cloud Computing","Google Cloud Platform","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Cloud Computing","Google Cloud Platform","Industrial IoT on Google Cloud Platform","Google Cloud","Advanced",53.2,4.57,"https://www.coursera.org/learn/iiot-google-cloud-platform","By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<\\n\\nWelcome to the Coursera course, Industrial Internet of Things (IoT) on Google Cloud Platform (GCP) brought to you by the Google Cloud team. I’m Catherine Gamboa and I’m going to be your guide.\\n\\nThis course covers the entire Industrial IoT network architecture from sensors and devices to analysis. The course discusses sensors and devices but the focus is on the cloud side.  You'll learn about the importance of scaling, device communication, and processing streaming data. The course uses simulated devices in the labs to allow you to concentrate on learning the cloud side of IIoT.  The course is a little different than most Coursera courses because there is very little video. Most of the learning is done with short readings, quizzes, and labs.  \\n\\nThis course takes about two weeks to complete, 11-12 hours of work with 6 of those hours spent in labs.  By the end of this course, you’ll be able to: create a streaming data pipeline, to create registries with Cloud IoT Core, topics and subscriptions with Cloud Pub/Sub, store data on Google Cloud Storage, query the data in BigQuery, and gain data insights with Dataprep.  You'll learn and practice these skills in 7 labs.  Then you'll have an opportunity to test yourself in an optional capstone lab using simulated devices or Cloud IoT Core Inspector.","dataflow; mqtt; internet; internet of things; cloud computing; bigquery; publish subscribe pattern; google; google cloud platform; cloud platforms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,98.3]","[NULL]","English","computer-science","software-development","FV7TEr1MEeiH_hJIOsoMdg"]
["Cloud Computing","Google Cloud Platform","Preparing for the Google Cloud Professional Cloud Architect Exam","Google Cloud","Beginner",23.7,4.56,"https://www.coursera.org/learn/preparing-cloud-professional-cloud-architect-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.","breakpoint; cloud computing; mathematical optimization; topology; security testing; cloud platforms; google; business requirements; google cloud platform; provisioning","Cloud Architecture with Google Cloud",6.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.5,36.5]","Japanese; Spanish; Portuguese","English","information-technology","cloud-computing","7G9QP_fWEeiRYAoJyynoUg"]
["Cloud Computing","Google Cloud Platform","How Google does Machine Learning","Google Cloud","Beginner",16.6,4.56,"https://www.coursera.org/learn/google-machine-learning","What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. \\n\\nThen, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","learning; google cloud platform; bigquery; google; google compute engine; machine learning; cloud computing; application programming interfaces; cloud api; cloud platforms","Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[6.2,23.7]","Japanese; Portuguese; Spanish; German; French","English","data-science","machine-learning","BIU_pgCCEeiZdg6RDGBSdg"]
["Cloud Computing","Google Cloud Platform","Develop and Deploy Windows Applications on Google Cloud Platform","Google Cloud","Intermediate",20.1,4.53,"https://www.coursera.org/learn/develop-windows-apps-gcp","Learn to deploy and run Microsoft Windows® applications on Google Cloud Platform (GCP). Through lectures and hands-on labs, learn how to configure and run Microsoft Windows and Microsoft SQL Server in Google Compute Engine. You will also learn how to develop and deploy ASP.NET applications and deploy them to Google Compute Engine, Google App Engine, and Google Container Engine.\\n\\nCourse objectives\\nThis course teaches participants the following skills:\\n• Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine\\n• Deploying ASP.NET MVC applications to Google Compute Engine\\n• Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine\\n\\nPre-requisites\\n• System-administration or application-development experience with Microsoft Windows\\n• A general familiarity with cloud computing","cloud platforms; recursively enumerable set; google; SQL Server; google cloud platform; google compute engine; cloud computing; load balancing; microsoft visual studio; openfabrics alliance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.6,33.3]","[NULL]","English","computer-science","computer-security-and-networks","coKKdodfEee-nQrsYRBh-g"]
["Cloud Computing","Google Cloud Platform","Getting Started with Google Kubernetes Engine","Google Cloud","Beginner",7.6,4.48,"https://www.coursera.org/learn/google-kubernetes-engine","This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.  Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.\\n\\nAt the end of the course, you will be able to:\\n• Understand container basics\\n• Containerize an existing application\\n• Understand Kubernetes concepts and principles\\n• Deploy applications to Kubernetes using the CLI\\n• Set up a continuous delivery pipeline using Jenkins\\n• Locate more documentation and training.\\n\\nTo get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.\\n\\nNote: This is an abbreviated overview of Kubernetes. For the full Kubernetes content see the Architecting with Google Kubernetes Engine Specialization or start with the Architecting with Google Kubernetes Engine: Foundations course.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google container engine; jenkins (software); spinnaker; google; kubernetes; cloud platforms; google cloud platform; continuous delivery; cloud computing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.5,8.2]","Spanish; Japanese","English","information-technology","cloud-computing","lAe6xrqUEeeJRwrm1qGMrA"]
["Cloud Computing","Google Cloud Platform","Understanding Your Google Cloud Platform (GCP) Costs","Google Cloud","Beginner",9.2,4.44,"https://www.coursera.org/learn/gcp-cost-management","Understanding Your Google Cloud Platform (GCP) Costs is most suitable for those working in a technology or finance role who are responsible for managing GCP costs. \\n\\nYou’ll learn how to set up a billing account, organize resources, and manage billing access permissions. \\n\\nIn the hands-on labs, you'll learn how to view your invoice, track your GCP costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Data Studio.\\t\\t\\n\\nStudents enrolling in this course do not need any prior Google Cloud technical experience.","management; Market Dynamics; data uri scheme; finance; notification service; Oracle Financials; Human Capital Management System (HCMS); Cash Application; cost; consent management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.4,11.3]","[NULL]","English","information-technology","cloud-computing","tBTI_mtAEei3MApPr8ib6A"]
["Cloud Computing","Google Cloud Platform","Site Reliability Engineering: Measuring and Managing Reliability","Google Cloud","Advanced",21.6,4.29,"https://www.coursera.org/learn/site-reliability-engineering-slos","This course teaches the theory of Service Level Objectives (SLOs), a principled way of describing and measuring the desired reliability of a service. Upon completion, learners should be able to apply these principles to develop the first SLOs for services they are familiar with in their own organizations.\\n\\nLearners will also learn how to use Service Level Indicators (SLIs) to quantify reliability and Error Budgets to drive business decisions around engineering for greater reliability.  The learner will  understand the components of a meaningful SLI and walk through the process of developing SLIs and SLOs for an example service.","systems design; architecture; safety engineering; hope; reliability engineering; site reliability engineering; user journey; gratitude; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,27.1]","Spanish","English","information-technology","cloud-computing","zMg9YpBtEeiWbhI9enrBdA"]
["Cloud Computing","IBM Cloud","AI Workflow: AI in Production","IBM","Advanced",10.8,5.0,"https://www.coursera.org/learn/ibm-ai-workflow-ai-production","This is the sixth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.    \\n\\nThis course focuses on models in production at a hypothetical streaming media company.  There is an introduction to IBM Watson Machine Learning.  You will build your own API in a Docker container and learn how to manage containers with Kubernetes.  The course also introduces  several other tools in the IBM ecosystem designed to help deploy or maintain models in production.  The AI workflow is not a linear process so there is some time dedicated to the most important feedback loops in order to promote efficient iteration on the overall workflow.\\n \\nBy the end of this course you will be able to:\\n1.  Use Docker to deploy a flask application\\n2.  Deploy a simple UI to integrate the ML model, Watson NLU, and Watson Visual Recognition\\n3.  Discuss basic Kubernetes terminology\\n4.  Deploy a scalable web application on Kubernetes \\n5.  Discuss the different feedback loops in AI workflow\\n6.  Discuss the use of unit testing in the context of model production\\n7.  Use IBM Watson OpenScale to assess bias and performance of production machine learning models.\\n\\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n \\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 through 5 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","personal software process; flask; extreme programming; kubernetes; dynamic systems development method; agile unified process; arden syntax; daily build; feature-driven development; continuous integration","IBM AI Enterprise Workflow",6.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[6.1,14.1]","[NULL]","English","data-science","machine-learning","fV_HBtZPEemAZRLx6FCxVg"]
["Cloud Computing","IBM Cloud","AI Workflow: Data Analysis and Hypothesis Testing","IBM","Advanced",4.9,4.72,"https://www.coursera.org/learn/ibm-ai-workflow-data-analysis-hypothesis-testing","This is the second course in the IBM AI Enterprise Workflow Certification specialization.  You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  \\n\\nIn this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA).  Best practices for data visualization, handling missing data, and hypothesis testing will be introduced to you as part of your work.  You will learn techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests. You will apply what you learn through two hands on case studies: data visualization and multiple testing using a simple pipeline.\\n \\nBy the end of this course you should be able to:\\n1.  List several best practices concerning EDA and data visualization\\n2.  Create a simple dashboard in Watson Studio\\n3.  Describe strategies for dealing with missing data\\n4.  Explain the difference between imputation and multiple imputation\\n5.  Employ common distributions to answer questions about event probabilities\\n6.  Explain the investigative role of hypothesis testing in EDA\\n7.  Apply several methods for dealing with multiple testing\\n \\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n\\nWhat skills should you have?\\nIt is assumed that you have completed Course 1 of the IBM AI Enterprise Workflow specialization and have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","counting process; cell cycle analysis; double depression; laparoscopic radical prostatectomy; python programming; demographic statistics; approved drug; mathematical induction; hypothesis testing; national health and nutrition examination survey","IBM AI Enterprise Workflow",2.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[1.7,6.7]","[NULL]","English","data-science","machine-learning","zeI6XJgzEemFZQpjgGktLA"]
["Cloud Computing","IBM Cloud","AI Workflow: Feature Engineering and Bias Detection","IBM","Advanced",4.0,4.7,"https://www.coursera.org/learn/ibm-ai-workflow-feature-engineering-bias-detection","This is the third course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  \\n\\nCourse 3 introduces you to the next stage of the workflow for our hypothetical media company.  In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the data.  Class imbalances can seriously affect the validity of your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased models.  These topics will be followed by sections on best practices for dimension reduction, outlier detection, and unsupervised learning techniques for finding patterns in your data.  The case studies will focus on topic modeling and data visualization.\\n \\nBy the end of this course you will be able to:\\n1.  Employ the tools that help address class and class imbalance issues\\n2.  Explain the ethical considerations regarding bias in data\\n3.  Employ ai Fairness 360 open source libraries to detect bias in models\\n4.  Employ dimension reduction techniques for both EDA and transformations stages\\n5.  Describe topic modeling techniques in natural language processing\\n6.  Use topic modeling and visualization to explore text data\\n7.  Employ outlier handling best practices in high dimension data\\n8.  Employ outlier detection algorithms as a quality assurance tool and a modeling tool\\n9.  Employ unsupervised learning techniques using pipelines as part of the AI workflow\\n10.  Employ basic clustering algorithms\\n \\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n \\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 and 2 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","statistical algorithms; computational statistics; knowledge engineering; knowledge acquisition; dimensionality reduction; python programming; feature engineering; bias; modeling and simulation; critical appraisal","IBM AI Enterprise Workflow",3.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[1.6,5.3]","[NULL]","English","data-science","machine-learning","f7HCZtZOEemDkAqyZy15Hg"]
["Cloud Computing","IBM Cloud","AI Workflow: Machine Learning, Visual Recognition and NLP","IBM","Advanced",4.6,4.68,"https://www.coursera.org/learn/ibm-ai-workflow-machine-learning-vr-nlp","This is the fourth course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. \\n\\nCourse 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company.  The first topic covers the complex topic of evaluation metrics, where you will learn best practices for a number of different metrics including regression metrics, classification metrics, and multi-class metrics, which you will use to select the best model for your business challenge.  The next topics cover best practices for different types of models including linear models, tree-based models, and neural networks.  Out-of-the-box Watson models for natural language understanding and visual recognition will be used.  There will be case studies focusing on natural language processing and on image analysis to provide realistic context for the model pipelines.\\n \\nBy the end of this course you will be able to:\\nDiscuss common regression, classification, and multilabel classification metrics\\nExplain the use of linear and logistic regression in supervised learning applications\\nDescribe common strategies for grid searching and cross-validation\\nEmploy evaluation metrics to select models for production use\\nExplain the use of tree-based algorithms in supervised learning applications\\nExplain the use of Neural Networks in supervised learning applications\\nDiscuss the major variants of neural networks and recent advances\\nCreate a neural net model in Tensorflow\\nCreate and test an instance of Watson Visual Recognition\\nCreate and test an instance of Watson NLU\\n\\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n \\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 through 3 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","imaging informatics; computational scientist; numpy; python programming; punnett square; disease ontology; glycan array; list of arm microarchitectures; adult neurogenesis; autodesk inventor","IBM AI Enterprise Workflow",4.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[1.7,6.4]","[NULL]","English","data-science","machine-learning","6MedjtZOEemDkAqyZy15Hg"]
["Cloud Computing","IBM Cloud","AI Workflow: Enterprise Model Deployment","IBM","Advanced",4.3,4.64,"https://www.coursera.org/learn/ibm-ai-workflow-machine-learning-model-deployment","This is the fifth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.\\n\\nThis course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises.  Apache Spark is a very commonly used framework for running machine learning models.  Best practices for using Spark will be covered in this course.  Best practices for data manipulation, model training, and model tuning will also be covered.  The use case will call for the creation and deployment of a recommender system. The course wraps up with an introduction to model deployment technologies.\\n \\nBy the end of this course you will be able to:\\n1.  Use Apache Spark's RDDs, dataframes, and a pipeline\\n2.  Employ spark-submit scripts to interface with Spark environments\\n3.  Explain how collaborative filtering and content-based filtering work\\n4.  Build a data ingestion pipeline using Apache Spark and Apache Spark streaming\\n5.  Analyze hyperparameters in machine learning models on Apache Spark\\n6.  Deploy machine learning algorithms using the Apache Spark machine learning interface\\n7.  Deploy a machine learning model from Watson Studio to Watson Machine Learning\\n\\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n\\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 through 4 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","phishtank; Steel Connection Design; bit time; discontinued products; after-sales; niprnet; microsoft baseline security analyzer; Custom Trim; list of arm microarchitectures; Commercial Construction","IBM AI Enterprise Workflow",5.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[1.7,5.8]","[NULL]","English","data-science","machine-learning","UZu0wtZPEemAZRLx6FCxVg"]
["Cloud Computing","Kubernetes","AI Workflow: AI in Production","IBM","Advanced",10.8,5.0,"https://www.coursera.org/learn/ibm-ai-workflow-ai-production","This is the sixth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.    \\n\\nThis course focuses on models in production at a hypothetical streaming media company.  There is an introduction to IBM Watson Machine Learning.  You will build your own API in a Docker container and learn how to manage containers with Kubernetes.  The course also introduces  several other tools in the IBM ecosystem designed to help deploy or maintain models in production.  The AI workflow is not a linear process so there is some time dedicated to the most important feedback loops in order to promote efficient iteration on the overall workflow.\\n \\nBy the end of this course you will be able to:\\n1.  Use Docker to deploy a flask application\\n2.  Deploy a simple UI to integrate the ML model, Watson NLU, and Watson Visual Recognition\\n3.  Discuss basic Kubernetes terminology\\n4.  Deploy a scalable web application on Kubernetes \\n5.  Discuss the different feedback loops in AI workflow\\n6.  Discuss the use of unit testing in the context of model production\\n7.  Use IBM Watson OpenScale to assess bias and performance of production machine learning models.\\n\\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n \\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 through 5 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","personal software process; flask; extreme programming; kubernetes; dynamic systems development method; agile unified process; arden syntax; daily build; feature-driven development; continuous integration","IBM AI Enterprise Workflow",6.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[6.1,14.1]","[NULL]","English","data-science","machine-learning","fV_HBtZPEemAZRLx6FCxVg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Multi-Cluster with Anthos","Google Cloud","Beginner",9.6,4.91,"https://www.coursera.org/learn/hybrid-cloud-multi-cluster-anthos","This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.","security; environment variable; dsl modem; bootstrapping node; management; google; algorithms; data clustering algorithms; cluster analysis; ingress router","Architecting Hybrid Cloud Infrastructure with Anthos",3.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[3.6,14.8]","[NULL]","English","information-technology","cloud-computing","CmqxdNvHEembXBIsApwlxg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Multi-Cluster with Anthos","Google Cloud","Beginner",9.6,4.91,"https://www.coursera.org/learn/hybrid-cloud-multi-cluster-anthos","This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware.","security; environment variable; dsl modem; bootstrapping node; management; google; algorithms; data clustering algorithms; cluster analysis; ingress router","Architecting Hybrid Cloud Infrastructure with Anthos",3.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[3.6,14.8]","[NULL]","English","information-technology","cloud-computing","CmqxdNvHEembXBIsApwlxg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Service Mesh with Anthos","Google Cloud","Beginner",14.5,4.89,"https://www.coursera.org/learn/hybrid-cloud-service-mesh-anthos","This on-demand course equips students to understand and adopt Istio-based service-mesh with Anthos for centralized observability, traffic management, and service-level security.","bandwidth management; traffic management; Switch Installation; as a service; google; static routing; security; management; best-effort delivery; terminal access controller","Architecting Hybrid Cloud Infrastructure with Anthos",2.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[5.1,25.1]","[NULL]","English","information-technology","cloud-computing","-ZQ9XdvGEemlzAoVn8pyjg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Service Mesh with Anthos","Google Cloud","Beginner",14.5,4.89,"https://www.coursera.org/learn/hybrid-cloud-service-mesh-anthos","This on-demand course equips students to understand and adopt Istio-based service-mesh with Anthos for centralized observability, traffic management, and service-level security.","bandwidth management; traffic management; Switch Installation; as a service; google; static routing; security; management; best-effort delivery; terminal access controller","Architecting Hybrid Cloud Infrastructure with Anthos",2.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[5.1,25.1]","[NULL]","English","information-technology","cloud-computing","-ZQ9XdvGEemlzAoVn8pyjg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Kubernetes","Hybrid Cloud Infrastructure Foundations with Anthos","Google Cloud","Beginner",12.5,4.81,"https://www.coursera.org/learn/hybrid-cloud-infrastructure-foundations-anthos","This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.","stack (abstract data type); solution stack; data clustering algorithms; cloud platforms; google cloud platform; cloud computing; google; architecture; microservices; kubernetes","Architecting Hybrid Cloud Infrastructure with Anthos",1.0,"https://www.coursera.org/specializations/architecting-hybrid-cloud-infrastructure-anthos","This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.","[4.1,21.1]","[NULL]","English","information-technology","cloud-computing","rAJVCNsZEemxthIDmiPlEg"]
["Cloud Computing","Kubernetes","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Computing","Kubernetes","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Computing","Kubernetes","Architecting with Google Kubernetes Engine: Foundations","Google Cloud","Beginner",9.2,4.71,"https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Foundations,\" you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\nNote: Those seeking an abbreviated overview of Kubernetes may want to consider Getting Started with Google Kubernetes Engine.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","kubernetes; data clustering algorithms; devops; google cloud platform; cloud platforms; cloud computing; euler's totient function; integration testing; google; control plane","Architecting with Google Kubernetes Engine",2.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5.1,11.2]","French; Spanish; Japanese; German; Portuguese","English","computer-science","software-development","aOin7ERUEemzhg5D25f0SA"]
["Cloud Computing","Kubernetes","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Computing","Kubernetes","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.6,50.2]","[NULL]","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Computing","Kubernetes","Architecting with Google Kubernetes Engine: Production","Google Cloud","Beginner",8.9,4.68,"https://www.coursera.org/learn/deploying-secure-kubernetes-containers-in-production","In this course, \"Architecting with Google Kubernetes Engine: Production,\" you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using GCP managed storage and database services from within GKE.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","access control; table of keyboard shortcuts; cloud computing; google cloud platform; identity management; database; role-based access control; google; kubernetes; cloud storage","Architecting with Google Kubernetes Engine",4.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5.2,10.9]","French; Spanish; Portuguese; German; Japanese","English","computer-science","software-development","zi4UCE5_Eem0lhKc4vCNig"]
["Cloud Computing","Kubernetes","Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","Beginner",13.0,4.68,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; kubernetes; javascript; google; cloud platforms; google cloud platform; database; cloud engineering; data clustering algorithms; data uri scheme","Cloud Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[4.9,22.8]","[NULL]","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["Cloud Computing","Kubernetes","Architecting with Google Kubernetes Engine: Workloads","Google Cloud","Beginner",17.7,4.66,"https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Workloads,\" you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","expectation maximization algorithm; load balancing; load balancing (computing); kubernetes; google; data clustering algorithms; workload; google cloud platform; cloud computing; integration testing","Architecting with Google Kubernetes Engine",3.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[10.2,21.7]","French; Japanese; Spanish; German","English","computer-science","software-development","rbvN305_EemdyRKorlakmA"]
["Cloud Computing","Kubernetes","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Computing","Kubernetes","Getting Started with Google Kubernetes Engine","Google Cloud","Beginner",7.6,4.48,"https://www.coursera.org/learn/google-kubernetes-engine","This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.  Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.\\n\\nAt the end of the course, you will be able to:\\n• Understand container basics\\n• Containerize an existing application\\n• Understand Kubernetes concepts and principles\\n• Deploy applications to Kubernetes using the CLI\\n• Set up a continuous delivery pipeline using Jenkins\\n• Locate more documentation and training.\\n\\nTo get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.\\n\\nNote: This is an abbreviated overview of Kubernetes. For the full Kubernetes content see the Architecting with Google Kubernetes Engine Specialization or start with the Architecting with Google Kubernetes Engine: Foundations course.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google container engine; jenkins (software); spinnaker; google; kubernetes; cloud platforms; google cloud platform; continuous delivery; cloud computing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.5,8.2]","Spanish; Japanese","English","information-technology","cloud-computing","lAe6xrqUEeeJRwrm1qGMrA"]
["Cloud Computing","Microsoft Azure","Project: Deep Learning Inference with Azure ML Studio","Rhyme","Beginner",2.7,4.17,"https://www.coursera.org/learn/azure-machine-learning-studio-deep-learning-inference","In this project-based course, you will use the Multiclass Neural Network module in Azure Machine Learning Studio to train a neural network to recognize handwritten digits. Microsoft Azure Machine Learning Studio is a drag-and-drop tool you can use to rapidly build and deploy machine learning models on Azure. The data used in this course is the popular MNIST data set consisting of 70,000 grayscale images of hand-written digits. You are going to deploy the trained neural network model as an Azure Web service. Azure Web Services provide an interface between an application and a Machine Learning Studio workflow scoring model.  You will write a Python application to use the Batch Execution Service and predict the class labels of handwritten digits.\\n\\nThis is the third course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments! \\n\\nThis course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.\\n\\nNotes:\\n-  You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.\\n- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","lotus 1-2-3; project; lotusscript; learning; vampire tap; free license; inference; james gosling; microsoft azure; microsoft visual studio","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.1,2.3]","[NULL]","English","data-science","machine-learning","lp9hixtcEeqGgBJymn42Sw"]
["Cloud Computing","Microsoft Azure","Project: Predictive Modelling with Azure Machine Learning Studio","Rhyme","Beginner",2.5,3.9,"https://www.coursera.org/learn/predictive-modelling-azure-machine-learning-studio","In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA).  You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments! \\n\\nThis course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.\\n\\nNotes:\\n- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","sap netweaver process integration; google safe browsing; machine learning; predictive modelling; facetime; blockchains; gt nexus; statistics; application layer protocols; wireless internet service provider","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[0.9,2.6]","[NULL]","English","data-science","machine-learning","fdO9lRtVEeqz-Q7fq_E1DQ"]
["Cloud Computing","Other Cloud Platforms and Tools","Developing AI Applications on Azure","LearnQuest","Beginner",20.3,4.42,"https://www.coursera.org/learn/developing-ai-applications-azure","This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll  explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. \\n\\nNext, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service.   \\n\\nUsing the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.","python programming; chatterbots; blockchains; artificial intelligence applications; architecture; computer programming; experience; microsoft azure; artificial intelligence; brain computer interface","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,29.9]","[NULL]","English","data-science","machine-learning","DMj3I-RZEemNmw4gGersHg"]
["Cloud Computing","Small Data","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Theoretical Computer Science","Best Courses","Abstraction, Problem Decomposition, and Functions","University of Colorado System","Advanced",10.7,5.0,"https://www.coursera.org/learn/abstraction-problem-decomposition-functions","This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation\\nPrerequisite C knowledge: Data types, variables, constants; STEM computations; selection; and iteration (looping)\\n\\nThroughout this course the computational thinking topics you'll explore are abstraction, which is deciding which details matter for the problem you're trying to solve, and problem decomposition, which is about breaking large problems into smaller sub-problems to handle complexity. For the programming topics, you'll continue building on your C knowledge by practicing using arrays, which let you store multiple values in a single variable, and strings, which are arrays of characters. You'll also learn how to implement functions, which are the mechanism we use for problem decomposition in our C programs.\\n\\nModule 1: Learn about arrays as a way to store multiple values in a single variable\\nModule 2: Discover how we store and process strings (arrays of characters)\\nModule 3: Explore abstraction and problem decomposition\\nModule 4: Use functions to implement problem decomposition in your code","function prototype; 3sum; statistics; longest common substring problem; base address; euler's totient function; null character; c99; openfabrics alliance; block code","Computational Thinking with Beginning C Programming",3.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,13.7]","[NULL]","English","computer-science","software-development","1t6K-aylEeif_A47d0seOg"]
["Theoretical Computer Science","Best Courses","Problem Solving Using Computational Thinking","University of Michigan","Beginner",13.7,5.0,"https://www.coursera.org/learn/compthinking","Have you ever heard that computers \"think\"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, \"telling the computer what to do and how to do it.\"\\n\\nBefore you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.\\n\\nThe course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you.\\n\\nThis course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone.\\n\\nYou will learn:\\n-To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions\\n-To recognize Computational Thinking concepts in practice through a series of real-world case examples\\n-To develop solutions through the application of Computational Thinking concepts to real world problems","problem finding; delay-gradient congestion control; collaborative problem-solving; algorithms; computation; algorithmics; how to solve it; systemic problem; computer programming; criminal investigation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.2,16.9]","[NULL]","English","computer-science","algorithms","1D5f-zn8EemTSA5kkBvCzA"]
["Theoretical Computer Science","Best Courses","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Theoretical Computer Science","Best Courses","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Theoretical Computer Science","Best Courses","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Theoretical Computer Science","Best Courses","Approximation Algorithms Part I","École normale supérieure","[Null]",22.1,4.82,"https://www.coursera.org/learn/approximation-algorithms-part-1","Approximation algorithms, Part I\\n\\nHow efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum. \\n\\nThis course assumes knowledge of a standard undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a favorite and amazingly successful technique in this area. By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments.  \\n\\nThis is the first of a two-part course on Approximation Algorithms.","approximation; bin packing problem; randomness; linear programming; randomized rounding; rounding; approximation algorithm; vertex cover; algorithms; linearity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.1,25]","[NULL]","English","computer-science","algorithms","bnQLDSclEeWbiBJCM9ziNQ"]
["Theoretical Computer Science","Best Courses","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Theoretical Computer Science","Best Courses","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java programming; algorithms; data segment; list & label; computer programming; java (software platform); data structure; hashing; linked list; data uri scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.1,42.4]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["Theoretical Computer Science","Best Courses","Introduction to CSS3","University of Michigan","Beginner",16.5,4.78,"https://www.coursera.org/learn/introcss","The web today is almost unrecognizable from the early days of white pages with lists of blue links.  Now, sites are designed with complex layouts, unique fonts, and customized color schemes.   This course will show you the basics of Cascading Style Sheets (CSS3).  The emphasis will be on learning how to write CSS rules, how to test code, and how to establish good programming habits.     \\n\\nWhen done correctly, the styling of a webpage can take enhance your page.   When done incorrectly the result can be worse than no styling at all.    To ensure that your sites do not put up  barriers for people with cognitive and/or physical disabilities, you will learn how to evaluate pages using the standardized POUR accessibility guidelines.    Upon completion of the course, learners will be able to sketch a design for a given HTML page.  Using that design they will use CSS to implement the design by adding fonts, colors, and  layouts.    \\n\\nThis is the second course in the Web Design For Everybody specialization.   Subsequent courses focus on adding interaction with JavaScript and enhancing the styling with responsive design.\\n\\nIt will be difficult to complete this course if you do not have access to a laptop or desktop computer for the homework.","web development; css code; web design; html; Style Sheets; web; css flex box layout; modeling; CSS; HTML5","Web Design for Everybody: Basics of Web Development & Coding",2.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[11.1,20.4]","[NULL]","English","computer-science","mobile-and-web-development","Vh4RJTk8EeWJaxK5AT4frw"]
["Theoretical Computer Science","Best Courses","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Theoretical Computer Science","Best Courses","Computer Science:  Algorithms, Theory, and Machines","Princeton University","Advanced",33.4,4.74,"https://www.coursera.org/learn/cs-algorithms-theory-machines","This course  introduces the broader discipline of computer science to people having basic familiarity with Java programming.  It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.\\n\\nFirst, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up).\\n\\nThe course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others.\\n\\nAll the features of this course are available for free. No certificate will be offered upon completion.","computer science; java programming; architecture; algorithms; theory of computation; theoretical computer science; assembly languages; data structure; computer architecture; Data Science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.3,53]","[NULL]","English","computer-science","algorithms","SyKD8hMpEei5XQqHN7tj_g"]
["Theoretical Computer Science","Best Courses","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Theoretical Computer Science","Best Courses","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Theoretical Computer Science","Best Courses","Version Control with Git","Atlassian","Intermediate",12.4,4.73,"https://www.coursera.org/learn/version-control-with-git","The Version Control with Git course provides  you with a solid, hands-on foundation for understanding the Git version control system.  Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs.  It is a core component of DevOps, continuous delivery pipelines and cloud-native computing. You could also use Git to manage the many continuously improving revisions of that book that you are writing. \\n\\nIn this course, you will not learn everything there is to know about Git, but you will build a strong conceptual understanding of the technology, and afterward will be able to confidently dig deeper on any topic that interests you. This course assumes no previous knowledge of Git, but if you do have experience with it, you may find this course to be both useful and challenging. This is especially true if you currently \"know just enough Git to be dangerous\". \\n\\nThere are two paths in this course. Both rely heavily on hands-on labs. One path assumes that you have experience using a command line interface, and the other path uses the Sourcetree graphical client. If you are not experienced with a command line, we highly suggest that you go through the Sourcetree path. Eventually, you might want to go through both paths, so that you can decide which tool to use for specific tasks. Besides, repetition is good for learning :)\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs require you to have a Windows or Mac computer. If you use the command line path through the course, you can also use Linux. \\n\\nThis course uses Bitbucket (bitbucket.org) as the hosted provider for remote Git repositories. Bitbucket is free for teams of up to 5 people, including private repositories. However, most of the knowledge that you gain in this course applies to Git itself, and you can apply this knowledge to other hosted Git providers (such as GitHub). \\n\\nThis course tries to be as concise as possible. It will probably take you about 5-10 hours to go through one of the two paths, but your mileage may vary.","null character; rebasing; bitbucket; version control; version control systems; workflow; rewriting; command-line interface; distributed version control; github","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,18]","Russian","English","computer-science","software-development","xS0pKcAFEeeMdgrf69Tp8A"]
["Theoretical Computer Science","Best Courses","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Theoretical Computer Science","Best Courses","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Theoretical Computer Science","Best Courses","Introduction to HTML5","University of Michigan","Beginner",10.3,4.68,"https://www.coursera.org/learn/html","Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have a page, what do I do now?). Throughout the course there will be a strong emphasis on adhering to syntactic standards for validation and semantic standards to promote wide accessibility for users with disabilities.  The textbook we use is available online, “The Missing Link: An Introduction to Web Development and Programming” by Michael Mendez from www.opensuny.org. \\n\\nThis course will appeal to a wide variety of people, but specifically those who would like a step-by-step description of the basics. There are no prerequisites for this course and it is assumed that students have no prior programming skills or IT experience. The course will culminate in a small final project that will require the completion of a very simple page with links and images. The focus of this course is on the basics, not appearance. You can see a sample final page at http://intro-webdesign.com/html5-plain.html.  \\n\\nThis is the first course in the Web Design For Everybody specialization. Subsequent courses focus on the marketable skills of styling the page with CSS3, adding interactivity with JavaScript and enhancing the styling with responsive design. You can see a sample site for the capstone course at http://intro-webdesign.com/","html; syntax; semantics; web accessibility; HTML5; integration testing; learning; web; web design; web page","Web Design for Everybody: Basics of Web Development & Coding",1.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.5,13.1]","Spanish","English","computer-science","mobile-and-web-development","nQ5d7TbQEeWW9BKhJ4xW0Q"]
["Theoretical Computer Science","Best Courses","Interactivity with JavaScript","University of Michigan","Beginner",11.2,4.65,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","javascript; web design; html; web; syntax; computer programming; web development; javascript syntax; document object model; interactivity","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.7,14.4]","[NULL]","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["Theoretical Computer Science","Best Courses","Algorithmic Toolbox","University of California San Diego","Intermediate",31.9,4.63,"https://www.coursera.org/learn/algorithmic-toolbox","The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).","algorithm design; computer programming; algorithms; dynamic programming; stress; divide and conquer algorithms; stress testing; sorting; sorting algorithm; greedy algorithm","Data Structures and Algorithms",1.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[20.2,39.7]","Spanish","English","computer-science","algorithms","nA4RUW01EeW8nRIpKnwp7Q"]
["Theoretical Computer Science","Best Courses","Data Structures","University of California San Diego","Intermediate",26.5,4.63,"https://www.coursera.org/learn/data-structures","A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.\\n\\nA few examples of questions that we are going to cover in this class are the following:\\n1. What is a good strategy of resizing a dynamic array?\\n2. How priority queues are implemented in C++, Java, and Python?\\n3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?\\n4. What are good strategies to keep a binary tree balanced? \\n\\nYou will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!","splay tree; data uri scheme; priority queue; binary search tree; data segment; search tree; binary search algorithm; hash table; hashing; data structure","Data Structures and Algorithms",2.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[15.7,37.5]","[NULL]","English","computer-science","algorithms","yOZEQ3lwEeWb-BLhFdaGww"]
["Theoretical Computer Science","Algorithms","Algorithms, Part II","Princeton University","Intermediate",35.2,4.95,"https://www.coursera.org/learn/algorithms-part2","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","java programming; computer programming; data segment; java (software platform); algorithms; string searching algorithm; sorting; graphs; data structure; search algorithm","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.4,41.8]","Korean","English","computer-science","algorithms","fEHS45vFEeaF3g7NeAQepg"]
["Theoretical Computer Science","Algorithms","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Theoretical Computer Science","Algorithms","Approximation Algorithms Part I","École normale supérieure","[Null]",22.1,4.82,"https://www.coursera.org/learn/approximation-algorithms-part-1","Approximation algorithms, Part I\\n\\nHow efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum. \\n\\nThis course assumes knowledge of a standard undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a favorite and amazingly successful technique in this area. By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments.  \\n\\nThis is the first of a two-part course on Approximation Algorithms.","approximation; bin packing problem; randomness; linear programming; randomized rounding; rounding; approximation algorithm; vertex cover; algorithms; linearity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.1,25]","[NULL]","English","computer-science","algorithms","bnQLDSclEeWbiBJCM9ziNQ"]
["Theoretical Computer Science","Algorithms","Algorithms on Graphs","University of California San Diego","Intermediate",15.9,4.67,"https://www.coursera.org/learn/algorithms-on-graphs","If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.\\n\\nIn this course, you will first learn what a graph is and what are some of the most important properties. Then you'll learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order. We will then talk about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services. You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. We will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.","graphs; kruskal's algorithm; graph theory; algorithms; dijkstra's algorithm; bellman ford algorithm; graph algorithms; fisher yates shuffle; prim's algorithm; tree traversal","Data Structures and Algorithms",3.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[9.6,20.2]","[NULL]","English","computer-science","algorithms","R1xPlXlzEeW3pg6oA-kqJQ"]
["Theoretical Computer Science","Algorithms","Algorithmic Thinking (Part 2)","Rice University","Beginner",19.8,4.64,"https://www.coursera.org/learn/algorithmic-thinking-2","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part class is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to computational problems.\\n\\nIn part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming.  As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nOnce students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems.  While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.","recursively enumerable set; dynamic programming; algorithmics; algorithms; python programming; sequence alignment; comparison of c sharp and java; data clustering algorithms; closest pair of points problem; computer programming","Fundamentals of Computing",6.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,24.9]","Spanish; Korean","English","computer-science","software-development","c1njRLZEEeWEoAqTi6kTYw"]
["Theoretical Computer Science","Algorithms","Algorithmic Toolbox","University of California San Diego","Intermediate",31.9,4.63,"https://www.coursera.org/learn/algorithmic-toolbox","The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).","algorithm design; computer programming; algorithms; dynamic programming; stress; divide and conquer algorithms; stress testing; sorting; sorting algorithm; greedy algorithm","Data Structures and Algorithms",1.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[20.2,39.7]","Spanish","English","computer-science","algorithms","nA4RUW01EeW8nRIpKnwp7Q"]
["Theoretical Computer Science","Algorithms","Data Structures","University of California San Diego","Intermediate",26.5,4.63,"https://www.coursera.org/learn/data-structures","A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.\\n\\nA few examples of questions that we are going to cover in this class are the following:\\n1. What is a good strategy of resizing a dynamic array?\\n2. How priority queues are implemented in C++, Java, and Python?\\n3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?\\n4. What are good strategies to keep a binary tree balanced? \\n\\nYou will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!","splay tree; data uri scheme; priority queue; binary search tree; data segment; search tree; binary search algorithm; hash table; hashing; data structure","Data Structures and Algorithms",2.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[15.7,37.5]","[NULL]","English","computer-science","algorithms","yOZEQ3lwEeWb-BLhFdaGww"]
["Theoretical Computer Science","Algorithms","Algorithmic Thinking (Part 1)","Rice University","Intermediate",19.7,4.6,"https://www.coursera.org/learn/algorithmic-thinking-1","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to real-world computational problems.\\n\\nIn part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nRecommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in \"Principles of Computing\".","degree distribution; algorithms; algorithmics; python programming; computer network; graphs; algorithmic efficiency; pseudocode; graph (abstract data type); algebra","Fundamentals of Computing",5.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,23.2]","Spanish; Telugu; Korean; Greek","English","computer-science","software-development","jlAy87ZEEeWddwqLXioIgw"]
["Theoretical Computer Science","Algorithms","Advanced Algorithms and Complexity","University of California San Diego","Advanced",24.2,4.5,"https://www.coursera.org/learn/advanced-algorithms-and-complexity","You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset.","linearity; algorithms; mathematical optimization; computer programming; np-completeness; lambda calculus; linear programming; streams; maximum flow problem; flow network","Data Structures and Algorithms",5.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[11.5,38.3]","[NULL]","English","computer-science","algorithms","w7FFV3l0EeW53BJEfL52qQ"]
["Theoretical Computer Science","Algorithms","Algorithms on Strings","University of California San Diego","Advanced",15.9,4.41,"https://www.coursera.org/learn/algorithms-on-strings","World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.","suffix tree; knuth morris pratt algorithm; suffix array; burrows wheeler transform; string searching algorithm; pattern matching; arrays; algorithms on strings; algorithms; search algorithm","Data Structures and Algorithms",4.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[8.4,19.6]","[NULL]","English","computer-science","algorithms","UnTtYHl0EeWfrQ7ngHMGEQ"]
["Theoretical Computer Science","Algorithms","Genome Assembly Programming Challenge","University of California San Diego","Advanced",7.0,4.26,"https://www.coursera.org/learn/assembling-genomes","In Spring 2011, thousands of people in Germany were hospitalized with a deadly disease that started as food poisoning with bloody diarrhea and often led to kidney failure. It was the beginning of the deadliest outbreak in recent history, caused by a mysterious bacterial strain that we will refer to as E. coli X. Soon, German officials linked the outbreak to a restaurant in Lübeck, where nearly 20% of the patrons had developed bloody diarrhea in a single week. At this point, biologists knew that they were facing a previously unknown pathogen and that traditional methods would not suffice – computational biologists would be needed to assemble and analyze the genome of the newly emerged pathogen.\\n\\nTo investigate the evolutionary origin and pathogenic potential of the outbreak strain, researchers started a crowdsourced research program. They released bacterial DNA sequencing data from one of a patient, which elicited a burst of analyses carried out by computational biologists on four continents. They even used GitHub for the project: https://github.com/ehec-outbreak-crowdsourced/BGI-data-analysis/wiki\\n\\nThe 2011 German outbreak represented an early example of epidemiologists collaborating with computational biologists to stop an outbreak. In this Genome Assembly Programming Challenge, you will follow in the footsteps of the bioinformaticians investigating the outbreak by developing a program to assemble the genome of the E. coli X from millions of overlapping substrings of the E.coli X genome.","aj+; computational biology; bioinformatics; algorithms; assembly (programming); personalization; data structure; algorithmics; computer programming; k-mer","Data Structures and Algorithms",6.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[1.2,10.5]","[NULL]","English","computer-science","algorithms","d0Vop3l1EeW3pg6oA-kqJQ"]
["Theoretical Computer Science","Computational Logic","Abstraction, Problem Decomposition, and Functions","University of Colorado System","Advanced",10.7,5.0,"https://www.coursera.org/learn/abstraction-problem-decomposition-functions","This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation\\nPrerequisite C knowledge: Data types, variables, constants; STEM computations; selection; and iteration (looping)\\n\\nThroughout this course the computational thinking topics you'll explore are abstraction, which is deciding which details matter for the problem you're trying to solve, and problem decomposition, which is about breaking large problems into smaller sub-problems to handle complexity. For the programming topics, you'll continue building on your C knowledge by practicing using arrays, which let you store multiple values in a single variable, and strings, which are arrays of characters. You'll also learn how to implement functions, which are the mechanism we use for problem decomposition in our C programs.\\n\\nModule 1: Learn about arrays as a way to store multiple values in a single variable\\nModule 2: Discover how we store and process strings (arrays of characters)\\nModule 3: Explore abstraction and problem decomposition\\nModule 4: Use functions to implement problem decomposition in your code","function prototype; 3sum; statistics; longest common substring problem; base address; euler's totient function; null character; c99; openfabrics alliance; block code","Computational Thinking with Beginning C Programming",3.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,13.7]","[NULL]","English","computer-science","software-development","1t6K-aylEeif_A47d0seOg"]
["Theoretical Computer Science","Computational Logic","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Theoretical Computer Science","Computational Logic","Data Analysis and Representation, Selection and Iteration","University of Colorado System","Advanced",8.6,4.83,"https://www.coursera.org/learn/data-analysis-representation-selection-iteration","This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures, data collection\\nPrerequisite C knowledge: Data types, variables, constants, and STEM computations\\n\\nThroughout this course you'll learn about data analysis and data representation, which are computational thinking techniques that help us understand what sets of data have to tell us. For the programming topics, you'll continue building on your C knowledge by implementing selection, which lets us decide which code to execute, and iteration (or looping), which lets us repeat chunks of code multiple times.\\n\\nModule 1: Learn about some common statistics we can calculate as we analyze sets of data\\nModule 2: Discover how we make decisions in our code\\nModule 3: Explore the various ways we can represent sets of data\\nModule 4: Use iteration (looping) to repeat actions in your code","openfabrics alliance; data authentication algorithm; link encryption; data partitioning; grand mean; analysis; graph bandwidth; inequation; holddown; bad command or file name","Computational Thinking with Beginning C Programming",2.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[5,10.7]","[NULL]","English","computer-science","software-development","DsBLequ6EeiYdg7IYU-oxg"]
["Theoretical Computer Science","Computational Logic","Python Programming Essentials","Rice University","Beginner",11.7,4.78,"https://www.coursera.org/learn/python-programming","This course will introduce you to the wonderful world of Python programming!  We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.\\n\\nBy the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs.\\n\\nThis course uses Python 3.  While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly.  CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately.  In the later courses in this specialization,  we will help you to move to more sophisticated desktop development environments.","euler's totient function; python programming; programming style; syntax; coding conventions; python syntax and semantics; computer programming; codeskulptor; debugging; semantics","Introduction to Scripting in Python",1.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[7.1,15]","Chinese; Vietnamese; Korean","English","computer-science","software-development","7zlrfeNdEeafIArLeQBXwg"]
["Theoretical Computer Science","Computational Logic","Computer Science:  Algorithms, Theory, and Machines","Princeton University","Advanced",33.4,4.74,"https://www.coursera.org/learn/cs-algorithms-theory-machines","This course  introduces the broader discipline of computer science to people having basic familiarity with Java programming.  It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.\\n\\nFirst, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up).\\n\\nThe course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others.\\n\\nAll the features of this course are available for free. No certificate will be offered upon completion.","computer science; java programming; architecture; algorithms; theory of computation; theoretical computer science; assembly languages; data structure; computer architecture; Data Science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.3,53]","[NULL]","English","computer-science","algorithms","SyKD8hMpEei5XQqHN7tj_g"]
["Theoretical Computer Science","Computational Logic","Algorithms, Data Collection, and Starting to Code","University of Colorado System","Advanced",11.1,4.29,"https://www.coursera.org/learn/algorithms-data-collection-code","This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!\\n\\nYou may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection.\\n\\nMost people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before.\\n\\nIf that all sounds interesting to you, go ahead and jump into the course!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Learn about algorithms and write your first C program\\nModule 2: Discover how we store data in our programs\\nModule 3: Explore how we use data collection to solve problems and answer questions\\nModule 4: Practice writing C programs to implement STEM computations","algorithms; language; long double; c programming; google street view; openfabrics alliance; spring; statistics; binary code; computer languages","Computational Thinking with Beginning C Programming",1.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,15.3]","[NULL]","English","computer-science","software-development","hTD2gasoEeikbA5NFwCang"]
["Theoretical Computer Science","Computational Thinking","Problem Solving Using Computational Thinking","University of Michigan","Beginner",13.7,5.0,"https://www.coursera.org/learn/compthinking","Have you ever heard that computers \"think\"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, \"telling the computer what to do and how to do it.\"\\n\\nBefore you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.\\n\\nThe course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you.\\n\\nThis course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone.\\n\\nYou will learn:\\n-To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions\\n-To recognize Computational Thinking concepts in practice through a series of real-world case examples\\n-To develop solutions through the application of Computational Thinking concepts to real world problems","problem finding; delay-gradient congestion control; collaborative problem-solving; algorithms; computation; algorithmics; how to solve it; systemic problem; computer programming; criminal investigation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.2,16.9]","[NULL]","English","computer-science","algorithms","1D5f-zn8EemTSA5kkBvCzA"]
["Theoretical Computer Science","Computational Thinking","Abstraction, Problem Decomposition, and Functions","University of Colorado System","Advanced",10.7,5.0,"https://www.coursera.org/learn/abstraction-problem-decomposition-functions","This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation\\nPrerequisite C knowledge: Data types, variables, constants; STEM computations; selection; and iteration (looping)\\n\\nThroughout this course the computational thinking topics you'll explore are abstraction, which is deciding which details matter for the problem you're trying to solve, and problem decomposition, which is about breaking large problems into smaller sub-problems to handle complexity. For the programming topics, you'll continue building on your C knowledge by practicing using arrays, which let you store multiple values in a single variable, and strings, which are arrays of characters. You'll also learn how to implement functions, which are the mechanism we use for problem decomposition in our C programs.\\n\\nModule 1: Learn about arrays as a way to store multiple values in a single variable\\nModule 2: Discover how we store and process strings (arrays of characters)\\nModule 3: Explore abstraction and problem decomposition\\nModule 4: Use functions to implement problem decomposition in your code","function prototype; 3sum; statistics; longest common substring problem; base address; euler's totient function; null character; c99; openfabrics alliance; block code","Computational Thinking with Beginning C Programming",3.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,13.7]","[NULL]","English","computer-science","software-development","1t6K-aylEeif_A47d0seOg"]
["Theoretical Computer Science","Computational Thinking","Data Analysis and Representation, Selection and Iteration","University of Colorado System","Advanced",8.6,4.83,"https://www.coursera.org/learn/data-analysis-representation-selection-iteration","This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures, data collection\\nPrerequisite C knowledge: Data types, variables, constants, and STEM computations\\n\\nThroughout this course you'll learn about data analysis and data representation, which are computational thinking techniques that help us understand what sets of data have to tell us. For the programming topics, you'll continue building on your C knowledge by implementing selection, which lets us decide which code to execute, and iteration (or looping), which lets us repeat chunks of code multiple times.\\n\\nModule 1: Learn about some common statistics we can calculate as we analyze sets of data\\nModule 2: Discover how we make decisions in our code\\nModule 3: Explore the various ways we can represent sets of data\\nModule 4: Use iteration (looping) to repeat actions in your code","openfabrics alliance; data authentication algorithm; link encryption; data partitioning; grand mean; analysis; graph bandwidth; inequation; holddown; bad command or file name","Computational Thinking with Beginning C Programming",2.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[5,10.7]","[NULL]","English","computer-science","software-development","DsBLequ6EeiYdg7IYU-oxg"]
["Theoretical Computer Science","Computational Thinking","Data-driven Astronomy","The University of Sydney","Advanced",24.6,4.83,"https://www.coursera.org/learn/data-driven-astronomy","Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy.\\n\\nRegardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes.\\n\\nCourse outline:\\nWeek 1: Thinking about data\\n- Principles of computational thinking\\n- Discovering pulsars in radio images\\n\\nWeek 2: Big data makes things slow\\n- How to work out the time complexity of algorithms\\n- Exploring the black holes at the centres of massive galaxies\\n\\nWeek 3: Querying data using SQL\\n- How to use databases to analyse your data\\n- Investigating exoplanets in other solar systems\\n\\nWeek 4: Managing your data\\n- How to set up databases to manage your data\\n- Exploring the lifecycle of stars in our Galaxy\\n\\nWeek 5: Learning from data: regression\\n- Using machine learning tools to investigate your data\\n- Calculating the redshifts of distant galaxies\\n\\nWeek 6: Learning from data: classification\\n- Using machine learning tools to classify your data\\n- Investigating different types of galaxies\\n\\nEach week will also have an interview with a data-driven astronomy expert.\\n\\nNote that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files.","learning; data uri scheme; computer programming; python programming; computation; computational astronomy; sql; machine learning; applied machine learning; astronomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,34.6]","[NULL]","English","physical-science-and-engineering","physics-and-astronomy","C40AUGZoEeWq4RLQvtY_lQ"]
["Theoretical Computer Science","Computational Thinking","Algorithmic Thinking (Part 2)","Rice University","Beginner",19.8,4.64,"https://www.coursera.org/learn/algorithmic-thinking-2","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part class is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to computational problems.\\n\\nIn part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming.  As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nOnce students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems.  While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.","recursively enumerable set; dynamic programming; algorithmics; algorithms; python programming; sequence alignment; comparison of c sharp and java; data clustering algorithms; closest pair of points problem; computer programming","Fundamentals of Computing",6.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,24.9]","Spanish; Korean","English","computer-science","software-development","c1njRLZEEeWEoAqTi6kTYw"]
["Theoretical Computer Science","Computational Thinking","Algorithmic Thinking (Part 1)","Rice University","Intermediate",19.7,4.6,"https://www.coursera.org/learn/algorithmic-thinking-1","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to real-world computational problems.\\n\\nIn part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nRecommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in \"Principles of Computing\".","degree distribution; algorithms; algorithmics; python programming; computer network; graphs; algorithmic efficiency; pseudocode; graph (abstract data type); algebra","Fundamentals of Computing",5.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,23.2]","Spanish; Telugu; Korean; Greek","English","computer-science","software-development","jlAy87ZEEeWddwqLXioIgw"]
["Theoretical Computer Science","Computational Thinking","Problem Solving, Python Programming, and Video Games","University of Alberta","Beginner",163.3,4.51,"https://www.coursera.org/learn/problem-solving-programming-video-games","This course is an introduction to computer science and programming in Python.  Upon successful completion of this course, you will be able to:\\n\\n1.  Take a new computational problem and develop a plan to solve it through problem understanding and decomposition.\\n2.  Follow a design creation process that includes specifications, algorithms, and testing.\\n3.  Code, test, and debug a program in Python, based on your design.\\n\\nImportant computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout.  The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner.  However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.\\n\\nYou do not need any previous programming, Python, or video game experience.  However, some computer skills (e.g., mouse, keyboard, document editing), knowledge of algebra, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success.  Despite the use of video games for all the programming examples, PVG is not about computer games.  PVG will still provide valuable knowledge and skills for non-game computational problems.\\n\\nThe interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, algorithms, and functional test plans.  The course forums will be supported by the creators of the course, to help you succeed.\\n\\nAll videos, assessments, and ILOs are available free of charge.  There is an optional certificate available for a fee.","euler's totient function; test plan; software versioning; computer programming; subroutine; pygame; python programming; syntax; list of facebook features; algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[47.8,278.3]","[NULL]","English","computer-science","software-development","ZvjGtOESEeeF8w7J2dNlfg"]
["Theoretical Computer Science","Computational Thinking","Algorithms, Data Collection, and Starting to Code","University of Colorado System","Advanced",11.1,4.29,"https://www.coursera.org/learn/algorithms-data-collection-code","This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!\\n\\nYou may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection.\\n\\nMost people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before.\\n\\nIf that all sounds interesting to you, go ahead and jump into the course!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Learn about algorithms and write your first C program\\nModule 2: Discover how we store data in our programs\\nModule 3: Explore how we use data collection to solve problems and answer questions\\nModule 4: Practice writing C programs to implement STEM computations","algorithms; language; long double; c programming; google street view; openfabrics alliance; spring; statistics; binary code; computer languages","Computational Thinking with Beginning C Programming",1.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,15.3]","[NULL]","English","computer-science","software-development","hTD2gasoEeikbA5NFwCang"]
["Theoretical Computer Science","Data Structures","Algorithms, Part II","Princeton University","Intermediate",35.2,4.95,"https://www.coursera.org/learn/algorithms-part2","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","java programming; computer programming; data segment; java (software platform); algorithms; string searching algorithm; sorting; graphs; data structure; search algorithm","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.4,41.8]","Korean","English","computer-science","algorithms","fEHS45vFEeaF3g7NeAQepg"]
["Theoretical Computer Science","Data Structures","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Theoretical Computer Science","Data Structures","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Theoretical Computer Science","Data Structures","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java programming; algorithms; data segment; list & label; computer programming; java (software platform); data structure; hashing; linked list; data uri scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.1,42.4]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["Theoretical Computer Science","Data Structures","Unordered Data Structures","University of Illinois at Urbana-Champaign","Advanced",17.2,4.77,"https://www.coursera.org/learn/cs-fundamentals-3","The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.","shortest path problem; spanning tree; graphs; data structure; hashing; c++; 2.5d; algorithms; tree traversal; path (variable)","Accelerated Computer Science Fundamentals",3.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[10.1,23.1]","[NULL]","English","computer-science","software-development","sI_-QEBiEemtDRLx7Ne8jg"]
["Theoretical Computer Science","Data Structures","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Theoretical Computer Science","Data Structures","Ordered Data Structures","University of Illinois at Urbana-Champaign","Intermediate",22.2,4.74,"https://www.coursera.org/learn/cs-fundamentals-2","In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.","heap (data structure); binary search algorithm; search tree; avl tree; b-tree; binary search tree; binary tree; data structure; linearity; arrays","Accelerated Computer Science Fundamentals",2.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[11.5,36.4]","[NULL]","English","computer-science","software-development","MVZ09jVhEemVlQ65Erh-fA"]
["Theoretical Computer Science","Data Structures","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Theoretical Computer Science","Data Structures","Object-Oriented Data Structures in C++","University of Illinois at Urbana-Champaign","Beginner",19.0,4.72,"https://www.coursera.org/learn/cs-fundamentals-1","This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.","computer program; management; compiler; data structure; memory management; c programming; computer programming; algorithms; object-oriented programming; memory","Accelerated Computer Science Fundamentals",1.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[10.4,29.5]","[NULL]","English","computer-science","software-development","57qeWvNFEeiLsQ7UWwj8jA"]
["Theoretical Computer Science","Data Structures","Data Structures","University of California San Diego","Intermediate",26.5,4.63,"https://www.coursera.org/learn/data-structures","A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.\\n\\nA few examples of questions that we are going to cover in this class are the following:\\n1. What is a good strategy of resizing a dynamic array?\\n2. How priority queues are implemented in C++, Java, and Python?\\n3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?\\n4. What are good strategies to keep a binary tree balanced? \\n\\nYou will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!","splay tree; data uri scheme; priority queue; binary search tree; data segment; search tree; binary search algorithm; hash table; hashing; data structure","Data Structures and Algorithms",2.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[15.7,37.5]","[NULL]","English","computer-science","algorithms","yOZEQ3lwEeWb-BLhFdaGww"]
["Theoretical Computer Science","Data Structures","Data Structures and Design Patterns for Game Developers","University of Colorado System","Advanced",15.8,4.56,"https://www.coursera.org/learn/data-structures-design-patterns","This course is the fourth course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns.\\n\\nData structures and design patterns are both general programming and software architecture topics that span all software, not just games. Although we'll discuss these ideas in the game domain, they also apply if you're writing a web app in ASP.NET, building a tool using WinForms, or any other software you decide to build. \\n\\nModule 1: Explore a Dynamic Array data structure and learn the basics of algorithm analysis\\nModule 2: Learn about and use the common Linked List and Graph data structures\\nModule 3: Learn about and use several additional data structures: Stacks, Queues, and Trees\\nModule 4: Learn why design patterns are so useful and discover a number of design patterns useful in game development\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","linked list; stack (abstract data type); c sharp (programming language); game programming; dynamic array; algorithms; object pool pattern; design pattern; asp.net; video game development","C# Programming for Unity Game Development",4.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[5.8,23.1]","[NULL]","English","computer-science","software-development","AXxayz5CEeeQDg6xSmfOXg"]
["Security Engineering","Best Courses","Software Design Threats and Mitigations","University of Colorado System","Advanced",9.4,4.85,"https://www.coursera.org/learn/software-design-threats-mitigations","The design step in developing software has some unique characteristics.  First of all, it’s the only step where drawing pictures of things is the norm.  Why is that?  What do pictures do that other representations cannot do?  Pictures have varying levels of detail; pictures have context.  Pictures…paint a picture.  Why are these things important?  In this course, too, we begin looking at other disciplines (building architecture is a favorite one) for lessons on design.","cryptography; software design; hashing; sql injection; buffer overflow; failure; sql; proof-of-work system; bitcoin; database","Secure Software Design",4.0,"https://www.coursera.org/specializations/secure-software-design","Information security is an extremely important topic in our world today. As individuals, we seek to protect our personal information while the corporations we work for have to protect suppliers, customers, and company assets. Creating secure software requires implementing secure practices as early in the software development lifecycle (SDLC) as possible.\\n\\nThis Specialization focuses on ensuring security as part of software design and is for anyone with some workplace experience in software development who needs the background, perspective, and skills to recognize important security aspects of software design.\\n\\nYou’ll consider secure design for multiple SDLC models, software architecture considerations, and design patterns. You’ll understand how to identify and implement secure design when considering databases, UML, unit testing, and ethics. Mindsets and attitudes of successful designers—and hackers—are presented as well as project successes and failures.\\n\\nAlways at the core of front-end design will be user experience and you will have the opportunity to ensure clean and effective user interfaces that also serve to provide the best security. Back-end development topics such as database design are also covered.","[3.1,14.1]","[NULL]","English","computer-science","software-development","JgdGVmOUEeenbhIEmtW1dA"]
["Security Engineering","Best Courses","Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery","(ISC)²","Beginner",17.4,4.84,"https://www.coursera.org/learn/incident-response-recovery-risks-sscp","Risk Identification, Monitoring, and Analysis: In the Risk Identification, Monitoring, and Analysis session, you will learn how to identify, measure, and control losses associated with adverse events. You will review, analyze, select, and evaluate safeguards for mitigating risk.You will learn processes for collecting information, providing methods of identifying security events, assigning priority levels, taking the appropriate actions, and reporting the findings to the correct individuals. After collection of the details from monitoring, we can analyze to determine if the system is being operated in accordance with accepted industry practices, and in compliance with organization policies and procedures.        \\n Incident Response and Recovery: In the Incident Response and Recovery Session, you will gain an understanding of how to handle incidents using consistent, applied approaches in order to resolve. Once an incident is identified, action will be necessary in order to resolve. We will examine processes such as damage recovery, data integrity and preservation, and the collection, handling, reporting, and prevention. You will be introduced to the Business Continuity Plan (BCP) and Disaster Recovery Plan (DRP) concepts and how they can be utilized in order to mitigate damages, recover business operations, and avoid critical business interruption. Through the use of the DRP, you will understand the procedures for emergency response and post-disaster recovery.    \\n\\n Course Objectives  \\n\\n1.  Describe the risk management process\\n2. Perform security assessment activities\\n3. Describe processes for operating and maintaining monitoring systems\\n4. Identify events of interest\\n5. Describe the various source systems\\n6. Interpret reporting findings from monitoring results\\n7. Describe the incident handling process\\n8. Contribute to the incident handling process based upon role within the organization\\n9. Describe the supporting role in forensics investigation processes\\n10. Describe the supporting role in the business continuity planning process\\n11. Describe the supporting role in the disaster recovery planning process","penetration test; computer security incident management; disaster recovery plan; business continuity; rogue access point; disaster recovery; backup; incident response team; packet analyzer; risk assessment","(ISC)² Systems Security Certified Practitioner (SSCP)",3.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[8.2,26.1]","[NULL]","English","information-technology","security","EEhj5bQSEee9KxLbu3-H9g"]
["Security Engineering","Best Courses","Securing Digital Democracy","University of Michigan","Advanced",17.9,4.84,"https://www.coursera.org/learn/digital-democracy","In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.","unique key; political science; cybersecurity; distributed denial of service; usability; terminal server; wii menu; elections; internet; security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,22.7]","[NULL]","English","computer-science","computer-security-and-networks","52n7Ml8SEeSiWyIACyQQqQ"]
["Security Engineering","Best Courses","Cyber Attack Countermeasures","New York University Tandon School of Engineering","Advanced",13.3,4.77,"https://www.coursera.org/learn/cyber-attack-countermeasures","This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks. These underlying policy enforcements mechanisms help introduce basic functional protections, starting with authentication methods. Learners will be introduced to a series of different authentication solutions and protocols, including RSA SecureID and Kerberos, in the context of a canonical schema. \\n \\nThe basics of cryptography are also introduced with attention to conventional block ciphers as well as public key cryptography. Important cryptographic techniques such as cipher block chaining and triple-DES are explained. Modern certification authority-based cryptographic support is also discussed and shown to provide basis for secure e-commerce using Secure Sockets Layer (SSL) schemes.","public-key cryptography; cybersecurity; information security; covert channel; security; authentication; security modes; s/key; cryptography; biba model","Introduction to Cyber Security",2.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7.3,17.9]","[NULL]","English","computer-science","computer-security-and-networks","0Q9TklgrEeeZ3g7LRzMq2g"]
["Security Engineering","Best Courses","IT Security: Defense against the digital dark arts","Google","Beginner",21.2,4.73,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","information security; encryption; wireless; integration testing; authentication; security; cryptography; network security; wireless security; cybersecurity","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.7]","Arabic; Spanish; Portuguese","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Security Engineering","Best Courses","G Suite Security","Google Cloud","Beginner",3.2,4.73,"https://www.coursera.org/learn/g-suite-security","G Suite Security is is the third course in the G Suite Administration Specialization.\\n\\nIn this course you will focus on the various aspects of G Suite Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application security and understand how to whitelist and block API access to your account. You will see how G Suite can easily be integrated with a number of predefined 3rd party applications. You will also become familiar with the SSO options in G Suite. Finally you will understand how to spot potential security risks within your organization and learn how to address them using the tools available in the admin console.\\n\\nLearning Objectives\\n\\nBy the end of this course participants will be able to:\\n\\n- Configure Google's default user protection settings such as password policies and recovery options.\\n- Understand best practices for implementing and enforcing 2-step verification in your organization.\\n- Understand the SSO options available and be able to identify the differences between using Google as an Identity Provider versus a 3rd party provider.\\n- Be able to integrate cloud based enterprise SAML applications into your G Suite account using Google as the Identity Provider.\\n- Understand how to integrate your own LDAP compliant applications into G Suite using the Secure LDAP service.\\n- Restrict access to a Google service to trusted applications only to prevent malicious attacks on that service.\\n- Manage the G Suite Marketplace for your organization to ensure only trusted applications can be installed on your devices.\\n- Use the security and alert centers to identify, triage, and take action on security and privacy issues in your organization.\\n\\nPrerequisites\\n\\nYou should have completed the first two courses in the series: Introduction to G Suite, and Managing G Suite.","audit; integration testing; graphical environment manager; graphical model; capital market; google; security; audit trail; application programming interfaces; auditor's report","G Suite Administration",3.0,"https://www.coursera.org/specializations/g-suite-administration","The G Suite Administration Specialization has been developed to help administrators master the foundations of managing and establishing G Suite best practices for their organization.\\n\\nYou will setup and configure a new G Suite account, and explore options for provisioning users, groups and resources. You will learn how to manage your users and also become familiar with organizational structures and G Suite core services such as Gmail, Calendar, and Drive & Docs. You will learn how to configure these services to meet your particular business needs for different parts of the organization.\\n\\nIn the security module you will be introduced to Google's best practices to protect your users and data. You will examine user and application security and become familiar with the Single Sign On (SSO) options available for your organization. You will be able to use the tools provided to identify security events and risks and mitigate problems that may arise.\\n\\nFinally you will look at G Suite mail management. In this module you will configure email compliance and implement measures to protect your organization from spam, spoofing, phishing and malware attacks. You will also become familiar with the various mail routing options available.","[1.5,4.4]","Japanese","English","computer-science","computer-security-and-networks","N52rKYv8Eemk2A6-vt0r4A"]
["Security Engineering","Best Courses","Introduction to Cyber Attacks","New York University Tandon School of Engineering","Advanced",12.9,4.61,"https://www.coursera.org/learn/intro-cyber-attacks","This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades. \\n\\nFamiliar analytic models are outlined such as the confidentiality/integrity/availability (CIA) security threat framework, and examples are used to illustrate how these different types of threats can degrade real assets. The course also includes an introduction to basic cyber security risk analysis, with an overview of how threat-asset matrices can be used to prioritize risk decisions. Threats, vulnerabilities, and attacks are examined and mapped in the context of system security engineering methodologies.","security; risk assessment; botnets; matrices; threat; cyberattacks; information security; threat (computer); cybersecurity; risk","Introduction to Cyber Security",1.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7,16.5]","[NULL]","English","computer-science","computer-security-and-networks","pvX6CD5REeaObA6SJ3XZwQ"]
["Security Engineering","Best Courses","Information Security: Context and Introduction","University of London","Intermediate",45.9,4.61,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","cryptography; incident management; encryption; cybersecurity; security; management; information security; null character; network security; security management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,80.7]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["Security Engineering","Best Courses","Software Security","University of Maryland, College Park","Intermediate",30.3,4.6,"https://www.coursera.org/learn/software-security","This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, we take a \"build security in\" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems. Successful learners in this course typically have completed sophomore/junior-level undergraduate work in a technical field, have some familiarity with programming, ideally in C/C++ and one other \"managed\" program language (like ML or Java), and have prior exposure to algorithms. Students not familiar with these languages but with others can improve their skills through online web tutorials.","internet security; sql; software; fuzz testing; penetration test; web; software testing; buffer overflow; security; sql injection","Cybersecurity",2.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[15.7,46.9]","Korean","English","computer-science","computer-security-and-networks","aZysaaT7EeWiJhIfkgG__w"]
["Security Engineering","Best Courses","Usable Security","University of Maryland, College Park","Beginner",14.8,4.5,"https://www.coursera.org/learn/usable-security","This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.","usability; user interface; Security Design; privacy; authentication; password; security; cybersecurity; java annotation; software testing","Cybersecurity",1.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[8.1,18]","[NULL]","English","computer-science","computer-security-and-networks","dPkbnh6zEeWP0w4yK2369w"]
["Security Engineering","Computer Security Incident Management","Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery","(ISC)²","Beginner",17.4,4.84,"https://www.coursera.org/learn/incident-response-recovery-risks-sscp","Risk Identification, Monitoring, and Analysis: In the Risk Identification, Monitoring, and Analysis session, you will learn how to identify, measure, and control losses associated with adverse events. You will review, analyze, select, and evaluate safeguards for mitigating risk.You will learn processes for collecting information, providing methods of identifying security events, assigning priority levels, taking the appropriate actions, and reporting the findings to the correct individuals. After collection of the details from monitoring, we can analyze to determine if the system is being operated in accordance with accepted industry practices, and in compliance with organization policies and procedures.        \\n Incident Response and Recovery: In the Incident Response and Recovery Session, you will gain an understanding of how to handle incidents using consistent, applied approaches in order to resolve. Once an incident is identified, action will be necessary in order to resolve. We will examine processes such as damage recovery, data integrity and preservation, and the collection, handling, reporting, and prevention. You will be introduced to the Business Continuity Plan (BCP) and Disaster Recovery Plan (DRP) concepts and how they can be utilized in order to mitigate damages, recover business operations, and avoid critical business interruption. Through the use of the DRP, you will understand the procedures for emergency response and post-disaster recovery.    \\n\\n Course Objectives  \\n\\n1.  Describe the risk management process\\n2. Perform security assessment activities\\n3. Describe processes for operating and maintaining monitoring systems\\n4. Identify events of interest\\n5. Describe the various source systems\\n6. Interpret reporting findings from monitoring results\\n7. Describe the incident handling process\\n8. Contribute to the incident handling process based upon role within the organization\\n9. Describe the supporting role in forensics investigation processes\\n10. Describe the supporting role in the business continuity planning process\\n11. Describe the supporting role in the disaster recovery planning process","penetration test; computer security incident management; disaster recovery plan; business continuity; rogue access point; disaster recovery; backup; incident response team; packet analyzer; risk assessment","(ISC)² Systems Security Certified Practitioner (SSCP)",3.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[8.2,26.1]","[NULL]","English","information-technology","security","EEhj5bQSEee9KxLbu3-H9g"]
["Security Engineering","Computer Security Incident Management","IT Security: Defense against the digital dark arts","Google","Beginner",21.2,4.73,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","information security; encryption; wireless; integration testing; authentication; security; cryptography; network security; wireless security; cybersecurity","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.7]","Arabic; Spanish; Portuguese","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Security Engineering","Computer Security Incident Management","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Security Engineering","Computer Security Incident Management","Information Security: Context and Introduction","University of London","Intermediate",45.9,4.61,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","cryptography; incident management; encryption; cybersecurity; security; management; information security; null character; network security; security management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,80.7]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["Security Engineering","Computer Security Models","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Security Engineering","Cryptography","Cyber Attack Countermeasures","New York University Tandon School of Engineering","Advanced",13.3,4.77,"https://www.coursera.org/learn/cyber-attack-countermeasures","This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks. These underlying policy enforcements mechanisms help introduce basic functional protections, starting with authentication methods. Learners will be introduced to a series of different authentication solutions and protocols, including RSA SecureID and Kerberos, in the context of a canonical schema. \\n \\nThe basics of cryptography are also introduced with attention to conventional block ciphers as well as public key cryptography. Important cryptographic techniques such as cipher block chaining and triple-DES are explained. Modern certification authority-based cryptographic support is also discussed and shown to provide basis for secure e-commerce using Secure Sockets Layer (SSL) schemes.","public-key cryptography; cybersecurity; information security; covert channel; security; authentication; security modes; s/key; cryptography; biba model","Introduction to Cyber Security",2.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7.3,17.9]","[NULL]","English","computer-science","computer-security-and-networks","0Q9TklgrEeeZ3g7LRzMq2g"]
["Security Engineering","Cryptography","Cybersecurity Compliance Framework & System Administration","IBM","Intermediate",12.5,4.69,"https://www.coursera.org/learn/cybersecurity-compliance-framework-system-administration","This course gives you the background needed to understand the key cybersecurity compliance and industry standards.  This knowledge will be important for you to learn no matter what cybersecurity role you would like to acquire or have within an organization.\\n\\n You will learn the basic commands for user and server administration as it relates to security. You will need this skill to be able to understand vulnerabilities within your organizations operating systems.\\n\\nYou will learn the concepts of endpoint security and patch management.  Both of these topics are important to keep systems current to avoid cybersecurity incidents against an organization.\\n\\nFinally you will learn in depth skills around cryptography and encryption to understand how these concepts affect software within a company.  \\n\\nThis course is intended for anyone who wants to gain a basic understanding of Security Frameworks, Compliance, endpoint management, encryption or cryptography or as the third course in a series of courses to gain the skill as a Jr Cybersecurity analyst.","penetration test; digital signature; cyber-security regulation; system administration; linux; digital forensics; security; network security; cybersecurity; general data protection regulation","IT Fundamentals for Cybersecurity",3.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[6.2,18.4]","[NULL]","English","information-technology","security","r2017VrTEemLEw4J_47EwA"]
["Security Engineering","Cryptography","Mathematical Foundations for Cryptography","University of Colorado System","Advanced",11.9,4.61,"https://www.coursera.org/learn/mathematical-foundations-cryptography","Welcome to Course 2 of Introduction to Applied Cryptography. In this course, you will be introduced to basic mathematical principles and functions that form the foundation for cryptographic and cryptanalysis methods. These principles and functions will be helpful in understanding symmetric and asymmetric cryptographic methods examined in Course 3 and Course 4. These topics should prove especially useful to you if you are new to cybersecurity. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.","cryptography; trial division; discrete logarithm; modular exponentiation; multiplicative inverse; arithmetic; math; euler's totient function; algorithms; fermat primality test","Introduction to Applied Cryptography",2.0,"https://www.coursera.org/specializations/introduction-applied-cryptography","Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, students will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove useful to those who are new to cybersecurity, and those with some experience.","[4.8,17.8]","[NULL]","English","computer-science","computer-security-and-networks","Ocyl5rmJEea7HhLAXRS5cg"]
["Security Engineering","Cryptography","Information Security: Context and Introduction","University of London","Intermediate",45.9,4.61,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","cryptography; incident management; encryption; cybersecurity; security; management; information security; null character; network security; security management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,80.7]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["Security Engineering","Cryptography","Classical Cryptosystems and Core Concepts","University of Colorado System","Advanced",8.5,4.53,"https://www.coursera.org/learn/classical-cryptosystems","Welcome to Introduction to Applied Cryptography.  Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market.  Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, you will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove especially useful to you if you are new to cybersecurity Course 1, Classical Cryptosystems, introduces you to basic concepts and terminology related to cryptography and cryptanalysis. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.","frequency analysis; hashing; cryptographic hash function; hash function; cryptography; cryptanalysis; cipher; use case; cryptosystem; key size","Introduction to Applied Cryptography",1.0,"https://www.coursera.org/specializations/introduction-applied-cryptography","Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, students will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove useful to those who are new to cybersecurity, and those with some experience.","[4.5,11.3]","[NULL]","English","computer-science","computer-security-and-networks","V-yfArmGEea88RIH1TAEqg"]
["Security Engineering","Cryptography","Asymmetric Cryptography and Key Management","University of Colorado System","Advanced",12.3,4.5,"https://www.coursera.org/learn/asymmetric-crypto","Welcome to Asymmetric Cryptography and Key Management! \\n\\nIn asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","key exchange; pairing; discrete logarithm; public-key cryptography; factorization; cryptography; integer factorization; key distribution; cipher; algorithms","Applied Cryptography",3.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[3.9,17.4]","[NULL]","English","computer-science","computer-security-and-networks","qRzsCVEUEeeF5RIYZYolcA"]
["Security Engineering","Cryptography","Symmetric Cryptography","University of Colorado System","Advanced",26.5,4.49,"https://www.coursera.org/learn/symmetric-crypto","Welcome to Symmetric Cryptography! \\n\\nSymmetric cryptography relies on shared secret key to ensure message confidentiality, so that the unauthorized attackers cannot retrieve the message. The course describes substitution and transposition techniques, which were the bases for classical cryptography when the message is encoded in natural language such as English. Then, we build on product ciphers (using both substitution and transposition/permutation) to describe modern block ciphers and review the widely used cipher algorithms in DES, 3-DES, and AES. Lastly, we enable the use of block ciphers to support variable data length by introducing different modes of block cipher operations in ECB, CBC, CFB, OFB, and CTR modes.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","modulo operation; cipher; streams; permutations; cryptography; block cipher; feistel cipher; block cipher mode of operation; stream cipher; symmetric-key algorithm","Introduction to Applied Cryptography",3.0,"https://www.coursera.org/specializations/introduction-applied-cryptography","Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, students will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove useful to those who are new to cybersecurity, and those with some experience.","[7.7,42.2]","[NULL]","English","computer-science","computer-security-and-networks","N0UXuVEUEeeMogo_t-e1wg"]
["Security Engineering","Cryptography","Industrial IoT Markets and Security","University of Colorado Boulder","Intermediate",18.1,4.49,"https://www.coursera.org/learn/industrial-iot-markets-security","This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nDeveloping tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.\\n\\nThis is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all \"Internet of Things\" product development.\\n\\nIn this course students will learn :\\n  * What Industry 4.0 is and what factors have enabled the IIoT\\n  * Key skills to develop to be employed in the IIoT space\\n  * What platforms are, and also market information on Software and Services\\n  * What the top application areas are (examples include manufacturing and oil & gas)\\n  * What the top operating systems are that are used in IIoT deployments\\n  * About networking and wireless communication protocols used in IIoT deployments\\n  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication","integration testing; wireless; edge computing; internet of things; operating system; interfaces; java annotation; real-time operating systems; smart city; industry 4.0","Developing Industrial Internet of Things",1.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[6.3,21.7]","[NULL]","English","computer-science","design-and-product","88AS74tsEeiIKw52w5bZOA"]
["Security Engineering","Cryptography","Number Theory and Cryptography","University of California San Diego","Advanced",52.1,4.49,"https://www.coursera.org/learn/number-theory-cryptography","We all learn numbers from the childhood. Some of us like to count, others hate it, but any person uses numbers everyday to buy things, pay for services, estimated time and necessary resources. People have been wondering about numbers’ properties for thousands of years. And for thousands of years it was more or less just a game that was only interesting for pure mathematicians. Famous 20th century mathematician G.H. Hardy once said “The Theory of Numbers has always been regarded as one of the most obviously useless branches of Pure Mathematics”. Just 30 years after his death, an algorithm for encryption of secret messages was developed using achievements of number theory. It was called RSA after the names of its authors, and its implementation is probably the most frequently used computer program in the word nowadays. Without it, nobody would be able to make secure payments over the internet, or even log in securely to e-mail and other personal services. In this short course, we will make the whole journey from the foundation to RSA in 4 weeks. By the end, you will be able to apply the basics of the number theory to encrypt and decrypt messages, and to break the code if one applies RSA carelessly. You will even pass a cryptographic quest!\\n\\nAs prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","arithmetic; integration testing; cryptography; numbers (spreadsheet); integer factorization; factorization; modular exponentiation; algorithms; cryptosystem; number theory","Introduction to Discrete Mathematics for Computer Science",4.0,"https://www.coursera.org/specializations/discrete-mathematics","Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.","[17.4,89.5]","Greek","English","computer-science","algorithms","wiSD-m_GEeem_Q73lEzyLA"]
["Security Engineering","Cryptography","Cryptography","University of Maryland, College Park","Advanced",25.9,4.46,"https://www.coursera.org/learn/cryptography","This course will introduce you to the foundations of modern cryptography, with an eye toward practical applications.","digital signature; numbers (spreadsheet); number theory; public-key cryptography; message authentication; encryption; message; authentication; cryptography; signature","Cybersecurity",3.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[15.2,34.3]","[NULL]","English","computer-science","computer-security-and-networks","r32oHRuLEeWxXBLj8jbgsw"]
["Security Engineering","Cryptography","Cryptography and Information Theory","University of Colorado System","Intermediate",9.2,4.39,"https://www.coursera.org/learn/crypto-info-theory","Welcome to Cryptography and Information Theory! \\n\\nThis course combines cryptography (the techniques for protecting information from unauthorized access) and information theory (the study of information coding and transfer). More specifically, the course studies cryptography from the information-theoretical perspectives and discuss the concepts such as entropy and the attacker knowledge capabilities, e.g., Kerckhoff's Principle. It also contrasts information-theoretic security and computational security to highlight the different train of thoughts that drive the cryptographic algorithmic construction and the security analyses.\\n\\nThis course is a part of the Applied Cryptography specialization.","information-theoretic security; security through obscurity; cryptography; information theory; cryptanalysis; one-time pad; side-channel attack; entropy (information theory); determinism; computation","Applied Cryptography",1.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[4,14.4]","[NULL]","English","computer-science","computer-security-and-networks","9xAhpFESEeetjQ5ppGVTyA"]
["Security Engineering","Cryptography","Cryptographic Hash and Integrity Protection","University of Colorado System","Advanced",14.6,4.35,"https://www.coursera.org/learn/cryptographic-hash-integrity-protection","Welcome to Cryptographic Hash and Integrity Protection! \\n\\nThis course reviews cryptographic hash functions in general and their use in the forms of hash chain and hash tree (Merkle tree). Building on hash functions, the course describes message authentication focusing on message authentication code (MAC) based on symmetric keys. We then discuss digital signatures based on asymmetric cryptography, providing security properties such as non-repudiation which were unavailable in symmetric-cryptography-based message authentication.\\n\\nThis course is a part of the Applied Cryptography specialization.","hash chain; signature; cryptographic hash function; digital signature; hashing; message authentication; message authentication code; hash function; authentication; cryptography","Applied Cryptography",4.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[6,22.5]","[NULL]","English","computer-science","computer-security-and-networks","7CP_xlETEeeMogo_t-e1wg"]
["Security Engineering","Cyberattacks","Cyber Attack Countermeasures","New York University Tandon School of Engineering","Advanced",13.3,4.77,"https://www.coursera.org/learn/cyber-attack-countermeasures","This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks. These underlying policy enforcements mechanisms help introduce basic functional protections, starting with authentication methods. Learners will be introduced to a series of different authentication solutions and protocols, including RSA SecureID and Kerberos, in the context of a canonical schema. \\n \\nThe basics of cryptography are also introduced with attention to conventional block ciphers as well as public key cryptography. Important cryptographic techniques such as cipher block chaining and triple-DES are explained. Modern certification authority-based cryptographic support is also discussed and shown to provide basis for secure e-commerce using Secure Sockets Layer (SSL) schemes.","public-key cryptography; cybersecurity; information security; covert channel; security; authentication; security modes; s/key; cryptography; biba model","Introduction to Cyber Security",2.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7.3,17.9]","[NULL]","English","computer-science","computer-security-and-networks","0Q9TklgrEeeZ3g7LRzMq2g"]
["Security Engineering","Cyberattacks","Homeland Security and Cybersecurity Future","University of Colorado System","Intermediate",7.5,4.7,"https://www.coursera.org/learn/homeland-security-cybersecurity-future","This course takes a look at the future of cybersecurity with respect to what is being done to lessen the potential for catastrophic destruction resulting from cyber attack on critical infrastructure.  In this respect, we take a short survey of potential technological solutions and response options.  We conclude this module by taking a look at unique aspects of the cyber profession and personal considerations for those who want to make cybersecurity a career.","at&t hobbit; Criminal Justice; analysis; dependent and independent variables; terrorism; constitution; awareness; economy; cybersecurity; analytics","Homeland Security and Cybersecurity",4.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.6,10.5]","[NULL]","English","social-sciences","governance-and-society","I9K1SdkZEea7lQ7A_W1MbA"]
["Security Engineering","Cyberattacks","Cybersecurity Compliance Framework & System Administration","IBM","Intermediate",12.5,4.69,"https://www.coursera.org/learn/cybersecurity-compliance-framework-system-administration","This course gives you the background needed to understand the key cybersecurity compliance and industry standards.  This knowledge will be important for you to learn no matter what cybersecurity role you would like to acquire or have within an organization.\\n\\n You will learn the basic commands for user and server administration as it relates to security. You will need this skill to be able to understand vulnerabilities within your organizations operating systems.\\n\\nYou will learn the concepts of endpoint security and patch management.  Both of these topics are important to keep systems current to avoid cybersecurity incidents against an organization.\\n\\nFinally you will learn in depth skills around cryptography and encryption to understand how these concepts affect software within a company.  \\n\\nThis course is intended for anyone who wants to gain a basic understanding of Security Frameworks, Compliance, endpoint management, encryption or cryptography or as the third course in a series of courses to gain the skill as a Jr Cybersecurity analyst.","penetration test; digital signature; cyber-security regulation; system administration; linux; digital forensics; security; network security; cybersecurity; general data protection regulation","IT Fundamentals for Cybersecurity",3.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[6.2,18.4]","[NULL]","English","information-technology","security","r2017VrTEemLEw4J_47EwA"]
["Security Engineering","Cyberattacks","Homeland Security & Cybersecurity Connection - It's Not About the Terrorists","University of Colorado System","Intermediate",6.8,4.65,"https://www.coursera.org/learn/homeland-security-cybersecurity-connection","Welcome to Course 1 in CS4950, Homeland Security and Cybersecruity. In this course we examine the origins of homeland security and its connection with cybersecurity. Homeland security is about safeguarding the United States from domestic catastrophic destruction. Catastrophic destruction comes in two forms: natural and man-made. For most of history the man-made variety came in the form of warfare and required the combined resources of a nation state. All that changed March 20th, 1995. On that date, members of a quasi-religious cult in Japan attacked the Tokyo subway system using Sarin gas. It was the first deployment of a weapon of mass destruction my a non-state actor. The power of destruction once reserved to nation states was now available to small groups, even individuals. The incident was a wake up call for governments around the world. Defense establishments designed to keep rogue states in check were practically useless against non-state actors. Overnight, the number of potential enemies multiplied a hundred, maybe even a thousand-fold. In response to the Tokyo Subway Attacks, the United States took measures to protect itself from WMD attack by non-state actors. Those measures were still being enacted when the nation was attacked on 9/11. On September 11, 2001, nineteen hijackers inflicted as much damage as the Imperial Japanese Navy on December 7, 1941. The investigating 9/11 Commission noted the attacks for their \"surpassing disproportion\". The hijackers had achieved WMD effects without using WMD. They did this by subverting the nation's transportation infrastructure, turning passenger jets into guided missiles. Again, the security implications were profound. Non-state actors seeking to inflict domestic catastrophic destruction did not need to import, fabricate, or acquire WMD as the nation was surrounded by the means of its own destruction in the form of critical infrastructure. The vulnerability of critical infrastructure had not gone unnoticed. Again, in response to the Tokyo Subway attacks, which themselves had been an attack on Japanese infrastructure, President Clinton in 1996 commissioned a panel to investigate the threat to United States' infrastructure. The panel replied in 1997 that there was no immediate threat to US infrastructure, but they were concerned with the growing risk of cyber attack. The same cyber physical systems that fueled the explosive growth of the Internet were being incorporated into Industrial Control Systems that underpinned much of the nation's critical infrastructure. The panel noted that the knowledge and skills necessary to mount a cyber attack on the nation's infrastructure was growing. As a result of this observation, President Clinton in 1998 ordered the protection of US critical infrastructure, especially from cyber attack. Following 9/11, critical infrastructure protection and cybersecurity were designated core missions in the 2002 Homeland Security Act establishing the new Department of Homeland Security. They remain core missions to this day, but many don't see the connection. The connection is this: cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.  I look forward to working with you in the coming lessons.  Best wishes and good luck!\\n\\nCourse 1: Homeland Security & Cybersecurity Connection\\nCourse 2: Cybersecurity Policy for Water and Electricity Infrastructures\\nCourse 3: Cybersecurity Policy for Aviation and Internet Infrastructures\\nCourse 4: Homeland Security & Cybersecurity Future","security; terrorism; local area network denial; cybersecurity; failure; history; home directory; internet; home network; integration testing","Homeland Security and Cybersecurity",1.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[3.7,9.5]","[NULL]","English","social-sciences","governance-and-society","PxtXqrjVEeaNVQ4ho5Fvgg"]
["Security Engineering","Cyberattacks","Introduction to Cyber Attacks","New York University Tandon School of Engineering","Advanced",12.9,4.61,"https://www.coursera.org/learn/intro-cyber-attacks","This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades. \\n\\nFamiliar analytic models are outlined such as the confidentiality/integrity/availability (CIA) security threat framework, and examples are used to illustrate how these different types of threats can degrade real assets. The course also includes an introduction to basic cyber security risk analysis, with an overview of how threat-asset matrices can be used to prioritize risk decisions. Threats, vulnerabilities, and attacks are examined and mapped in the context of system security engineering methodologies.","security; risk assessment; botnets; matrices; threat; cyberattacks; information security; threat (computer); cybersecurity; risk","Introduction to Cyber Security",1.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7,16.5]","[NULL]","English","computer-science","computer-security-and-networks","pvX6CD5REeaObA6SJ3XZwQ"]
["Security Engineering","Cyberattacks","Cybersecurity Roles, Processes & Operating System Security","IBM","Intermediate",15.2,4.56,"https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security","This course gives you the background needed to understand basic Cybersecurity  around people. process and technology.  You will learn:\\n\\n●\\t Understand the key cybersecurity roles within an Organization. \\n●\\t List key cybersecurity processes and an example of each process.\\n●\\t Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile.\\n●\\t Understand the concept of Virtualization as it relates to cybersecurity \\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge.  More information about the badge can be found here:   https://www.youracclaim.com/org/ibm/badge/cybersecurity-roles-processes-operating-system-security","itil; network security; cloud computing; penetration test; linux; cyber-security regulation; security; forensics; cybersecurity; operating system","IT Fundamentals for Cybersecurity",2.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[5.9,23.7]","[NULL]","English","information-technology","security","BrizCVfcEemQ5QpVooi_CA"]
["Security Engineering","Cyberattacks","Network Security & Database Vulnerabilities","IBM","Intermediate",12.9,4.48,"https://www.coursera.org/learn/network-security-database-vulnerabilities","This course gives you the background needed to understand basic network security.  You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics.  You will learn how networking affects security systems within an organization.  You will learn the network components that guard an organization from cybersecurity attacks.\\n\\nIn addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch.  \\n\\nYou will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.","data management; digital forensics; information security; security; penetration test; database; network security; oracle database; cybersecurity; linux","IT Fundamentals for Cybersecurity",4.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[7,18.5]","[NULL]","English","information-technology","security","3pCB7HgGEem9bArpYNDHGA"]
["Security Engineering","Cyberattacks","Introduction to Cybersecurity Tools & Cyber Attacks","IBM","Intermediate",18.7,4.37,"https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks","This course gives you the background needed to understand basic Cybersecurity.  You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals.  Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.\\n\\nYou will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.\\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge.  More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","cyberattacks; incident management; digital forensics; forensics; encryption; cryptography; security; management; cybersecurity; penetration test","IT Fundamentals for Cybersecurity",1.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[11.1,23.3]","[NULL]","English","information-technology","cloud-computing","0FMl8S8GEemvsQrYkluC5g"]
["Security Engineering","Cyberattacks","Introduction to Cybersecurity Tools & Cyber Attacks","IBM","Intermediate",18.7,4.37,"https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks","This course gives you the background needed to understand basic Cybersecurity.  You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals.  Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.\\n\\nYou will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.\\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge.  More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","cyberattacks; incident management; digital forensics; forensics; encryption; cryptography; security; management; cybersecurity; penetration test","IT Fundamentals for Cybersecurity",1.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[11.1,23.3]","[NULL]","English","information-technology","cloud-computing","0FMl8S8GEemvsQrYkluC5g"]
["Security Engineering","Human Factors (Security)","Securing Digital Democracy","University of Michigan","Advanced",17.9,4.84,"https://www.coursera.org/learn/digital-democracy","In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.","unique key; political science; cybersecurity; distributed denial of service; usability; terminal server; wii menu; elections; internet; security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,22.7]","[NULL]","English","computer-science","computer-security-and-networks","52n7Ml8SEeSiWyIACyQQqQ"]
["Security Engineering","Human Factors (Security)","Cybersecurity and the X-Factor","University System of Georgia","Intermediate",8.3,4.58,"https://www.coursera.org/learn/cybersecurity-and-x-factor","What is the X-Factor? In Cybersecurity, the X-Factor related to unknown and unpredictable human behavior within and outside of your organization. “No one really knows why humans do what they do”, (David K. Reynolds), and because of this organizations can be unprepared for malicious, untrained, or even best intentioned behavior that can cause alarm and sometimes irreparable harm.  \\n\\nThis course will introduce you to the types of training available to reduce the impact of the X-Factor, evaluate its effectiveness, explore the Security Education, Training and Awareness (SETA) program, and learn why it may fail. The course will conclude with information designed to assist you with some critical components for your business security program. Activities focused on hactivism, cyberinsurance, and ransomware will round out your knowledge base.  Your team of instructors has prepared a series of readings, discussions, guest lectures, and quizzes to engage you in this exciting topic.","ransomware; cybersecurity; internet of things; locky; information security; scaled agile framework; insider threat; entity; security management; failure","Cybersecurity: Developing a Program for Your Business",3.0,"https://www.coursera.org/specializations/cybersecurity-developing-program-for-business","Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.","[4.8,10.4]","[NULL]","English","computer-science","computer-security-and-networks","K1OOQOR5EeWwaBIy029mpQ"]
["Security Engineering","Human Factors (Security)","Cybersecurity and Mobility","University System of Georgia","Beginner",8.3,4.37,"https://www.coursera.org/learn/cybersecurity-mobility","This course is for you if you are interested in transitioning toward a managerial role in cybersecurity and mobility. Through interviews with industry experts in this area, you will be able to analyze innovations powering the rapid spread of information technology and how they present new challenges for protecting data. For example, mobile devices increase convenience but often bypass traditional security measures. After this course, you will be able to describe how the nature of the threat evolves, as culprits employ a burgeoning set of sophisticated tools to take advantage of our growing reliance on networks for critical-data exchange.\\n\\nIf you want to pursue a career in the public sector, the stakes are high as well. The proliferation of hackers, inevitable human errors, bring-your-own-device (BYOD) initiatives, and the ever-broadening need to share information weigh heavily on government and education organizations, and consume substantial resources. The Pentagon, for example, has proposed to spend $23 billion on network security initiatives through 2018. This sounds like a large sum, until you consider the scope and importance of the U.S. government information resources this investment must protect.\\n\\nAfter completing the course modules you will be able to explain how yesterday’s prevention strategies are no longer adequate for stopping advanced, targeted attacks. Effective cybersecurity must be multi-dimensional and tiered, as threats can originate from virtually anywhere, target numerous levels of an organization, and sometimes persist for months or years before an information security staff is aware of an attack or breach. Therefore securing networks requires a holistic approach that incorporates several elements.","ordered pair; mobile security; network security; internet of things; security; curve fitting; integration testing; cybersecurity; sed; openfabrics alliance","Cybersecurity: Developing a Program for Your Business",1.0,"https://www.coursera.org/specializations/cybersecurity-developing-program-for-business","Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.","[4.9,10.2]","[NULL]","English","computer-science","computer-security-and-networks","BuO0neR5EeWYOBIRup69HQ"]
["Security Engineering","Security Software","Software Security","University of Maryland, College Park","Intermediate",30.3,4.6,"https://www.coursera.org/learn/software-security","This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, we take a \"build security in\" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems. Successful learners in this course typically have completed sophomore/junior-level undergraduate work in a technical field, have some familiarity with programming, ideally in C/C++ and one other \"managed\" program language (like ML or Java), and have prior exposure to algorithms. Students not familiar with these languages but with others can improve their skills through online web tutorials.","internet security; sql; software; fuzz testing; penetration test; web; software testing; buffer overflow; security; sql injection","Cybersecurity",2.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[15.7,46.9]","Korean","English","computer-science","computer-security-and-networks","aZysaaT7EeWiJhIfkgG__w"]
["Security Engineering","Security Software","Usable Security","University of Maryland, College Park","Beginner",14.8,4.5,"https://www.coursera.org/learn/usable-security","This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.","usability; user interface; Security Design; privacy; authentication; password; security; cybersecurity; java annotation; software testing","Cybersecurity",1.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[8.1,18]","[NULL]","English","computer-science","computer-security-and-networks","dPkbnh6zEeWP0w4yK2369w"]
["Security Engineering","Software Security","Software Design Threats and Mitigations","University of Colorado System","Advanced",9.4,4.85,"https://www.coursera.org/learn/software-design-threats-mitigations","The design step in developing software has some unique characteristics.  First of all, it’s the only step where drawing pictures of things is the norm.  Why is that?  What do pictures do that other representations cannot do?  Pictures have varying levels of detail; pictures have context.  Pictures…paint a picture.  Why are these things important?  In this course, too, we begin looking at other disciplines (building architecture is a favorite one) for lessons on design.","cryptography; software design; hashing; sql injection; buffer overflow; failure; sql; proof-of-work system; bitcoin; database","Secure Software Design",4.0,"https://www.coursera.org/specializations/secure-software-design","Information security is an extremely important topic in our world today. As individuals, we seek to protect our personal information while the corporations we work for have to protect suppliers, customers, and company assets. Creating secure software requires implementing secure practices as early in the software development lifecycle (SDLC) as possible.\\n\\nThis Specialization focuses on ensuring security as part of software design and is for anyone with some workplace experience in software development who needs the background, perspective, and skills to recognize important security aspects of software design.\\n\\nYou’ll consider secure design for multiple SDLC models, software architecture considerations, and design patterns. You’ll understand how to identify and implement secure design when considering databases, UML, unit testing, and ethics. Mindsets and attitudes of successful designers—and hackers—are presented as well as project successes and failures.\\n\\nAlways at the core of front-end design will be user experience and you will have the opportunity to ensure clean and effective user interfaces that also serve to provide the best security. Back-end development topics such as database design are also covered.","[3.1,14.1]","[NULL]","English","computer-science","software-development","JgdGVmOUEeenbhIEmtW1dA"]
["Security Engineering","Software Security","G Suite Security","Google Cloud","Beginner",3.2,4.73,"https://www.coursera.org/learn/g-suite-security","G Suite Security is is the third course in the G Suite Administration Specialization.\\n\\nIn this course you will focus on the various aspects of G Suite Security including user password policies and how to enable and enforce two step verification (2SV) for your users. You will learn about application security and understand how to whitelist and block API access to your account. You will see how G Suite can easily be integrated with a number of predefined 3rd party applications. You will also become familiar with the SSO options in G Suite. Finally you will understand how to spot potential security risks within your organization and learn how to address them using the tools available in the admin console.\\n\\nLearning Objectives\\n\\nBy the end of this course participants will be able to:\\n\\n- Configure Google's default user protection settings such as password policies and recovery options.\\n- Understand best practices for implementing and enforcing 2-step verification in your organization.\\n- Understand the SSO options available and be able to identify the differences between using Google as an Identity Provider versus a 3rd party provider.\\n- Be able to integrate cloud based enterprise SAML applications into your G Suite account using Google as the Identity Provider.\\n- Understand how to integrate your own LDAP compliant applications into G Suite using the Secure LDAP service.\\n- Restrict access to a Google service to trusted applications only to prevent malicious attacks on that service.\\n- Manage the G Suite Marketplace for your organization to ensure only trusted applications can be installed on your devices.\\n- Use the security and alert centers to identify, triage, and take action on security and privacy issues in your organization.\\n\\nPrerequisites\\n\\nYou should have completed the first two courses in the series: Introduction to G Suite, and Managing G Suite.","audit; integration testing; graphical environment manager; graphical model; capital market; google; security; audit trail; application programming interfaces; auditor's report","G Suite Administration",3.0,"https://www.coursera.org/specializations/g-suite-administration","The G Suite Administration Specialization has been developed to help administrators master the foundations of managing and establishing G Suite best practices for their organization.\\n\\nYou will setup and configure a new G Suite account, and explore options for provisioning users, groups and resources. You will learn how to manage your users and also become familiar with organizational structures and G Suite core services such as Gmail, Calendar, and Drive & Docs. You will learn how to configure these services to meet your particular business needs for different parts of the organization.\\n\\nIn the security module you will be introduced to Google's best practices to protect your users and data. You will examine user and application security and become familiar with the Single Sign On (SSO) options available for your organization. You will be able to use the tools provided to identify security events and risks and mitigate problems that may arise.\\n\\nFinally you will look at G Suite mail management. In this module you will configure email compliance and implement measures to protect your organization from spam, spoofing, phishing and malware attacks. You will also become familiar with the various mail routing options available.","[1.5,4.4]","Japanese","English","computer-science","computer-security-and-networks","N52rKYv8Eemk2A6-vt0r4A"]
["Security Engineering","Software Security","Mitigating Security Vulnerabilities on Google Cloud Platform","Google Cloud","Beginner",12.2,4.71,"https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; uniform resource locator; cloud computing; denial-of-service attacks; security; vulnerability (computing); digital signature; privacy; authorization; google cloud platform","Security in Google Cloud Platform",3.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.8,14.4]","[NULL]","English","information-technology","cloud-computing","BkQTO_GxEeiCNw6qJOIwLA"]
["Security Engineering","Software Security","Software Security","University of Maryland, College Park","Intermediate",30.3,4.6,"https://www.coursera.org/learn/software-security","This course we will explore the foundations of software security. We will consider important software vulnerabilities and attacks that exploit them -- such as buffer overflows, SQL injection, and session hijacking -- and we will consider defenses that prevent or mitigate these attacks, including advanced testing and program analysis techniques. Importantly, we take a \"build security in\" mentality, considering techniques at each phase of the development cycle that can be used to strengthen the security of software systems. Successful learners in this course typically have completed sophomore/junior-level undergraduate work in a technical field, have some familiarity with programming, ideally in C/C++ and one other \"managed\" program language (like ML or Java), and have prior exposure to algorithms. Students not familiar with these languages but with others can improve their skills through online web tutorials.","internet security; sql; software; fuzz testing; penetration test; web; software testing; buffer overflow; security; sql injection","Cybersecurity",2.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[15.7,46.9]","Korean","English","computer-science","computer-security-and-networks","aZysaaT7EeWiJhIfkgG__w"]
["Security Engineering","Software Security","Usable Security","University of Maryland, College Park","Beginner",14.8,4.5,"https://www.coursera.org/learn/usable-security","This course focuses on how to design and build secure systems with a human-centric focus. We will look at basic principles of human-computer interaction, and apply these insights to the design of secure systems with the goal of developing security measures that respect human performance and their goals within a system.","usability; user interface; Security Design; privacy; authentication; password; security; cybersecurity; java annotation; software testing","Cybersecurity",1.0,"https://www.coursera.org/specializations/cyber-security","The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. These concepts are illustrated with examples drawn from modern practice, and augmented with hands-on exercises involving relevant tools and techniques. Successful participants will develop a way of thinking that is security-oriented, better understanding how to think about adversaries and how to build systems that defend against them.","[8.1,18]","[NULL]","English","computer-science","computer-security-and-networks","dPkbnh6zEeWP0w4yK2369w"]
["Security Engineering","Software Security","Network Security & Database Vulnerabilities","IBM","Intermediate",12.9,4.48,"https://www.coursera.org/learn/network-security-database-vulnerabilities","This course gives you the background needed to understand basic network security.  You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics.  You will learn how networking affects security systems within an organization.  You will learn the network components that guard an organization from cybersecurity attacks.\\n\\nIn addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch.  \\n\\nYou will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.","data management; digital forensics; information security; security; penetration test; database; network security; oracle database; cybersecurity; linux","IT Fundamentals for Cybersecurity",4.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[7,18.5]","[NULL]","English","information-technology","security","3pCB7HgGEem9bArpYNDHGA"]
["Security Engineering","Software Security","Identifying Security Vulnerabilities","University of California, Davis","Advanced",15.7,4.43,"https://www.coursera.org/learn/identifying-security-vulnerabilities","This course will help you build a foundation of some of the fundamental concepts in secure programming. We will learn about the concepts of threat modeling and cryptography and you'll be able to start to create threat models, and think critically about the threat models created by other people. We'll learn the basics of applying cryptography, such as encryption and secure hashing. We'll learn how attackers can exploit application vulnerabilities through the improper handling user-controlled data. We'll gain a fundamental understanding of injection problems in web applications, including the three most common types of injection problems: SQL injection, cross-site scripting, and command injection. \\nWe'll also cover application authentication and session management where authentication is a major component of a secure web application and session management is the other side of the same coin, since the authenticated state of user requests need to be properly handled and run as one session. We'll learn about sensitive data exposure issues and how you can help protect your customer's data. We'll cover how to effectively store password-related information, and not to store the actual plaintext passwords. We'll participate in coding assignment that will help you to better understand the mechanisms for effectively storing password-related information.\\n\\nAlong the way, we’ll discuss ways of watching out for and mitigating these issues and be able have some fun and exploit two different vulnerabilities in a web application that was designed to be vulnerable, called WebGoat.","owasp; cryptography; cybersecurity; threat model; penetration test; application security; secure coding; c programming; security; internet security","Secure Coding Practices",2.0,"https://www.coursera.org/specializations/secure-coding-practices","This Specialization is intended for software developers of any level who are not yet fluent with secure coding and programming techniques.Through four courses, you will cover the principles of secure coding, concepts of threat modeling and cryptography and exploit vulnerabilities in both C/C++ and Java languages, which will prepare you to think like a hacker and protect your organizations information. The courses provide ample practice activities including exploiting WebGoat, an OWASP project designed to teach penetration testing.","[11.2,23]","[NULL]","English","computer-science","computer-security-and-networks","V1k0pBtIEemZRAqH7m9oGA"]
["Security Engineering","System Security","Information Systems Auditing, Controls and Assurance","The Hong Kong University of Science and Technology","Beginner",9.9,4.75,"https://www.coursera.org/learn/information-systems-audit","Information systems (IS) are important assets to business organizations and are ubiquitous in our daily lives. \\n\\nWith the latest IS technologies emerging, such as Big Data, FinTech, Virtual Banks, there are more concerns from the public on how organizations maintain systems’ integrity, such as data privacy, information security, the compliance to the government regulations. Management in organizations also need to be assured that systems work the way they expected. IS auditors play a crucial role in handling these issues.\\n\\nIn the course “Information Systems Auditing, Controls and Assurance”, you will explore risks of information systems, and how to mitigate the risks by proper IS Controls. You will also get familiar with the IS Audit procedures and how they are applied during the IS development throughout the Systems Development Life Cycle (SDLC). \\n\\nFinally, you will get to observe how we can make the system changes more manageable using formal IS Management practices, such as Change Management Controls and Emergency Changes. \\n\\nThe conversations between the course instructor - Prof. Percy Dias, and the IS auditing practitioner will give you a concrete idea on how IS auditors perform their duties, the qualities to become IS auditors and future prospects of IS auditing industry.\\n\\nThis course is suitable for students and graduates from Information Systems, Information Technology and Computer Science, and IT practitioners who are interested to get into the IS auditing field. It is also a good starting point for learners who would like to pursue further studies for IS audit certifications – such as Certified Information Systems Auditor (CISA).","internal control; audit; internal audit; information technology audit; information technology security audit; management information system; information technology; security; information security; financial technology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,13.3]","[NULL]","English","information-technology","security","rpgDo3bvEemI3hKEZBIFgg"]
["Security Engineering","System Security","Cybersecurity Roles, Processes & Operating System Security","IBM","Intermediate",15.2,4.56,"https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security","This course gives you the background needed to understand basic Cybersecurity  around people. process and technology.  You will learn:\\n\\n●\\t Understand the key cybersecurity roles within an Organization. \\n●\\t List key cybersecurity processes and an example of each process.\\n●\\t Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile.\\n●\\t Understand the concept of Virtualization as it relates to cybersecurity \\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge.  More information about the badge can be found here:   https://www.youracclaim.com/org/ibm/badge/cybersecurity-roles-processes-operating-system-security","itil; network security; cloud computing; penetration test; linux; cyber-security regulation; security; forensics; cybersecurity; operating system","IT Fundamentals for Cybersecurity",2.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[5.9,23.7]","[NULL]","English","information-technology","security","BrizCVfcEemQ5QpVooi_CA"]
["Security Engineering","System Security","Proactive Computer Security","University of Colorado System","Intermediate",9.5,4.46,"https://www.coursera.org/learn/proactive-computer-security","I’ve heard this before – “I’m not sure my computer security practices are working”.  I reply “Have you tested them?”  This course is the fourth and final course in the Practical Computer Security specialization.  In this course, you’ll learn how to proactively test what you have put in place to protect your data.  In the first week you’ll be able to discuss the basics of deterrents and how to “trick” attackers into believing they’ve hit a goldmine of data away from your real systems.  In week 2, you’ll be able to understand and discuss the steps of penetration testing methodology.  In week 3, you will be able to understand and apply what you have learned on your own systems to test whether your systems are secure or not.  In week 4, we’ll discuss planning for your own methodology that you can apply to your own systems.  And finally in week 5, we’ll finish up with a project that will allow you to test your skills in a safe environment.","penetration test; information security; nmap; certified information systems security professional; owasp; information hiding; cybersecurity; security management; computer fraud and abuse act; metasploit project","Cybersecurity for Business",4.0,"https://www.coursera.org/specializations/cyber-security-business","It seems anymore that you can't listen to the news without hearing of a data breach. You may have heard it said before that there are 2 types of companies out there, the ones who have been breached and those who will be breached. Defending against attackers who want to compromise assets can seem like an arduous task, but learning how attacks work and more importantly how to defend against those attacks can be very fulfilling. This specialization is designed to introduce you to practical computer security by teaching you the fundamentals of how you use security in the business world. This course is for those who want to understand how to defend computer systems and assets from attackers and other threats. It is also for those who want to understand how threats and attacks are carried out to help better defend their systems. This specialization is designed for senior business leaders to middle management and system administrators, so they can all speak the same language and get a better handle on their organization's security. Additionally, the course material may help you in passing some industry leading computer security examinations such as Security+ and CISSP.","[4.4,13.7]","[NULL]","English","information-technology","security","eLWeYLmLEeaHhwpEISB4Yg"]
["Computer Graphics","Best Courses","Concept Art for Video Games","Michigan State University","Beginner",12.6,4.88,"https://www.coursera.org/learn/concept-art-video-games","In this course we will talk about Concept Art. As a final project we will create a fully finished environment concept, ready for presentation. Throughout the 4 week modules will dive deeply into composition and digital painting techniques to bring your art skills to the next level! So, let's get started!","zbrush; adobe photoshop; nora (cat); architectural rendering; convex geometry; virtual art; one sheet; print (magazine); normal lens; game design","Art for Games",4.0,"https://www.coursera.org/specializations/art-for-games","In this beginner focused specialization we will show you the essentials of 2d and 3d game art production as well as concept art for games and current gen game art workflow. While each of the four courses will build your knowledge of the practice of game art, each module is a self contained unit designed to teach a specific area.\\n\\nBy the end of the Specialization, you will have a thorough knowledge of the creation of high-quality game art assets. Through these courses, you will be using Maya, Unity, Photoshop, Sketchup, ZBrush, Marmoset Toolbag, and Substance Painter.","[6.2,16.1]","[NULL]","English","arts-and-humanities","music-and-art","byYNTFkVEei-TBLgOSj5Og"]
["Computer Graphics","Best Courses","Graphic Elements of Design: Color Theory and Image Formats","University of Colorado Boulder","Intermediate",5.9,4.82,"https://www.coursera.org/learn/graphic-elements-design","Examining and exploring the various types of images and graphic elements will be the focus of this course. We will start with color theory to distinguish between CMYK, Pantone and RGB color options and their usages. Then we will review the various types of images used in both print and digital design projects. Finally we will look at logo designs to determine what makes for the best images and graphic elements for corporate branding and imaging.","web design; Art History; logo; Color Theory; vector graphics; adobe photoshop; graphic design; illustration; graphics; adobe illustrator","Graphic Design Elements for Non-Designers",2.0,"https://www.coursera.org/specializations/graphic-design-elements-non-designers","In this hands-on specialization, you will explore basic graphic design elements, color theory, images, publication design and techniques for creating effective layouts. You will also learn about typography, the creative process, the importance of brainstorming, and how to discuss and critique design in a professional setting. Page layout software and online sites will be used to incorporate and manipulate text, color, photographs and images.\\n\\nIf you are curious about the design process, work on a team with designers and need to speak some of their language, or want to empower the creatives on your team to be even better, this specialization is made for you.","[3.3,7.1]","[NULL]","English","arts-and-humanities","history","GtBnESNNEemgCw6mOm9edg"]
["Computer Graphics","Best Courses","Introduction to Game Development","Michigan State University","Beginner",37.2,4.78,"https://www.coursera.org/learn/game-development","If you love games and want to learn how to make them, then this course will start you down that path. Making games is a creative and technical art form. In this course you will familiarize yourself with the tools and practices of game development. You will get started developing your own videogames using the industry standard game development tools, including the Unity3D game engine and C#. At the end of the course you will have completed three hands-on projects and will be able to leverage an array of game development techniques to create your own basic games. This course is for individuals interested in becoming a game designer, game artist, or game programmer.","c sharp (programming language); unity (user interface); video game development; language; interfaces; game design; computer programming; user interface; programming language; java annotation","Game Design and Development",1.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[19.8,69]","[NULL]","English","computer-science","software-development","2H8ExCTIEeWeDBJG1XrG0w"]
["Computer Graphics","Best Courses","Game Development for Modern Platforms","Michigan State University","Beginner",18.6,4.78,"https://www.coursera.org/learn/gamedev-platforms","The device or \"platform\" that a game is developed for and played on has a massive impact on the game development process. In this hands-on course you will explore how to develop a game for a variety of modern platforms, including Web, Windows, Mac OS X, iOS, and Android. While building a complete game, you will learn intermediate and advanced game development techniques in the Unity game engine.  By the end of the course, you will understand how to develop, refine, package, and prepare your game for distribution on a variety of game platforms. Particular attention will be given to developing a 2D platformer game that supports multiple forms of input (keyboard/mouse, controller, and touch), works across multiple forms of output (screen size, screen resolution, sound), and performs well on a variety of computing devices.","mathematical optimization; video game development; game design; gameplay; user interface; integration testing; java annotation; video game design; unity (user interface); unreal engine","Game Design and Development",4.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[13,22.3]","[NULL]","English","computer-science","software-development","Z7-ViyT-EeW5pgpJEN0S6w"]
["Computer Graphics","Best Courses","Introduction to Typography","California Institute of the Arts","Beginner",9.9,4.76,"https://www.coursera.org/learn/typography","Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.\\n\\nIn this rigorous introductory course, we will study, name, and measure the characteristics of letterforms. We’ll consider the pragmatic concerns involved in selecting and combining type. We’ll peek into the \u2028rich historical, cultural, and aesthetic histories of familiar typefaces. We’ll discuss time-tested conventions and best practices in setting type, as governed by principles of hierarchy and spatial organization. And we’ll explore the expressive, meaning-making potential of type. \\n\\nInformative lectures will be complemented by a series of three peer-assessed assignments, culminating \u2028in an opportunity to design a full-scale typographic poster.\\n\\nPlease note that this is not a software course; a basic working knowledge of Adobe InDesign or other \u2028page layout software will be assumed. You will need access to a computer and page layout software, such as InDesign, to complete the assignments.","history; learning; Creativity; poster; adobe indesign; graphics; Poster Design; integration testing; graphic design; typography","Graphic Design",2.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[6.4,11.8]","[NULL]","English","arts-and-humanities","music-and-art","BPkiQyWcEeWxbhIkPfddLQ"]
["Computer Graphics","Best Courses","Fundamentals of Graphic Design","California Institute of the Arts","Beginner",13.5,4.72,"https://www.coursera.org/learn/fundamentals-of-graphic-design","Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.\\n\\nThrough visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.\\n\\nAt the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design.\\n\\nTo succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.","art; graphics; integration testing; learning; adobe photoshop; Color Theory; typography; design theory; Creativity; graphic design","Graphic Design",1.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[8.6,16.1]","Spanish","English","arts-and-humanities","music-and-art","I82JCSWXEeWtRg6boA3D-Q"]
["Computer Graphics","Best Courses","Graphic Design","University of Colorado Boulder","Intermediate",10.9,4.7,"https://www.coursera.org/learn/presentation-design","Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale.\\n\\nThis practical course gives you the tools  to create professional looking Powerpoints, reports, resumes, and presentations.. Using a set of best practices refined through years of experience, you’ll: \\n\\n• make your work look fresh and inspired.\\n• apply simple design “tricks” to begin any project with confidence and professionalism.\\n• receive and respond to criticism and revise your project from good to great.\\n\\n\"This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online.\" - a recent Graphic Design student\\n\\nAll of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign.","Business Writing; presentation; adobe photoshop; visual communication; graphics; graphic design; learning; need; typography; adobe illustrator","Effective Communication: Writing, Design, and Presentation",2.0,"https://www.coursera.org/specializations/effective-business-communication","Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do.\\n\\nWhat our students say:\\n\\n\"A life-changing specialization.\"\\n\\n\"Simple yet powerful rules.\"\\n\\n\"Essential for everyone.\"","[4,13.9]","Arabic; Italian","English","business","business-essentials","EH0q6oysEeWIbw4397jVQw"]
["Computer Graphics","Best Courses","Introduction to Virtual Reality","University of London","Intermediate",16.9,4.67,"https://www.coursera.org/learn/introduction-virtual-reality","This course will introduce you to Virtual Reality (VR). The course will teach you everything from the basics of VR- the hardware and the history of VR- to different applications of VR, the psychology of Virtual Reality, and the challenges of the medium.\\n\\nThe course is designed for people who are new to VR as a medium. You may have experienced some virtual reality before, and may have some hardware- but this course is suitable to individuals who have never experienced VR and those who do not have much hardware- we will explain Mobile VR as well as devices such as the Oculus Rift and HTC Vive.\\n\\nIntroduction to Virtual Reality is the first course in the Virtual Reality Specialisation. A learner with no previous experience in Virtual Reality and/or game programming will be able to evaluate existing VR applications, and design, test, and implement their own VR experiences/games using Unity by the end of the specialisation.","virtual reality; blender (software); plausibility structure; 3d modeling; augmented reality; Autodesk; 360-degree video; computer animation; unreal engine; autodesk 3ds max","Virtual Reality",1.0,"https://www.coursera.org/specializations/virtual-reality","This specialisation from the University of London will introduce you to virtual reality.\\n\\nVirtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.","[11.1,24.4]","Arabic; Russian","English","computer-science","design-and-product","pXYrg_jbEeaRvRLVBNP8Xg"]
["Computer Graphics","Best Courses","Introduction to Game Design","California Institute of the Arts","Intermediate",10.6,4.67,"https://www.coursera.org/learn/game-design","Welcome! This course is an introduction to the primary concepts of gaming, and an exploration of how these basic concepts affect the way gamers interact with our games. In this course you will understand what defines a “game” and the mechanics and rules behind different types of games. Through four linked assignments you'll learn ways to create and describe a game concept, and specifically what makes a compelling game. This course focuses on the conceptual underpinnings of games, and all assignments can be completed with a pencil and paper – no previous programming knowledge is required.","game testing; video game development; attention; balance (game design); game design; applied digital data systems; storyboarding; gameplay; video game design; 4dos","Game Design: Art and Concepts",1.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[7.2,12.7]","Portuguese; Spanish; Russian; Ukrainian; German; Chinese","English","arts-and-humanities","music-and-art","6DwzaCw7EeWGvAojQA48rw"]
["Computer Graphics","Best Courses","Introduction to C# Programming and Unity","University of Colorado System","Beginner",23.9,4.64,"https://www.coursera.org/learn/introduction-programming-unity","This course is all about starting to learn how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course doesn't assume you have any previous programming experience. Don't worry if you've never written code before; we'll start at the very beginning and work our way up to building small games by the end of the course. Throughout the course you'll learn core programming concepts that apply to lots of programming languages, including C#, and you'll also learn how to apply those concepts when you develop games.\\n\\nComputer programming is really fun in general, and programming games is even better!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since this course is essentially the first half of a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Write your first C# console application and Unity script and learn how we store data in our programs\\nModule 2: Learn how we use classes and objects to implement our code\\nModule 3: Learn the basics of Unity 2D games and discover how we make decisions in our code\\nModule 4: Get and use player input in your Unity games\\nModule 5: Complete final peer review and take \"Final Exam\"\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","user interface; programming language; computer programming; omega language; java annotation; c programming; unity (user interface); c sharp (programming language); language; interfaces","C# Programming for Unity Game Development",1.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[16.1,30.2]","German; Chinese","English","computer-science","software-development","GZIxPCovEeeW5RJUyz1uFA"]
["Computer Graphics","Computer Graphic Techniques","Interactive Computer Graphics","The University of Tokyo","Advanced",22.5,4.4,"https://www.coursera.org/learn/interactive-computer-graphics","Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role in harnessing the users' creativity. This course will introduce various interactive tools developed in computer graphics research field with their design rationales and algorithms. Examples include enhancements to graphical user interfaces, authoring tools for 2D drawings and 3D animations, and interactive computer-aided design systems. Rich live demonstrations and course assignments will give you insights and skills to design and implement such tools for your own problems.","computer graphics; graphics; interfaces; geometric modeling; graphical user interface; interactivity; computer-aided design; blender (software); user interface; human computer interaction","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.2,30]","Japanese","English","computer-science","software-development","Qx-vkAocEeWAYyIACmGIdw"]
["Computer Graphics","Graphic Design","Brand New Brand","California Institute of the Arts","Beginner",12.3,4.93,"https://www.coursera.org/learn/brand-new-brand","This course is the culmination of the Graphic Design Specialization and gives you an opportunity to tie together your knowledge and skills into a single project: a brand development guide for a company you will invent.\\n\\nThis course takes you through the entire design process, from ideation to creation to presentation. Through the guide, you will be creating and giving a visual identity to an imaginary start-up company, and applying that visual identity to a number of forms. You will also develop a logotype and accompanying graphic palette to visually represent your company, as well as apply that design to a number of different applications to see it at work.\\n\\nNote: Only learners who have earned a certificate in the four previous courses in the Specialization are eligible to take the Capstone.","history; brand; adobe indesign; graphics; adobe illustrator; art; integration testing; Creativity; adobe photoshop; graphic design","Graphic Design",5.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[7.5,15.5]","Spanish","English","arts-and-humanities","music-and-art","zwNXQiWXEeWCGRL6mLoB5w"]
["Computer Graphics","Graphic Design","Graphic Elements of Design: Color Theory and Image Formats","University of Colorado Boulder","Intermediate",5.9,4.82,"https://www.coursera.org/learn/graphic-elements-design","Examining and exploring the various types of images and graphic elements will be the focus of this course. We will start with color theory to distinguish between CMYK, Pantone and RGB color options and their usages. Then we will review the various types of images used in both print and digital design projects. Finally we will look at logo designs to determine what makes for the best images and graphic elements for corporate branding and imaging.","web design; Art History; logo; Color Theory; vector graphics; adobe photoshop; graphic design; illustration; graphics; adobe illustrator","Graphic Design Elements for Non-Designers",2.0,"https://www.coursera.org/specializations/graphic-design-elements-non-designers","In this hands-on specialization, you will explore basic graphic design elements, color theory, images, publication design and techniques for creating effective layouts. You will also learn about typography, the creative process, the importance of brainstorming, and how to discuss and critique design in a professional setting. Page layout software and online sites will be used to incorporate and manipulate text, color, photographs and images.\\n\\nIf you are curious about the design process, work on a team with designers and need to speak some of their language, or want to empower the creatives on your team to be even better, this specialization is made for you.","[3.3,7.1]","[NULL]","English","arts-and-humanities","history","GtBnESNNEemgCw6mOm9edg"]
["Computer Graphics","Graphic Design","Print and Digital Elements of Design: Branding and User Experience","University of Colorado Boulder","Beginner",4.7,4.77,"https://www.coursera.org/learn/designing-print-digital-media","Graphic design projects can be delivered in either a printed format or a digital format, or both. This course will look at how to work with creative professionals to get the ideal usage out of a design to use in print medium such as logos, brochures and larger printed projects that will also carry over as seamlessly as possible into the digital realm of websites and social media. We will also cover the user experience and how to keep the end result in mind when working on creative endeavors.","brochure; user experience; Brand Design; adobe illustrator; art; adobe photoshop; graphic design; Environmental Graphic Design; brand; adobe indesign","Graphic Design Elements for Non-Designers",4.0,"https://www.coursera.org/specializations/graphic-design-elements-non-designers","In this hands-on specialization, you will explore basic graphic design elements, color theory, images, publication design and techniques for creating effective layouts. You will also learn about typography, the creative process, the importance of brainstorming, and how to discuss and critique design in a professional setting. Page layout software and online sites will be used to incorporate and manipulate text, color, photographs and images.\\n\\nIf you are curious about the design process, work on a team with designers and need to speak some of their language, or want to empower the creatives on your team to be even better, this specialization is made for you.","[3.1,5.2]","[NULL]","English","arts-and-humanities","history","Mhe49CNNEemN7hLiAmzXPg"]
["Computer Graphics","Graphic Design","Introduction to Typography","California Institute of the Arts","Beginner",9.9,4.76,"https://www.coursera.org/learn/typography","Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.\\n\\nIn this rigorous introductory course, we will study, name, and measure the characteristics of letterforms. We’ll consider the pragmatic concerns involved in selecting and combining type. We’ll peek into the \u2028rich historical, cultural, and aesthetic histories of familiar typefaces. We’ll discuss time-tested conventions and best practices in setting type, as governed by principles of hierarchy and spatial organization. And we’ll explore the expressive, meaning-making potential of type. \\n\\nInformative lectures will be complemented by a series of three peer-assessed assignments, culminating \u2028in an opportunity to design a full-scale typographic poster.\\n\\nPlease note that this is not a software course; a basic working knowledge of Adobe InDesign or other \u2028page layout software will be assumed. You will need access to a computer and page layout software, such as InDesign, to complete the assignments.","history; learning; Creativity; poster; adobe indesign; graphics; Poster Design; integration testing; graphic design; typography","Graphic Design",2.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[6.4,11.8]","[NULL]","English","arts-and-humanities","music-and-art","BPkiQyWcEeWxbhIkPfddLQ"]
["Computer Graphics","Graphic Design","Fundamentals of Graphic Design","California Institute of the Arts","Beginner",13.5,4.72,"https://www.coursera.org/learn/fundamentals-of-graphic-design","Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.\\n\\nThrough visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.\\n\\nAt the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design.\\n\\nTo succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.","art; graphics; integration testing; learning; adobe photoshop; Color Theory; typography; design theory; Creativity; graphic design","Graphic Design",1.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[8.6,16.1]","Spanish","English","arts-and-humanities","music-and-art","I82JCSWXEeWtRg6boA3D-Q"]
["Computer Graphics","Graphic Design","Graphic Design","University of Colorado Boulder","Intermediate",10.9,4.7,"https://www.coursera.org/learn/presentation-design","Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale.\\n\\nThis practical course gives you the tools  to create professional looking Powerpoints, reports, resumes, and presentations.. Using a set of best practices refined through years of experience, you’ll: \\n\\n• make your work look fresh and inspired.\\n• apply simple design “tricks” to begin any project with confidence and professionalism.\\n• receive and respond to criticism and revise your project from good to great.\\n\\n\"This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online.\" - a recent Graphic Design student\\n\\nAll of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign.","Business Writing; presentation; adobe photoshop; visual communication; graphics; graphic design; learning; need; typography; adobe illustrator","Effective Communication: Writing, Design, and Presentation",2.0,"https://www.coursera.org/specializations/effective-business-communication","Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do.\\n\\nWhat our students say:\\n\\n\"A life-changing specialization.\"\\n\\n\"Simple yet powerful rules.\"\\n\\n\"Essential for everyone.\"","[4,13.9]","Arabic; Italian","English","business","business-essentials","EH0q6oysEeWIbw4397jVQw"]
["Computer Graphics","Graphic Design","Ideas from the History of Graphic Design","California Institute of the Arts","Beginner",13.4,4.63,"https://www.coursera.org/learn/graphic-design-history","This condensed survey course focuses on four key periods or themes from the history of design. Together we’ll trace the emergence of design as a recognized practice, why things look the way they do, and how designers approached specific design problems in their work. \\n\\nEach week, a short quiz will test your knowledge of concepts, and a short reflective assignment will give you the opportunity to analyze the questions designers ask themselves today.\\n\\nThis is an essential course for emerging designers entering the field, or for students interested in learning more about visual culture and analysis. No previous experience is required.","history; communication design; Art History; integration testing; adobe photoshop; graphics; adobe illustrator; graphic design; adobe indesign; art","Graphic Design",4.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[8.7,16.6]","Serbian","English","arts-and-humanities","history","NjakpyWaEeWs4gorU6Q1Yw"]
["Computer Graphics","Graphic Design","Basic Elements of Design: Design Principles and Software Overview","University of Colorado Boulder","Advanced",5.1,4.63,"https://www.coursera.org/learn/basic-elements-design","Designing for an organization, while requiring technical skill, is not just about knowing how to use a pagination program such as InDesign or manipulate photos using Photoshop. A designer is a visual storyteller, a person who pairs words with images and typography to best convey information to an audience. Good design evokes emotion and presents the news of the day with clarity and the proper tone. A business card, brochure, or website that has good design provides content that is more inviting, more easily comprehensible and is faster to process. Design isn’t about “making it look pretty,” it’s also about content, layout and audience analysis.","graphic design; web design; adobe photoshop; art; logo; illustration; Digital Design; adobe illustrator; graphics; adobe indesign","Graphic Design Elements for Non-Designers",1.0,"https://www.coursera.org/specializations/graphic-design-elements-non-designers","In this hands-on specialization, you will explore basic graphic design elements, color theory, images, publication design and techniques for creating effective layouts. You will also learn about typography, the creative process, the importance of brainstorming, and how to discuss and critique design in a professional setting. Page layout software and online sites will be used to incorporate and manipulate text, color, photographs and images.\\n\\nIf you are curious about the design process, work on a team with designers and need to speak some of their language, or want to empower the creatives on your team to be even better, this specialization is made for you.","[2.9,6.4]","[NULL]","English","arts-and-humanities","history","59LP7CNMEemu6Qp1FfHBJA"]
["Computer Graphics","Graphic Design","Textual Elements of Design: Fonts, Typography, and Spacing","University of Colorado Boulder","Beginner",6.4,4.63,"https://www.coursera.org/learn/fonts-typography-spacing","Graphic design is telling a story by using both images and text. With that definition in mind, this course will focus on the textual elements of graphic design. From the history of typography, the difference between type, fonts and text as well as exposure to typography spacing, students will learn the value of selecting the best kind of type and combinations of fonts to get their message across in a visually pleasing manner.","Color Theory; arts and humanities; typography; graphic character; art; ascii art; graphic design; illustration; adobe illustrator; adobe photoshop","Graphic Design Elements for Non-Designers",3.0,"https://www.coursera.org/specializations/graphic-design-elements-non-designers","In this hands-on specialization, you will explore basic graphic design elements, color theory, images, publication design and techniques for creating effective layouts. You will also learn about typography, the creative process, the importance of brainstorming, and how to discuss and critique design in a professional setting. Page layout software and online sites will be used to incorporate and manipulate text, color, photographs and images.\\n\\nIf you are curious about the design process, work on a team with designers and need to speak some of their language, or want to empower the creatives on your team to be even better, this specialization is made for you.","[3.7,8.1]","[NULL]","English","arts-and-humanities","history","AuVaViNNEemXywr9no0_Fg"]
["Computer Graphics","Graphic Design","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.7,4.61,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","technical analysis; adobe illustrator; plan; infographics; illustration; graphic design; communication design; graphics; autodesk 3ds max; coreldraw","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,18.8]","[NULL]","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Computer Graphics","Graphic Design","Introduction to Imagemaking","California Institute of the Arts","Intermediate",11.4,4.42,"https://www.coursera.org/learn/image-making","This course for serious makers, and for students new to imagemaking. Imagemaking is a fluid and exciting area of graphic design that comes out of practice and process: experimenting fearlessly, showing and sharing ideas, and giving and receiving knowledgeable and constructive input.\\n\\nFor the sake of this online platform, we have applied some structure to our investigations, but for the most part imagemaking is loose and unstructured. If we must adopt a rule in this course it is only this: you will not become a graphic designer by watching videos alone. Or, don't just make stuff just in your head. So here, the focus here is on making, and you are expected to devote serious time and intellectual energy to that activity in this course. Specifically, you will:\\n\\n - experiment with a range of materials and techniques to make images for graphic design\\n - expand your visual vocabulary both in terms of making and talking about work, in order to discuss your work and work of others\\n - learn how to make, manipulate and arrange images to create compositions, eventually culminating in the design and production of an-image-based book.\\n\\nThe first half of the course is an opportunity to experiment and explore imagemaking in order to expand your visual vocabulary. You will create pieces that are expressive, meditative, or 'design-y' to instigate, evoke, experiment, record, explain, or try out a media.\\n\\nIn the second two weeks, we’ll invite the images to deliberately and intentionally carry meaning and communication through relational moves like juxtaposition, composition, and context. We’ll look at developing and expanding the range of approaches for putting things together by composing page spreads with your images. Since nothing exists without context, we look at how to intentionally drive the image’s connotations, meanings, and associations generated through elements of composition and “visual contrasts.” Ultimately, we will take the images that you create and make a book from them.\\n\\nThe results of your assignments (and experiments) may generate something completely unknowable now or in the future—and that's the goal.","illustration; Creativity; Booking; integration testing; art; graphic design; adobe photoshop; graphics; adobe indesign; adobe illustrator","Graphic Design",3.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[7.4,13.8]","[NULL]","English","arts-and-humanities","music-and-art","iN8yoSWdEeWCGRL6mLoB5w"]
["Computer Graphics","Graphics Software","Concept Art for Video Games","Michigan State University","Beginner",12.6,4.88,"https://www.coursera.org/learn/concept-art-video-games","In this course we will talk about Concept Art. As a final project we will create a fully finished environment concept, ready for presentation. Throughout the 4 week modules will dive deeply into composition and digital painting techniques to bring your art skills to the next level! So, let's get started!","zbrush; adobe photoshop; nora (cat); architectural rendering; convex geometry; virtual art; one sheet; print (magazine); normal lens; game design","Art for Games",4.0,"https://www.coursera.org/specializations/art-for-games","In this beginner focused specialization we will show you the essentials of 2d and 3d game art production as well as concept art for games and current gen game art workflow. While each of the four courses will build your knowledge of the practice of game art, each module is a self contained unit designed to teach a specific area.\\n\\nBy the end of the Specialization, you will have a thorough knowledge of the creation of high-quality game art assets. Through these courses, you will be using Maya, Unity, Photoshop, Sketchup, ZBrush, Marmoset Toolbag, and Substance Painter.","[6.2,16.1]","[NULL]","English","arts-and-humanities","music-and-art","byYNTFkVEei-TBLgOSj5Og"]
["Computer Graphics","Graphics Software","More C# Programming and Unity","University of Colorado System","Advanced",17.0,4.8,"https://www.coursera.org/learn/more-programming-unity","This course is the second course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll continue building your foundational C# and Unity knowledge by exploring more C# and Unity topics and finishing the Unity game you started at the end of the previous course.\\n\\nThe material in this and the previous course is essentially our first programming course for Game Design and Development majors at UCCS.\\n\\nModule 1: Learn how we can store lots of data in arrays and lists and use iteration (looping) to repeat actions in your code\\nModule 2: Learn about abstraction and how we can use it to design and implement console application classes\\nModule 3: Learn how we can use abstraction to design and implement Unity classes\\nModule 4: Add text output (like score!) and sound effects to your Unity games\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","computer programming; arrays; game programming; iteration; for loop; c programming; video game development; c sharp (programming language); while loop; boolean algebra","C# Programming for Unity Game Development",2.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[11,21.1]","[NULL]","English","computer-science","software-development","ml5Ynj5BEee4ZQrc8oiQ6A"]
["Computer Graphics","Graphics Software","Introduction to Game Development","Michigan State University","Beginner",37.2,4.78,"https://www.coursera.org/learn/game-development","If you love games and want to learn how to make them, then this course will start you down that path. Making games is a creative and technical art form. In this course you will familiarize yourself with the tools and practices of game development. You will get started developing your own videogames using the industry standard game development tools, including the Unity3D game engine and C#. At the end of the course you will have completed three hands-on projects and will be able to leverage an array of game development techniques to create your own basic games. This course is for individuals interested in becoming a game designer, game artist, or game programmer.","c sharp (programming language); unity (user interface); video game development; language; interfaces; game design; computer programming; user interface; programming language; java annotation","Game Design and Development",1.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[19.8,69]","[NULL]","English","computer-science","software-development","2H8ExCTIEeWeDBJG1XrG0w"]
["Computer Graphics","Graphics Software","Game Development for Modern Platforms","Michigan State University","Beginner",18.6,4.78,"https://www.coursera.org/learn/gamedev-platforms","The device or \"platform\" that a game is developed for and played on has a massive impact on the game development process. In this hands-on course you will explore how to develop a game for a variety of modern platforms, including Web, Windows, Mac OS X, iOS, and Android. While building a complete game, you will learn intermediate and advanced game development techniques in the Unity game engine.  By the end of the course, you will understand how to develop, refine, package, and prepare your game for distribution on a variety of game platforms. Particular attention will be given to developing a 2D platformer game that supports multiple forms of input (keyboard/mouse, controller, and touch), works across multiple forms of output (screen size, screen resolution, sound), and performs well on a variety of computing devices.","mathematical optimization; video game development; game design; gameplay; user interface; integration testing; java annotation; video game design; unity (user interface); unreal engine","Game Design and Development",4.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[13,22.3]","[NULL]","English","computer-science","software-development","Z7-ViyT-EeW5pgpJEN0S6w"]
["Computer Graphics","Graphics Software","Fundamentals of Graphic Design","California Institute of the Arts","Beginner",13.5,4.72,"https://www.coursera.org/learn/fundamentals-of-graphic-design","Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.\\n\\nThrough visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.\\n\\nAt the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design.\\n\\nTo succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.","art; graphics; integration testing; learning; adobe photoshop; Color Theory; typography; design theory; Creativity; graphic design","Graphic Design",1.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[8.6,16.1]","Spanish","English","arts-and-humanities","music-and-art","I82JCSWXEeWtRg6boA3D-Q"]
["Computer Graphics","Graphics Software","C# Programming for Unity Game Development Capstone Project","University of Colorado System","Intermediate",9.0,4.71,"https://www.coursera.org/learn/programming-unity-game-development-project","This is the final course in the C# Programming for Unity Game Development specialization. In this course, you'll implement your own small game using C# and Unity from your initial idea to full implementation. You may already have an idea in mind, but if not, I'll provide a number of suggested games for an 8-week course that assumes you've learned the material in the previous 4 courses in the specialization.\\n\\nYour game won't be commercial-quality; that would be unreasonable after learning about C# programming and Unity game development for a few months. It takes my UCCS students 4 years of courses and experience to get to the point where they can build a commercial-quality game in the senior capstone project. On the other hand, building your own game is the culmination of the material you've learned in the previous courses in the specialization.\\n\\nThat's a great thing to do!\\n\\nModule 1: Develop a planning document for your game\\nModule 2: Develop a prototype of your game\\nModule 3: Implement the menu and difficulty systems in your game\\nModule 4: Implement Iteration 1 of your game\\nModule 5: Implement Iteration 2 of your game\\nModule 6: Finish implementing your game for beta testing\\nModule 7: Conduct beta testing and modify your game as appropriate\\nModule 8: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","c programming; openfabrics alliance; functional completeness; probit model; c sharp (programming language); video game development; web development tools; PC Installation; game programming; unreal engine","C# Programming for Unity Game Development",5.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[3.7,11.9]","[NULL]","English","computer-science","software-development","LGpZGD5CEee0EA5mNhyJZg"]
["Computer Graphics","Graphics Software","Current Gen 3D Game Prop Production","Michigan State University","Intermediate",23.4,4.67,"https://www.coursera.org/learn/3d-game-prop-production","In this course you will learn to create a photo-real game prop using modern game art production techniques. You will gather reference, generate a base model, create a high polygon model, bake details onto a low poly model, and then texture and present a final portfolio piece. This course is aimed at students who have some knowledge in 3d and game art and would like to learn more advanced techniques employed in the creation of modern game assets. We will be using Maya, Zbrush, Marmoset, and Substance Painter extensively throughout the course. When you are finished you will have your own model based of of a real-world prop suitable for use in modern game engines.","plotter; Model Building; t-model; active shape model; low poly; first pass yield; box modeling; Claw Hammer; floor model; block sort","Art for Games",3.0,"https://www.coursera.org/specializations/art-for-games","In this beginner focused specialization we will show you the essentials of 2d and 3d game art production as well as concept art for games and current gen game art workflow. While each of the four courses will build your knowledge of the practice of game art, each module is a self contained unit designed to teach a specific area.\\n\\nBy the end of the Specialization, you will have a thorough knowledge of the creation of high-quality game art assets. Through these courses, you will be using Maya, Unity, Photoshop, Sketchup, ZBrush, Marmoset Toolbag, and Substance Painter.","[11.4,32.2]","[NULL]","English","arts-and-humanities","music-and-art","2v9qtlkUEeiRYBKSsYzhZg"]
["Computer Graphics","Graphics Software","Introduction to Game Design","California Institute of the Arts","Intermediate",10.6,4.67,"https://www.coursera.org/learn/game-design","Welcome! This course is an introduction to the primary concepts of gaming, and an exploration of how these basic concepts affect the way gamers interact with our games. In this course you will understand what defines a “game” and the mechanics and rules behind different types of games. Through four linked assignments you'll learn ways to create and describe a game concept, and specifically what makes a compelling game. This course focuses on the conceptual underpinnings of games, and all assignments can be completed with a pencil and paper – no previous programming knowledge is required.","game testing; video game development; attention; balance (game design); game design; applied digital data systems; storyboarding; gameplay; video game design; 4dos","Game Design: Art and Concepts",1.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[7.2,12.7]","Portuguese; Spanish; Russian; Ukrainian; German; Chinese","English","arts-and-humanities","music-and-art","6DwzaCw7EeWGvAojQA48rw"]
["Computer Graphics","Graphics Software","Game Design and Development Capstone","Michigan State University","Intermediate",11.8,4.65,"https://www.coursera.org/learn/gamedev-capstone","In the game design and development capstone, you will create an original game from initial concept through implementation and then launch it to the world! Along the way, you will have the opportunity to put your game ideas in front of your peers and for the best-of-the-best you will have the chance to get feedback from game industry professionals. The capstone experience gives you the opportunity to push your skills further and demonstrate your newfound skills as a game developer. The capstone also contains guest talks from game industry professionals at Riot Games, Deep Silver Volition, Iron Galaxy, Radiant Entertainment, Goodgame Studios, Stardock, GREE, Heart Shaped Games, Kongregate, and more.","game integrated development environment; gameplay; game design; video game development; user experience design; playtest; software testing; experience design; sed; look and feel","Game Design and Development",5.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[7.2,14.8]","[NULL]","English","computer-science","software-development","8G7jDCT-EeWs4gorU6Q1Yw"]
["Computer Graphics","Graphics Software","Introduction to C# Programming and Unity","University of Colorado System","Beginner",23.9,4.64,"https://www.coursera.org/learn/introduction-programming-unity","This course is all about starting to learn how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course doesn't assume you have any previous programming experience. Don't worry if you've never written code before; we'll start at the very beginning and work our way up to building small games by the end of the course. Throughout the course you'll learn core programming concepts that apply to lots of programming languages, including C#, and you'll also learn how to apply those concepts when you develop games.\\n\\nComputer programming is really fun in general, and programming games is even better!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since this course is essentially the first half of a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Write your first C# console application and Unity script and learn how we store data in our programs\\nModule 2: Learn how we use classes and objects to implement our code\\nModule 3: Learn the basics of Unity 2D games and discover how we make decisions in our code\\nModule 4: Get and use player input in your Unity games\\nModule 5: Complete final peer review and take \"Final Exam\"\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","user interface; programming language; computer programming; omega language; java annotation; c programming; unity (user interface); c sharp (programming language); language; interfaces","C# Programming for Unity Game Development",1.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[16.1,30.2]","German; Chinese","English","computer-science","software-development","GZIxPCovEeeW5RJUyz1uFA"]
["Computer Graphics","Graphics Software","Character Design for Video Games","California Institute of the Arts","Intermediate",11.1,4.64,"https://www.coursera.org/learn/game-character-design","In this course you will explore concepts and approaches involved in creating successful character designs that can be applied to video games. Following a first week delving into some foundational concepts for successful character design, each of the remaining three weeks are structured as a master class where you will observe three professional character designers at work in the studio: Andy Ristaino (Adventure Time), Jacky Ke Jiang (Journey), and Robertryan Cory (SpongeBob SquarePants). Each designer will take on two different design challenges on the fly and address the various issues in designing characters for games, such as movement, expression, and technical limitations. At the end of each week you will have an opportunity to try out some of the concepts from that week's lesson on characters of your own design. \\n\\nThis is a fun and engaging class especially useful for students interested in animation in film and TV as well as games, and is suitable for students of any drawing ability.","Creativity; gamification; com file; adobe photoshop; awareness; analysis; video game development; confidence; game design; approximation error","Game Design: Art and Concepts",4.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[7.8,13.3]","[NULL]","English","arts-and-humanities","music-and-art","tCC8OzJzEeWLGgqjU3pHlw"]
["Computer Graphics","Graphics Software","Story and Narrative Development for Video Games","California Institute of the Arts","Intermediate",13.6,4.62,"https://www.coursera.org/learn/video-game-story","In this course, you will examine how storytelling acts as a vital mechanism for driving video gameplay forward. Looking at several historical and contemporary games, you will be asked to evaluate and interpret different story styles with the goal of identifying themes and procedures for your own game ideas. We'll examine traditional narrative story processes, such as three-act structure, and how they fit into game story flows and the strategic elements of gameplay.  Ultimately, you will learn how to define character, setting, and structure to create a compelling game concept.","interactivity; storytelling; video game design; 4dos; video game development; evaluation; interactive storytelling; game design; wide character; analysis","Game Design: Art and Concepts",2.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[9.3,16.5]","Spanish; Chinese","English","arts-and-humanities","music-and-art","K28H5jJ0EeWgIQ7IEhB31Q"]
["Computer Graphics","Graphics Software","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.7,4.61,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","technical analysis; adobe illustrator; plan; infographics; illustration; graphic design; communication design; graphics; autodesk 3ds max; coreldraw","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,18.8]","[NULL]","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Computer Graphics","Graphics Software","Intermediate Object-Oriented Programming for Unity Games","University of Colorado System","Advanced",19.1,4.59,"https://www.coursera.org/learn/intermediate-object-oriented-programming-unity-games","This course is the third course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using file input and output, inheritance and polymorphism, and event handling.\\n\\nThis course gives you even more tools to help you build great games with C# and Unity!\\n\\nModule 1: Start using files to implement your Unity games\\nModule 2: Learn how inheritance and polymorphism help us write less code for our games\\nModule 3: Implement event handling to make better object-oriented designs and add menus to your Unity games\\nModule 4: Explore the complete implementation of a small Unity game\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","video game development; standard streams; stream (computing); object-oriented programming; game programming; c sharp (programming language); xml; game design; streams; menu button","C# Programming for Unity Game Development",3.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[11.4,25.7]","[NULL]","English","computer-science","software-development","113jFz5BEeeyvhI1Uz685A"]
["Computer Graphics","Graphics Software","Game Design Document: Define the Art & Concepts","California Institute of the Arts","Advanced",11.0,4.57,"https://www.coursera.org/learn/game-design-document","The Capstone project is a place for you to develop your game idea into a fully-fleshed proposal. A game design document is your game bible, the go-to document that defines the genre of your game, its look and feel, and the evolution of gameplay. This four-part capstone project guides you to distill and improve the foundational aspects of your game so that you may express your ideas in a clear and productive way.\\n\\nNote: Only learners who have earned a certificate in the four previous courses in the Specialization are eligible to take the Capstone.","game design document; playtest; game integrated development environment; continuations; upload; software design description; game design; art; video game development; last mile","Game Design: Art and Concepts",5.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[6,13.6]","[NULL]","English","arts-and-humanities","music-and-art","O941HzsyEeWjyxInT4zYJQ"]
["Computer Graphics","Graphics Software","Data Structures and Design Patterns for Game Developers","University of Colorado System","Advanced",15.8,4.56,"https://www.coursera.org/learn/data-structures-design-patterns","This course is the fourth course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns.\\n\\nData structures and design patterns are both general programming and software architecture topics that span all software, not just games. Although we'll discuss these ideas in the game domain, they also apply if you're writing a web app in ASP.NET, building a tool using WinForms, or any other software you decide to build. \\n\\nModule 1: Explore a Dynamic Array data structure and learn the basics of algorithm analysis\\nModule 2: Learn about and use the common Linked List and Graph data structures\\nModule 3: Learn about and use several additional data structures: Stacks, Queues, and Trees\\nModule 4: Learn why design patterns are so useful and discover a number of design patterns useful in game development\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","linked list; stack (abstract data type); c sharp (programming language); game programming; dynamic array; algorithms; object pool pattern; design pattern; asp.net; video game development","C# Programming for Unity Game Development",4.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[5.8,23.1]","[NULL]","English","computer-science","software-development","AXxayz5CEeeQDg6xSmfOXg"]
["Computer Graphics","Graphics Software","Problem Solving, Python Programming, and Video Games","University of Alberta","Beginner",163.3,4.51,"https://www.coursera.org/learn/problem-solving-programming-video-games","This course is an introduction to computer science and programming in Python.  Upon successful completion of this course, you will be able to:\\n\\n1.  Take a new computational problem and develop a plan to solve it through problem understanding and decomposition.\\n2.  Follow a design creation process that includes specifications, algorithms, and testing.\\n3.  Code, test, and debug a program in Python, based on your design.\\n\\nImportant computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout.  The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner.  However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.\\n\\nYou do not need any previous programming, Python, or video game experience.  However, some computer skills (e.g., mouse, keyboard, document editing), knowledge of algebra, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success.  Despite the use of video games for all the programming examples, PVG is not about computer games.  PVG will still provide valuable knowledge and skills for non-game computational problems.\\n\\nThe interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, algorithms, and functional test plans.  The course forums will be supported by the creators of the course, to help you succeed.\\n\\nAll videos, assessments, and ILOs are available free of charge.  There is an optional certificate available for a fee.","euler's totient function; test plan; software versioning; computer programming; subroutine; pygame; python programming; syntax; list of facebook features; algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[47.8,278.3]","[NULL]","English","computer-science","software-development","ZvjGtOESEeeF8w7J2dNlfg"]
["Computer Graphics","Graphics Software","Principles of Game Design","Michigan State University","Intermediate",26.0,4.37,"https://www.coursera.org/learn/gamedesign","You have a great idea for a game. Turning that idea into a reality isn't just about knowing the tools. In this course you will practice moving from game concept through design documentation, prototyping and testing. Numerous elements go into the overall process of game design. These range from topics such as idea generation, story, character, and game world development, game mechanics and level design, and user experience design. You will explore the process for designing meaningful experiences for your players. At the end of the course learners will have produced a game's high concept document, one page blueprint, a physical prototype, pitch and supporting design documentation to move from an idea in your head to a fleshed out design, ready for implementation.","playtest; software design description; game design; game mechanics; video game development; gameplay; game design document; documents; game integrated development environment; level design","Game Design and Development",2.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[12.8,41]","[NULL]","English","computer-science","design-and-product","rKbbMST9EeWtRg6boA3D-Q"]
["Computer Graphics","Graphics Software","World Design for Video Games","California Institute of the Arts","Intermediate",10.6,4.29,"https://www.coursera.org/learn/video-game-world","Start creating your world. A game world is not just a backdrop for your game—be it minimal or detailed, contained or part of a much bigger universe, it provides the context for your player. Ultimately, a game world should feel alive and wholly unique to any player who will experience it. \\n\\nIn this course, we will explore game worlds in existing games and study the art and influences that inform their themes and styles. We will also investigate key components of environment and level design as well as strategies designers use to define gameplay or advance it. We’ll also look at navigation and the elements that make your world as real (or unreal) as you want it to be. A weekly challenge will prompt you to explore styles and inspirations for possible game worlds, and you’ll learn effective ways to communicate your ideas from concepts to presentation-worthy proofs of concept.","career; 3d modeling; game design; art; character building; applied digital data systems; entrepreneurship; creative writing; video game development; data system","Game Design: Art and Concepts",3.0,"https://www.coursera.org/specializations/game-design","Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.","[7,13]","[NULL]","English","arts-and-humanities","music-and-art","9p1NWzJzEeWFJhJQP1CW-Q"]
["Computer Graphics","Graphics Software","Business of Games and Entrepreneurship","Michigan State University","Advanced",20.7,4.28,"https://www.coursera.org/learn/gamedev-business","As well as a form of art and entertainment, games are about business. Whether you want to work at a game studio, start your own business or make games as a hobby, recognizing the dynamic landscape of the videogame industry is critical to finding your place. This course will introduce you to game production, project management, teamwork skills, and how to position your game ideas and yourself in the broader marketplace. By the end of the course, you will be able to develop an impactful portfolio of game work to get noticed and/or develop an effective business plan to bring your game to market.","employment; project; flow network; management; game design; entrepreneurship; public speaking; video game development; project management; money flow index","Game Design and Development",3.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[10.7,32.2]","[NULL]","English","business","business-strategy","urbm-CT-EeWCGRL6mLoB5w"]
["Computer Graphics","Virtual Reality","Code Yourself! An Introduction to Programming","The University of Edinburgh","Beginner",16.9,4.73,"https://www.coursera.org/learn/intro-programming","Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce you to the fundamental principles of computing and it will help you think like a software engineer.","software; omega language; scratch (programming language); language; software design; computer program; algorithms; software development; computer programming; programming language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.2,20.5]","Chinese; Arabic","English","computer-science","software-development","-qKIDPnAEeS1QCIACy-KcQ"]
["Computer Graphics","Virtual Reality","Introduction to Virtual Reality","University of London","Intermediate",16.9,4.67,"https://www.coursera.org/learn/introduction-virtual-reality","This course will introduce you to Virtual Reality (VR). The course will teach you everything from the basics of VR- the hardware and the history of VR- to different applications of VR, the psychology of Virtual Reality, and the challenges of the medium.\\n\\nThe course is designed for people who are new to VR as a medium. You may have experienced some virtual reality before, and may have some hardware- but this course is suitable to individuals who have never experienced VR and those who do not have much hardware- we will explain Mobile VR as well as devices such as the Oculus Rift and HTC Vive.\\n\\nIntroduction to Virtual Reality is the first course in the Virtual Reality Specialisation. A learner with no previous experience in Virtual Reality and/or game programming will be able to evaluate existing VR applications, and design, test, and implement their own VR experiences/games using Unity by the end of the specialisation.","virtual reality; blender (software); plausibility structure; 3d modeling; augmented reality; Autodesk; 360-degree video; computer animation; unreal engine; autodesk 3ds max","Virtual Reality",1.0,"https://www.coursera.org/specializations/virtual-reality","This specialisation from the University of London will introduce you to virtual reality.\\n\\nVirtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.","[11.1,24.4]","Arabic; Russian","English","computer-science","design-and-product","pXYrg_jbEeaRvRLVBNP8Xg"]
["Computer Graphics","Virtual Reality","VR and 360 Video Production","Google AR & VR","Intermediate",7.3,4.65,"https://www.coursera.org/learn/360-vr-video-production","Welcome to the Google AR & VR Virtual Reality and 360 video production course! Our mission is to give you the skills you need to get started with your first VR project.\\n\\nThis course will introduce you to Virtual Reality and 360 video production, guiding you through a step-by-step process to create VR content. To begin, we recommend taking a few minutes to explore the course site and review the material. \\n\\nBest of luck as you get started - we hope you enjoy the course, and can't wait to see what you'll create!","virtual reality; photography; augmented reality; 360-degree video; Video Editing; communication; film; Art History; Video Production; history","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.4,8.4]","[NULL]","English","arts-and-humanities","music-and-art","3s_AM6U7EeeFFAomdhT2pA"]
["Computer Graphics","Virtual Reality","3D Models for Virtual Reality","University of London","Advanced",19.7,4.62,"https://www.coursera.org/learn/3d-models-virtual-reality","This course will begin your journey to creating Virtual Reality experiences. A Virtual Reality experience is a new world that you step into and are entirely immersed in. Creating a VR experience means creating that world and all the objects in it. \\n\\nIn this course you will learn the basics of 3D graphics: how we create objects and how to lay them out to create an environment. You will learn techniques like materials and texturing that make your objects appear realistic. You will also learn about audio techniques to ensure that your experiences sound great as well as looking great. In all of these topics we will pay attention to the particular requirements of Virtual Reality, including pitfalls and performance issues: making sure your environment runs fast enough in VR. \\n\\nYou will learn all of this using the professional game and VR engine, Unity3D. Unity is one of the most used game engine and is a relatively easy, but fully featured, introduction to 3D development. \\n\\nThe course will culminate in a project in which you will create your own VR scene. VR development is something you can only learn by doing it yourself, so working on your project will be the best way to learn.","augmented reality; deployment environment; 3d computer graphics; electronics; 3d modeling; game engine; first draft of a report on the edvac; graphics; autodesk 3ds max; virtual reality","Virtual Reality",2.0,"https://www.coursera.org/specializations/virtual-reality","This specialisation from the University of London will introduce you to virtual reality.\\n\\nVirtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.","[13.3,23]","[NULL]","English","computer-science","design-and-product","v6fMKPjbEeaRvRLVBNP8Xg"]
["Computer Graphics","Virtual Reality","Communication Strategies for a Virtual Age","University of Toronto","Beginner",10.5,4.61,"https://www.coursera.org/learn/communication-strategies-virtual-age","Communication has changed! The traditional rules for speaking and presenting, meeting coordination, influencing people, negotiating and selling ideas no longer apply in a world of skype, messenger, video and teleconference.  This course will act as an overview on several concepts each of which could be a course of their own and our goal is to give you tools that you can practice and perfect on your own.\\n\\nBy the end of this course, you will be able to:\\n\\n•\\tApply communication principles and techniques for in-person and virtual teams\\n•       Use a science based approach to create impactful presentations\\n•\\tRefine your communication style to better persuade and influence others\\n•\\tRun more effective and impactful meetings\\n•       Incorporate strategies to have positive difficult conversations and make people feel valued and listened to\\n\\n*** This course will require you to record yourself speaking.  Therefore you must have a phone/computer with a functional camera and microphone.***\\n\\nWHO SHOULD TAKE THIS COURSE?\\nAnyone looking for professional and/or leadership development.  This class mainly uses examples from the professional, business environment.  If you are looking to advance at your current organization or to enhancing your personal value for potential employers this course is for you.\\n\\nWHAT MAKES THIS COURSE EFFECTIVE?\\nMany educational experiences describe and explain, but in this course we will apply and demonstrate.  We teach practical and proven concepts, show you how to apply them and give you opportunities to practice them in a safe and supportive environment. This course is full of opportunities to put the ideas presented into practice and test their effectiveness for yourself.\\n\\nWHY SHOULD YOU TAKE THIS COURSE?\\nWe will challenge the preconceived ideas about what it means to be part of a virtual team, and support you to be a dynamic team contributor no matter where you work. In this course you can expect to be both energized and uncomfortable – like in most experiences that result in positive growth and change!\\n\\nThis course is offered through the University of Toronto School of Continuing Studies (https://learn.utoronto.ca/).","virtual team; motivation; facilitation; speech; public speaking; meeting; ageing; sales; communication; presentation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.7,13]","Japanese","English","business","leadership-and-management","piI3I3igEeeogw6Liqr3Tg"]
["Computer Graphics","Virtual Reality","Making Your First Virtual Reality Game","University of London","Advanced",22.4,4.61,"https://www.coursera.org/learn/making-virtual-reality-game","Virtual Reality is one of the most exciting experiences that technology can give us. The immersion and presence you can have in VR is quite unlike any other medium. Like many others, you are excited about the possibilities of this new medium and want to get started developing your own VR experiences. This course will take you through all of the steps you need to create a VR game or other project. \\n\\nThis is the final course in our Specialisation: Virtual Reality. The previous courses teach you the skills you need to make a VR game. This course brings them all together to create a project of your own. \\n\\nWe will guide you through all the steps of a VR project: coming up with an idea, storyboarding, prototyping, testing and implementation. By the end of this course you will have a complete VR project that demonstrates your skills and could be the first step in creating a professional game. \\n\\nWe hope this course can be your entry into professional VR development. To help you get started, some good advice always helps. That is why we have interviewed VR experts from all over the world, ranging from technology pioneers with over 30 years experience in VR to the latest cutting edge VR creators. We have asked all of them to give you their advice and we hope it inspires you to become part of the future of VR.","interaction design; virtual reality games; peering; storyboarding; graphics; virtual reality; game design; usability testing; game integrated development environment; htc vive","Virtual Reality",5.0,"https://www.coursera.org/specializations/virtual-reality","This specialisation from the University of London will introduce you to virtual reality.\\n\\nVirtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.","[13.1,28]","[NULL]","English","computer-science","design-and-product","hywnJPjcEeaRLwq7mFlYug"]
["Computer Graphics","Virtual Reality","Virtual Teacher Final Project","University of California, Irvine","Beginner",3.9,4.57,"https://www.coursera.org/learn/virtual-teacher-capstone","The Final Project will be a hands-on, comprehensive project that practitioners of virtual education can implement in their profession. For this final project, learners will draft a design plan for an online learning module utilizing materials learned from the virtual teacher series. Learners will choose the subject matter, method of delivery, tools, instructional strategies, and assessments, with the goal of creating a module of online or blended instruction that meets the needs of their students. Learners do not have to create, develop or teach the online learning module they design.\\n\\nUpon completing this course, you will be able to:\\n1.       Design a fully online or blended instructional module\\n2.       Apply theories and/or strategies of effective online instruction","learning; integration testing; accounting; online machine learning; education; online learning; fact; ordered pair; instructional design; communication","Virtual Teacher",5.0,"https://www.coursera.org/specializations/virtual-teacher","This series of courses provides best practices for online instruction, student engagement and virtual community building; effective uses of asynchronous and synchronous technologies, social media and other emerging technologies; and data analysis techniques and student performance measurements to individualize instruction in an online or blended environment. The courses in this Specialization may be taken in any order. Each course can be taken independently. The Specialization concludes with a final project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses.","[1.8,4.8]","[NULL]","English","social-sciences","education","t6IDhdTcEeW_sQqlOUlMew"]
["Computer Graphics","Virtual Reality","Emerging Trends & Technologies in the Virtual K-12 Classroom","University of California, Irvine","Intermediate",12.3,4.5,"https://www.coursera.org/learn/k-12-education","Emerging technologies are quickly gaining momentum in the field of virtual K-12 instruction. In this course, we will explore how the latest trends in the use of technology affect student learning and engagement. What innovative learning spaces and tools are available to instructors?  How can instructors best utilize free and open resources to more deeply engage students in their learning? What impact can the use of emerging technologies have on student retention and performance?  We will discuss the possibilities and challenges of using technology in fully online environments, although many of the ideas can be applied to blended and traditional environments as well. Learners will compare and contrast tools for use in K-12 virtual instruction, as well as examine best practices for implementing and managing these tools.\\n\\nUpon completing this course, you will be able to:\\n1.       Understand the role of technology in the distribution of content, the facilitation of collaborative activities, and the assessment of students, courses, and organizations.\\n2.       Identify and evaluate existing and emerging technologies for their value in virtual course instruction and curriculum development.\\n3.       Design and assess a learning activity that utilizes social learning tools.\\n4.       Design and assess a learning activity or curricular program that uses game-based strategies and/or badges to deepen student engagement in virtual courses.\\n5.       Research, critically evaluate, and employ open content in virtual education.\\n6.       Debate the role of MOOCs in virtual K-12 education.","best practice; educational practices; education; evaluation; c dynamic memory allocation; social technology; resource; teaching; choice; Creativity","Virtual Teacher",2.0,"https://www.coursera.org/specializations/virtual-teacher","This series of courses provides best practices for online instruction, student engagement and virtual community building; effective uses of asynchronous and synchronous technologies, social media and other emerging technologies; and data analysis techniques and student performance measurements to individualize instruction in an online or blended environment. The courses in this Specialization may be taken in any order. Each course can be taken independently. The Specialization concludes with a final project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses.","[7.3,15.4]","[NULL]","English","social-sciences","education","8K9bbo2MEeWeogpSJNat4w"]
["Computer Graphics","Virtual Reality","Introduction to Augmented Reality and ARCore","Google AR & VR","Beginner",4.9,4.45,"https://www.coursera.org/learn/ar","This class will teach you the fundamentals of augmented reality (AR), and how to build an AR experience using ARCore. Through the four week course, you'll learn:\\n\\n- How to identify different types of AR experiences \\n- Tools and platforms used in the AR landscape \\n- What makes AR feel \"real\" \\n- Popular use cases for AR\\n- How to create an AR use flow \\n- How AR experiences work\\n- Tools like Google Poly and Unity to build AR experiences \\n- Next steps to start building an AR experience using ARCore and other tools  \\n\\nThis course will break down complex AR concepts to make them easy to understand, while also sharing expert tips and knowledge from Daydream's ARCore team. The course is great for beginners who are just getting started with AR or ARCore.","building information modeling; experience; augmented reality; mobile application development; computer-aided design; integration testing; virtual reality; 3d modeling; google; user interface","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.8,6.4]","[NULL]","English","computer-science","mobile-and-web-development","nthqNzRuEeisQBLVcB1obg"]
["Computer Graphics","Virtual Reality","3D Interaction Design in Virtual Reality","University of London","Advanced",14.8,4.45,"https://www.coursera.org/learn/3d-interaction-design-virtual-reality","This course will teach you about one of the most important aspects of VR, how you interact with a VR world. Virtual Reality is completely different from an on screen app or game. You are completely immersed in a VR world, so it doesn't make sense to interact only through buttons or menus. You will get the most out of VR if you can interact with the world just as you would with the real world: with your natural body movements. You will learn about the basic concepts and technologies of VR Interaction. You will then get hands on, learning about how to move around in VR and how to interact with the objects in your world. The course will finish with some advice from experts on VR interaction design and you will do a project where you will get real experience of developing VR Interaction.","interaction design; user interface; finite-state machine; redirected walking; graphical user interface; computer animation; virtual reality; hyperinteger; 3d interaction; opengl","Virtual Reality",3.0,"https://www.coursera.org/specializations/virtual-reality","This specialisation from the University of London will introduce you to virtual reality.\\n\\nVirtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.","[10.4,21.7]","[NULL]","English","computer-science","design-and-product","VxWqrvjcEeaRvRLVBNP8Xg"]
["Computer Graphics","Virtual Reality","AR (Augmented Reality) & Video Streaming Services Emerging Technologies","Yonsei University","Beginner",15.3,4.44,"https://www.coursera.org/learn/ar-technologies-video-streaming","Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia!","emerging technologies; multiview video coding; internet of things; audio codecs; virtual reality; summed area table; augmented reality; architecture; blob detection; cdnetworks","Emerging Technologies: From Smartphones to IoT to Big Data",4.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.5,21]","Spanish","English","information-technology","cloud-computing","ULheARkJEeiMbgquyRDyrA"]
["Computer Graphics","Virtual Reality","Getting started with Augmented Reality","Institut Mines-Télécom","Intermediate",19.6,4.29,"https://www.coursera.org/learn/augmented-reality","This course will teach you the basics of developing mobile applications using Mixed and Augmented Reality (MAR) technologies.\\n \\nThrough hands-on projects, you’ll learn practical techniques to rapidly and easily prototype three different applications for Android smartphones and tablets – even with no previous coding experience.\\n\\nIf you’re a creative entrepreneur, this is your ideal introduction to today’s trends in the products and technologies of the emerging augmented reality market.\\n\\nIf you’re a journalist, media/content producer or teacher, you’ll discover how to augment print-based media with sounds, images and videos, and see how to create an augmented city map and geo-located augmented reality game for your audience.\\n\\nIf you’re a web designer or app developer, you’ll gain a range of technological building blocks that you can integrate into your service portfolio.\\n\\nWhatever your background, you’ll learn how to design cutting-edge visual experiences that will enhance your job prospects.\\n\\nWhat you’ll learn\\n\\n•\\tAll about the main MAR products and technologies on the market today\\n•\\tHow to build three different augmented reality applications using an augmented reality browser and authoring tools\\n•\\tHow to include image recognition and object tracking \\n•\\tHow to use geolocation functionality for outdoor augmented reality\\n•\\tDetails of the ISO-ARAF standard, an innovative language for representing augmented reality content\\n\\nPrerequisites\\n\\n•\\tYou don’t need any prior technical knowledge to take this course. \\n\\n•\\tIf you’re familiar with markup languages (HTML, XML, etc) and content management systems, you may be more at ease  with the key concepts and techniques.\\n\\nThis MOOC is supported by the Patrick and Lina Drahi Foundation.\\n\\nFollow us!\\nTwitter : https://twitter.com/MOOCMAR\\nFacebook : https://www.facebook.com/MOOCMAR/","Booking; critical thinking; image texture; architecture; .bit; vrml; editing; artificial intelligence applications; computer program; augmented reality","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,26.1]","[NULL]","English","computer-science","mobile-and-web-development","xUxjEeztEeW4_wr--Yv6Aw"]
["Design and Product","Best Courses","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","interaction design; heuristic; user experience; usability testing; user experience design; heuristic evaluation; user research; experience; evaluation; human computer interaction","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.5,22.4]","[NULL]","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Design and Product","Best Courses","Understanding User Needs","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/understanding-user-needs","Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.\\n\\nLearners will be introduced to numerous techniques to gather data from and about users.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n     Find out what user needs assessments are, what qualitative research is, and how the two are related.\\n     Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology \\n     includes knowledge of semi-structured interviews, in-situ observation, and affinity walls.\\n     Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls.\\n     Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.","user research; computer science; algorithms; user experience design; cluster analysis; kentaro toyama; human computer interaction; interactive design; analysis; user experience","User Experience Research and Design",2.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[10,30.7]","[NULL]","English","computer-science","design-and-product","q_MmwLLUEeilNhJ2KR9bNg"]
["Design and Product","Best Courses","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.73,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","management; software requirements; requirements elicitation; requirements analysis; user story; requirements management; analysis; software development; software; use case","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.2]","Greek; Korean","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["Design and Product","Best Courses","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","project; software; software development; risk; finger protocol; Planning; agile management; management; plan; agile software development","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.8]","[NULL]","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Design and Product","Best Courses","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Best Courses","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Design and Product","Best Courses","Introduction to UI Design","University of Minnesota","Beginner",22.9,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","java annotation; evaluation; experience; interfaces; usability; user interface; user experience; principle; design theory; user interface design","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13,35.7]","[NULL]","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["Design and Product","Best Courses","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Design and Product","Best Courses","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Best Courses","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.1,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by changing the roles and practices of both firms and consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 250,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\nThe course was initially launched in 2015, and has been updated in April 2020. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product (business); market (economics); digital marketing; pricing strategies; integration testing; brand; product; marketing; marketing mix; pricing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.1,32.9]","[NULL]","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Design and Product","Product Design","Running Product Design Sprints","University of Virginia","Intermediate",14.2,4.54,"https://www.coursera.org/learn/uva-darden-running-design-sprints","Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. \\n \\nDesign sprints allow you to meet client's desire for quick, specific outcomes while making time to do things right. In this course, we'll show you how to plan and run situation-appropriate sprints to avoid waste and deliver value sooner. You'll explore how to do this across customer discovery, testing with Learn Startup, usability testing, and product architecture. \\n \\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","openfabrics alliance; agile management; java annotation; design sprint; software testing; scrum (software development); management; usability; integration testing; usability testing","Agile Development",2.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[9.2,16.5]","[NULL]","English","computer-science","design-and-product","qVetW596EeW6bw4ogk2HGQ"]
["Design and Product","Product Design","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Beginner",13.8,4.53,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design thinking; business model; modeling; strategic management; innovation management; chief executive officer; lean startup; Business Strategy; product management; business","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,21.9]","[NULL]","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["Design and Product","Product Design","Mobile Interaction Design: How to Design Usable Mobile Products and Services","National Research University Higher School of Economics","Advanced",40.5,4.5,"https://www.coursera.org/learn/mobile-interaction-design","Every mobile app gives you something. It could be not only something tangible like the pair of jeans you've ordered using the app but also a piece of work like waking you up in the morning. It could be a feeling, for instance, a feeling of enjoyment obtained from watching a video clip or a feeling of closeness flashed out after receiving an old photo from a loving person via some instant messenger. That \"something\" is actually the reason why you use the app, it is the heart of the product, and in this course we will not talk about it. Surprised? You shouldn’t be. There are always two sides of a coin. There should be a person who makes that \"something\" accessible. It is astonishingly important because the use of the product loses its meaning if users can’t get what they want.\\n\\nThe main objective of the course is to teach you to shape mobile products and services for people’s use. To do that, you’ll need to learn:\\n- Interaction design activities and their place in the whole product design process\\n- User research methods with a focus on the qualitative ones\\n- Usability inspection and empirical usability evaluation methods\\n- The process of design creation and best practices from interaction design, information architecture and visual design fields of study with a focus on the former\\nInterfaces of handheld devices and tablets are in the spotlight. However, the processes and techniques covered by the course can be successfully applied to design interactions with mobile web apps and wearables. It should be noted that this course does not cover topics such as design management and mobile development, and it will as well not teach you how to use wireframing and prototyping tools.\\n\\nWhat makes the course unique is a focus on the way of thinking during a design process, the representation of a designer’s decisions in the form of design questions that make the continuous reflection on the design process possible and leads to the growth of the number of proposed design alternatives. The second unique thing about this course is a focus on the explanation of the concept of usability problems, and the processes of discovering and analysing them.\\n\\nUpon completion of the course, you will be able to:\\n- Improve designs by eliminating different kinds of interaction problems\\n- Design huge chunks of user interfaces in the case of adding a new feature to a product\\n- Redesign a complete app by a given set of functions (e.g., extending an existing product to a new platform)\\n\\nThe practical part of the course will require you to discover and eliminate interaction problems of a chosen mobile app. You will go through running guerrilla usability study, analysing gathered data, and making evidence-based design changes, which will enable you to create your first case study.\\n\\nThis course was designed for those who are involved in creating digital interactive products (not necessarily for mobile) but do not have considerable experience in interaction design. If you are a UX professional in a junior position, a developer, manager or visual designer, this class is for you. This is not an introductory level course, so if you are new to the field, we recommend you take the “Introduction to User Experience Design” course from Georgia Institute of Technology before taking this one. Also, parts of this course such as the aforementioned process of design creation and approach to usability inspection can be useful for experienced designers.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","interaction design; user interface; user research; usability inspection; visit; cognitive walkthrough; design rationale; mobile interaction; usability; usability testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.4,59.9]","[NULL]","English","computer-science","design-and-product","Ycu2Tay_EeaVdxKCaraLyA"]
["Design and Product","Product Development","Boosting Creativity for Innovation","HEC Paris","Advanced",23.2,4.73,"https://www.coursera.org/learn/boosting-creativity-innovation","Successful contemporary business relies on the ability of all its employees to be creative. Creativity can be developed and refined, albeit with effort and practice. The first goal of this course is to provide a variety of experiences and activities with the aim of developing the creative abilities of each participant. A second goal is to understand the importance of creativity from a consumer perspective. Consumers are being offered more and more opportunities to customize their products and services, and are increasingly seeking to express their creativity through their purchasing choices. As entrepreneurs, we have the ability to shape the consumer environment in ways that help consumers enhance their own creative abilities, and develop a unique relationship with them as a result.\\n\\nThis course is aimed at anyone who wants to understand what we actually know (as opposed to what we think we know) about human creativity, and how to use this knowledge to think differently and productively about business challenges. As the focus is on creativity as a cognitive function, it does not matter what your background is, what industry you come from or want to enter.   \\n\\nAfter completing this course, past students report having acquired a set of strategies that enable them to tackle business problems with a fresh perspective.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program","innovation management; Creativity; design thinking; process; crisis management; experience; product management; innovation; happiness; thought","Managing Innovation and Design Thinking",1.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[13.6,25.7]","French","English","business","entrepreneurship","W5mm5_tfEeaVgA4fbAXgRA"]
["Design and Product","Product Development","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Product Development","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Design and Product","Product Development","The 3D Printing Revolution","University of Illinois at Urbana-Champaign","Intermediate",11.5,4.7,"https://www.coursera.org/learn/3d-printing-revolution","This course will demonstrate how 3D printers work, show what people make with them, and examine the 3D printing ecosystem. It will also explore the future of 3D printing and discuss how this technology will revolutionize our world. The course materials include informative video lectures, on-location interviews with a variety of 3D printing experts, and engaging hands-on exercises. Learners who complete this introductory course will have a solid understanding of 3D printing and its revolutionary potential, and will be able to print and customize 3D designs.\\n\\nThis course was listed in the top 50 MOOC's of all time by Class-Central (https://www.class-central.com/report/top-moocs/)","product; solidworks; product development; communication; 3D Printing; Mechanical Engineering; 2.5d; product (business); 3d scanner; manufacturing process management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,14.9]","Chinese","English","business","entrepreneurship","zo2jLrZHEeWVcRIZgPr_Xw"]
["Design and Product","Product Development","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.68,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","business model; luxury goods; marketing; communication; management; Retail Management; modeling; product (business); brand management; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,20.1]","Persian","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Design and Product","Product Development","Innovation Management","Erasmus University Rotterdam","Beginner",17.2,4.65,"https://www.coursera.org/learn/innovation-management","What is innovation management? How do firms bring in new business models and get new products and services to the market? Go on a nine-week journey through innovation management concepts, theories of idea generation, selection, strategy formulation and implementation in this MOOC in Innovation Management. In it, you will also learn the tools for implementing innovation projects yourself. \\n\\nGuided by world-class academics, you will develop an innovative mindset and expertise in how firms successfully create new ideas for marketing new products. The syllabus also includes sessions about innovation strategy, idea management and social networks.\\n\\nDuring this course, you will learn how to:\\n•\\tuse the main innovation management terminology and concepts\\n•\\texplain the adoption life cycle and innovation adoption at the individual level\\n•\\tdefine creativity and explain how creativity can be stimulated\\n•\\trecognise and describe three types of idea management systems\\n•\\texplain what an innovation strategy is and why it is important\\n•\\tdescribe what a product portfolio is \\n•\\texplain how innovation projects should be selected and managed\\n•\\texplain the importance of teams, team structures and networks for innovation.\\n\\nRotterdam School of Management, Erasmus University (RSM) is one of Europe’s leading business schools, and ranked among the top three for research. RSM’s primary focus is on developing business leaders with international careers who carry their innovative mindset into a sustainable future. Go to www.rsm.nl for more information.\\n\\nThis nine-week MOOC in Innovation Management is taught in English. There is no fee to participate in the programme.","i-deas; project; product; social network; innovation management; product (business); disruptive innovation; innovation; Creativity; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,19.5]","Vietnamese","English","business","business-strategy","_3l2SpONEeW2aQ7olstw0Q"]
["Design and Product","Product Development","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Product Development","Design Thinking for Innovation","University of Virginia","Beginner",9.0,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","mind map; innovation management; Mapping; process; design thinking; learning; innovation; design management; strategic thinking; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.1,10.5]","Spanish; Vietnamese; Korean; Arabic","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Design and Product","Product Development","Marketing Mix Fundamentals","IE Business School","Intermediate",11.2,4.49,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","pricing; marketing mix; trademarks; communication; marketing communications; marketing; Trade Marketing; studentized residual; product (business); trading","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.2,14.5]","[NULL]","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["Design and Product","Product Development","New Product Development - develop your own new product","Technion - Israel Institute of Technology","Advanced",38.9,4.38,"https://www.coursera.org/learn/new-product-development","New product development is essential for the survival of many companies in the Hi-Tec sector, as well as other sectors.\\nThe percentage of sales of successful business organizations tied to the successful Introduction of new products and services is high. However, the failure rate of new products development projects is also high and therefore there is a need for a methodology based on a well-designed process as well as tools and techniques to manage New Product Development (NPD) projects. Since most companies develop new products, it is important to you as a manager to be familiar and understand the basic concepts and terminology of NPD projects. \\n\\nThis course will give you holistic view of the new product development arena and will help you gain specific knowledge in how to select, plan, monitor and control a new product development project, using the proper tools and techniques.\\n\\nUpon completion of this MOOC, you will:\\n1.  have a clear view and understanding of the New Product Development (NPD) arena\\n2.  be able to select the right product configuration based on value (Voice of the customer), cost, time to market and risks.\\n3.  be able to develop a feasible plan for your own product.\\n4.  be able to execute your plan in an uncertain dynamic environment using the right tools and techniques.\\n\\nAs part of the course the learners are required to purchase a discounted license for the Product Team Builder Simulator (http://www.sandboxmodel.com/), which is used for training and assignment submission. Please notice the simulator can only be used with Internet Explorer from a Windows computer.","product management; product development; product (business); product; food quality; podcast; food technology; industrial design; new product development; e-commerce","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,57.3]","[NULL]","English","business","entrepreneurship","YAymk1cKEeaIlw57rh81AQ"]
["Design and Product","Product Lifecycle","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; product (business); marketing mix; management; market (economics); marketing plan; brand; plan; marketing strategy; product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","[NULL]","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Design and Product","Product Lifecycle","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Product Lifecycle","Fundamentals of Project Planning and Management","University of Virginia","Beginner",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","project; risk; project planning; analysis; project plan; plan; project management; Planning; risk management; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7,13.8]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["Design and Product","Product Lifecycle","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","estimation; cost; management; budget; schedule (project management); project; project management; schedule; Budget Estimation; Planning","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","[2.7,6.3]","Thai; Arabic; Russian; Vietnamese","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["Design and Product","Product Lifecycle","International Business Environment","University of London","Intermediate",14.6,4.65,"https://www.coursera.org/learn/global-business-environment","This course explores the international business environment in which organisations function. You’ll learn about core analysis methods, including PESTLE, SWOT, and Boston Box Matrices, as well as the applications of Porter’s Five Forces. You’ll have the opportunity to participate in discussion forums and access case studies, as well as testing your understanding in quizzes.\\n\\nThis course forms part of a specialization from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. \\n\\nIf completed successfully, your certificate from this specialization can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.\\n\\nThis course is endorsed by CMI","swot analysis; porter's five forces analysis; competitiveness; modeling; pest analysis; product (business); product lifecycle; illustration; brand; externality","International Business Essentials",5.0,"https://www.coursera.org/specializations/mba","This specialisation from the University of London is designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in further study and in international business.\\n\\nIf completed successfully, you may be able to use your certificate from this specialisation as part of the application process for the University of London Global MBA.\\n\\nThis Specialisation is endorsed by CMI.","[4.1,22.3]","Arabic","English","business","business-essentials","brl1PE5lEea_wxLaOPmepQ"]
["Design and Product","Product Lifecycle","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Product Management","Software Product Management Capstone","University of Alberta","Beginner",37.7,4.8,"https://www.coursera.org/learn/software-product-management-capstone","In this six-week capstone course, you will gain practical management experience in a safe, simulated software production setting. You will apply Agile practices and techniques to conquer industry-inspired challenges. Interacting with a realistic client, you will discern what they want and express what they truly need in software requirements to drive software production. Upon completing the capstone, you will be prepared to advance your career as a confident software product management professional.","software development; product (business); project management; software; finger protocol; software project management; project; management; product management; agile software development","Software Product Management",6.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[20.1,61.8]","Greek","English","computer-science","design-and-product","99SZyjVxEeW6RApRXdjJPw"]
["Design and Product","Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.73,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","management; software requirements; requirements elicitation; requirements analysis; user story; requirements management; analysis; software development; software; use case","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.2]","Greek; Korean","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["Design and Product","Product Management","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","project; software; software development; risk; finger protocol; Planning; agile management; management; plan; agile software development","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.8]","[NULL]","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Design and Product","Product Management","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Design and Product","Product Management","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.68,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","business model; luxury goods; marketing; communication; management; Retail Management; modeling; product (business); brand management; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,20.1]","Persian","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["Design and Product","Product Management","Managing an Agile Team","University of Virginia","Beginner",16.5,4.65,"https://www.coursera.org/learn/uva-darden-agile-team-management","While agile has become the de facto standard for managing digital innovation teams, many wonder if they’re doing it ‘right’. Twitter is full of jokes about how teams say they do agile but don’t ‘really’ do it. The reality is that getting the most out of agile is less about observing specific procedures and more about how a team focuses and measures their progress. \\n\\nRather than just boring you with an accounting of agile methodologies, this course focuses on helping you better charter your team’s focus, definition of success, and practice of agile. While learning about agile mainstays like Scrum, XP, and kanban, you’ll also learn to help your team ask the right questions about how they’re working and facilitate good answers on how agile can help.    \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","iteration; management; scrum (software development); agile software development; software; agile management; openfabrics alliance; link aggregation; integration testing; software development","Agile Development",3.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.7,18.6]","Arabic","English","computer-science","design-and-product","94jQ-3EnEeWhZxJhllGpHQ"]
["Design and Product","Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Design and Product","Product Management","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Product Management","Intro to International Marketing","Yonsei University","Beginner",7.8,4.63,"https://www.coursera.org/learn/intro-international-marketing","About this Course\\n\\nThis course brings together two key subjects, International Marketing and Cross Industry Innovation. It will provide the basic foundations of international marketing and then explain how companies can grow by going abroad or sourcing ideas/expanding into other countries or industries. This is summarized as CCCI: Cross-Country and Cross-Industry Innovation, a term and analytical platform used throughout not only this course but others in the specialization. As an introductory course, we keep the concepts short and simple in order to ease learners into the wonderful world of international marketing. More specific operational aspects such as managing the product, price, place and promotion as well as targeting and positioning will be provided in the second course of the specialization. \\n\\nAfter you successfully complete this course learners will obtain the following outcomes:\\n\\n(1) an understanding of the core meaning of marketing and international marketing. \\n(2) learn that international marketing is about striking the right balance between maximizing the similarities across cultures (Etic approach) and customizing marketing (Emic approach) to important local differences.\\n(3) learn about how to source or expand into other industries at home or abroad via cross industry innovation.\\n(4) obtain a solid foundation for subsequent courses such as course 2 (International Marketing Entry and Execution) and the industry-specific courses in the specialization.","community of practice; marketing; marketing strategy; corporate bond; COBRA Administration; international finance; market (economics); global marketing; global; brand","International Marketing & Cross Industry Growth",1.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[3.6,10.2]","Chinese; Portuguese; Spanish","English","business","marketing","7pzdAYE3EeWb1w5ZMj87pw"]
["Design and Product","Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","project management; software; management; product (business); scrum (software development); burn down chart; software metrics; project; finger protocol; software project management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.3,18]","[NULL]","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["Design and Product","Product Management","Running Product Design Sprints","University of Virginia","Intermediate",14.2,4.54,"https://www.coursera.org/learn/uva-darden-running-design-sprints","Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. \\n \\nDesign sprints allow you to meet client's desire for quick, specific outcomes while making time to do things right. In this course, we'll show you how to plan and run situation-appropriate sprints to avoid waste and deliver value sooner. You'll explore how to do this across customer discovery, testing with Learn Startup, usability testing, and product architecture. \\n \\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","openfabrics alliance; agile management; java annotation; design sprint; software testing; scrum (software development); management; usability; integration testing; usability testing","Agile Development",2.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[9.2,16.5]","[NULL]","English","computer-science","design-and-product","qVetW596EeW6bw4ogk2HGQ"]
["Design and Product","Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.54,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","finger protocol; product (business); agile manifesto; product management; software; product; software development; management; software product management; agile software development","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[2.9,7.4]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["Design and Product","Product Management","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.52,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","usability; agile testing; software testing; agile software development; openfabrics alliance; sed; integration testing; software; software development; continuous delivery","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.1,16.3]","[NULL]","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["Design and Product","Product Management","Agile Development in Practice (Project-centered Course)","University of Virginia","Advanced",11.8,4.39,"https://www.coursera.org/learn/uva-darden-agile-development-capstone","This project-centered course provides a guided opportunity for you to practice your agile development skills. Using the venture design process that frames the four courses in this Specialization, you will apply agile processes to a project of your choice or to a provided venture concept. From persona, problem scenario, and user story development to designing user testing and product launch, you’ll practice leading an agile project. You’ll finish the course with a portfolio-building design brief that demonstrates your learning and specialized skills in agile product development.\\n\\nTo get the most out of this course, we suggest you first complete the other four courses in the Agile Development Specialization: Agile Meets Design Thinking; Running Product Design Sprints, Managing an Agile Team, Testing with Agile. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 40 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","software development; management; agile management; project management; test automation; agile software development; scrum (software development); software; program management; software testing","Agile Development",5.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.3,14.7]","[NULL]","English","computer-science","design-and-product","OdCMA6NeEeWw6Q7sxrDlWQ"]
["Design and Product","Product Management","Marketing: Customer Needs and Wants","IESE Business School","Intermediate",14.0,4.33,"https://www.coursera.org/learn/marketing-customers","Understanding who your customers are and what they need and want is at the heart of successful marketing strategies. In this course you will explore how to identify and classify customers and the different methods that marketing professionals use to shed light on how they make purchase decisions.\\n\\nThe course will cover the following:\\n1. Marketing Fundamentals\\n2. Product, Pricing and Channel Decisions \\n3. Building Strong Brands \\n4. Communication Strategy","credit cards; product (business); marketing; brand; communication; market (economics); business; pricing; customer; asset","Foundations of Management",3.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[8.1,17.5]","Vietnamese","English","business","business-strategy","i7N8t4khEeW99gozy_2pgw"]
["Design and Product","Product Marketing","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; product (business); marketing mix; management; market (economics); marketing plan; brand; plan; marketing strategy; product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","[NULL]","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Design and Product","Product Marketing","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Product Marketing","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Product Marketing","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.1,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by changing the roles and practices of both firms and consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 250,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\nThe course was initially launched in 2015, and has been updated in April 2020. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product (business); market (economics); digital marketing; pricing strategies; integration testing; brand; product; marketing; marketing mix; pricing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.1,32.9]","[NULL]","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Design and Product","Product Strategy","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; product (business); marketing mix; management; market (economics); marketing plan; brand; plan; marketing strategy; product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","[NULL]","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["Design and Product","Product Strategy","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","product management; product planning; product strategy; management; lean startup; Planning; product/market fit; product (business); product; agile management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["Design and Product","Product Strategy","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","product; brand management; product management; product (business); architecture; management; brand architecture; brand engagement; brand; marketing","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.1,17.4]","Mongolian; Vietnamese; Chinese; Korean","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["Design and Product","Product Strategy","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.1,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by changing the roles and practices of both firms and consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 250,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\nThe course was initially launched in 2015, and has been updated in April 2020. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product (business); market (economics); digital marketing; pricing strategies; integration testing; brand; product; marketing; marketing mix; pricing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.1,32.9]","[NULL]","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["Design and Product","Product Strategy","Marketing Mix Fundamentals","IE Business School","Intermediate",11.2,4.49,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","pricing; marketing mix; trademarks; communication; marketing communications; marketing; Trade Marketing; studentized residual; product (business); trading","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.2,14.5]","[NULL]","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["Design and Product","Technical Product Management","Software Product Management Capstone","University of Alberta","Beginner",37.7,4.8,"https://www.coursera.org/learn/software-product-management-capstone","In this six-week capstone course, you will gain practical management experience in a safe, simulated software production setting. You will apply Agile practices and techniques to conquer industry-inspired challenges. Interacting with a realistic client, you will discern what they want and express what they truly need in software requirements to drive software production. Upon completing the capstone, you will be prepared to advance your career as a confident software product management professional.","software development; product (business); project management; software; finger protocol; software project management; project; management; product management; agile software development","Software Product Management",6.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[20.1,61.8]","Greek","English","computer-science","design-and-product","99SZyjVxEeW6RApRXdjJPw"]
["Design and Product","Technical Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.73,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","management; software requirements; requirements elicitation; requirements analysis; user story; requirements management; analysis; software development; software; use case","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.2]","Greek; Korean","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["Design and Product","Technical Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","project; software; software development; risk; finger protocol; Planning; agile management; management; plan; agile software development","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.8]","[NULL]","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Design and Product","Technical Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Design and Product","Technical Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","project management; software; management; product (business); scrum (software development); burn down chart; software metrics; project; finger protocol; software project management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.3,18]","[NULL]","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["Design and Product","Technical Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.54,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","finger protocol; product (business); agile manifesto; product management; software; product; software development; management; software product management; agile software development","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[2.9,7.4]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["Design and Product","User Research","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.1,4.84,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; user experience design; web design; user interface design; adobe photoshop; user interface; graphic design; javascript; interaction design; typography","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.1,32.3]","[NULL]","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["Design and Product","User Research","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","interaction design; heuristic; user experience; usability testing; user experience design; heuristic evaluation; user research; experience; evaluation; human computer interaction","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.5,22.4]","[NULL]","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Design and Product","User Research","Understanding User Needs","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/understanding-user-needs","Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.\\n\\nLearners will be introduced to numerous techniques to gather data from and about users.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n     Find out what user needs assessments are, what qualitative research is, and how the two are related.\\n     Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology \\n     includes knowledge of semi-structured interviews, in-situ observation, and affinity walls.\\n     Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls.\\n     Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.","user research; computer science; algorithms; user experience design; cluster analysis; kentaro toyama; human computer interaction; interactive design; analysis; user experience","User Experience Research and Design",2.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[10,30.7]","[NULL]","English","computer-science","design-and-product","q_MmwLLUEeilNhJ2KR9bNg"]
["Design and Product","User Research","Evaluating Designs with Users","University of Michigan","Intermediate",13.1,4.69,"https://www.coursera.org/learn/evaluating-designs-with-users","When designing systems that work for users, there is no substitute for watching them try to use the system to see what works and what doesn’t.\\n\\nIn this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n    Identify different approaches to user testing and their appropriate use\\n    Understand how to design an effective user test\\n    Understand how to run an effective user test to get the most information possible out of each encounter\\n    Analyze and report on user testing","user experience; a/b testing; computer programming; data analysis; usability testing; human computer interaction; analysis; integration testing; user research; user experience design","User Experience Research and Design",3.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[8.1,18.6]","[NULL]","English","computer-science","design-and-product","6kjx6bLUEeiS1gqMTHirQg"]
["Design and Product","User Research","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.6,4.68,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","interaction design; user experience design; experience; gulf of execution; customer experience; user research; human computer interaction; a/b testing; design rationale; user experience","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.8,37.6]","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["Design and Product","User Research","Introduction to UI Design","University of Minnesota","Beginner",22.9,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","java annotation; evaluation; experience; interfaces; usability; user interface; user experience; principle; design theory; user interface design","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13,35.7]","[NULL]","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["Design and Product","User Research","Evaluating User Interfaces","University of Minnesota","Intermediate",20.3,4.66,"https://www.coursera.org/learn/ui-testing","In this course you will learn and practice several techniques for user interface evaluation.  First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation.  Then we move on to user testing, including learning from a series of usability tests carried out in a real usability lab, and techniques to carry out your own tests even without a lab.  Finally, we wrap up the discussion of evaluation--and of UI Design in the specialization as a whole--by looking at the question of how to set and measure usability goals, and in turn, when a design is usable enough to release it.","usability goals; user interface design; cognitive walkthrough; user experience; usability lab; heuristic evaluation; user research; usability testing; usability; user interface","User Interface Design",4.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13.6,30.3]","[NULL]","English","computer-science","design-and-product","Jj0UJjyrEeanIg6YknlKvw"]
["Design and Product","User Research","Human-Centered Design: an Introduction","University of California San Diego","Beginner",15.8,4.63,"https://www.coursera.org/learn/human-computer-interaction","In this course, you will learn how to design technologies that bring people joy, rather than frustration. You'll learn several techniques for rapidly prototyping (such as Wizard of Oz Prototyping) and evaluating multiple interface alternatives -- and why rapid prototyping and comparative evaluation are essential to excellent interaction design. You'll learn how to conduct fieldwork with people to help you get design ideas. How to make paper prototypes and low-fidelity mock-ups that are interactive -- and how to use these designs to get feedback from other stakeholders like your teammates, clients, and users. Armed with these design-thinking strategies, you’ll be able to do more creative human-centered design in any domain. \\n\\nThis is the first course offered in the interaction design specialization series. Browse through previous capstone projects for some inspiration here: https://medium.com/capstone-projects/capstone-projects-2019-abc67d3f6f26","evaluation; human computer interaction; paper prototyping; storyboarding; heuristic; interaction; rapid prototyping; heuristic evaluation; user experience; interview","Interaction Design",1.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[10.8,18.8]","Chinese; Russian; Korean; Portuguese; Spanish","English","computer-science","design-and-product","DDBg7AlXEeWTSSIAC0MDtg"]
["Design and Product","User Research","Design Principles: an Introduction","University of California San Diego","Beginner",16.0,4.58,"https://www.coursera.org/learn/design-principles","What makes an interface intuitive? How can I tell whether one design works better than another? This course will teach you fundamental principles of design and how to effectively evaluate your work with users. You'll learn fundamental principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn principles of perception and cognition that inform effective interaction design. And you'll learn how to perform and analyze controlled experiments online. In many cases, we'll use Web design as the anchoring domain. A lot of the examples will come from the Web, and we'll talk just a bit about Web technologies in particular. When we do so, it will be to support the main goal of this course, which is helping you build human-centered design skills, so that you have the principles and methods to create excellent interfaces with any technology.","information design; user interface; a/b testing; human computer interaction; software testing; interaction design; user experience; direct manipulation interface; user experience design; rapid prototyping","Interaction Design",2.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[11.6,18.4]","Japanese; Spanish; Turkish; Portuguese; Russian; Chinese","English","computer-science","design-and-product","YcfRNRoCEeW9dA4X94-nLQ"]
["Design and Product","User Research","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","customer experience; persona (user experience); industrial design; interview; human computer interaction; experience; user research; user experience; map; interaction design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,12]","Portuguese; Russian; Chinese; Spanish","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Design and Product","User Research","User Research and Design","University of Minnesota","Beginner",13.4,4.5,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user experience; i-deas; persona (user experience); seeks; user interface; user research; ideas group; interfaces; user interface design; contextual inquiry","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[9.4,15.3]","[NULL]","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["Design and Product","User Research","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.49,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","user experience; interfaces; user research; experience; user experience design; experience design; user interface; java annotation; usability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.2,8.2]","Spanish; French; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["Design and Product","User Research","UX (User Experience) Capstone","University of Michigan","Advanced",12.7,4.35,"https://www.coursera.org/learn/user-experience-capstone","In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product.\\n\\nYou will:\\n    Learn how to design and carry out an integrated multi-phase user experience research and design project\\n    Gain experience conducting user experience research in a real-world setting\\n    Gain hands-on experience with a realistic UX design project\\n    Improve ability to communicate design concepts and actionable research findings.","a/b testing; heuristic evaluation; human computer interaction; experience; interactive design; user experience design; stock market; user experience; user research; integration testing","User Experience Research and Design",6.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[5.3,16.6]","[NULL]","English","computer-science","design-and-product","YtJlYdCvEeifjQp217MoCg"]
["Human Computer Interaction","Best Courses","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.1,4.84,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; user experience design; web design; user interface design; adobe photoshop; user interface; graphic design; javascript; interaction design; typography","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.1,32.3]","[NULL]","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["Human Computer Interaction","Best Courses","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","interaction design; heuristic; user experience; usability testing; user experience design; heuristic evaluation; user research; experience; evaluation; human computer interaction","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.5,22.4]","[NULL]","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Human Computer Interaction","Best Courses","Understanding User Needs","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/understanding-user-needs","Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.\\n\\nLearners will be introduced to numerous techniques to gather data from and about users.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n     Find out what user needs assessments are, what qualitative research is, and how the two are related.\\n     Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology \\n     includes knowledge of semi-structured interviews, in-situ observation, and affinity walls.\\n     Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls.\\n     Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.","user research; computer science; algorithms; user experience design; cluster analysis; kentaro toyama; human computer interaction; interactive design; analysis; user experience","User Experience Research and Design",2.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[10,30.7]","[NULL]","English","computer-science","design-and-product","q_MmwLLUEeilNhJ2KR9bNg"]
["Human Computer Interaction","Best Courses","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.1,4.75,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","human computer interaction; web design; user experience design; user experience; site map; adobe photoshop; experience; user interface; graphic design; user interface design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[14.3,26.6]","[NULL]","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["Human Computer Interaction","Best Courses","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",20.0,4.74,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user interface design; xml; architecture; site map; information architecture; graphic design; user interface; user experience; adobe photoshop; web design","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.1,25.6]","[NULL]","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["Human Computer Interaction","Best Courses","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Human Computer Interaction","Best Courses","Evaluating Designs with Users","University of Michigan","Intermediate",13.1,4.69,"https://www.coursera.org/learn/evaluating-designs-with-users","When designing systems that work for users, there is no substitute for watching them try to use the system to see what works and what doesn’t.\\n\\nIn this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n    Identify different approaches to user testing and their appropriate use\\n    Understand how to design an effective user test\\n    Understand how to run an effective user test to get the most information possible out of each encounter\\n    Analyze and report on user testing","user experience; a/b testing; computer programming; data analysis; usability testing; human computer interaction; analysis; integration testing; user research; user experience design","User Experience Research and Design",3.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[8.1,18.6]","[NULL]","English","computer-science","design-and-product","6kjx6bLUEeiS1gqMTHirQg"]
["Human Computer Interaction","Best Courses","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.6,4.68,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","interaction design; user experience design; experience; gulf of execution; customer experience; user research; human computer interaction; a/b testing; design rationale; user experience","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.8,37.6]","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["Human Computer Interaction","Best Courses","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.8,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","graphics; java annotation; user interface; graphic design; user experience; user interface design; interfaces; web design; experience; design pattern","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.6,18.1]","[NULL]","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Human Computer Interaction","Best Courses","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.49,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","user experience; interfaces; user research; experience; user experience design; experience design; user interface; java annotation; usability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.2,8.2]","Spanish; French; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["Human Computer Interaction","Human Factors (Security)","Securing Digital Democracy","University of Michigan","Advanced",17.9,4.84,"https://www.coursera.org/learn/digital-democracy","In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.","unique key; political science; cybersecurity; distributed denial of service; usability; terminal server; wii menu; elections; internet; security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,22.7]","[NULL]","English","computer-science","computer-security-and-networks","52n7Ml8SEeSiWyIACyQQqQ"]
["Human Computer Interaction","Human Factors (Security)","Cybersecurity and the X-Factor","University System of Georgia","Intermediate",8.3,4.58,"https://www.coursera.org/learn/cybersecurity-and-x-factor","What is the X-Factor? In Cybersecurity, the X-Factor related to unknown and unpredictable human behavior within and outside of your organization. “No one really knows why humans do what they do”, (David K. Reynolds), and because of this organizations can be unprepared for malicious, untrained, or even best intentioned behavior that can cause alarm and sometimes irreparable harm.  \\n\\nThis course will introduce you to the types of training available to reduce the impact of the X-Factor, evaluate its effectiveness, explore the Security Education, Training and Awareness (SETA) program, and learn why it may fail. The course will conclude with information designed to assist you with some critical components for your business security program. Activities focused on hactivism, cyberinsurance, and ransomware will round out your knowledge base.  Your team of instructors has prepared a series of readings, discussions, guest lectures, and quizzes to engage you in this exciting topic.","ransomware; cybersecurity; internet of things; locky; information security; scaled agile framework; insider threat; entity; security management; failure","Cybersecurity: Developing a Program for Your Business",3.0,"https://www.coursera.org/specializations/cybersecurity-developing-program-for-business","Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.","[4.8,10.4]","[NULL]","English","computer-science","computer-security-and-networks","K1OOQOR5EeWwaBIy029mpQ"]
["Human Computer Interaction","Human Factors (Security)","Cybersecurity and Mobility","University System of Georgia","Beginner",8.3,4.37,"https://www.coursera.org/learn/cybersecurity-mobility","This course is for you if you are interested in transitioning toward a managerial role in cybersecurity and mobility. Through interviews with industry experts in this area, you will be able to analyze innovations powering the rapid spread of information technology and how they present new challenges for protecting data. For example, mobile devices increase convenience but often bypass traditional security measures. After this course, you will be able to describe how the nature of the threat evolves, as culprits employ a burgeoning set of sophisticated tools to take advantage of our growing reliance on networks for critical-data exchange.\\n\\nIf you want to pursue a career in the public sector, the stakes are high as well. The proliferation of hackers, inevitable human errors, bring-your-own-device (BYOD) initiatives, and the ever-broadening need to share information weigh heavily on government and education organizations, and consume substantial resources. The Pentagon, for example, has proposed to spend $23 billion on network security initiatives through 2018. This sounds like a large sum, until you consider the scope and importance of the U.S. government information resources this investment must protect.\\n\\nAfter completing the course modules you will be able to explain how yesterday’s prevention strategies are no longer adequate for stopping advanced, targeted attacks. Effective cybersecurity must be multi-dimensional and tiered, as threats can originate from virtually anywhere, target numerous levels of an organization, and sometimes persist for months or years before an information security staff is aware of an attack or breach. Therefore securing networks requires a holistic approach that incorporates several elements.","ordered pair; mobile security; network security; internet of things; security; curve fitting; integration testing; cybersecurity; sed; openfabrics alliance","Cybersecurity: Developing a Program for Your Business",1.0,"https://www.coursera.org/specializations/cybersecurity-developing-program-for-business","Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.","[4.9,10.2]","[NULL]","English","computer-science","computer-security-and-networks","BuO0neR5EeWYOBIRup69HQ"]
["Human Computer Interaction","Interactive Design","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","interaction design; heuristic; user experience; usability testing; user experience design; heuristic evaluation; user research; experience; evaluation; human computer interaction","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.5,22.4]","[NULL]","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Human Computer Interaction","Interactive Design","Understanding User Needs","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/understanding-user-needs","Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.\\n\\nLearners will be introduced to numerous techniques to gather data from and about users.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n     Find out what user needs assessments are, what qualitative research is, and how the two are related.\\n     Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology \\n     includes knowledge of semi-structured interviews, in-situ observation, and affinity walls.\\n     Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls.\\n     Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.","user research; computer science; algorithms; user experience design; cluster analysis; kentaro toyama; human computer interaction; interactive design; analysis; user experience","User Experience Research and Design",2.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[10,30.7]","[NULL]","English","computer-science","design-and-product","q_MmwLLUEeilNhJ2KR9bNg"]
["Human Computer Interaction","Interactive Design","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.6,4.68,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","interaction design; user experience design; experience; gulf of execution; customer experience; user research; human computer interaction; a/b testing; design rationale; user experience","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.8,37.6]","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["Human Computer Interaction","User Experience","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.1,4.84,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; user experience design; web design; user interface design; adobe photoshop; user interface; graphic design; javascript; interaction design; typography","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.1,32.3]","[NULL]","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["Human Computer Interaction","User Experience","Introduction to User Experience Principles and Processes","University of Michigan","Beginner",19.6,4.83,"https://www.coursera.org/learn/introtoux-principles-and-processes","This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX.\\n\\nWhat you'll learn:\\n\\n- The skills needed for UX research and design\u2028\\n- How UX researchers discover and assess user needs and assess possible designs\u2028\\n- How to conduct a micro-usability test\u2028\\n- How UX designers use sketching and prototyping to develop design concepts\\n- How to incorporate a user-centered focus into the design process\u2028\\n- Key features of human behavior and describe their impact on the design of interactive systems\u2028\\n- Techniques for critiquing and designing interactive systems based on human capabilities and behavior","interaction design; heuristic; user experience; usability testing; user experience design; heuristic evaluation; user research; experience; evaluation; human computer interaction","User Experience Research and Design",1.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.5,22.4]","[NULL]","English","computer-science","design-and-product","fZGtX7LUEeilNhJ2KR9bNg"]
["Human Computer Interaction","User Experience","Understanding User Needs","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/understanding-user-needs","Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.\\n\\nLearners will be introduced to numerous techniques to gather data from and about users.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n     Find out what user needs assessments are, what qualitative research is, and how the two are related.\\n     Learn an end-to-end methodology for qualitative research that is suited for understanding user needs. The methodology \\n     includes knowledge of semi-structured interviews, in-situ observation, and affinity walls.\\n     Be exposed to good practices for conducting semi-structured interviews, in-situ observation, and affinity walls.\\n     Gain some experience with semi-structured interviews, in-situ observations, and affinity walls.","user research; computer science; algorithms; user experience design; cluster analysis; kentaro toyama; human computer interaction; interactive design; analysis; user experience","User Experience Research and Design",2.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[10,30.7]","[NULL]","English","computer-science","design-and-product","q_MmwLLUEeilNhJ2KR9bNg"]
["Human Computer Interaction","User Experience","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.1,4.75,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","human computer interaction; web design; user experience design; user experience; site map; adobe photoshop; experience; user interface; graphic design; user interface design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[14.3,26.6]","[NULL]","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["Human Computer Interaction","User Experience","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",20.0,4.74,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user interface design; xml; architecture; site map; information architecture; graphic design; user interface; user experience; adobe photoshop; web design","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.1,25.6]","[NULL]","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["Human Computer Interaction","User Experience","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Human Computer Interaction","User Experience","Evaluating Designs with Users","University of Michigan","Intermediate",13.1,4.69,"https://www.coursera.org/learn/evaluating-designs-with-users","When designing systems that work for users, there is no substitute for watching them try to use the system to see what works and what doesn’t.\\n\\nIn this UX course, you will learn how to design and conduct tests with users that will tell you how effective your design is for helping users do what they need to do, and how they feel about using your system.\\n\\nThis course is part of the User Experience (UX) Research and Design specialization offered on Coursera.\\n\\nWhat you'll learn:\\n\\n    Identify different approaches to user testing and their appropriate use\\n    Understand how to design an effective user test\\n    Understand how to run an effective user test to get the most information possible out of each encounter\\n    Analyze and report on user testing","user experience; a/b testing; computer programming; data analysis; usability testing; human computer interaction; analysis; integration testing; user research; user experience design","User Experience Research and Design",3.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[8.1,18.6]","[NULL]","English","computer-science","design-and-product","6kjx6bLUEeiS1gqMTHirQg"]
["Human Computer Interaction","User Experience","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.6,4.68,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","interaction design; user experience design; experience; gulf of execution; customer experience; user research; human computer interaction; a/b testing; design rationale; user experience","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.8,37.6]","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["Human Computer Interaction","User Experience","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.8,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","graphics; java annotation; user interface; graphic design; user experience; user interface design; interfaces; web design; experience; design pattern","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.6,18.1]","[NULL]","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["Human Computer Interaction","User Experience","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","customer experience; persona (user experience); industrial design; interview; human computer interaction; experience; user research; user experience; map; interaction design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,12]","Portuguese; Russian; Chinese; Spanish","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["Human Computer Interaction","User Experience","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.49,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","user experience; interfaces; user research; experience; user experience design; experience design; user interface; java annotation; usability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.2,8.2]","Spanish; French; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["Human Computer Interaction","User Experience","UX (User Experience) Capstone","University of Michigan","Advanced",12.7,4.35,"https://www.coursera.org/learn/user-experience-capstone","In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product.\\n\\nYou will:\\n    Learn how to design and carry out an integrated multi-phase user experience research and design project\\n    Gain experience conducting user experience research in a real-world setting\\n    Gain hands-on experience with a realistic UX design project\\n    Improve ability to communicate design concepts and actionable research findings.","a/b testing; heuristic evaluation; human computer interaction; experience; interactive design; user experience design; stock market; user experience; user research; integration testing","User Experience Research and Design",6.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[5.3,16.6]","[NULL]","English","computer-science","design-and-product","YtJlYdCvEeifjQp217MoCg"]
["Computer Networking","Best Courses","Introduction to Cybersecurity for Business","University of Colorado System","Beginner",11.9,4.71,"https://www.coursera.org/learn/intro-cyber-security-business","The world runs computers.  From small to large businesses, from the CEO down to level 1 support staff, everyone uses computers.  This course is designed to give you a practical perspective on computer security.  This course approaches computer security in a way that anyone can understand.  Ever wonder how your bank website is secure when you connect to it?  Wonder how other business owners secure their network?  Wonder how large data breaches happen?  This is practical computer security.  It will help you answer the question – what should I focus on?","risk; cybersecurity; attack surface; risk assessment; penetration test; certified information systems security professional; information security; splunk; porting; security","Cybersecurity for Business",1.0,"https://www.coursera.org/specializations/cyber-security-business","It seems anymore that you can't listen to the news without hearing of a data breach. You may have heard it said before that there are 2 types of companies out there, the ones who have been breached and those who will be breached. Defending against attackers who want to compromise assets can seem like an arduous task, but learning how attacks work and more importantly how to defend against those attacks can be very fulfilling. This specialization is designed to introduce you to practical computer security by teaching you the fundamentals of how you use security in the business world. This course is for those who want to understand how to defend computer systems and assets from attackers and other threats. It is also for those who want to understand how threats and attacks are carried out to help better defend their systems. This specialization is designed for senior business leaders to middle management and system administrators, so they can all speak the same language and get a better handle on their organization's security. Additionally, the course material may help you in passing some industry leading computer security examinations such as Security+ and CISSP.","[6.3,17.8]","[NULL]","English","information-technology","security","tFtQuLmJEeaHhwpEISB4Yg"]
["Computer Networking","Best Courses","Networks and Communications Security","(ISC)²","Advanced",15.3,4.69,"https://www.coursera.org/learn/network-security-communications-sscp","Welcome to Networks and Communications Security Course!\\nIn the Networks and Communications Security Course, you will learn about the network structure, data transmission methods, transport formats, and the security measures used to maintain integrity, availability, authentication, and confidentiality of the information being transmitted.\\nConcepts for both public and private communication networks will be discussed.\\n\\nCourse Objectives\\n1. Describe network-related security issues\\n2. Identify protective measures for telecommunication technologies\\n3. Define processes for controlling network access\\n4. Identify processes for managing LAN-based security\\n5. Describe procedures for operating and configuring networked-based\\nsecurity devices\\n6. Define procedures to implement and operate wireless technologies","radius server; simple network management protocol; multiprotocol label switching; digital camera back; virtual private lan service; ieee 802.11i-2004; virtual lan; layer 2 tunneling protocol; point-to-point tunneling protocol; label switching","(ISC)² Systems Security Certified Practitioner (SSCP)",5.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[7.7,20.9]","[NULL]","English","information-technology","security","f8aGKd6gEeenNRKVx8XrYg"]
["Computer Networking","Best Courses","Software Defined Networking","The University of Chicago","Advanced",47.1,4.62,"https://www.coursera.org/learn/sdn","In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.","Cisco; software-defined networking; jenkins (software); network security; multiprotocol label switching; openflow; routing; telecommunications network; cellular network; voice over ip","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[28.4,63.5]","[NULL]","English","computer-science","computer-security-and-networks","mEvpo36FEeW53BJEfL52qQ"]
["Computer Networking","Best Courses","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",16.9,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","microcontroller; internet protocol; communications protocol; internet of things; internet; Embedded System Design; network protocols; Wireshark; systems design; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.8,24.2]","Arabic; Spanish; Vietnamese","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["Computer Networking","Best Courses","Information Security: Context and Introduction","University of London","Intermediate",45.9,4.61,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","cryptography; incident management; encryption; cybersecurity; security; management; information security; null character; network security; security management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,80.7]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["Computer Networking","Best Courses","Fundamentals of Network Communication","University of Colorado System","Intermediate",7.2,4.54,"https://www.coursera.org/learn/fundamentals-network-communications","In this course, we trace the evolution of networks and identify the key concepts and functions that form the basis for layered architecture. We introduce examples of protocols and services that are familiar to the students, and we explain how these services are supported by networks. Further, we explain fundamental concepts in digital communication, and focus on error control techniques that include parity check, polynomial code, and Internet checksum. Students will be required to have some previous programming experience in C-programming (C++/Java), some fundamental knowledge of computer organization and IT architecture and a background in computer science is a plus.","parity bit; socket; error detection and correction; application programming interfaces; internet protocol suite; routing; data transmission; computer network; telecommunications network; berkeley sockets","Computer Communications",1.0,"https://www.coursera.org/specializations/computer-communications","This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.","[2.5,9.3]","[NULL]","English","computer-science","computer-security-and-networks","8-shGkfyEeemlQrrzf9X-A"]
["Computer Networking","Best Courses","TCP/IP and Advanced Topics","University of Colorado System","Advanced",7.6,4.54,"https://www.coursera.org/learn/tcp-ip-advanced","In this course, we give an in-depth study of the TCP/IP protocols. We examine the details of how IP enables communications across a collection of networks. We pay particular attention to the hierarchical structure of IP addresses and explain their role in ensuring scalability of the Internet. The role of address prefixes and the uses of masks are explained in details. We review in details about TCP three-way handshake, flow control, and congestion control. Furthermore, we provide an introduction to some advanced topics, including Multicast, SDN and security","network congestion; mobile ip; subnetwork; multicast; ip address; transmission control protocol; openflow; internet protocol suite; internet; internet protocol","Computer Communications",4.0,"https://www.coursera.org/specializations/computer-communications","This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.","[2.9,9.4]","[NULL]","English","computer-science","computer-security-and-networks","KfuykmTsEeeqbxLIz9M6nA"]
["Computer Networking","Network Architecture","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Computer Networking","Network Architecture","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",16.9,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","microcontroller; internet protocol; communications protocol; internet of things; internet; Embedded System Design; network protocols; Wireshark; systems design; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.8,24.2]","Arabic; Spanish; Vietnamese","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["Computer Networking","Network Architecture","Fundamentals of Network Communication","University of Colorado System","Intermediate",7.2,4.54,"https://www.coursera.org/learn/fundamentals-network-communications","In this course, we trace the evolution of networks and identify the key concepts and functions that form the basis for layered architecture. We introduce examples of protocols and services that are familiar to the students, and we explain how these services are supported by networks. Further, we explain fundamental concepts in digital communication, and focus on error control techniques that include parity check, polynomial code, and Internet checksum. Students will be required to have some previous programming experience in C-programming (C++/Java), some fundamental knowledge of computer organization and IT architecture and a background in computer science is a plus.","parity bit; socket; error detection and correction; application programming interfaces; internet protocol suite; routing; data transmission; computer network; telecommunications network; berkeley sockets","Computer Communications",1.0,"https://www.coursera.org/specializations/computer-communications","This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.","[2.5,9.3]","[NULL]","English","computer-science","computer-security-and-networks","8-shGkfyEeemlQrrzf9X-A"]
["Computer Networking","Network Architecture","Intel® Network Academy - Network Transformation 101","Intel","Beginner",29.7,4.44,"https://www.coursera.org/learn/network-transformation-101","Welcome to the Intel® Network Academy – a comprehensive training program on network transformation.  In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond. The Network Academy includes a broad collection of online content and technical training aimed to assist technical professionals in the network industry to improve their knowledge of key Intel® technologies, industry trends, and technical aspects of NFV deployments.","euler's totient function; software-defined networking; digital signal processing; computer network; virtualization software; network function virtualization; computer network programming; internet; internet of things; embedded c","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.7,39.9]","[NULL]","English","information-technology","networking","pQ2CC7UQEeigigpB_Gk51A"]
["Computer Networking","Network Model","The Bits and Bytes of Computer Networking","Google","Beginner",23.3,4.68,"https://www.coursera.org/learn/computer-networking","This course is designed to provide a full overview of computer networking. We’ll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting. \\n\\nBy the end of this course, you’ll be able to:\\n● describe computer networks in terms of a five-layer model\\n● understand all of the standard protocols involved with TCP/IP communications\\n● grasp powerful network troubleshooting tools and techniques\\n● learn network services like DNS and DHCP that help make computer networks run\\n● understand cloud computing, everything as a service, and cloud storage","ipv4; cloud computing; computer network; Troubleshooting; ipv6 address; modeling; domain name system; network model; wireless; network layer","Google IT Support",2.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[13.8,34.2]","Spanish; Portuguese; Arabic","English","information-technology","networking","X2bX61doEeerkQ5vdwUqtA"]
["Computer Networking","Network Model","Google Cloud Platform Fundamentals for AWS Professionals","Google Cloud","Intermediate",10.4,4.63,"https://www.coursera.org/learn/gcp-fundamentals-aws","This accelerated 6-hour course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. If you prefer to learn fast by doing, this course is for you.\\n\\nLearning Objectives\\n\\nThis course teaches participants the following skills:\\n● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more\\n● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more\\n● Manage and monitor applications\\n● Explain feature and pricing model differences\\n● Locate documentation and training.\\n\\nPrerequisites\\n\\nTo get the most of out of this course, participants should have basic proficiency with networking technologies like subnets and routing. Students are also expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.","relative change and difference; google cloud platform; data clustering algorithms; virtual machine; google; cloud platforms; cloud computing; interoperability; amazon redshift; load balancing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,12.3]","[NULL]","English","computer-science","computer-security-and-networks","_qMNfupfEea9sQ4_cyco6A"]
["Computer Networking","Network Security","IT Security: Defense against the digital dark arts","Google","Beginner",21.2,4.73,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","information security; encryption; wireless; integration testing; authentication; security; cryptography; network security; wireless security; cybersecurity","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.7]","Arabic; Spanish; Portuguese","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Computer Networking","Network Security","Introduction to Cybersecurity for Business","University of Colorado System","Beginner",11.9,4.71,"https://www.coursera.org/learn/intro-cyber-security-business","The world runs computers.  From small to large businesses, from the CEO down to level 1 support staff, everyone uses computers.  This course is designed to give you a practical perspective on computer security.  This course approaches computer security in a way that anyone can understand.  Ever wonder how your bank website is secure when you connect to it?  Wonder how other business owners secure their network?  Wonder how large data breaches happen?  This is practical computer security.  It will help you answer the question – what should I focus on?","risk; cybersecurity; attack surface; risk assessment; penetration test; certified information systems security professional; information security; splunk; porting; security","Cybersecurity for Business",1.0,"https://www.coursera.org/specializations/cyber-security-business","It seems anymore that you can't listen to the news without hearing of a data breach. You may have heard it said before that there are 2 types of companies out there, the ones who have been breached and those who will be breached. Defending against attackers who want to compromise assets can seem like an arduous task, but learning how attacks work and more importantly how to defend against those attacks can be very fulfilling. This specialization is designed to introduce you to practical computer security by teaching you the fundamentals of how you use security in the business world. This course is for those who want to understand how to defend computer systems and assets from attackers and other threats. It is also for those who want to understand how threats and attacks are carried out to help better defend their systems. This specialization is designed for senior business leaders to middle management and system administrators, so they can all speak the same language and get a better handle on their organization's security. Additionally, the course material may help you in passing some industry leading computer security examinations such as Security+ and CISSP.","[6.3,17.8]","[NULL]","English","information-technology","security","tFtQuLmJEeaHhwpEISB4Yg"]
["Computer Networking","Network Security","Mitigating Security Vulnerabilities on Google Cloud Platform","Google Cloud","Beginner",12.2,4.71,"https://www.coursera.org/learn/mitigating-security-vulnerabilites-gcp","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; uniform resource locator; cloud computing; denial-of-service attacks; security; vulnerability (computing); digital signature; privacy; authorization; google cloud platform","Security in Google Cloud Platform",3.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.8,14.4]","[NULL]","English","information-technology","cloud-computing","BkQTO_GxEeiCNw6qJOIwLA"]
["Computer Networking","Network Security","Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","Beginner",14.0,4.71,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.","cloud storage; google; bigquery; cloud platforms; kubernetes; cloud computing; google compute engine; google app engine; graphical environment manager; google cloud platform","Architecting with Google Compute Engine",1.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8.4,16.9]","French; Japanese; Spanish; German","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Computer Networking","Network Security","Networks and Communications Security","(ISC)²","Advanced",15.3,4.69,"https://www.coursera.org/learn/network-security-communications-sscp","Welcome to Networks and Communications Security Course!\\nIn the Networks and Communications Security Course, you will learn about the network structure, data transmission methods, transport formats, and the security measures used to maintain integrity, availability, authentication, and confidentiality of the information being transmitted.\\nConcepts for both public and private communication networks will be discussed.\\n\\nCourse Objectives\\n1. Describe network-related security issues\\n2. Identify protective measures for telecommunication technologies\\n3. Define processes for controlling network access\\n4. Identify processes for managing LAN-based security\\n5. Describe procedures for operating and configuring networked-based\\nsecurity devices\\n6. Define procedures to implement and operate wireless technologies","radius server; simple network management protocol; multiprotocol label switching; digital camera back; virtual private lan service; ieee 802.11i-2004; virtual lan; layer 2 tunneling protocol; point-to-point tunneling protocol; label switching","(ISC)² Systems Security Certified Practitioner (SSCP)",5.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[7.7,20.9]","[NULL]","English","information-technology","security","f8aGKd6gEeenNRKVx8XrYg"]
["Computer Networking","Network Security","Palo Alto Networks Academy Cybersecurity Foundation","Palo Alto Networks","Intermediate",10.3,4.66,"https://www.coursera.org/learn/cybersecurity-foundation","Course Overview:\\nIn this course, students will learn the fundamentals of cybersecurity and identify the concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure.  Course 1 of 5 in the Palo Alto Networks Security Operating Platform Cybersecurity Specialization.\\n\\nCourse Structure – 7 Modules\\nEach module has the following components:  Reading, e-learning, Discussion, and Assessment. E-learning components either direct students to online resources or deliver audio transcriptions of the module reading component. Assessments are quizzes that are designed as learning activities, and allow students two attempts for each quiz. At the end of the course there is a hands-on lab activity. \\n\\nSupporting Materials\\nThe CyberSecurity Survival Guide is a downloadable pdf file that presents information included in both the Foundation and Gateway classes as well as glossary ‘key’ terms and figures. The Foundation course maps to Chapter 1 of the Survival Guide.","virtual private networks; denial-of-service attacks; data transmission; security modes; cybersecurity; security; data centers; arrays; network security; web","Palo Alto Networks Cybersecurity",1.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[5.6,13.2]","Arabic","English","information-technology","security","7wRcAC7HEeieyQoEmfUmdA"]
["Computer Networking","Network Security","Managing Security in Google Cloud Platform","Google Cloud","Beginner",14.0,4.65,"https://www.coursera.org/learn/managing-security-in-google-cloud-platform","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google cloud platform; load balancing; google; a priori; principle of least privilege; cloud computing; security; cloud computing security; cloud platforms; authentication","Security in Google Cloud Platform",2.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8,16.4]","[NULL]","English","information-technology","cloud-computing","NBJxE-OmEeiWYg6-QHiENg"]
["Computer Networking","Network Security","Managing Security in Google Cloud Platform","Google Cloud","Beginner",14.0,4.65,"https://www.coursera.org/learn/managing-security-in-google-cloud-platform","This self-paced training course gives participants broad study of security controls and techniques on Google Cloud Platform.\\n\\nThrough recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\nTo get the most out of this course, participants should have:\\n  * Prior completion of Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience\\n  * Prior completion of GCP and Hybrid Networking Deep Dive or equivalent experience\\n  * Knowledge of foundational concepts in information security, such as\\n        * vulnerability, threat, attack surface \\n        * confidentiality, integrity, availability\\n        * common threat types and their mitigation strategies\\n        * public-key cryptography\\n        * public and private key pairs\\n        * certificates\\n        * cipher types\\n        * certificate authorities\\n        * Transport Layer Security/Secure Sockets Layer encrypted communication\\n        * public key infrastructures\\n        * security policy\\n  * Basic proficiency with command-line tools and Linux operating system environments\\n  * Systems Operations experience,  deploying and managing applications, on-premises or in a public cloud environment\\n  * Reading comprehension of code in Python or Javascript\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google cloud platform; load balancing; google; a priori; principle of least privilege; cloud computing; security; cloud computing security; cloud platforms; authentication","Security in Google Cloud Platform",2.0,"https://www.coursera.org/specializations/security-google-cloud-platform","Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[8,16.4]","[NULL]","English","information-technology","cloud-computing","NBJxE-OmEeiWYg6-QHiENg"]
["Computer Networking","Network Security","Real-Time Cyber Threat Detection and Mitigation","New York University Tandon School of Engineering","Advanced",13.1,4.63,"https://www.coursera.org/learn/real-time-cyber-threat-detection","This course introduces real-time cyber security techniques and methods in the context of the TCP/IP protocol suites. Explanation of some basic TCP/IP security hacks is used to introduce the need for network security solutions such as stateless and stateful firewalls. Learners will be introduced to the techniques used to design and configure firewall solutions such as packet filters and proxies to protect enterprise assets.\\n\\nPerimeter solutions such as firewalls and intrusion prevention systems are shown to have significant drawbacks in common enterprise environments. The result of such weakness is shown to often exist as advanced persistent threats (APTs) from nation-state actors. Such attacks, as well as DDOS and third-party attacks, are shown to have potential solutions for modern enterprise.","forward proxy; threat (computer); system on a chip; network security; information security; security; firewall (computing); internet protocol suite; cybersecurity; enterprise private network","Introduction to Cyber Security",3.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[6.8,16.9]","[NULL]","English","computer-science","computer-security-and-networks","kvJV81gsEee3Pgp2nTHT2A"]
["Computer Networking","Network Security","Information Security: Context and Introduction","University of London","Intermediate",45.9,4.61,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","cryptography; incident management; encryption; cybersecurity; security; management; information security; null character; network security; security management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,80.7]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["Computer Networking","Network Security","Network Security & Database Vulnerabilities","IBM","Intermediate",12.9,4.48,"https://www.coursera.org/learn/network-security-database-vulnerabilities","This course gives you the background needed to understand basic network security.  You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics.  You will learn how networking affects security systems within an organization.  You will learn the network components that guard an organization from cybersecurity attacks.\\n\\nIn addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch.  \\n\\nYou will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.","data management; digital forensics; information security; security; penetration test; database; network security; oracle database; cybersecurity; linux","IT Fundamentals for Cybersecurity",4.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[7,18.5]","[NULL]","English","information-technology","security","3pCB7HgGEem9bArpYNDHGA"]
["Computer Networking","Network Security","Introduction to Cybersecurity Tools & Cyber Attacks","IBM","Intermediate",18.7,4.37,"https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks","This course gives you the background needed to understand basic Cybersecurity.  You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals.  Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.\\n\\nYou will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.\\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge.  More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","cyberattacks; incident management; digital forensics; forensics; encryption; cryptography; security; management; cybersecurity; penetration test","IT Fundamentals for Cybersecurity",1.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[11.1,23.3]","[NULL]","English","information-technology","cloud-computing","0FMl8S8GEemvsQrYkluC5g"]
["Computer Networking","Networking Hardware","Technical Support Fundamentals","Google","Beginner",19.9,4.79,"https://www.coursera.org/learn/technical-support-fundamentals","This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you’ll be introduced to the world of Information Technology, or IT. You’ll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what’s to come in this certificate program.\\n\\nBy the end of this course, you’ll be able to:\\n● understand how the binary system works\\n● assemble a computer from scratch\\n● choose and install an operating system on a computer\\n● understand what the Internet is, how it works, and the impact it has in the modern world\\n● learn how applications are created and how they work under the hood of a computer\\n● utilize common problem-solving methodologies and soft skills in an Information Technology setting","software; linux; PC Hardware; Software Installation; Troubleshooting; binary code; customer; linux software; customer support; operating system","Google IT Support",1.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[12.2,23.4]","Spanish; Portuguese","English","information-technology","support-and-operations","7sBiclFIEeetjQ5ppGVTyA"]
["Computer Networking","Networking Hardware","The Bits and Bytes of Computer Networking","Google","Beginner",23.3,4.68,"https://www.coursera.org/learn/computer-networking","This course is designed to provide a full overview of computer networking. We’ll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting. \\n\\nBy the end of this course, you’ll be able to:\\n● describe computer networks in terms of a five-layer model\\n● understand all of the standard protocols involved with TCP/IP communications\\n● grasp powerful network troubleshooting tools and techniques\\n● learn network services like DNS and DHCP that help make computer networks run\\n● understand cloud computing, everything as a service, and cloud storage","ipv4; cloud computing; computer network; Troubleshooting; ipv6 address; modeling; domain name system; network model; wireless; network layer","Google IT Support",2.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[13.8,34.2]","Spanish; Portuguese; Arabic","English","information-technology","networking","X2bX61doEeerkQ5vdwUqtA"]
["Computer Networking","Networking Hardware","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",16.9,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","microcontroller; internet protocol; communications protocol; internet of things; internet; Embedded System Design; network protocols; Wireshark; systems design; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.8,24.2]","Arabic; Spanish; Vietnamese","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["Computer Networking","Software-Defined Networking","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Computer Networking","Software-Defined Networking","Software Defined Networking","The University of Chicago","Advanced",47.1,4.62,"https://www.coursera.org/learn/sdn","In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.","Cisco; software-defined networking; jenkins (software); network security; multiprotocol label switching; openflow; routing; telecommunications network; cellular network; voice over ip","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[28.4,63.5]","[NULL]","English","computer-science","computer-security-and-networks","mEvpo36FEeW53BJEfL52qQ"]
["Computer Networking","Software-Defined Networking","TCP/IP and Advanced Topics","University of Colorado System","Advanced",7.6,4.54,"https://www.coursera.org/learn/tcp-ip-advanced","In this course, we give an in-depth study of the TCP/IP protocols. We examine the details of how IP enables communications across a collection of networks. We pay particular attention to the hierarchical structure of IP addresses and explain their role in ensuring scalability of the Internet. The role of address prefixes and the uses of masks are explained in details. We review in details about TCP three-way handshake, flow control, and congestion control. Furthermore, we provide an introduction to some advanced topics, including Multicast, SDN and security","network congestion; mobile ip; subnetwork; multicast; ip address; transmission control protocol; openflow; internet protocol suite; internet; internet protocol","Computer Communications",4.0,"https://www.coursera.org/specializations/computer-communications","This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.","[2.9,9.4]","[NULL]","English","computer-science","computer-security-and-networks","KfuykmTsEeeqbxLIz9M6nA"]
["Computer Networking","Software-Defined Networking","Intel® Network Academy - Network Transformation 101","Intel","Beginner",29.7,4.44,"https://www.coursera.org/learn/network-transformation-101","Welcome to the Intel® Network Academy – a comprehensive training program on network transformation.  In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond. The Network Academy includes a broad collection of online content and technical training aimed to assist technical professionals in the network industry to improve their knowledge of key Intel® technologies, industry trends, and technical aspects of NFV deployments.","euler's totient function; software-defined networking; digital signal processing; computer network; virtualization software; network function virtualization; computer network programming; internet; internet of things; embedded c","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.7,39.9]","[NULL]","English","information-technology","networking","pQ2CC7UQEeigigpB_Gk51A"]
["Computer Networking","Software-Defined Networking","Intel® Network Academy - Network Transformation 102","Intel","Beginner",25.8,4.43,"https://www.coursera.org/learn/network-transformation-102","Welcome to the Intel® Network Academy – a comprehensive training program on network transformation.  In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond. The Network Academy includes a broad collection of online content and technical training aimed to assist technical professionals in the network industry to improve their knowledge of key Intel® technologies, industry trends, and technical aspects of NFV deployments.","single-root input/output virtualization; integration testing; rapidio; specification (technical standard); i/o virtualization; data plane development kit; euler's totient function; latex; network function virtualization; openstack","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.6,40.2]","[NULL]","English","information-technology","networking","ndapzR5iEemGig7OO3_EEA"]
["Computer Networking","Software-Defined Networking","Cloud Networking","University of Illinois at Urbana-Champaign","Intermediate",18.9,4.41,"https://www.coursera.org/learn/cloud-networking","In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network’s future.\\n\\nThis course will allow us to explore in-depth the challenges for cloud networking—how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course.\\n\\nThis course places an emphasis on both operations and design rationale—i.e., how things work and why they were designed this way. We're excited to start the course with you and take a look inside what has become the critical communications infrastructure for many applications today.","distributed computing; software-defined networking; virtual machine; Switches; cloud computing; microsoft azure; cloud infrastructure; python programming; tcp congestion control; table of keyboard shortcuts","Cloud Computing",5.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[12.2,22.9]","Korean","English","computer-science","computer-security-and-networks","BpXc5-SWEeWThQoLOXqDhw"]
["Databases","Best Courses","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Databases","Best Courses","Software Design as an Abstraction","University of Colorado System","Advanced",8.1,4.86,"https://www.coursera.org/learn/software-design-abstraction","The design step in developing software has some unique characteristics.  First of all, it’s the only step where drawing pictures of things is the norm.  Why is that?  What do pictures do that other representations cannot do?  Pictures have varying levels of detail; pictures have context.  Pictures…paint a picture.  Why are these things important?  In this course, too, we begin looking at other disciplines (building architecture is a favorite one) for lessons on design.","internet slang; user experience; user interface design; design pattern; database; software development; front and back ends; operating system; software design; database design","Secure Software Design",2.0,"https://www.coursera.org/specializations/secure-software-design","Information security is an extremely important topic in our world today. As individuals, we seek to protect our personal information while the corporations we work for have to protect suppliers, customers, and company assets. Creating secure software requires implementing secure practices as early in the software development lifecycle (SDLC) as possible.\\n\\nThis Specialization focuses on ensuring security as part of software design and is for anyone with some workplace experience in software development who needs the background, perspective, and skills to recognize important security aspects of software design.\\n\\nYou’ll consider secure design for multiple SDLC models, software architecture considerations, and design patterns. You’ll understand how to identify and implement secure design when considering databases, UML, unit testing, and ethics. Mindsets and attitudes of successful designers—and hackers—are presented as well as project successes and failures.\\n\\nAlways at the core of front-end design will be user experience and you will have the opportunity to ensure clean and effective user interfaces that also serve to provide the best security. Back-end development topics such as database design are also covered.","[2.6,11.2]","[NULL]","English","computer-science","software-development","JJwS82OTEeeHUQ7JlgRprA"]
["Databases","Best Courses","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Databases","Best Courses","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Databases","Best Courses","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Databases","Best Courses","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Databases","Best Courses","Relational Database Support for Data Warehouses","University of Colorado System","Advanced",23.7,4.6,"https://www.coursera.org/learn/dwrelational","Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.","modulo operation; relational database; business intelligence; sql; data warehousing; query rewriting; euler's totient function; data uri scheme; materialized view; database","Data Warehousing for Business Intelligence",3.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[8.6,35]","[NULL]","English","data-science","data-analysis","xRA5cxnoEeWg_RJGAuFGjw"]
["Databases","Best Courses","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Databases","Best Courses","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Databases","Best Courses","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Databases","Database Administration","Relational Database Support for Data Warehouses","University of Colorado System","Advanced",23.7,4.6,"https://www.coursera.org/learn/dwrelational","Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.","modulo operation; relational database; business intelligence; sql; data warehousing; query rewriting; euler's totient function; data uri scheme; materialized view; database","Data Warehousing for Business Intelligence",3.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[8.6,35]","[NULL]","English","data-science","data-analysis","xRA5cxnoEeWg_RJGAuFGjw"]
["Databases","Database Administration","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Databases","Database Design","Software Design as an Abstraction","University of Colorado System","Advanced",8.1,4.86,"https://www.coursera.org/learn/software-design-abstraction","The design step in developing software has some unique characteristics.  First of all, it’s the only step where drawing pictures of things is the norm.  Why is that?  What do pictures do that other representations cannot do?  Pictures have varying levels of detail; pictures have context.  Pictures…paint a picture.  Why are these things important?  In this course, too, we begin looking at other disciplines (building architecture is a favorite one) for lessons on design.","internet slang; user experience; user interface design; design pattern; database; software development; front and back ends; operating system; software design; database design","Secure Software Design",2.0,"https://www.coursera.org/specializations/secure-software-design","Information security is an extremely important topic in our world today. As individuals, we seek to protect our personal information while the corporations we work for have to protect suppliers, customers, and company assets. Creating secure software requires implementing secure practices as early in the software development lifecycle (SDLC) as possible.\\n\\nThis Specialization focuses on ensuring security as part of software design and is for anyone with some workplace experience in software development who needs the background, perspective, and skills to recognize important security aspects of software design.\\n\\nYou’ll consider secure design for multiple SDLC models, software architecture considerations, and design patterns. You’ll understand how to identify and implement secure design when considering databases, UML, unit testing, and ethics. Mindsets and attitudes of successful designers—and hackers—are presented as well as project successes and failures.\\n\\nAlways at the core of front-end design will be user experience and you will have the opportunity to ensure clean and effective user interfaces that also serve to provide the best security. Back-end development topics such as database design are also covered.","[2.6,11.2]","[NULL]","English","computer-science","software-development","JJwS82OTEeeHUQ7JlgRprA"]
["Databases","Database Design","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Databases","Database Design","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Databases","Database Design","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Databases","Database Design","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Databases","Database Design","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Databases","Database Design","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Databases","Database Design","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Intermediate",28.0,4.42,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","relational database; database; design pattern; data uri scheme; data integration; extract, transform, load; pentaho; data warehousing; talend; data cube","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[10.8,43.7]","[NULL]","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["Databases","Database Theory","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Databases","Database Theory","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Databases","Database Theory","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Databases","Database Theory","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Databases","NoSQL","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Databases","NoSQL","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Databases","NoSQL","Cloud Computing Concepts: Part 2","University of Illinois at Urbana-Champaign","Intermediate",24.5,4.58,"https://www.coursera.org/learn/cloud-computing-2","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.\\n\\nThis course builds on the material covered in the Cloud Computing Concepts, Part 1 course.","apache zookeeper; bully algorithm; graphs; concurrency control; mutual exclusion; streams; distributed computing; cloud computing; stream processing; file system","Cloud Computing",2.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[15.9,36.5]","Korean","English","computer-science","algorithms","9tZaH-SOEeWVyArzYsqChQ"]
["Databases","NoSQL","Network Security & Database Vulnerabilities","IBM","Intermediate",12.9,4.48,"https://www.coursera.org/learn/network-security-database-vulnerabilities","This course gives you the background needed to understand basic network security.  You will learn the about Local Area Networks, TCP/IP, the OSI Framework and routing basics.  You will learn how networking affects security systems within an organization.  You will learn the network components that guard an organization from cybersecurity attacks.\\n\\nIn addition to networking, you will learn about database vulnerabilities and the tools/knowledge needed to research a database vulnerability for a variety of databases including SQL Injection, Oracle, Mongo and Couch.  \\n\\nYou will learn about various security breach types associated with databases and organizations that define standards and provide tools for cybersecurity professionals.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Network Security/Database Vulnerabilities or as the fourth course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.","data management; digital forensics; information security; security; penetration test; database; network security; oracle database; cybersecurity; linux","IT Fundamentals for Cybersecurity",4.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[7,18.5]","[NULL]","English","information-technology","security","3pCB7HgGEem9bArpYNDHGA"]
["Databases","NoSQL","Big Data Modeling and Management Systems","University of California San Diego","Beginner",15.0,4.35,"https://www.coursera.org/learn/big-data-management","Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?  In this course, you will experience various data genres and management tools appropriate for each.  You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.  Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.  Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.\\n\\nAt the end of this course, you will be able to:\\n * Recognize different data elements in your own work and in everyday life problems\\n * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design\\n * Identify the frequent data operations required for various types of data\\n * Select a data model to suit the characteristics of your data \\n * Apply techniques to handle streaming data\\n * Differentiate between a traditional Database Management System and a Big Data Management System\\n * Appreciate why there are so many data management systems\\n * Design a big data information system for an online game company\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","data segment; modeling; data model; management; data uri scheme; database; data management; data modeling; big data; management systems","Big Data",2.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.9,17.9]","Korean","English","data-science","data-analysis","cvqIZNmpEeW6jg7jFY56EQ"]
["Databases","NoSQL","Big Data Integration and Processing","University of California San Diego","Beginner",22.9,4.35,"https://www.coursera.org/learn/big-data-integration-processing","At the end of the course, you will be able to:\\n\\n*Retrieve data from example database and big data management systems \\n*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications\\n*Identify when a big data problem needs data integration\\n*Execute simple big data integration and processing on Hadoop and Spark platforms\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","sql; analysis; big data; data uri scheme; apache spark; mongodb; data integration; data analysis; postgresql; splunk","Big Data",3.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[11.7,35]","Korean","English","data-science","data-analysis","uWrCG9mpEeWkdgqomU4otw"]
["Databases","NoSQL","Ruby on Rails Web Services and Integration with MongoDB","Johns Hopkins University","Intermediate",25.3,4.35,"https://www.coursera.org/learn/ruby-on-rails-web-services-mongodb","In this course, we will explore MongoDB, a very popular NoSQL database and Web Services concepts and integrate them both with Ruby on Rails. MongoDB is a used to handle documents with a pre-defined schema which will give the developers an ability to store, process and use data using it’s rich API. The modules will go in-depth from installation to CRUD operations, aggregation, indexing, GridFS and various other topics where we continuously integrate MongoDB with RailsRuby.  We will be covering the interface to MongoDB using the Mongo Ruby API and the Mongoid ORM framework (the MongoDB access counterpart to RDBMS/ActiveRecord within Rails).  The last portion of the course will focus on Web Services with emphasis on REST, its architectural style and integration of Web Services with Rails.  Core concepts of Web Services like request/response, filters, data representation (XML/JSON), web linking and best practices will covered in depth.\\n\\nThis course is ideal for students and professionals who have some programming experience and a working knowledge of databases.","web service; application programming interfaces; nosql; ruby (programming language); mongodb; ruby on rails; web; ws-security; relational database management system; create, read, update and delete","Ruby on Rails Web Development",3.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[16.6,31.9]","[NULL]","English","computer-science","software-development","eXbmvDe9EeWO-Qq6rEZAow"]
["Databases","NoSQL","Cloud Computing Concepts, Part 1","University of Illinois at Urbana-Champaign","Intermediate",38.7,4.34,"https://www.coursera.org/learn/cloud-computing","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.","mapreduce; gossip; cloud computing; distributed computing; algorithms; integration testing; c++; multicast; distributed algorithm; gossip protocol","Cloud Computing",1.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[26.8,44.8]","Korean","English","computer-science","algorithms","op_vMOGiEeWr4g7T_DyXNw"]
["Databases","NoSQL","Data Manipulation at Scale: Systems and Algorithms","University of Washington","Advanced",20.1,4.28,"https://www.coursera.org/learn/data-manipulation","Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it.  Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively.  The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.\\n\\nIn this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon.   Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered.\\n\\nYou will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project.  At the end of this course, you will be able to:\\n\\nLearning Goals: \\n1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields.\\n2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models.\\n3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics\\n4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends.\\n5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark.  You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages.\\nwrite programs in Spark\\n6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams","nosql; sql; algebra; python programming; data uri scheme; sigma-algebra; database; relational algebra; computer programming; mapreduce","Data Science at Scale",1.0,"https://www.coursera.org/specializations/data-science","Learn scalable data management, evaluate big data technologies, and design effective visualizations.\\n\\nThis Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project.","[13.7,24.3]","[NULL]","English","data-science","data-analysis","zfksZy_FEeWWqBIFfWmDPQ"]
["Databases","SQL","SQL for Data Science Capstone Project","University of California, Davis","Intermediate",16.8,5.0,"https://www.coursera.org/learn/sql-data-science-capstone","Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.\\n\\nWhether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL  querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this specialization. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Along the way, you will receive feedback through the peer-review process. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management.","Multimedia Design; sql commands; sqlite; computational statistics; mysql; database; statistical algorithms; data hierarchy; sql; star schema","Learn SQL Basics for Data Science",4.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[10.5,21]","[NULL]","English","data-science","data-analysis","y9cRQS5YEemZvxKL2M8ZqA"]
["Databases","SQL","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Databases","SQL","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Databases","SQL","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Databases","SQL","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Databases","SQL","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Databases","SQL","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Databases","SQL","Project: Introduction to Relational Database and SQL","Rhyme","Beginner",1.2,4.54,"https://www.coursera.org/learn/introduction-to-relational-database-and-sql","In this guided project, you will get hands-on experience working with a relational database using MySQL Workbench from Oracle. The basic knowledge you learn will allow you to work with any other relational database.\\n\\nAt the end of this project, you will be able to create a billing report and a club member roster.","database design; wildcard character; database; sql; pattern matching; sorting; computer science; relational database; ordered pair; associative entity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[0.5,1.6]","[NULL]","English","computer-science","software-development","fX09y2rrEeqiFw7cJ4AFnw"]
["Databases","SQL","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Operating Systems","Best Courses","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Operating Systems","Best Courses","Information Systems Auditing, Controls and Assurance","The Hong Kong University of Science and Technology","Beginner",9.9,4.75,"https://www.coursera.org/learn/information-systems-audit","Information systems (IS) are important assets to business organizations and are ubiquitous in our daily lives. \\n\\nWith the latest IS technologies emerging, such as Big Data, FinTech, Virtual Banks, there are more concerns from the public on how organizations maintain systems’ integrity, such as data privacy, information security, the compliance to the government regulations. Management in organizations also need to be assured that systems work the way they expected. IS auditors play a crucial role in handling these issues.\\n\\nIn the course “Information Systems Auditing, Controls and Assurance”, you will explore risks of information systems, and how to mitigate the risks by proper IS Controls. You will also get familiar with the IS Audit procedures and how they are applied during the IS development throughout the Systems Development Life Cycle (SDLC). \\n\\nFinally, you will get to observe how we can make the system changes more manageable using formal IS Management practices, such as Change Management Controls and Emergency Changes. \\n\\nThe conversations between the course instructor - Prof. Percy Dias, and the IS auditing practitioner will give you a concrete idea on how IS auditors perform their duties, the qualities to become IS auditors and future prospects of IS auditing industry.\\n\\nThis course is suitable for students and graduates from Information Systems, Information Technology and Computer Science, and IT practitioners who are interested to get into the IS auditing field. It is also a good starting point for learners who would like to pursue further studies for IS audit certifications – such as Certified Information Systems Auditor (CISA).","internal control; audit; internal audit; information technology audit; information technology security audit; management information system; information technology; security; information security; financial technology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,13.3]","[NULL]","English","information-technology","security","rpgDo3bvEemI3hKEZBIFgg"]
["Operating Systems","Best Courses","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Operating Systems","Best Courses","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",16.9,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","microcontroller; internet protocol; communications protocol; internet of things; internet; Embedded System Design; network protocols; Wireshark; systems design; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.8,24.2]","Arabic; Spanish; Vietnamese","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["Operating Systems","Best Courses","Cybersecurity Roles, Processes & Operating System Security","IBM","Intermediate",15.2,4.56,"https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security","This course gives you the background needed to understand basic Cybersecurity  around people. process and technology.  You will learn:\\n\\n●\\t Understand the key cybersecurity roles within an Organization. \\n●\\t List key cybersecurity processes and an example of each process.\\n●\\t Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile.\\n●\\t Understand the concept of Virtualization as it relates to cybersecurity \\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge.  More information about the badge can be found here:   https://www.youracclaim.com/org/ibm/badge/cybersecurity-roles-processes-operating-system-security","itil; network security; cloud computing; penetration test; linux; cyber-security regulation; security; forensics; cybersecurity; operating system","IT Fundamentals for Cybersecurity",2.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[5.9,23.7]","[NULL]","English","information-technology","security","BrizCVfcEemQ5QpVooi_CA"]
["Operating Systems","System Security","Information Systems Auditing, Controls and Assurance","The Hong Kong University of Science and Technology","Beginner",9.9,4.75,"https://www.coursera.org/learn/information-systems-audit","Information systems (IS) are important assets to business organizations and are ubiquitous in our daily lives. \\n\\nWith the latest IS technologies emerging, such as Big Data, FinTech, Virtual Banks, there are more concerns from the public on how organizations maintain systems’ integrity, such as data privacy, information security, the compliance to the government regulations. Management in organizations also need to be assured that systems work the way they expected. IS auditors play a crucial role in handling these issues.\\n\\nIn the course “Information Systems Auditing, Controls and Assurance”, you will explore risks of information systems, and how to mitigate the risks by proper IS Controls. You will also get familiar with the IS Audit procedures and how they are applied during the IS development throughout the Systems Development Life Cycle (SDLC). \\n\\nFinally, you will get to observe how we can make the system changes more manageable using formal IS Management practices, such as Change Management Controls and Emergency Changes. \\n\\nThe conversations between the course instructor - Prof. Percy Dias, and the IS auditing practitioner will give you a concrete idea on how IS auditors perform their duties, the qualities to become IS auditors and future prospects of IS auditing industry.\\n\\nThis course is suitable for students and graduates from Information Systems, Information Technology and Computer Science, and IT practitioners who are interested to get into the IS auditing field. It is also a good starting point for learners who would like to pursue further studies for IS audit certifications – such as Certified Information Systems Auditor (CISA).","internal control; audit; internal audit; information technology audit; information technology security audit; management information system; information technology; security; information security; financial technology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,13.3]","[NULL]","English","information-technology","security","rpgDo3bvEemI3hKEZBIFgg"]
["Operating Systems","System Security","Cybersecurity Roles, Processes & Operating System Security","IBM","Intermediate",15.2,4.56,"https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security","This course gives you the background needed to understand basic Cybersecurity  around people. process and technology.  You will learn:\\n\\n●\\t Understand the key cybersecurity roles within an Organization. \\n●\\t List key cybersecurity processes and an example of each process.\\n●\\t Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile.\\n●\\t Understand the concept of Virtualization as it relates to cybersecurity \\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the second course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Cybersecurity Roles, Processes & Operating System Security IBM digital badge.  More information about the badge can be found here:   https://www.youracclaim.com/org/ibm/badge/cybersecurity-roles-processes-operating-system-security","itil; network security; cloud computing; penetration test; linux; cyber-security regulation; security; forensics; cybersecurity; operating system","IT Fundamentals for Cybersecurity",2.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[5.9,23.7]","[NULL]","English","information-technology","security","BrizCVfcEemQ5QpVooi_CA"]
["Operating Systems","System Security","Proactive Computer Security","University of Colorado System","Intermediate",9.5,4.46,"https://www.coursera.org/learn/proactive-computer-security","I’ve heard this before – “I’m not sure my computer security practices are working”.  I reply “Have you tested them?”  This course is the fourth and final course in the Practical Computer Security specialization.  In this course, you’ll learn how to proactively test what you have put in place to protect your data.  In the first week you’ll be able to discuss the basics of deterrents and how to “trick” attackers into believing they’ve hit a goldmine of data away from your real systems.  In week 2, you’ll be able to understand and discuss the steps of penetration testing methodology.  In week 3, you will be able to understand and apply what you have learned on your own systems to test whether your systems are secure or not.  In week 4, we’ll discuss planning for your own methodology that you can apply to your own systems.  And finally in week 5, we’ll finish up with a project that will allow you to test your skills in a safe environment.","penetration test; information security; nmap; certified information systems security professional; owasp; information hiding; cybersecurity; security management; computer fraud and abuse act; metasploit project","Cybersecurity for Business",4.0,"https://www.coursera.org/specializations/cyber-security-business","It seems anymore that you can't listen to the news without hearing of a data breach. You may have heard it said before that there are 2 types of companies out there, the ones who have been breached and those who will be breached. Defending against attackers who want to compromise assets can seem like an arduous task, but learning how attacks work and more importantly how to defend against those attacks can be very fulfilling. This specialization is designed to introduce you to practical computer security by teaching you the fundamentals of how you use security in the business world. This course is for those who want to understand how to defend computer systems and assets from attackers and other threats. It is also for those who want to understand how threats and attacks are carried out to help better defend their systems. This specialization is designed for senior business leaders to middle management and system administrators, so they can all speak the same language and get a better handle on their organization's security. Additionally, the course material may help you in passing some industry leading computer security examinations such as Security+ and CISSP.","[4.4,13.7]","[NULL]","English","information-technology","security","eLWeYLmLEeaHhwpEISB4Yg"]
["Operating Systems","System Software","Introduction to Embedded Systems Software and Development Environments","University of Colorado Boulder","Advanced",26.4,4.4,"https://www.coursera.org/learn/introduction-embedded-systems","Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine. The course concludes with a project where you will create your own build system and firmware that can manipulate memory.\\n\\nThe second course in this 2 course series , Embedded Software and Hardware Architecture,  will use hardware tools to program and debug microcontrollers with bare-metal firmware. Using a Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write numerous programs, and see your work execute on your own embedded platform!","compiler; microcontroller; Electrical Engineering; micro-controller operating systems; arm; embedded linux; makefile; architecture; embedded c; arm architecture","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.7,35.5]","[NULL]","English","physical-science-and-engineering","electrical-engineering","sMFd0muvEea_2g4jvCTCSQ"]
["Operating Systems","Systems Design","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Operating Systems","Systems Design","Reliable Google Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.3,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.\\n\\nThis course teaches participants the following skills:\\n● Apply a tool set of questions, techniques, and design considerations\\n● Define application requirements and express them objectively as KPIs, SLOs and SLIs\\n● Decompose application requirements to find the right microservice boundaries\\n● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines\\n● Choose the appropriate Cloud Storage services based on application requirements\\n● Architect cloud and hybrid networks\\n● Implement reliable, scalable, resilient applications balancing key performance metrics with cost\\n● Choose the right Google Cloud deployment services for your applications\\n● Secure cloud applications, data, and infrastructure\\n● Monitor service level objectives and costs using Google Cloud tools\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","security; cloud platforms; google; cloud infrastructure; site reliability engineering; reliability engineering; google cloud platform; deployment environment; process; cloud computing","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.6,14.2]","[NULL]","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Operating Systems","Systems Design","Introduction to Self-Driving Cars","University of Toronto","Intermediate",25.1,4.66,"https://www.coursera.org/learn/intro-self-driving-cars","Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. \\n\\nThis course will introduce you to the terminology, design considerations and safety assessment of self-driving cars.  By the end of this course, you will be able to: \\n- Understand commonly used hardware used for self-driving cars\\n- Identify the main components of the self-driving software stack\\n- Program vehicle modelling and control  \\n- Analyze the safety frameworks and current industry practices for vehicle development\\n\\nFor the final project in this course, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path tracking performance using Python. You’ll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance.\\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).\\n\\nYou will also need certain hardware and software specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","integration testing; computer programming; autonomous cars; software architecture; computer vision; null character; mathematical model; python programming; safety assurance","Self-Driving Cars",1.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[17,31.1]","Spanish","English","computer-science","software-development","p2jYHVPxEein9xItvIlMSA"]
["Operating Systems","Systems Design","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",16.9,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","microcontroller; internet protocol; communications protocol; internet of things; internet; Embedded System Design; network protocols; Wireshark; systems design; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.8,24.2]","Arabic; Spanish; Vietnamese","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["Operating Systems","Systems Design","Introduction to Embedded Systems Software and Development Environments","University of Colorado Boulder","Advanced",26.4,4.4,"https://www.coursera.org/learn/introduction-embedded-systems","Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine. The course concludes with a project where you will create your own build system and firmware that can manipulate memory.\\n\\nThe second course in this 2 course series , Embedded Software and Hardware Architecture,  will use hardware tools to program and debug microcontrollers with bare-metal firmware. Using a Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write numerous programs, and see your work execute on your own embedded platform!","compiler; microcontroller; Electrical Engineering; micro-controller operating systems; arm; embedded linux; makefile; architecture; embedded c; arm architecture","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.7,35.5]","[NULL]","English","physical-science-and-engineering","electrical-engineering","sMFd0muvEea_2g4jvCTCSQ"]
["Operating Systems","Systems Design","Site Reliability Engineering: Measuring and Managing Reliability","Google Cloud","Advanced",21.6,4.29,"https://www.coursera.org/learn/site-reliability-engineering-slos","This course teaches the theory of Service Level Objectives (SLOs), a principled way of describing and measuring the desired reliability of a service. Upon completion, learners should be able to apply these principles to develop the first SLOs for services they are familiar with in their own organizations.\\n\\nLearners will also learn how to use Service Level Indicators (SLIs) to quantify reliability and Error Budgets to drive business decisions around engineering for greater reliability.  The learner will  understand the components of a meaningful SLI and walk through the process of developing SLIs and SLOs for an example service.","systems design; architecture; safety engineering; hope; reliability engineering; site reliability engineering; user journey; gratitude; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,27.1]","Spanish","English","information-technology","cloud-computing","zMg9YpBtEeiWbhI9enrBdA"]
["Operating Systems","Systems Design","Architecting Smart IoT Devices","EIT Digital","Advanced",27.7,4.27,"https://www.coursera.org/learn/iot-architecture","This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards and networks. You'll also learn how to actually use and integrate these components.\\n\\nAt the end of the course you will be ready to start architecting and implementing your own embedded device! You'll learn how to debug and finetune your device and how to make it run on a low power supply.","web; bluetooth; cross-site scripting; system f; internet of things; component-based software engineering; freertos; smartphones; application security; software development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.1,41.4]","[NULL]","English","computer-science","computer-security-and-networks","Yanhq-pzEeWvGQrWsIkLlw"]
["Computer Architecture","Best Courses","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Computer Architecture","Best Courses","Sensor Manufacturing and Process Control","University of Colorado Boulder","Intermediate",25.6,4.88,"https://www.coursera.org/learn/sensor-manufacturing-process-control","Sensor Manufacturing and Process Control can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled \"Sensors and Sensor Circuits\", our second course entitled \"Motor and Motor Control Circuits\", and our third course entitled \"Pressure, Force, Motion, and Humidity Sensors\". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit.\\n\\nYou will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how sensor manufacturers characterize and calibrate their sensors.\\n●\\tTune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application.  \\n●\\tUnderstand manufacturing methods used to build electro-mechanical and micro-machined sensors.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\n\\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. All are quantity one except for N107-ND where you need three, and 493-15371-ND where you need two. \\n\\n428-3390-ND\\nP14355-ND\\nFQU13N10LTU-ND\\nN107-ND\\n1N5393-E3/54GICT-ND \\nRNF14FTD1K00CT-ND \\nP0.62W-1BK-ND\\n493-15371-ND","process control; electronics; microsoft excel; Pressure Sensor; materials; internet of things; Mechatronics; manufacturing process management; software engineering; Microelectronics","Embedding Sensors and Motors",4.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[15.1,29]","[NULL]","English","physical-science-and-engineering","electrical-engineering","kWmOtoOVEeibxhKbPkCY-A"]
["Computer Architecture","Best Courses","Computer Architecture","Princeton University","Advanced",32.8,4.78,"https://www.coursera.org/learn/comparch","In this course, you will learn to design the computer architecture of complex modern microprocessors.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","computer science; compiler construction; operating system; physics; c programming; java programming; Computer Engineering; compiler; architecture; quantum computing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.4,37.4]","[NULL]","English","physical-science-and-engineering","electrical-engineering","Ckas6KfpEeS3eyIACw6YLg"]
["Computer Architecture","Best Courses","Motors and Motor Control Circuits","University of Colorado Boulder","Advanced",14.1,4.57,"https://www.coursera.org/learn/motors-circuits-design","This course can also be taken for academic credit as ECEA 5341, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our second course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This second course assumes that you already know how to use the kit.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper AC or DC motor for a machine design.\\n●\\tIntegrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed.\\n●\\tImplement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software.\\n●\\tAdd a motor and motor control circuit into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process motor feedback data to a microprocessor for further evaluation.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. \\n\\nThese are the part numbers for the above table, the lab on Motor Voltage and Current Measurement. You can copy and paste them into the search engine on the Digikey web site. You need one of each except for the AA batteries (N107-ND), which you would need 3.\\n\\n428-3390-ND\\nP14355-ND\\nFQU13N10LTU-ND\\nN107-ND\\n1N5393-E3/54GICT-ND \\nRNF14FTD1K00CT-ND \\nP0.62W-1BK-ND\\n\\n\\nThese are the part numbers for the above table, so you can copy and paste them into the search engine on the Digikey web site. You will need one of each.\\n\\n428-3390-ND\\n987-1188-ND","materials; Electromechanical Systems; internet of things; Metal Framing; Concrete Mixing; Actuators; analysis; electronics; Mechatronics; Electrical Engineering","Embedding Sensors and Motors",2.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[2.9,18.9]","[NULL]","English","physical-science-and-engineering","electrical-engineering","-i5RF2jdEeecwwoEvbWpsg"]
["Computer Architecture","Distributed Computing Architecture","Cloud Computing Concepts, Part 1","University of Illinois at Urbana-Champaign","Intermediate",38.7,4.34,"https://www.coursera.org/learn/cloud-computing","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.","mapreduce; gossip; cloud computing; distributed computing; algorithms; integration testing; c++; multicast; distributed algorithm; gossip protocol","Cloud Computing",1.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[26.8,44.8]","Korean","English","computer-science","algorithms","op_vMOGiEeWr4g7T_DyXNw"]
["Computer Architecture","Distributed Computing Architecture","Distributed Computing with Spark SQL","University of California, Davis","Advanced",17.1,4.21,"https://www.coursera.org/learn/spark-sql","This course is for students with SQL experience and now want to take the next step in gaining familiarity with distributed computing using Spark. Students will gain an understanding of when to use Spark and how Spark as an engine uniquely combines Data and AI technologies at scale. The four modules build on one another and by the end of the course the student will understand: Spark architecture, Spark DataFrame, optimizing reading/writing data, and how to build a machine learning model. The first module will introduce Spark, including how Spark works with distributed computing and what are Spark Dataframes. Module 2 covers the core concepts of Spark such as storage vs. computing, caching, partitions and Spark UI. The third module looks at Engineering Data Pipelines covering connecting to databases, schemas and type, file formats and writing good data. The final module looks at the application of Spark with Machine Learning through the business use case, a short introduction to what machine learning is, building and applying models and a final course conclusion. By understanding when to use Spark, either scaling out when the model or data is too large to process on a single machine, or having a need to simply speed up to get faster results, students will hone their SQL skills and become a more adept Data Scientist.","mathematical optimization; flow network; Multimedia Design; information engineering; architecture; mysql; distributed computing; sql commands; sql; performance","Learn SQL Basics for Data Science",3.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[10,25.9]","[NULL]","English","data-science","machine-learning","iUelXZBPEeiT0BLc0vrn3A"]
["Computer Architecture","Hardware Design","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Computer Architecture","Hardware Design","Sensor Manufacturing and Process Control","University of Colorado Boulder","Intermediate",25.6,4.88,"https://www.coursera.org/learn/sensor-manufacturing-process-control","Sensor Manufacturing and Process Control can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled \"Sensors and Sensor Circuits\", our second course entitled \"Motor and Motor Control Circuits\", and our third course entitled \"Pressure, Force, Motion, and Humidity Sensors\". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit.\\n\\nYou will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how sensor manufacturers characterize and calibrate their sensors.\\n●\\tTune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application.  \\n●\\tUnderstand manufacturing methods used to build electro-mechanical and micro-machined sensors.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\n\\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. All are quantity one except for N107-ND where you need three, and 493-15371-ND where you need two. \\n\\n428-3390-ND\\nP14355-ND\\nFQU13N10LTU-ND\\nN107-ND\\n1N5393-E3/54GICT-ND \\nRNF14FTD1K00CT-ND \\nP0.62W-1BK-ND\\n493-15371-ND","process control; electronics; microsoft excel; Pressure Sensor; materials; internet of things; Mechatronics; manufacturing process management; software engineering; Microelectronics","Embedding Sensors and Motors",4.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[15.1,29]","[NULL]","English","physical-science-and-engineering","electrical-engineering","kWmOtoOVEeibxhKbPkCY-A"]
["Computer Architecture","Hardware Design","Motors and Motor Control Circuits","University of Colorado Boulder","Advanced",14.1,4.57,"https://www.coursera.org/learn/motors-circuits-design","This course can also be taken for academic credit as ECEA 5341, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our second course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This second course assumes that you already know how to use the kit.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper AC or DC motor for a machine design.\\n●\\tIntegrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed.\\n●\\tImplement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software.\\n●\\tAdd a motor and motor control circuit into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process motor feedback data to a microprocessor for further evaluation.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. \\n\\nThese are the part numbers for the above table, the lab on Motor Voltage and Current Measurement. You can copy and paste them into the search engine on the Digikey web site. You need one of each except for the AA batteries (N107-ND), which you would need 3.\\n\\n428-3390-ND\\nP14355-ND\\nFQU13N10LTU-ND\\nN107-ND\\n1N5393-E3/54GICT-ND \\nRNF14FTD1K00CT-ND \\nP0.62W-1BK-ND\\n\\n\\nThese are the part numbers for the above table, so you can copy and paste them into the search engine on the Digikey web site. You will need one of each.\\n\\n428-3390-ND\\n987-1188-ND","materials; Electromechanical Systems; internet of things; Metal Framing; Concrete Mixing; Actuators; analysis; electronics; Mechatronics; Electrical Engineering","Embedding Sensors and Motors",2.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[2.9,18.9]","[NULL]","English","physical-science-and-engineering","electrical-engineering","-i5RF2jdEeecwwoEvbWpsg"]
["Computer Architecture","Hardware Design","Pressure, Force, Motion, and Humidity Sensors","University of Colorado Boulder","Advanced",16.2,4.43,"https://www.coursera.org/learn/pressure-force-motion-humidity-sensors","Pressure, Force, Motion, and Humidity Sensors can also be taken for academic credit as ECEA 5342, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our third course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This third course assumes that you already know how to use the kit.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper AC or DC motor for a machine design.\\n●\\tIntegrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed.\\n●\\tImplement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software.\\n●\\tAdd a motor and motor control circuit into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process motor feedback data to a microprocessor for further evaluation.\\n\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper pressure, force, strain, position, motion, acceleration, occupancy, and humidity sensors for taking real-time process data. \\n●\\tImplement these sensors into an embedded system in both hardware and software.\\n●\\tAdd the sensor and sensor interface into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation.\\n\\n\\nIn this course you will build the circuit from Video 7 (Lab Exercise on strain gauges), Module 2 (Force and Strain Sensors and Touch Screens), and use it to make screen shots of the timing of the switch. If you haven't already wired up the system and written all the software per the instructions of Video 7, please do so now. \\n\\nYou will need to buy the following components to complete this assignment. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\n\\nThese parts may be purchased off the Digikey web site, www. Digikey.com. One part needs to be purchased off the Sparkfun website www.sparkfun.com. Or, you may obtain the specs from the site, and purchase them elsewhere.\\n\\nDigikey Part numbers are typed out here: \\n428-3390-ND \\nCF14JT22K0CT-ND \\nCF14JT100KCT-ND \\n\\nTable shown here:\\n\\nIndex\\tQuantity\\t                      Part Number\\tDescription\\n1\\t           1\\t                           428-3390-ND\\tPSOC 5LP PROTOTYPING KIT\\n2\\t           2\\t                  CF14JT22K0CT-ND \\tRES 22K OHM 1/4W 5% AXIAL \\n3\\t           1\\t                 CF14JT100KCT-ND\\tRES 100K OHM 1/4W 5% AXIAL \\n\\n\\nSparkfun part numbers are typed out here: \\nTAL221\\n\\nTable shown here:\\n\\nIndex\\tQuantity\\t        Part Number\\t    Description\\n1\\t           1\\t                      TAL221\\t    Mini-load cell - 100g, straight bar","Scaling; Pressure Sensor; Hopper Machine; software engineering; spacecraft communication; materials; internet of things; measurement; Manometers; Mechatronics","Embedding Sensors and Motors",3.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[2.7,24.1]","[NULL]","English","physical-science-and-engineering","electrical-engineering","fO7xY4OVEeiprg7dxjhkEA"]
["Computer Architecture","Hardware Design","Sensors and Sensor Circuit Design","University of Colorado Boulder","Advanced",24.8,4.36,"https://www.coursera.org/learn/sensors-circuit-interface","This course can also be taken for academic credit as ECEA 5340, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper thermal, flow, or rotary sensor for taking real-time process data. \\n●\\tImplement thermal sensors into an embedded system in both hardware and software.\\n●\\tAdd the sensor and sensor interface into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation.\\n●\\tStudy sensor signal noise and apply proper hardware techniques to reduce it to acceptable levels.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere.\\n\\nThese are the part numbers typed out, so you can copy and paste them into the Digikey web site. You will need one of each part.\\n\\n428-3390-ND\\nNHD-0216BZ-RN-YBW-ND\\n570-1229-ND\\nA105970CT-ND","electronics; Actuators; Electrical Engineering; Oscilloscope; materials; Mechatronics; microprocessor; internet of things; embedded c; hardware design","Embedding Sensors and Motors",1.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[9.3,32.6]","[NULL]","English","physical-science-and-engineering","electrical-engineering","487N_QqXEeeqsQo32tjRBA"]
["Computer Architecture","Hardware Design","Sensors and Sensor Circuit Design","University of Colorado Boulder","Advanced",24.8,4.36,"https://www.coursera.org/learn/sensors-circuit-interface","This course can also be taken for academic credit as ECEA 5340, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how to specify the proper thermal, flow, or rotary sensor for taking real-time process data. \\n●\\tImplement thermal sensors into an embedded system in both hardware and software.\\n●\\tAdd the sensor and sensor interface into a microprocessor based development kit.\\n●\\tCreate hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation.\\n●\\tStudy sensor signal noise and apply proper hardware techniques to reduce it to acceptable levels.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere.\\n\\nThese are the part numbers typed out, so you can copy and paste them into the Digikey web site. You will need one of each part.\\n\\n428-3390-ND\\nNHD-0216BZ-RN-YBW-ND\\n570-1229-ND\\nA105970CT-ND","electronics; Actuators; Electrical Engineering; Oscilloscope; materials; Mechatronics; microprocessor; internet of things; embedded c; hardware design","Embedding Sensors and Motors",1.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[9.3,32.6]","[NULL]","English","physical-science-and-engineering","electrical-engineering","487N_QqXEeeqsQo32tjRBA"]
["Computer Architecture","Microarchitecture","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Computer Architecture","Microarchitecture","Computer Architecture","Princeton University","Advanced",32.8,4.78,"https://www.coursera.org/learn/comparch","In this course, you will learn to design the computer architecture of complex modern microprocessors.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","computer science; compiler construction; operating system; physics; c programming; java programming; Computer Engineering; compiler; architecture; quantum computing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.4,37.4]","[NULL]","English","physical-science-and-engineering","electrical-engineering","Ckas6KfpEeS3eyIACw6YLg"]
["Computer Programming","Best Courses","Problem Solving Using Computational Thinking","University of Michigan","Beginner",13.7,5.0,"https://www.coursera.org/learn/compthinking","Have you ever heard that computers \"think\"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, \"telling the computer what to do and how to do it.\"\\n\\nBefore you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.\\n\\nThe course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you.\\n\\nThis course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone.\\n\\nYou will learn:\\n-To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions\\n-To recognize Computational Thinking concepts in practice through a series of real-world case examples\\n-To develop solutions through the application of Computational Thinking concepts to real world problems","problem finding; delay-gradient congestion control; collaborative problem-solving; algorithms; computation; algorithmics; how to solve it; systemic problem; computer programming; criminal investigation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.2,16.9]","[NULL]","English","computer-science","algorithms","1D5f-zn8EemTSA5kkBvCzA"]
["Computer Programming","Best Courses","Programming Languages, Part A","University of Washington","Beginner",36.0,4.92,"https://www.coursera.org/learn/programming-languages","This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.\\n\\nThis course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it.\\n\\nThe course assumes some prior experience with programming, as described in more detail in the first module.\\n\\nThe course is divided into three Coursera courses: Part A, Part B, and Part C.  As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing.  The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C.  The three parts are not quite equal in length: Part A is almost as substantial as Part B and Part C combined.\\n\\nWeek 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.","computer programming; euler's totient function; matching; μ-recursive function; functional programming; pattern matching; programming language; recursion; language; omega language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[25.8,42.5]","[NULL]","English","computer-science","software-development","8om3I-4LEeSbxyIACw0OOQ"]
["Computer Programming","Best Courses","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Computer Programming","Best Courses","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Computer Programming","Best Courses","Programming for Everybody (Getting Started with Python)","University of Michigan","Beginner",18.8,4.81,"https://www.coursera.org/learn/python","This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.  The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.","python syntax and semantics; computer programming; python programming; basic programming language; syntax; omega language; language; semantics; programming language; context-sensitive language","Python for Everybody",1.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.8,24.8]","German; Korean; Chinese; Arabic","English","computer-science","software-development","7A1yFTaREeWWBQrVFXqd1w"]
["Computer Programming","Best Courses","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Computer Programming","Best Courses","Functional Programming Principles in Scala","École Polytechnique Fédérale de Lausanne","Beginner",22.7,4.78,"https://www.coursera.org/learn/progfun1","Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.\\n\\nIn this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically.\\n\\nThe course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments.\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line.","language; scala programming; omega language; functional programming; programming language; recursion; array programming; euler's totient function; μ-recursive function; computer programming","Functional Programming in Scala",1.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[15.3,27.4]","Korean; Serbian; French","English","computer-science","software-development","bRPXgjY9EeW6RApRXdjJPw"]
["Computer Programming","Best Courses","Using Python to Access Web Data","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/python-network-data","This course will show how one can treat the Internet as a source of data.  We will scrape, parse, and read web data as well as access data using web APIs.  We will work with HTML, XML, and JSON data formats in Python.  This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization.  These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files.  This course covers Python 3.","web; json; application programming interfaces; regular expression; web scraping; python programming; xml; web api; computer programming; python libraries","Python for Everybody",3.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[10,27]","Korean","English","computer-science","software-development","Y4DUPDpQEeWO-Qq6rEZAow"]
["Computer Programming","Best Courses","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Computer Programming","Best Courses","Python Basics","University of Michigan","Beginner",22.6,4.76,"https://www.coursera.org/learn/python-basics","This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook \"Fundamentals of Python Programming,\" which is the accompanying text (optional and free) for this course.\\n\\nThe course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is the first of five courses in the Python 3 Programming Specialization.","programming language; computer programming; basic programming language; python syntax and semantics; list & label; semantics; python programming; syntax; language; omega language","Python 3 Programming",1.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[11.4,29.6]","Korean; Vietnamese","English","computer-science","software-development","lGfJI2RJEeiXlwpPEKC-GA"]
["Computer Programming","C Programming Language Family","More C# Programming and Unity","University of Colorado System","Advanced",17.0,4.8,"https://www.coursera.org/learn/more-programming-unity","This course is the second course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll continue building your foundational C# and Unity knowledge by exploring more C# and Unity topics and finishing the Unity game you started at the end of the previous course.\\n\\nThe material in this and the previous course is essentially our first programming course for Game Design and Development majors at UCCS.\\n\\nModule 1: Learn how we can store lots of data in arrays and lists and use iteration (looping) to repeat actions in your code\\nModule 2: Learn about abstraction and how we can use it to design and implement console application classes\\nModule 3: Learn how we can use abstraction to design and implement Unity classes\\nModule 4: Add text output (like score!) and sound effects to your Unity games\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","computer programming; arrays; game programming; iteration; for loop; c programming; video game development; c sharp (programming language); while loop; boolean algebra","C# Programming for Unity Game Development",2.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[11,21.1]","[NULL]","English","computer-science","software-development","ml5Ynj5BEee4ZQrc8oiQ6A"]
["Computer Programming","C Programming Language Family","Computer Architecture","Princeton University","Advanced",32.8,4.78,"https://www.coursera.org/learn/comparch","In this course, you will learn to design the computer architecture of complex modern microprocessors.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","computer science; compiler construction; operating system; physics; c programming; java programming; Computer Engineering; compiler; architecture; quantum computing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.4,37.4]","[NULL]","English","physical-science-and-engineering","electrical-engineering","Ckas6KfpEeS3eyIACw6YLg"]
["Computer Programming","C Programming Language Family","Introduction to Game Development","Michigan State University","Beginner",37.2,4.78,"https://www.coursera.org/learn/game-development","If you love games and want to learn how to make them, then this course will start you down that path. Making games is a creative and technical art form. In this course you will familiarize yourself with the tools and practices of game development. You will get started developing your own videogames using the industry standard game development tools, including the Unity3D game engine and C#. At the end of the course you will have completed three hands-on projects and will be able to leverage an array of game development techniques to create your own basic games. This course is for individuals interested in becoming a game designer, game artist, or game programmer.","c sharp (programming language); unity (user interface); video game development; language; interfaces; game design; computer programming; user interface; programming language; java annotation","Game Design and Development",1.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[19.8,69]","[NULL]","English","computer-science","software-development","2H8ExCTIEeWeDBJG1XrG0w"]
["Computer Programming","C Programming Language Family","C for Everyone: Structured Programming","University of California, Santa Cruz","Intermediate",10.1,4.74,"https://www.coursera.org/learn/c-structured-programming","In the new world we live in, coding is a universally valuable skill, whether you're a scientist, artist, or a humanist. Algorithms are everywhere, and we all have to understand how they work. The C language is particularly well suited as an introduction to coding: It's a tried-and-true language, and it allows you to understand computing processes at a deep level. You will also get an introduction to more advanced programming in C++ in the final module. \\nThis is a continuation of C for Everyone: Fundamentals, which you should take before beginning this course. \\nThe time estimated time commitment for this course is five hours a week for five weeks.","preprocessor; structured programming; c++; c programming; debugging; computer science; cut, copy, and paste; advanced audio coding; binary tree; computer programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,12.5]","[NULL]","English","computer-science","software-development","B3r12dpIEemxgxKi9b-h7g"]
["Computer Programming","C Programming Language Family","Object-Oriented Data Structures in C++","University of Illinois at Urbana-Champaign","Beginner",19.0,4.72,"https://www.coursera.org/learn/cs-fundamentals-1","This course teaches learners how to write a program in the C++ language, including how to set up a development environment for writing and debugging C++ code and how to implement data structures as C++ classes. It is the first course in the Accelerated CS Fundamentals specialization, and subsequent courses in this specialization will be using C++ as the language for implementing the data structures covered in class.","computer program; management; compiler; data structure; memory management; c programming; computer programming; algorithms; object-oriented programming; memory","Accelerated Computer Science Fundamentals",1.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[10.4,29.5]","[NULL]","English","computer-science","software-development","57qeWvNFEeiLsQ7UWwj8jA"]
["Computer Programming","C Programming Language Family","Introduction to C# Programming and Unity","University of Colorado System","Beginner",23.9,4.64,"https://www.coursera.org/learn/introduction-programming-unity","This course is all about starting to learn how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course doesn't assume you have any previous programming experience. Don't worry if you've never written code before; we'll start at the very beginning and work our way up to building small games by the end of the course. Throughout the course you'll learn core programming concepts that apply to lots of programming languages, including C#, and you'll also learn how to apply those concepts when you develop games.\\n\\nComputer programming is really fun in general, and programming games is even better!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since this course is essentially the first half of a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Write your first C# console application and Unity script and learn how we store data in our programs\\nModule 2: Learn how we use classes and objects to implement our code\\nModule 3: Learn the basics of Unity 2D games and discover how we make decisions in our code\\nModule 4: Get and use player input in your Unity games\\nModule 5: Complete final peer review and take \"Final Exam\"\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","user interface; programming language; computer programming; omega language; java annotation; c programming; unity (user interface); c sharp (programming language); language; interfaces","C# Programming for Unity Game Development",1.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[16.1,30.2]","German; Chinese","English","computer-science","software-development","GZIxPCovEeeW5RJUyz1uFA"]
["Computer Programming","C Programming Language Family","The Finite Element Method for Problems in Physics","University of Michigan","Beginner",53.9,4.61,"https://www.coursera.org/learn/finite-element-method","This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.\\n\\nThe course includes about 45 hours of lectures covering the material I normally teach in an\\nintroductory graduate class at University of Michigan. The treatment is mathematical, which is\\nnatural for a topic whose roots lie deep in functional analysis and variational calculus. It is not\\nformal, however, because the main goal of these lectures is to turn the viewer into a\\ncompetent developer of finite element code. We do spend time in rudimentary functional\\nanalysis, and variational calculus, but this is only to highlight the mathematical basis for the\\nmethods, which in turn explains why they work so well. Much of the success of the Finite\\nElement Method as a computational framework lies in the rigor of its mathematical\\nfoundation, and this needs to be appreciated, even if only in the elementary manner\\npresented here. A background in PDEs and, more importantly, linear algebra, is assumed,\\nalthough the viewer will find that we develop all the relevant ideas that are needed.\\n\\nThe development itself focuses on the classical forms of partial differential equations (PDEs):\\nelliptic, parabolic and hyperbolic. At each stage, however, we make numerous connections to\\nthe physical phenomena represented by the PDEs. For clarity we begin with elliptic PDEs in\\none dimension (linearized elasticity, steady state heat conduction and mass diffusion). We\\nthen move on to three dimensional elliptic PDEs in scalar unknowns (heat conduction and\\nmass diffusion), before ending the treatment of elliptic PDEs with three dimensional problems\\nin vector unknowns (linearized elasticity). Parabolic PDEs in three dimensions come next\\n(unsteady heat conduction and mass diffusion), and the lectures end with hyperbolic PDEs in\\nthree dimensions (linear elastodynamics). Interspersed among the lectures are responses to\\nquestions that arose from a small group of graduate students and post-doctoral scholars who\\nfollowed the lectures live. At suitable points in the lectures, we interrupt the mathematical\\ndevelopment to lay out the code framework, which is entirely open source, and C++ based.\\n\\nBooks:\\nThere are many books on finite element methods. This class does not have a required\\ntextbook. However, we do recommend the following books for more detailed and broader\\ntreatments than can be provided in any form of class:\\n\\nThe Finite Element Method: Linear Static and Dynamic Finite Element Analysis, T.J.R.\\nHughes, Dover Publications, 2000.\\n\\nThe Finite Element Method: Its Basis and Fundamentals, O.C. Zienkiewicz, R.L. Taylor and\\nJ.Z. Zhu, Butterworth-Heinemann, 2005.\\n\\nA First Course in Finite Elements, J. Fish and T. Belytschko, Wiley, 2007.\\n\\nResources:\\nYou can download the deal.ii library at dealii.org. The lectures include coding tutorials where\\nwe list other resources that you can use if you are unable to install deal.ii on your own\\ncomputer. You will need cmake to run deal.ii. It is available at cmake.org.","partial differential equations; computational fluid dynamics; computational mechanics; c++; computational physics; fluid mechanics; finite differences; Mechanical Engineering; numerical analysis; differential equations","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[41.3,57]","[NULL]","English","physical-science-and-engineering","mechanical-engineering","2hftuq2dEeW8PhJ7jZ5xaQ"]
["Computer Programming","C Programming Language Family","Intermediate Object-Oriented Programming for Unity Games","University of Colorado System","Advanced",19.1,4.59,"https://www.coursera.org/learn/intermediate-object-oriented-programming-unity-games","This course is the third course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using file input and output, inheritance and polymorphism, and event handling.\\n\\nThis course gives you even more tools to help you build great games with C# and Unity!\\n\\nModule 1: Start using files to implement your Unity games\\nModule 2: Learn how inheritance and polymorphism help us write less code for our games\\nModule 3: Implement event handling to make better object-oriented designs and add menus to your Unity games\\nModule 4: Explore the complete implementation of a small Unity game\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","video game development; standard streams; stream (computing); object-oriented programming; game programming; c sharp (programming language); xml; game design; streams; menu button","C# Programming for Unity Game Development",3.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[11.4,25.7]","[NULL]","English","computer-science","software-development","113jFz5BEeeyvhI1Uz685A"]
["Computer Programming","C Programming Language Family","The Arduino Platform and C Programming","University of California, Irvine","Beginner",17.3,4.58,"https://www.coursera.org/learn/arduino-platform","The Arduino is an open-source computer hardware/software platform for building digital devices and interactive objects that can sense and control the physical world around them. In this class you will learn how the Arduino platform works in terms of the physical board and libraries and the IDE (integrated development environment). You will also learn about shields, which are smaller boards that plug into the main Arduino board to perform other functions such as sensing light, heat, GPS tracking, or providing a user interface display. The course will also cover programming the Arduino using C code and accessing the pins on the board via the software to control external devices. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Outline the composition of the Arduino development board\\n2.       Describe what it means to program the board's firmware\\n3.       Read board schematics\\n4.       Install Arduino IDE\\n5.       Describe what \"shields\" are and how they are used\\n6.       Specify the role of libraries in the use of shields\\n7.       Compile and run a program\\n8.       Name C Variables and Types\\n9.       Name common C operators\\n10.     Use conditionals and loops\\n11.     Explain functions, their definition and invocation\\n12.     Explain the implications of global variables\\n13.     Undertake the Arduino build process\\n14.     Describe the role of the tools behind the IDE\\n15.     Describe how to invoke functions in classes\\n16.     Explain the structure of an Arduino sketch\\n17.     Access the pins of the Arduino\\n18.     Differentiate between digital and analog pin\\n19.     Debug embedded software\\n20.     Explain the importance of controllability and observability in the debugging process\\n21.     Describe common debugging architectures for embedded systems\\n22.     Explain how the UART Serial communication protocol works\\n23.     Describe how the Arduino Serial library performs serial communication","arduino; computer programming; omega language; internet of things; internet; cut, copy, and paste; programming language; c programming; language; debugging","An Introduction to Programming the Internet of Things (IOT)",2.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[6.6,24.9]","Vietnamese","English","computer-science","software-development","gh5rVEd3EeW2ZBIIl17oPw"]
["Computer Programming","C Programming Language Family","Cloud Computing Concepts: Part 2","University of Illinois at Urbana-Champaign","Intermediate",24.5,4.58,"https://www.coursera.org/learn/cloud-computing-2","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.\\n\\nThis course builds on the material covered in the Cloud Computing Concepts, Part 1 course.","apache zookeeper; bully algorithm; graphs; concurrency control; mutual exclusion; streams; distributed computing; cloud computing; stream processing; file system","Cloud Computing",2.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[15.9,36.5]","Korean","English","computer-science","algorithms","9tZaH-SOEeWVyArzYsqChQ"]
["Computer Programming","C Programming Language Family","Programming Fundamentals","Duke University","Beginner",14.8,4.57,"https://www.coursera.org/learn/programming-fundamentals","Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.","data type; cut, copy, and paste; computer programming; algorithms; omega language; syntax; programming language; c programming; algorithm design; language","Introduction to Programming in C",1.0,"https://www.coursera.org/specializations/c-programming","This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.\\n\\nSuccessful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.","[7.8,19.3]","Vietnamese","English","computer-science","algorithms","-634YPnoEeaOTwrEsgnL9g"]
["Computer Programming","C Programming Language Family","Core Interaction Programming","Unity","Beginner",12.2,4.57,"https://www.coursera.org/learn/core-interaction-programming","Welcome to Core Interaction Programming, the first course in the Unity Certified Programmer Specialization from Unity Technologies.\\n\\nThis course will help you prepare for the Unity Certified Programmer exam, the professional certification for entry to mid-level Unity programmers. Unity is used to create real-time 3D applications for many industries, including video games, automotive, film, training, and more. In this course, you will be challenged to solve realistic Unity programming problems that are aligned to topics covered on the exam. \\n\\nThroughout the first course, you will build the foundation for a 2D action video game: AsteraX. In doing so, you will practice many of the skills covered in the exam, including evaluating scripting needs from a project requirements document, implementing the three \"C's\" of an interactive applications (Character, Controls, Camera), providing user feedback through basic UI elements, and applying professional programming practices like developer testing.\\n\\nThis is an intermediate course, intended for people who are ready for their first paying roles as Unity programmers, or enthusiasts who would like to verify their skills against a professional standard. To succeed, you should have at least 1-2 years of experience programming interactive applications in Unity. You should be proficient at programming in the C# language and familiar with Unity's scripting APIs. You should have experience in the full product development lifecycle, from concept to launch (and beyond). And you should understand multi-platform development, including deploying applications to XR (AR and VR) platforms.","architecture; computer graphics; critical thinking; c sharp (programming language); augmented reality; group work; factorial; math; euclidean vector; delegation","Unity Certified Programmer Exam Preparation",1.0,"https://www.coursera.org/specializations/unity-certified-programmer","This is Unity’s official series of courses designed to prepare you for the Unity Certified Programmer exam, the certification for entry- to mid-level Unity programmers. You’ll gain practice and experience in each of the topics covered in the exam through hands-on problem solving challenges. You’ll build two complete Unity projects end-to-end, implementing core interactivity, supporting systems, and platform optimizations This series of courses is for Unity programmers with 1-2 years of experience who are ready to bring their existing skills up to a professional standard.","[8.6,14.6]","[NULL]","English","computer-science","software-development","7wgO704hEeiKBBJnjV2o_g"]
["Computer Programming","C Programming Language Family","Pointers, Arrays, and Recursion","Duke University","Advanced",33.4,4.36,"https://www.coursera.org/learn/pointers-arrays-recursion","The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions—functions that call themselves—provide an alternative to iteration that are very useful for implementing certain algorithms.","openfabrics alliance; euler's totient function; iteration; function point; recursion; computer programming; arrays; device file; μ-recursive function; function pointer","Introduction to Programming in C",3.0,"https://www.coursera.org/specializations/c-programming","This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.\\n\\nSuccessful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.","[14.5,39.2]","[NULL]","English","computer-science","software-development","IpUTjfnpEealaBJvc-7qqA"]
["Computer Programming","C Programming Language Family","3D Art and Audio Pipeline","Unity","Intermediate",8.0,4.34,"https://www.coursera.org/learn/3d-art-and-audio-pipeline","Welcome to 3D Art and Audio Pipeline, the third course in the Unity Certified Programmer Specialization from Unity Technologies.\\n\\nThis course will help you prepare for the Unity Certified Programmer exam, the professional certification for entry to mid-level Unity programmers. Unity is used to create real-time 3D applications for many industries, including video games, automotive, film, training, and more. In this course, you will be challenged to solve realistic Unity programming problems that are aligned to topics covered on the exam. \\n\\nIn the fourth course, you will build on the Stealth application started in course 3. As a programmer, you work with artists and art assets, and this course will challenge you with some basic art implementation tasks, as well as with modifying art and audio assets at runtime. For example, you’ll implement a “red alert” mode of the game, where the lighting will change and an alarm will sound. Finally, we’ll review the high level considerations you would face to add networked features to this app, or to adapt it to a Virtual Reality or Augmented Reality platform.\\n\\nThis is an intermediate course, intended for people who are ready for their first paying roles as Unity programmers, or enthusiasts who would like to verify their skills against a professional standard. To succeed, you should have at least 1-2 years of experience programming interactive applications in Unity. You should be proficient at programming in the C# language and familiar with Unity's scripting APIs. You should have experience in the full product development lifecycle, from concept to launch (and beyond). And you should understand multi-platform development, including deploying applications to XR (AR and VR) platforms.","shadow mapping; dpvs; texture memory; shader; augmented reality; omega language; language; multisample anti-aliasing; game integrated development environment; spatial anti-aliasing","Unity Certified Programmer Exam Preparation",4.0,"https://www.coursera.org/specializations/unity-certified-programmer","This is Unity’s official series of courses designed to prepare you for the Unity Certified Programmer exam, the certification for entry- to mid-level Unity programmers. You’ll gain practice and experience in each of the topics covered in the exam through hands-on problem solving challenges. You’ll build two complete Unity projects end-to-end, implementing core interactivity, supporting systems, and platform optimizations This series of courses is for Unity programmers with 1-2 years of experience who are ready to bring their existing skills up to a professional standard.","[5.1,9.9]","[NULL]","English","computer-science","software-development","NgV--ZXhEeiMeg4E6KSakA"]
["Computer Programming","C Programming Language Family","Cloud Computing Concepts, Part 1","University of Illinois at Urbana-Champaign","Intermediate",38.7,4.34,"https://www.coursera.org/learn/cloud-computing","Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing \"concepts\" for cloud computing.\\n \\nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \\n \\nKnow how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises. In the programming assignments, implement some of these concepts in template code (programs) provided in the C++ programming language. Prior experience with C++ is required.\\n \\nThe course also features interviews with leading researchers and managers, from both industry and academia.","mapreduce; gossip; cloud computing; distributed computing; algorithms; integration testing; c++; multicast; distributed algorithm; gossip protocol","Cloud Computing",1.0,"https://www.coursera.org/specializations/cloud-computing","The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses.\\n\\nThe first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[26.8,44.8]","Korean","English","computer-science","algorithms","op_vMOGiEeWr4g7T_DyXNw"]
["Computer Programming","C Programming Language Family","Writing, Running, and Fixing Code in C","Duke University","Advanced",32.9,4.3,"https://www.coursera.org/learn/writing-running-fixing-code","Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently.","debugging; c++; computer programming; compiler; c programming; cut, copy, and paste; integration testing; software testing; debuggers; embedded c","Introduction to Programming in C",2.0,"https://www.coursera.org/specializations/c-programming","This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.\\n\\nSuccessful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.","[16,39.5]","Vietnamese","English","computer-science","software-development","EOK-BfnpEeagaA66cQunuA"]
["Computer Programming","C Programming Language Family","Algorithms, Data Collection, and Starting to Code","University of Colorado System","Advanced",11.1,4.29,"https://www.coursera.org/learn/algorithms-data-collection-code","This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!\\n\\nYou may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection.\\n\\nMost people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before.\\n\\nIf that all sounds interesting to you, go ahead and jump into the course!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Learn about algorithms and write your first C program\\nModule 2: Discover how we store data in our programs\\nModule 3: Explore how we use data collection to solve problems and answer questions\\nModule 4: Practice writing C programs to implement STEM computations","algorithms; language; long double; c programming; google street view; openfabrics alliance; spring; statistics; binary code; computer languages","Computational Thinking with Beginning C Programming",1.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,15.3]","[NULL]","English","computer-science","software-development","hTD2gasoEeikbA5NFwCang"]
["Computer Programming","C Programming Language Family","Introduction to Computer Programming","University of London","Advanced",13.5,4.29,"https://www.coursera.org/learn/introduction-to-computer-programming","This MOOC provides you with the foundational skill set required to write computer programs. If you are interested in learning how to write interactive, graphical programs from an introductory level in a real programming language, this is the course for you. You will begin by learning the basics of editing and running programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. You will even solve a set of interactive puzzles using your coding skills in the Sleuth game which has been created especially for this course. The course uses the Javascript language and the p5.js library.","c programming; javascript; Educational Programs; computer science; basic programming language; r programming; euler's totient function; computer programming; context-sensitive language; Computer Troubleshooting","Introduction to Computer Science and Programming",1.0,"https://www.coursera.org/specializations/introduction-computer-science-programming","This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.","[8.7,16.2]","[NULL]","English","computer-science","software-development","gg1S0H6YEeix1hLTZiaeDA"]
["Computer Programming","C Programming Language Family","Competitive Programmer's Core Skills","Saint Petersburg State University","Advanced",14.1,4.29,"https://www.coursera.org/learn/competitive-programming-core-skills","During the course, you’ll learn everything needed to participate in real competitions — that’s the main goal. Along the way you’ll also gain useful skills for which competitive programmers are so highly valued by employers: ability to write efficient, reliable, and compact code, manage your time well when it’s limited, apply basic algorithmic ideas to real problems, etc.\\n\\nWe start from the very beginning by teaching you what competitions there are, what are their rules, what specifics problems have, how to read problem statements, how to organize your work, and what you should and shouldn’t do. So it’s fine if you’ve never taken part in programming competitions before.\\n\\nWe’ll focus on skills essential to competitive programming: inventing solutions and proving their correctness, estimating their running time, testing and debugging programs, how to benefit from structuring code. We’ll also cover basic algorithmic ideas: brute force search, dynamic programming, greedy algorithms, segment trees.\\n\\nOn competitions, there are a lot of specific pitfalls, perilous to beginners — but that’s not to worry, as we’ll go through the most common of them: integer overflow and issues with fractional numbers, troubles of particular programming languages, how to get unstuck in general.\\n\\nAnd, you’ll hone all these skills by solving practice problems, which are just like problems on real competitions. You could use any of the following programming languages: C, C++, C#, Haskell, Java, JavaScript, Python 2, Python 3, Ruby, Rust, Scala. We assume that you already know how to write simplest programs in one of these.","greedy algorithm; matrix chain multiplication; programming language; dynamic programming; longest increasing subsequence; algorithms; c programming; computer programming; edit distance; number theory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8,16.8]","[NULL]","English","computer-science","algorithms","P8bdFw9aEeeiThJuAhkCcA"]
["Computer Programming","C Programming Language Family","C++ For C Programmers, Part B","University of California, Santa Cruz","Advanced",15.6,4.25,"https://www.coursera.org/learn/c-plus-plus-b","This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.","minimax; algorithms; standard template library; iterator; graphs; c++; function object; lambda calculus; design pattern; tuple","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.5,21]","[NULL]","English","computer-science","software-development","kaEEZo2KEeWFxA4DZNEJOQ"]
["Computer Programming","Computational Thinking","Problem Solving Using Computational Thinking","University of Michigan","Beginner",13.7,5.0,"https://www.coursera.org/learn/compthinking","Have you ever heard that computers \"think\"? Believe it or not, computers really do not think. Instead, they do exactly what we tell them to do. Programming is, \"telling the computer what to do and how to do it.\"\\n\\nBefore you can think about programming a computer, you need to work out exactly what it is you want to tell the computer to do. Thinking through problems this way is Computational Thinking. Computational Thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.\\n\\nThe course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. This project will be completed in stages (and milestones) and will also include a final disaster response plan you'll share with other learners like you.\\n\\nThis course is designed for anyone who is just beginning programming, is thinking about programming or simply wants to understand a new way of thinking about problems critically. No prior programming is needed. The examples in this course may feel particularly relevant to a High School audience and were designed to be understandable by anyone.\\n\\nYou will learn:\\n-To define Computational Thinking components including abstraction, problem identification, decomposition, pattern recognition, algorithms, and evaluating solutions\\n-To recognize Computational Thinking concepts in practice through a series of real-world case examples\\n-To develop solutions through the application of Computational Thinking concepts to real world problems","problem finding; delay-gradient congestion control; collaborative problem-solving; algorithms; computation; algorithmics; how to solve it; systemic problem; computer programming; criminal investigation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.2,16.9]","[NULL]","English","computer-science","algorithms","1D5f-zn8EemTSA5kkBvCzA"]
["Computer Programming","Computational Thinking","Abstraction, Problem Decomposition, and Functions","University of Colorado System","Advanced",10.7,5.0,"https://www.coursera.org/learn/abstraction-problem-decomposition-functions","This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures and data collection, analysis, and representation\\nPrerequisite C knowledge: Data types, variables, constants; STEM computations; selection; and iteration (looping)\\n\\nThroughout this course the computational thinking topics you'll explore are abstraction, which is deciding which details matter for the problem you're trying to solve, and problem decomposition, which is about breaking large problems into smaller sub-problems to handle complexity. For the programming topics, you'll continue building on your C knowledge by practicing using arrays, which let you store multiple values in a single variable, and strings, which are arrays of characters. You'll also learn how to implement functions, which are the mechanism we use for problem decomposition in our C programs.\\n\\nModule 1: Learn about arrays as a way to store multiple values in a single variable\\nModule 2: Discover how we store and process strings (arrays of characters)\\nModule 3: Explore abstraction and problem decomposition\\nModule 4: Use functions to implement problem decomposition in your code","function prototype; 3sum; statistics; longest common substring problem; base address; euler's totient function; null character; c99; openfabrics alliance; block code","Computational Thinking with Beginning C Programming",3.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,13.7]","[NULL]","English","computer-science","software-development","1t6K-aylEeif_A47d0seOg"]
["Computer Programming","Computational Thinking","Data Analysis and Representation, Selection and Iteration","University of Colorado System","Advanced",8.6,4.83,"https://www.coursera.org/learn/data-analysis-representation-selection-iteration","This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!\\n\\nThis course assumes you have the prerequisite knowledge from the previous course in the specialization. You should make sure you have that knowledge, either by taking that previous course or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. \\n\\nPrerequisite computational thinking knowledge: Algorithms and procedures, data collection\\nPrerequisite C knowledge: Data types, variables, constants, and STEM computations\\n\\nThroughout this course you'll learn about data analysis and data representation, which are computational thinking techniques that help us understand what sets of data have to tell us. For the programming topics, you'll continue building on your C knowledge by implementing selection, which lets us decide which code to execute, and iteration (or looping), which lets us repeat chunks of code multiple times.\\n\\nModule 1: Learn about some common statistics we can calculate as we analyze sets of data\\nModule 2: Discover how we make decisions in our code\\nModule 3: Explore the various ways we can represent sets of data\\nModule 4: Use iteration (looping) to repeat actions in your code","openfabrics alliance; data authentication algorithm; link encryption; data partitioning; grand mean; analysis; graph bandwidth; inequation; holddown; bad command or file name","Computational Thinking with Beginning C Programming",2.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[5,10.7]","[NULL]","English","computer-science","software-development","DsBLequ6EeiYdg7IYU-oxg"]
["Computer Programming","Computational Thinking","Data-driven Astronomy","The University of Sydney","Advanced",24.6,4.83,"https://www.coursera.org/learn/data-driven-astronomy","Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy.\\n\\nRegardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes.\\n\\nCourse outline:\\nWeek 1: Thinking about data\\n- Principles of computational thinking\\n- Discovering pulsars in radio images\\n\\nWeek 2: Big data makes things slow\\n- How to work out the time complexity of algorithms\\n- Exploring the black holes at the centres of massive galaxies\\n\\nWeek 3: Querying data using SQL\\n- How to use databases to analyse your data\\n- Investigating exoplanets in other solar systems\\n\\nWeek 4: Managing your data\\n- How to set up databases to manage your data\\n- Exploring the lifecycle of stars in our Galaxy\\n\\nWeek 5: Learning from data: regression\\n- Using machine learning tools to investigate your data\\n- Calculating the redshifts of distant galaxies\\n\\nWeek 6: Learning from data: classification\\n- Using machine learning tools to classify your data\\n- Investigating different types of galaxies\\n\\nEach week will also have an interview with a data-driven astronomy expert.\\n\\nNote that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files.","learning; data uri scheme; computer programming; python programming; computation; computational astronomy; sql; machine learning; applied machine learning; astronomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,34.6]","[NULL]","English","physical-science-and-engineering","physics-and-astronomy","C40AUGZoEeWq4RLQvtY_lQ"]
["Computer Programming","Computational Thinking","Algorithmic Thinking (Part 2)","Rice University","Beginner",19.8,4.64,"https://www.coursera.org/learn/algorithmic-thinking-2","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part class is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to computational problems.\\n\\nIn part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming.  As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nOnce students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems.  While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.","recursively enumerable set; dynamic programming; algorithmics; algorithms; python programming; sequence alignment; comparison of c sharp and java; data clustering algorithms; closest pair of points problem; computer programming","Fundamentals of Computing",6.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,24.9]","Spanish; Korean","English","computer-science","software-development","c1njRLZEEeWEoAqTi6kTYw"]
["Computer Programming","Computational Thinking","Algorithmic Thinking (Part 1)","Rice University","Intermediate",19.7,4.6,"https://www.coursera.org/learn/algorithmic-thinking-1","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to real-world computational problems.\\n\\nIn part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nRecommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in \"Principles of Computing\".","degree distribution; algorithms; algorithmics; python programming; computer network; graphs; algorithmic efficiency; pseudocode; graph (abstract data type); algebra","Fundamentals of Computing",5.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,23.2]","Spanish; Telugu; Korean; Greek","English","computer-science","software-development","jlAy87ZEEeWddwqLXioIgw"]
["Computer Programming","Computational Thinking","Problem Solving, Python Programming, and Video Games","University of Alberta","Beginner",163.3,4.51,"https://www.coursera.org/learn/problem-solving-programming-video-games","This course is an introduction to computer science and programming in Python.  Upon successful completion of this course, you will be able to:\\n\\n1.  Take a new computational problem and develop a plan to solve it through problem understanding and decomposition.\\n2.  Follow a design creation process that includes specifications, algorithms, and testing.\\n3.  Code, test, and debug a program in Python, based on your design.\\n\\nImportant computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout.  The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner.  However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.\\n\\nYou do not need any previous programming, Python, or video game experience.  However, some computer skills (e.g., mouse, keyboard, document editing), knowledge of algebra, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success.  Despite the use of video games for all the programming examples, PVG is not about computer games.  PVG will still provide valuable knowledge and skills for non-game computational problems.\\n\\nThe interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, algorithms, and functional test plans.  The course forums will be supported by the creators of the course, to help you succeed.\\n\\nAll videos, assessments, and ILOs are available free of charge.  There is an optional certificate available for a fee.","euler's totient function; test plan; software versioning; computer programming; subroutine; pygame; python programming; syntax; list of facebook features; algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[47.8,278.3]","[NULL]","English","computer-science","software-development","ZvjGtOESEeeF8w7J2dNlfg"]
["Computer Programming","Computational Thinking","Algorithms, Data Collection, and Starting to Code","University of Colorado System","Advanced",11.1,4.29,"https://www.coursera.org/learn/algorithms-data-collection-code","This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!\\n\\nYou may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. In this course, we’ll explore algorithms and data collection.\\n\\nMost people have a better understanding of what beginning C programming means! You’ll start learning how to develop C programs in this course by writing your first C program; learning about data types, variables, and constants; and honing your C programming skills by implementing a variety of STEM computations. This course doesn't assume you have any previous programming experience, so don't worry if you've never written code before.\\n\\nIf that all sounds interesting to you, go ahead and jump into the course!\\n\\nCaution: Beginning (assuming no prior programming knowledge) is not the same as easy (not hard to do). Learning to program IS hard to do, especially since the courses in this specialization are built from a freshman-level college course. Meeting the course challenges while you master the material will be rewarding to you, but doing that will require hard work and maybe even a few expletives along the way.\\n\\nModule 1: Learn about algorithms and write your first C program\\nModule 2: Discover how we store data in our programs\\nModule 3: Explore how we use data collection to solve problems and answer questions\\nModule 4: Practice writing C programs to implement STEM computations","algorithms; language; long double; c programming; google street view; openfabrics alliance; spring; statistics; binary code; computer languages","Computational Thinking with Beginning C Programming",1.0,"https://www.coursera.org/specializations/computational-thinking-c-programming","This specialization is designed to let you explore computational thinking and beginning C programming topics, applying those concepts to develop solutions to a variety of practical problems.The first course assumes no programming experience, and throughout the 4 courses in the specialization you'll learn about both computational thinking and C programming. The material in the courses in the specialization is equivalent to our computational thinking course at UCCS.","[6.5,15.3]","[NULL]","English","computer-science","software-development","hTD2gasoEeikbA5NFwCang"]
["Computer Programming","Computer Programming Tools","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Computer Programming","Computer Programming Tools","Open Source tools for Data Science","IBM","Beginner",7.8,4.5,"https://www.coursera.org/learn/open-source-tools-for-data-science","What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","rstudio; open source; watson (computer); apache spark; sources; python programming; computer programming; ipython; Data Science; data segment","Introduction to Data Science",2.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[3.9,11.2]","Russian","English","data-science","data-analysis","oCBU5_VYEeeBQA7SG0nILA"]
["Computer Programming","Java Programming","Learn to Teach Java:   Boolean Expressions, If Statements, and Iteration","University of California San Diego","Beginner",9.9,"[NULL]","https://www.coursera.org/learn/teach-java-boolean-expressions-if-statements-iteration","Learn to program with Boolean Expressions, If Statement, and For and While Loops in Java, and prepare to teach others using the free, online interactive CS Awesome textbook.  In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students.\\n\\nThis course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course.  We'll cover the critical Java concepts of selection (if statements) and iteration (loops), as covered in the APCS A Units 3 and 4.  Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students.  \\n\\nYou'll engage with additional materials to support your teaching including \"deep dive\" classroom discussion questions, assessment overviews, code tracing and problem solving skills for your students, including preparation for free response coding questions.","join dependency; complementary event; student's t-distribution; cross-entropy method; set comprehension; want; instruction unit; t distribution; qr decomposition; autocorrelation","Learn to Teach Java",2.0,"https://www.coursera.org/specializations/teach-java","Learn to teach introductory Java -- with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.","[5.7,12.2]","[NULL]","English","social-sciences","education","4hmsMiDuEeqEoA64XSGlTQ"]
["Computer Programming","Java Programming","Learn to Teach Java:  Writing Classes and Arrays","University of California San Diego","Beginner",7.3,"[NULL]","https://www.coursera.org/learn/teach-java-classes-arrays","Learn to program using Class design and 1-D Arrays in Java, and prepare to teach others using the free, online interactive CS Awesome textbook.  In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students.\\n\\nThis course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course.  We'll cover the critical Java concepts of class design and 1-dimensional arrays, as covered in the APCS A Units 5 and 6.  Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students.  \\n\\nYou'll engage with additional materials to support your teaching including \"deep dive\" classroom discussion questions, assessment overviews, code tracing and problem solving skills for your students, including preparation for free response coding questions.","open learning; helper class; computer programming; utility class; test preparation; Online Writing; want; educational robotics; calculus one; ap biology","Learn to Teach Java",3.0,"https://www.coursera.org/specializations/teach-java","Learn to teach introductory Java -- with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.","[4,9.8]","[NULL]","English","social-sciences","education","GH9_ESDwEeq_mhJRFB2jvw"]
["Computer Programming","Java Programming","Learn to Teach Java:  ArrayLists and 2D Arrays","University of California San Diego","Beginner",7.4,"[NULL]","https://www.coursera.org/learn/teach-java-arraylist-2d-arrays","Learn to program with ArrayLists and 2-D Arrays in Java, and prepare to teach others using the free, online interactive CS Awesome textbook.  In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students.\\n\\nThis course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course.  We'll cover the  Java concepts of ArrayLists and 2-dimensional arrays, as covered in the APCS A Units 7 and 8.  Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students.  \\n\\nYou'll engage with additional materials to support your teaching including \"deep dive\" classroom discussion questions, assessment overviews, code tracing and problem solving skills for your students, including preparation for free response coding questions.","calculus one; want; direct instruction; ap biology; test preparation; Educational Programs; Online Writing; computer programming; ap calculus; codecademy","Learn to Teach Java",4.0,"https://www.coursera.org/specializations/teach-java","Learn to teach introductory Java -- with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.","[4.8,9.5]","[NULL]","English","social-sciences","education","CIZnqiDvEeqTvRJ-EtIt3Q"]
["Computer Programming","Java Programming","Learn to Teach Java: Inheritance and Recursion","University of California San Diego","Beginner",6.5,"[NULL]","https://www.coursera.org/learn/teach-java-inheritance-recursion","Learn to program with Inheritance and Recursion in Java, and prepare to teach others using the free, online interactive CS Awesome textbook.  In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students.\\n\\nThis course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course.  We'll cover the  Java concepts of inheritance and recursion, as covered in the APCS A Units 9 and 10.  Each topic will begin by relating Java to block-based programming languages and then provide video overviews of CS Awesome content along with additional materials to supplement learning for your students.  \\n\\nYou'll engage with additional materials to support your teaching including \"deep dive\" classroom discussion questions, assessment overviews, code tracing and problem solving skills for your students, including preparation for free response coding questions.","want; nurse educator; calculus one; co-teaching; Online Writing; test preparation; adult learner; ap calculus; ap biology; martin odersky","Learn to Teach Java",5.0,"https://www.coursera.org/specializations/teach-java","Learn to teach introductory Java -- with a focus on the new Advanced Placement Computer Science A curriculum. Preview the CS Awesome curriculum with overview videos to help you prepare for class efficiently. Learn teaching tips and access supporting materials from an expert in CS education with 15+ years experience including advice on teaching debugging, code tracing (for answering multiple choice questions) and problem solving patterns. Complete activities specifically designed for teachers and create materials you can use in your classroom.","[3.4,8]","[NULL]","English","social-sciences","education","a6CqRiDxEeqTvRJ-EtIt3Q"]
["Computer Programming","Java Programming","Algorithms, Part II","Princeton University","Intermediate",35.2,4.95,"https://www.coursera.org/learn/algorithms-part2","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","java programming; computer programming; data segment; java (software platform); algorithms; string searching algorithm; sorting; graphs; data structure; search algorithm","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.4,41.8]","Korean","English","computer-science","algorithms","fEHS45vFEeaF3g7NeAQepg"]
["Computer Programming","Java Programming","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Computer Programming","Java Programming","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java programming; algorithms; data segment; list & label; computer programming; java (software platform); data structure; hashing; linked list; data uri scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.1,42.4]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["Computer Programming","Java Programming","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Computer Programming","Java Programming","Object Oriented Programming in Java","University of California San Diego","Beginner",22.8,4.69,"https://www.coursera.org/learn/object-oriented-java","Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about.\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science.  Our goal is that by the end of this course each and every one of you feels empowered to create a Java program that’s more advanced than any you have created in the past and that is personally interesting to you. In achieving this goal you will also learn the fundamentals of Object Oriented Programming, how to leverage the power of existing libraries, how to build graphical user interfaces, and how to use some core algorithms for searching and sorting data. And this course is project-based, so we’ll dive right into the project immediately!\\n\\nWe are excited to be offering a unique course structure, designed to support learners of different backgrounds in succeeding at their own pace. The first module explains how this will work and if this course is right for you. We also recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.\\n\\nThis course should take about 6 weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nWe’re excited you’re here learning with us. Let’s get started!","java (software platform); java annotation; inheritance (object-oriented programming); sorting; logic programming; algorithms; object-oriented programming; java programming; sorting algorithm; computer programming","Object Oriented Java Programming: Data Structures and Beyond",1.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[14.4,29.3]","Chinese; Korean; German","English","computer-science","software-development","NFiJtRnpEeW9dA4X94-nLQ"]
["Computer Programming","Java Programming","Java Programming: Build a Recommendation System","Duke University","Beginner",7.7,4.68,"https://www.coursera.org/learn/java-programming-recommender","Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon recommends books? We can get a feel for how it works by building a simplified recommender of our own!\\n\\nIn this capstone, you will show off your problem solving and Java programming skills by creating recommender systems. You will work with data for movies, including ratings, but the principles involved can easily be adapted to books, restaurants, and more. You will write a program to answer questions about the data, including which items should be recommended to a user based on their ratings of several movies. Given input files on users ratings and movie titles, you will be able to:\\n\\n1. Read in and parse data into lists and maps;\\n2. Calculate average ratings;\\n3. Calculate how similar a given rater is to another user based on ratings; and\\n4. Recommend movies to a given user based on ratings. \\n5. Display recommended movies for a given user on a webpage.","database; software development; software engineering; java programming; javascript; interfaces; java (software platform); rewriting; computer science; computer programming","Java Programming and Software Engineering Fundamentals",5.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[4.6,9.9]","[NULL]","English","computer-science","software-development","Eeb34jesEeWXuQopUhAqaw"]
["Computer Programming","Java Programming","Java Programming: Arrays, Lists, and Structured Data","Duke University","Beginner",23.8,4.65,"https://www.coursera.org/learn/java-programming-arrays-lists-data","Build on the software engineering skills you learned in “Java Programming: Solving Problems with Software” by learning new data structures. Use these data structures to build more complex programs that use Java’s object-oriented features. At the end of the course you will write an encryption program and a program to break your encryption algorithm.\\n\\nAfter completing this course, you will be able to:\\n1. Read and write data from/to files;\\n2. Solve problems involving data files;\\n3. Perform quantitative analyses of data (e.g., finding maximums, minimums, averages); \\n4. Store and manipulate data in an array or ArrayList;\\n5. Combine multiple classes to solve larger problems;\\n6. Use iterables and collections (including maps) in Java.","data structure; hashing; data uri scheme; java (software platform); cryptography; computer programming; set (abstract data type); java programming; arrays; hash table","Java Programming and Software Engineering Fundamentals",3.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[16.7,28.2]","Korean","English","computer-science","software-development","YyA0AhnoEeWwrBKfKrqlSQ"]
["Computer Programming","Java Programming","Java Programming: Principles of Software Design","Duke University","Beginner",19.2,4.63,"https://www.coursera.org/learn/java-programming-design-principles","Solve real world problems with Java using multiple classes. Learn how to create programming solutions that scale using Java interfaces. Recognize that software engineering is more than writing code - it also involves logical thinking and design. By the end of this course you will have written a program that analyzes and sorts earthquake data, and developed a predictive text generator.\\n\\nAfter completing this course, you will be able to:\\n1. Use sorting appropriately in solving problems;\\n2. Develop classes that implement the Comparable interface;\\n3. Use timing data to analyze empirical performance;\\n4. Break problems into multiple classes, each with their own methods;\\n5. Determine if a class from the Java API can be used in solving a particular problem;\\n6. Implement programming solutions using multiple approaches and recognize tradeoffs;\\n7. Use object-oriented concepts including interfaces and abstract classes when developing programs;\\n8. Appropriately hide implementation decisions so they are not visible in public methods; and\\n9. Recognize the limitations of algorithms and Java programs in solving problems.\\n10. Recognize standard Java classes and idioms including exception-handling, static methods, java.net, and java.io packages.","computer programming; software; interfaces; java annotation; abstract type; software design; algorithms; sorting; java programming; java (software platform)","Java Programming and Software Engineering Fundamentals",4.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[13.1,23.7]","Korean","English","computer-science","software-development","dB1qehnoEeWwrBKfKrqlSQ"]
["Computer Programming","Java Programming","Capstone: Analyzing (Social) Network Data","University of California San Diego","Intermediate",18.1,4.59,"https://www.coursera.org/learn/intermediate-programming-capstone","In this capstone project we’ll combine  all of the skills from all four specialization courses to do something really fun: analyze social networks!  \\n\\nThe opportunities for learning are practically endless in a social network.  Who are the “influential” members of the network?  What are the sub-communities in the network?   Who is connected to whom, and by how many links?   These are just some of the questions you can explore in this project.\\n\\nWe will provide you with a real-world data set and some infrastructure for getting started, as well as some warm up tasks and basic project requirements, but then it’ll be up to you where you want to take the project.  If you’re running short on ideas, we’ll have several suggested directions that can help get your creativity and imagination going.  Finally, to integrate the skills you acquired in course 4 (and to show off your project!) you will be asked to create a video showcase of your final product.","environment variable; data uri scheme; communication; data structure; analysis; algorithms; computer programming; delimiter; object-oriented programming; java programming","Object Oriented Java Programming: Data Structures and Beyond",5.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[12.2,23.2]","[NULL]","English","data-science","data-analysis","nvfMcDxTEeW7GArkqhNhJw"]
["Computer Programming","Java Programming","Mastering the Software Engineering Interview","University of California San Diego","Beginner",20.2,4.57,"https://www.coursera.org/learn/cs-tech-interview","You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal.  You may now be ready for an internship or (possibly) an entry-level software engineering job.  But can you land the internship/job?  It depends in part on how well you can solve new technical problems and communicate during interviews.  How can you get better at this?  Practice!  \\n\\nWith the support of Google’s recruiting and engineering teams we’ve provided tips, examples, and practice opportunities in this course that may help you with a number of tech companies.  We’ll assist you to organize into teams to practice.  Lastly, we’ll give you basic job search advice, and tips for succeeding once you’re on the job.","integration testing; programming interview; object-oriented programming; software engineering; peering; problem solving; java programming; live coding; interview; algorithmics","Object Oriented Java Programming: Data Structures and Beyond",4.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[7.9,26.1]","Arabic; Vietnamese","English","computer-science","software-development","73wUyhqPEeWwrBKfKrqlSQ"]
["Computer Programming","Java Programming","Computer Science: Programming with a Purpose","Princeton University","Advanced",39.9,4.56,"https://www.coursera.org/learn/cs-programming-java","The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Beyond direct applications, it is the first step in understanding the nature of computer science’s undeniable impact on the modern world.  This course covers the first half of our book Computer Science: An Interdisciplinary Approach (the second half is covered in our Coursera course Computer Science: Algorithms, Theory, and Machines). Our intent is to teach programming to those who need or want to learn it, in a scientific context. \\n\\nWe begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, we turn to functions, introducing key concepts such as recursion, modular programming, and code reuse. Then, we present a modern introduction to object-oriented programming.\\n\\nWe use the Java programming language and teach basic skills for computational problem solving that are applicable in many modern computing environments. Proficiency in Java is a goal, but we focus on fundamental concepts in programming, not Java per se.\\n\\nAll the features of this course are available for free. It does not offer a certificate upon completion.","euler's totient function; java (software platform); object-oriented programming; abstract data type; μ-recursive function; data type; computer programming; java programming; recursion; programming language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.8,52.1]","[NULL]","English","computer-science","software-development","r34F4xWsEei8pwq2_i5x8A"]
["Computer Programming","Java Programming","Parallel Programming in Java","Rice University","Intermediate",16.4,4.54,"https://www.coursera.org/learn/parallel-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism.\\n\\nWhy take this course?\\n\\n•\\tAll computers are multicore computers, so it is important for you to learn how to extend your knowledge of sequential Java programming to multicore parallelism.\\n•\\tJava 7 and Java 8 have introduced new frameworks for parallelism (ForkJoin, Stream) that have significantly changed the paradigms for parallel programming since the early days of Java.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tTheory of parallelism: computation graphs, work, span, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism\\n•\\tTask parallelism using Java’s ForkJoin framework\\n•\\tFunctional parallelism using Java’s Future and Stream frameworks\\n•\\tLoop-level parallelism with extensions for barriers and iteration grouping (chunking)\\n•\\tDataflow parallelism using the Phaser framework and data-driven tasks\\n\\nMastery of these concepts will enable you to immediately apply them in the context of multicore Java programs, and will also provide the foundation for mastering other parallel programming systems that you may encounter in the future  (e.g., C++11, OpenMP, .Net Task Parallel Library).","dataflow; streams; data uri scheme; data parallelism; parallel computing; java (software platform); computer programming; unified parallel c; java concurrency; flow network","Parallel, Concurrent, and Distributed Programming in Java",1.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[9,26.5]","[NULL]","English","computer-science","software-development","9_OIYfdDEeWfYgqbi1xsdw"]
["Computer Programming","Java Programming","Java Programming: Solving Problems with Software","Duke University","Beginner",24.2,4.51,"https://www.coursera.org/learn/java-programming","Learn to code in Java and improve your programming and problem-solving skills. You will learn to design algorithms as well as develop and debug programs. Using custom open-source classes, you will write programs that access and transform images, websites, and other types of data. At the end of the course you will build a program that determines the popularity of different baby names in the US over time by analyzing comma separated value (CSV) files. \\n\\nAfter completing this course you will be able to:\\n1. Edit, compile, and run a Java program;\\n2. Use conditionals and loops in a Java program;\\n3. Use Java API documentation in writing programs. \\n4. Debug a Java program using the scientific method;\\n5. Write a Java method to solve a specific problem;\\n6. Develop a set of test cases as part of developing a program;\\n7. Create a class with multiple methods that work together to solve a problem; and\\n8. Use divide-and-conquer design techniques for a program that uses multiple methods.","java syntax; algorithms; computer programming; programming language; java (software platform); problem solving; omega language; language; java programming; syntax","Object Oriented Programming in Java",1.0,"https://www.coursera.org/specializations/object-oriented-programming","This Specialization is for aspiring software developers with some programming experience in at least one other programming language (e.g., Python, C, JavaScript, etc.) who want to be able to solve more complex problems through objected-oriented design with Java. In addition to learning Java, you will gain experience with two Java development environments (BlueJ and Eclipse), learn how to program with graphical user interfaces, and learn how to design programs capable of managing large amounts of data. These software engineering skills are broadly applicable across wide array of industries.","[16.1,29.3]","Korean","English","computer-science","software-development","__y3wBnnEeW9dA4X94-nLQ"]
["Computer Programming","Java Programming","Building Cloud Services with the Java Spring Framework","Vanderbilt University","Advanced",18.6,4.48,"https://www.coursera.org/learn/cloud-services-java-spring-framework","This MOOC describes by example how to build cloud services via the use of object-oriented design techniques; Java programming language features; Java Servlets, the Java Spring Framework; and cloud computing platforms, such as Amazon Web Services.  Due to the importance of building secure and scalable mobile/cloud platforms, this MOOC will not only show you how to build cloud services, but how to do so securely, scalably, and efficiently. Security and scalability topics will be woven into discussions of cloud service creation so that students learn, from the start, how to create robust cloud services.","percent-encoding; amazon web services; java programming; spring framework; plain old java object; websocket; oauth; Servlets; cloud computing; spring","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,22.4]","[NULL]","English","computer-science","mobile-and-web-development","AQ9Go5hyEeWqkw5zNB248Q"]
["Computer Programming","Java Programming","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.6,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","javascript; web development; algorithms; web; CSS; HTML5; html; web page; Style Sheets; computer programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.3,25.7]","[NULL]","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["Computer Programming","Java Programming","Concurrent Programming in Java","Rice University","Beginner",15.2,4.46,"https://www.coursera.org/learn/concurrent-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8.   Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs.  By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability).\\n\\nWhy take this course?\\n\\n•\\tIt is important for you to be aware of the theoretical foundations of concurrency to avoid common but subtle programming errors. \\n•\\tJava 8 has modernized many of the concurrency constructs since the early days of threads and locks.\\n•\\tDuring the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tConcurrency theory: progress guarantees, deadlock, livelock, starvation, linearizability\\n•\\tUse of threads and structured/unstructured locks in Java\\n•\\tAtomic variables and isolation\\n•\\tOptimistic concurrency and concurrent collections in Java (e.g., concurrent queues, concurrent  hashmaps)\\n•\\tActor model in Java\\n\\nMastery of these concepts will enable you to immediately apply them in the context of concurrent Java programs, and will also help you master other concurrent programming system that you may encounter in the future  (e.g., POSIX threads, .NET threads).","concurrency (computer science); actor model; java concurrency; java (software platform); modeling; optimistic concurrency control; concurrent computing; computer programming; null character; concurrency control","Parallel, Concurrent, and Distributed Programming in Java",2.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[9.3,23.6]","[NULL]","English","computer-science","software-development","KDpdcxuGEea2Gw5ROLcooQ"]
["Computer Programming","Java Programming","Java for Android","Vanderbilt University","Intermediate",36.3,4.45,"https://www.coursera.org/learn/java-for-android","This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. \\n\\nIn particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods). Learners will apply these Java features in the context of core Android components (such as Activities and basic UI elements) by applying common tools (such as Android Studio) needed to develop Java programs and useful Android apps.  \\n\\nLearners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. There will be roughly 4-6 hours of student engagement time per week, including video lectures, quizzes, and programming assignments.","android studio; java syntax; syntax; object-oriented programming; logic programming; java programming; java (software platform); software; computer programming","Android App Development",1.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[13.2,57.6]","[NULL]","English","computer-science","mobile-and-web-development","8UQBnm04EeWyAQ6K5KeLkw"]
["Computer Programming","Java Programming","Distributed Programming in Java","Rice University","Intermediate",15.4,4.44,"https://www.coursera.org/learn/distributed-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8.  Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications.  By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading.\\n\\nWhy take this course?\\n\\n•\\tAll data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency.\\n•\\tIn addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tDistributed map-reduce programming in Java using the Hadoop and Spark frameworks\\n•\\tClient-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces\\n•\\tMessage-passing programming in Java using the Message Passing Interface (MPI)\\n•\\tApproaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming\\n\\nMastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future  (e.g., in Scala or C++).","computer programming; message passing; distributed computing; concurrent computing; mapreduce; spmd; parallel computing; apache kafka; multicast; unified parallel c","Parallel, Concurrent, and Distributed Programming in Java",3.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[7.6,24.2]","[NULL]","English","computer-science","software-development","vD3GUIAsEeaztxKMUHWbjQ"]
["Computer Programming","Javascript","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Computer Programming","Javascript","JavaScript, jQuery, and JSON","University of Michigan","Advanced",18.0,4.73,"https://www.coursera.org/learn/javascript-jquery-json","In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery).\\n\\nIt is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization.","jquery; php; laravel; ajax (programming); syntax; javascript; document object model; json; html; web application","Web Applications for Everybody",4.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[11,28.2]","[NULL]","English","computer-science","mobile-and-web-development","9Z1XvVwuEeeVDg6Hr_aQ1g"]
["Computer Programming","Javascript","Interactivity with JavaScript","University of Michigan","Beginner",11.2,4.65,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","javascript; web design; html; web; syntax; computer programming; web development; javascript syntax; document object model; interactivity","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.7,14.4]","[NULL]","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["Computer Programming","Javascript","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","web application; css code; web; web development; web design; HTML5; CSS; Style Sheets; html; javascript","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["Computer Programming","Javascript","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.7,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","angularjs; javascript; react (javascript library); web; mean (software bundle); javascript library; Redux; web development; node.js; front-end web development","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.6]","[NULL]","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["Computer Programming","Javascript","Responsive Web Design","University of London","Intermediate",16.6,4.55,"https://www.coursera.org/learn/responsive-web-design","In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using JavaScript objects and templates. \\n\\nAt the end of the course, you will be able to:\\n1. Explain why users need to know where they are, where they can go and what is on a web page\\n2. Create wireframe mockups of web pages \\n3. Identify the key functional elements of web pages\\n4. Use Bootstrap components to realise page designs\\n5. Use JavaScript data structures such as arrays and objects to define the data used in a web page\\n6. Use the Handlebars template library to convert data to HTML \\n7. Add interactivity to templates using JavaScript event listeners\\n\\nIn this course, you will complete:\\n1 website design assignment taking ~1 hour to complete\\n1 programming assignment taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","CSS; html; web design; web; javascript templating; navigation bar; arrays; javascript; data structure; responsive web design","Responsive Website Development and Design",2.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[11,24.1]","[NULL]","English","computer-science","mobile-and-web-development","Fp0K8RoEEeWDtQoum3sFeQ"]
["Computer Programming","Javascript","Multiplatform Mobile App Development with React Native","The Hong Kong University of Science and Technology","Advanced",28.6,4.54,"https://www.coursera.org/learn/react-native","This course focuses on developing truly cross-platform, native iOS and Android apps using React Native (Ver 0.55) and the Expo SDK (Ver. 27.0.0). React Native uses modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with React Native UI and layout support and access the native mobile platform's capabilities from Javascript using the Expo SDK. You should have already completed the Bootstrap 4 and the React courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your React and Javascript skills, (c) Use various features of React Native and the Expo SDK to build truly cross-platform mobile applications, and (d) Use Redux to design the architecture for a React-Redux application","xamarin; web development; mobile application development; node.js; javascript; angularjs; react (javascript library); mean (software bundle); front-end web development; mobile app","Full-Stack Web Development with React",3.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[17.8,40.9]","[NULL]","English","computer-science","mobile-and-web-development","CsfN7hC9EeiE7wpvHFhXPA"]
["Computer Programming","Javascript","Responsive Website Basics: Code with HTML, CSS, and JavaScript","University of London","Beginner",14.4,4.5,"https://www.coursera.org/learn/website-coding","In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style.  Additionally, your web page will support interactivity. \\n\\nAt the end of the course, you will be able to:\\n\\n1. Define the purpose of HTML, CSS and JavaScript\\n2. Make a simple web page using HTML\\n3. Use CSS to control text styles and layout\\n4. Use CSS libraries such as Bootstrap to create responsive layouts\\n5. Use JavaScript variables and functions\\n6. Manipulate web page content using JavaScript\\n7. Respond to user input using JavaScript\\n\\nIn this course, you will complete: \\n2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\n1 programming exercise~30 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","responsive web design; web design; html; CSS; Style Sheets; css code; HTML5; javascript; web; jquery","Responsive Website Development and Design",1.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[9.2,18.9]","Arabic","English","computer-science","mobile-and-web-development","HITLfhnoEeWjrA6seF25aw"]
["Computer Programming","Javascript","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.6,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","javascript; web development; algorithms; web; CSS; HTML5; html; web page; Style Sheets; computer programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.3,25.7]","[NULL]","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["Computer Programming","Javascript","Introduction to Computer Programming","University of London","Advanced",13.5,4.29,"https://www.coursera.org/learn/introduction-to-computer-programming","This MOOC provides you with the foundational skill set required to write computer programs. If you are interested in learning how to write interactive, graphical programs from an introductory level in a real programming language, this is the course for you. You will begin by learning the basics of editing and running programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. You will even solve a set of interactive puzzles using your coding skills in the Sleuth game which has been created especially for this course. The course uses the Javascript language and the p5.js library.","c programming; javascript; Educational Programs; computer science; basic programming language; r programming; euler's totient function; computer programming; context-sensitive language; Computer Troubleshooting","Introduction to Computer Science and Programming",1.0,"https://www.coursera.org/specializations/introduction-computer-science-programming","This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.","[8.7,16.2]","[NULL]","English","computer-science","software-development","gg1S0H6YEeix1hLTZiaeDA"]
["Computer Programming","Other Programming Languages","Programming Languages, Part C","University of Washington","Intermediate",21.0,4.96,"https://www.coursera.org/learn/programming-languages-part-c","[As described below, this is Part C of a 3-part course.  Participants should complete Parts A and B first -- Part C \"dives right in\" and refers often to material from Part A and Part B.]\\n\\nThis course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.\\n\\nThis course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it.\\n\\nThe course assumes some prior experience with programming, as described in more detail in the first module of Part A.  Part B assumes successful completion of Part A.\\n\\nThe course is divided into three Coursera courses: Part A, Part B, and Part C.  As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing.  The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C.  \\n\\nWeek 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.","object-oriented programming; programming language; computer programming; omega language; subtyping; ruby (programming language); computer science; language; Software Installation; functional programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.6,27]","[NULL]","English","computer-science","software-development","jZVi525OEeW8nw5ORrHGtQ"]
["Computer Programming","Other Programming Languages","Programming Languages, Part B","University of Washington","Intermediate",18.7,4.94,"https://www.coursera.org/learn/programming-languages-part-b","[As described below, this is Part B of a 3-part course.  Participants should complete Part A first -- Part B \"dives right in\" and refers often to material from Part A.]\\n\\nThis course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.\\n\\nThis course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it.\\n\\nThe course assumes some prior experience with programming, as described in more detail in the first module of Part A.  Part B assumes successful completion of Part A.\\n\\nThe course is divided into three Coursera courses: Part A, Part B, and Part C.  As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing.  The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C.  \\n\\nWeek 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.","Software Installation; omega language; racket (programming language); type system; programming language concepts; language; functional programming; programming language; computer programming; closure (computer programming)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,22]","[NULL]","English","computer-science","software-development","TCmaO25NEeWdfRLY06XVmw"]
["Computer Programming","Other Programming Languages","Programming Languages, Part A","University of Washington","Beginner",36.0,4.92,"https://www.coursera.org/learn/programming-languages","This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.\\n\\nThis course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it.\\n\\nThe course assumes some prior experience with programming, as described in more detail in the first module.\\n\\nThe course is divided into three Coursera courses: Part A, Part B, and Part C.  As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing.  The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C.  The three parts are not quite equal in length: Part A is almost as substantial as Part B and Part C combined.\\n\\nWeek 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.","computer programming; euler's totient function; matching; μ-recursive function; functional programming; pattern matching; programming language; recursion; language; omega language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[25.8,42.5]","[NULL]","English","computer-science","software-development","8om3I-4LEeSbxyIACw0OOQ"]
["Computer Programming","Other Programming Languages","Introduction to Programming with MATLAB","Vanderbilt University","Beginner",60.8,4.79,"https://www.coursera.org/learn/matlab","This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.\\n\\nNevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.\\n\\nStudents taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.","omega language; matlab; problem solving; matrices; computer program; programming principles; principle; computer programming; language; programming language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,93.6]","Greek","English","computer-science","software-development","A4W_GyDjEeW5Rwo0txKkgQ"]
["Computer Programming","Other Programming Languages","Functional Programming Principles in Scala","École Polytechnique Fédérale de Lausanne","Beginner",22.7,4.78,"https://www.coursera.org/learn/progfun1","Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.\\n\\nIn this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically.\\n\\nThe course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments.\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line.","language; scala programming; omega language; functional programming; programming language; recursion; array programming; euler's totient function; μ-recursive function; computer programming","Functional Programming in Scala",1.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[15.3,27.4]","Korean; Serbian; French","English","computer-science","software-development","bRPXgjY9EeW6RApRXdjJPw"]
["Computer Programming","Other Programming Languages","Concurrency in Go","University of California, Irvine","Intermediate",14.2,4.67,"https://www.coursera.org/learn/golang-concurrency","Learn how to implement concurrent programming in Go. Explore the roles of channels and goroutines in implementing concurrency. Topics include writing goroutines and implementing channels for communications between goroutines. Course activities will allow you to exercise Go’s capabilities for concurrent programming by developing several example programs.","programming language; language; computer programming; go (programming language); concurrent computing; dining philosophers problem; imageboards; omega language; google; integration testing","Programming with Google Go",3.0,"https://www.coursera.org/specializations/google-golang","This specialization introduces the Go programming language from Google and provides learners with an overview of Go's special features. Upon completing the three-course sequence, learners will have gained the knowledge and skills needed to create concise, efficient, and clean applications using Go.","[7.4,22.6]","[NULL]","English","computer-science","software-development","m8BEnbnZEeewUQ7IuhPUJA"]
["Computer Programming","Other Programming Languages","Big Data Analysis with Scala and Spark","École Polytechnique Fédérale de Lausanne","Beginner",14.5,4.64,"https://www.coursera.org/learn/scala-spark-big-data","Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n- read data from persistent storage and load it into Apache Spark,\\n- manipulate data with Spark and Scala,\\n- express algorithms for data analysis in a functional style, \\n- recognize how to avoid shuffles and recomputation in Spark,\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.","scala programming; data uri scheme; distributed computing; mathematical optimization; functional programming; big data; sql; apache spark; data segment; computer programming","Functional Programming in Scala",4.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[9.9,17.6]","[NULL]","English","computer-science","algorithms","e8VseYIYEeWxQQoymFg8zQ"]
["Computer Programming","Other Programming Languages","Functional Program Design in Scala","École Polytechnique Fédérale de Lausanne","Beginner",12.2,4.52,"https://www.coursera.org/learn/progfun2","In this course you will learn how to apply the functional programming style in the design of larger applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world.\\n\\nSeveral parts of this course deal with the question how functional programming interacts with mutable state. We will explore the consequences of combining functions and state. We will also look at purely functional alternatives to mutable state, using infinite data structures or functional reactive programming.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n - recognize and apply design principles of functional programs,\\n - design functional libraries and their APIs,\\n - competently combine functions and state in one program,\\n - understand reasoning techniques for programs that combine \\n   functions and state,\\n - write simple functional reactive applications.\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Programming Principles in Scala: https://www.coursera.org/learn/progfun1.","scala programming; programming language; evaluation; streams; language; functional design; lazy evaluation; reactive programming; functional programming; computer programming","Functional Programming in Scala",2.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[8.5,14.8]","[NULL]","English","computer-science","software-development","PeZYFz-zEeWB_AoW1KYI4Q"]
["Computer Programming","Other Programming Languages","Getting Started with Go","University of California, Irvine","Beginner",16.8,4.45,"https://www.coursera.org/learn/golang-getting-started","Learn the basics of Go, an open source programming language originally developed by a team at Google and enhanced by many contributors from the open source community. This course is designed for individuals with previous programming experience using such languages as C, Python, or Java, and covers the fundamental elements of Go. Topics include data types, protocols, formats, and writing code that incorporates RFCs and JSON. Most importantly, you’ll have a chance to practice writing Go programs and receive feedback from your peers. Upon completing this course, you'll be able to implement simple Go programs, which will prepare you for subsequent study at a more advanced level.","computer programming; godiva (programming language); omega language; gosu (programming language); programming language; genie (programming language); go! (programming language); glowe (programming language); language; go (programming language)","Programming with Google Go",1.0,"https://www.coursera.org/specializations/google-golang","This specialization introduces the Go programming language from Google and provides learners with an overview of Go's special features. Upon completing the three-course sequence, learners will have gained the knowledge and skills needed to create concise, efficient, and clean applications using Go.","[8.6,26.9]","[NULL]","English","computer-science","software-development","fuFdqqrEEeeQCg4vdZhqYg"]
["Computer Programming","Other Programming Languages","Parallel programming","École Polytechnique Fédérale de Lausanne","Beginner",15.4,4.41,"https://www.coursera.org/learn/parprog1","With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n- reason about task and data parallel programs,\\n- express common algorithms in a functional style and solve them in parallel,\\n- competently microbenchmark parallel code,\\n- write programs that effectively use parallel collections to achieve performance\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala: https://www.coursera.org/learn/progfun2.","task parallelism; data uri scheme; unified parallel c; data structure; parallel algorithm; computer programming; data parallelism; parallel computing; scala programming; algorithms","Functional Programming in Scala",3.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[9.7,18.5]","[NULL]","English","computer-science","software-development","GVy8tIIKEeWXmQ4F86nmrw"]
["Computer Programming","Programming Principles","Principles of Computing (Part 2)","Rice University","Intermediate",19.1,4.82,"https://www.coursera.org/learn/principles-of-computing-2","This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems.  To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 2 of this course,  the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures.  Upon completing this course, you will have a solid foundation in the principles of computation and programming.  This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms.  Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.","codea; μ-recursive function; recursion; python programming; computer programming; tree traversal; context menu; algorithms; data structure; memoization","Fundamentals of Computing",4.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[12.4,23.1]","Romanian","English","computer-science","software-development","oBD-Aq5rEeWDaxLlMKJUpw"]
["Computer Programming","Programming Principles","Programming for Everybody (Getting Started with Python)","University of Michigan","Beginner",18.8,4.81,"https://www.coursera.org/learn/python","This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.  The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.","python syntax and semantics; computer programming; python programming; basic programming language; syntax; omega language; language; semantics; programming language; context-sensitive language","Python for Everybody",1.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.8,24.8]","German; Korean; Chinese; Arabic","English","computer-science","software-development","7A1yFTaREeWWBQrVFXqd1w"]
["Computer Programming","Programming Principles","Introduction to Programming with MATLAB","Vanderbilt University","Beginner",60.8,4.79,"https://www.coursera.org/learn/matlab","This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general-purpose language, such as C++ or Java. As a result, MATLAB is being used in a wide variety of domains from the natural sciences, through all disciplines of engineering, to finance, and beyond, and it is heavily used in industry. Hence, a solid background in MATLAB is an indispensable skill in today’s job market.\\n\\nNevertheless, this course is not a MATLAB tutorial. It is an introductory programming course that uses MATLAB to illustrate general concepts in computer science and programming. Students who successfully complete this course will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB.\\n\\nStudents taking the course will get a MATLAB Online license free of charge for the duration of the course. The students are encouraged to consult the eBook that this course is based on. More information about these resources can be found on the Resources menu on the right.","omega language; matlab; problem solving; matrices; computer program; programming principles; principle; computer programming; language; programming language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,93.6]","Greek","English","computer-science","software-development","A4W_GyDjEeW5Rwo0txKkgQ"]
["Computer Programming","Programming Principles","Functional Programming Principles in Scala","École Polytechnique Fédérale de Lausanne","Beginner",22.7,4.78,"https://www.coursera.org/learn/progfun1","Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.\\n\\nIn this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically.\\n\\nThe course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments.\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line.","language; scala programming; omega language; functional programming; programming language; recursion; array programming; euler's totient function; μ-recursive function; computer programming","Functional Programming in Scala",1.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[15.3,27.4]","Korean; Serbian; French","English","computer-science","software-development","bRPXgjY9EeW6RApRXdjJPw"]
["Computer Programming","Programming Principles","Principles of Computing (Part 1)","Rice University","Beginner",22.6,4.77,"https://www.coursera.org/learn/principles-of-computing-1","This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.  We will augment those skills with both important programming practices and critical mathematical problem solving skills.  These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 1 of this course, the programming aspect of the class will focus on coding standards and testing.  The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science.  \\n\\nRecommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.","problem solving; computer programming; algorithms; combinatorics; tuple; autonomous system (internet); coding conventions; python programming; right-to-left; randomness","Fundamentals of Computing",3.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[15.5,27.4]","[NULL]","English","computer-science","software-development","ZLWU-phSEeWt-Ao8imSkCQ"]
["Computer Programming","Programming Principles","An Introduction to Interactive Programming in Python (Part 1)","Rice University","Beginner",29.2,4.75,"https://www.coursera.org/learn/interactive-python-1","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch.  Part 1 of this class will culminate in building a version of the classic arcade game \"Pong\".","programming language; omega language; principle; language; python syntax and semantics; interactivity; computer programming; python programming; syntax; semantics","Fundamentals of Computing",1.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[20.6,34.8]","Russian; Korean; Arabic; Italian; Portuguese; German; Chinese; Spanish","English","computer-science","software-development","n2zunIlgEeWSMw6QLoDNsQ"]
["Computer Programming","Programming Principles","Learn to Program: The Fundamentals","University of Toronto","Beginner",28.4,4.71,"https://www.coursera.org/learn/learn-to-program","Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.","computer programming; idle (python); python syntax and semantics; python programming; semantics; programming language; syntax; omega language; computer program; language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,34.2]","Kazakh; Persian; Italian; Vietnamese","English","computer-science","software-development","o4yIjxxHEeWo5g5SXpDA8Q"]
["Computer Programming","Programming Principles","Java Programming: Principles of Software Design","Duke University","Beginner",19.2,4.63,"https://www.coursera.org/learn/java-programming-design-principles","Solve real world problems with Java using multiple classes. Learn how to create programming solutions that scale using Java interfaces. Recognize that software engineering is more than writing code - it also involves logical thinking and design. By the end of this course you will have written a program that analyzes and sorts earthquake data, and developed a predictive text generator.\\n\\nAfter completing this course, you will be able to:\\n1. Use sorting appropriately in solving problems;\\n2. Develop classes that implement the Comparable interface;\\n3. Use timing data to analyze empirical performance;\\n4. Break problems into multiple classes, each with their own methods;\\n5. Determine if a class from the Java API can be used in solving a particular problem;\\n6. Implement programming solutions using multiple approaches and recognize tradeoffs;\\n7. Use object-oriented concepts including interfaces and abstract classes when developing programs;\\n8. Appropriately hide implementation decisions so they are not visible in public methods; and\\n9. Recognize the limitations of algorithms and Java programs in solving problems.\\n10. Recognize standard Java classes and idioms including exception-handling, static methods, java.net, and java.io packages.","computer programming; software; interfaces; java annotation; abstract type; software design; algorithms; sorting; java programming; java (software platform)","Java Programming and Software Engineering Fundamentals",4.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[13.1,23.7]","Korean","English","computer-science","software-development","dB1qehnoEeWwrBKfKrqlSQ"]
["Computer Programming","Programming Principles","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.6,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","javascript; web development; algorithms; web; CSS; HTML5; html; web page; Style Sheets; computer programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.3,25.7]","[NULL]","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["Computer Programming","Python Programming","An Introduction to Interactive Programming in Python (Part 2)","Rice University","Beginner",24.6,4.89,"https://www.coursera.org/learn/interactive-python-2","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack.  Part 1 of this class will culminate in building a version of the classic arcade game \"Asteroids\".  Upon completing this course, you will be able to write small, but interesting Python programs.  The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs.","syntax; python syntax and semantics; object-oriented programming; semantics; computer programming; social media marketing; interactive computing; python programming; interactivity; interactive programming","Fundamentals of Computing",2.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[17,33.1]","Korean; Turkish; Chinese","English","computer-science","software-development","uh_Pun3OEeW-FwqtbgSK1Q"]
["Computer Programming","Python Programming","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Computer Programming","Python Programming","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.9,4.83,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","object-oriented programming; indentation (typesetting); euler's totient function; opencv; computer programming; sorting; Data Science; c++; analysis; python programming","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[12.7,32.4]","Vietnamese; Korean","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["Computer Programming","Python Programming","Principles of Computing (Part 2)","Rice University","Intermediate",19.1,4.82,"https://www.coursera.org/learn/principles-of-computing-2","This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems.  To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 2 of this course,  the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures.  Upon completing this course, you will have a solid foundation in the principles of computation and programming.  This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms.  Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.","codea; μ-recursive function; recursion; python programming; computer programming; tree traversal; context menu; algorithms; data structure; memoization","Fundamentals of Computing",4.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[12.4,23.1]","Romanian","English","computer-science","software-development","oBD-Aq5rEeWDaxLlMKJUpw"]
["Computer Programming","Python Programming","The Fundamentals of Computing Capstone Exam","Rice University","Intermediate",3.8,4.81,"https://www.coursera.org/learn/fundamentals-of-computing-capstone","While most specializations on Coursera conclude with a project-based course, students in the \"Fundamentals of Computing\" specialization have completed more than 20+ projects during the first six courses of the specialization. Given that much of the material in these courses is reused from session to session, our goal in this capstone class is to provide a conclusion to the specialization that allows each student an opportunity to demonstrate their individual mastery of the material in the specialization.\\n\\nWith this objective in mind, the focus in this Capstone class will be an exam whose questions are updated periodically. This approach is designed to help insure that each student is solving the exam problems on his/her own without outside help. For students that have done their own work, we do not anticipate that the exam will be particularly hard. However, those students who have relied too heavily on outside help in previous classes may have a difficult time. We believe that this approach will increase the value of the Certificate for this specialization.","algorithm design; theoretical computer science; computer program; dynamic programming; trees (data structures); binary tree; computer programming; Course Development; python programming; data structure","Fundamentals of Computing",7.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[1,5.6]","[NULL]","English","computer-science","software-development","KuL4QMbGEeWQSAqHNmfP4Q"]
["Computer Programming","Python Programming","Programming for Everybody (Getting Started with Python)","University of Michigan","Beginner",18.8,4.81,"https://www.coursera.org/learn/python","This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.  The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.","python syntax and semantics; computer programming; python programming; basic programming language; syntax; omega language; language; semantics; programming language; context-sensitive language","Python for Everybody",1.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.8,24.8]","German; Korean; Chinese; Arabic","English","computer-science","software-development","7A1yFTaREeWWBQrVFXqd1w"]
["Computer Programming","Python Programming","Python Programming Essentials","Rice University","Beginner",11.7,4.78,"https://www.coursera.org/learn/python-programming","This course will introduce you to the wonderful world of Python programming!  We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.\\n\\nBy the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs.\\n\\nThis course uses Python 3.  While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly.  CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately.  In the later courses in this specialization,  we will help you to move to more sophisticated desktop development environments.","euler's totient function; python programming; programming style; syntax; coding conventions; python syntax and semantics; computer programming; codeskulptor; debugging; semantics","Introduction to Scripting in Python",1.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[7.1,15]","Chinese; Vietnamese; Korean","English","computer-science","software-development","7zlrfeNdEeafIArLeQBXwg"]
["Computer Programming","Python Programming","Principles of Computing (Part 1)","Rice University","Beginner",22.6,4.77,"https://www.coursera.org/learn/principles-of-computing-1","This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.  We will augment those skills with both important programming practices and critical mathematical problem solving skills.  These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 1 of this course, the programming aspect of the class will focus on coding standards and testing.  The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science.  \\n\\nRecommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.","problem solving; computer programming; algorithms; combinatorics; tuple; autonomous system (internet); coding conventions; python programming; right-to-left; randomness","Fundamentals of Computing",3.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[15.5,27.4]","[NULL]","English","computer-science","software-development","ZLWU-phSEeWt-Ao8imSkCQ"]
["Computer Programming","Python Programming","Using Python to Access Web Data","University of Michigan","Beginner",21.1,4.77,"https://www.coursera.org/learn/python-network-data","This course will show how one can treat the Internet as a source of data.  We will scrape, parse, and read web data as well as access data using web APIs.  We will work with HTML, XML, and JSON data formats in Python.  This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization.  These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files.  This course covers Python 3.","web; json; application programming interfaces; regular expression; web scraping; python programming; xml; web api; computer programming; python libraries","Python for Everybody",3.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[10,27]","Korean","English","computer-science","software-development","Y4DUPDpQEeWO-Qq6rEZAow"]
["Computer Programming","Python Programming","Python Basics","University of Michigan","Beginner",22.6,4.76,"https://www.coursera.org/learn/python-basics","This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook \"Fundamentals of Python Programming,\" which is the accompanying text (optional and free) for this course.\\n\\nThe course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is the first of five courses in the Python 3 Programming Specialization.","programming language; computer programming; basic programming language; python syntax and semantics; list & label; semantics; python programming; syntax; language; omega language","Python 3 Programming",1.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[11.4,29.6]","Korean; Vietnamese","English","computer-science","software-development","lGfJI2RJEeiXlwpPEKC-GA"]
["Computer Programming","Python Programming","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Computer Programming","Python Programming","An Introduction to Interactive Programming in Python (Part 1)","Rice University","Beginner",29.2,4.75,"https://www.coursera.org/learn/interactive-python-1","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch.  Part 1 of this class will culminate in building a version of the classic arcade game \"Pong\".","programming language; omega language; principle; language; python syntax and semantics; interactivity; computer programming; python programming; syntax; semantics","Fundamentals of Computing",1.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[20.6,34.8]","Russian; Korean; Arabic; Italian; Portuguese; German; Chinese; Spanish","English","computer-science","software-development","n2zunIlgEeWSMw6QLoDNsQ"]
["Computer Programming","Python Programming","Python Data Representations","Rice University","Beginner",11.7,4.75,"https://www.coursera.org/learn/python-representation","This course will continue the introduction to Python programming that started with Python Programming Essentials.  We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs.  We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.\\n\\nBy the end of the course, you will be able to write Python programs that can manipulate data stored in files.  This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python\\n\\nThis course uses Python 3.  While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.","computer programming; visit; algorithms; data type; iteration; tuple; string (computer science); python programming; list & label; system f","Introduction to Scripting in Python",2.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[7.2,14.3]","Vietnamese","English","computer-science","software-development","H1aeMONeEeao-RKLrHrfKg"]
["Computer Programming","Python Programming","Python Data Visualization","Rice University","Advanced",7.8,4.73,"https://www.coursera.org/learn/python-visualization","This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis.  We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.\\n\\nBy the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data.  This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.","immutable object; Data Science; data analysis; visit; thonny; owned; computer programming; python programming; analysis; data segment","Introduction to Scripting in Python",4.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[5,9.7]","Chinese","English","computer-science","software-development","WM6vmONeEea9axKK2AGYJA"]
["Computer Programming","Python Programming","Python Classes and Inheritance","University of Michigan","Beginner",13.7,4.72,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","class (computer programming); computer programming; inheritance (object-oriented programming); python programming; continuous function; django (web framework); software engineering; object-oriented programming; unit testing; opencv","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[6.7,18.3]","[NULL]","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["Computer Programming","Python Programming","Python Data Analysis","Rice University","Beginner",12.0,4.65,"https://www.coursera.org/learn/python-analysis","This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations.  We'll learn about reading, storing, and processing tabular data, which are common tasks.  We will also teach you about CSV files and Python's support for reading and writing them.  CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.\\n\\nBy the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python.\\n\\nThis course uses Python 3.  While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.","data analysis; karnaugh map; analysis; sorting; python programming; meta-object facility; table (information); computer programming; data type; webcams","Introduction to Scripting in Python",3.0,"https://www.coursera.org/specializations/introduction-scripting-in-python","This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.","[7.6,14.8]","[NULL]","English","computer-science","software-development","NZrYJ-NeEeatchKZ_SmDKA"]
["Computer Programming","Python Programming","Data Collection and Processing with Python","University of Michigan","Beginner",15.7,4.65,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","representational state transfer; web api; list & label; application programming interfaces; list comprehension; computer programming; data collection; web; python programming; json","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[7.9,19.9]","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["Computer Programming","Python Programming","Algorithmic Thinking (Part 2)","Rice University","Beginner",19.8,4.64,"https://www.coursera.org/learn/algorithmic-thinking-2","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part class is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to computational problems.\\n\\nIn part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming.  As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nOnce students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems.  While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.","recursively enumerable set; dynamic programming; algorithmics; algorithms; python programming; sequence alignment; comparison of c sharp and java; data clustering algorithms; closest pair of points problem; computer programming","Fundamentals of Computing",6.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,24.9]","Spanish; Korean","English","computer-science","software-development","c1njRLZEEeWEoAqTi6kTYw"]
["Computer Programming","Python Programming","Using Python to Interact with the Operating System","Google","Advanced",34.0,4.64,"https://www.coursera.org/learn/python-operating-system","By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.\\n\\nWe’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allow us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports.\\n\\nWe’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.","regular expression; unix shells; google; google cloud platform; linux; computer programming; unix; unit testing; bash (unix shell); python programming","Google IT Automation with Python",2.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[21.5,43.1]","[NULL]","English","information-technology","support-and-operations","3XMnuVFsEemYkgoCaF1HCg"]
["Computer Programming","Python Programming","Crash Course on Python","Google","Beginner",24.7,4.62,"https://www.coursera.org/learn/python-crash-course","This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. \\n\\nWe'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.","computer programming; syntax; python programming; ipython; python syntax and semantics; semantics; data structure; object-oriented programming; problem solving; data type","Google IT Automation with Python",1.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[13.7,32.6]","[NULL]","English","information-technology","support-and-operations","8D3R5HiaEeioIg7r4jw_PA"]
["Computer Programming","Python Programming","Python Programming: A Concise Introduction","Wesleyan University","Intermediate",13.2,4.61,"https://www.coursera.org/learn/python-programming-introduction","The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept.  At the end of each module there will be an exercise where the student is required to write simple programs and submit them for grading.  It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.\\n\\nThe course is four modules long and is designed to be completed in four weeks.","python syntax and semantics; python programming; language; ipython; programming language; python libraries; computer programming; syntax; semantics; omega language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.8,16.5]","[NULL]","English","computer-science","software-development","bfE3GBnoEeWg_RJGAuFGjw"]
["Computer Programming","Python Programming","Algorithmic Thinking (Part 1)","Rice University","Intermediate",19.7,4.6,"https://www.coursera.org/learn/algorithmic-thinking-1","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to real-world computational problems.\\n\\nIn part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nRecommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in \"Principles of Computing\".","degree distribution; algorithms; algorithmics; python programming; computer network; graphs; algorithmic efficiency; pseudocode; graph (abstract data type); algebra","Fundamentals of Computing",5.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,23.2]","Spanish; Telugu; Korean; Greek","English","computer-science","software-development","jlAy87ZEEeWddwqLXioIgw"]
["Computer Programming","Python Programming","Understanding and Visualizing Data with Python","University of Michigan","Beginner",15.2,4.58,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","python programming; studentized residual; numpy; sampling statistics; statistics; probability; data visualization; sampling distribution; analysis; computer programming","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.9,23.3]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Computer Programming","Python Programming","Capstone: Retrieving, Processing, and Visualizing Data with Python","University of Michigan","Beginner",8.8,4.54,"https://www.coursera.org/learn/python-data-visualization","In the capstone, students will build a series of applications to retrieve, process and visualize data using Python.   The projects will involve all the elements of the specialization.  In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find.  Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.","data segment; data analysis; computer programming; python programming; data visualization; data uri scheme; database; analysis; web scraping; web","Python for Everybody",5.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[4.5,10.7]","Korean","English","data-science","data-analysis","rwRs6Tn9EeWJaxK5AT4frw"]
["Computer Programming","Python Programming","Python for Data Science and AI","IBM","Beginner",24.8,4.51,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.","semantics; python programming; pandas; python libraries; python syntax and semantics; computer programming; syntax; data segment; analysis; numpy","IBM Data Science",4.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.1,43.6]","German; Korean","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["Computer Programming","Python Programming","Fitting Statistical Models to Data with Python","University of Michigan","Beginner",6.1,4.47,"https://www.coursera.org/learn/fitting-statistical-models-data-python","In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.\\n\\nThis course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python).\\n\\nDuring these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.","multilevel model; linearity; statistics; marginal model; statistical models; integration testing; clinical study design; python programming; dependent and independent variables; bayesian","Statistics with Python",3.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[0.6,10.3]","Korean","English","data-science","probability-and-statistics","ZMF2csDUEeiy_Ao4qYTCkA"]
["Computer Programming","Python Programming","Basic Data Processing and Visualization","University of California San Diego","Advanced",13.6,4.39,"https://www.coursera.org/learn/basic-data-processing-visualization-python","This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. \\n\\nThis course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.","predictive analytics; computer programming; python programming; Analytical Skills; data segment; usage data; design thinking; Data Science; artificial intelligence; analysis","Python Data Products for Predictive Analytics",1.0,"https://www.coursera.org/specializations/python-data-products-for-predictive-analytics","Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego.\\n\\nThis Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills.\\n\\nPython Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets.","[8.2,18.2]","[NULL]","English","data-science","data-analysis","Clt2FokTEeiYQAqwENY34g"]
["Computer Programming","Python Programming","Data Processing Using Python","Nanjing University","Advanced",28.8,4.38,"https://www.coursera.org/learn/python-data-processing","This course (The English copy of \"用Python玩转数据\" <https://www.coursera.org/learn/hipython/home/welcome>)  is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level. \\n\\nThis course, as a whole, based on Finance data and through the establishment of popular cases one after another, enables learners to more vividly feel the simplicity, elegance, and robustness of Python. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. Similarly, it may also be flexibly applied into other fields.\\n\\nThe course has been updated. Updates in the new version are : \\n\\n1) the whole course has moved from Python 2.x to Python 3.x \\n2) Added manual webpage fetching and parsing. Web API is also added. \\n3) Improve the content order and enrich details of some content especially for some practice projects.\\n\\nNote: videos are in Chinese (Simplified) with English subtitles. All other materials are in English.","user interface; numpy; computer programming; interfaces; pandas; graphical user interface; data structure; object-oriented programming; java annotation; python programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.1,41.4]","[NULL]","English","computer-science","software-development","XjmslaE3Eea7DQoksxKcjg"]
["Computer Programming","Software Framework","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Computer Programming","Software Framework","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Computer Programming","Software Framework","MongoDB Aggregation Framework","MongoDB Inc.","Advanced",34.4,4.62,"https://www.coursera.org/learn/mongodb-aggregation-framework","This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.\\n\\nYou'll begin this course by building a foundation of essential aggregation knowledge. By understanding these features of the Aggregation Framework you will learn how to ask complex questions of your data. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with \\nMongoDB.\\n\\nBy the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow.","preprocessor; association rule learning; lambda calculus; analysis; merge (sql); disease ontology; ipython; learning; data segment; mongodb","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.3,64.9]","[NULL]","English","data-science","data-analysis","nghs7HcKEeeJ-BJTOJs6DA"]
["Computer Programming","Software Framework","Building Cloud Services with the Java Spring Framework","Vanderbilt University","Advanced",18.6,4.48,"https://www.coursera.org/learn/cloud-services-java-spring-framework","This MOOC describes by example how to build cloud services via the use of object-oriented design techniques; Java programming language features; Java Servlets, the Java Spring Framework; and cloud computing platforms, such as Amazon Web Services.  Due to the importance of building secure and scalable mobile/cloud platforms, this MOOC will not only show you how to build cloud services, but how to do so securely, scalably, and efficiently. Security and scalability topics will be woven into discussions of cloud service creation so that students learn, from the start, how to create robust cloud services.","percent-encoding; amazon web services; java programming; spring framework; plain old java object; websocket; oauth; Servlets; cloud computing; spring","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,22.4]","[NULL]","English","computer-science","mobile-and-web-development","AQ9Go5hyEeWqkw5zNB248Q"]
["Computer Programming","System Programming","Basic System Programming on IBM Z","IBM","Advanced",6.7,4.79,"https://www.coursera.org/learn/system-programming","The foundational knowledge for the position of an IBM z/OS System Programmer and System Administrator begins with this third and final course in the three course professional certificate track. This course provides hands-on labs to everyday z/OS tasks with JCL, JES, ISHELL and HFS, and z/OSMF. Topics covered include VSAM, z/OS System Libraries, the Language Environment, Generation Data Groups, RAIM, DB2, UNIX System Services, and USS File System.\\n\\nOn successful completion of this course, the learners are eligible to claim the Basic System Programming on IBM Z badge. More information can be found here : \\nhttps://www.youracclaim.com/org/ibm/badge/basic-system-programming-on-ibm-z","file system; system programming; Mainframe; operations management; open network computing remote procedure call; computer programming; hierarchical file system; miis (programming language); shell (computing); c/al","IBM z/OS Mainframe Practitioner",3.0,"https://www.coursera.org/specializations/ibm-z-mainframe","This Professional Certificate is intended to provide the foundational skills required to launch a career in the enterprise platform that powers over 68% of worldwide transactions. Companies around the world are searching for these skills to run their critical system workloads. In this series of courses, the learner will be introduced to various operating systems, mainframe applications, and get real-time hands-on experience on an IBM Z server. The skills acquired on completion of this Professional Certificate allows the learner to pursue a career as a mainframe application developer, system programmer, system administrator, or a DBA Practitioner.\\n\\nThere are three courses in this specialisation, please be sure to complete all three in order to maximise your time and effort.\\n\\nCourse 1: Introduction to Enterprise Computing\\n\\nCourse 2 : Getting Started on Mainframe with z/OS Commands and Panels\\n\\nCourse 3 : Basic System Programming on IBM Z\\n\\nOn successful completion of this professional certificate, the learners will be eligible to claim the IBM z/OS Mainframe Practitioner Professional Certificate badge. More information can be found here","[3.5,9.2]","[NULL]","English","information-technology","support-and-operations","Lc0gdbRyEem-Ug7Y3cHV4A"]
["Computer Programming","System Programming","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["DevOps","Best Courses","DevOps Culture and Mindset","University of California, Davis","Beginner",18.6,4.81,"https://www.coursera.org/learn/devops-culture-and-mindset","This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work. We’ll learn about strategies to manage work, monitor it, keep it organized, and maintain a high level of quality by following key DevOps principles. We’ll also discuss various organizational models and structures that are used by companies in their DevOps transformations. You’ll learn about value stream mapping, and ensuring continuous workflow. Ultimately, we'll learn key ideas and tactics that you can employ at your own organizations to improve both time-to-market and increase the value delivered for your customers, no matter your product line or industry.","microservices; linux; best practice; integration testing; infrastructure as code; devops; device file; security engineering; continuous delivery; kanban","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,21.5]","[NULL]","English","computer-science","software-development","Q5Krn5BMEei3MQqxoqmsBA"]
["DevOps","Best Courses","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["DevOps","Best Courses","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["DevOps","Best Courses","Continuous Delivery & DevOps","University of Virginia","Beginner",10.7,4.59,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","integration testing; test automation; continuous delivery; continuous integration; devops; jenkins (software); microservices; software testing; unit testing; continuous testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,14.4]","[NULL]","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["DevOps","Continuous Delivery","DevOps Culture and Mindset","University of California, Davis","Beginner",18.6,4.81,"https://www.coursera.org/learn/devops-culture-and-mindset","This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work. We’ll learn about strategies to manage work, monitor it, keep it organized, and maintain a high level of quality by following key DevOps principles. We’ll also discuss various organizational models and structures that are used by companies in their DevOps transformations. You’ll learn about value stream mapping, and ensuring continuous workflow. Ultimately, we'll learn key ideas and tactics that you can employ at your own organizations to improve both time-to-market and increase the value delivered for your customers, no matter your product line or industry.","microservices; linux; best practice; integration testing; infrastructure as code; devops; device file; security engineering; continuous delivery; kanban","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,21.5]","[NULL]","English","computer-science","software-development","Q5Krn5BMEei3MQqxoqmsBA"]
["DevOps","Continuous Delivery","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.2,43.9]","[NULL]","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["DevOps","Continuous Delivery","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["DevOps","Continuous Delivery","Continuous Delivery & DevOps","University of Virginia","Beginner",10.7,4.59,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","integration testing; test automation; continuous delivery; continuous integration; devops; jenkins (software); microservices; software testing; unit testing; continuous testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,14.4]","[NULL]","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["DevOps","Continuous Delivery","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.52,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","usability; agile testing; software testing; agile software development; openfabrics alliance; sed; integration testing; software; software development; continuous delivery","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.1,16.3]","[NULL]","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["DevOps","Continuous Delivery","Getting Started with Google Kubernetes Engine","Google Cloud","Beginner",7.6,4.48,"https://www.coursera.org/learn/google-kubernetes-engine","This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.  Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.\\n\\nAt the end of the course, you will be able to:\\n• Understand container basics\\n• Containerize an existing application\\n• Understand Kubernetes concepts and principles\\n• Deploy applications to Kubernetes using the CLI\\n• Set up a continuous delivery pipeline using Jenkins\\n• Locate more documentation and training.\\n\\nTo get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.\\n\\nNote: This is an abbreviated overview of Kubernetes. For the full Kubernetes content see the Architecting with Google Kubernetes Engine Specialization or start with the Architecting with Google Kubernetes Engine: Foundations course.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google container engine; jenkins (software); spinnaker; google; kubernetes; cloud platforms; google cloud platform; continuous delivery; cloud computing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.5,8.2]","Spanish; Japanese","English","information-technology","cloud-computing","lAe6xrqUEeeJRwrm1qGMrA"]
["DevOps","Continuous Integration","Continuous Delivery & DevOps","University of Virginia","Beginner",10.7,4.59,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","integration testing; test automation; continuous delivery; continuous integration; devops; jenkins (software); microservices; software testing; unit testing; continuous testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,14.4]","[NULL]","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["DevOps","Continuous Integration","App Deployment, Debugging, and Performance","Google Cloud","Beginner",18.7,4.53,"https://www.coursera.org/learn/app-deployment-debugging-performance","In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and debug/monitor application performance. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nPrerequisites and prework:\\n\\n• Completed Google Cloud Platform Fundamentals or have equivalent experience\\n• Working knowledge of Node.js, Java, or Python\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Previous course(s) in the specialization","google cloud platform; cloud computing; google app engine; integration testing; google compute engine; google; debugging; software bug; cloud platforms; multicloud","Developing Applications with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/developing-apps-gcp","In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.\\n\\nThis class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.\\n\\nThis course teaches participants the following skills:\\n\\n• Use best practices for application development.\\n\\n• Choose the appropriate data storage option for application data.\\n\\n• Implement federated identity management.\\n\\n• Develop loosely coupled application components or microservices.\\n\\n• Integrate application components and data sources.\\n\\n• Debug, trace, and monitor applications.\\n\\n• Perform repeatable deployments with containers and deployment services.\\n\\n• Choose the appropriate application runtime environment; use Google Kubernetes Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.","[6.6,33.1]","[NULL]","English","computer-science","software-development","d26jecB3EeepZQrj6yeCug"]
["DevOps","Continuous Integration","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.52,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","usability; agile testing; software testing; agile software development; openfabrics alliance; sed; integration testing; software; software development; continuous delivery","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.1,16.3]","[NULL]","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["DevOps","Continuous Integration","Getting Started with Google Kubernetes Engine","Google Cloud","Beginner",7.6,4.48,"https://www.coursera.org/learn/google-kubernetes-engine","This one-week, accelerated online class equips students to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.  Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.\\n\\nAt the end of the course, you will be able to:\\n• Understand container basics\\n• Containerize an existing application\\n• Understand Kubernetes concepts and principles\\n• Deploy applications to Kubernetes using the CLI\\n• Set up a continuous delivery pipeline using Jenkins\\n• Locate more documentation and training.\\n\\nTo get the most of out of this course, learners should have basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx. We also recommend systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.\\n\\nNote: This is an abbreviated overview of Kubernetes. For the full Kubernetes content see the Architecting with Google Kubernetes Engine Specialization or start with the Architecting with Google Kubernetes Engine: Foundations course.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google container engine; jenkins (software); spinnaker; google; kubernetes; cloud platforms; google cloud platform; continuous delivery; cloud computing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.5,8.2]","Spanish; Japanese","English","information-technology","cloud-computing","lAe6xrqUEeeJRwrm1qGMrA"]
["DevOps","Devops Tools","Continuous Delivery & DevOps","University of Virginia","Beginner",10.7,4.59,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","integration testing; test automation; continuous delivery; continuous integration; devops; jenkins (software); microservices; software testing; unit testing; continuous testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,14.4]","[NULL]","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["Mobile Development","Best Courses","Introduction to Cisco Networking","Cisco","Advanced",27.7,4.8,"https://www.coursera.org/learn/cisco-networking-introduction","Welcome to the fifth and final course in the Cisco Networking Basics Specialization.\\n\\nIn the first four courses of this specialization, you were focused on understanding how computer networks work and how to access the network. Now that you have a firm grasp of how to build and secure a wireless home network, you will be introduced to the basics of adding Cisco routers and switches to networks that are typically deployed in small to medium sized businesses.  You will perform the basic setup and configuration steps needed to get switches and routers connected in a small network. You will also learn how to configure the router and the switch for remote access. You will use two different types of simulation tools to practice configuration steps. After completing required configuration tasks, you will use various show commands to verify configurations and use the ping command to verify basic connectivity between devices. Expect lots of opportunities for practicing Cisco device configuration. This course requires the use of Cisco Packet Tracer to simulate the network environment.  You will need to download and use Cisco Packet Tracer throughout the course.\\n\\nAt the end of this course, you will be able to:\\n\\n1. Describe the features and functions of various Cisco devices installed in a typical simple computer network.\\n2. Use the Packet Tracer simulation software to practice configuration tasks using the command line interface.\\n3. Connect and configure a Cisco switch and small business router in order to provide network connectivity in a small LAN environment.\\n4. Use a structured troubleshooting strategy to identify and fix network connectivity issues.\\n5. Enter and view the results of common Cisco CLI commands.\\n6. Use best practices to secure Cisco networking devices from unauthorized access.\\n7. Use command line utilities to test and verify network connectivity.\\n8. Use common network utilities to test connectivity between network attached devices.\\n9. Explain issues that can cause Internet connectivity problems.\\n10. Describe how to report problems and assist in troubleshooting connections with an ISP help desk.","Cisco; security; command-line interface; Cisco Routers; interfaces; Switches; wireless; java annotation; Troubleshooting; network security","Cisco Networking Basics",5.0,"https://www.coursera.org/specializations/networking-basics","Welcome to the Cisco Networking Basics Specialization. The five courses included in this specialization are designed for beginners in computing that want to understand the basics of how data is sent and received in a network and how small computer networks are created. People who may be in non-networking professions that want to understand how their home or small business networks actually work will enjoy this course.\\n\\nThese courses introduce a variety of concepts, practice activities and simulations that help build the learner’s skills and understanding of computer networking. You will learn how to set up a basic home network, configure devices for connectivity, understand how communication takes place on a network, and what minimal best practices should be implemented to secure the network. Learners will also be introduced to Cisco IOS® software used to manage Cisco routers and switches.\\n\\nPrevious networking knowledge is not required.","[6.3,43]","Portuguese; Russian; Greek","English","information-technology","networking","eHaflN6sEeaYmg59u1WXCA"]
["Mobile Development","Best Courses","Programming Mobile Applications for Android Handheld Systems: Part 2","University of Maryland, College Park","Advanced",18.3,4.74,"https://www.coursera.org/learn/android-programming-2","This course introduces you to the design and implementation of Android applications for mobile devices. You will build upon concepts from the prior course, including handling notifications, using multimedia and graphics and incorporating touch and gestures into your apps.","glossary of computer graphics; mobile app; parsing; android software development; selfie; real-time clock alarm; repository (version control); system time; notification area; xml","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,22.4]","[NULL]","English","computer-science","mobile-and-web-development","7_kA050XEeWIXgpWJNgyEw"]
["Mobile Development","Best Courses","IT Security: Defense against the digital dark arts","Google","Beginner",21.2,4.73,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","information security; encryption; wireless; integration testing; authentication; security; cryptography; network security; wireless security; cybersecurity","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.7]","Arabic; Spanish; Portuguese","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Mobile Development","Best Courses","Tables, Data & Networking in iOS","LearnQuest","Advanced",23.0,4.69,"https://www.coursera.org/learn/swift-ios-tables-networking","In this course you will learn how to work with data in iOS.  Data is the key ingredient for any functional app and one must learn how to properly display it to the user.  You will learn how to use tables and collection views to display data to users, and how to use Core Data to build more robust, data-driven applications.\\n\\nEvery app must have data.  Making web requests is by far the most common thing you will do as an iOS developer.  You will learn how to get your apps working with servers and external data. Throughout the course, you will create a ToDo app, including learning how to decode data from a web server as well as how to make POST requests.",".3ds; holddown; web development software; data partitioning; internet exchange points; objective-c; ios app development; swift (programming language); voice phishing; computer programming","Swift 5 iOS Application Developer",3.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[9.7,34.9]","[NULL]","English","computer-science","mobile-and-web-development","wPolI88hEemmpg7Oq2Di7A"]
["Mobile Development","Best Courses","Foundations of Objective-C App Development","University of California, Irvine","Beginner",18.9,4.67,"https://www.coursera.org/learn/objective-c","An introduction to the Objective-C programming language.  This will prepare you for more extensive iOS app development and build a foundation for advanced iOS development topics.\\n\\nObjective-C programming requires a Mac laptop or desktop computer.  An iOS device is optional if the learner is willing to working exclusively with the simulator.  Some learners have been able to work with an OS X virtual machine on Windows, but explaining how to do that is beyond the scope of this course.\\n\\nUpon completing this course, you will be able to:\\n1.       Read and write Objective-C\\n2.       Have a strong grasp of Objective-C objects\\n3.       Organize their code professionally using objects and blocks\\n4.       Prototype several entry-level apps","syntax; swift (programming language); objective-c; peering; surround sound; c programming; computer programming; ios app development; data structure; graphical environment manager","iOS Development for Creative Entrepreneurs",1.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[13.6,26.2]","[NULL]","English","computer-science","mobile-and-web-development","GF_8bTVpEeWfzhKP8GtZlQ"]
["Mobile Development","Best Courses","Introduction to iOS App Development with Swift 5","LearnQuest","Intermediate",16.4,4.65,"https://www.coursera.org/learn/ios-app-development-swift-5","Welcome to Introduction to iOS Application Development with Swift 5.\\n\\nIn this course you'll use your Swift skills to create iOS applications.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tWrite the code to build your very first iOS application\\n•\\tManage screen display with multiple views\\n•\\tUse auto layout and the interface builder\\n•\\tCreate applications with user interaction\\n•\\tDesign a user interface allowing for multiple screen size and direction\\n•\\tWrite and execute unit tests to keep your code error-free\\n•\\tPerform various calculations using Swift\\n\\nBy the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.","cover flow; objective-c; stack (abstract data type); mobile application development; ios app development; Apple Keynote; requests (software); calendar (apple); xcode; swift (programming language)","Swift 5 iOS Application Developer",2.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.7,24.4]","[NULL]","English","computer-science","software-development","5emj9LrXEem4thI30MvzOA"]
["Mobile Development","Best Courses","Networking and Security in iOS Applications","University of California, Irvine","Beginner",23.0,4.64,"https://www.coursera.org/learn/security","You will learn to extend your knowledge of making iOS apps so that they can securely interact with web services and receive push notifications. You'll learn how to store data securely on a device using Core Data.  You’ll also learn to securely deploy apps to the App Store and beta users over-the-air.\\n\\nThe format of the course is through a series of code tutorials.  We will walk you through the creation of several apps that you can keep as a personal app toolbox.  When you make your own apps after this course, you can bring in these capabilities as needed.  When necessary we pop out of the code tutorials to talk about concepts at a higher level so that what you are programming makes sense.\\n\\nUpon completing this course, you will be able to:\\n1.       Post Facebook, Twitter, Sina Weibo, Tencent Weibo messages to social media using single sign-on on behalf of a user.\\n2.       Use OAuth 2.0 to securely authenticate to Instagram and retrieve photos on behalf of a user\\n3.       JSON\\n4.       Describe JSON’s syntax\\n5.       Write well-formed JSON\\n6.       Work with JSON data objects in Objective-C\\n7.       Appropriately set the security settings for App Transport Security in iOS 9.0\\n8.       Use http, https and https with perfect forward secrecy to fetch web resources\\n9.       Obtain permissions to receive local push notifications\\n11.       Write an app that can send and receive local push notifications\\n12.       Obtain permissions to receive remote push notifications\\n13.       Write an app that can receive remote push notifications\\n14.       Authenticate using Apple’s cryptographic services such that the developer can use 3rd party infrastructure to send remote push notifications to their app.\\n15.       Securely store data on the user’s device.\\n16.       Authenticate using Apple’s cryptographic services such that they can deploy an app to the app store","web; facebook; peering; instagram; ios app development; oauth; web api; social network; push technology; application programming interfaces","iOS Development for Creative Entrepreneurs",2.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[17.2,26.8]","[NULL]","English","computer-science","computer-security-and-networks","8To4DTVtEeWWBQrVFXqd1w"]
["Mobile Development","Best Courses","Programming Mobile Applications for Android Handheld Systems: Part 1","University of Maryland, College Park","Intermediate",16.5,4.58,"https://www.coursera.org/learn/android-programming","This course introduces you to the design and implementation of Android applications for mobile devices. You will develop an app from scratch, assuming a basic knowledge of Java, and learn how to set up Android Studio, work with various Activities and create simple user interfaces to make your apps run smoothly.","computer programming; android (operating system); software development; android studio; mobile app; java annotation; software; android software development; user interface","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.9,20.7]","Russian; Portuguese","English","computer-science","mobile-and-web-development","ofcUj5MCEeWI6BJRAK7IKQ"]
["Mobile Development","Best Courses","Best Practices for iOS User Interface Design","University of California, Irvine","Beginner",22.1,4.5,"https://www.coursera.org/learn/ui","You will learn to develop sophisticated user interfaces for iOS, with a focus on user interface design best practices, UI animations, and responsive design. You will learn about the key UI widgets, mapping interfaces and view restoration.","notification center; flat design; user interface; human interface guidelines; peering; ios app development; user interface design; swift (programming language); soft key; navigation controls","iOS Development for Creative Entrepreneurs",3.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[16.9,26]","[NULL]","English","computer-science","mobile-and-web-development","bTYGrDVuEeW6RApRXdjJPw"]
["Mobile Development","Best Courses","Java for Android","Vanderbilt University","Intermediate",36.3,4.45,"https://www.coursera.org/learn/java-for-android","This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. \\n\\nIn particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods). Learners will apply these Java features in the context of core Android components (such as Activities and basic UI elements) by applying common tools (such as Android Studio) needed to develop Java programs and useful Android apps.  \\n\\nLearners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. There will be roughly 4-6 hours of student engagement time per week, including video lectures, quizzes, and programming assignments.","android studio; java syntax; syntax; object-oriented programming; logic programming; java programming; java (software platform); software; computer programming","Android App Development",1.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[13.2,57.6]","[NULL]","English","computer-science","mobile-and-web-development","8UQBnm04EeWyAQ6K5KeLkw"]
["Mobile Development","Android Development","Programming Mobile Applications for Android Handheld Systems: Part 2","University of Maryland, College Park","Advanced",18.3,4.74,"https://www.coursera.org/learn/android-programming-2","This course introduces you to the design and implementation of Android applications for mobile devices. You will build upon concepts from the prior course, including handling notifications, using multimedia and graphics and incorporating touch and gestures into your apps.","glossary of computer graphics; mobile app; parsing; android software development; selfie; real-time clock alarm; repository (version control); system time; notification area; xml","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,22.4]","[NULL]","English","computer-science","mobile-and-web-development","7_kA050XEeWIXgpWJNgyEw"]
["Mobile Development","Android Development","Programming Mobile Applications for Android Handheld Systems: Part 1","University of Maryland, College Park","Intermediate",16.5,4.58,"https://www.coursera.org/learn/android-programming","This course introduces you to the design and implementation of Android applications for mobile devices. You will develop an app from scratch, assuming a basic knowledge of Java, and learn how to set up Android Studio, work with various Activities and create simple user interfaces to make your apps run smoothly.","computer programming; android (operating system); software development; android studio; mobile app; java annotation; software; android software development; user interface","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.9,20.7]","Russian; Portuguese","English","computer-science","mobile-and-web-development","ofcUj5MCEeWI6BJRAK7IKQ"]
["Mobile Development","Android Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Mobile Development","Android Development","Java for Android","Vanderbilt University","Intermediate",36.3,4.45,"https://www.coursera.org/learn/java-for-android","This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. \\n\\nIn particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods). Learners will apply these Java features in the context of core Android components (such as Activities and basic UI elements) by applying common tools (such as Android Studio) needed to develop Java programs and useful Android apps.  \\n\\nLearners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. There will be roughly 4-6 hours of student engagement time per week, including video lectures, quizzes, and programming assignments.","android studio; java syntax; syntax; object-oriented programming; logic programming; java programming; java (software platform); software; computer programming","Android App Development",1.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[13.2,57.6]","[NULL]","English","computer-science","mobile-and-web-development","8UQBnm04EeWyAQ6K5KeLkw"]
["Mobile Development","Android Development","Engineering Maintainable Android Apps","Vanderbilt University","Advanced",14.8,4.45,"https://www.coursera.org/learn/engineeringandroidapps","Engineering Maintainable Android Apps, which is a 4 week MOOC that shows by example various methods for engineering maintainable Android apps, including test-driven development methods and how to develop/run unit tests using JUnit and Robotium (or equivalent automated testing frameworks for Android), as well as how to successfully apply common Java/Android software patterns to improve the extensibility and clarity of Android apps. Students will work on the appropriate automated unit quizzes, based on the material covered in the lecture videos. These lessons will demonstrate the benefits of good software engineering practices that are targeted at creating maintainable code for mobile apps.\\n\\nThere will be roughly 3-4 hours of student engagement time per week, including video lectures, and quizzes. The ordering of the modules within the course is designed to be flexible.  In particular, students can watch the videos in whatever order suits their experience and needs, e.g., they may want to watch the unit testing videos prior to the software pattern videos if they prefer to learn about unit testing first.","software engineering; unit testing; mobile application development; software testing; android software development; android studio; Security Design; software; junit; security","Android App Development",4.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[8.8,21.2]","[NULL]","English","computer-science","mobile-and-web-development","Wz6JsG3tEeWG0w42Sx-Gkw"]
["Mobile Development","Android Development","Developing Android Apps with App Inventor","The Hong Kong University of Science and Technology","Advanced",40.4,4.32,"https://www.coursera.org/learn/app-inventor-android","The course will give students hands-on experience in developing interesting Android applications. No previous experience in programming is needed, and the course is suitable for students with any level of computing experience. MIT App Inventor will be used in the course. It is a blocks-based programming tool that allows everyone, even novices, to start programming and build fully functional apps for Android devices. Students are encouraged to use their own Android devices for hands-on testing and exploitation.","web; android software development; app inventor for android; block (programming); text box; mobile application development; boolean data type; graphical environment manager; interfaces","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.3,59.9]","[NULL]","English","computer-science","mobile-and-web-development","SYBwo6vFEeallwq2LI5Lwg"]
["Mobile Development","Android Development","Build Your First Android App (Project-Centered Course)","CentraleSupélec","Advanced",18.0,4.3,"https://www.coursera.org/learn/android-app","What you’ll achieve:\\n\\nIn this project-centered course*, you’ll design, build, and distribute your own unique application for the Android mobile platform. We’ll provide you with a set of customizable building blocks that you can assemble to create many different types of apps, and that will help you become familiar with many important specificities of Android development. When you complete the project, in addition to having a personalized app that you can use and share, you’ll have the skills and background you need to move on to more advanced coursework in Android development. \\n\\n What you’ll need to get started:\\n\\nThis project-centered course is designed for learners who have some prior experience programming in Java, such as an introductory college course or Coursera’s Java Programming Specialization (https://www.coursera.org/specializations/java-programming).\\n\\nYou will need a computer with a stable Internet connection, but you will not need an Android phone - we’ll use free software that you can use to emulate a phone on your computer. We'll use Android Studio as IDE; it is compatible with most computer and operating systems. You can find detailed system requirements here: https://developer.android.com/sdk/index.html#Requirements.\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. \\n\\nTime: 10 hours of study, 10 hours of active project work","integration testing; software; android studio; software development; app inventor for android; storyboarding; interactivity; android software development; graphical environment manager","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.9,22.7]","[NULL]","English","computer-science","mobile-and-web-development","mKzzYp5YEeWVBgpelZA5Jw"]
["Mobile Development","Android Development","Android App Components - Services, Local IPC, and Content Providers","Vanderbilt University","Advanced",12.6,4.26,"https://www.coursera.org/learn/androidapps-2","This 4 week MOOC builds upon the core Android app components and concurrency frameworks covered in Course 2 by focusing on started and bound services, local inter-process communication (IPC), and content providers. Case study apps will be examined from multiple perspectives to learn how to program these app components using Android's material design paradigm. Students will work incrementally on a hands-on project involving a material design-based RSS reader app. Each week you will add additional capabilities to the project, based on material covered in the lecture videos. You'll spend roughly 4 hours per week watching video lectures, taking quizzes, and programming assignments with Java and Android.","linux; peering; concurrent computing; android studio; mobile application development; sqlite; android software development; middleware; inter-process communication","Android App Development",3.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[7.5,15.5]","[NULL]","English","computer-science","mobile-and-web-development","InPZ8m01EeW8nRIpKnwp7Q"]
["Mobile Development","Cross Platform Development","Multiplatform Mobile App Development with React Native","The Hong Kong University of Science and Technology","Advanced",28.6,4.54,"https://www.coursera.org/learn/react-native","This course focuses on developing truly cross-platform, native iOS and Android apps using React Native (Ver 0.55) and the Expo SDK (Ver. 27.0.0). React Native uses modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with React Native UI and layout support and access the native mobile platform's capabilities from Javascript using the Expo SDK. You should have already completed the Bootstrap 4 and the React courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your React and Javascript skills, (c) Use various features of React Native and the Expo SDK to build truly cross-platform mobile applications, and (d) Use Redux to design the architecture for a React-Redux application","xamarin; web development; mobile application development; node.js; javascript; angularjs; react (javascript library); mean (software bundle); front-end web development; mobile app","Full-Stack Web Development with React",3.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[17.8,40.9]","[NULL]","English","computer-science","mobile-and-web-development","CsfN7hC9EeiE7wpvHFhXPA"]
["Mobile Development","Cross Platform Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Mobile Development","Cross Platform Development","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Mobile Development","iOS Development","Introduction to Cisco Networking","Cisco","Advanced",27.7,4.8,"https://www.coursera.org/learn/cisco-networking-introduction","Welcome to the fifth and final course in the Cisco Networking Basics Specialization.\\n\\nIn the first four courses of this specialization, you were focused on understanding how computer networks work and how to access the network. Now that you have a firm grasp of how to build and secure a wireless home network, you will be introduced to the basics of adding Cisco routers and switches to networks that are typically deployed in small to medium sized businesses.  You will perform the basic setup and configuration steps needed to get switches and routers connected in a small network. You will also learn how to configure the router and the switch for remote access. You will use two different types of simulation tools to practice configuration steps. After completing required configuration tasks, you will use various show commands to verify configurations and use the ping command to verify basic connectivity between devices. Expect lots of opportunities for practicing Cisco device configuration. This course requires the use of Cisco Packet Tracer to simulate the network environment.  You will need to download and use Cisco Packet Tracer throughout the course.\\n\\nAt the end of this course, you will be able to:\\n\\n1. Describe the features and functions of various Cisco devices installed in a typical simple computer network.\\n2. Use the Packet Tracer simulation software to practice configuration tasks using the command line interface.\\n3. Connect and configure a Cisco switch and small business router in order to provide network connectivity in a small LAN environment.\\n4. Use a structured troubleshooting strategy to identify and fix network connectivity issues.\\n5. Enter and view the results of common Cisco CLI commands.\\n6. Use best practices to secure Cisco networking devices from unauthorized access.\\n7. Use command line utilities to test and verify network connectivity.\\n8. Use common network utilities to test connectivity between network attached devices.\\n9. Explain issues that can cause Internet connectivity problems.\\n10. Describe how to report problems and assist in troubleshooting connections with an ISP help desk.","Cisco; security; command-line interface; Cisco Routers; interfaces; Switches; wireless; java annotation; Troubleshooting; network security","Cisco Networking Basics",5.0,"https://www.coursera.org/specializations/networking-basics","Welcome to the Cisco Networking Basics Specialization. The five courses included in this specialization are designed for beginners in computing that want to understand the basics of how data is sent and received in a network and how small computer networks are created. People who may be in non-networking professions that want to understand how their home or small business networks actually work will enjoy this course.\\n\\nThese courses introduce a variety of concepts, practice activities and simulations that help build the learner’s skills and understanding of computer networking. You will learn how to set up a basic home network, configure devices for connectivity, understand how communication takes place on a network, and what minimal best practices should be implemented to secure the network. Learners will also be introduced to Cisco IOS® software used to manage Cisco routers and switches.\\n\\nPrevious networking knowledge is not required.","[6.3,43]","Portuguese; Russian; Greek","English","information-technology","networking","eHaflN6sEeaYmg59u1WXCA"]
["Mobile Development","iOS Development","iOS App Store & In-App Purchases","LearnQuest","Advanced",16.2,4.7,"https://www.coursera.org/learn/ios-swift-app-store-in-app-purchase","This course teaches basics of monetization on iOS, starting with in-app ads and then moving to in-app purchases. You will learn more advanced in-app purchase integrations, and you'll make both consumable and non-consumable purchases while building a realistic iOS app. Finally, you will learn how to take your apps even further with in-app subscriptions, and how to start and cancel subscriptions and create a delightful user experience.","itunes; xcode; adobe animate; coupon; Cash Disbursement; amazon music; mobile application development; ios app development; swift (programming language); objective-c","Swift 5 iOS Application Developer",4.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[8.7,23.3]","[NULL]","English","computer-science","mobile-and-web-development","kpia7fZyEemuNwqd0d-0ww"]
["Mobile Development","iOS Development","Tables, Data & Networking in iOS","LearnQuest","Advanced",23.0,4.69,"https://www.coursera.org/learn/swift-ios-tables-networking","In this course you will learn how to work with data in iOS.  Data is the key ingredient for any functional app and one must learn how to properly display it to the user.  You will learn how to use tables and collection views to display data to users, and how to use Core Data to build more robust, data-driven applications.\\n\\nEvery app must have data.  Making web requests is by far the most common thing you will do as an iOS developer.  You will learn how to get your apps working with servers and external data. Throughout the course, you will create a ToDo app, including learning how to decode data from a web server as well as how to make POST requests.",".3ds; holddown; web development software; data partitioning; internet exchange points; objective-c; ios app development; swift (programming language); voice phishing; computer programming","Swift 5 iOS Application Developer",3.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[9.7,34.9]","[NULL]","English","computer-science","mobile-and-web-development","wPolI88hEemmpg7Oq2Di7A"]
["Mobile Development","iOS Development","Foundations of Objective-C App Development","University of California, Irvine","Beginner",18.9,4.67,"https://www.coursera.org/learn/objective-c","An introduction to the Objective-C programming language.  This will prepare you for more extensive iOS app development and build a foundation for advanced iOS development topics.\\n\\nObjective-C programming requires a Mac laptop or desktop computer.  An iOS device is optional if the learner is willing to working exclusively with the simulator.  Some learners have been able to work with an OS X virtual machine on Windows, but explaining how to do that is beyond the scope of this course.\\n\\nUpon completing this course, you will be able to:\\n1.       Read and write Objective-C\\n2.       Have a strong grasp of Objective-C objects\\n3.       Organize their code professionally using objects and blocks\\n4.       Prototype several entry-level apps","syntax; swift (programming language); objective-c; peering; surround sound; c programming; computer programming; ios app development; data structure; graphical environment manager","iOS Development for Creative Entrepreneurs",1.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[13.6,26.2]","[NULL]","English","computer-science","mobile-and-web-development","GF_8bTVpEeWfzhKP8GtZlQ"]
["Mobile Development","iOS Development","Introduction to iOS App Development with Swift 5","LearnQuest","Intermediate",16.4,4.65,"https://www.coursera.org/learn/ios-app-development-swift-5","Welcome to Introduction to iOS Application Development with Swift 5.\\n\\nIn this course you'll use your Swift skills to create iOS applications.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tWrite the code to build your very first iOS application\\n•\\tManage screen display with multiple views\\n•\\tUse auto layout and the interface builder\\n•\\tCreate applications with user interaction\\n•\\tDesign a user interface allowing for multiple screen size and direction\\n•\\tWrite and execute unit tests to keep your code error-free\\n•\\tPerform various calculations using Swift\\n\\nBy the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.","cover flow; objective-c; stack (abstract data type); mobile application development; ios app development; Apple Keynote; requests (software); calendar (apple); xcode; swift (programming language)","Swift 5 iOS Application Developer",2.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.7,24.4]","[NULL]","English","computer-science","software-development","5emj9LrXEem4thI30MvzOA"]
["Mobile Development","iOS Development","Networking and Security in iOS Applications","University of California, Irvine","Beginner",23.0,4.64,"https://www.coursera.org/learn/security","You will learn to extend your knowledge of making iOS apps so that they can securely interact with web services and receive push notifications. You'll learn how to store data securely on a device using Core Data.  You’ll also learn to securely deploy apps to the App Store and beta users over-the-air.\\n\\nThe format of the course is through a series of code tutorials.  We will walk you through the creation of several apps that you can keep as a personal app toolbox.  When you make your own apps after this course, you can bring in these capabilities as needed.  When necessary we pop out of the code tutorials to talk about concepts at a higher level so that what you are programming makes sense.\\n\\nUpon completing this course, you will be able to:\\n1.       Post Facebook, Twitter, Sina Weibo, Tencent Weibo messages to social media using single sign-on on behalf of a user.\\n2.       Use OAuth 2.0 to securely authenticate to Instagram and retrieve photos on behalf of a user\\n3.       JSON\\n4.       Describe JSON’s syntax\\n5.       Write well-formed JSON\\n6.       Work with JSON data objects in Objective-C\\n7.       Appropriately set the security settings for App Transport Security in iOS 9.0\\n8.       Use http, https and https with perfect forward secrecy to fetch web resources\\n9.       Obtain permissions to receive local push notifications\\n11.       Write an app that can send and receive local push notifications\\n12.       Obtain permissions to receive remote push notifications\\n13.       Write an app that can receive remote push notifications\\n14.       Authenticate using Apple’s cryptographic services such that the developer can use 3rd party infrastructure to send remote push notifications to their app.\\n15.       Securely store data on the user’s device.\\n16.       Authenticate using Apple’s cryptographic services such that they can deploy an app to the app store","web; facebook; peering; instagram; ios app development; oauth; web api; social network; push technology; application programming interfaces","iOS Development for Creative Entrepreneurs",2.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[17.2,26.8]","[NULL]","English","computer-science","computer-security-and-networks","8To4DTVtEeWWBQrVFXqd1w"]
["Mobile Development","iOS Development","Games, Sensors and Media","University of California, Irvine","Beginner",22.5,4.55,"https://www.coursera.org/learn/games","You will learn to make fluid digital interactive experiences that are suitable for gaming and use the advanced sensor hardware built into the iPhone and iPad. This includes drawing 2D graphics, playing sounds and music, integrating with Game Center, the iOS physics engine and detecting device orientation and location.\\n\\nUpon completing this course, you will be able to:\\n1.       Use the reverse geocode service to convert latitude and longitude to location names\\n2.       Implement GeoFences to make an app efficiently monitor an iOS device’s location\\n3.       Leverage the power of accelerometers, magnetometers and gyroscopes to orient a device in physical space\\n4.       Create an app that responds to ambient light levels by using screen brightness as a proxy\\n5.       Play sound effects and other media as audio\\n6.       Make a game like Pong\\n7.       Make a game like Breakout\\n8.       Manipulate graphics in a game environment\\n9.       Use the physics engine to create realistic game worlds\\n10.     React to multi-touch events for complex interaction design\\n11.     Detect and respond to collisions and contacts efficiently\\n12.     Chain complex sequences of actions, animations and sounds with precision\\n13.     Animate multi-frame sprites\\n14.     Create particle systems to simulate fire, smoke and magic (and more!)\\n15.     Interface with Game Center to create leaderboards and achievements that can be shared through social networks","particle system; physics engine; swift (programming language); multi-touch; notification center; smartphones; ios app development; lookup table; peering; motion detector","iOS Development for Creative Entrepreneurs",4.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[16.9,26.3]","[NULL]","English","computer-science","software-development","5seL5DVuEeWa2g6sjqf03Q"]
["Mobile Development","iOS Development","Best Practices for iOS User Interface Design","University of California, Irvine","Beginner",22.1,4.5,"https://www.coursera.org/learn/ui","You will learn to develop sophisticated user interfaces for iOS, with a focus on user interface design best practices, UI animations, and responsive design. You will learn about the key UI widgets, mapping interfaces and view restoration.","notification center; flat design; user interface; human interface guidelines; peering; ios app development; user interface design; swift (programming language); soft key; navigation controls","iOS Development for Creative Entrepreneurs",3.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[16.9,26]","[NULL]","English","computer-science","mobile-and-web-development","bTYGrDVuEeW6RApRXdjJPw"]
["Mobile Development","iOS Development","Introduction to Programming in Swift 5","LearnQuest","Beginner",21.1,4.24,"https://www.coursera.org/learn/swift-5-programming-introduction","Welcome to Introduction to Programming in Swift 5.\\n\\nIn this course we will introduce you to the absolute basics of the Swift programming language.  Whether you are a brand new programmer or have experience with other programming languages this course is for you.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tAn Introduction to Swift 5 programming concepts\\n•\\tInstalling the necessary tools\\n•\\tWorking with data such as Integers and Strings\\n•\\tCreating reusable code with functions\\n•\\tWorking with data constructs such as arrays and dictionaries\\n•\\tObject-oriented programming\\n•\\tModel View Controller\\n\\nBy the end of this course you will know how to build simple programs with the Swift programming language and you will be ready to learn iOS mobile development.","ios app development; boolean data type; swift (programming language); xcode; mobile application development; euler's totient function; programming language; mobile app; language; computer programming","Swift 5 iOS Application Developer",1.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.8,29.7]","[NULL]","English","computer-science","software-development","FSiMnrrVEemgqQ5Sr_yJXA"]
["Mobile Development","Mobile Development Tools","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Mobile Development","Mobile Security","IT Security: Defense against the digital dark arts","Google","Beginner",21.2,4.73,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.","information security; encryption; wireless; integration testing; authentication; security; cryptography; network security; wireless security; cybersecurity","Google IT Support",5.0,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.7]","Arabic; Spanish; Portuguese","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["Mobile Development","Mobile Security","Enterprise and Infrastructure Security","New York University Tandon School of Engineering","Advanced",12.9,4.66,"https://www.coursera.org/learn/enterprise-infrastructure-security","This course introduces a series of advanced and current topics in cyber security, many of which are especially relevant in modern enterprise and infrastructure settings. The basics of enterprise compliance frameworks are provided with introduction to NIST and PCI. Hybrid cloud architectures are shown to provide an opportunity to fix many of the security weaknesses in modern perimeter local area networks.\\n \\nEmerging security issues in blockchain, blinding algorithms, Internet of Things (IoT), and critical infrastructure protection are also described for learners in the context of cyber risk. Mobile security and cloud security hyper-resilience approaches are also introduced. The course completes with some practical advice for learners on how to plan careers in cyber security.","security awareness; information security; critical infrastructure protection; cloud computing; onion routing; cybersecurity; cloud computing security; security; enterprise architecture; blockchains","Introduction to Cyber Security",4.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[6,18.4]","[NULL]","English","computer-science","computer-security-and-networks","1WnfIlgsEee3CwoIJ_9DVg"]
["Mobile Development","Mobile Security","Cybersecurity and Mobility","University System of Georgia","Beginner",8.3,4.37,"https://www.coursera.org/learn/cybersecurity-mobility","This course is for you if you are interested in transitioning toward a managerial role in cybersecurity and mobility. Through interviews with industry experts in this area, you will be able to analyze innovations powering the rapid spread of information technology and how they present new challenges for protecting data. For example, mobile devices increase convenience but often bypass traditional security measures. After this course, you will be able to describe how the nature of the threat evolves, as culprits employ a burgeoning set of sophisticated tools to take advantage of our growing reliance on networks for critical-data exchange.\\n\\nIf you want to pursue a career in the public sector, the stakes are high as well. The proliferation of hackers, inevitable human errors, bring-your-own-device (BYOD) initiatives, and the ever-broadening need to share information weigh heavily on government and education organizations, and consume substantial resources. The Pentagon, for example, has proposed to spend $23 billion on network security initiatives through 2018. This sounds like a large sum, until you consider the scope and importance of the U.S. government information resources this investment must protect.\\n\\nAfter completing the course modules you will be able to explain how yesterday’s prevention strategies are no longer adequate for stopping advanced, targeted attacks. Effective cybersecurity must be multi-dimensional and tiered, as threats can originate from virtually anywhere, target numerous levels of an organization, and sometimes persist for months or years before an information security staff is aware of an attack or breach. Therefore securing networks requires a holistic approach that incorporates several elements.","ordered pair; mobile security; network security; internet of things; security; curve fitting; integration testing; cybersecurity; sed; openfabrics alliance","Cybersecurity: Developing a Program for Your Business",1.0,"https://www.coursera.org/specializations/cybersecurity-developing-program-for-business","Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.","[4.9,10.2]","[NULL]","English","computer-science","computer-security-and-networks","BuO0neR5EeWYOBIRup69HQ"]
["Mobile Development","Other Mobile Programming Languages","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Mobile Development","Swift Programming","iOS App Store & In-App Purchases","LearnQuest","Advanced",16.2,4.7,"https://www.coursera.org/learn/ios-swift-app-store-in-app-purchase","This course teaches basics of monetization on iOS, starting with in-app ads and then moving to in-app purchases. You will learn more advanced in-app purchase integrations, and you'll make both consumable and non-consumable purchases while building a realistic iOS app. Finally, you will learn how to take your apps even further with in-app subscriptions, and how to start and cancel subscriptions and create a delightful user experience.","itunes; xcode; adobe animate; coupon; Cash Disbursement; amazon music; mobile application development; ios app development; swift (programming language); objective-c","Swift 5 iOS Application Developer",4.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[8.7,23.3]","[NULL]","English","computer-science","mobile-and-web-development","kpia7fZyEemuNwqd0d-0ww"]
["Mobile Development","Swift Programming","Tables, Data & Networking in iOS","LearnQuest","Advanced",23.0,4.69,"https://www.coursera.org/learn/swift-ios-tables-networking","In this course you will learn how to work with data in iOS.  Data is the key ingredient for any functional app and one must learn how to properly display it to the user.  You will learn how to use tables and collection views to display data to users, and how to use Core Data to build more robust, data-driven applications.\\n\\nEvery app must have data.  Making web requests is by far the most common thing you will do as an iOS developer.  You will learn how to get your apps working with servers and external data. Throughout the course, you will create a ToDo app, including learning how to decode data from a web server as well as how to make POST requests.",".3ds; holddown; web development software; data partitioning; internet exchange points; objective-c; ios app development; swift (programming language); voice phishing; computer programming","Swift 5 iOS Application Developer",3.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[9.7,34.9]","[NULL]","English","computer-science","mobile-and-web-development","wPolI88hEemmpg7Oq2Di7A"]
["Mobile Development","Swift Programming","Introduction to iOS App Development with Swift 5","LearnQuest","Intermediate",16.4,4.65,"https://www.coursera.org/learn/ios-app-development-swift-5","Welcome to Introduction to iOS Application Development with Swift 5.\\n\\nIn this course you'll use your Swift skills to create iOS applications.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tWrite the code to build your very first iOS application\\n•\\tManage screen display with multiple views\\n•\\tUse auto layout and the interface builder\\n•\\tCreate applications with user interaction\\n•\\tDesign a user interface allowing for multiple screen size and direction\\n•\\tWrite and execute unit tests to keep your code error-free\\n•\\tPerform various calculations using Swift\\n\\nBy the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.","cover flow; objective-c; stack (abstract data type); mobile application development; ios app development; Apple Keynote; requests (software); calendar (apple); xcode; swift (programming language)","Swift 5 iOS Application Developer",2.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.7,24.4]","[NULL]","English","computer-science","software-development","5emj9LrXEem4thI30MvzOA"]
["Mobile Development","Swift Programming","Introduction to Programming in Swift 5","LearnQuest","Beginner",21.1,4.24,"https://www.coursera.org/learn/swift-5-programming-introduction","Welcome to Introduction to Programming in Swift 5.\\n\\nIn this course we will introduce you to the absolute basics of the Swift programming language.  Whether you are a brand new programmer or have experience with other programming languages this course is for you.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tAn Introduction to Swift 5 programming concepts\\n•\\tInstalling the necessary tools\\n•\\tWorking with data such as Integers and Strings\\n•\\tCreating reusable code with functions\\n•\\tWorking with data constructs such as arrays and dictionaries\\n•\\tObject-oriented programming\\n•\\tModel View Controller\\n\\nBy the end of this course you will know how to build simple programs with the Swift programming language and you will be ready to learn iOS mobile development.","ios app development; boolean data type; swift (programming language); xcode; mobile application development; euler's totient function; programming language; mobile app; language; computer programming","Swift 5 iOS Application Developer",1.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.8,29.7]","[NULL]","English","computer-science","software-development","FSiMnrrVEemgqQ5Sr_yJXA"]
["Software Engineering","Best Courses","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Software Engineering","Best Courses","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Software Engineering","Best Courses","Programming for Everybody (Getting Started with Python)","University of Michigan","Beginner",18.8,4.81,"https://www.coursera.org/learn/python","This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.  The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.","python syntax and semantics; computer programming; python programming; basic programming language; syntax; omega language; language; semantics; programming language; context-sensitive language","Python for Everybody",1.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.8,24.8]","German; Korean; Chinese; Arabic","English","computer-science","software-development","7A1yFTaREeWWBQrVFXqd1w"]
["Software Engineering","Best Courses","Introduction to Git and GitHub","Google","Advanced",12.6,4.81,"https://www.coursera.org/learn/introduction-git-github","In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. \\n\\nThroughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub.\\n\\nBy the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! \\n\\nIn order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.","software engineering; linux; python programming; google; software testing; test automation; github; google cloud platform; cloud computing; version control","Google IT Automation with Python",3.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[7.9,16.8]","[NULL]","English","information-technology","cloud-computing","-qIqP1FsEemNmQ6a3syMJg"]
["Software Engineering","Best Courses","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Software Engineering","Best Courses","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Software Engineering","Best Courses","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Software Engineering","Best Courses","Object-Oriented Design","University of Alberta","Advanced",17.7,4.69,"https://www.coursera.org/learn/object-oriented-design","This course takes Java beginners to the next level by covering object-oriented analysis and design. You will discover how to create modular, flexible, and reusable software, by applying object-oriented design principles and guidelines. And, you will be able to communicate these designs in a visual notation known as Unified Modelling Language (UML).\\n\\nYou will be challenged in the Capstone Project to apply your knowledge of object-oriented design by evolving and documenting the Java codebase for an Android application with corresponding UML documentation.\\n\\nAfter completing this course, you will be able to: \\n• Apply the Class Responsibility Collaborator (CRC) technique to analyze and design the object-oriented model for a problem.\\t\\n• Explain and apply object-oriented modeling principles and their purpose (e.g., abstraction, encapsulation, decomposition, generalization).\\n• Explain and apply different types of inheritance\\n• Explain the difference between association, aggregation, and composition dependencies.\\n• Express object-oriented models as Unified Modeling Language (UML) class diagrams.\\n• Translate between UML class diagrams and equivalent Java code.\\n• Apply design guidelines for modularity, separation of concerns, information hiding, and conceptual integrity to create a flexible, reusable, maintainable design.\\n• Explain the tradeoff between cohesion and coupling.","analysis; uml tools; unified modeling language; object-oriented analysis and design; computer programming; software design; object-oriented design; state diagram; object-oriented programming; software","Software Design and Architecture",1.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[9.2,22.8]","[NULL]","English","computer-science","software-development","Xpv78UYjEeemlQrrzf9X-A"]
["Software Engineering","Best Courses","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Software Engineering","Best Courses","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Software Engineering","Agile Software Development","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","project; software; software development; risk; finger protocol; Planning; agile management; management; plan; agile software development","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.8]","[NULL]","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["Software Engineering","Agile Software Development","Agile Meets Design Thinking","University of Virginia","Beginner",15.5,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user experience; persona (user experience); experience; user story; management; agile software development; software development; software; storyboarding; design thinking","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.6]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["Software Engineering","Agile Software Development","Managing an Agile Team","University of Virginia","Beginner",16.5,4.65,"https://www.coursera.org/learn/uva-darden-agile-team-management","While agile has become the de facto standard for managing digital innovation teams, many wonder if they’re doing it ‘right’. Twitter is full of jokes about how teams say they do agile but don’t ‘really’ do it. The reality is that getting the most out of agile is less about observing specific procedures and more about how a team focuses and measures their progress. \\n\\nRather than just boring you with an accounting of agile methodologies, this course focuses on helping you better charter your team’s focus, definition of success, and practice of agile. While learning about agile mainstays like Scrum, XP, and kanban, you’ll also learn to help your team ask the right questions about how they’re working and facilitate good answers on how agile can help.    \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","iteration; management; scrum (software development); agile software development; software; agile management; openfabrics alliance; link aggregation; integration testing; software development","Agile Development",3.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.7,18.6]","Arabic","English","computer-science","design-and-product","94jQ-3EnEeWhZxJhllGpHQ"]
["Software Engineering","Agile Software Development","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","software; management; unified process; software development; agile software development; kanban; scrum (software development); process; software development process; lean software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["Software Engineering","Agile Software Development","Agile with Atlassian Jira","Atlassian","Beginner",11.2,4.59,"https://www.coursera.org/learn/agile-atlassian-jira","Agile teams use “just enough” planning and an incremental approach to accomplishing the work of the team. Every project and every team uses a custom agile methodology. This course discusses common foundational principles and practices used by agile methodologies, providing the student a flexible set of tools to use in any role (e.g. product owner, scrum master, project manager, team member) on any agile team. This course mainly discusses agile and lean principles, the kanban and scrum agile methodologies, and uses Atlassian Jira Software Cloud as the main software tool to apply hands-on learning of the topics. The course includes instruction on \"classic\" Jira projects as well as the new \"next-gen\" Jira projects.\\n\\nStudents can use the free plan of Atlassian Jira Software Cloud to complete the hands-on labs associated with this course. By the time you have completed this course, you will have a strong foundational understanding of agile principles and practices, and strong hands-on experience with Atlassian Jira Software Cloud. You will be the site administrator for your Jira account, so you will be able to perform basic administration tasks on your site. You should be able to continuously configure your Jira project(s) to match your team's custom agile methodology.\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs using Atlassian Jira Software Cloud require you to have a Windows, Mac or Linux computer.\\n\\nThis course tries to be as concise as possible. It will probably take you about 6-12 hours to go through, but your mileage may vary. It is highly encouraged that you apply what you learn to managing personal agile projects after the course is complete.","software; agile software development; project; project management; agile management; management; scrum (software development); kanban; jira (software); software development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.1]","[NULL]","English","computer-science","software-development","MhlnlfD8EeesnRJUyZNfHA"]
["Software Engineering","Agile Software Development","Running Product Design Sprints","University of Virginia","Intermediate",14.2,4.54,"https://www.coursera.org/learn/uva-darden-running-design-sprints","Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. \\n \\nDesign sprints allow you to meet client's desire for quick, specific outcomes while making time to do things right. In this course, we'll show you how to plan and run situation-appropriate sprints to avoid waste and deliver value sooner. You'll explore how to do this across customer discovery, testing with Learn Startup, usability testing, and product architecture. \\n \\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","openfabrics alliance; agile management; java annotation; design sprint; software testing; scrum (software development); management; usability; integration testing; usability testing","Agile Development",2.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[9.2,16.5]","[NULL]","English","computer-science","design-and-product","qVetW596EeW6bw4ogk2HGQ"]
["Software Engineering","Agile Software Development","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.54,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","finger protocol; product (business); agile manifesto; product management; software; product; software development; management; software product management; agile software development","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[2.9,7.4]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["Software Engineering","Agile Software Development","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.52,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","usability; agile testing; software testing; agile software development; openfabrics alliance; sed; integration testing; software; software development; continuous delivery","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.1,16.3]","[NULL]","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["Software Engineering","Agile Software Development","Agile Development in Practice (Project-centered Course)","University of Virginia","Advanced",11.8,4.39,"https://www.coursera.org/learn/uva-darden-agile-development-capstone","This project-centered course provides a guided opportunity for you to practice your agile development skills. Using the venture design process that frames the four courses in this Specialization, you will apply agile processes to a project of your choice or to a provided venture concept. From persona, problem scenario, and user story development to designing user testing and product launch, you’ll practice leading an agile project. You’ll finish the course with a portfolio-building design brief that demonstrates your learning and specialized skills in agile product development.\\n\\nTo get the most out of this course, we suggest you first complete the other four courses in the Agile Development Specialization: Agile Meets Design Thinking; Running Product Design Sprints, Managing an Agile Team, Testing with Agile. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 40 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","software development; management; agile management; project management; test automation; agile software development; scrum (software development); software; program management; software testing","Agile Development",5.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.3,14.7]","[NULL]","English","computer-science","design-and-product","OdCMA6NeEeWw6Q7sxrDlWQ"]
["Software Engineering","Application Development","Design Patterns","University of Alberta","Intermediate",16.1,4.6,"https://www.coursera.org/learn/design-patterns","This course extends object-oriented analysis and design by incorporating design patterns to create interactive applications. Through a survey of established design patterns, you will gain a foundation for more complex software applications. Finally, you will identify problematic software designs by referencing a catalog of code smells.\\n\\nYou will be challenged in the Capstone Project to redesign an existing Java-based Android application to implement a combination of design patterns. You will also critique a given Java codebase for code smells.\\n\\nAfter completing this course, you will be able to: \\n• Demonstrate how to use design patterns to address user interface design issues.\\t\\n• Identify the most suitable design pattern to address a given application design problem.\\t\\n• Apply design principles (e.g., open-closed, dependency inversion, least knowledge).\\t\\n• Critique code by identifying and refactoring anti-patterns.\\n• Apply the model-view-controller architectural pattern.","software architecture; architecture; behavioral pattern; creational pattern; software; structural pattern; design pattern; microservices; software design; code smell","Software Design and Architecture",2.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[8.3,25.2]","[NULL]","English","computer-science","software-development","CVJg1EYkEeejjw678ALX-g"]
["Software Engineering","Application Development","Introduction to Embedded Systems Software and Development Environments","University of Colorado Boulder","Advanced",26.4,4.4,"https://www.coursera.org/learn/introduction-embedded-systems","Welcome to the Introduction to Embedded Systems Software and Development Environments. This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system using the GNU Toolchain GCC, using Git version control, and developing software in Linux on a Virtual Machine. The course concludes with a project where you will create your own build system and firmware that can manipulate memory.\\n\\nThe second course in this 2 course series , Embedded Software and Hardware Architecture,  will use hardware tools to program and debug microcontrollers with bare-metal firmware. Using a Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write numerous programs, and see your work execute on your own embedded platform!","compiler; microcontroller; Electrical Engineering; micro-controller operating systems; arm; embedded linux; makefile; architecture; embedded c; arm architecture","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.7,35.5]","[NULL]","English","physical-science-and-engineering","electrical-engineering","sMFd0muvEea_2g4jvCTCSQ"]
["Software Engineering","Software Architecture","Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)","Hebrew University of Jerusalem","Beginner",18.8,4.89,"https://www.coursera.org/learn/build-a-computer","What you’ll achieve:\\nIn this project-centered course* you will build a modern computer system, from the ground up. We’ll divide this fascinating journey into six hands-on projects that will take you from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. In the process, you will learn - in the most direct and constructive way - how computers work, and how they are designed.\\n\\nWhat you’ll need:\\nThis is a self-contained course: all the knowledge necessary to succeed in the course and build the computer system will be given as part of the learning experience. Therefore, we assume no previous computer science or engineering knowledge, and all learners are welcome aboard. You will need no physical materials, since you will build the computer on your own PC, using a software-based hardware simulator, just like real computers are designed by computer engineers in the field. The hardware simulator, as well as other software tools, will be supplied freely after you enroll in the course.\\n\\nCourse format:\\nThe course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 5-10 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling \"nand2tetris TED talk\".\\n\\n*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.","4dos; architecture; omega language; logic gate; assembly languages; machine code; hardware description language; language; computer architecture; logic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,25]","Hebrew","English","computer-science","algorithms","ct7G8DVLEeWfzhKP8GtZlQ"]
["Software Engineering","Software Architecture","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Software Engineering","Software Architecture","Object-Oriented Design","University of Alberta","Advanced",17.7,4.69,"https://www.coursera.org/learn/object-oriented-design","This course takes Java beginners to the next level by covering object-oriented analysis and design. You will discover how to create modular, flexible, and reusable software, by applying object-oriented design principles and guidelines. And, you will be able to communicate these designs in a visual notation known as Unified Modelling Language (UML).\\n\\nYou will be challenged in the Capstone Project to apply your knowledge of object-oriented design by evolving and documenting the Java codebase for an Android application with corresponding UML documentation.\\n\\nAfter completing this course, you will be able to: \\n• Apply the Class Responsibility Collaborator (CRC) technique to analyze and design the object-oriented model for a problem.\\t\\n• Explain and apply object-oriented modeling principles and their purpose (e.g., abstraction, encapsulation, decomposition, generalization).\\n• Explain and apply different types of inheritance\\n• Explain the difference between association, aggregation, and composition dependencies.\\n• Express object-oriented models as Unified Modeling Language (UML) class diagrams.\\n• Translate between UML class diagrams and equivalent Java code.\\n• Apply design guidelines for modularity, separation of concerns, information hiding, and conceptual integrity to create a flexible, reusable, maintainable design.\\n• Explain the tradeoff between cohesion and coupling.","analysis; uml tools; unified modeling language; object-oriented analysis and design; computer programming; software design; object-oriented design; state diagram; object-oriented programming; software","Software Design and Architecture",1.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[9.2,22.8]","[NULL]","English","computer-science","software-development","Xpv78UYjEeemlQrrzf9X-A"]
["Software Engineering","Software Architecture","Design Patterns","University of Alberta","Intermediate",16.1,4.6,"https://www.coursera.org/learn/design-patterns","This course extends object-oriented analysis and design by incorporating design patterns to create interactive applications. Through a survey of established design patterns, you will gain a foundation for more complex software applications. Finally, you will identify problematic software designs by referencing a catalog of code smells.\\n\\nYou will be challenged in the Capstone Project to redesign an existing Java-based Android application to implement a combination of design patterns. You will also critique a given Java codebase for code smells.\\n\\nAfter completing this course, you will be able to: \\n• Demonstrate how to use design patterns to address user interface design issues.\\t\\n• Identify the most suitable design pattern to address a given application design problem.\\t\\n• Apply design principles (e.g., open-closed, dependency inversion, least knowledge).\\t\\n• Critique code by identifying and refactoring anti-patterns.\\n• Apply the model-view-controller architectural pattern.","software architecture; architecture; behavioral pattern; creational pattern; software; structural pattern; design pattern; microservices; software design; code smell","Software Design and Architecture",2.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[8.3,25.2]","[NULL]","English","computer-science","software-development","CVJg1EYkEeejjw678ALX-g"]
["Software Engineering","Software Architecture","Service-Oriented Architecture","University of Alberta","Advanced",12.4,4.43,"https://www.coursera.org/learn/service-oriented-architecture","Based on an understanding of architectural styles, you will review architectures for web applications, then explore the basics of Service-Oriented Architecture (SOA) in two approaches: Web Services (WS*) and Representational State Transfer (REST) architecture. \\n\\nIn the Capstone Project you will connect a Java-based Android application with Elasticsearch, a web service with a REST application programmer interface (API).\\n\\nAfter completing this course, you will be able to: \\n• Describe SOA (Service-Oriented Architecture) to structure web-based systems.\\n• Explain WS* services (i.e., SOAP over HTTP, WSDL, UDDI, BPEL).\\t\\n• Apply REST architecture (i.e., JSON over HTTP, URI).\\t\\n• Identify REST design principles.\\t\\n• Create a system using REST interfaces.\\t\\n• Apply microservice architecture.","software architecture; representational state transfer; web services description language; service-oriented architecture; web service; microservices; architecture; application programming interfaces; hypertext transfer protocol; web","Software Design and Architecture",4.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[6,18]","[NULL]","English","computer-science","software-development","ZLc4IHCQEee-hhK9f0kJ5A"]
["Software Engineering","Software Architecture","Software Architecture","University of Alberta","Advanced",15.0,4.28,"https://www.coursera.org/learn/software-architecture","The way that software components — subroutines, classes, functions, etc. —  are arranged,  and the interactions between them, is called architecture. In this course you will study the ways these architectures are represented, both in UML and other visual tools. We will introduce the most common architectures, their qualities, and tradeoffs. We will talk about how architectures are evaluated, what makes a good architecture, and an architecture can be improved. We'll also talk about how the architecture touches on the process of software development.\\n\\nIn the Capstone Project you will document a Java-based Android application with UML diagrams and analyze evaluate the application’s architecture using the Architecture Tradeoff Analysis Method (ATAM).\\n\\nAfter completing this course, you will be able to: \\n• Compare and contrast the components, connections, protocols, topologies, constraints, tradeoffs, and variations of different types of architectural styles used in the design of applications and systems (e.g., main program and subroutine, object-oriented, interpreters, pipes and filters, database centric, event-based).\\t\\n• Describe the properties of layered and n-tier architectures.\\t\\n• Create UML ipackage, component, and deployment diagrams to express the architectural structure of a system.\\t\\n• Explain the behaviour of a system using UML activity diagrams.\\t\\n• Document a multi-application system with a layered architecture.","design pattern; software design; non-functional requirement; software architecture; microservices; software; software engineering; unified modeling language; topology; architecture","Software Design and Architecture",3.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[8.2,22.5]","[NULL]","English","computer-science","software-development","07aYjGy8EeeB2gpod3ECDg"]
["Software Engineering","Software Engineering Tools","Using Git for Distributed Development","The Linux Foundation","Advanced",19.5,4.49,"https://www.coursera.org/learn/git-distributed-development","Course 4 focuses on using git for open source software distributed development. Git is a revision control system which arose out of the Linux kernel development community. Git was designed to help developers spread across the globe working on complicated projects coordinate their work in a rational way and keep track of everything they were doing. Overtime, Git has grown to be used by millions of projects today. This course gives you the opportunity to learn how to use git efficiently and make contributions in a relatively short amount of time. It will cover:\\n\\nHow to install git\\nHow to initialize a repository\\nHow to make changes in a repository\\nHow to make changes in repositories available to others\\nHow to acquire changes made by other individuals\\nHow to find errors in your work and go back to earlier states of yoru projects\\nHow to make commits, diffs, merges, rebases.\\n\\nThe course will help you get the skills to have a good understanding on how to use git. You will have a good knowledge about git workflows, identifying problems in your workflows, and finding solutions to solve these problems.","changeset; branching (version control); fork (system call); php; unix; bash (unix shell); distributed development; concurrent versions system; open source; mergers and acquisitions","Open Source Software Development, Linux and Git",4.0,"https://www.coursera.org/specializations/oss-development-linux-git","The Open Source Software Development, Linux and Git Specialization will give you a strong foundation for working comfortably and productively in open source development communities. By completing the specialization, you’ll have a better understanding of the Linux environment, as well as methods and tools required to successfully use it, and you’ll know how to use git, the distributed version control system.","[3, 30]","None","English","computer-science","software-development","GXUDWl0XEeijnRKwxEkmXg"]
["Software Engineering","Software Engineering Tools","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Software Engineering","Software Engineering Tools","Programming for Everybody (Getting Started with Python)","University of Michigan","Beginner",18.8,4.81,"https://www.coursera.org/learn/python","This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python.  The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”.  Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.","python syntax and semantics; computer programming; python programming; basic programming language; syntax; omega language; language; semantics; programming language; context-sensitive language","Python for Everybody",1.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.8,24.8]","German; Korean; Chinese; Arabic","English","computer-science","software-development","7A1yFTaREeWWBQrVFXqd1w"]
["Software Engineering","Software Engineering Tools","Introduction to Git and GitHub","Google","Advanced",12.6,4.81,"https://www.coursera.org/learn/introduction-git-github","In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. \\n\\nThroughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub.\\n\\nBy the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! \\n\\nIn order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.","software engineering; linux; python programming; google; software testing; test automation; github; google cloud platform; cloud computing; version control","Google IT Automation with Python",3.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[7.9,16.8]","[NULL]","English","information-technology","cloud-computing","-qIqP1FsEemNmQ6a3syMJg"]
["Software Engineering","Software Engineering Tools","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Software Engineering","Software Engineering Tools","Version Control with Git","Atlassian","Intermediate",12.4,4.73,"https://www.coursera.org/learn/version-control-with-git","The Version Control with Git course provides  you with a solid, hands-on foundation for understanding the Git version control system.  Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs.  It is a core component of DevOps, continuous delivery pipelines and cloud-native computing. You could also use Git to manage the many continuously improving revisions of that book that you are writing. \\n\\nIn this course, you will not learn everything there is to know about Git, but you will build a strong conceptual understanding of the technology, and afterward will be able to confidently dig deeper on any topic that interests you. This course assumes no previous knowledge of Git, but if you do have experience with it, you may find this course to be both useful and challenging. This is especially true if you currently \"know just enough Git to be dangerous\". \\n\\nThere are two paths in this course. Both rely heavily on hands-on labs. One path assumes that you have experience using a command line interface, and the other path uses the Sourcetree graphical client. If you are not experienced with a command line, we highly suggest that you go through the Sourcetree path. Eventually, you might want to go through both paths, so that you can decide which tool to use for specific tasks. Besides, repetition is good for learning :)\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs require you to have a Windows or Mac computer. If you use the command line path through the course, you can also use Linux. \\n\\nThis course uses Bitbucket (bitbucket.org) as the hosted provider for remote Git repositories. Bitbucket is free for teams of up to 5 people, including private repositories. However, most of the knowledge that you gain in this course applies to Git itself, and you can apply this knowledge to other hosted Git providers (such as GitHub). \\n\\nThis course tries to be as concise as possible. It will probably take you about 5-10 hours to go through one of the two paths, but your mileage may vary.","null character; rebasing; bitbucket; version control; version control systems; workflow; rewriting; command-line interface; distributed version control; github","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,18]","Russian","English","computer-science","software-development","xS0pKcAFEeeMdgrf69Tp8A"]
["Software Engineering","Software Engineering Tools","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Software Engineering","Software Engineering Tools","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Software Engineering","Software Engineering Tools","Agile with Atlassian Jira","Atlassian","Beginner",11.2,4.59,"https://www.coursera.org/learn/agile-atlassian-jira","Agile teams use “just enough” planning and an incremental approach to accomplishing the work of the team. Every project and every team uses a custom agile methodology. This course discusses common foundational principles and practices used by agile methodologies, providing the student a flexible set of tools to use in any role (e.g. product owner, scrum master, project manager, team member) on any agile team. This course mainly discusses agile and lean principles, the kanban and scrum agile methodologies, and uses Atlassian Jira Software Cloud as the main software tool to apply hands-on learning of the topics. The course includes instruction on \"classic\" Jira projects as well as the new \"next-gen\" Jira projects.\\n\\nStudents can use the free plan of Atlassian Jira Software Cloud to complete the hands-on labs associated with this course. By the time you have completed this course, you will have a strong foundational understanding of agile principles and practices, and strong hands-on experience with Atlassian Jira Software Cloud. You will be the site administrator for your Jira account, so you will be able to perform basic administration tasks on your site. You should be able to continuously configure your Jira project(s) to match your team's custom agile methodology.\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs using Atlassian Jira Software Cloud require you to have a Windows, Mac or Linux computer.\\n\\nThis course tries to be as concise as possible. It will probably take you about 6-12 hours to go through, but your mileage may vary. It is highly encouraged that you apply what you learn to managing personal agile projects after the course is complete.","software; agile software development; project; project management; agile management; management; scrum (software development); kanban; jira (software); software development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.1]","[NULL]","English","computer-science","software-development","MhlnlfD8EeesnRJUyZNfHA"]
["Software Engineering","Software Engineering Tools","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Software Engineering","Software Testing","Learn to Program: Crafting Quality Code","University of Toronto","Advanced",19.8,4.62,"https://www.coursera.org/learn/program-code","Not all programs are created equal.  In this course, we'll focus on writing quality code that runs correctly and efficiently.  We'll design, code and validate our programs and learn how to compare programs that are addressing the same task.","syntax; software testing; python programming; computer programming; unit testing; object-oriented programming; doctest; class (computer programming); computer program; algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.9,23.5]","Vietnamese","English","computer-science","software-development","6CxMgSTREeW3AhKilvRZ0Q"]
["Software Engineering","Software Testing","Engineering Maintainable Android Apps","Vanderbilt University","Advanced",14.8,4.45,"https://www.coursera.org/learn/engineeringandroidapps","Engineering Maintainable Android Apps, which is a 4 week MOOC that shows by example various methods for engineering maintainable Android apps, including test-driven development methods and how to develop/run unit tests using JUnit and Robotium (or equivalent automated testing frameworks for Android), as well as how to successfully apply common Java/Android software patterns to improve the extensibility and clarity of Android apps. Students will work on the appropriate automated unit quizzes, based on the material covered in the lecture videos. These lessons will demonstrate the benefits of good software engineering practices that are targeted at creating maintainable code for mobile apps.\\n\\nThere will be roughly 3-4 hours of student engagement time per week, including video lectures, and quizzes. The ordering of the modules within the course is designed to be flexible.  In particular, students can watch the videos in whatever order suits their experience and needs, e.g., they may want to watch the unit testing videos prior to the software pattern videos if they prefer to learn about unit testing first.","software engineering; unit testing; mobile application development; software testing; android software development; android studio; Security Design; software; junit; security","Android App Development",4.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[8.8,21.2]","[NULL]","English","computer-science","mobile-and-web-development","Wz6JsG3tEeWG0w42Sx-Gkw"]
["Software Engineering","Software Testing","Writing, Running, and Fixing Code in C","Duke University","Advanced",32.9,4.3,"https://www.coursera.org/learn/writing-running-fixing-code","Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently.","debugging; c++; computer programming; compiler; c programming; cut, copy, and paste; integration testing; software testing; debuggers; embedded c","Introduction to Programming in C",2.0,"https://www.coursera.org/specializations/c-programming","This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.\\n\\nSuccessful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.","[16,39.5]","Vietnamese","English","computer-science","software-development","EOK-BfnpEeagaA66cQunuA"]
["Web Development","Best Courses","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Web Development","Best Courses","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.1,4.84,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; user experience design; web design; user interface design; adobe photoshop; user interface; graphic design; javascript; interaction design; typography","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.1,32.3]","[NULL]","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["Web Development","Best Courses","Introduction to Git and GitHub","Google","Advanced",12.6,4.81,"https://www.coursera.org/learn/introduction-git-github","In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. \\n\\nThroughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub.\\n\\nBy the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! \\n\\nIn order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.","software engineering; linux; python programming; google; software testing; test automation; github; google cloud platform; cloud computing; version control","Google IT Automation with Python",3.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[7.9,16.8]","[NULL]","English","information-technology","cloud-computing","-qIqP1FsEemNmQ6a3syMJg"]
["Web Development","Best Courses","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","Best Courses","Introduction to CSS3","University of Michigan","Beginner",16.5,4.78,"https://www.coursera.org/learn/introcss","The web today is almost unrecognizable from the early days of white pages with lists of blue links.  Now, sites are designed with complex layouts, unique fonts, and customized color schemes.   This course will show you the basics of Cascading Style Sheets (CSS3).  The emphasis will be on learning how to write CSS rules, how to test code, and how to establish good programming habits.     \\n\\nWhen done correctly, the styling of a webpage can take enhance your page.   When done incorrectly the result can be worse than no styling at all.    To ensure that your sites do not put up  barriers for people with cognitive and/or physical disabilities, you will learn how to evaluate pages using the standardized POUR accessibility guidelines.    Upon completion of the course, learners will be able to sketch a design for a given HTML page.  Using that design they will use CSS to implement the design by adding fonts, colors, and  layouts.    \\n\\nThis is the second course in the Web Design For Everybody specialization.   Subsequent courses focus on adding interaction with JavaScript and enhancing the styling with responsive design.\\n\\nIt will be difficult to complete this course if you do not have access to a laptop or desktop computer for the homework.","web development; css code; web design; html; Style Sheets; web; css flex box layout; modeling; CSS; HTML5","Web Design for Everybody: Basics of Web Development & Coding",2.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[11.1,20.4]","[NULL]","English","computer-science","mobile-and-web-development","Vh4RJTk8EeWJaxK5AT4frw"]
["Web Development","Best Courses","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Web Development","Best Courses","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Best Courses","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",20.0,4.74,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user interface design; xml; architecture; site map; information architecture; graphic design; user interface; user experience; adobe photoshop; web design","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.1,25.6]","[NULL]","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["Web Development","Best Courses","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Web Development","Best Courses","Introduction to HTML5","University of Michigan","Beginner",10.3,4.68,"https://www.coursera.org/learn/html","Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have a page, what do I do now?). Throughout the course there will be a strong emphasis on adhering to syntactic standards for validation and semantic standards to promote wide accessibility for users with disabilities.  The textbook we use is available online, “The Missing Link: An Introduction to Web Development and Programming” by Michael Mendez from www.opensuny.org. \\n\\nThis course will appeal to a wide variety of people, but specifically those who would like a step-by-step description of the basics. There are no prerequisites for this course and it is assumed that students have no prior programming skills or IT experience. The course will culminate in a small final project that will require the completion of a very simple page with links and images. The focus of this course is on the basics, not appearance. You can see a sample final page at http://intro-webdesign.com/html5-plain.html.  \\n\\nThis is the first course in the Web Design For Everybody specialization. Subsequent courses focus on the marketable skills of styling the page with CSS3, adding interactivity with JavaScript and enhancing the styling with responsive design. You can see a sample site for the capstone course at http://intro-webdesign.com/","html; syntax; semantics; web accessibility; HTML5; integration testing; learning; web; web design; web page","Web Design for Everybody: Basics of Web Development & Coding",1.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.5,13.1]","Spanish","English","computer-science","mobile-and-web-development","nQ5d7TbQEeWW9BKhJ4xW0Q"]
["Web Development","Angular","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Web Development","Angular","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Web Development","Angular","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Web Development","Angular","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Web Development","Back-End Web Development","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Web Development","Front-End Web Development","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","Front-End Web Development","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Front-End Web Development","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Web Development","Front-End Web Development","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Web Development","Front-End Web Development","Interactivity with JavaScript","University of Michigan","Beginner",11.2,4.65,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","javascript; web design; html; web; syntax; computer programming; web development; javascript syntax; document object model; interactivity","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.7,14.4]","[NULL]","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["Web Development","Front-End Web Development","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","web application; css code; web; web development; web design; HTML5; CSS; Style Sheets; html; javascript","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["Web Development","Front-End Web Development","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.7,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","angularjs; javascript; react (javascript library); web; mean (software bundle); javascript library; Redux; web development; node.js; front-end web development","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.6]","[NULL]","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["Web Development","Front-End Web Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Web Development","Front-End Web Development","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.6,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","javascript; web development; algorithms; web; CSS; HTML5; html; web page; Style Sheets; computer programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.3,25.7]","[NULL]","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["Web Development","Full-Stack Web Development","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Full-Stack Web Development","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Full-Stack Web Development","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Web Development","Full-Stack Web Development","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Web Development","Full-Stack Web Development","Server-side Development with NodeJS, Express and MongoDB","The Hong Kong University of Science and Technology","Intermediate",37.7,4.66,"https://www.coursera.org/learn/server-side-nodejs","This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services.\\n\\nAt the end of this course, you will be able to:\\n\\n- Demonstrate an understanding of server-side concepts, CRUD and REST\\n- Build and configure a backend server using NodeJS framework\\n- Build a RESTful API for the front-end to access backend services","node.js; application programming interfaces; authentication; web; oauth; server-side; mongodb; express.js; front and back ends; representational state transfer","Full Stack Web and Multiplatform Mobile App Development",5.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.6,48.4]","[NULL]","English","computer-science","mobile-and-web-development","pn1erK4cEeaP-Q4_2QdcFg"]
["Web Development","Full-Stack Web Development","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.7,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","angularjs; javascript; react (javascript library); web; mean (software bundle); javascript library; Redux; web development; node.js; front-end web development","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.6]","[NULL]","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["Web Development","Full-Stack Web Development","Multiplatform Mobile App Development with React Native","The Hong Kong University of Science and Technology","Advanced",28.6,4.54,"https://www.coursera.org/learn/react-native","This course focuses on developing truly cross-platform, native iOS and Android apps using React Native (Ver 0.55) and the Expo SDK (Ver. 27.0.0). React Native uses modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with React Native UI and layout support and access the native mobile platform's capabilities from Javascript using the Expo SDK. You should have already completed the Bootstrap 4 and the React courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your React and Javascript skills, (c) Use various features of React Native and the Expo SDK to build truly cross-platform mobile applications, and (d) Use Redux to design the architecture for a React-Redux application","xamarin; web development; mobile application development; node.js; javascript; angularjs; react (javascript library); mean (software bundle); front-end web development; mobile app","Full-Stack Web Development with React",3.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[17.8,40.9]","[NULL]","English","computer-science","mobile-and-web-development","CsfN7hC9EeiE7wpvHFhXPA"]
["Web Development","Full-Stack Web Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Web Development","Full-Stack Web Development","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Web Development","HTML and CSS","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","HTML and CSS","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","HTML and CSS","Introduction to CSS3","University of Michigan","Beginner",16.5,4.78,"https://www.coursera.org/learn/introcss","The web today is almost unrecognizable from the early days of white pages with lists of blue links.  Now, sites are designed with complex layouts, unique fonts, and customized color schemes.   This course will show you the basics of Cascading Style Sheets (CSS3).  The emphasis will be on learning how to write CSS rules, how to test code, and how to establish good programming habits.     \\n\\nWhen done correctly, the styling of a webpage can take enhance your page.   When done incorrectly the result can be worse than no styling at all.    To ensure that your sites do not put up  barriers for people with cognitive and/or physical disabilities, you will learn how to evaluate pages using the standardized POUR accessibility guidelines.    Upon completion of the course, learners will be able to sketch a design for a given HTML page.  Using that design they will use CSS to implement the design by adding fonts, colors, and  layouts.    \\n\\nThis is the second course in the Web Design For Everybody specialization.   Subsequent courses focus on adding interaction with JavaScript and enhancing the styling with responsive design.\\n\\nIt will be difficult to complete this course if you do not have access to a laptop or desktop computer for the homework.","web development; css code; web design; html; Style Sheets; web; css flex box layout; modeling; CSS; HTML5","Web Design for Everybody: Basics of Web Development & Coding",2.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[11.1,20.4]","[NULL]","English","computer-science","mobile-and-web-development","Vh4RJTk8EeWJaxK5AT4frw"]
["Web Development","HTML and CSS","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Web Development","HTML and CSS","Building Web Applications in PHP","University of Michigan","Intermediate",18.0,4.75,"https://www.coursera.org/learn/web-applications-php","In this course, you'll explore the basic structure of a web application, and how a web browser interacts with a web server. You'll be introduced to the request/response cycle, including GET/POST/Redirect. You'll also gain an introductory understanding of Hypertext Markup Language (HTML), as well as the basic syntax and data structures of the PHP language, variables, logic, iteration, arrays, error handling, and superglobal variables, among other elements. An introduction to Cascading Style Sheets (CSS) will allow you to style markup for webpages. Lastly, you'll gain the skills and knowledge to install and use an integrated PHP/MySQL environment like XAMPP or MAMP.","web development; phpmyadmin; web; HTML5; Style Sheets; CSS; php; form (html); html; web application","Web Applications for Everybody",1.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[8.6,23.8]","Korean","English","computer-science","mobile-and-web-development","tTat0VwuEeeDOQrEEZRi7A"]
["Web Development","HTML and CSS","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","HTML and CSS","Reproducible Templates for Analysis and Dissemination","Emory University","Beginner",20.0,4.73,"https://www.coursera.org/learn/reproducible-templates-analysis","This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications. This course  focuses on the proper documentation creation process, allowing you and your colleagues to easily reproduce the components of your workflow. Throughout this course, you'll receive helpful demonstrations of RStudio and the R Markdown language and engage in active learning opportunities to help you build a professional online portfolio.","surround sound; github; policy analysis; html; syntax; portable document format; websites; yaml; rstudio; journaling file system","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.1,24.7]","[NULL]","English","data-science","data-analysis","wt8gG-llEeabdA46hC1Ajg"]
["Web Development","HTML and CSS","JavaScript, jQuery, and JSON","University of Michigan","Advanced",18.0,4.73,"https://www.coursera.org/learn/javascript-jquery-json","In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery).\\n\\nIt is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization.","jquery; php; laravel; ajax (programming); syntax; javascript; document object model; json; html; web application","Web Applications for Everybody",4.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[11,28.2]","[NULL]","English","computer-science","mobile-and-web-development","9Z1XvVwuEeeVDg6Hr_aQ1g"]
["Web Development","HTML and CSS","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Web Development","HTML and CSS","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Web Development","HTML and CSS","Web Design for Everybody Capstone","University of Michigan","Beginner",8.8,4.68,"https://www.coursera.org/learn/web-design-project","The capstone will develop a professional-quality web portfolio.  Students will demonstrate the ability to design and implement a responsive site for a minimum of three platforms.  Adherence to validation and accessibility standards will be required. The evolving student implementations will be reviewed each week by capstone peers and teaching assistants to make sure that the student keeps up with the agenda of the course. \\n\\nUpon completion of this course students will feel comfortable creating and/or updating existing front-end sites, utilizing existing frameworks, and testing sites for accessibility compliance.\\n\\nThis course is only open to students who have completed the first four courses in the Web Design for Everybody specialization: Introduction to HTML5, Introduction to CSS3, Interactivity with JavaScript, and Advanced Styling with Responsive Design.","web development; HTML5; front-end web development; responsive web design; web design; CSS; web; html; websites; javascript","Web Design for Everybody: Basics of Web Development & Coding",5.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[3.2,12.8]","Hindi","English","computer-science","mobile-and-web-development","zN_XyjlAEeWCYBKNeFwojw"]
["Web Development","HTML and CSS","Introduction to HTML5","University of Michigan","Beginner",10.3,4.68,"https://www.coursera.org/learn/html","Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have a page, what do I do now?). Throughout the course there will be a strong emphasis on adhering to syntactic standards for validation and semantic standards to promote wide accessibility for users with disabilities.  The textbook we use is available online, “The Missing Link: An Introduction to Web Development and Programming” by Michael Mendez from www.opensuny.org. \\n\\nThis course will appeal to a wide variety of people, but specifically those who would like a step-by-step description of the basics. There are no prerequisites for this course and it is assumed that students have no prior programming skills or IT experience. The course will culminate in a small final project that will require the completion of a very simple page with links and images. The focus of this course is on the basics, not appearance. You can see a sample final page at http://intro-webdesign.com/html5-plain.html.  \\n\\nThis is the first course in the Web Design For Everybody specialization. Subsequent courses focus on the marketable skills of styling the page with CSS3, adding interactivity with JavaScript and enhancing the styling with responsive design. You can see a sample site for the capstone course at http://intro-webdesign.com/","html; syntax; semantics; web accessibility; HTML5; integration testing; learning; web; web design; web page","Web Design for Everybody: Basics of Web Development & Coding",1.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.5,13.1]","Spanish","English","computer-science","mobile-and-web-development","nQ5d7TbQEeWW9BKhJ4xW0Q"]
["Web Development","HTML and CSS","Web Design for Everybody Capstone","University of Michigan","Beginner",8.8,4.68,"https://www.coursera.org/learn/web-design-project","The capstone will develop a professional-quality web portfolio.  Students will demonstrate the ability to design and implement a responsive site for a minimum of three platforms.  Adherence to validation and accessibility standards will be required. The evolving student implementations will be reviewed each week by capstone peers and teaching assistants to make sure that the student keeps up with the agenda of the course. \\n\\nUpon completion of this course students will feel comfortable creating and/or updating existing front-end sites, utilizing existing frameworks, and testing sites for accessibility compliance.\\n\\nThis course is only open to students who have completed the first four courses in the Web Design for Everybody specialization: Introduction to HTML5, Introduction to CSS3, Interactivity with JavaScript, and Advanced Styling with Responsive Design.","web development; HTML5; front-end web development; responsive web design; web design; CSS; web; html; websites; javascript","Web Design for Everybody: Basics of Web Development & Coding",5.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[3.2,12.8]","Hindi","English","computer-science","mobile-and-web-development","zN_XyjlAEeWCYBKNeFwojw"]
["Web Development","HTML and CSS","Interactivity with JavaScript","University of Michigan","Beginner",11.2,4.65,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","javascript; web design; html; web; syntax; computer programming; web development; javascript syntax; document object model; interactivity","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.7,14.4]","[NULL]","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["Web Development","HTML and CSS","Web Application Development: Basic Concepts","University of New Mexico","Advanced",22.9,4.62,"https://www.coursera.org/learn/web-app","This is the first course in a Coursera Specialization track involving Web Application Architectures.  This course will give you the basic background, terminology and fundamental concepts that you need to understand in order to build modern full stack web applications. A full stack web developer is familiar with each \"layer\"  of the software technologies involved in a web application, including data modeling and database technologies, the web server environment and middleware components, network protocols, the user interface and basic visual design and user interaction concepts. \\n\\nIn this course we will learn by doing.  We will start by learning the major components of web application architectures, along with the fundamental design patterns and philosophies that are used to organize them.  You will build and continually refine a fully functional full-stack web application as we progress through the modules in this course.  Along the way you will be exposed to agile software development practices, numerous tools that software engineers are expected to know how to use, and a modern web application development framework.\\n\\nThis course is also available in Spanish. To join the Spanish version, visit this page: https://www.coursera.org/learn/apliweb.","web application development; user interface; web framework; application framework; html; web; middleware; ruby on rails; ruby (programming language); web application","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16,26.8]","[NULL]","English","computer-science","mobile-and-web-development","maX993EhEeWi0g6YoSAL-w"]
["Web Development","HTML and CSS","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","web application; css code; web; web development; web design; HTML5; CSS; Style Sheets; html; javascript","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["Web Development","HTML and CSS","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","web application; css code; web; web development; web design; HTML5; CSS; Style Sheets; html; javascript","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["Web Development","HTML and CSS","Responsive Web Design","University of London","Intermediate",16.6,4.55,"https://www.coursera.org/learn/responsive-web-design","In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using JavaScript objects and templates. \\n\\nAt the end of the course, you will be able to:\\n1. Explain why users need to know where they are, where they can go and what is on a web page\\n2. Create wireframe mockups of web pages \\n3. Identify the key functional elements of web pages\\n4. Use Bootstrap components to realise page designs\\n5. Use JavaScript data structures such as arrays and objects to define the data used in a web page\\n6. Use the Handlebars template library to convert data to HTML \\n7. Add interactivity to templates using JavaScript event listeners\\n\\nIn this course, you will complete:\\n1 website design assignment taking ~1 hour to complete\\n1 programming assignment taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","CSS; html; web design; web; javascript templating; navigation bar; arrays; javascript; data structure; responsive web design","Responsive Website Development and Design",2.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[11,24.1]","[NULL]","English","computer-science","mobile-and-web-development","Fp0K8RoEEeWDtQoum3sFeQ"]
["Web Development","HTML and CSS","Responsive Web Design","University of London","Intermediate",16.6,4.55,"https://www.coursera.org/learn/responsive-web-design","In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using JavaScript objects and templates. \\n\\nAt the end of the course, you will be able to:\\n1. Explain why users need to know where they are, where they can go and what is on a web page\\n2. Create wireframe mockups of web pages \\n3. Identify the key functional elements of web pages\\n4. Use Bootstrap components to realise page designs\\n5. Use JavaScript data structures such as arrays and objects to define the data used in a web page\\n6. Use the Handlebars template library to convert data to HTML \\n7. Add interactivity to templates using JavaScript event listeners\\n\\nIn this course, you will complete:\\n1 website design assignment taking ~1 hour to complete\\n1 programming assignment taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","CSS; html; web design; web; javascript templating; navigation bar; arrays; javascript; data structure; responsive web design","Responsive Website Development and Design",2.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[11,24.1]","[NULL]","English","computer-science","mobile-and-web-development","Fp0K8RoEEeWDtQoum3sFeQ"]
["Web Development","HTML and CSS","Web Application Development with JavaScript and MongoDB","University of London","Advanced",19.1,4.53,"https://www.coursera.org/learn/web-application-development","In this course, you will develop more advanced web application programming skills. You will learn how to control data read and write access using methods, publish and subscribe. You will learn how to access your database and server shells using command line tools. You will use the SimpleSchema system to validate data and generate input forms automatically. You will see a complete collaborative code editing environment, TextCircle, being built from scratch. \\n\\nAt the end of this course, you will be able to:\\n- use Meteor methods to control data write access\\n- use publish and subscribe to control data read access\\n- install and use advanced Meteor packages\\n- add user accounts to your applications\\n- implement complex MongoDB filters\\n- use the MongoDB and meteor server shells\\n- define data validations schemas using SimpleSchema\\n- generate data input forms automatically using SimpleSchema\\n\\nIn this course, you will complete:\\n2 programming assignments taking ~4 hours each to complete\\n4 quizzes, each taking ~20 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes","integration testing; web; html; mongodb; javascript; user (computing); publish subscribe pattern; web application; web application development; meteor","Responsive Website Development and Design",4.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[12.9,27.2]","[NULL]","English","computer-science","software-development","EA0hyTUGEeWWBQrVFXqd1w"]
["Web Development","HTML and CSS","Responsive Website Basics: Code with HTML, CSS, and JavaScript","University of London","Beginner",14.4,4.5,"https://www.coursera.org/learn/website-coding","In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style.  Additionally, your web page will support interactivity. \\n\\nAt the end of the course, you will be able to:\\n\\n1. Define the purpose of HTML, CSS and JavaScript\\n2. Make a simple web page using HTML\\n3. Use CSS to control text styles and layout\\n4. Use CSS libraries such as Bootstrap to create responsive layouts\\n5. Use JavaScript variables and functions\\n6. Manipulate web page content using JavaScript\\n7. Respond to user input using JavaScript\\n\\nIn this course, you will complete: \\n2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\n1 programming exercise~30 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","responsive web design; web design; html; CSS; Style Sheets; css code; HTML5; javascript; web; jquery","Responsive Website Development and Design",1.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[9.2,18.9]","Arabic","English","computer-science","mobile-and-web-development","HITLfhnoEeWjrA6seF25aw"]
["Web Development","HTML and CSS","Responsive Website Basics: Code with HTML, CSS, and JavaScript","University of London","Beginner",14.4,4.5,"https://www.coursera.org/learn/website-coding","In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style.  Additionally, your web page will support interactivity. \\n\\nAt the end of the course, you will be able to:\\n\\n1. Define the purpose of HTML, CSS and JavaScript\\n2. Make a simple web page using HTML\\n3. Use CSS to control text styles and layout\\n4. Use CSS libraries such as Bootstrap to create responsive layouts\\n5. Use JavaScript variables and functions\\n6. Manipulate web page content using JavaScript\\n7. Respond to user input using JavaScript\\n\\nIn this course, you will complete: \\n2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\n1 programming exercise~30 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","responsive web design; web design; html; CSS; Style Sheets; css code; HTML5; javascript; web; jquery","Responsive Website Development and Design",1.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[9.2,18.9]","Arabic","English","computer-science","mobile-and-web-development","HITLfhnoEeWjrA6seF25aw"]
["Web Development","Other Web Frameworks","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Web Development","Other Web Programming Languages","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Web Development","React (web framework)","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","React (web framework)","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.7,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","angularjs; javascript; react (javascript library); web; mean (software bundle); javascript library; Redux; web development; node.js; front-end web development","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.6]","[NULL]","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["Web Development","React (web framework)","Multiplatform Mobile App Development with React Native","The Hong Kong University of Science and Technology","Advanced",28.6,4.54,"https://www.coursera.org/learn/react-native","This course focuses on developing truly cross-platform, native iOS and Android apps using React Native (Ver 0.55) and the Expo SDK (Ver. 27.0.0). React Native uses modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with React Native UI and layout support and access the native mobile platform's capabilities from Javascript using the Expo SDK. You should have already completed the Bootstrap 4 and the React courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your React and Javascript skills, (c) Use various features of React Native and the Expo SDK to build truly cross-platform mobile applications, and (d) Use Redux to design the architecture for a React-Redux application","xamarin; web development; mobile application development; node.js; javascript; angularjs; react (javascript library); mean (software bundle); front-end web development; mobile app","Full-Stack Web Development with React",3.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[17.8,40.9]","[NULL]","English","computer-science","mobile-and-web-development","CsfN7hC9EeiE7wpvHFhXPA"]
["Web Development","React (web framework)","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Web Development","Web Design","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.1,4.84,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; user experience design; web design; user interface design; adobe photoshop; user interface; graphic design; javascript; interaction design; typography","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.1,32.3]","[NULL]","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["Web Development","Web Design","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","Web Design","Introduction to CSS3","University of Michigan","Beginner",16.5,4.78,"https://www.coursera.org/learn/introcss","The web today is almost unrecognizable from the early days of white pages with lists of blue links.  Now, sites are designed with complex layouts, unique fonts, and customized color schemes.   This course will show you the basics of Cascading Style Sheets (CSS3).  The emphasis will be on learning how to write CSS rules, how to test code, and how to establish good programming habits.     \\n\\nWhen done correctly, the styling of a webpage can take enhance your page.   When done incorrectly the result can be worse than no styling at all.    To ensure that your sites do not put up  barriers for people with cognitive and/or physical disabilities, you will learn how to evaluate pages using the standardized POUR accessibility guidelines.    Upon completion of the course, learners will be able to sketch a design for a given HTML page.  Using that design they will use CSS to implement the design by adding fonts, colors, and  layouts.    \\n\\nThis is the second course in the Web Design For Everybody specialization.   Subsequent courses focus on adding interaction with JavaScript and enhancing the styling with responsive design.\\n\\nIt will be difficult to complete this course if you do not have access to a laptop or desktop computer for the homework.","web development; css code; web design; html; Style Sheets; web; css flex box layout; modeling; CSS; HTML5","Web Design for Everybody: Basics of Web Development & Coding",2.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[11.1,20.4]","[NULL]","English","computer-science","mobile-and-web-development","Vh4RJTk8EeWJaxK5AT4frw"]
["Web Development","Web Design","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",20.0,4.74,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user interface design; xml; architecture; site map; information architecture; graphic design; user interface; user experience; adobe photoshop; web design","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.1,25.6]","[NULL]","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["Web Development","Web Design","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Web Development","Web Design","Introduction to HTML5","University of Michigan","Beginner",10.3,4.68,"https://www.coursera.org/learn/html","Thanks to a growing number of software programs, it seems as if anyone can make a webpage. But what if you actually want to understand how the page was created? There are great textbooks and online resources for learning web design, but most of those resources require some background knowledge. This course is designed to help the novice who wants to gain confidence and knowledge. We will explore the theory (what actually happens when you click on a link on a webpage?), the practical (what do I need to know to make my own page?), and the overlooked (I have a page, what do I do now?). Throughout the course there will be a strong emphasis on adhering to syntactic standards for validation and semantic standards to promote wide accessibility for users with disabilities.  The textbook we use is available online, “The Missing Link: An Introduction to Web Development and Programming” by Michael Mendez from www.opensuny.org. \\n\\nThis course will appeal to a wide variety of people, but specifically those who would like a step-by-step description of the basics. There are no prerequisites for this course and it is assumed that students have no prior programming skills or IT experience. The course will culminate in a small final project that will require the completion of a very simple page with links and images. The focus of this course is on the basics, not appearance. You can see a sample final page at http://intro-webdesign.com/html5-plain.html.  \\n\\nThis is the first course in the Web Design For Everybody specialization. Subsequent courses focus on the marketable skills of styling the page with CSS3, adding interactivity with JavaScript and enhancing the styling with responsive design. You can see a sample site for the capstone course at http://intro-webdesign.com/","html; syntax; semantics; web accessibility; HTML5; integration testing; learning; web; web design; web page","Web Design for Everybody: Basics of Web Development & Coding",1.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[6.5,13.1]","Spanish","English","computer-science","mobile-and-web-development","nQ5d7TbQEeWW9BKhJ4xW0Q"]
["Web Development","Web Design","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","web application; css code; web; web development; web design; HTML5; CSS; Style Sheets; html; javascript","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["Web Development","Web Design","Responsive Web Design","University of London","Intermediate",16.6,4.55,"https://www.coursera.org/learn/responsive-web-design","In this course you will learn how to apply concepts from interaction design and human computer interaction in order to design and build an interactive, professional looking website. You will learn how to make your web page designs adapt to different screen sizes using responsive grid layouts. You will learn how to add navigation and other design elements, and you will learn how to separate data and display using JavaScript objects and templates. \\n\\nAt the end of the course, you will be able to:\\n1. Explain why users need to know where they are, where they can go and what is on a web page\\n2. Create wireframe mockups of web pages \\n3. Identify the key functional elements of web pages\\n4. Use Bootstrap components to realise page designs\\n5. Use JavaScript data structures such as arrays and objects to define the data used in a web page\\n6. Use the Handlebars template library to convert data to HTML \\n7. Add interactivity to templates using JavaScript event listeners\\n\\nIn this course, you will complete:\\n1 website design assignment taking ~1 hour to complete\\n1 programming assignment taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","CSS; html; web design; web; javascript templating; navigation bar; arrays; javascript; data structure; responsive web design","Responsive Website Development and Design",2.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[11,24.1]","[NULL]","English","computer-science","mobile-and-web-development","Fp0K8RoEEeWDtQoum3sFeQ"]
["Web Development","Web Design","Responsive Website Basics: Code with HTML, CSS, and JavaScript","University of London","Beginner",14.4,4.5,"https://www.coursera.org/learn/website-coding","In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style.  Additionally, your web page will support interactivity. \\n\\nAt the end of the course, you will be able to:\\n\\n1. Define the purpose of HTML, CSS and JavaScript\\n2. Make a simple web page using HTML\\n3. Use CSS to control text styles and layout\\n4. Use CSS libraries such as Bootstrap to create responsive layouts\\n5. Use JavaScript variables and functions\\n6. Manipulate web page content using JavaScript\\n7. Respond to user input using JavaScript\\n\\nIn this course, you will complete: \\n2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\n1 programming exercise~30 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","responsive web design; web design; html; CSS; Style Sheets; css code; HTML5; javascript; web; jquery","Responsive Website Development and Design",1.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[9.2,18.9]","Arabic","English","computer-science","mobile-and-web-development","HITLfhnoEeWjrA6seF25aw"]
["Web Development","Web Design","Information Design","University of California San Diego","Intermediate",8.4,4.44,"https://www.coursera.org/learn/infodesign","A blank canvas is full of possibility. If you have an idea for a user experience, how do you turn it into a beautiful and effective user interface?  This covers covers principles of visual design so that you can effectively organize and present information with your interfaces. You'll learn concrete strategies to create user interfaces, including key lessons in typography, information architecture, layout, color, and more. You’ll learn particular issues that arise in new device contexts, such as mobile and responsive interfaces. You will learn how to apply these design principles in a modern context of increasingly diverse form factors - from tablets, to walls, to watches.","programming tool; information design; website wireframe; big data; human computer interaction; interaction design; user experience design; user experience; user interface; graphic design","Interaction Design",6.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[5.7,9.9]","Russian; Spanish; Portuguese; Chinese","English","computer-science","design-and-product","afay6xVFEeWfzgpfp_iBVw"]
["Web Development","Web Development Tools","Single Page Web Applications with AngularJS","Johns Hopkins University","Advanced",35.9,4.87,"https://www.coursera.org/learn/single-page-web-apps-with-angularjs","Do you want to write powerful, maintainable, and testable front end applications faster and with less code? Then consider joining this course to gain skills in one of the most popular Single Page Application (SPA) frameworks today, AngularJS. Developed and backed by Google, AngularJS is a very marketable skill to acquire.\\n\\nIn this course, we will explore the core design of AngularJS 1.x (latest version of AngularJS 1), its components and code organization techniques. We will enhance the functionality of our web app by utilizing dependency injection to reuse existing services as well as write our own. We will create reusable HTML components that take advantage of AngularJS data binding as well as extend HTML syntax with a very powerful feature of AngularJS called directives. We’ll set up routing so our SPA can have multiple views. We will also learn how to unit test our functionality. At the end of this course, you will build a fully functional, well organized and tested web application using AngularJS and deploy it to the cloud.","capgemini; javascript; software testing; software; unit testing; software architecture; web; web development; architecture; angularjs","Ruby on Rails Web Development",5.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[25.3,44.5]","[NULL]","English","computer-science","mobile-and-web-development","It7SNTe-EeWCYBKNeFwojw"]
["Web Development","Web Development Tools","Introduction to Git and GitHub","Google","Advanced",12.6,4.81,"https://www.coursera.org/learn/introduction-git-github","In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. \\n\\nThroughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub.\\n\\nBy the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! \\n\\nIn order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.","software engineering; linux; python programming; google; software testing; test automation; github; google cloud platform; cloud computing; version control","Google IT Automation with Python",3.0,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[7.9,16.8]","[NULL]","English","information-technology","cloud-computing","-qIqP1FsEemNmQ6a3syMJg"]
["Web Development","Web Development Tools","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","ajax (programming); javascript; html; CSS; bootstrap (front-end framework); web; css code; computer programming; HTML5; css frameworks","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.3,40.8]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["Web Development","Web Development Tools","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Web Development Tools","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.4,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","language; web; bootstrap (front-end framework); javascript; CSS; jquery; sass (stylesheet language); node.js; omega language; software as a service","Full-Stack Web Development with React",1.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[21.3,36.3]","[NULL]","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["Web Development","Web Development Tools","Reproducible Templates for Analysis and Dissemination","Emory University","Beginner",20.0,4.73,"https://www.coursera.org/learn/reproducible-templates-analysis","This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications. This course  focuses on the proper documentation creation process, allowing you and your colleagues to easily reproduce the components of your workflow. Throughout this course, you'll receive helpful demonstrations of RStudio and the R Markdown language and engage in active learning opportunities to help you build a professional online portfolio.","surround sound; github; policy analysis; html; syntax; portable document format; websites; yaml; rstudio; journaling file system","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.1,24.7]","[NULL]","English","data-science","data-analysis","wt8gG-llEeabdA46hC1Ajg"]
["Web Development","Web Development Tools","Version Control with Git","Atlassian","Intermediate",12.4,4.73,"https://www.coursera.org/learn/version-control-with-git","The Version Control with Git course provides  you with a solid, hands-on foundation for understanding the Git version control system.  Git is open source software originally created by Linus Torvalds. Git manages team files for large and small projects. This allows the team to continuously improve its product. It is used by most major technology companies, and is assumed knowledge for many modern programming and IT jobs.  It is a core component of DevOps, continuous delivery pipelines and cloud-native computing. You could also use Git to manage the many continuously improving revisions of that book that you are writing. \\n\\nIn this course, you will not learn everything there is to know about Git, but you will build a strong conceptual understanding of the technology, and afterward will be able to confidently dig deeper on any topic that interests you. This course assumes no previous knowledge of Git, but if you do have experience with it, you may find this course to be both useful and challenging. This is especially true if you currently \"know just enough Git to be dangerous\". \\n\\nThere are two paths in this course. Both rely heavily on hands-on labs. One path assumes that you have experience using a command line interface, and the other path uses the Sourcetree graphical client. If you are not experienced with a command line, we highly suggest that you go through the Sourcetree path. Eventually, you might want to go through both paths, so that you can decide which tool to use for specific tasks. Besides, repetition is good for learning :)\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs require you to have a Windows or Mac computer. If you use the command line path through the course, you can also use Linux. \\n\\nThis course uses Bitbucket (bitbucket.org) as the hosted provider for remote Git repositories. Bitbucket is free for teams of up to 5 people, including private repositories. However, most of the knowledge that you gain in this course applies to Git itself, and you can apply this knowledge to other hosted Git providers (such as GitHub). \\n\\nThis course tries to be as concise as possible. It will probably take you about 5-10 hours to go through one of the two paths, but your mileage may vary.","null character; rebasing; bitbucket; version control; version control systems; workflow; rewriting; command-line interface; distributed version control; github","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,18]","Russian","English","computer-science","software-development","xS0pKcAFEeeMdgrf69Tp8A"]
["Web Development","Web Development Tools","JavaScript, jQuery, and JSON","University of Michigan","Advanced",18.0,4.73,"https://www.coursera.org/learn/javascript-jquery-json","In this course, we'll look at the JavaScript language, and how it supports the Object-Oriented pattern, with a focus on the unique aspect of how JavaScript approaches OO. We'll explore a brief introduction to the jQuery library, which is widely used to do in-browser manipulation of the Document Object Model (DOM) and event handling. You'll also learn more about JavaScript Object Notation (JSON), which is commonly used as a syntax to exchange data between code running on the server (i.e. in PHP) and code running in the browser (JavaScript/jQuery).\\n\\nIt is assumed that learners have already taken the Building Web Applications and Building Database Applications in PHP courses in this specialization.","jquery; php; laravel; ajax (programming); syntax; javascript; document object model; json; html; web application","Web Applications for Everybody",4.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[11,28.2]","[NULL]","English","computer-science","mobile-and-web-development","9Z1XvVwuEeeVDg6Hr_aQ1g"]
["Web Development","Web Development Tools","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.8,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","reactive programming; javascript library; computer programming; angularjs; client server model; materials; javascript; typescript; web development; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.2,46.5]","[NULL]","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["Web Development","Web Development Tools","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.5,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","media queries; bootstrap (front-end framework); web development; html; web design; javascript; CSS; responsive web design; web; HTML5","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[4.8,10.9]","[NULL]","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["Web Development","Web Development Tools","The Unix Workbench","Johns Hopkins University","Intermediate",17.2,4.68,"https://www.coursera.org/learn/unix","Unix forms a foundation that is often very helpful for accomplishing other goals you might have for you and your computer, whether that goal is running a business, writing a book, curing disease, or creating the next great app. The means to these goals are sometimes carried out by writing software. Software can’t be mined out of the ground, nor can software seeds be planted in spring to harvest by autumn. Software isn’t produced in factories on an assembly line. Software is a hand-made, often bespoke good. If a software developer is an artisan, then Unix is their workbench. Unix provides an essential and simple set of tools in a distraction-free environment. Even if you’re not a software developer learning Unix can open you up to new methods of thinking and novel ways to scale your ideas. \\n\\nThis course is intended for folks who are new to programming and new to Unix-like operating systems like macOS and Linux distributions like Ubuntu. Most of the technologies discussed in this course will be accessed via a command line interface. Command line interfaces can seem alien at first, so this course attempts to draw parallels between using the command line and actions that you would normally take while using your mouse and keyboard. You’ll also learn how to write little pieces of software in a programming language called Bash, which allows you to connect together the tools we’ll discuss. My hope is that by the end of this course you be able to use different Unix tools as if they’re interconnecting Lego bricks.","makefile; github; linux; shell script; Shell Commands; unix; cloud computing; bash (unix shell); computer programming; unix shells","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,23.3]","Russian; Bengali; Hindi; Portuguese; Persian; Spanish; Chinese; Dutch; German","English","data-science","machine-learning","d7GXFfqfEeadFw6-eqmrIg"]
["Web Development","Web Development Tools","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.7,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","angularjs; javascript; react (javascript library); web; mean (software bundle); javascript library; Redux; web development; node.js; front-end web development","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.6]","[NULL]","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["Web Development","Web Development Tools","Multiplatform Mobile App Development with React Native","The Hong Kong University of Science and Technology","Advanced",28.6,4.54,"https://www.coursera.org/learn/react-native","This course focuses on developing truly cross-platform, native iOS and Android apps using React Native (Ver 0.55) and the Expo SDK (Ver. 27.0.0). React Native uses modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with React Native UI and layout support and access the native mobile platform's capabilities from Javascript using the Expo SDK. You should have already completed the Bootstrap 4 and the React courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your React and Javascript skills, (c) Use various features of React Native and the Expo SDK to build truly cross-platform mobile applications, and (d) Use Redux to design the architecture for a React-Redux application","xamarin; web development; mobile application development; node.js; javascript; angularjs; react (javascript library); mean (software bundle); front-end web development; mobile app","Full-Stack Web Development with React",3.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[17.8,40.9]","[NULL]","English","computer-science","mobile-and-web-development","CsfN7hC9EeiE7wpvHFhXPA"]
["Web Development","Web Development Tools","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","web; typescript; graphical environment manager; deployment environment; user interface design; web development; ionic (mobile app framework); mobile application development; mobile app; angularjs","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.5,38.3]","[NULL]","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["Web Development","Web Development Tools","Responsive Website Basics: Code with HTML, CSS, and JavaScript","University of London","Beginner",14.4,4.5,"https://www.coursera.org/learn/website-coding","In this course you will learn three key website programming and design languages: HTML, CSS and JavaScript. You will create a web page using basic elements to control layout and style.  Additionally, your web page will support interactivity. \\n\\nAt the end of the course, you will be able to:\\n\\n1. Define the purpose of HTML, CSS and JavaScript\\n2. Make a simple web page using HTML\\n3. Use CSS to control text styles and layout\\n4. Use CSS libraries such as Bootstrap to create responsive layouts\\n5. Use JavaScript variables and functions\\n6. Manipulate web page content using JavaScript\\n7. Respond to user input using JavaScript\\n\\nIn this course, you will complete: \\n2 assignments writing HTML, CSS and JavaScript, each taking ~1 hour to complete\\n4 quizzes, each taking ~20 minutes to complete\\n1 programming exercise~30 minutes to complete\\nmultiple practice quizzes, each taking ~5 minutes to complete\\n\\nParticipation in or completion of this online course will not confer academic credit for University of London programmes.","responsive web design; web design; html; CSS; Style Sheets; css code; HTML5; javascript; web; jquery","Responsive Website Development and Design",1.0,"https://www.coursera.org/specializations/website-development","Responsive web design is all about creating the best user experience regardless of whether a user is accessing your site from a desktop computer, a mobile phone, or a tablet.\\n\\nThis Specialisation covers the basics of modern full stack web development, from UX design to front-end coding to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor.js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.\\n\\nYou will add several projects to your portfolio to demonstrate your skill and growth throughout this Specialisation. You will create web pages using basic elements to control layout and style, use responsive web design principles to take a site from wireframe to website, implement security features, and create collaborative multi-user experiences. Just like any professional full stack web developer, you will build accessibility and usability into your responsive websites.","[9.2,18.9]","Arabic","English","computer-science","mobile-and-web-development","HITLfhnoEeWjrA6seF25aw"]
["Web Development","Web Development Tools","Ruby on Rails: An Introduction","Johns Hopkins University","Intermediate",16.3,4.48,"https://www.coursera.org/learn/ruby-on-rails-intro","Did you ever want to build a web application?  Perhaps you even started down that path in a language like Java or C#, when you realized that there was so much “climbing the mountain” that you had to do? Maybe you have heard about web services being all the rage, but thought they were too complicated to integrate into your web application. Or maybe you wondered how deploying web applications to the cloud works, but there was too much to set up just to get going.\\n \\nIn this course, we will explore how to build web applications with the Ruby on Rails web application framework, which is geared towards rapid prototyping.  Yes, that means building quickly! At the conclusion of this course, you will be able to build a meaningful web application and deploy it to the “cloud” using a Heroku PaaS (Platform as a Service). Best of all, it will almost feel effortless… Really!\\n \\n“But wait”, you will say, “there is no way that we can build a useful application if there is no database involved. You need the data for an application to be useful.” Great point! But what if… instead of getting the data from the database, we get it from the internet by tapping into one of the web services out there that readily provides data needed by our application? “Ok, but that’s probably very complicated”, you will say. Take this course and you will be pleasantly surprised at just how easy it is!","heroku; programming language; language; github; rspec; omega language; web; computer programming; ruby on rails; ruby (programming language)","Ruby on Rails Web Development",1.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[11.3,20.2]","[NULL]","English","computer-science","mobile-and-web-development","nO_yqTe0EeWYbg7p2_3OHQ"]
["Web Development","Web Development Tools","Multiplatform Mobile App Development with NativeScript","The Hong Kong University of Science and Technology","Advanced",27.9,4.42,"https://www.coursera.org/learn/nativescript","This course focuses on developing truly cross-platform, native iOS and Android apps using NativeScript (Ver 3.x). The framework uses Angular, TypeScript or modern JavaScript to get truly native UI and performance while sharing skills and code with the web. You will learn about UI development with NativeScript UI and layout support and access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your Angular, TypeScript and Javascript skills, and (c) Use various features of the NativeScript framework to build truly cross-platform mobile applications","persistence; mobile application development; react (javascript library); web development; angularjs; splash screen; mobile app; software development; front-end web development; user experience","Full Stack Web and Multiplatform Mobile App Development",4.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[17.8,38.6]","[NULL]","English","computer-science","mobile-and-web-development","aR-uTK4cEeaHBgqkZt_jWA"]
["Emerging Technologies","Emerging Technologies","Exploring Emerging Technologies for Lifelong Learning and Success","The State University of New York","Beginner",8.9,4.48,"https://www.coursera.org/learn/emerging-technologies-lifelong-learning","This learning opportunity is an open-access resource for lifelong learning. The aim is to identify the value and implications of using established and emerging technology tools for personal and professional growth and acquire strategies to develop lifelong learning habits to keep pace with technology change.\\n\\nThis course is targeted to the needs of ALL learners, including college students, faculty, current and career-seeking professionals, and anyone from across the globe with a desire to learn how to use emerging technologies to succeed in today’s rapidly changing world.\\n\\nThis project consists of two associated parts; #EmTechMOOC and EmTechWIKI.\\n\\n#EmTechMOOC is a Massive Open Online Course, also called a MOOC. The MOOC is hosted on the Coursera platform and provides a supportive environment for dialogue and sharing among participants.\\n\\nEmTechWIKI ( http://suny.edu/emtech ) has been built to complement the MOOC. It is a socially-curated discovery engine to discover tools, tutorials, and resources. The WIKI can be used as a stand-alone resource, or it can be used together with #EmTechMOOC. Anyone is welcome to add or edit WIKI resources.\\n\\nThe MOOC learning environment is structured around 5 modules. The concepts that are covered include Lifelong Learning and the 4Cs of 21st-century skills: including Communication and Collaboration, Creativity, Critical Thinking. Participants build a personal ePortfolio to display artifacts created through Discovery Exercises to showcase accomplishments. The final module provides an opportunity to summarize and reflect on the learning journey.\\n\\nLearning activities provide accessible, curated information and application exercises pertaining to current and emerging technologies relevant to learners and professionals alike, such as audio, video, social networking, etc.\\n\\n#EmTechMOOC is not a traditional MOOC. Instead of providing content-heavy information, it relies on discovery-based learning that is under the control of the learner. You will be prompted to locate and explore new resources and tools from the growing EmTechWIKI collection to help you meet your personally identified objectives. You will then reflect on and share your learning and discoveries through your personal portfolio that you will construct throughout the modules in the course.\\n\\nComplete the MOOC requirements to earn digital badges and a Coursera Certificate of Completion. SUNY affiliates may earn a Coursera Certificate with no fees to enroll.","lifelong learning; training and development; 4dos; event management; employment; learning; powtoon; communication; emerging technologies; time management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.6,10.7]","[NULL]","English","personal-development","personal-development","qmr_a63JEeeUJw7N6tQngg"]
["Emerging Technologies","Emerging Technologies","Innovation and emerging technology: Be disruptive","Macquarie University","Advanced",16.3,4.88,"https://www.coursera.org/learn/innovation-technology-be-disruptive","‘Disruption’ has become a buzz word in the business world. But what is a disruptive change-maker? In this course you will learn how to deploy disruptive strategic thinking to develop or protect your organisation’s competitive advantage. The most innovative and successful companies have all fundamentally disrupted and reshaped existing industries, or created completely new ones. But which strategies and technologies can you use to be disruptive and take the next step for your organisation? Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will enhance your ability to think strategically and become your organisation’s disruptive change-maker.","dynamic capabilities; innovation leadership; open innovation; emergency management; dominant design; International Logistics; communities of innovation; innovation; greenfield land; disruptive innovation","Strategising: Management for Global Competitive Advantage",2.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[8.7,22.1]","[NULL]","English","business","leadership-and-management","cgIBE5B0EeiW-QopTLEf_g"]
["Emerging Technologies","Emerging Technologies","Big Data Emerging Technologies","Yonsei University","Advanced",14.0,4.69,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","instagram; big data; internet of things; autonomous cars; ibm scalable powerparallel; Information Mapping; storm (event processor); data segment; apache hadoop; emerging technologies","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.7,19.1]","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["Emerging Technologies","Emerging Technologies","Smart Device & Mobile Emerging Technologies","Yonsei University","Beginner",15.7,4.7,"https://www.coursera.org/learn/smart-device-mobile-emerging-technologies","Every day you use your smartphone. Your smartphone wakes you up, it is the first thing you use in the morning, and the last thing you check (e.g., alarm setting) before you sleep. In addition, you use it all day. A typical cellphone user touches their mobile phone 2,617 times a day (Dscout report based on 2017) and people spend over 4 hours a day on their mobile phones (Hackernoon report) on average. Smartphones and smart watches are very useful and will become even more useful due to their smaller sizes, lighter weights, versatile functionalities, advanced mobile communications & wireless networking (e.g., Wi-Fi & Bluetooth) technologies. In this course, the start-of-the-art smartphone and smart watch technology and components in addition to the global market trends and future forecasts are introduced. Since everybody uses smartphones and smart watches, knowing the details about the most globally used electronic device will definitely help you in all aspects of new product and app design & development, as well as business planning. In addition, the core technology and components of the world’s most popular smartphones (i.e., the Samsung Galaxy Note8 and Apple iPhone X) and smart watches (i.e., Samsung Gear S3 and the Apple Watch Series 3) are introduced along with details of the iOS and Android smartphone OSs (Operating Systems) and mobile communications 1G to 5G (for details on Wi-Fi and Bluetooth, please take my course “IoT Wireless & Cloud Emerging Technology”). This course ends with projects that teach how to analyze the components of smartphones and check the mobile network. Consequently, this course will prepare you to be more successful in businesses strategic planning in the upcoming smart device era. I cordially welcome you in to the amazing internal dynamics of the smart device world!","wireless; data transmission; mimo; internet of things; telecommunications; radio access technology; spectral efficiency; symbian os; google; emerging technologies","Emerging Technologies: From Smartphones to IoT to Big Data",2.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[7.3,22.1]","Spanish","English","information-technology","cloud-computing","I2Ny6xkJEeiDeA4Rm_JxDg"]
["Emerging Technologies","Emerging Technologies","Transmedia Storytelling: Narrative worlds, emerging technologies, and global audiences","UNSW Sydney (The University of New South Wales)","Advanced",24.7,4.73,"https://www.coursera.org/learn/transmedia-storytelling","Transmedia storytelling is the practice of designing, sharing, and participating in a cohesive story experience across multiple traditional and digital delivery platforms - for entertainment, advertising and marketing, or social change. \\n\\nHave you ever read a book, seen a movie, watched a television show, or played a game that centred around different aspects of a larger story or universe? You may be familiar with popular examples of such universes like Star Wars, Marvel, and The Walking Dead (to name a few). \\n\\nHow do the professionals develop such expansive narratives? How do they ensure that each element stays true to the original story? How do they innovatively use different technologies to share the stories, grow audiences and create an active and involved community of fans? \\n\\nMore and more, we are also engaging with elements or franchises of larger and more complex stories across a much more diverse range of platforms like interactive web experiences, social media communities, mobile devices, theme parks, and even augmented and virtual reality. A major challenge that current and future storytellers face is being able to engage different audiences in a story that is seamlessly told across all of these different platforms.\\n\\n\\nWHAT WILL I LEARN?\\nThis course  will help you to design a strategy for developing and telling your own transmedia story. You will learn about what it takes to:\\n• Shape your ideas into compelling and well structured narratives and complex story worlds\\n• Identify, understand, and engage different audiences in your stories\\n• Create cohesive user experiences across different platforms\\n• Evaluate existing and emerging technologies to share your story with the world, and help your audience participate in the larger storyworld you create\\n\\nThe course provides you with a unique, authentic, and industry relevant learning opportunity. You will have access to current theory, industry examples and advice and undertake learning activities that will equip you with the tools you need to start developing your own ideas.\\n\\n\\nWHO WILL MY INSTRUCTORS BE?\\nYou will learn effective transmedia design strategies from leading UNSW Australia Art & Design academics. You will also examine case studies that demonstrate how amazing ideas, technology and audience contributions can be brought together to create dynamic storyworlds. You'll see examples of major, successful transmedia storytelling projects involving movies, digital entertainment, gaming, virtual reality and more. In collaboration with our industry partner X Media Lab, the course will give you inside access to the personal stories, insight and advice of the following innovative transmedia storytelling professionals from Hollywood USA, Canada and Australia. \\n\\n• Susan Bonds, 42 Entertainment, Los Angeles, USA\\n• Flint Dille, Screenwriter, Game Designer and Novelist, Los Angeles, USA\\n• Cindi Drennan, Illuminart, Australia\\n• Tom Ellard, UNSW Art & Design, Sydney, Australia\\n• Catherine Fargher, Dr Egg Digital, Sydney, Australia\\n• Hal Hefner, 3AM Creative, USA\\n• Brian Seth Hurst, StoryTech,  Los Angeles, USA\\n• Henry Jenkins, School for Communication and Journalism, University of Southern California, USA\\n• Mikey Leung, Digital Storytellers, Sydney, Australia\\n• Alex Lieu, 42 Entertainment, Los Angeles, USA\\n• Geoffrey Long, Annenberg Innovation Lab, University of Southern California, USA\\n• John McGhee, UNSW Art & Design, Sydney, Australia\\n• Joseph Narai, Transmedia Entertainment, Sydney, Australia\\n• Jeff Nicholas, The Uprising Creative, Los Angeles, USA\\n• Sergio Paez, Graphic Artist working in animation, TV, video games, and film. Co Founder, StoryboardArt, California, USA\\n• Steve Peters, No Mimes Media, Los Angeles, USA\\n• Stuart Samuels, Stuart Samuels Productions, Toronto, Canada\\n• Charles Santoso, Concept Artist, Sydney, Australia \\n• Seth Shapiro, New Amsterdam Media, Los Angeles, USA\\n• Scott Snibbe, Eyegroove, San Francisco, USA\\n• Tracey Taylor, The Pulse, Sydney, Australia\\n• Robert Tercek, Public Speaker, Digital Media Strategist, and Executive Leader for Creative Ventures and Business Innovation, • University of Southern California, USA\\n• Kevin Williams, Founder & Director of KWP Ltd and DNA Association, UK\\n• Brent Young, Super 78, Los Angeles, USA\\n• Maya Zuckerman, Transmedia SF, San Francisco, USA\\n\\nCOURSE CONTENT DEVELOPMENT\\nKarin Watson, Iman Irannejad, and Dr. Simon McIntyre.","Creativity; storytelling; public relations; writing; community management; user experience; Video Production; journalism; Video Editing; audience","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16,31.5]","[NULL]","English","arts-and-humanities","music-and-art","0QsUTZowEeWOGRJpcxIcbQ"]
["Emerging Technologies","Emerging Technologies","AR (Augmented Reality) & Video Streaming Services Emerging Technologies","Yonsei University","Beginner",15.3,4.44,"https://www.coursera.org/learn/ar-technologies-video-streaming","Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia!","emerging technologies; multiview video coding; internet of things; audio codecs; virtual reality; summed area table; augmented reality; architecture; blob detection; cdnetworks","Emerging Technologies: From Smartphones to IoT to Big Data",4.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.5,21]","Spanish","English","information-technology","cloud-computing","ULheARkJEeiMbgquyRDyrA"]
["Emerging Technologies","Emerging Technologies","IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies","Yonsei University","Intermediate",17.1,4.48,"https://www.coursera.org/learn/iot-wireless-cloud-computing","IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds. Since we will live in an IoT world supported by Clouds, knowledge of the core technologies and platforms of IoT and Clouds will enable you with the tools to become a true leader in the future product and business world. In this course, the start-of-the-art IoT and wireless networks and Cloud technologies are introduced (for details on 1G to 5G mobile communications and smartphone and smart device technology, please take my course “Smart Device & Mobile Emerging Technologies”). This course ends with projects that teach how to analyze Bluetooth and W-Fi wireless networks and setup and use an EC2 (Elastic Compute Cloud) Virtual Computer in AWS (Amazon Web Service), which is the most powerful and popular Cloud technology in the world. Comparing to the human body, IoT is the neural network and the Cloud is the brain. Thus, I cordially welcome you into the brain and neural network of the future intelligence world!","wireless gateway; edge computing; sigfox; band (application); wi-fi; bluetooth; internet of things; internet; wireless; fog computing","Emerging Technologies: From Smartphones to IoT to Big Data",3.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[9.1,23.1]","Spanish","English","information-technology","cloud-computing","P3OXZhkJEeiMqBKHQprRHg"]
["Emerging Technologies","Emerging Technologies","Blockchain and Cryptocurrency Explained","University of Michigan","Beginner",7.6,4.96,"https://www.coursera.org/learn/crypto-finance","The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.\\n\\nIn this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.\\n\\nWe then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.\\n\\nFinally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.","financial markets; capital market line; weighted average cost of capital; payment systems; cryptocurrency; financial technology; cryptography; bitcoin; mobile payments; blockchains","Financial Technology (Fintech) Innovations",2.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[4.9,9.8]","[NULL]","English","business","finance","xx4YPdr9EemZYA6RFvxeDg"]

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[]
["Data","Back to summary page","This sheet collates the top recommended data courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team"]
[]
["Competency","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["Data Analysis","Best Courses","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Data Analysis","Best Courses","Excel Skills for Business: Essentials","Macquarie University","Beginner",20.0,4.84,"https://www.coursera.org/learn/excel-essentials","In this first course of the specialization Excel Skills for Business you will learn the Essentials of Microsoft Excel. Within six weeks, you will learn to expertly navigate the Excel user interface, perform basic calculations with formulas and functions, professionally format spreadsheets, and create visualizations of data through charts and graphs.\\n\\nWhether you are self-taught and want to fill in the gaps for better efficiency and productivity, or whether you have never used Excel before, this course will set you up with a solid foundation to become a confident user and develop more advanced skills in later courses. \\n\\nWe have brought together a great teaching team that will be with you every step of the way. A broad range of practice quizzes and challenges will provide great opportunities to build up your skillset. Work through each new challenge with our team and in no time you will surprise yourself with how far you have come. \\n\\nSpreadsheet software is one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. At a time when digital skills jobs are growing much faster than non-digital jobs, make sure to position yourself ahead of the rest by adding Excel skills to your employment portfolio.","analysis; sorting; microsoft excel; page layout; graphs; data segment; spreadsheet; keyboard shortcut; data uri scheme; chart","Excel Skills for Business",1.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[11.4,31.6]","Arabic","English","business","business-essentials","_uJaK-gwEeaksw4f8WaZLg"]
["Data Analysis","Best Courses","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Data Analysis","Best Courses","Excel/VBA for Creative Problem Solving, Part 1","University of Colorado Boulder","Beginner",27.1,4.84,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-1","Excel/VBA for Creative Problem Solving, Part 1 is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).  \\n\\nThis course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems.  In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.\\n\\nNew to computer programming?  The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code!  No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.\\n\\nAfter you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","euler's totient function; macro (computer science); visual basic; microsoft excel vba; microsoft excel; debugging; problem solving; microsoft excel macro; computer program; computer programming","Excel/VBA for Creative Problem Solving",1.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[12.9,46.3]","[NULL]","English","computer-science","algorithms","MFaw7sV2Eee5rApLdx8b-g"]
["Data Analysis","Best Courses","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Analysis","Best Courses","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.4,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","data model; microsoft excel macro; data validation; lookup table; microsoft excel; solver; data uri scheme; data segment; macro (computer science); memoization","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[15.7,30.4]","Arabic; Vietnamese","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["Data Analysis","Best Courses","Process Mining: Data science in Action","Eindhoven University of Technology","Beginner",29.9,4.78,"https://www.coursera.org/learn/process-mining","Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.\\n\\nData science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as \"data science in action\".\\n\\nThe course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.\\n\\nThis course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.\\n\\nThe course covers the three main types of process mining.\\n\\n1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log.\\n\\n2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa.\\n\\n3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases.\\n\\nProcess mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between \"business\" and \"IT\". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development.\\n\\nThe course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field.\\n\\nAfter taking this course you should:\\n- have a good understanding of Business Process Intelligence techniques (in particular process mining),\\n- understand the role of Big Data in today’s society,\\n- be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,\\n- be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),\\n- be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),\\n- be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),\\n- have a good understanding of the data needed to start a process mining project,\\n- be able to characterize the questions that can be answered based on such event data,\\n- explain how process mining can also be used for operational support (prediction and recommendation), and\\n- be able to conduct process mining projects in a structured manner.","algorithms; process modeling; petri net; netting; data uri scheme; process; data segment; data mining; conformance checking; process mining","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.1,36.9]","[NULL]","English","data-science","data-analysis","SN5tm_tBEeScRyIAC3-PxA"]
["Data Analysis","Best Courses","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","frequency distribution; pie chart; statistics; data analysis; confidence; statistical analysis; percentile; business statistics; basic descriptive statistics; analysis","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.5]","Arabic; Korean","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Data Analysis","Best Courses","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Data Analysis","Best Courses","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Data Analysis","Basic Descriptive Statistics","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Data Analysis","Basic Descriptive Statistics","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Data Analysis","Basic Descriptive Statistics","Probability and Statistics: To p or not to p?","University of London","Beginner",21.2,4.48,"https://www.coursera.org/learn/probability-statistics","We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.  Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events.\\n\\nTo study, or not to study?  To invest, or not to invest?  To marry, or not to marry?\\n\\nWhile uncertainty makes decision-making difficult, it does at least make life exciting!  If the entire future was known in advance, there would never be an element of surprise.  Whether a good future or a bad future, it would be a known future.\\n\\nIn this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.\\n\\nKey topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.","statistics; multivariate statistics; hypothesis testing; uncertainty; probability; probability and statistics; inference; statistical inference; hypothesis; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.1,30.4]","[NULL]","English","data-science","probability-and-statistics","b_ubIzckEeeeFwoohRNaig"]
["Data Analysis","Basic Descriptive Statistics","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","frequency distribution; pie chart; statistics; data analysis; confidence; statistical analysis; percentile; business statistics; basic descriptive statistics; analysis","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.5]","Arabic; Korean","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Data Analysis","Basic Descriptive Statistics","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Data Analysis","Data Analysis Software","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Analysis","Data Analysis Software","A Crash Course in Data Science","Johns Hopkins University","Beginner",14.4,4.43,"https://www.coursera.org/learn/data-science-course","By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.\\n\\nThis is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.\\n\\nAfter completing this course you will know. \\n\\n1. How to describe the role data science plays in various contexts\\n2. How statistics, machine learning, and software engineering play a role in data science\\n3. How to describe the structure of a data science project\\n4. Know the key terms and tools used by data scientists\\n5. How to identify a successful and an unsuccessful data science project\\n3. The role of a data science manager\\n\\n\\nCourse cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT","data uri scheme; project; machine learning; data segment; data analysis; learning; finger protocol; analysis; Data Science; statistics","Executive Data Science",1.0,"https://www.coursera.org/specializations/executive-data-science","Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.\\n\\nIn four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.","[3.4,21.1]","Arabic; Russian; Hindi; Chinese; Turkish","English","data-science","data-analysis","UEk5ZkEWEeWC4g7VhG4bTQ"]
["Data Analysis","Data Analysis Software","Data Analysis Tools","Wesleyan University","Intermediate",12.7,4.44,"https://www.coursera.org/learn/data-analysis-tools","In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.","analysis; data analysis; analysis of variance; statistics; square (algebra); statistical hypothesis testing; correlation and dependence; chi-squared distribution; interaction (statistics); hypothesis testing","Data Analysis and Interpretation",2.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9,15.7]","[NULL]","English","data-science","data-analysis","ENhHCTboEeW8ZAoCexam_w"]
["Data Analysis","Data Analysis Software","Data Analysis and Reporting in SAS Visual Analytics","SAS","Advanced",8.7,4.85,"https://www.coursera.org/learn/data-analysis-reporting-sas-va","In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.","need; graphs; path (variable); source document; geometric data structures; analysis; sas language; uml tools; data analysis; Data Science","SAS Visual Business Analytics",2.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[3.2,12.1]","[NULL]","English","data-science","data-analysis","EVBf7e-bEemjIRKsAX_xWg"]
["Data Analysis","Data Analysis Software","Exploratory Data Analysis with MATLAB","MathWorks","Intermediate",25.9,4.87,"https://www.coursera.org/learn/exploratory-data-analysis-matlab","In this course, you will learn to think like a data scientist and ask questions of your data.  You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use  MATLAB to automatically generate code so you can learn syntax as you explore.  You will also use interactive documents, called live scripts,  to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.\\n\\nThese skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). \\n\\nBy the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data.  You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.","matrices; curve fitting; live cd; matlab; variance; analysis; analysis of variance; algorithms; image processing; evaluation","Practical Data Science with MATLAB",1.0,"https://www.coursera.org/specializations/practical-data-science-matlab","Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?\\n\\nCompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.\\n\\nThis specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).\\n\\nThroughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.","[17.4,31.4]","[NULL]","English","data-science","data-analysis","oPaAXFvdEemmqxJnu16Qrg"]
["Data Analysis","Data Analysis Software","Big Data Analysis with Scala and Spark","École Polytechnique Fédérale de Lausanne","Beginner",14.5,4.64,"https://www.coursera.org/learn/scala-spark-big-data","Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n- read data from persistent storage and load it into Apache Spark,\\n- manipulate data with Spark and Scala,\\n- express algorithms for data analysis in a functional style, \\n- recognize how to avoid shuffles and recomputation in Spark,\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.","scala programming; data uri scheme; distributed computing; mathematical optimization; functional programming; big data; sql; apache spark; data segment; computer programming","Functional Programming in Scala",4.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[9.9,17.6]","[NULL]","English","computer-science","algorithms","e8VseYIYEeWxQQoymFg8zQ"]
["Data Analysis","Data Analysis Software","Introduction to Data Analysis Using Excel","Rice University","Beginner",12.0,4.68,"https://www.coursera.org/learn/excel-data-analysis","The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners -  those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. \\n________________________________________\\nWEEK 1\\nModule 1: Introduction to Spreadsheets\\nIn this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.\\n\\nTopics covered include:\\n•\\tReading data into Excel using various formats\\n•\\tBasic functions in Excel, arithmetic as well as various logical functions\\n•\\tFormatting rows and columns\\n•\\tUsing formulas in Excel and their copy and paste using absolute and relative referencing\\n________________________________________\\nWEEK 2\\nModule 2: Spreadsheet Functions to Organize Data\\nThis module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. \\n\\nTopics covered include:\\n•\\tIF and the nested IF functions\\n•\\tVLOOKUP and HLOOKUP\\n•\\tThe RANDBETWEEN function\\n________________________________________\\nWEEK 3\\nModule 3: Introduction to Filtering, Pivot Tables, and Charts\\nThis module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel.\\n\\nTopics covered include:\\n•\\tVLOOKUP across worksheets\\n•\\tData filtering in Excel\\n•\\tUse of Pivot tables with categorical as well as numerical data\\n•\\tIntroduction to the charting capability of Excel\\n________________________________________\\nWEEK 4\\nModule 4: Advanced Graphing and Charting\\nThis module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own.\\n\\nTopics covered include\\n•\\tLine, Bar and Pie charts\\n•\\tPivot charts\\n•\\tScatter plots\\n•\\tHistograms","pivot chart; memoization; histogram; microsoft excel; chart; pivot table; lookup table; data analysis; data uri scheme; analysis","Business Statistics and Analysis",1.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.6,14.6]","Spanish; Arabic","English","data-science","data-analysis","OUTGOrvTEeWuCAqiwoZfSw"]
["Data Analysis","Data Analysis Software","Excel Skills for Business: Essentials","Macquarie University","Beginner",20.0,4.84,"https://www.coursera.org/learn/excel-essentials","In this first course of the specialization Excel Skills for Business you will learn the Essentials of Microsoft Excel. Within six weeks, you will learn to expertly navigate the Excel user interface, perform basic calculations with formulas and functions, professionally format spreadsheets, and create visualizations of data through charts and graphs.\\n\\nWhether you are self-taught and want to fill in the gaps for better efficiency and productivity, or whether you have never used Excel before, this course will set you up with a solid foundation to become a confident user and develop more advanced skills in later courses. \\n\\nWe have brought together a great teaching team that will be with you every step of the way. A broad range of practice quizzes and challenges will provide great opportunities to build up your skillset. Work through each new challenge with our team and in no time you will surprise yourself with how far you have come. \\n\\nSpreadsheet software is one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. At a time when digital skills jobs are growing much faster than non-digital jobs, make sure to position yourself ahead of the rest by adding Excel skills to your employment portfolio.","analysis; sorting; microsoft excel; page layout; graphs; data segment; spreadsheet; keyboard shortcut; data uri scheme; chart","Excel Skills for Business",1.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[11.4,31.6]","Arabic","English","business","business-essentials","_uJaK-gwEeaksw4f8WaZLg"]
["Data Analysis","Data Analysis Software","Excel Skills for Business: Intermediate I","Macquarie University","Beginner",21.9,4.89,"https://www.coursera.org/learn/excel-intermediate-1","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digitals skills lead to higher income and better employment opportunities at a time when digital skills job are growing much faster than non-digital jobs.\\n\\nIn this second course of our Excel specialization Excel Skills for Business you will build on the strong foundations of the Essentials course. Intermediate Skills I will expand your Excel knowledge to new horizons. You are going to discover a whole range of skills and techniques that will become a standard component of your everyday use of Excel. In this course, you will build a solid layer of more advanced skills so you can manage large datasets and create meaningful reports. These key techniques and tools will allow you to add a sophisticated layer of automation and efficiency to your everyday tasks in Excel.\\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Prashan and Nicky will guide you through each week (and I am even going to make a guest appearance in Week 5 to help you learn about my favourite tool in Excel - shh, no spoilers!). Work through each new challenge step-by-step and in no time you will surprise yourself by how far you have come. This time around, we are going to follow Uma's trials and tribulations as she is trying to find her feet in a new position in the fictitious company PushPin. For those of you who have done the Essentials course, you will already be familiar with the company. Working through her challenges which are all too common ones that we encounter everyday, will help you to more easily relate to the skills and techniques learned in each week and apply them to familiar and new contexts.","data segment; pivot chart; pivot table; analysis; euler's totient function; microsoft excel; concatenation; memoization; consolization; chart","Excel Skills for Business",2.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[13.8,27.5]","Arabic; Vietnamese","English","business","business-essentials","ZS2v-E_kEeeqIxKkUVGiXg"]
["Data Analysis","Data Analysis Software","Excel/VBA for Creative Problem Solving, Part 1","University of Colorado Boulder","Beginner",27.1,4.84,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-1","Excel/VBA for Creative Problem Solving, Part 1 is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).  \\n\\nThis course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems.  In this course (Part 1), you will: 1) create macros to automate procedures in Excel; 2) define your own user-defined functions; 3) create basic subroutines to interface with the user; 4) learn the basic programming structures in VBA; and 5) automate Excel’s Goal Seek and Solver tools and use numerical techniques to create “live solutions” to solve targeting and optimization problems.\\n\\nNew to computer programming?  The extremely intuitive and visual nature of VBA lends itself nicely to teaching and learning - what a fun way to learn to code!  No prior knowledge in programming nor advanced math skills are necessary yet seasoned programmers will pick up new and creative spreadsheet problem solving strategies.\\n\\nAfter you have learned the basics of VBA, each module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","euler's totient function; macro (computer science); visual basic; microsoft excel vba; microsoft excel; debugging; problem solving; microsoft excel macro; computer program; computer programming","Excel/VBA for Creative Problem Solving",1.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[12.9,46.3]","[NULL]","English","computer-science","algorithms","MFaw7sV2Eee5rApLdx8b-g"]
["Data Analysis","Data Analysis Software","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.4,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","data model; microsoft excel macro; data validation; lookup table; microsoft excel; solver; data uri scheme; data segment; macro (computer science); memoization","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[15.7,30.4]","Arabic; Vietnamese","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["Data Analysis","Data Analysis Software","Excel Skills for Business: Advanced","Macquarie University","Advanced",25.4,4.67,"https://www.coursera.org/learn/excel-advanced","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces around the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. Across the globe, millions of job advertisements requiring Excel skills are posted every day. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this course will position you ahead of others, so keep reading.\\n\\nIn this last course of our Specialization Excel Skills for Business you will build on the strong foundations of the first three courses: Essentials, Intermediate I + II.  In the Advanced course, we will prepare you to become a power user of Excel - this is your last step before specializing at a professional level. The topics we have prepared will challenge you as you learn how to use advanced formula techniques and sophisticated lookups. You will clean and prepare data for analysis, and learn how to work with dates and financial functions. An in-depth look at spreadsheet design and documentation will prepare you for our big finale, where you will learn how to build professional dashboards in Excel.","data segment; financial modeling; euler's totient function; index; finance; lookup table; data cleansing; microsoft excel; data uri scheme; dashboard (business)","Excel Skills for Business",4.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[16.8,32]","Arabic","English","business","business-essentials","J2Pao0_lEeeF5RIYZYolcA"]
["Data Analysis","Data Analysis Software","Excel/VBA for Creative Problem Solving, Part 2","University of Colorado Boulder","Beginner",24.9,4.88,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-2","Excel/VBA for Creative Problem Solving, Part 2 builds off of knowledge and skills obtained in \"Excel/VBA for Creative Problem Solving, Part 1\" and is aimed at learners who are seeking to augment, expand, optimize, and increase the efficiency of their Excel spreadsheet skills by tapping into the powerful programming, automation, and customization capabilities available with Visual Basic for Applications (VBA).\\n\\nIn Part 2 of the course, learners will: 1) learn how to work with arrays and import/export arrays from/to Excel using VBA code; 2) learn how to work with text strings and write data to .txt files and import information from .txt files; 3) automate the import, modification, and consolidation of information from multiple worksheets into a central worksheet as well as the import of information from multiple workbooks to a central workbook; and 4) gain experience with creating professional user forms to interface with the user, perform advanced calculations, and manipulate data on the spreadsheet.\\n\\nLearners who have a foundational understanding of VBA code and programming structures can jump right into Part 2 of the course without taking Part 1 and use the screencasts in Part 1 as reference.\\n\\nEach module will introduce foundational and broad problems inspired by situations that you might encounter in the real world.  To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment.  This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.","computer science; approximation error; microsoft excel; computer program; computer programming; visual basic; arrays; abort, retry, fail?; combo box; microsoft excel vba","Excel/VBA for Creative Problem Solving",2.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[17,40.1]","[NULL]","English","computer-science","algorithms","wfmMJNMKEeeatxK9DfVCWA"]
["Data Analysis","Data Analysis Software","Excel/VBA for Creative Problem Solving, Part 3 (Projects)","University of Colorado Boulder","Beginner",27.3,4.8,"https://www.coursera.org/learn/excel-vba-for-creative-problem-solving-part-3-projects","In this course, learners will complete several VBA projects.  It is highly recommended that learners first take \"Excel/VBA for Creative Problem Solving, Part 1\" and \"Excel/VBA for Creative Problem Solving, Part 2\".  This course builds off of skills learned in those two courses.  This is a project-based course.  Therefore, the projects are quite open-ended and there are multiple ways to solve the problems.  Through the use of Peer Review, other learners will grade learners' projects based on a grading rubric.","microsoft excel vba; visual basic; euler's totient function; computer programming; data segment; analysis; integration by parts; microsoft excel; integration testing; interactivity","Excel/VBA for Creative Problem Solving",3.0,"https://www.coursera.org/specializations/excel-vba-creative-problem-solving","This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 \"real world\" and somewhat open ended projects, which are graded through peer review.","[18.2,33.3]","[NULL]","English","computer-science","algorithms","cDXfJhBlEei39QrsjEDTBA"]
["Data Analysis","Data Mining","Getting Started with SAS Visual Analytics","SAS","Intermediate",6.0,4.67,"https://www.coursera.org/learn/preparing-data-sas-va","In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.","data mining; analytics; Data Science; visual analytics; sas language; minitab; .properties; business analytics; forecasting; methodology","SAS Visual Business Analytics",1.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[2.8,7.7]","[NULL]","English","data-science","data-analysis","4HXQKO-aEemjIRKsAX_xWg"]
["Data Analysis","Data Mining","Process Mining: Data science in Action","Eindhoven University of Technology","Beginner",29.9,4.78,"https://www.coursera.org/learn/process-mining","Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.\\n\\nData science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as \"data science in action\".\\n\\nThe course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.\\n\\nThis course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.\\n\\nThe course covers the three main types of process mining.\\n\\n1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log.\\n\\n2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa.\\n\\n3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases.\\n\\nProcess mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between \"business\" and \"IT\". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development.\\n\\nThe course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field.\\n\\nAfter taking this course you should:\\n- have a good understanding of Business Process Intelligence techniques (in particular process mining),\\n- understand the role of Big Data in today’s society,\\n- be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,\\n- be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),\\n- be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),\\n- be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),\\n- have a good understanding of the data needed to start a process mining project,\\n- be able to characterize the questions that can be answered based on such event data,\\n- explain how process mining can also be used for operational support (prediction and recommendation), and\\n- be able to conduct process mining projects in a structured manner.","algorithms; process modeling; petri net; netting; data uri scheme; process; data segment; data mining; conformance checking; process mining","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.1,36.9]","[NULL]","English","data-science","data-analysis","SN5tm_tBEeScRyIAC3-PxA"]
["Data Analysis","Data Mining","Cluster Analysis in Data Mining","University of Illinois at Urbana-Champaign","Advanced",18.9,4.27,"https://www.coursera.org/learn/cluster-analysis","Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.","data clustering algorithms; analysis; hierarchical clustering; clustering high-dimensional data; similarity measure; mixture model; algorithms; cluster analysis; measurement; data mining","Data Mining",5.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[8.3,28.7]","Korean","English","data-science","data-analysis","2NULnOvKEeWtYRLS6TLjGQ"]
["Data Analysis","Data Mining","Text Retrieval and Search Engines","University of Illinois at Urbana-Champaign","Beginner",25.0,4.37,"https://www.coursera.org/learn/text-retrieval","Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. \\n\\nThis course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines.","text mining; code segment; recommender systems; information retrieval; inverted index; vector spaces; document retrieval; language model; natural language processing; data mining","Data Mining",2.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[12.2,35.5]","Korean","English","data-science","data-analysis","68PSjeudEeWwngojZhi1dw"]
["Data Analysis","Data Mining","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Data Analysis","Data Mining","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","data uri scheme; data visualization software; graphs; data visualization; unified parallel c; data virtualization; visualization software; graphics; tableau software; software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Korean; Chinese","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Data Analysis","Data Mining","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Data Analysis","Financial Analysis","Financial Analysis for Startups","Yonsei University","Advanced",13.6,4.44,"https://www.coursera.org/learn/financial-ratios","In the previous two courses, you have learned how to value startups using the discounted cash flow method and multiple methods. However, you have not learned how to estimate cash flows or earnings of startups. In this course, you are going to learn the concepts and usage of financial ratios. Using financial ratios such as profitability, liquidity, leverage, efficiency, and growth, you can tell financial health of a startup. Profitability ratios measure how profitable a firm is by looking at ROS, ROA, and ROE. Liquidity ratios measure how quickly a firm turns assets into cash to pay-off short-term liability and they include Current Ratio, Quick Ratio, and Cash Ratio. Leverage ratios measure how much long-term debt a firm has relative to its assets or equity. Efficiency ratios measure how efficiently a firm utilizes its assets. It is like a physical exam for humans and you can tell the fiscal status of a startup using financial ratios. You can also develop pro forma financial statement using financial ratios. Using pro forma financial statement, you can tell future financial status of a startup as well as cash flows. In addition, using information from pro forma statement and valuation methods, you can do the valuation of a startup.","financial plan; ratio analysis; financial ratio; sales; balance sheet; income; finance; sustainable growth rate; pro forma; financial analysis","Valuation and Financial Analysis For Startups",3.0,"https://www.coursera.org/specializations/startup-valuation","The Startup Valuation and Financial Analysis Specialization teaches two of the most often used methods to find the value of a startup. You’ll learn how to find the value of founder’s ownership before and after additional funding, how to read financial statements and make pro-forma statements, and how to determine the financial health and status of a startup and estimate future earnings and value. You’ll then use various investment criteria, such as Net Present Value (NPV) and Individual Rate of Return (IRR), to make a decision about whether and where to invest your money.\\n\\nSpecific topics include: the time value of money, discounted cash flows method, multiple method, financial statements analysis, free cash flows, capital budgeting decision rules and current trends. The Capstone Project will find the value of startups using the methods taught in the course.","[8.1,15.5]","Korean; Spanish","English","business","finance","hUPm20cPEea9IA5mW7znqQ"]
["Data Analysis","Financial Analysis","Python and Statistics for Financial Analysis","The Hong Kong University of Science and Technology","Beginner",11.1,4.43,"https://www.coursera.org/learn/python-statistics-financial-analysis","Course Overview: https://youtu.be/JgFV5qzAYno\\n\\nPython is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.\\n\\nBy the end of the course, you can achieve the following using python:\\n\\n- Import, pre-process, save and visualize financial data into pandas Dataframe\\n\\n- Manipulate the existing financial data by generating new variables using multiple columns\\n\\n- Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts\\n\\n- Build a trading model using multiple linear regression model \\n\\n- Evaluate the performance of the trading model using different investment indicators\\n\\nJupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.","balance sheet; statistical analysis; financial modeling; analysis; statistics; python programming; pandas; financial analysis; finance; computer programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.1]","[NULL]","English","business","finance","ockwjyGkEeiAdw4vw_tgPg"]
["Data Analysis","Financial Analysis","The Language and Tools of Financial Analysis","The University of Melbourne","Beginner",13.3,4.61,"https://www.coursera.org/learn/financial-analysis","In this course, participants will learn the foundations of accounting principles and financial analysis, develop an understanding of the links between these, and the measurement of value creation at the firm level. This is the first course in a four-course Specialization on the Essentials of Corporate Financial Analysis and Decision-Making, created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).\\n\\nView the MOOC promotional video here: http://tinyurl.com/jeoa83t","finance; analysis; flow network; cash flow; financial ratio; financial analysis; balance sheet; ratio analysis; cash flow analysis; language","Essentials of Corporate Finance",1.0,"https://www.coursera.org/specializations/learn-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[8.9,15.7]","[NULL]","English","business","finance","VuB23StaEeWccAqzeA4VPw"]
["Data Analysis","Financial Analysis","Applying Investment Decision Rules for Startups","Yonsei University","Advanced",11.2,4.28,"https://www.coursera.org/learn/capital-budgeting","In the previous course, you learned financial statement analysis and how to make estimate of future financial status. In this course, you are going to learn capital budgeting. That is, how to make an investment decision. You would like to select the best project among various projects you can take. Then, you need to know the criteria. In this course, you are going to learn investment decision criteria such as NPV and IRR, which are most popular decision rules. Using financial analysis and discounted cash flow method, you can make pro forma financial statement and estimate project cash flows. Then, you apply investment criteria to determine whether to invest or not. After learning how to apply NPV and IRR method to investment decision, you are going to learn how to evaluate NPV estimate and scenario, what-if analyses and break-even analysis. In addition to NPV and IRR, you are going to learn Payback period method and Profitability method to determine whether to invest or not when there is a political risk or capital rationing.","investment decisions; decision tree; capital budgeting; investment; project; valuation of options; cash flow; real options valuation; payback period; discounting","Valuation and Financial Analysis For Startups",4.0,"https://www.coursera.org/specializations/startup-valuation","The Startup Valuation and Financial Analysis Specialization teaches two of the most often used methods to find the value of a startup. You’ll learn how to find the value of founder’s ownership before and after additional funding, how to read financial statements and make pro-forma statements, and how to determine the financial health and status of a startup and estimate future earnings and value. You’ll then use various investment criteria, such as Net Present Value (NPV) and Individual Rate of Return (IRR), to make a decision about whether and where to invest your money.\\n\\nSpecific topics include: the time value of money, discounted cash flows method, multiple method, financial statements analysis, free cash flows, capital budgeting decision rules and current trends. The Capstone Project will find the value of startups using the methods taught in the course.","[6.2,16.4]","Korean; Spanish","English","business","finance","XFoWy0cSEeaDoBKORUcroQ"]
["Data Analysis","Financial Analysis","Excel Skills for Business: Advanced","Macquarie University","Advanced",25.4,4.67,"https://www.coursera.org/learn/excel-advanced","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces around the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. Across the globe, millions of job advertisements requiring Excel skills are posted every day. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this course will position you ahead of others, so keep reading.\\n\\nIn this last course of our Specialization Excel Skills for Business you will build on the strong foundations of the first three courses: Essentials, Intermediate I + II.  In the Advanced course, we will prepare you to become a power user of Excel - this is your last step before specializing at a professional level. The topics we have prepared will challenge you as you learn how to use advanced formula techniques and sophisticated lookups. You will clean and prepare data for analysis, and learn how to work with dates and financial functions. An in-depth look at spreadsheet design and documentation will prepare you for our big finale, where you will learn how to build professional dashboards in Excel.","data segment; financial modeling; euler's totient function; index; finance; lookup table; data cleansing; microsoft excel; data uri scheme; dashboard (business)","Excel Skills for Business",4.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[16.8,32]","Arabic","English","business","business-essentials","J2Pao0_lEeeF5RIYZYolcA"]
["Data Analysis","Financial Analysis","Machine Learning for Accounting with Python","University of Illinois at Urbana-Champaign","Intermediate",27.9,5.0,"https://www.coursera.org/learn/machine-learning-accounting-python","This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.\\n\\nAccounting Data Analytics with Python is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course. While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. Upon completion of the two courses, students should be able to complete an entire data analytics process with Python.","chinese restaurant process; bernoulli scheme; modeling and analysis of real time and embedded systems; change vector; mimic function; as a service; elementary algebra; machine learning; distributive property; tree network","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.5,33.6]","[NULL]","English","data-science","machine-learning","lcCqna1jEemETRI5coYdLg"]
["Data Analysis","Spatial Data Analysis","GIS Data Formats, Design and Quality","University of California, Davis","Beginner",21.2,4.84,"https://www.coursera.org/learn/gis-data","In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: \\n\\nWeek 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. \\n\\nWeek 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.\\n\\nWeek 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.\\n\\nWeek 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.\\n\\nTake GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","geographic information system; arcgis; data management; spatial analysis; management; spatial data analysis; statistics; data analysis; analysis; digitizing","Geographic Information Systems  (GIS)",2.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.2,31.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","qqP6hnElEeWi0g6YoSAL-w"]
["Data Analysis","Spatial Data Analysis","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Analysis","Spatial Data Analysis","Geospatial Analysis Project","University of California, Davis","Intermediate",12.6,4.8,"https://www.coursera.org/learn/gis-capstone","In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:\\n\\nMilestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it.\\n\\nMilestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type.\\n\\nMilestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis.\\n\\nMilestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.","integration testing; metadata; remote sensing; arcgis; geographic information system; map; geospatial analysis; analysis; cartography; web","Geographic Information Systems  (GIS)",5.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[7.7,15.8]","[NULL]","English","data-science","data-analysis","MXcK-3EiEeWbbw5cIAKQrw"]
["Data Analysis","Statistical Analysis","Reproducible Research","Johns Hopkins University","Beginner",10.0,4.5,"https://www.coursera.org/learn/reproducible-research","This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them.  The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.","data uri scheme; analysis; statistics; markup language; data analysis; knitr; omega language; r programming; language; computer programming","Data Science",5.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[6.8,12.2]","French; Vietnamese; Korean","English","data-science","data-analysis","-4ffSHNYEeWIfhKr_WcYsQ"]
["Data Analysis","Statistical Analysis","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Data Analysis","Statistical Analysis","Logistic Regression in R for Public Health","Imperial College London","Advanced",10.3,4.75,"https://www.coursera.org/learn/logistic-regression-r-public-health","Welcome to Logistic Regression in R for Public Health! \\n\\nWhy logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. \\n\\nBy the end of this course, you will be able to: \\nExplain when it is valid to use logistic regression \\nDefine odds and odds ratios \\nRun simple and multiple logistic regression analysis in R and interpret the output \\nEvaluate the model assumptions for multiple logistic regression in R \\nDescribe and compare some common ways to choose a multiple regression model \\n\\nThis course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. \\n\\nWe hope you enjoy the course!","learning; medical statistics; logistic regression; r programming; statistical analysis; interpretation; diabetes; linearity; supply chain; computer programming","Statistical Analysis with R for Public Health",3.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.3,12.3]","[NULL]","English","life-sciences","public-health","HIWhL1UPEeiYKRJKvk-prg"]
["Data Analysis","Statistical Analysis","Business Analytics for Decision Making","University of Colorado Boulder","Advanced",16.0,4.51,"https://www.coursera.org/learn/business-analytics-decision-making","In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.","cluster analysis; analysis; uncertainty; simulation; data analysis; analytics; data clustering algorithms; business analytics; data uri scheme; mathematical optimization","Advanced Business Analytics",3.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[6.1,22.7]","Korean; Arabic","English","data-science","data-analysis","oeHwKhiDEea2Gw5ROLcooQ"]
["Data Analysis","Statistical Analysis","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","multicollinearity; linear regression; business statistics; interaction; linearity; analysis; statistics; interaction (statistics); regression analysis; microsoft excel","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.4]","[NULL]","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Data Analysis","Statistical Analysis","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; microsoft excel; statistical hypothesis testing; confidence interval; software testing; statistics; data analysis; hypothesis testing; hypothesis","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.7,16.9]","[NULL]","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Data Analysis","Statistical Analysis","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Data Analysis","Statistical Analysis","Inferential and Predictive Statistics for Business","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.82,"https://www.coursera.org/learn/business-statistics","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. The course aim to cover statistical ideas that apply to managers. We will consider two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on  interpreting the meaning of the results in a business and managerial setting.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies.  This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tTest for beliefs about a population..\\n•\\tCompare differences between populations.\\n•\\tUse linear regression model for prediction. \\n•\\tLearn how to use Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","analysis; hypothesis testing; statistical analysis; hypothesis; business statistics; modeling; statistical inference; statistical hypothesis testing; average; statistics","Managerial Economics and Business Analysis",6.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.5,19.8]","Korean","English","business","business-essentials","SPXfEJz9EeWILQ7D3uPEMw"]
["Data Analysis","Statistical Analysis","Introduction to Statistics & Data Analysis in Public Health","Imperial College London","Advanced",12.1,4.68,"https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health","Welcome to Introduction to Statistics & Data Analysis in Public Health!\\n\\nThis course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","software testing; rstudio; analysis; statistics; statistical analysis; computer programming; statistical hypothesis testing; hypothesis; hypothesis testing; r programming","Statistical Analysis with R for Public Health",1.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.6,15.9]","[NULL]","English","life-sciences","public-health","wYVFrFUOEeiXDgqeSsw0yA"]
["Data Analysis","Statistical Analysis","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","learning; computer programming; r programming; linear regression; health data; statistical analysis; Economics; interpretation; medical statistics; gratitude","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.2,16.5]","[NULL]","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["Data Analysis","Statistical Analysis","Logistic Regression in R for Public Health","Imperial College London","Advanced",10.3,4.75,"https://www.coursera.org/learn/logistic-regression-r-public-health","Welcome to Logistic Regression in R for Public Health! \\n\\nWhy logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. \\n\\nBy the end of this course, you will be able to: \\nExplain when it is valid to use logistic regression \\nDefine odds and odds ratios \\nRun simple and multiple logistic regression analysis in R and interpret the output \\nEvaluate the model assumptions for multiple logistic regression in R \\nDescribe and compare some common ways to choose a multiple regression model \\n\\nThis course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. \\n\\nWe hope you enjoy the course!","learning; medical statistics; logistic regression; r programming; statistical analysis; interpretation; diabetes; linearity; supply chain; computer programming","Statistical Analysis with R for Public Health",3.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.3,12.3]","[NULL]","English","life-sciences","public-health","HIWhL1UPEeiYKRJKvk-prg"]
["Data Analysis","Statistical Analysis","Foundations of strategic business analytics","ESSEC Business School","Advanced",14.5,4.37,"https://www.coursera.org/learn/strategic-business-analytics","Who is this course for?  \\nThis course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. \\n\\nYou will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering.\\nHowever, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.\\n\\nWith this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business.\\n\\nWe’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues.\\nBy doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. \\n\\nBy the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way.\\n\\nPrerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering)\\n\\nWe give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design.","business analytics; supply chain; management consulting; project management; presentation; forecasting; r programming; analytics; marketing; business","Strategic Business Analytics",1.0,"https://www.coursera.org/specializations/strategic-analytics","This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing.","[10.1,17.9]","[NULL]","English","business","business-essentials","bH3mBTeLEeWXuQopUhAqaw"]
["Data Management","Best Courses","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Data Management","Best Courses","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Data Management","Best Courses","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Data Management","Best Courses","Data Analysis with Python","IBM","Beginner",47.3,4.62,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","regression analysis; modeling; analysis; data wrangling; data segment; computer programming; data analysis; linearity; data uri scheme; python programming","IBM Data Science",6.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[5.6,87.6]","Vietnamese; Turkish; Arabic; Korean","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["Data Management","Best Courses","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Data Management","Best Courses","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java programming; algorithms; data segment; list & label; computer programming; java (software platform); data structure; hashing; linked list; data uri scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.1,42.4]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["Data Management","Best Courses","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Data Management","Best Courses","Design and Interpretation of Clinical Trials","Johns Hopkins University","Intermediate",11.0,4.72,"https://www.coursera.org/learn/clinical-trials","Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.\\nThe course will explain the basic principles for design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. We will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, we will explain how clinical trials are analyzed and interpreted. Finally, we will review the essential ethical consideration involved in conducting experiments on people.","randomization; interpretation; Clinical Trial Design; clinical trial; clinical trials; clinical research; Trial Design; analysis; integration testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,12.7]","[NULL]","English","life-sciences","research","SzQW47gfEeW2iwpbOuagWQ"]
["Data Management","Best Courses","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Data Management","Best Courses","Data Management for Clinical Research","Vanderbilt University","Beginner",25.4,4.72,"https://www.coursera.org/learn/clinical-data-management","This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.\\n\\nUnderstanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. \\n\\nThis course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.","clinical research; data management; clinical data management; Survey Design; data uri scheme; management; data segment; data collection; redcap","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.3,29.1]","[NULL]","English","life-sciences","research","-nkoihN6EeWCWhKuhISYpw"]
["Data Management","Apache","Building Batch Data Pipelines on GCP","Google Cloud","Advanced",14.7,4.48,"https://www.coursera.org/learn/batch-data-pipelines-gcp","Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.","combine; apache beam; dataflow; google; data fusion; google cloud dataproc; beam robotics; data clustering algorithms; data segment; cloud computing","Data Engineering with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[8.5,17.7]","[NULL]","English","information-technology","cloud-computing","oxwGHxp1EeqQQxIxeQaLNQ"]
["Data Management","Apache","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Data Management","Apache","Big Data Emerging Technologies","Yonsei University","Advanced",14.0,4.69,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","instagram; big data; internet of things; autonomous cars; ibm scalable powerparallel; Information Mapping; storm (event processor); data segment; apache hadoop; emerging technologies","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.7,19.1]","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["Data Management","Apache","Big Data Integration and Processing","University of California San Diego","Beginner",22.9,4.35,"https://www.coursera.org/learn/big-data-integration-processing","At the end of the course, you will be able to:\\n\\n*Retrieve data from example database and big data management systems \\n*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications\\n*Identify when a big data problem needs data integration\\n*Execute simple big data integration and processing on Hadoop and Spark platforms\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","sql; analysis; big data; data uri scheme; apache spark; mongodb; data integration; data analysis; postgresql; splunk","Big Data",3.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[11.7,35]","Korean","English","data-science","data-analysis","uWrCG9mpEeWkdgqomU4otw"]
["Data Management","Apache","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Data Management","Apache","Feature Engineering","Google Cloud","Intermediate",24.6,4.4,"https://www.coursera.org/learn/feature-engineering","Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how you can preprocess and transform them for optimal use in your machine learning models.\\n\\nIn this course you will get hands-on practice choosing features and preprocessing them inside of Google Cloud Platform with interactive labs. Our instructors will walk you through the code solutions which will also be made public for your reference as you work on your own future data science projects.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; dataflow; beam robotics; feature engineering; apache beam; cloud platforms; cloud computing; c-ross; google cloud platform; tensorflow","Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[8,35]","Japanese; French; Portuguese; German; Spanish","English","data-science","machine-learning","cS_C5UgCEeimMA5aS6rd2g"]
["Data Management","Apache","Big Data Modeling and Management Systems","University of California San Diego","Beginner",15.0,4.35,"https://www.coursera.org/learn/big-data-management","Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?  In this course, you will experience various data genres and management tools appropriate for each.  You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.  Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.  Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.\\n\\nAt the end of this course, you will be able to:\\n * Recognize different data elements in your own work and in everyday life problems\\n * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design\\n * Identify the frequent data operations required for various types of data\\n * Select a data model to suit the characteristics of your data \\n * Apply techniques to handle streaming data\\n * Differentiate between a traditional Database Management System and a Big Data Management System\\n * Appreciate why there are so many data management systems\\n * Design a big data information system for an online game company\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","data segment; modeling; data model; management; data uri scheme; database; data management; data modeling; big data; management systems","Big Data",2.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.9,17.9]","Korean","English","data-science","data-analysis","cvqIZNmpEeW6jg7jFY56EQ"]
["Data Management","Apache","Big Data Analysis with Scala and Spark","École Polytechnique Fédérale de Lausanne","Beginner",14.5,4.64,"https://www.coursera.org/learn/scala-spark-big-data","Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n- read data from persistent storage and load it into Apache Spark,\\n- manipulate data with Spark and Scala,\\n- express algorithms for data analysis in a functional style, \\n- recognize how to avoid shuffles and recomputation in Spark,\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.","scala programming; data uri scheme; distributed computing; mathematical optimization; functional programming; big data; sql; apache spark; data segment; computer programming","Functional Programming in Scala",4.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[9.9,17.6]","[NULL]","English","computer-science","algorithms","e8VseYIYEeWxQQoymFg8zQ"]
["Data Management","Big Data","Big Data, Artificial Intelligence, and Ethics","University of California, Davis","Beginner",16.4,4.75,"https://www.coursera.org/learn/big-data-ai-ethics","This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.","agent-based model; reproduction; quantum artificial intelligence lab; paul fitts; the cancer genome atlas; ethics of artificial intelligence; computational social science; organic memory; ethics; sexual dimorphism in dinosaurs","Computational Social Science",2.0,"https://www.coursera.org/specializations/computational-social-science-ucdavis","For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\\n\\nAn increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.\\n\\nThis specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.","[10.7,21.7]","[NULL]","English","data-science","data-analysis","W0t1pk86Eem5IQ5Koqu4WA"]
["Data Management","Big Data","Big Data Emerging Technologies","Yonsei University","Advanced",14.0,4.69,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","instagram; big data; internet of things; autonomous cars; ibm scalable powerparallel; Information Mapping; storm (event processor); data segment; apache hadoop; emerging technologies","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.7,19.1]","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["Data Management","Big Data","Introduction to Big Data","University of California San Diego","Beginner",17.3,4.54,"https://www.coursera.org/learn/big-data-introduction","Interested in increasing your knowledge of the Big Data landscape?  This course is for those new to data science and interested in understanding why the Big Data Era has come to be.  It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.  It is for those who want to start thinking about how Big Data might be useful in their business or career.  It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!\\n\\nAt the end of this course, you will be able to:\\n\\n* Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. \\n\\n* Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.\\n\\n* Get value out of Big Data by using a 5-step process to structure your analysis. \\n\\n* Identify what are and what are not big data problems and be able to recast big data problems as data science questions.\\n\\n* Provide an explanation of the architectural components and programming models used for scalable big data analysis.\\n\\n* Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.\\n\\n* Install and run a program using Hadoop!\\n\\nThis course is for those new to data science.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  \\n\\nHardware Requirements:\\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.  \\n\\nSoftware Requirements:\\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","apache hadoop; integration testing; big data; data uri scheme; data analysis; analytics; cloudera; big data analytics; data segment; mapreduce","Big Data",1.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[10,26.3]","Persian; Arabic; Korean; Hindi","English","data-science","data-analysis","6nKPTBHoEea7axIlQHzY1Q"]
["Data Management","Big Data","Big Data Science with the BD2K-LINCS Data Coordination and Integration Center","Icahn School of Medicine at Mount Sinai","Intermediate",14.2,4.76,"https://www.coursera.org/learn/bd2k-lincs","The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more. These perturbations are applied to various types of human cells including induced pluripotent stem cells from patients, differentiated into various lineages such as neurons or cardiomyocytes. Then, to better understand the molecular networks that are affected by these perturbations, changes in level of many different variables are measured including: mRNAs, proteins, and metabolites, as well as cellular phenotypic changes such as changes in cell morphology. The BD2K-LINCS Data Coordination and Integration Center (DCIC) is commissioned to organize, analyze, visualize and integrate this data with other publicly available relevant resources. In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.","genomics; geos (16-bit operating system); communication sciences; rna-seq; Neuropathy; reporting guidelines; geo uri scheme; gene knockdown; mcf-7; quantile normalization","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,18.1]","[NULL]","English","life-sciences","basic-science","zfMry-S0EeW_yhIcE2bZaw"]
["Data Management","Big Data","Security and Privacy for Big Data - Part 1","EIT Digital","Intermediate",3.6,4.65,"https://www.coursera.org/learn/security-privacy-big-data","This course sensitizes regarding security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all security related issues are under control. You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. \\n\\nIf you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and security, this course will suit you as well.","data security; big data; information privacy; measurement; privacy; data protection; security; learning; integration testing; administrative controls","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.5,4.7]","[NULL]","English","information-technology","security","ErovshnZEemcTxJcM_MHdg"]
["Data Management","Big Data","Big Data Modeling and Management Systems","University of California San Diego","Beginner",15.0,4.35,"https://www.coursera.org/learn/big-data-management","Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?  In this course, you will experience various data genres and management tools appropriate for each.  You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.  Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.  Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.\\n\\nAt the end of this course, you will be able to:\\n * Recognize different data elements in your own work and in everyday life problems\\n * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design\\n * Identify the frequent data operations required for various types of data\\n * Select a data model to suit the characteristics of your data \\n * Apply techniques to handle streaming data\\n * Differentiate between a traditional Database Management System and a Big Data Management System\\n * Appreciate why there are so many data management systems\\n * Design a big data information system for an online game company\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","data segment; modeling; data model; management; data uri scheme; database; data management; data modeling; big data; management systems","Big Data",2.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.9,17.9]","Korean","English","data-science","data-analysis","cvqIZNmpEeW6jg7jFY56EQ"]
["Data Management","Big Data","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Data Management","Big Data","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Data Management","Big Data","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Data Management","Business Intelligence","Business Intelligence Concepts, Tools, and Applications","University of Colorado System","Intermediate",16.2,4.31,"https://www.coursera.org/learn/business-intelligence-tools","This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence.  In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards. \\n\\nThe course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass  decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.","pitfall!; business analytics; trigonometric integral; business intelligence; online analytical processing; analytics; MicroStrategy; measurement; openfabrics alliance; data visualization","Data Warehousing for Business Intelligence",4.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[6.9,23.1]","Korean; Vietnamese; Chinese","English","data-science","data-analysis","7gLccRnoEeWjrA6seF25aw"]
["Data Management","Business Intelligence","Business intelligence and data analytics: Generate insights","Macquarie University","Advanced",13.2,4.58,"https://www.coursera.org/learn/business-intelligence-data-analytics","‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.","software; data analysis; tableau software; software visualization; business intelligence; management accounting; software bus; yottabyte; cmos; business analytics","Analysing: Numeric and digital literacies",3.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[6.2,18.6]","[NULL]","English","business","business-essentials","koCVNqWkEeiLXw4QLApQMg"]
["Data Management","Business Intelligence","Open Source tools for Data Science","IBM","Beginner",7.8,4.5,"https://www.coursera.org/learn/open-source-tools-for-data-science","What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","rstudio; open source; watson (computer); apache spark; sources; python programming; computer programming; ipython; Data Science; data segment","Introduction to Data Science",2.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[3.9,11.2]","Russian","English","data-science","data-analysis","oCBU5_VYEeeBQA7SG0nILA"]
["Data Management","Clinical Data Management","Data Management for Clinical Research","Vanderbilt University","Beginner",25.4,4.72,"https://www.coursera.org/learn/clinical-data-management","This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.\\n\\nUnderstanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. \\n\\nThis course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.","clinical research; data management; clinical data management; Survey Design; data uri scheme; management; data segment; data collection; redcap","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.3,29.1]","[NULL]","English","life-sciences","research","-nkoihN6EeWCWhKuhISYpw"]
["Data Management","Clinical Data Management","Design and Interpretation of Clinical Trials","Johns Hopkins University","Intermediate",11.0,4.72,"https://www.coursera.org/learn/clinical-trials","Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.\\nThe course will explain the basic principles for design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. We will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, we will explain how clinical trials are analyzed and interpreted. Finally, we will review the essential ethical consideration involved in conducting experiments on people.","randomization; interpretation; Clinical Trial Design; clinical trial; clinical trials; clinical research; Trial Design; analysis; integration testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,12.7]","[NULL]","English","life-sciences","research","SzQW47gfEeW2iwpbOuagWQ"]
["Data Management","Data Model","Big Data Modeling and Management Systems","University of California San Diego","Beginner",15.0,4.35,"https://www.coursera.org/learn/big-data-management","Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions?  In this course, you will experience various data genres and management tools appropriate for each.  You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools.  Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.  Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.\\n\\nAt the end of this course, you will be able to:\\n * Recognize different data elements in your own work and in everyday life problems\\n * Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design\\n * Identify the frequent data operations required for various types of data\\n * Select a data model to suit the characteristics of your data \\n * Apply techniques to handle streaming data\\n * Differentiate between a traditional Database Management System and a Big Data Management System\\n * Appreciate why there are so many data management systems\\n * Design a big data information system for an online game company\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","data segment; modeling; data model; management; data uri scheme; database; data management; data modeling; big data; management systems","Big Data",2.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.9,17.9]","Korean","English","data-science","data-analysis","cvqIZNmpEeW6jg7jFY56EQ"]
["Data Management","Data Model","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.4,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","data model; microsoft excel macro; data validation; lookup table; microsoft excel; solver; data uri scheme; data segment; macro (computer science); memoization","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","[15.7,30.4]","Arabic; Vietnamese","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["Data Management","Data Model","Data Science Methodology","IBM","Beginner",8.6,4.55,"https://www.coursera.org/learn/data-science-methodology","Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.\\n\\nThis course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.\\n\\nAccordingly, in this course, you will learn:\\n    - The major steps involved in tackling a data science problem.\\n    - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.\\n    - How data scientists think!\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","data model; modeling; data segment; data collection; Data Science; data modeling; analytics; methodology; evaluation; data uri scheme","Introduction to Data Science",3.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[3.7,12.2]","[NULL]","English","data-science","data-analysis","OFt7o_8IEee1YxLCJ0cSDA"]
["Data Management","Data Model","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Data Management","Data Model","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Intermediate",28.0,4.42,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","relational database; database; design pattern; data uri scheme; data integration; extract, transform, load; pentaho; data warehousing; talend; data cube","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[10.8,43.7]","[NULL]","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["Data Management","Data Model","Introduction to Data Analytics for Business","University of Colorado Boulder","Beginner",17.8,4.62,"https://www.coursera.org/learn/data-analytics-business","This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.\\n\\nWhat you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.\\n\\nThis course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.","business model; database; data segment; data analysis; modeling; analytics; analysis; sql; data quality; data uri scheme","Advanced Business Analytics",1.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[12.1,20.8]","Korean","English","data-science","data-analysis","lJgyVBhjEeammQ6NfVLBSw"]
["Data Management","Data Model","Data Analysis with Python","IBM","Beginner",47.3,4.62,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","regression analysis; modeling; analysis; data wrangling; data segment; computer programming; data analysis; linearity; data uri scheme; python programming","IBM Data Science",6.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[5.6,87.6]","Vietnamese; Turkish; Arabic; Korean","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["Data Management","Data Model","Fitting Statistical Models to Data with Python","University of Michigan","Beginner",6.1,4.47,"https://www.coursera.org/learn/fitting-statistical-models-data-python","In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.\\n\\nThis course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python).\\n\\nDuring these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.","multilevel model; linearity; statistics; marginal model; statistical models; integration testing; clinical study design; python programming; dependent and independent variables; bayesian","Statistics with Python",3.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[0.6,10.3]","Korean","English","data-science","probability-and-statistics","ZMF2csDUEeiy_Ao4qYTCkA"]
["Data Management","Data Model","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Data Management","Data Structure","Data Structures and Design Patterns for Game Developers","University of Colorado System","Advanced",15.8,4.56,"https://www.coursera.org/learn/data-structures-design-patterns","This course is the fourth course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.\\n\\nThis course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed in the \"Who this class is for\" section below. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns.\\n\\nData structures and design patterns are both general programming and software architecture topics that span all software, not just games. Although we'll discuss these ideas in the game domain, they also apply if you're writing a web app in ASP.NET, building a tool using WinForms, or any other software you decide to build. \\n\\nModule 1: Explore a Dynamic Array data structure and learn the basics of algorithm analysis\\nModule 2: Learn about and use the common Linked List and Graph data structures\\nModule 3: Learn about and use several additional data structures: Stacks, Queues, and Trees\\nModule 4: Learn why design patterns are so useful and discover a number of design patterns useful in game development\\nModule 5: Complete final peer review\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThis course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","linked list; stack (abstract data type); c sharp (programming language); game programming; dynamic array; algorithms; object pool pattern; design pattern; asp.net; video game development","C# Programming for Unity Game Development",4.0,"https://www.coursera.org/specializations/programming-unity-game-development","This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you'll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS.\\n\\n“Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere.\\n\\nThe courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates","[5.8,23.1]","[NULL]","English","computer-science","software-development","AXxayz5CEeeQDg6xSmfOXg"]
["Data Management","Data Structure","Data Structures","University of California San Diego","Intermediate",26.5,4.63,"https://www.coursera.org/learn/data-structures","A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.\\n\\nA few examples of questions that we are going to cover in this class are the following:\\n1. What is a good strategy of resizing a dynamic array?\\n2. How priority queues are implemented in C++, Java, and Python?\\n3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?\\n4. What are good strategies to keep a binary tree balanced? \\n\\nYou will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!","splay tree; data uri scheme; priority queue; binary search tree; data segment; search tree; binary search algorithm; hash table; hashing; data structure","Data Structures and Algorithms",2.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[15.7,37.5]","[NULL]","English","computer-science","algorithms","yOZEQ3lwEeWb-BLhFdaGww"]
["Data Management","Data Structure","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java programming; algorithms; data segment; list & label; computer programming; java (software platform); data structure; hashing; linked list; data uri scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.1,42.4]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["Data Management","Data Structure","Ordered Data Structures","University of Illinois at Urbana-Champaign","Intermediate",22.2,4.74,"https://www.coursera.org/learn/cs-fundamentals-2","In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.","heap (data structure); binary search algorithm; search tree; avl tree; b-tree; binary search tree; binary tree; data structure; linearity; arrays","Accelerated Computer Science Fundamentals",2.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[11.5,36.4]","[NULL]","English","computer-science","software-development","MVZ09jVhEemVlQ65Erh-fA"]
["Data Management","Data Structure","Unordered Data Structures","University of Illinois at Urbana-Champaign","Advanced",17.2,4.77,"https://www.coursera.org/learn/cs-fundamentals-3","The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.","shortest path problem; spanning tree; graphs; data structure; hashing; c++; 2.5d; algorithms; tree traversal; path (variable)","Accelerated Computer Science Fundamentals",3.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[10.1,23.1]","[NULL]","English","computer-science","software-development","sI_-QEBiEemtDRLx7Ne8jg"]
["Data Management","Data Structure","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Data Management","Data Structure","Algorithms, Part I","Princeton University","Intermediate",32.3,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","sorting; computer programming; data uri scheme; data structure; search tree; priority queue; sorting algorithm; algorithms; java (software platform); java programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.1,38.7]","Russian; Korean","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["Data Management","Data Structure","Principles of Computing (Part 2)","Rice University","Intermediate",19.1,4.82,"https://www.coursera.org/learn/principles-of-computing-2","This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems.  To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 2 of this course,  the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures.  Upon completing this course, you will have a solid foundation in the principles of computation and programming.  This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms.  Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.","codea; μ-recursive function; recursion; python programming; computer programming; tree traversal; context menu; algorithms; data structure; memoization","Fundamentals of Computing",4.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[12.4,23.1]","Romanian","English","computer-science","software-development","oBD-Aq5rEeWDaxLlMKJUpw"]
["Data Management","Data Structure","Python Data Structures","University of Michigan","Beginner",17.2,4.85,"https://www.coursera.org/learn/python-data","This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.","python programming; programming language; computer programming; data structure; tuple; omega language; syntax; language; data uri scheme; list & label","Python for Everybody",2.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[6.2,21]","Arabic; Korean","English","computer-science","software-development","P--h6zpNEeWYbg7p2_3OHQ"]
["Data Management","Data Warehousing","Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","Beginner",11.2,4.66,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.","sql; data lake; cluster analysis; data clustering algorithms; algorithms; bigquery; google; cloud storage; data warehousing; cloud computing","Data Engineering, Big Data, and Machine Learning on GCP",2.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.9,13.7]","[NULL]","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["Data Management","Data Warehousing","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Intermediate",28.0,4.42,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","relational database; database; design pattern; data uri scheme; data integration; extract, transform, load; pentaho; data warehousing; talend; data cube","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[10.8,43.7]","[NULL]","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["Data Management","Data Warehousing","Relational Database Support for Data Warehouses","University of Colorado System","Advanced",23.7,4.6,"https://www.coursera.org/learn/dwrelational","Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.","modulo operation; relational database; business intelligence; sql; data warehousing; query rewriting; euler's totient function; data uri scheme; materialized view; database","Data Warehousing for Business Intelligence",3.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[8.6,35]","[NULL]","English","data-science","data-analysis","xRA5cxnoEeWg_RJGAuFGjw"]
["Data Management","Data Warehousing","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Data Management","Data Warehousing","Database Management Essentials","University of Colorado System","Intermediate",28.0,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database; sql; modeling; management; data model; database normalization; data uri scheme; database design; data modeling; entity relationship model","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.4,37.4]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["Data Management","Data Warehousing","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Data Management","Data Warehousing","Introduction to Big Data","University of California San Diego","Beginner",17.3,4.54,"https://www.coursera.org/learn/big-data-introduction","Interested in increasing your knowledge of the Big Data landscape?  This course is for those new to data science and interested in understanding why the Big Data Era has come to be.  It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.  It is for those who want to start thinking about how Big Data might be useful in their business or career.  It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!\\n\\nAt the end of this course, you will be able to:\\n\\n* Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. \\n\\n* Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.\\n\\n* Get value out of Big Data by using a 5-step process to structure your analysis. \\n\\n* Identify what are and what are not big data problems and be able to recast big data problems as data science questions.\\n\\n* Provide an explanation of the architectural components and programming models used for scalable big data analysis.\\n\\n* Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.\\n\\n* Install and run a program using Hadoop!\\n\\nThis course is for those new to data science.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  \\n\\nHardware Requirements:\\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.  \\n\\nSoftware Requirements:\\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","apache hadoop; integration testing; big data; data uri scheme; data analysis; analytics; cloudera; big data analytics; data segment; mapreduce","Big Data",1.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[10,26.3]","Persian; Arabic; Korean; Hindi","English","data-science","data-analysis","6nKPTBHoEea7axIlQHzY1Q"]
["Data Management","Data Warehousing","Business Intelligence Concepts, Tools, and Applications","University of Colorado System","Intermediate",16.2,4.31,"https://www.coursera.org/learn/business-intelligence-tools","This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence.  In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards. \\n\\nThe course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass  decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.","pitfall!; business analytics; trigonometric integral; business intelligence; online analytical processing; analytics; MicroStrategy; measurement; openfabrics alliance; data visualization","Data Warehousing for Business Intelligence",4.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[6.9,23.1]","Korean; Vietnamese; Chinese","English","data-science","data-analysis","7gLccRnoEeWjrA6seF25aw"]
["Data Management","Data Warehousing","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","business analytics; analysis; data uri scheme; data analysis; business analysis; business process; management; risk; process; analytics","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[9.1,15.6]","Arabic; Korean; Chinese","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["Data Management","Database Application","Building Database Applications in PHP","University of Michigan","Advanced",19.1,4.87,"https://www.coursera.org/learn/database-applications-php","In this course, we'll look at the object oriented patterns available in PHP. You'll learn how to connect to a MySQL using the Portable Data Objects (PDO) library and issue SQL commands in the the PHP language. We'll also look at how PHP uses cookies and manages session data. You'll learn how PHP avoids double posting data, how flash messages are implemented, and how to use a session to log in users in web applications. We'll then build the first 'complete' application that has multiple screens to Create, Read, Update and Delete (CRUD) our data. This brings all the previous concepts together and will form the basis for all later web applications.","sql; object-oriented programming; web application; php; create, read, update and delete; authentication; database; database application; login; mysql","Web Applications for Everybody",3.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[11.8,25.8]","Korean","English","computer-science","mobile-and-web-development","y_v-z1wuEeeu6w6-hx3mdg"]
["Data Management","Database Application","Python Programming: A Concise Introduction","Wesleyan University","Intermediate",13.2,4.61,"https://www.coursera.org/learn/python-programming-introduction","The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs. The approach will be to present an example followed by a small exercise where the learner tries something similar to solidify a concept.  At the end of each module there will be an exercise where the student is required to write simple programs and submit them for grading.  It is intended for students with little or no programming background, although students with such a background should be able to move forward at their preferred pace.\\n\\nThe course is four modules long and is designed to be completed in four weeks.","python syntax and semantics; python programming; language; ipython; programming language; python libraries; computer programming; syntax; semantics; omega language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.8,16.5]","[NULL]","English","computer-science","software-development","bfE3GBnoEeWg_RJGAuFGjw"]
["Data Management","Database Application","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Data Management","Extract, Transform, Load","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Intermediate",28.0,4.42,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","relational database; database; design pattern; data uri scheme; data integration; extract, transform, load; pentaho; data warehousing; talend; data cube","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[10.8,43.7]","[NULL]","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["Data Management","Extract, Transform, Load","Building Batch Data Pipelines on GCP","Google Cloud","Advanced",14.7,4.48,"https://www.coursera.org/learn/batch-data-pipelines-gcp","Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.","combine; apache beam; dataflow; google; data fusion; google cloud dataproc; beam robotics; data clustering algorithms; data segment; cloud computing","Data Engineering with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[8.5,17.7]","[NULL]","English","information-technology","cloud-computing","oxwGHxp1EeqQQxIxeQaLNQ"]
["Data Management","Extract, Transform, Load","Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","Beginner",11.2,4.66,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.","sql; data lake; cluster analysis; data clustering algorithms; algorithms; bigquery; google; cloud storage; data warehousing; cloud computing","Data Engineering, Big Data, and Machine Learning on GCP",2.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[6.9,13.7]","[NULL]","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["Data Management","Extract, Transform, Load","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",29.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","big data; bigquery; cloud computing; learning; cloud platforms; dataflow; google cloud dataproc; machine learning; google cloud platform; google","Data Engineering, Big Data, and Machine Learning on GCP",1.0,"https://www.coursera.org/specializations/gcp-data-machine-learning","This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data.\\n\\nThis course teaches the following skills:\\n\\n• Design and build data pipelines on Google Cloud Platform\\n\\n• Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.\\n\\n• Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow\\n\\n• Manage your data Pipelines with Data Fusion and Cloud Composer.\\n\\n• Derive business insights from extremely large datasets using Google BigQuery\\n\\n• Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML.\\n\\n• Enable instant insights from streaming data\\n\\nThis class is intended for developers who are responsible for:\\n\\n• Extracting, Loading, Transforming, cleaning, and validating data\\n\\n• Designing pipelines and architectures for data processing\\n\\n• Integrating analytics and machine learning capabilities into data pipelines\\n\\n• Querying datasets, visualizing query results and creating reports\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.3,52]","[NULL]","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Data Management","Extract, Transform, Load","Introduction to Data Science in Python","University of Michigan","Intermediate",17.5,4.33,"https://www.coursera.org/learn/python-data-analysis","This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. \\n\\nThis course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.","data uri scheme; pandas; data analysis; Data Science; python programming; data segment; data cleansing; numpy; computer programming; analysis","Applied Data Science with Python",1.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[10.6,22.2]","Vietnamese; Chinese; Hebrew; Korean; Portuguese","English","data-science","data-analysis","RZ1S0B0MEeacvQ6cODzg5Q"]
["Data Management","Extract, Transform, Load","Getting and Cleaning Data","Johns Hopkins University","Beginner",14.1,4.5,"https://www.coursera.org/learn/data-cleaning","Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.","regular expression; data uri scheme; data segment; r programming; data cleansing; language; omega language; programming language; cleaning; computer programming","Data Science",3.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.4,17.4]","Vietnamese; Russian; Korean; French; Chinese","English","data-science","data-analysis","HkJsxW0yEeWEewoyD2Bc5Q"]
["Data Management","Extract, Transform, Load","Relational Database Support for Data Warehouses","University of Colorado System","Advanced",23.7,4.6,"https://www.coursera.org/learn/dwrelational","Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.","modulo operation; relational database; business intelligence; sql; data warehousing; query rewriting; euler's totient function; data uri scheme; materialized view; database","Data Warehousing for Business Intelligence",3.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[8.6,35]","[NULL]","English","data-science","data-analysis","xRA5cxnoEeWg_RJGAuFGjw"]
["Data Management","SQL","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Data Management","SQL","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Data Management","SQL","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Data Management","SQL","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Data Management","SQL","Introduction to Data Analytics for Business","University of Colorado Boulder","Beginner",17.8,4.62,"https://www.coursera.org/learn/data-analytics-business","This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.\\n\\nWhat you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.\\n\\nThis course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.","business model; database; data segment; data analysis; modeling; analytics; analysis; sql; data quality; data uri scheme","Advanced Business Analytics",1.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[12.1,20.8]","Korean","English","data-science","data-analysis","lJgyVBhjEeammQ6NfVLBSw"]
["Data Management","SQL","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Data Management","SQL","Introduction to Clinical Data Science","University of Colorado System","Advanced",11.0,4.63,"https://www.coursera.org/learn/introduction-clinical-data-science","This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. \\n\\nAt the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.","analysis; computer programming; data analysis; sql; health informatics; Clinical Data Analysis; data segment; r programming; bigquery; rstudio","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13.1]","[NULL]","English","data-science","data-analysis","isEnBWBZEei8GhK6J8TCMg"]
["Data Management","SQL","Data Manipulation at Scale: Systems and Algorithms","University of Washington","Advanced",20.1,4.28,"https://www.coursera.org/learn/data-manipulation","Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it.  Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively.  The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.\\n\\nIn this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon.   Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered.\\n\\nYou will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project.  At the end of this course, you will be able to:\\n\\nLearning Goals: \\n1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields.\\n2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models.\\n3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics\\n4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends.\\n5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark.  You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages.\\nwrite programs in Spark\\n6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams","nosql; sql; algebra; python programming; data uri scheme; sigma-algebra; database; relational algebra; computer programming; mapreduce","Data Science at Scale",1.0,"https://www.coursera.org/specializations/data-science","Learn scalable data management, evaluate big data technologies, and design effective visualizations.\\n\\nThis Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project.","[13.7,24.3]","[NULL]","English","data-science","data-analysis","zfksZy_FEeWWqBIFfWmDPQ"]
["Data Management","SQL","Introduction to Structured Query Language (SQL)","University of Michigan","Intermediate",9.9,4.75,"https://www.coursera.org/learn/intro-sql","In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.","many-to-many; php; relational database; database; mysql; sql; query language; SQL Server; database design; phpmyadmin","Web Applications for Everybody",2.0,"https://www.coursera.org/specializations/web-applications","This Specialization is an introduction to building web applications for anybody who already has a basic understanding of responsive web design with JavaScript, HTML, and CSS. Web Applications for Everybody is your introduction to web application development. You will develop web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON.\\n\\nOver the course of this Specialization, you will create several web apps to add to your developer portfolio. This Specialization (and its prerequisites) will prepare you, even if you have little to no experience in programming or technology, for entry level web developer jobs in PHP.\\n\\nYou’ll demonstrate basic concepts, like database design, while working on assignments that require the development of increasing challenging web apps. From installing a text editor to understanding how a web browser interacts with a web server to handling events with JQuery, you’ll gain a complete introductory overview of web application development.","[6.4,11.7]","Serbian; Korean","English","computer-science","mobile-and-web-development","juQyOVwuEee8pAru5GvQag"]
["Data Management","SQL","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Data Visualization","Best Courses","Data Visualization with Python","IBM","Beginner",9.9,4.47,"https://www.coursera.org/learn/python-for-data-visualization","A picture is worth a thousand words. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.\\n\\nOne of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.\\n\\nThe main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","choropleth map; python programming; data segment; data virtualization; matplotlib; map; pandas; chart; computer programming; data visualization","IBM Data Science",7.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[4.4,14]","Vietnamese","English","data-science","data-analysis","ORAIlTLtEeizIBKbQHnlqg"]
["Data Visualization","Best Courses","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Data Visualization","Best Courses","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.9,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","data uri scheme; data segment; presentation; data visualization; analytics; data analysis; analysis; data virtualization; software; tableau software","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.8]","[NULL]","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Data Visualization","Best Courses","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Visualization","Best Courses","Fundamentals of Visualization with Tableau","University of California, Davis","Beginner",9.7,4.41,"https://www.coursera.org/learn/data-visualization-tableau","In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.  No prior technical or analytical background is required.  The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context,  setting the stage for you to advance to the next course in the Specialization.","data visualization; tableau software; graphics; data virtualization; visualization (computer graphics); storyboarding; analysis; software; data segment; data uri scheme","Data Visualization with Tableau",1.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[6.5,11.5]","[NULL]","English","data-science","data-analysis","VuRXs3EiEeWrAxJQXw-8PQ"]
["Data Visualization","Best Courses","GIS Data Formats, Design and Quality","University of California, Davis","Beginner",21.2,4.84,"https://www.coursera.org/learn/gis-data","In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: \\n\\nWeek 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. \\n\\nWeek 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.\\n\\nWeek 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.\\n\\nWeek 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.\\n\\nTake GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","geographic information system; arcgis; data management; spatial analysis; management; spatial data analysis; statistics; data analysis; analysis; digitizing","Geographic Information Systems  (GIS)",2.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.2,31.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","qqP6hnElEeWi0g6YoSAL-w"]
["Data Visualization","Best Courses","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.7,4.61,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","technical analysis; adobe illustrator; plan; infographics; illustration; graphic design; communication design; graphics; autodesk 3ds max; coreldraw","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,18.8]","[NULL]","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Data Visualization","Best Courses","Creating Dashboards and Storytelling with Tableau","University of California, Davis","Beginner",18.8,4.58,"https://www.coursera.org/learn/dataviz-dashboards","Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.\\n\\nYou will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions.  For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.","data visualization; rational unified process; dashboard (business); method of analytic tableaux; storytelling; tableau software; software; best practice; measurement; storyboarding","Data Visualization with Tableau",4.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[12.6,24]","[NULL]","English","data-science","data-analysis","1Ik-_RC4EeaRgQ4evS8KlQ"]
["Data Visualization","Best Courses","Imagery, Automation, and Applications","University of California, Davis","Intermediate",20.7,4.8,"https://www.coursera.org/learn/gis-applications","Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). \\nUsing the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules:\\n\\nWeek 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification.\\n\\nWeek 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro.\\n\\nWeek 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis.\\n\\nWeek 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own.\\n\\nTake Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, \"Fundamentals of GIS,\" \"GIS Data Formats, Design, and Quality\", and \"Geospatial and Environmental Analysis,\" respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.","QGIS; satellite; remote sensing; Model Building; Imagery Analysis; statistical classification; modeling; geographic information system; arcgis; analysis","Geographic Information Systems  (GIS)",4.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,28.4]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","-YdYt3Q6EeWxvQr3acyajw"]
["Data Visualization","Best Courses","Information Visualization: Programming with D3.js","New York University Tandon School of Engineering","Advanced",24.3,4.54,"https://www.coursera.org/learn/information-visualization-programming-d3js","In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique. \\n\\nIn this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to:\\n\\n- Create bar and line charts\\n- Create choropleth and symbol maps\\n- Create node-link diagrams and tree maps\\n- Implement zooming and brushing\\n- Link two or more views through interaction\\n\\nThe course mixes theoretical and practical lectures. We will show you step by step how to use the library to build actual visualizations and what theoretical concepts lie behind them. Throughout the course you will learn skills that will lead you to building a whole application by the end of the lectures (a fully working visualization system to visualize airlines routes).\\n\\nThis course is the third one of the “Specialization in Information Visualization\". The course expects you to have some basic knowledge of programming as well as some basic visualization skills.","posting style; flow map; d3.js; data visualization; graphviz; grid view; information visualization; javascript; tableau software; scalable vector graphics","Information Visualization",3.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[15.4,35.6]","[NULL]","English","information-technology","data-management","HrLTFSiEEeiFdRJFkT2pzg"]
["Data Visualization","Data Visualization Software","Data Visualization with Tableau Project","University of California, Davis","Advanced",10.0,4.54,"https://www.coursera.org/learn/dataviz-project","In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and  prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of - so think big, and have confidence in your skills!","data visualization; method of analytic tableaux; visualization software; exploratory data analysis; data visualization software; tableau software; storyboarding; peering; software; last mile","Data Visualization with Tableau",5.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[6.2,12.4]","[NULL]","English","data-science","data-analysis","tI4RonQ7EeWxvQr3acyajw"]
["Data Visualization","Data Visualization Software","Creating Dashboards and Storytelling with Tableau","University of California, Davis","Beginner",18.8,4.58,"https://www.coursera.org/learn/dataviz-dashboards","Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.\\n\\nYou will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions.  For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.","data visualization; rational unified process; dashboard (business); method of analytic tableaux; storytelling; tableau software; software; best practice; measurement; storyboarding","Data Visualization with Tableau",4.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[12.6,24]","[NULL]","English","data-science","data-analysis","1Ik-_RC4EeaRgQ4evS8KlQ"]
["Data Visualization","Data Visualization Software","Visual Analytics with Tableau","University of California, Davis","Beginner",14.1,4.46,"https://www.coursera.org/learn/dataviz-visual-analytics","In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data.  You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.","method of analytic tableaux; chart; software; Switches; tableau software; visual analytics; data visualization; map; analytics; geodetic datum","Data Visualization with Tableau",3.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[7.2,21.8]","[NULL]","English","data-science","data-analysis","xJrJ5XQ3EeWLqw7zlLhRzQ"]
["Data Visualization","Data Visualization Software","Essential Design Principles for Tableau","University of California, Davis","Beginner",13.9,4.4,"https://www.coursera.org/learn/dataviz-design","In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the \"right\" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","best practice; constant (computer programming); data visualization; method of analytic tableaux; tableau software; control chart; software; exploratory data analysis; chart; principle","Data Visualization with Tableau",2.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[9.2,16.1]","[NULL]","English","data-science","data-analysis","f6s8aXQ3EeWIfhKr_WcYsQ"]
["Data Visualization","Data Visualization Software","Fundamentals of Visualization with Tableau","University of California, Davis","Beginner",9.7,4.41,"https://www.coursera.org/learn/data-visualization-tableau","In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.  No prior technical or analytical background is required.  The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context,  setting the stage for you to advance to the next course in the Specialization.","data visualization; tableau software; graphics; data virtualization; visualization (computer graphics); storyboarding; analysis; software; data segment; data uri scheme","Data Visualization with Tableau",1.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[6.5,11.5]","[NULL]","English","data-science","data-analysis","VuRXs3EiEeWrAxJQXw-8PQ"]
["Data Visualization","Data Visualization Software","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.9,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","data uri scheme; data segment; presentation; data visualization; analytics; data analysis; analysis; data virtualization; software; tableau software","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.8]","[NULL]","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Data Visualization","Data Visualization Software","Project: Visualizing Citibike Trips with Tableau","Rhyme","Beginner",3.1,4.42,"https://www.coursera.org/learn/visualizing-citibike-trips-tableau","In this 1-hour long project-based course, you will learn the basics of using Tableau Public software to visualize Citibike Trips Dataset. By the end of this project, you will have created a few visualizations and a collection of visualizations called a dashboard.\\n\\nNote: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","3D Sketching; link page; tableau software; bing maps; sketchup; free data visualization software; virtual globes; google maps (mobile application); powtoon; google maps","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[0.6,2.1]","[NULL]","English","business","business-essentials","uIemDf41EemaXBJQxkzcjA"]
["Data Visualization","Data Visualization Software","Design and Make Infographics (Project-Centered Course)","Michigan State University","Intermediate",15.7,4.61,"https://www.coursera.org/learn/infographic-design","In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life. Your finished infographic will engage your target audience and convey information clearly through effective use of design elements such as typography, color, and structure.\\n\\nWhether you’re a graphic designer, a writer or the intern in the department, you’ll learn: \\n• what an infographic is and what makes a good one\\n• how to work within your limits\\n• how to work with a team (if you have one) \\n• why infographics are effective \\n• techniques for spotting data in stories\\n• six valuable steps for planning an effective infographic \\n• how to use and make some of the building blocks of infographics: maps, charts and flow charts \\n• ways data can be visualized to clarify it and give it meaning \\n• how to effectively design a good infographic by effectively using elements like type, color and an underlying grid structure\\n• some free or cheap, online tools for making various kinds of infographics\\n\\nAs you work on your project, you’ll learn more about why infographics are effective, what makes a good infographic, and how to plan and design an infographic for maximum impact. You’ll explore various approaches to data visualization, and you’ll practice creating visualizations like maps, charts, flow charts, and simple drawings in your free version of Adobe Illustrator. Please note that if you are new to learning graphics software, making these graphics could take much longer than estimated as you learn and grow.\\n\\nWhat you’ll need to get started:\\nThis project-based course is aimed at anyone interested in understanding, designing, and using infographics - from students and hobbyists to professional graphic designers. \\n\\nWe’ll use Adobe Illustrator for some components of the project. If you don’t have access to the full version of Illustrator,you can download a free version at www.Adobe.com/Illustrator. If the free 30-day trial runs out, you can \"purchase\" it for a month for about $20.  \\n\\n*About Project-Centered Courses: Project centered courses are designed specifically to help you complete a personally meaningful real-world project, with your instructor and a community of like-minded learners providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share. When you enroll in certain courses, you’ll be asked to pay a small fee to share your work with others for peer review.","technical analysis; adobe illustrator; plan; infographics; illustration; graphic design; communication design; graphics; autodesk 3ds max; coreldraw","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,18.8]","[NULL]","English","business","business-essentials","eH8S1b38EeWxzxJER_JW2w"]
["Data Visualization","Geovisualization","GIS Data Formats, Design and Quality","University of California, Davis","Beginner",21.2,4.84,"https://www.coursera.org/learn/gis-data","In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: \\n\\nWeek 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. \\n\\nWeek 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.\\n\\nWeek 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.\\n\\nWeek 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.\\n\\nTake GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","geographic information system; arcgis; data management; spatial analysis; management; spatial data analysis; statistics; data analysis; analysis; digitizing","Geographic Information Systems  (GIS)",2.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.2,31.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","qqP6hnElEeWi0g6YoSAL-w"]
["Data Visualization","Geovisualization","GIS Data Acquisition and Map Design","University of Toronto","Advanced",20.2,4.92,"https://www.coursera.org/learn/gis-data-acquisition-map-design","In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into \"mappable\" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map.","geographic information system; cartography; Data Acquisition; QGIS; arcgis; accuracy and precision; data segment; approximation error; analysis; map","GIS, Mapping, and Spatial Analysis",2.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.1,24.6]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","d1ZGJiHHEeayOhJvUh2IzQ"]
["Data Visualization","Geovisualization","GIS, Mapping, and Spatial Analysis Capstone","University of Toronto","Beginner",16.9,4.8,"https://www.coursera.org/learn/gis-mapping-spatial-analysis-capstone","In this capstone course, you will apply everything you have learned by designing and then completing your own GIS project. You will plan out your project by writing a brief proposal that explains what you plan to do and why. You will then find data for a topic and location of your choice, and perform analysis and create maps that allow you to try out different tools and data sets. The results of your work will be assembled into an Esri story map, which is a web site with maps, images, text, and video. The goal is for you to have a finished product that you can share, and that demonstrates what you have learned.","image analysis; geographic information system; cartography; esri; QGIS; arcgis; analysis; flow map; automatic layout; satellite","GIS, Mapping, and Spatial Analysis",4.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[8.7,21.2]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","R_AkH4XyEeiJyA5Cn-zXpg"]
["Data Visualization","Geovisualization","Introduction to GIS Mapping","University of Toronto","Advanced",17.3,4.75,"https://www.coursera.org/learn/introduction-gis-mapping","Get started learning about the fascinating and useful world of geographic information systems (GIS)! In this first course of the specialization GIS, Mapping, and Spatial Analysis, you'll learn about what a GIS is, how to get started with the software yourself, how things we find in the real world can be represented on a map, how we record locations using coordinates, and how we can make a two-dimensional map from a three-dimensional Earth. In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. This course will give you a strong foundation in mapping and GIS that will give you the understanding you need to start working with GIS, and to succeed in the other courses in this specialization.\\n\\nThis course is for anyone who wants to learn about mapping and GIS. You don't have to have any previous experience - just your curiosity! The course includes both practical software training and explanations of the concepts you need to know to make informed decisions as you start your journey to becoming a GIS analyst.\\n\\nYou will need a Windows computer with ArcGIS Desktop installed.","arcmap; gis software; arcgis; cartography; satellite; remote sensing; geographic information system; map; QGIS; Mapping","GIS, Mapping, and Spatial Analysis",1.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.9,22.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","CVh4TCHHEeaLkRI7JN9TzQ"]
["Data Visualization","Geovisualization","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Visualization","Geovisualization","Spatial Analysis and Satellite Imagery in a GIS","University of Toronto","Advanced",15.9,4.89,"https://www.coursera.org/learn/spatial-analysis-satellite-imagery-in-a-gis","In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course.","esri; spatial analysis; geographic information system; cartography; remote sensing; arcgis; Geology; spatial data analysis; satellite; QGIS","GIS, Mapping, and Spatial Analysis",3.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[8.7,21.7]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","eu-2CYXyEeiKGQqaNNlbNg"]
["Data Visualization","Geovisualization","Imagery, Automation, and Applications","University of California, Davis","Intermediate",20.7,4.8,"https://www.coursera.org/learn/gis-applications","Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). \\nUsing the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules:\\n\\nWeek 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification.\\n\\nWeek 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro.\\n\\nWeek 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis.\\n\\nWeek 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own.\\n\\nTake Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, \"Fundamentals of GIS,\" \"GIS Data Formats, Design, and Quality\", and \"Geospatial and Environmental Analysis,\" respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.","QGIS; satellite; remote sensing; Model Building; Imagery Analysis; statistical classification; modeling; geographic information system; arcgis; analysis","Geographic Information Systems  (GIS)",4.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,28.4]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","-YdYt3Q6EeWxvQr3acyajw"]
["Data Visualization","Interactive Data Visualization","Information Visualization: Programming with D3.js","New York University Tandon School of Engineering","Advanced",24.3,4.54,"https://www.coursera.org/learn/information-visualization-programming-d3js","In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique. \\n\\nIn this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to:\\n\\n- Create bar and line charts\\n- Create choropleth and symbol maps\\n- Create node-link diagrams and tree maps\\n- Implement zooming and brushing\\n- Link two or more views through interaction\\n\\nThe course mixes theoretical and practical lectures. We will show you step by step how to use the library to build actual visualizations and what theoretical concepts lie behind them. Throughout the course you will learn skills that will lead you to building a whole application by the end of the lectures (a fully working visualization system to visualize airlines routes).\\n\\nThis course is the third one of the “Specialization in Information Visualization\". The course expects you to have some basic knowledge of programming as well as some basic visualization skills.","posting style; flow map; d3.js; data visualization; graphviz; grid view; information visualization; javascript; tableau software; scalable vector graphics","Information Visualization",3.0,"https://www.coursera.org/specializations/information-visualization","This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.\\n\\nThe specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis.\\n\\nThe specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization.\\n\\nThe specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.","[15.4,35.6]","[NULL]","English","information-technology","data-management","HrLTFSiEEeiFdRJFkT2pzg"]
["Data Visualization","Interactive Data Visualization","Developing Data Products","Johns Hopkins University","Beginner",13.8,4.49,"https://www.coursera.org/learn/data-products","A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.","web application; web; product (business); data uri scheme; data visualization; interactivity; graphical environment manager; plotly; r programming; computer programming","Data Science",9.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[8.8,18.6]","Korean; Vietnamese","English","data-science","data-analysis","3Vo3Am1LEeWMPAqsmzmVew"]
["Data Visualization","Interactive Data Visualization","Big Data Science with the BD2K-LINCS Data Coordination and Integration Center","Icahn School of Medicine at Mount Sinai","Intermediate",14.2,4.76,"https://www.coursera.org/learn/bd2k-lincs","The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more. These perturbations are applied to various types of human cells including induced pluripotent stem cells from patients, differentiated into various lineages such as neurons or cardiomyocytes. Then, to better understand the molecular networks that are affected by these perturbations, changes in level of many different variables are measured including: mRNAs, proteins, and metabolites, as well as cellular phenotypic changes such as changes in cell morphology. The BD2K-LINCS Data Coordination and Integration Center (DCIC) is commissioned to organize, analyze, visualize and integrate this data with other publicly available relevant resources. In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.","genomics; geos (16-bit operating system); communication sciences; rna-seq; Neuropathy; reporting guidelines; geo uri scheme; gene knockdown; mcf-7; quantile normalization","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,18.1]","[NULL]","English","life-sciences","basic-science","zfMry-S0EeW_yhIcE2bZaw"]
["Data Visualization","Plot (Graphics)","Applied Plotting, Charting & Data Representation in Python","University of Michigan","Advanced",16.3,4.33,"https://www.coursera.org/learn/python-plotting","This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. \\n\\nThis course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.","graphics; data segment; data virtualization; plot (graphics); matplotlib; data visualization; python programming; computer programming; data uri scheme; pandas","Applied Data Science with Python",2.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[11,20.6]","Korean","English","data-science","data-analysis","IIoidx0zEeaeiw6Wrvtw9w"]
["Data Visualization","Plot (Graphics)","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","data uri scheme; data visualization software; graphs; data visualization; unified parallel c; data virtualization; visualization software; graphics; tableau software; software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Korean; Chinese","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Data Visualization","Plot (Graphics)","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Data Visualization","Scientific Visualization","3D Data Visualization for Science Communication","University of Illinois at Urbana-Champaign","Beginner",38.7,5.0,"https://www.coursera.org/learn/data-visualization-science-communication","This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. You will develop visualization literacy, through being able to interpret/analyze (read) visualizations and create (write) your own visualizations.\\n\\nBy the end of this course, you will:\\n-Develop visualization literacy.\\n-Learn the practicality of working with spatial data.\\n-Understand what makes a scientific visualization meaningful.\\n-Learn how to create educational visualizations that maintain scientific accuracy.\\n-Understand what makes a scientific visualization cinematic.\\n-Learn how to create visualizations that appeal to broad audiences.\\n-Learn how to work with image-making software. (for those completing the Honors track)","3d graphics software; multimedia; visualization (computer graphics); architectural rendering; science communication; cinema 4d; 3d computer graphics; motion graphic design; qt creator; communication sciences","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.8,62.9]","[NULL]","English","data-science","data-analysis","TE5yWMG5EeikXg7aK_-m0g"]
["Data Visualization","Software Visualization","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.9,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","data uri scheme; data segment; presentation; data visualization; analytics; data analysis; analysis; data virtualization; software; tableau software","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.8]","[NULL]","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Data Visualization","Software Visualization","Fundamentals of Visualization with Tableau","University of California, Davis","Beginner",9.7,4.41,"https://www.coursera.org/learn/data-visualization-tableau","In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.  No prior technical or analytical background is required.  The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context,  setting the stage for you to advance to the next course in the Specialization.","data visualization; tableau software; graphics; data virtualization; visualization (computer graphics); storyboarding; analysis; software; data segment; data uri scheme","Data Visualization with Tableau",1.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[6.5,11.5]","[NULL]","English","data-science","data-analysis","VuRXs3EiEeWrAxJQXw-8PQ"]
["Data Visualization","Software Visualization","Essential Design Principles for Tableau","University of California, Davis","Beginner",13.9,4.4,"https://www.coursera.org/learn/dataviz-design","In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the \"right\" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","best practice; constant (computer programming); data visualization; method of analytic tableaux; tableau software; control chart; software; exploratory data analysis; chart; principle","Data Visualization with Tableau",2.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[9.2,16.1]","[NULL]","English","data-science","data-analysis","f6s8aXQ3EeWIfhKr_WcYsQ"]
["Data Visualization","Spatial Analysis","Spatial Analysis and Satellite Imagery in a GIS","University of Toronto","Advanced",15.9,4.89,"https://www.coursera.org/learn/spatial-analysis-satellite-imagery-in-a-gis","In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course.","esri; spatial analysis; geographic information system; cartography; remote sensing; arcgis; Geology; spatial data analysis; satellite; QGIS","GIS, Mapping, and Spatial Analysis",3.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[8.7,21.7]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","eu-2CYXyEeiKGQqaNNlbNg"]
["Data Visualization","Spatial Analysis","GIS Data Acquisition and Map Design","University of Toronto","Advanced",20.2,4.92,"https://www.coursera.org/learn/gis-data-acquisition-map-design","In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into \"mappable\" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map.","geographic information system; cartography; Data Acquisition; QGIS; arcgis; accuracy and precision; data segment; approximation error; analysis; map","GIS, Mapping, and Spatial Analysis",2.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.1,24.6]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","d1ZGJiHHEeayOhJvUh2IzQ"]
["Data Visualization","Spatial Analysis","Maps and the Geospatial Revolution","The Pennsylvania State University","Intermediate",14.2,4.65,"https://www.coursera.org/learn/geospatial","Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools.\\n\\nThe past decade has seen an explosion of new mechanisms for understanding and using location information in widely-accessible technologies. This Geospatial Revolution has resulted in the development of consumer GPS tools, interactive web maps, and location-aware mobile devices. These radical advances are making it possible for people from all walks of life to use, collect, and understand spatial information like never before.\\n \\nThis course brings together core concepts in cartography, geographic information systems, and spatial thinking with real-world examples to provide the fundamentals necessary to engage with Geography beyond the surface-level. We will explore what makes spatial information special, how spatial data is created, how spatial analysis is conducted, and how to design maps so that they’re effective at telling the stories we wish to share. To gain experience using this knowledge, we will work with the latest mapping and analysis software to explore geographic problems.","cartography; spatial analysis; location (geography); geographic information system; arcgis; topography; map; postscript; openstreetmap; global positioning system","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,16.8]","Greek; Chinese","English","data-science","data-analysis","dWLeLeJREeWLHw5Kc9wFbw"]
["Data Visualization","Spatial Analysis","Geospatial Analysis Project","University of California, Davis","Intermediate",12.6,4.8,"https://www.coursera.org/learn/gis-capstone","In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:\\n\\nMilestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it.\\n\\nMilestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type.\\n\\nMilestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis.\\n\\nMilestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.","integration testing; metadata; remote sensing; arcgis; geographic information system; map; geospatial analysis; analysis; cartography; web","Geographic Information Systems  (GIS)",5.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[7.7,15.8]","[NULL]","English","data-science","data-analysis","MXcK-3EiEeWbbw5cIAKQrw"]
["Data Visualization","Spatial Analysis","Introduction to GIS Mapping","University of Toronto","Advanced",17.3,4.75,"https://www.coursera.org/learn/introduction-gis-mapping","Get started learning about the fascinating and useful world of geographic information systems (GIS)! In this first course of the specialization GIS, Mapping, and Spatial Analysis, you'll learn about what a GIS is, how to get started with the software yourself, how things we find in the real world can be represented on a map, how we record locations using coordinates, and how we can make a two-dimensional map from a three-dimensional Earth. In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. This course will give you a strong foundation in mapping and GIS that will give you the understanding you need to start working with GIS, and to succeed in the other courses in this specialization.\\n\\nThis course is for anyone who wants to learn about mapping and GIS. You don't have to have any previous experience - just your curiosity! The course includes both practical software training and explanations of the concepts you need to know to make informed decisions as you start your journey to becoming a GIS analyst.\\n\\nYou will need a Windows computer with ArcGIS Desktop installed.","arcmap; gis software; arcgis; cartography; satellite; remote sensing; geographic information system; map; QGIS; Mapping","GIS, Mapping, and Spatial Analysis",1.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.9,22.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","CVh4TCHHEeaLkRI7JN9TzQ"]
["Data Visualization","Spatial Analysis","Imagery, Automation, and Applications","University of California, Davis","Intermediate",20.7,4.8,"https://www.coursera.org/learn/gis-applications","Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). \\nUsing the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules:\\n\\nWeek 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification.\\n\\nWeek 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro.\\n\\nWeek 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis.\\n\\nWeek 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own.\\n\\nTake Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, \"Fundamentals of GIS,\" \"GIS Data Formats, Design, and Quality\", and \"Geospatial and Environmental Analysis,\" respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.","QGIS; satellite; remote sensing; Model Building; Imagery Analysis; statistical classification; modeling; geographic information system; arcgis; analysis","Geographic Information Systems  (GIS)",4.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,28.4]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","-YdYt3Q6EeWxvQr3acyajw"]
["Data Visualization","Spatial Analysis","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Data Visualization","Statistical Visualization","Applied Plotting, Charting & Data Representation in Python","University of Michigan","Advanced",16.3,4.33,"https://www.coursera.org/learn/python-plotting","This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. \\n\\nThis course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.","graphics; data segment; data virtualization; plot (graphics); matplotlib; data visualization; python programming; computer programming; data uri scheme; pandas","Applied Data Science with Python",2.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[11,20.6]","Korean","English","data-science","data-analysis","IIoidx0zEeaeiw6Wrvtw9w"]
["Data Visualization","Statistical Visualization","Data Analysis with Python","IBM","Beginner",47.3,4.62,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","regression analysis; modeling; analysis; data wrangling; data segment; computer programming; data analysis; linearity; data uri scheme; python programming","IBM Data Science",6.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[5.6,87.6]","Vietnamese; Turkish; Arabic; Korean","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["Data Visualization","Statistical Visualization","Data Visualization with Python","IBM","Beginner",9.9,4.47,"https://www.coursera.org/learn/python-for-data-visualization","A picture is worth a thousand words. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.\\n\\nOne of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.\\n\\nThe main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","choropleth map; python programming; data segment; data virtualization; matplotlib; map; pandas; chart; computer programming; data visualization","IBM Data Science",7.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[4.4,14]","Vietnamese","English","data-science","data-analysis","ORAIlTLtEeizIBKbQHnlqg"]
["Data Visualization","Statistical Visualization","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","data uri scheme; data visualization software; graphs; data visualization; unified parallel c; data virtualization; visualization software; graphics; tableau software; software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Korean; Chinese","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Data Visualization","Visualization (Computer Graphics)","Data Visualization","University of Illinois at Urbana-Champaign","Beginner",14.7,4.43,"https://www.coursera.org/learn/datavisualization","Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.","data uri scheme; data visualization software; graphs; data visualization; unified parallel c; data virtualization; visualization software; graphics; tableau software; software","Data Mining",1.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[9.2,18.5]","Korean; Chinese","English","data-science","data-analysis","IXfI4OuZEeWTQApGcKeRIQ"]
["Data Visualization","Visualization (Computer Graphics)","Fundamentals of Visualization with Tableau","University of California, Davis","Beginner",9.7,4.41,"https://www.coursera.org/learn/data-visualization-tableau","In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.  No prior technical or analytical background is required.  The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context,  setting the stage for you to advance to the next course in the Specialization.","data visualization; tableau software; graphics; data virtualization; visualization (computer graphics); storyboarding; analysis; software; data segment; data uri scheme","Data Visualization with Tableau",1.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[6.5,11.5]","[NULL]","English","data-science","data-analysis","VuRXs3EiEeWrAxJQXw-8PQ"]
["Data Visualization","Visualization (Computer Graphics)","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.9,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","data uri scheme; data segment; presentation; data visualization; analytics; data analysis; analysis; data virtualization; software; tableau software","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[18.2,30.8]","[NULL]","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["Data Visualization","Visualization (Computer Graphics)","Developing Data Products","Johns Hopkins University","Beginner",13.8,4.49,"https://www.coursera.org/learn/data-products","A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.","web application; web; product (business); data uri scheme; data visualization; interactivity; graphical environment manager; plotly; r programming; computer programming","Data Science",9.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[8.8,18.6]","Korean; Vietnamese","English","data-science","data-analysis","3Vo3Am1LEeWMPAqsmzmVew"]
["Data Visualization","Visualization (Computer Graphics)","Essential Design Principles for Tableau","University of California, Davis","Beginner",13.9,4.4,"https://www.coursera.org/learn/dataviz-design","In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the \"right\" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","best practice; constant (computer programming); data visualization; method of analytic tableaux; tableau software; control chart; software; exploratory data analysis; chart; principle","Data Visualization with Tableau",2.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","[9.2,16.1]","[NULL]","English","data-science","data-analysis","f6s8aXQ3EeWIfhKr_WcYsQ"]
["Data Visualization","Visualization (Computer Graphics)","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Data Visualization","Visualization (Computer Graphics)","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Data Visualization","Visualization (Computer Graphics)","Using Databases with Python","University of Michigan","Beginner",16.5,4.76,"https://www.coursera.org/learn/python-databases","This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort.  The course will use SQLite3 as its database.  We will also build web crawlers and multi-step data gathering and visualization processes.  We will use the D3.js library to do basic data visualization.  This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.","language; sql; sqlite; omega language; modeling; data uri scheme; python programming; database model; database; computer programming","Python for Everybody",4.0,"https://www.coursera.org/specializations/python","This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.","[7.9,19.9]","Korean","English","computer-science","software-development","eQJvsjn9EeWJaxK5AT4frw"]
["Machine Learning","Best Courses","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Machine Learning","Best Courses","Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization","deeplearning.ai","Beginner",14.2,4.87,"https://www.coursera.org/learn/deep-neural-network","This course will teach you the \"magic\" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. \\n\\nAfter 3 weeks, you will: \\n- Understand industry best-practices for building deep learning applications. \\n- Be able to effectively use the common neural network \"tricks\", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, \\n- Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. \\n- Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance\\n- Be able to implement a neural network in TensorFlow. \\n\\nThis is the second course of the Deep Learning Specialization.","tensorflow; learning; hyperparameter; gradient; deep learning; mathematical optimization; softmax function; artificial neural network; hyperparameter optimization; euler's totient function","Deep Learning",2.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[9.6,16.3]","Chinese; Turkish; Korean; Spanish","English","data-science","machine-learning","BZ5quSvBEee6gA5XksfBbg"]
["Machine Learning","Best Courses","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","analysis; deep learning; error; multi-task learning; type i and type ii errors; computer multitasking; approximation error; project; learning; machine learning","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[4.5,8]","Chinese; Turkish; Korean; Spanish","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["Machine Learning","Best Courses","Convolutional Neural Networks","deeplearning.ai","Beginner",20.5,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","convolutional neural network; object detection; learning; facial recognition system; detection; computer vision; face recognition; tensorflow; keras; artificial neural network","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[13.7,23.6]","Chinese; Korean; Turkish; Japanese; Spanish","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["Machine Learning","Best Courses","Sequence Models","deeplearning.ai","Beginner",17.1,4.77,"https://www.coursera.org/learn/nlp-sequence-models","This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. \\n\\nYou will:\\n- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.\\n- Be able to apply sequence models to natural language problems, including text synthesis. \\n- Be able to apply sequence models to audio applications, including speech recognition and music synthesis.\\n\\nThis is the fifth and final course of the Deep Learning Specialization.\\n\\ndeeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content.","deep learning; natural language processing; long short-term memory; term (time); modeling; recurrent neural network; speech; artificial neural network; memory; language","Deep Learning",5.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.3,20]","Spanish; Chinese; Korean","English","data-science","machine-learning","25Fh8ivBEee6gA5XksfBbg"]
["Machine Learning","Best Courses","Machine Learning Foundations: A Case Study Approach","University of Washington","Beginner",27.8,4.56,"https://www.coursera.org/learn/ml-foundations","Do you have data and wonder what it can tell you?  Do you need a deeper understanding of the core ways in which machine learning can improve your business?  Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?\\n\\nIn this course, you will get hands-on experience with machine learning from a series of practical case-studies.  At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.  Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains.\\n\\nThis first course treats the machine learning method as a black box.  Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms.  Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Identify potential applications of machine learning in practice.  \\n   -Describe the core differences in analyses enabled by regression, classification, and clustering.\\n   -Select the appropriate machine learning task for a potential application.  \\n   -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning.\\n   -Represent your data as features to serve as input to machine learning models. \\n   -Assess the model quality in terms of relevant error metrics for each task.\\n   -Utilize a dataset to fit a model to analyze new data.\\n   -Build an end-to-end application that uses machine learning at its core.  \\n   -Implement these techniques in Python.","graphlab; statistical classification; deep learning; algorithms; machine learning concepts; machine learning; learning; python programming; analysis; computer programming","Machine Learning",1.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[16,40.1]","Korean; Vietnamese; Chinese","English","data-science","machine-learning","qi9mnkIJEeWC4g7VhG4bTQ"]
["Machine Learning","Best Courses","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Machine Learning","Best Courses","Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning","deeplearning.ai","Beginner",9.2,4.57,"https://www.coursera.org/learn/introduction-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","learning; computer vision; keras; python programming; computer programming; deep learning; artificial neural network; image processing; convolutional neural network; tensorflow","TensorFlow in Practice",1.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[5.6,11.2]","Japanese; Spanish; Russian","English","computer-science","software-development","YpwHVDb5EemE7gr4SGSAsA"]
["Machine Learning","Best Courses","Motion Planning for Self-Driving Cars","University of Toronto","Intermediate",17.5,4.71,"https://www.coursera.org/learn/motion-planning-self-driving-cars","Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning.   By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.  You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times.\\n\\nFor the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection.  You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment.\\n\\nThis is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).","finger protocol; computer programming; interaction; motion planning; robotics; computer vision; python programming; autonomous cars; kalman filter","Self-Driving Cars",4.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.4,26.5]","[NULL]","English","computer-science","software-development","sx-y31PyEeiuag4cjofrng"]
["Machine Learning","Best Courses","Machine Learning: Classification","University of Washington","Beginner",39.5,4.68,"https://www.coursera.org/learn/ml-classification","Case Studies: Analyzing Sentiment & Loan Default Prediction\\n\\nIn our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...).  In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. \\n\\nIn this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.  You will become familiar with  the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.  In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent.  You will implement these technique on real-world, large-scale machine learning tasks.  You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier.  This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data.  We've also included optional content in every module, covering advanced topics for those who want to go even deeper! \\n\\nLearning Objectives: By the end of this course, you will be able to:\\n   -Describe the input and output of a classification model.\\n   -Tackle both binary and multiclass classification problems.\\n   -Implement a logistic regression model for large-scale classification.  \\n   -Create a non-linear model using decision trees.\\n   -Improve the performance of any model using boosting.\\n   -Scale your methods with stochastic gradient ascent.\\n   -Describe the underlying decision boundaries.  \\n   -Build a classification model to predict sentiment in a product review dataset.  \\n   -Analyze financial data to predict loan defaults.\\n   -Use techniques for handling missing data.\\n   -Evaluate your models using precision-recall metrics.\\n   -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).","algorithms; classification algorithms; statistical classification; gradient descent; decision tree; stochastic; learning; machine learning; gradient; logistic regression","Machine Learning",3.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[19.2,53.5]","Korean; Arabic","English","data-science","machine-learning","3c1bSkIJEeWpogr5ZO8qxQ"]
["Machine Learning","Applied Machine Learning","Introduction to Applied Machine Learning","Alberta Machine Intelligence Institute","Intermediate",8.8,4.65,"https://www.coursera.org/learn/machine-learning-applied","This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.\\n\\nBy the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.\\n\\nThis is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.","evaluation; artificial intelligence applications; algorithms; Business Solutions; machine learning algorithms; applied machine learning; ethics; machine learning; data segment; artificial intelligence","Machine Learning: Algorithms in the Real World",1.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","[4.5,12.7]","[NULL]","English","data-science","machine-learning","kaqaonCMEemORhJE5rEKUA"]
["Machine Learning","Applied Machine Learning","Applying Machine Learning to your Data with GCP","Google Cloud","Beginner",13.3,4.72,"https://www.coursera.org/learn/data-insights-gcp-apply-ml","In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.\\n\\nPREREQUISITES\\nTo get the most out of this course, participants must complete the prior courses in this specialization:\\n• Exploring and Preparing your Data\\n• Storing and Visualizing your Data\\n• Architecture and Performance\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","bigquery; google cloud platform; application programming interfaces; machine learning; google; learning; applied machine learning; integration testing; feature selection; cloud computing","From Data to Insights with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[4.2,18.3]","Japanese","English","information-technology","data-management","T_e2Fp5sEeehoxIgNgFKoA"]
["Machine Learning","Applied Machine Learning","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","analysis; deep learning; error; multi-task learning; type i and type ii errors; computer multitasking; approximation error; project; learning; machine learning","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[4.5,8]","Chinese; Turkish; Korean; Spanish","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["Machine Learning","Applied Machine Learning","Applied Machine Learning in Python","University of Michigan","Advanced",23.1,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","evaluation; supervised learning; computer programming; learning; machine learning algorithms; machine learning; machine learning concepts; scikit-learn; python programming; algorithms","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.5,31.8]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["Machine Learning","Applied Machine Learning","How Google does Machine Learning","Google Cloud","Beginner",16.6,4.56,"https://www.coursera.org/learn/google-machine-learning","What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. \\n\\nThen, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","learning; google cloud platform; bigquery; google; google compute engine; machine learning; cloud computing; application programming interfaces; cloud api; cloud platforms","Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[6.2,23.7]","Japanese; Portuguese; Spanish; German; French","English","data-science","machine-learning","BIU_pgCCEeiZdg6RDGBSdg"]
["Machine Learning","Applied Machine Learning","Machine Learning Foundations: A Case Study Approach","University of Washington","Beginner",27.8,4.56,"https://www.coursera.org/learn/ml-foundations","Do you have data and wonder what it can tell you?  Do you need a deeper understanding of the core ways in which machine learning can improve your business?  Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?\\n\\nIn this course, you will get hands-on experience with machine learning from a series of practical case-studies.  At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.  Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains.\\n\\nThis first course treats the machine learning method as a black box.  Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms.  Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Identify potential applications of machine learning in practice.  \\n   -Describe the core differences in analyses enabled by regression, classification, and clustering.\\n   -Select the appropriate machine learning task for a potential application.  \\n   -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning.\\n   -Represent your data as features to serve as input to machine learning models. \\n   -Assess the model quality in terms of relevant error metrics for each task.\\n   -Utilize a dataset to fit a model to analyze new data.\\n   -Build an end-to-end application that uses machine learning at its core.  \\n   -Implement these techniques in Python.","graphlab; statistical classification; deep learning; algorithms; machine learning concepts; machine learning; learning; python programming; analysis; computer programming","Machine Learning",1.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[16,40.1]","Korean; Vietnamese; Chinese","English","data-science","machine-learning","qi9mnkIJEeWC4g7VhG4bTQ"]
["Machine Learning","Applied Machine Learning","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Machine Learning","Applied Machine Learning","Machine Learning With Big Data","University of California San Diego","Beginner",25.5,4.51,"https://www.coursera.org/learn/big-data-machine-learning","Want to make sense of the volumes of data you have collected?  Need to incorporate data-driven decisions into your process?  This course provides an overview of machine learning techniques to explore, analyze, and leverage data.  You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.\\n\\nAt the end of the course, you will be able to:\\n•\\tDesign an approach to leverage data using the steps in the machine learning process.\\n•\\tApply machine learning techniques to explore and prepare data for modeling.\\n•\\tIdentify the type of machine learning problem in order to apply the appropriate set of techniques.\\n•\\tConstruct models that learn from data using widely available open source tools.\\n•\\tAnalyze big data problems using scalable machine learning algorithms on Spark.\\n\\nSoftware Requirements: \\nCloudera VM, KNIME, Spark","knime; apache spark; analysis; learning; data clustering algorithms; machine learning concepts; machine learning; statistical classification; cluster analysis; algorithms","Big Data",4.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.3,43.9]","Korean; Chinese","English","data-science","machine-learning","loAmvxJgEea8fxLSgUgxeQ"]
["Machine Learning","Applied Machine Learning","Machine Learning: Classification","University of Washington","Beginner",39.5,4.68,"https://www.coursera.org/learn/ml-classification","Case Studies: Analyzing Sentiment & Loan Default Prediction\\n\\nIn our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...).  In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. \\n\\nIn this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.  You will become familiar with  the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.  In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent.  You will implement these technique on real-world, large-scale machine learning tasks.  You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier.  This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data.  We've also included optional content in every module, covering advanced topics for those who want to go even deeper! \\n\\nLearning Objectives: By the end of this course, you will be able to:\\n   -Describe the input and output of a classification model.\\n   -Tackle both binary and multiclass classification problems.\\n   -Implement a logistic regression model for large-scale classification.  \\n   -Create a non-linear model using decision trees.\\n   -Improve the performance of any model using boosting.\\n   -Scale your methods with stochastic gradient ascent.\\n   -Describe the underlying decision boundaries.  \\n   -Build a classification model to predict sentiment in a product review dataset.  \\n   -Analyze financial data to predict loan defaults.\\n   -Use techniques for handling missing data.\\n   -Evaluate your models using precision-recall metrics.\\n   -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).","algorithms; classification algorithms; statistical classification; gradient descent; decision tree; stochastic; learning; machine learning; gradient; logistic regression","Machine Learning",3.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[19.2,53.5]","Korean; Arabic","English","data-science","machine-learning","3c1bSkIJEeWpogr5ZO8qxQ"]
["Machine Learning","Applied Machine Learning","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Machine Learning","Applied Machine Learning","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Machine Learning","Applied Machine Learning","Machine Learning Algorithms: Supervised Learning Tip to Tail","Alberta Machine Intelligence Institute","Intermediate",12.0,4.65,"https://www.coursera.org/learn/machine-learning-classification-algorithms","This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.\\n\\nTo be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).\\n\\nThis is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.","python programming; k-ary tree; learning rule; machine learning; supervised learning; machine learning algorithms; acute lymphoblastic leukemia; bias variance tradeoff; support vector machine; supervision","Machine Learning: Algorithms in the Real World",2.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","[6.3,14.8]","[NULL]","English","data-science","machine-learning","bNfKJYcIEemsaArI-0TJTA"]
["Machine Learning","Applied Machine Learning","Data for Machine Learning","Alberta Machine Intelligence Institute","Intermediate",12.0,4.59,"https://www.coursera.org/learn/data-machine-learning","This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to:\\nUnderstand the critical elements of data in the learning, training and operation phases\\nUnderstand biases and sources of data\\nImplement techniques to improve the generality of your model\\nExplain the consequences of overfitting and identify mitigation measures\\nImplement appropriate test and validation measures.\\nDemonstrate how the accuracy of your model can be improved with thoughtful feature engineering.\\nExplore the impact of the algorithm parameters on model strength\\n\\nTo be successful in this course, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).\\n\\nThis is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.","data cleansing; crash test; polyglot persistence; data manipulation; data pre-processing; machine learning; relative risk; income bracket; support vector machine; data segment","Machine Learning: Algorithms in the Real World",3.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","[7.9,13.5]","[NULL]","English","data-science","machine-learning","iBhpoocIEemQgg5vJN-Zig"]
["Machine Learning","Applied Machine Learning","Optimizing Machine Learning Performance","Alberta Machine Intelligence Institute","Intermediate",13.8,4.6,"https://www.coursera.org/learn/optimize-machine-learning-model-performance","This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context. \\n\\nTo be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).\\n\\nThis is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii).","competency-based development; meta learning; learning rule; knowledge machine; Training Analysis; offline learning; Competency Based Training; project management simulation; business process mapping; decision cycle","Machine Learning: Algorithms in the Real World",4.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","[9.4,22.5]","[NULL]","English","data-science","machine-learning","nRPPU4cIEemnYBKoCytk8g"]
["Machine Learning","Artificial Neural Network","Convolutional Neural Networks","deeplearning.ai","Beginner",20.5,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","convolutional neural network; object detection; learning; facial recognition system; detection; computer vision; face recognition; tensorflow; keras; artificial neural network","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[13.7,23.6]","Chinese; Korean; Turkish; Japanese; Spanish","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["Machine Learning","Artificial Neural Network","Convolutional Neural Networks in TensorFlow","deeplearning.ai","Beginner",8.8,4.59,"https://www.coursera.org/learn/convolutional-neural-networks-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","statistical classification; convolutional neural network; image processing; keras; inductive transfer; tensorflow; artificial neural network; convolution; learning; multiclass classification","TensorFlow in Practice",2.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.4,15.8]","Russian; Japanese","English","data-science","machine-learning","5mAuak8zEemKoQ4qeYq26g"]
["Machine Learning","Artificial Neural Network","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Machine Learning","Artificial Neural Network","Introduction to Deep Learning","National Research University Higher School of Economics","Advanced",41.5,4.45,"https://www.coursera.org/learn/intro-to-deep-learning","The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. \\nLearners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.\\n\\nThe prerequisites for this course are: \\n1) Basic knowledge of Python.\\n2) Basic linear algebra and probability.\\n\\nPlease note that this is an advanced course and we assume basic knowledge of machine learning. You should understand:\\n1) Linear regression: mean squared error, analytical solution.\\n2) Logistic regression: model, cross-entropy loss, class probability estimation.\\n3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions.\\n4) The problem of overfitting.\\n5) Regularization for linear models.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","keras; artificial neural network; deep learning; learning; tensorflow; mathematical optimization; machine learning; recurrent neural network; convolutional neural network; autoencoder","Advanced Machine Learning",1.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[23.9,67.6]","Korean","English","data-science","machine-learning","pNXe13ICEeeBKg4MjLYj6A"]
["Machine Learning","Artificial Neural Network","Introduction to Deep Learning & Neural Networks with Keras","IBM","Intermediate",8.7,4.69,"https://www.coursera.org/learn/introduction-to-deep-learning-with-keras","Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.\\n\\nAfter completing this course, learners will be able to:\\n•\\tdescribe what a neural network is, what a deep learning model is, and the difference between them.\\n•\\tdemonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.\\n•\\tdemonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.\\n•\\tbuild deep learning models and networks using the Keras library.","deep learning; learning; pytorch; Data Science; artificial intelligence; machine learning; keras; tensorflow; python programming; artificial neural network","IBM AI Engineering",3.0,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[4.3,10.8]","[NULL]","English","data-science","machine-learning","fJCXLJkeEeml5wpuotDEDA"]
["Machine Learning","Artificial Neural Network","Image Understanding with TensorFlow on GCP","Google Cloud","Beginner",23.7,4.56,"https://www.coursera.org/learn/image-understanding-tensorflow-gcp","This is the third course of the Advanced Machine Learning on GCP specialization. In this course,\\nWe will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models.\\n\\nYou will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","cloud computing; linear model; artificial neural network; inductive transfer; convolutional neural network; application programming interfaces; deep learning; tensorflow; statistical classification; linearity","Advanced Machine Learning with TensorFlow on Google Cloud Platform",3.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[6.7,34.7]","[NULL]","English","data-science","machine-learning","Y23EubLbEeiKUAqNzm0xRA"]
["Machine Learning","Artificial Neural Network","Introduction to Machine Learning","Duke University","Beginner",15.0,4.59,"https://www.coursera.org/learn/machine-learning-duke","This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with TensorFlow, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).","supply chain; artificial neural network; convolutional neural network; perceptron; machine learning; learning; logistic regression; multilayer perceptron; reinforcement learning; natural language processing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.9]","[NULL]","English","data-science","machine-learning","8BJHzZD_EeiKohJBs5wRGA"]
["Machine Learning","Artificial Neural Network","Sequence Models","deeplearning.ai","Beginner",17.1,4.77,"https://www.coursera.org/learn/nlp-sequence-models","This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. \\n\\nYou will:\\n- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.\\n- Be able to apply sequence models to natural language problems, including text synthesis. \\n- Be able to apply sequence models to audio applications, including speech recognition and music synthesis.\\n\\nThis is the fifth and final course of the Deep Learning Specialization.\\n\\ndeeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content.","deep learning; natural language processing; long short-term memory; term (time); modeling; recurrent neural network; speech; artificial neural network; memory; language","Deep Learning",5.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.3,20]","Spanish; Chinese; Korean","English","data-science","machine-learning","25Fh8ivBEee6gA5XksfBbg"]
["Machine Learning","Bayesian Network","Bayesian Methods for Machine Learning","National Research University Higher School of Economics","Advanced",43.8,4.47,"https://www.coursera.org/learn/bayesian-methods-in-machine-learning","People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. \\nWhen applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money.\\nIn six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. We will see how one can automate this workflow and how to speed it up using some advanced techniques. \\nWe will also see applications of Bayesian methods to deep learning and how to generate new images with it. We will see how new drugs that cure severe diseases be found with Bayesian methods.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","mathematical optimization; bayesian; variational bayesian methods; gaussian process; chaining; markov chain; inference; markov chain monte carlo; bayesian optimization; bayesian inference","Advanced Machine Learning",3.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[21.8,67.7]","Korean","English","data-science","machine-learning","anas83IDEeenOwpmZ1LH1g"]
["Machine Learning","Bayesian Network","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Machine Learning","Bayesian Network","Bayesian Statistics: From Concept to Data Analysis","University of California, Santa Cruz","Intermediate",34.8,4.49,"https://www.coursera.org/learn/bayesian-statistics","This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.","bayesian inference; prior probability; bayesian statistics; conjugate prior; inference; studentized residual; r programming; probability; bayesian; statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14,53.8]","[NULL]","English","data-science","probability-and-statistics","Qqmr3fBKEeWLaBLI8fdMlw"]
["Machine Learning","Bayesian Network","Bayesian Statistics: Techniques and Models","University of California, Santa Cruz","Advanced",48.7,4.65,"https://www.coursera.org/learn/mcmc-bayesian-statistics","This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data.","hierarchical database model; bayesian inference; bayesian network; gibbs sampling; analysis of variance; inference; bayesian; estimation; statistics; bayesian statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[25,85.9]","[NULL]","English","data-science","probability-and-statistics","w8XUd6IPEeabYQqQ7YU7Bg"]
["Machine Learning","Computer Vision","Internet of Things: Multimedia Technologies","University of California San Diego","Beginner",5.8,4.5,"https://www.coursera.org/learn/internet-of-things-multimedia","Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective. \\n\\nIn this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc.  You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application. \\n\\nLearning Goals: After completing this course, you will be able to:\\n\\n1.\\tExplain the tradeoffs between media quality and bandwidth for content delivery. \\n2.\\tExtract and display metadata from media files.\\n3.\\tImplement and demonstrate a simple media player application using DragonBoard™ 410c.","internet of things; communication sciences; computer vision; communication theory; materials; learning; communication; multimedia; c libraries; integration testing","Internet of Things",5.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[3.6,6.5]","[NULL]","English","physical-science-and-engineering","electrical-engineering","er2NJyzfEeWv_w7cMMH1Uw"]
["Machine Learning","Computer Vision","Visual Perception for Self-Driving Cars","University of Toronto","Advanced",18.9,4.46,"https://www.coursera.org/learn/visual-perception-self-driving-cars","Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception.  By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.  You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars.\\n\\nFor the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface.  You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset.\\n\\nThis is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses).","autonomous cars; perception; tracking; opencv; image segmentation; object detection; computer vision; deep learning; robotics; computer stereo vision","Self-Driving Cars",3.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.2,27.2]","[NULL]","English","computer-science","software-development","Pr5NLlPyEei-RQ6pitSIHg"]
["Machine Learning","Computer Vision","Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning","deeplearning.ai","Beginner",9.2,4.57,"https://www.coursera.org/learn/introduction-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","learning; computer vision; keras; python programming; computer programming; deep learning; artificial neural network; image processing; convolutional neural network; tensorflow","TensorFlow in Practice",1.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[5.6,11.2]","Japanese; Spanish; Russian","English","computer-science","software-development","YpwHVDb5EemE7gr4SGSAsA"]
["Machine Learning","Computer Vision","Convolutional Neural Networks","deeplearning.ai","Beginner",20.5,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","convolutional neural network; object detection; learning; facial recognition system; detection; computer vision; face recognition; tensorflow; keras; artificial neural network","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[13.7,23.6]","Chinese; Korean; Turkish; Japanese; Spanish","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["Machine Learning","Computer Vision","Image Understanding with TensorFlow on GCP","Google Cloud","Beginner",23.7,4.56,"https://www.coursera.org/learn/image-understanding-tensorflow-gcp","This is the third course of the Advanced Machine Learning on GCP specialization. In this course,\\nWe will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models.\\n\\nYou will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","cloud computing; linear model; artificial neural network; inductive transfer; convolutional neural network; application programming interfaces; deep learning; tensorflow; statistical classification; linearity","Advanced Machine Learning with TensorFlow on Google Cloud Platform",3.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[6.7,34.7]","[NULL]","English","data-science","machine-learning","Y23EubLbEeiKUAqNzm0xRA"]
["Machine Learning","Computer Vision","Browser-based Models with TensorFlow.js","deeplearning.ai","Intermediate",11.7,4.75,"https://www.coursera.org/learn/browser-based-models-tensorflow","Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.\\n\\nIn this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam.\\n\\nThis Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","javascript; computer vision; machine learning; learning; artificial intelligence; tensorflow; integration testing; artificial neural network; inductive transfer; deep learning","TensorFlow: Data and Deployment",1.0,"https://www.coursera.org/specializations/tensorflow-data-and-deployment","Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.\\n\\nIn this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.\\n\\nIndustries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.\\n\\nThis Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.","[8,14]","[NULL]","English","computer-science","software-development","uKwvlpnQEemOxg5RMN8aOg"]
["Machine Learning","Computer Vision","Convolutional Neural Networks in TensorFlow","deeplearning.ai","Beginner",8.8,4.59,"https://www.coursera.org/learn/convolutional-neural-networks-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","statistical classification; convolutional neural network; image processing; keras; inductive transfer; tensorflow; artificial neural network; convolution; learning; multiclass classification","TensorFlow in Practice",2.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.4,15.8]","Russian; Japanese","English","data-science","machine-learning","5mAuak8zEemKoQ4qeYq26g"]
["Machine Learning","Computer Vision","Motion Planning for Self-Driving Cars","University of Toronto","Intermediate",17.5,4.71,"https://www.coursera.org/learn/motion-planning-self-driving-cars","Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning.   By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.  You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times.\\n\\nFor the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection.  You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment.\\n\\nThis is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).","finger protocol; computer programming; interaction; motion planning; robotics; computer vision; python programming; autonomous cars; kalman filter","Self-Driving Cars",4.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.4,26.5]","[NULL]","English","computer-science","software-development","sx-y31PyEeiuag4cjofrng"]
["Machine Learning","Computer Vision","Getting started with Augmented Reality","Institut Mines-Télécom","Intermediate",19.6,4.29,"https://www.coursera.org/learn/augmented-reality","This course will teach you the basics of developing mobile applications using Mixed and Augmented Reality (MAR) technologies.\\n \\nThrough hands-on projects, you’ll learn practical techniques to rapidly and easily prototype three different applications for Android smartphones and tablets – even with no previous coding experience.\\n\\nIf you’re a creative entrepreneur, this is your ideal introduction to today’s trends in the products and technologies of the emerging augmented reality market.\\n\\nIf you’re a journalist, media/content producer or teacher, you’ll discover how to augment print-based media with sounds, images and videos, and see how to create an augmented city map and geo-located augmented reality game for your audience.\\n\\nIf you’re a web designer or app developer, you’ll gain a range of technological building blocks that you can integrate into your service portfolio.\\n\\nWhatever your background, you’ll learn how to design cutting-edge visual experiences that will enhance your job prospects.\\n\\nWhat you’ll learn\\n\\n•\\tAll about the main MAR products and technologies on the market today\\n•\\tHow to build three different augmented reality applications using an augmented reality browser and authoring tools\\n•\\tHow to include image recognition and object tracking \\n•\\tHow to use geolocation functionality for outdoor augmented reality\\n•\\tDetails of the ISO-ARAF standard, an innovative language for representing augmented reality content\\n\\nPrerequisites\\n\\n•\\tYou don’t need any prior technical knowledge to take this course. \\n\\n•\\tIf you’re familiar with markup languages (HTML, XML, etc) and content management systems, you may be more at ease  with the key concepts and techniques.\\n\\nThis MOOC is supported by the Patrick and Lina Drahi Foundation.\\n\\nFollow us!\\nTwitter : https://twitter.com/MOOCMAR\\nFacebook : https://www.facebook.com/MOOCMAR/","Booking; critical thinking; image texture; architecture; .bit; vrml; editing; artificial intelligence applications; computer program; augmented reality","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,26.1]","[NULL]","English","computer-science","mobile-and-web-development","xUxjEeztEeW4_wr--Yv6Aw"]
["Machine Learning","Computer Vision","Project: Basic Image Classification with TensorFlow","Rhyme","Advanced",3.4,4.46,"https://www.coursera.org/learn/tensorflow-beginner-basic-image-classification","In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.\\n\\nNote: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.","canonical form; ipython; learning; data uri scheme; python programming; machine learning; matrices; tensorflow; Data Science; algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[0.5,5.3]","[NULL]","English","data-science","machine-learning","t2Gp3snCEemHiQqglUGzsg"]
["Machine Learning","Computer Vision","Introduction to Deep Learning","National Research University Higher School of Economics","Advanced",41.5,4.45,"https://www.coursera.org/learn/intro-to-deep-learning","The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. \\nLearners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.\\n\\nThe prerequisites for this course are: \\n1) Basic knowledge of Python.\\n2) Basic linear algebra and probability.\\n\\nPlease note that this is an advanced course and we assume basic knowledge of machine learning. You should understand:\\n1) Linear regression: mean squared error, analytical solution.\\n2) Logistic regression: model, cross-entropy loss, class probability estimation.\\n3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions.\\n4) The problem of overfitting.\\n5) Regularization for linear models.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","keras; artificial neural network; deep learning; learning; tensorflow; mathematical optimization; machine learning; recurrent neural network; convolutional neural network; autoencoder","Advanced Machine Learning",1.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[23.9,67.6]","Korean","English","data-science","machine-learning","pNXe13ICEeeBKg4MjLYj6A"]
["Machine Learning","Computer Vision","Sequences, Time Series and Prediction","deeplearning.ai","Advanced",7.6,4.43,"https://www.coursera.org/learn/tensorflow-sequences-time-series-and-prediction","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","environment variable; tensorflow; series a round; time series; long short-term memory; artificial neural network; modeling; forecasting; analysis; time series models","TensorFlow in Practice",4.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.7,9.4]","[NULL]","English","data-science","machine-learning","0A7WBYfuEemoiA62n0CmxA"]
["Machine Learning","Computer Vision","Applying Machine Learning to your Data with GCP","Google Cloud","Beginner",13.3,4.72,"https://www.coursera.org/learn/data-insights-gcp-apply-ml","In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.\\n\\nPREREQUISITES\\nTo get the most out of this course, participants must complete the prior courses in this specialization:\\n• Exploring and Preparing your Data\\n• Storing and Visualizing your Data\\n• Architecture and Performance\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","bigquery; google cloud platform; application programming interfaces; machine learning; google; learning; applied machine learning; integration testing; feature selection; cloud computing","From Data to Insights with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[4.2,18.3]","Japanese","English","information-technology","data-management","T_e2Fp5sEeehoxIgNgFKoA"]
["Machine Learning","Computer Vision","Introduction to Artificial Intelligence (AI)","IBM","Beginner",8.3,4.71,"https://www.coursera.org/learn/introduction-to-ai","In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini project.\\n \\nThis course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.","machine learning; ethics of artificial intelligence; artificial neural network; a.i. artificial intelligence; deep learning; learning; artificial intelligence; watson (computer); artificial intelligence applications; ethics","IBM Applied AI",1.0,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[4.9,10.6]","[NULL]","English","data-science","machine-learning","mR7MlUaTEemuHQ4HpHozrA"]
["Machine Learning","Computer Vision","Introduction to Augmented Reality and ARCore","Google AR & VR","Beginner",4.9,4.45,"https://www.coursera.org/learn/ar","This class will teach you the fundamentals of augmented reality (AR), and how to build an AR experience using ARCore. Through the four week course, you'll learn:\\n\\n- How to identify different types of AR experiences \\n- Tools and platforms used in the AR landscape \\n- What makes AR feel \"real\" \\n- Popular use cases for AR\\n- How to create an AR use flow \\n- How AR experiences work\\n- Tools like Google Poly and Unity to build AR experiences \\n- Next steps to start building an AR experience using ARCore and other tools  \\n\\nThis course will break down complex AR concepts to make them easy to understand, while also sharing expert tips and knowledge from Daydream's ARCore team. The course is great for beginners who are just getting started with AR or ARCore.","building information modeling; experience; augmented reality; mobile application development; computer-aided design; integration testing; virtual reality; 3d modeling; google; user interface","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.8,6.4]","[NULL]","English","computer-science","mobile-and-web-development","nthqNzRuEeisQBLVcB1obg"]
["Machine Learning","Computer Vision","Natural Language Processing in TensorFlow","deeplearning.ai","Beginner",8.9,4.51,"https://www.coursera.org/learn/natural-language-processing-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","keras; natural language processing; p′′; natural language generation; natural language; long short-term memory; tensorflow; omega language; generation; language","TensorFlow in Practice",3.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[4.2,11]","Korean","English","data-science","machine-learning","eWdF_oGHEemfwRIsGCa-_A"]
["Machine Learning","Computer Vision","Convolutional Neural Networks in TensorFlow","deeplearning.ai","Beginner",8.8,4.59,"https://www.coursera.org/learn/convolutional-neural-networks-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","statistical classification; convolutional neural network; image processing; keras; inductive transfer; tensorflow; artificial neural network; convolution; learning; multiclass classification","TensorFlow in Practice",2.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.4,15.8]","Russian; Japanese","English","data-science","machine-learning","5mAuak8zEemKoQ4qeYq26g"]
["Machine Learning","Computer Vision","Sequences, Time Series and Prediction","deeplearning.ai","Advanced",7.6,4.43,"https://www.coursera.org/learn/tensorflow-sequences-time-series-and-prediction","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","environment variable; tensorflow; series a round; time series; long short-term memory; artificial neural network; modeling; forecasting; analysis; time series models","TensorFlow in Practice",4.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.7,9.4]","[NULL]","English","data-science","machine-learning","0A7WBYfuEemoiA62n0CmxA"]
["Machine Learning","Computer Vision","Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning","deeplearning.ai","Beginner",9.2,4.57,"https://www.coursera.org/learn/introduction-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","learning; computer vision; keras; python programming; computer programming; deep learning; artificial neural network; image processing; convolutional neural network; tensorflow","TensorFlow in Practice",1.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[5.6,11.2]","Japanese; Spanish; Russian","English","computer-science","software-development","YpwHVDb5EemE7gr4SGSAsA"]
["Machine Learning","Computer Vision","Advanced Deployment Scenarios with TensorFlow","deeplearning.ai","Intermediate",9.4,4.5,"https://www.coursera.org/learn/advanced-deployment-scenarios-tensorflow","Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.\\n\\nIn this final course, you’ll explore four different scenarios you’ll encounter when deploying models. You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web. You’ll move on to TensorFlow Hub, a repository of models that you can use for transfer learning. Then you’ll use TensorBoard to evaluate and understand how your models work, as well as share your model metadata with others. Finally, you’ll explore federated learning and how you can retrain deployed models with user data while maintaining data privacy.\\n\\nThis Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","raspberry pi; training; tensorflow; web; learning; ios app development; ordered pair; machine learning; deep learning; modeling","TensorFlow: Data and Deployment",4.0,"https://www.coursera.org/specializations/tensorflow-data-and-deployment","Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.\\n\\nIn this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.\\n\\nIndustries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.\\n\\nThis Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.","[5,13.8]","[NULL]","English","computer-science","software-development","ylBpfAJTEeqAFw6MwpRLiw"]
["Machine Learning","Computer Vision","Browser-based Models with TensorFlow.js","deeplearning.ai","Intermediate",11.7,4.75,"https://www.coursera.org/learn/browser-based-models-tensorflow","Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.\\n\\nIn this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam.\\n\\nThis Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","javascript; computer vision; machine learning; learning; artificial intelligence; tensorflow; integration testing; artificial neural network; inductive transfer; deep learning","TensorFlow: Data and Deployment",1.0,"https://www.coursera.org/specializations/tensorflow-data-and-deployment","Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.\\n\\nIn this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.\\n\\nIndustries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.\\n\\nThis Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.","[8,14]","[NULL]","English","computer-science","software-development","uKwvlpnQEemOxg5RMN8aOg"]
["Machine Learning","Computer Vision","Device-based Models with TensorFlow Lite","deeplearning.ai","Intermediate",10.2,4.62,"https://www.coursera.org/learn/device-based-models-tensorflow","Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.\\n\\nThis second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers.\\n\\nThis Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","learning; edge computing; modeling; tensorflow; deep learning; artificial intelligence; mathematical optimization; ios app development; raspberry pi; computer vision","TensorFlow: Data and Deployment",2.0,"https://www.coursera.org/specializations/tensorflow-data-and-deployment","Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models.\\n\\nIn this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.\\n\\nIndustries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever.\\n\\nThis Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.","[6.2,12.8]","[NULL]","English","computer-science","software-development","5h_UG_EaEemQmRLkaCDi9A"]
["Machine Learning","Computer Vision","Motion Planning for Self-Driving Cars","University of Toronto","Intermediate",17.5,4.71,"https://www.coursera.org/learn/motion-planning-self-driving-cars","Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning.   By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.  You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times.\\n\\nFor the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection.  You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment.\\n\\nThis is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).","finger protocol; computer programming; interaction; motion planning; robotics; computer vision; python programming; autonomous cars; kalman filter","Self-Driving Cars",4.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.4,26.5]","[NULL]","English","computer-science","software-development","sx-y31PyEeiuag4cjofrng"]
["Machine Learning","Computer Vision","Visual Perception for Self-Driving Cars","University of Toronto","Advanced",18.9,4.46,"https://www.coursera.org/learn/visual-perception-self-driving-cars","Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception.  By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.  You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars.\\n\\nFor the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface.  You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset.\\n\\nThis is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses).","autonomous cars; perception; tracking; opencv; image segmentation; object detection; computer vision; deep learning; robotics; computer stereo vision","Self-Driving Cars",3.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.2,27.2]","[NULL]","English","computer-science","software-development","Pr5NLlPyEei-RQ6pitSIHg"]
["Machine Learning","Computer Vision","State Estimation and Localization for Self-Driving Cars","University of Toronto","Advanced",21.8,4.57,"https://www.coursera.org/learn/state-estimation-localization-self-driving-cars","Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. \\n\\nThis course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to:\\n- Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares\\n- Develop a model for typical vehicle localization sensors, including GPS and IMUs\\n- Apply extended and unscented Kalman Filters to a vehicle state estimation problem\\n- Understand LIDAR scan matching and the Iterative Closest Point algorithm \\n- Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car \\n\\nFor the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. \\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).","robotics; Electrical Engineering; opengl; estimation; autonomous cars; global positioning system; computer vision; c programming; kalman filter; c++","Self-Driving Cars",2.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[12.7,26.7]","[NULL]","English","computer-science","software-development","Hb0M4lPyEeiNrg7HoBf7gA"]
["Machine Learning","Computer Vision","Introduction to Self-Driving Cars","University of Toronto","Intermediate",25.1,4.66,"https://www.coursera.org/learn/intro-self-driving-cars","Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. \\n\\nThis course will introduce you to the terminology, design considerations and safety assessment of self-driving cars.  By the end of this course, you will be able to: \\n- Understand commonly used hardware used for self-driving cars\\n- Identify the main components of the self-driving software stack\\n- Program vehicle modelling and control  \\n- Analyze the safety frameworks and current industry practices for vehicle development\\n\\nFor the final project in this course, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path tracking performance using Python. You’ll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance.\\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).\\n\\nYou will also need certain hardware and software specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","integration testing; computer programming; autonomous cars; software architecture; computer vision; null character; mathematical model; python programming; safety assurance","Self-Driving Cars",1.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[17,31.1]","Spanish","English","computer-science","software-development","p2jYHVPxEein9xItvIlMSA"]
["Machine Learning","Computer Vision","Production Machine Learning Systems","Google Cloud","Beginner",16.5,4.55,"https://www.coursera.org/learn/gcp-production-ml-systems","In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","integration testing; mathematical optimization; debugging; tensorflow; advanced machine learning; cloud computing; analytics; machine learning; learning; preview","Advanced Machine Learning with TensorFlow on Google Cloud Platform",2.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[4.5,26.5]","[NULL]","English","data-science","machine-learning","BwuL5JwaEeigWgp_hi6FmA"]
["Machine Learning","Computer Vision","Recommendation Systems with TensorFlow on GCP","Google Cloud","Advanced",23.6,4.39,"https://www.coursera.org/learn/recommendation-models-gcp","In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.\\n\\n• Devise a content-based recommendation engine\\n• Implement a collaborative filtering recommendation engine\\n• Build a hybrid recommendation engine with user and content embeddings\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","a/rose; recommender systems; matrices; artificial neural network; advanced machine learning; cloud computing; factorization; tensorflow; google cloud platform; algorithms","Advanced Machine Learning with TensorFlow on Google Cloud Platform",5.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[8.2,34.9]","[NULL]","English","data-science","machine-learning","LsMF0rxtEei1aQ5Zl9xCuA"]
["Machine Learning","Computer Vision","End-to-End Machine Learning with TensorFlow on GCP","Google Cloud","Beginner",16.9,4.5,"https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp","In the first course of this specialization, we will recap what was covered in the  Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).\\n\\nOne of the best ways to review something is to work with the concepts and technologies that you have learned.\\n\\nSo, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform\\n\\nPrerequisites:\\nBasic SQL, familiarity with Python and TensorFlow\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","machine learning; tensorflow; google; cloud platforms; cloud computing; google cloud platform; dataflow; advanced machine learning; bigquery; learning","Advanced Machine Learning with TensorFlow on Google Cloud Platform",1.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[5.9,25.6]","[NULL]","English","data-science","data-analysis","V4QRgobREei8Cw6fDgqybg"]
["Machine Learning","Computer Vision","Sequence Models for Time Series and Natural Language Processing","Google Cloud","Advanced",32.8,4.27,"https://www.coursera.org/learn/sequence-models-tensorflow-gcp","This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.\\n\\n• Predict future values of a time-series\\n• Classify free form text\\n• Address time-series and text problems with recurrent neural networks\\n• Choose between RNNs/LSTMs and simpler models\\n• Train and reuse word embeddings in text problems\\n\\nYou will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","natural language processing; p′′; long short-term memory; document classification; integration testing; time series; tensorflow; natural language; artificial neural network; statistical classification","Advanced Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[8.5,49.1]","[NULL]","English","data-science","machine-learning","7sNP37xrEeiL4Q6DgrZ6DA"]
["Machine Learning","Computer Vision","Image Understanding with TensorFlow on GCP","Google Cloud","Beginner",23.7,4.56,"https://www.coursera.org/learn/image-understanding-tensorflow-gcp","This is the third course of the Advanced Machine Learning on GCP specialization. In this course,\\nWe will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models.\\n\\nYou will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","cloud computing; linear model; artificial neural network; inductive transfer; convolutional neural network; application programming interfaces; deep learning; tensorflow; statistical classification; linearity","Advanced Machine Learning with TensorFlow on Google Cloud Platform",3.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[6.7,34.7]","[NULL]","English","data-science","machine-learning","Y23EubLbEeiKUAqNzm0xRA"]
["Machine Learning","Computer Vision","Python Basics","University of Michigan","Beginner",22.6,4.76,"https://www.coursera.org/learn/python-basics","This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook \"Fundamentals of Python Programming,\" which is the accompanying text (optional and free) for this course.\\n\\nThe course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is the first of five courses in the Python 3 Programming Specialization.","programming language; computer programming; basic programming language; python syntax and semantics; list & label; semantics; python programming; syntax; language; omega language","Python 3 Programming",1.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[11.4,29.6]","Korean; Vietnamese","English","computer-science","software-development","lGfJI2RJEeiXlwpPEKC-GA"]
["Machine Learning","Computer Vision","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.9,4.83,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","object-oriented programming; indentation (typesetting); euler's totient function; opencv; computer programming; sorting; Data Science; c++; analysis; python programming","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[12.7,32.4]","Vietnamese; Korean","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["Machine Learning","Computer Vision","Python Classes and Inheritance","University of Michigan","Beginner",13.7,4.72,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","class (computer programming); computer programming; inheritance (object-oriented programming); python programming; continuous function; django (web framework); software engineering; object-oriented programming; unit testing; opencv","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[6.7,18.3]","[NULL]","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["Machine Learning","Computer Vision","Data Collection and Processing with Python","University of Michigan","Beginner",15.7,4.65,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","representational state transfer; web api; list & label; application programming interfaces; list comprehension; computer programming; data collection; web; python programming; json","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[7.9,19.9]","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["Machine Learning","Computer Vision","Bayesian Methods for Machine Learning","National Research University Higher School of Economics","Advanced",43.8,4.47,"https://www.coursera.org/learn/bayesian-methods-in-machine-learning","People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. \\nWhen applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money.\\nIn six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. We will see how one can automate this workflow and how to speed it up using some advanced techniques. \\nWe will also see applications of Bayesian methods to deep learning and how to generate new images with it. We will see how new drugs that cure severe diseases be found with Bayesian methods.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","mathematical optimization; bayesian; variational bayesian methods; gaussian process; chaining; markov chain; inference; markov chain monte carlo; bayesian optimization; bayesian inference","Advanced Machine Learning",3.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[21.8,67.7]","Korean","English","data-science","machine-learning","anas83IDEeenOwpmZ1LH1g"]
["Machine Learning","Computer Vision","Introduction to Deep Learning","National Research University Higher School of Economics","Advanced",41.5,4.45,"https://www.coursera.org/learn/intro-to-deep-learning","The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. \\nLearners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.\\n\\nThe prerequisites for this course are: \\n1) Basic knowledge of Python.\\n2) Basic linear algebra and probability.\\n\\nPlease note that this is an advanced course and we assume basic knowledge of machine learning. You should understand:\\n1) Linear regression: mean squared error, analytical solution.\\n2) Logistic regression: model, cross-entropy loss, class probability estimation.\\n3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions.\\n4) The problem of overfitting.\\n5) Regularization for linear models.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","keras; artificial neural network; deep learning; learning; tensorflow; mathematical optimization; machine learning; recurrent neural network; convolutional neural network; autoencoder","Advanced Machine Learning",1.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[23.9,67.6]","Korean","English","data-science","machine-learning","pNXe13ICEeeBKg4MjLYj6A"]
["Machine Learning","Computer Vision","How to Win a Data Science Competition: Learn from Top Kagglers","National Research University Higher School of Economics","Advanced",57.2,4.4,"https://www.coursera.org/learn/competitive-data-science","If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.\\n\\nIn this course, you will learn to analyse and solve competitively such predictive modelling tasks. \\n\\nWhen you finish this class, you will:\\n\\n- Understand how to solve predictive modelling competitions efficiently and learn which of the skills obtained can be applicable to real-world tasks.\\n- Learn how to preprocess the data and generate new features from various sources such as text and images.\\n- Be taught advanced feature engineering techniques like generating mean-encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions.\\n- Be able to form reliable cross validation methodologies that help you benchmark your solutions and avoid overfitting or underfitting when tested with unobserved (test) data. \\n- Gain experience of analysing and interpreting the data. You will become aware of inconsistencies, high noise levels, errors and other data-related issues such as leakages and you will learn how to overcome them. \\n- Acquire knowledge of different algorithms and learn how to efficiently tune their hyperparameters and achieve top performance. \\n- Master the art of combining different machine learning models and learn how to ensemble. \\n- Get exposed to past (winning) solutions and codes and learn how to read them.\\n\\nDisclaimer : This is not a machine learning course in the general sense. This course will teach you how to get high-rank solutions against thousands of competitors with focus on practical usage of machine learning methods rather than the theoretical underpinnings behind them.\\n\\nPrerequisites: \\n- Python: work with DataFrames in pandas, plot figures in matplotlib, import and train models from scikit-learn, XGBoost, LightGBM.\\n- Machine Learning: basic understanding of linear models, K-NN, random forest, gradient boosting and neural networks.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","learning; mathematical optimization; preprocessor; data analysis; feature extraction; hyperparameter; analysis; data breaches; machine learning; feature engineering","Advanced Machine Learning",2.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[27.6,91]","Korean","English","data-science","data-analysis","Mz1ninIDEeeWCg71xNIlJg"]
["Machine Learning","Computer Vision","Addressing Large Hadron Collider Challenges by Machine Learning","National Research University Higher School of Economics","Advanced",15.5,4.55,"https://www.coursera.org/learn/hadron-collider-machine-learning","The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","advanced machine learning; Data Science; bayesian optimization; data analysis; machine learning; flow network; computer vision; data segment; quake army knife; deep learning","Advanced Machine Learning",7.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[7.8,23.1]","Korean","English","computer-science","algorithms","T4sR76ljEeeF1RLK9c5stA"]
["Machine Learning","Deep Learning","Deep Learning for Business","Yonsei University","Beginner",10.2,4.31,"https://www.coursera.org/learn/deep-learning-business","Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.","artificial intelligence; tensorflow; project; deep learning; enabling; learning; software; artificial neural network; machine learning; data analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.6,14.2]","Spanish; Romanian; Korean","English","business","business-strategy","oWe5cmU5EeeGgwo-Z1z46A"]
["Machine Learning","Deep Learning","Introduction to Deep Learning","National Research University Higher School of Economics","Advanced",41.5,4.45,"https://www.coursera.org/learn/intro-to-deep-learning","The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. \\nLearners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.\\n\\nThe prerequisites for this course are: \\n1) Basic knowledge of Python.\\n2) Basic linear algebra and probability.\\n\\nPlease note that this is an advanced course and we assume basic knowledge of machine learning. You should understand:\\n1) Linear regression: mean squared error, analytical solution.\\n2) Logistic regression: model, cross-entropy loss, class probability estimation.\\n3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions.\\n4) The problem of overfitting.\\n5) Regularization for linear models.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","keras; artificial neural network; deep learning; learning; tensorflow; mathematical optimization; machine learning; recurrent neural network; convolutional neural network; autoencoder","Advanced Machine Learning",1.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[23.9,67.6]","Korean","English","data-science","machine-learning","pNXe13ICEeeBKg4MjLYj6A"]
["Machine Learning","Deep Learning","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Machine Learning","Deep Learning","Applied AI with DeepLearning","IBM","Advanced",30.9,4.25,"https://www.coursera.org/learn/ai",">>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ.  Once enrolled you can access the license in the Resources area <<<\\n\\nThis course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs.\\n\\nIMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE \"IBM Watson IoT Certified Data Scientist certificate\". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018\\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nPrerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  To find out more about IBM digital badges follow the link ibm.biz/badging.","keras; long short-term memory; apache spark; deeplearning4j; tensorflow; deep learning; python programming; pytorch; artificial neural network; learning","Advanced Data Science with IBM",3.0,"https://www.coursera.org/specializations/advanced-data-science-ibm","As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.\\n\\nIf you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.","[11.4,50.9]","[NULL]","English","data-science","machine-learning","tE4j0qhMEeecqgpT6QjMdA"]
["Machine Learning","Deep Learning","Introduction to Deep Learning & Neural Networks with Keras","IBM","Intermediate",8.7,4.69,"https://www.coursera.org/learn/introduction-to-deep-learning-with-keras","Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.\\n\\nAfter completing this course, learners will be able to:\\n•\\tdescribe what a neural network is, what a deep learning model is, and the difference between them.\\n•\\tdemonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.\\n•\\tdemonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.\\n•\\tbuild deep learning models and networks using the Keras library.","deep learning; learning; pytorch; Data Science; artificial intelligence; machine learning; keras; tensorflow; python programming; artificial neural network","IBM AI Engineering",3.0,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[4.3,10.8]","[NULL]","English","data-science","machine-learning","fJCXLJkeEeml5wpuotDEDA"]
["Machine Learning","Deep Learning","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","analysis; deep learning; error; multi-task learning; type i and type ii errors; computer multitasking; approximation error; project; learning; machine learning","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[4.5,8]","Chinese; Turkish; Korean; Spanish","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["Machine Learning","Deep Learning","Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization","deeplearning.ai","Beginner",14.2,4.87,"https://www.coursera.org/learn/deep-neural-network","This course will teach you the \"magic\" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. \\n\\nAfter 3 weeks, you will: \\n- Understand industry best-practices for building deep learning applications. \\n- Be able to effectively use the common neural network \"tricks\", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, \\n- Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. \\n- Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance\\n- Be able to implement a neural network in TensorFlow. \\n\\nThis is the second course of the Deep Learning Specialization.","tensorflow; learning; hyperparameter; gradient; deep learning; mathematical optimization; softmax function; artificial neural network; hyperparameter optimization; euler's totient function","Deep Learning",2.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[9.6,16.3]","Chinese; Turkish; Korean; Spanish","English","data-science","machine-learning","BZ5quSvBEee6gA5XksfBbg"]
["Machine Learning","Deep Learning","Convolutional Neural Networks","deeplearning.ai","Beginner",20.5,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","convolutional neural network; object detection; learning; facial recognition system; detection; computer vision; face recognition; tensorflow; keras; artificial neural network","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[13.7,23.6]","Chinese; Korean; Turkish; Japanese; Spanish","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["Machine Learning","Deep Learning","Sequence Models","deeplearning.ai","Beginner",17.1,4.77,"https://www.coursera.org/learn/nlp-sequence-models","This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. \\n\\nYou will:\\n- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.\\n- Be able to apply sequence models to natural language problems, including text synthesis. \\n- Be able to apply sequence models to audio applications, including speech recognition and music synthesis.\\n\\nThis is the fifth and final course of the Deep Learning Specialization.\\n\\ndeeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content.","deep learning; natural language processing; long short-term memory; term (time); modeling; recurrent neural network; speech; artificial neural network; memory; language","Deep Learning",5.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.3,20]","Spanish; Chinese; Korean","English","data-science","machine-learning","25Fh8ivBEee6gA5XksfBbg"]
["Machine Learning","Deep Learning","Fundamentals of Reinforcement Learning","University of Alberta","Beginner",17.9,4.62,"https://www.coursera.org/learn/fundamentals-of-reinforcement-learning","Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. \\n\\nThis course introduces you to the fundamentals of Reinforcement Learning. When you finish this course, you will:\\n- Formalize problems as Markov Decision Processes \\n- Understand basic exploration methods and the exploration/exploitation tradeoff\\n- Understand value functions, as a general-purpose tool for optimal decision-making\\n- Know how to implement dynamic programming as an efficient solution approach to an industrial control problem\\n\\nThis course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP. \\n\\nThis is the first course of the Reinforcement Learning Specialization.","process; markov decision process; reinforcement learning; iteration; dynamic programming; reinforcement; decision-making; computer programming; bellman equation; multi-armed bandit","Reinforcement Learning",1.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[12,21.4]","[NULL]","English","data-science","machine-learning","qDmY1BRlEemltgqXz7ze5A"]
["Machine Learning","Deep Learning","Sample-based Learning Methods","University of Alberta","Intermediate",17.6,4.69,"https://www.coursera.org/learn/sample-based-learning-methods","In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning.\\n\\nBy the end of this course you will be able to:\\n \\n- Understand Temporal-Difference learning and Monte Carlo as two strategies for estimating value functions from sampled experience\\n- Understand the importance of exploration, when using sampled experience rather than dynamic programming sweeps within a model\\n- Understand the connections between Monte Carlo and Dynamic Programming and TD. \\n- Implement and apply the TD algorithm, for estimating value functions\\n- Implement and apply Expected Sarsa and Q-learning (two TD methods for control) \\n- Understand the difference between on-policy and off-policy control\\n- Understand planning with simulated experience (as opposed to classic planning strategies)\\n- Implement a model-based approach to RL, called Dyna, which uses simulated experience \\n- Conduct an empirical study to see the improvements in sample efficiency when using Dyna","learning; q-learning; algorithms; reinforcement; iteration; relative change and difference; temporal difference learning; computer programming; reinforcement learning; monte carlo method","Reinforcement Learning",2.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[11.1,20.9]","[NULL]","English","data-science","machine-learning","v0W2MBRlEemy7g7qbc8Igg"]
["Machine Learning","Deep Learning","Prediction and Control with Function Approximation","University of Alberta","Intermediate",17.5,4.81,"https://www.coursera.org/learn/prediction-control-function-approximation","In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. We will begin this journey by investigating how our policy evaluation or prediction methods like Monte Carlo and TD can be extended to the function approximation setting. You will learn about feature construction techniques for RL, and representation learning via neural networks and backprop. We conclude this course with a deep-dive into policy gradient methods; a way to learn policies directly without learning a value function. In this course you will solve two continuous-state control tasks and investigate the benefits of policy gradient methods in a continuous-action environment. \\n\\nPrerequisites: This course strongly builds on the fundamentals of Courses 1 and 2, and learners should have completed these before starting this course.  Learners should also be comfortable with probabilities & expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), and  implementing algorithms from pseudocode.\\n\\nBy the end of this course, you will be able to: \\n\\n-Understand how to use supervised learning approaches to approximate value functions\\n-Understand objectives for prediction (value estimation) under function approximation\\n-Implement TD with function approximation (state aggregation), on an environment with an infinite state space (continuous state space)\\n-Understand fixed basis and neural network approaches to feature construction \\n-Implement TD with neural network function approximation in a continuous state environment\\n-Understand new difficulties in exploration when moving to function approximation\\n-Contrast discounted problem formulations for control versus an average reward problem formulation\\n-Implement expected Sarsa and Q-learning with function approximation on a continuous state control task\\n-Understand objectives for directly estimating policies (policy gradient objectives)\\n-Implement a policy gradient method (called Actor-Critic) on a discrete state environment","function approximation; approximation; euler's totient function; gradient; reinforcement learning; table of keyboard shortcuts; reinforcement; artificial neural network; bellman equation; estimation","Reinforcement Learning",3.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[12,21.8]","[NULL]","English","data-science","machine-learning","1qEFFhRlEemnrArl4L3rfA"]
["Machine Learning","Deep Learning","A Complete Reinforcement Learning System (Capstone)","University of Alberta","Intermediate",7.7,4.52,"https://www.coursera.org/learn/complete-reinforcement-learning-system","In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms. This capstone is valuable for anyone who is planning on using RL to solve real problems.\\n\\nTo be successful in this course, you will need to have completed Courses 1, 2, and 3 of this Specialization or the equivalent.\\n\\nBy the end of this course, you will be able to: \\n\\nComplete an RL solution to a problem, starting from problem formulation, appropriate algorithm selection and implementation and empirical study into the effectiveness of the solution.","c process control; reinforcement; algorithms; arrays; 4dos; integration testing; reinforcement learning; q-learning; artificial neural network; euler's totient function","Reinforcement Learning",4.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[4.7,10]","[NULL]","English","data-science","machine-learning","7X05WBRlEemrCQp4aaz7yg"]
["Machine Learning","Dimensionality Reduction","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Machine Learning","Dimensionality Reduction","Introduction to Big Data","University of California San Diego","Beginner",17.3,4.54,"https://www.coursera.org/learn/big-data-introduction","Interested in increasing your knowledge of the Big Data landscape?  This course is for those new to data science and interested in understanding why the Big Data Era has come to be.  It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.  It is for those who want to start thinking about how Big Data might be useful in their business or career.  It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!\\n\\nAt the end of this course, you will be able to:\\n\\n* Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. \\n\\n* Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.\\n\\n* Get value out of Big Data by using a 5-step process to structure your analysis. \\n\\n* Identify what are and what are not big data problems and be able to recast big data problems as data science questions.\\n\\n* Provide an explanation of the architectural components and programming models used for scalable big data analysis.\\n\\n* Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.\\n\\n* Install and run a program using Hadoop!\\n\\nThis course is for those new to data science.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  \\n\\nHardware Requirements:\\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.  \\n\\nSoftware Requirements:\\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","apache hadoop; integration testing; big data; data uri scheme; data analysis; analytics; cloudera; big data analytics; data segment; mapreduce","Big Data",1.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[10,26.3]","Persian; Arabic; Korean; Hindi","English","data-science","data-analysis","6nKPTBHoEea7axIlQHzY1Q"]
["Machine Learning","Dimensionality Reduction","Applied Machine Learning in Python","University of Michigan","Advanced",23.1,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","evaluation; supervised learning; computer programming; learning; machine learning algorithms; machine learning; machine learning concepts; scikit-learn; python programming; algorithms","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.5,31.8]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["Machine Learning","Dimensionality Reduction","Art and Science of Machine Learning","Google Cloud","Beginner",25.7,4.57,"https://www.coursera.org/learn/art-science-ml","Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance.  \\n\\nIn this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform.","hyperparameter; tensorflow; cloud computing; keras; cloud platforms; google cloud platform; learning; google; estimator; machine learning","Machine Learning with TensorFlow on Google Cloud Platform",5.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[8.1,38.8]","German; Portuguese; French; Japanese; Spanish","English","data-science","machine-learning","OJlYSUgFEeiRoQ52x8gP0g"]
["Machine Learning","Dimensionality Reduction","AI Workflow: Feature Engineering and Bias Detection","IBM","Advanced",4.0,4.7,"https://www.coursera.org/learn/ibm-ai-workflow-feature-engineering-bias-detection","This is the third course in the IBM AI Enterprise Workflow Certification specialization.    You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones.  \\n\\nCourse 3 introduces you to the next stage of the workflow for our hypothetical media company.  In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the data.  Class imbalances can seriously affect the validity of your machine learning models, and the mitigation of bias in data is essential to reducing the risk associated with biased models.  These topics will be followed by sections on best practices for dimension reduction, outlier detection, and unsupervised learning techniques for finding patterns in your data.  The case studies will focus on topic modeling and data visualization.\\n \\nBy the end of this course you will be able to:\\n1.  Employ the tools that help address class and class imbalance issues\\n2.  Explain the ethical considerations regarding bias in data\\n3.  Employ ai Fairness 360 open source libraries to detect bias in models\\n4.  Employ dimension reduction techniques for both EDA and transformations stages\\n5.  Describe topic modeling techniques in natural language processing\\n6.  Use topic modeling and visualization to explore text data\\n7.  Employ outlier handling best practices in high dimension data\\n8.  Employ outlier detection algorithms as a quality assurance tool and a modeling tool\\n9.  Employ unsupervised learning techniques using pipelines as part of the AI workflow\\n10.  Employ basic clustering algorithms\\n \\nWho should take this course?\\nThis course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.\\n \\nWhat skills should you have?\\nIt is assumed that you have completed Courses 1 and 2 of the IBM AI Enterprise Workflow specialization and you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.","statistical algorithms; computational statistics; knowledge engineering; knowledge acquisition; dimensionality reduction; python programming; feature engineering; bias; modeling and simulation; critical appraisal","IBM AI Enterprise Workflow",3.0,"https://www.coursera.org/specializations/ibm-ai-workflow","This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company.\\n\\nThroughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.","[1.6,5.3]","[NULL]","English","data-science","machine-learning","f7HCZtZOEemDkAqyZy15Hg"]
["Machine Learning","Feature Engineering","Data Processing and Feature Engineering with MATLAB","MathWorks","Advanced",24.9,4.67,"https://www.coursera.org/learn/feature-engineering-matlab","In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling.  This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.  \\n\\nThese skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB. \\n\\nThroughout the course, you will merge data from different data sets and handle common scenarios, such as missing data.  In the last module of the course, you will explore special techniques for handling textual, audio, and image data, which are common in data science and more advanced modeling.   By the end of this course, you will learn how to visualize your data, clean it up and arrange it for analysis, and identify the qualities necessary to answer your questions.  You will be able to visualize the distribution of your data and use visual inspection to address artifacts that affect accurate modeling.","dissemination; visual arts; art; feature engineering; matlab; cleaning; principle; supervision; variance; learning","Practical Data Science with MATLAB",2.0,"https://www.coursera.org/specializations/practical-data-science-matlab","Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?\\n\\nCompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.\\n\\nThis specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).\\n\\nThroughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.","[16.3,30.1]","[NULL]","English","data-science","data-analysis","EG0zX1veEemnlhJQeL1nOg"]
["Machine Learning","Feature Engineering","Feature Engineering","Google Cloud","Intermediate",24.6,4.4,"https://www.coursera.org/learn/feature-engineering","Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how you can preprocess and transform them for optimal use in your machine learning models.\\n\\nIn this course you will get hands-on practice choosing features and preprocessing them inside of Google Cloud Platform with interactive labs. Our instructors will walk you through the code solutions which will also be made public for your reference as you work on your own future data science projects.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; dataflow; beam robotics; feature engineering; apache beam; cloud platforms; cloud computing; c-ross; google cloud platform; tensorflow","Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[8,35]","Japanese; French; Portuguese; German; Spanish","English","data-science","machine-learning","cS_C5UgCEeimMA5aS6rd2g"]
["Machine Learning","Feature Engineering","How to Win a Data Science Competition: Learn from Top Kagglers","National Research University Higher School of Economics","Advanced",57.2,4.4,"https://www.coursera.org/learn/competitive-data-science","If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.\\n\\nIn this course, you will learn to analyse and solve competitively such predictive modelling tasks. \\n\\nWhen you finish this class, you will:\\n\\n- Understand how to solve predictive modelling competitions efficiently and learn which of the skills obtained can be applicable to real-world tasks.\\n- Learn how to preprocess the data and generate new features from various sources such as text and images.\\n- Be taught advanced feature engineering techniques like generating mean-encodings, using aggregated statistical measures or finding nearest neighbors as a means to improve your predictions.\\n- Be able to form reliable cross validation methodologies that help you benchmark your solutions and avoid overfitting or underfitting when tested with unobserved (test) data. \\n- Gain experience of analysing and interpreting the data. You will become aware of inconsistencies, high noise levels, errors and other data-related issues such as leakages and you will learn how to overcome them. \\n- Acquire knowledge of different algorithms and learn how to efficiently tune their hyperparameters and achieve top performance. \\n- Master the art of combining different machine learning models and learn how to ensemble. \\n- Get exposed to past (winning) solutions and codes and learn how to read them.\\n\\nDisclaimer : This is not a machine learning course in the general sense. This course will teach you how to get high-rank solutions against thousands of competitors with focus on practical usage of machine learning methods rather than the theoretical underpinnings behind them.\\n\\nPrerequisites: \\n- Python: work with DataFrames in pandas, plot figures in matplotlib, import and train models from scikit-learn, XGBoost, LightGBM.\\n- Machine Learning: basic understanding of linear models, K-NN, random forest, gradient boosting and neural networks.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","learning; mathematical optimization; preprocessor; data analysis; feature extraction; hyperparameter; analysis; data breaches; machine learning; feature engineering","Advanced Machine Learning",2.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[27.6,91]","Korean","English","data-science","data-analysis","Mz1ninIDEeeWCg71xNIlJg"]
["Machine Learning","Feature Engineering","Advanced Machine Learning and Signal Processing","IBM","Advanced",41.9,4.42,"https://www.coursera.org/learn/advanced-machine-learning-signal-processing",">>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ.  Once enrolled you can access the license in the Resources area <<<\\n\\nThis course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. SparkML is making up the greatest portion of this course since scalability is key to address performance bottlenecks. We learn how to tune the models in parallel by evaluating hundreds of different parameter-combinations in parallel. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. For passing the course you are even required to create your own vibration sensor data using the accelerometer sensors in your smartphone. So you are actually working on a self-created, real dataset throughout the course.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  To find out more about IBM digital badges follow the link ibm.biz/badging.","machine learning; wavelet transform; machine learning algorithms; process; apache spark; signal processing; algorithms; wavelets; feature engineering; learning","Advanced Data Science with IBM",2.0,"https://www.coursera.org/specializations/advanced-data-science-ibm","As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.\\n\\nIf you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.","[11.8,73.4]","[NULL]","English","data-science","machine-learning","f_F-qCtuEei_fRLwaVDk3g"]
["Machine Learning","Feature Engineering","Art and Science of Machine Learning","Google Cloud","Beginner",25.7,4.57,"https://www.coursera.org/learn/art-science-ml","Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance.  \\n\\nIn this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform.","hyperparameter; tensorflow; cloud computing; keras; cloud platforms; google cloud platform; learning; google; estimator; machine learning","Machine Learning with TensorFlow on Google Cloud Platform",5.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[8.1,38.8]","German; Portuguese; French; Japanese; Spanish","English","data-science","machine-learning","OJlYSUgFEeiRoQ52x8gP0g"]
["Machine Learning","Feature Engineering","Applied Machine Learning in Python","University of Michigan","Advanced",23.1,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","evaluation; supervised learning; computer programming; learning; machine learning algorithms; machine learning; machine learning concepts; scikit-learn; python programming; algorithms","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.5,31.8]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["Machine Learning","Feature Engineering","Launching into Machine Learning","Google Cloud","Beginner",10.6,4.59,"https://www.coursera.org/learn/launching-machine-learning","Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation.\\n\\nCourse Objectives:\\nIdentify why deep learning is currently popular\\nOptimize and evaluate models using loss functions and performance metrics\\nMitigate common problems that arise in machine learning\\nCreate repeatable and scalable training, evaluation, and test datasets","data uri scheme; bigquery; data cleansing; tensorflow; data segment; learning; preprocessor; machine learning concepts; data pre-processing; machine learning","Machine Learning with TensorFlow on Google Cloud Platform",2.0,"https://www.coursera.org/specializations/machine-learning-tensorflow-gcp","What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.\\n\\n> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <","[4.3,15.6]","French; Japanese; German; Spanish; Portuguese","English","data-science","machine-learning","lTAKbxf1EeiB7BJMyhcJoA"]
["Machine Learning","Machine Learning Algorithms","Machine Learning Using SAS Viya","SAS","Advanced",26.1,4.52,"https://www.coursera.org/learn/machine-learning-sas","This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems. \\n\\nThis course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding.","predictive modelling; data segment; algorithms; supervision; data clustering algorithms; recursive partitioning; machine learning; learning; analysis; supply chain","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,28.9]","[NULL]","English","data-science","machine-learning","QQWDNDR8EemuNhJSdKP02A"]
["Machine Learning","Machine Learning Algorithms","Machine Learning with Python","IBM","Beginner",17.5,4.64,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.","statistical classification; data clustering algorithms; algorithms; computer programming; python programming; supply chain; machine learning algorithms; classification algorithms; machine learning; learning","IBM AI Engineering",1.0,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[8.3,21.5]","[NULL]","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["Machine Learning","Machine Learning Algorithms","Practical Machine Learning","Johns Hopkins University","Beginner",13.4,4.37,"https://www.coursera.org/learn/practical-machine-learning","One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.","environment variable; forest; machine learning; algorithms; modeling; machine learning algorithms; randomness; learning; predictive modelling; random forest","Data Science: Statistics and Machine Learning",3.0,"https://www.coursera.org/specializations/data-science-statistics-machine-learning","Build models, make inferences, and deliver interactive data products.\\n\\nThis specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.\\n\\nThe five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.","[7.9,17.3]","Korean","English","data-science","machine-learning","H02KsW1DEeWXrA6ju0fvnQ"]
["Machine Learning","Machine Learning Algorithms","Advanced Machine Learning and Signal Processing","IBM","Advanced",41.9,4.42,"https://www.coursera.org/learn/advanced-machine-learning-signal-processing",">>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ.  Once enrolled you can access the license in the Resources area <<<\\n\\nThis course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML. SparkML is making up the greatest portion of this course since scalability is key to address performance bottlenecks. We learn how to tune the models in parallel by evaluating hundreds of different parameter-combinations in parallel. We’ll continuously use a real-life example from IoT (Internet of Things), for exemplifying the different algorithms. For passing the course you are even required to create your own vibration sensor data using the accelerometer sensors in your smartphone. So you are actually working on a self-created, real dataset throughout the course.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  To find out more about IBM digital badges follow the link ibm.biz/badging.","machine learning; wavelet transform; machine learning algorithms; process; apache spark; signal processing; algorithms; wavelets; feature engineering; learning","Advanced Data Science with IBM",2.0,"https://www.coursera.org/specializations/advanced-data-science-ibm","As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.\\n\\nIf you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.","[11.8,73.4]","[NULL]","English","data-science","machine-learning","f_F-qCtuEei_fRLwaVDk3g"]
["Machine Learning","Machine Learning Algorithms","Machine Learning for Business Professionals","Google Cloud","Intermediate",19.5,4.56,"https://www.coursera.org/learn/machine-learning-business-professionals","This course is intended to be an introduction to machine learning for non-technical business professionals. There is a lot of hype around machine learning and many people are concerned that in order to use machine learning in business, you need to have a technical background. For reasons that are covered in this course, that's not the case. In actuality, your knowledge of your business is far more important than your ability to build an ML model from scratch.\\n\\nBy the end of this course, you will have learned how to:\\n• Formulate machine learning solutions to real-world problems\\n• Identify whether the data you have is sufficient for ML\\n• Carry a project through various ML phases including training, evaluation, and deployment\\n• Perform AI responsibly and avoid reinforcing existing bias\\n• Discover ML use cases\\n• Be successful at ML\\n\\nYou'll need a desktop web browser to run this course's interactive labs via Qwiklabs and Google Cloud Platform.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","algorithms; artificial intelligence; data governance; cloud computing; learning; genetic algorithms; calculus; cloud platforms; machine learning; google","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.4,32.1]","[NULL]","English","data-science","machine-learning","oevpufy2Eeio4BIihiZW_g"]
["Machine Learning","Machine Learning Algorithms","Applied Machine Learning in Python","University of Michigan","Advanced",23.1,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","evaluation; supervised learning; computer programming; learning; machine learning algorithms; machine learning; machine learning concepts; scikit-learn; python programming; algorithms","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.5,31.8]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["Machine Learning","Machine Learning Algorithms","Machine Learning With Big Data","University of California San Diego","Beginner",25.5,4.51,"https://www.coursera.org/learn/big-data-machine-learning","Want to make sense of the volumes of data you have collected?  Need to incorporate data-driven decisions into your process?  This course provides an overview of machine learning techniques to explore, analyze, and leverage data.  You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.\\n\\nAt the end of the course, you will be able to:\\n•\\tDesign an approach to leverage data using the steps in the machine learning process.\\n•\\tApply machine learning techniques to explore and prepare data for modeling.\\n•\\tIdentify the type of machine learning problem in order to apply the appropriate set of techniques.\\n•\\tConstruct models that learn from data using widely available open source tools.\\n•\\tAnalyze big data problems using scalable machine learning algorithms on Spark.\\n\\nSoftware Requirements: \\nCloudera VM, KNIME, Spark","knime; apache spark; analysis; learning; data clustering algorithms; machine learning concepts; machine learning; statistical classification; cluster analysis; algorithms","Big Data",4.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.3,43.9]","Korean; Chinese","English","data-science","machine-learning","loAmvxJgEea8fxLSgUgxeQ"]
["Machine Learning","Machine Learning Algorithms","Machine Learning: Classification","University of Washington","Beginner",39.5,4.68,"https://www.coursera.org/learn/ml-classification","Case Studies: Analyzing Sentiment & Loan Default Prediction\\n\\nIn our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...).  In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. \\n\\nIn this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.  You will become familiar with  the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.  In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent.  You will implement these technique on real-world, large-scale machine learning tasks.  You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier.  This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data.  We've also included optional content in every module, covering advanced topics for those who want to go even deeper! \\n\\nLearning Objectives: By the end of this course, you will be able to:\\n   -Describe the input and output of a classification model.\\n   -Tackle both binary and multiclass classification problems.\\n   -Implement a logistic regression model for large-scale classification.  \\n   -Create a non-linear model using decision trees.\\n   -Improve the performance of any model using boosting.\\n   -Scale your methods with stochastic gradient ascent.\\n   -Describe the underlying decision boundaries.  \\n   -Build a classification model to predict sentiment in a product review dataset.  \\n   -Analyze financial data to predict loan defaults.\\n   -Use techniques for handling missing data.\\n   -Evaluate your models using precision-recall metrics.\\n   -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).","algorithms; classification algorithms; statistical classification; gradient descent; decision tree; stochastic; learning; machine learning; gradient; logistic regression","Machine Learning",3.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[19.2,53.5]","Korean; Arabic","English","data-science","machine-learning","3c1bSkIJEeWpogr5ZO8qxQ"]
["Machine Learning","Machine Learning Algorithms","Machine Learning Foundations: A Case Study Approach","University of Washington","Beginner",27.8,4.56,"https://www.coursera.org/learn/ml-foundations","Do you have data and wonder what it can tell you?  Do you need a deeper understanding of the core ways in which machine learning can improve your business?  Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?\\n\\nIn this course, you will get hands-on experience with machine learning from a series of practical case-studies.  At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.  Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains.\\n\\nThis first course treats the machine learning method as a black box.  Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms.  Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Identify potential applications of machine learning in practice.  \\n   -Describe the core differences in analyses enabled by regression, classification, and clustering.\\n   -Select the appropriate machine learning task for a potential application.  \\n   -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning.\\n   -Represent your data as features to serve as input to machine learning models. \\n   -Assess the model quality in terms of relevant error metrics for each task.\\n   -Utilize a dataset to fit a model to analyze new data.\\n   -Build an end-to-end application that uses machine learning at its core.  \\n   -Implement these techniques in Python.","graphlab; statistical classification; deep learning; algorithms; machine learning concepts; machine learning; learning; python programming; analysis; computer programming","Machine Learning",1.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[16,40.1]","Korean; Vietnamese; Chinese","English","data-science","machine-learning","qi9mnkIJEeWC4g7VhG4bTQ"]
["Machine Learning","Machine Learning Algorithms","Introduction to Machine Learning","Duke University","Beginner",15.0,4.59,"https://www.coursera.org/learn/machine-learning-duke","This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with TensorFlow, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).","supply chain; artificial neural network; convolutional neural network; perceptron; machine learning; learning; logistic regression; multilayer perceptron; reinforcement learning; natural language processing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.9]","[NULL]","English","data-science","machine-learning","8BJHzZD_EeiKohJBs5wRGA"]
["Machine Learning","Machine Learning Software","Process Mining: Data science in Action","Eindhoven University of Technology","Beginner",29.9,4.78,"https://www.coursera.org/learn/process-mining","Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.\\n\\nData science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining seeks the confrontation between event data (i.e., observed behavior) and process models (hand-made or discovered automatically). This technology has become available only recently, but it can be applied to any type of operational processes (organizations and systems). Example applications include: analyzing treatment processes in hospitals, improving customer service processes in a multinational, understanding the browsing behavior of customers using booking site, analyzing failures of a baggage handling system, and improving the user interface of an X-ray machine. All of these applications have in common that dynamic behavior needs to be related to process models. Hence, we refer to this as \"data science in action\".\\n\\nThe course explains the key analysis techniques in process mining. Participants will learn various process discovery algorithms. These can be used to automatically learn process models from raw event data. Various other process analysis techniques that use event data will be presented. Moreover, the course will provide easy-to-use software, real-life data sets, and practical skills to directly apply the theory in a variety of application domains.\\n\\nThis course starts with an overview of approaches and technologies that use event data to support decision making and business process (re)design. Then the course focuses on process mining as a bridge between data mining and business process modeling. The course is at an introductory level with various practical assignments.\\n\\nThe course covers the three main types of process mining.\\n\\n1. The first type of process mining is discovery. A discovery technique takes an event log and produces a process model without using any a-priori information. An example is the Alpha-algorithm that takes an event log and produces a process model (a Petri net) explaining the behavior recorded in the log.\\n\\n2. The second type of process mining is conformance. Here, an existing process model is compared with an event log of the same process. Conformance checking can be used to check if reality, as recorded in the log, conforms to the model and vice versa.\\n\\n3. The third type of process mining is enhancement. Here, the idea is to extend or improve an existing process model using information about the actual process recorded in some event log. Whereas conformance checking measures the alignment between model and reality, this third type of process mining aims at changing or extending the a-priori model. An example is the extension of a process model with performance information, e.g., showing bottlenecks. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non-conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case the remaining processing time is estimated based on historic information of similar cases.\\n\\nProcess mining provides not only a bridge between data mining and business process management; it also helps to address the classical divide between \"business\" and \"IT\". Evidence-based business process management based on process mining helps to create a common ground for business process improvement and information systems development.\\n\\nThe course uses many examples using real-life event logs to illustrate the concepts and algorithms. After taking this course, one is able to run process mining projects and have a good understanding of the Business Process Intelligence field.\\n\\nAfter taking this course you should:\\n- have a good understanding of Business Process Intelligence techniques (in particular process mining),\\n- understand the role of Big Data in today’s society,\\n- be able to relate process mining techniques to other analysis techniques such as simulation, business intelligence, data mining, machine learning, and verification,\\n- be able to apply basic process discovery techniques to learn a process model from an event log (both manually and using tools),\\n- be able to apply basic conformance checking techniques to compare event logs and process models (both manually and using tools),\\n- be able to extend a process model with information extracted from the event log (e.g., show bottlenecks),\\n- have a good understanding of the data needed to start a process mining project,\\n- be able to characterize the questions that can be answered based on such event data,\\n- explain how process mining can also be used for operational support (prediction and recommendation), and\\n- be able to conduct process mining projects in a structured manner.","algorithms; process modeling; petri net; netting; data uri scheme; process; data segment; data mining; conformance checking; process mining","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.1,36.9]","[NULL]","English","data-science","data-analysis","SN5tm_tBEeScRyIAC3-PxA"]
["Machine Learning","Machine Learning Software","The Data Scientist’s Toolbox","Johns Hopkins University","Beginner",8.1,4.51,"https://www.coursera.org/learn/data-scientists-tools","In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.","data uri scheme; command-line interface; Data Science; analysis; github; r programming; rstudio; data analysis; computer programming; software","Data Science: Foundations using R",1.0,"https://www.coursera.org/specializations/data-science-foundations-r","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.","[5.3,12.2]","Korean","English","data-science","data-analysis","iSxVEG07EeW3YxLB1q9I2w"]
["Machine Learning","Markov Model","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Machine Learning","Markov Model","Finding Mutations in DNA and Proteins (Bioinformatics VI)","University of California San Diego","Advanced",21.9,4.59,"https://www.coursera.org/learn/dna-mutations","In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.\\n\\nIn the first half of the course, we would like to ask how an individual's genome differs from the \"reference genome\" of the species. Our goal is to take small fragments of DNA from the individual and \"map\" them to the reference genome.  We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory.\\n\\nIn the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.  This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it.  The approach we will use is based on a powerful machine learning tool called a hidden Markov model.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins.","modeling; bioinformatics; suffix array; suffix tree; biology; envelope glycoprotein gp120; computational biology; DNA; covariance matrix; genomics","Bioinformatics",6.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11.9,31.7]","[NULL]","English","life-sciences","health-informatics","M5IS7Pw3EeW3kAo3Iffzfw"]
["Machine Learning","Natural Language Processing","Natural Language Processing in TensorFlow","deeplearning.ai","Beginner",8.9,4.51,"https://www.coursera.org/learn/natural-language-processing-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","keras; natural language processing; p′′; natural language generation; natural language; long short-term memory; tensorflow; omega language; generation; language","TensorFlow in Practice",3.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[4.2,11]","Korean","English","data-science","machine-learning","eWdF_oGHEemfwRIsGCa-_A"]
["Machine Learning","Natural Language Processing","Sequence Models for Time Series and Natural Language Processing","Google Cloud","Advanced",32.8,4.27,"https://www.coursera.org/learn/sequence-models-tensorflow-gcp","This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.\\n\\n• Predict future values of a time-series\\n• Classify free form text\\n• Address time-series and text problems with recurrent neural networks\\n• Choose between RNNs/LSTMs and simpler models\\n• Train and reuse word embeddings in text problems\\n\\nYou will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","natural language processing; p′′; long short-term memory; document classification; integration testing; time series; tensorflow; natural language; artificial neural network; statistical classification","Advanced Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[8.5,49.1]","[NULL]","English","data-science","machine-learning","7sNP37xrEeiL4Q6DgrZ6DA"]
["Machine Learning","Natural Language Processing","Data Science in Stratified Healthcare and Precision Medicine","The University of Edinburgh","Intermediate",17.3,4.66,"https://www.coursera.org/learn/datascimed","An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. \\n\\nIn this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.  You will have a hands-on experience of working with such data.  And you will learn from leaders in the field about successful case studies. \\n\\nTopics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data.\\n\\nWatch the course promo video here: http://edin.ac/2pn350P","python programming; computer programming; precision medicine; medical imaging; learning; medicine; medical statistics; analysis; natural language processing; machine learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.2,26.5]","[NULL]","English","data-science","data-analysis","AhAxVZPHEeelHBK9SqQEGA"]
["Machine Learning","Natural Language Processing","Smart Analytics, Machine Learning, and AI on GCP","Google Cloud","Beginner",10.6,4.45,"https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp","Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.","application programming interfaces; bigquery; google; cloud computing; language; data model; dataflow; kubernetes; bigtable; flow network","Data Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[5.9,12.6]","[NULL]","English","information-technology","cloud-computing","YX7uVxsLEeq7sAoBB0lfXw"]
["Machine Learning","Natural Language Processing","Sequence Models","deeplearning.ai","Beginner",17.1,4.77,"https://www.coursera.org/learn/nlp-sequence-models","This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. \\n\\nYou will:\\n- Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs.\\n- Be able to apply sequence models to natural language problems, including text synthesis. \\n- Be able to apply sequence models to audio applications, including speech recognition and music synthesis.\\n\\nThis is the fifth and final course of the Deep Learning Specialization.\\n\\ndeeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content.","deep learning; natural language processing; long short-term memory; term (time); modeling; recurrent neural network; speech; artificial neural network; memory; language","Deep Learning",5.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.3,20]","Spanish; Chinese; Korean","English","data-science","machine-learning","25Fh8ivBEee6gA5XksfBbg"]
["Machine Learning","Natural Language Processing","Introduction to Machine Learning","Duke University","Beginner",15.0,4.59,"https://www.coursera.org/learn/machine-learning-duke","This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with TensorFlow, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).","supply chain; artificial neural network; convolutional neural network; perceptron; machine learning; learning; logistic regression; multilayer perceptron; reinforcement learning; natural language processing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.9]","[NULL]","English","data-science","machine-learning","8BJHzZD_EeiKohJBs5wRGA"]
["Machine Learning","Natural Language Processing","Text Retrieval and Search Engines","University of Illinois at Urbana-Champaign","Beginner",25.0,4.37,"https://www.coursera.org/learn/text-retrieval","Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. \\n\\nThis course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines.","text mining; code segment; recommender systems; information retrieval; inverted index; vector spaces; document retrieval; language model; natural language processing; data mining","Data Mining",2.0,"https://www.coursera.org/specializations/data-mining","The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.\\n\\nCourses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.","[12.2,35.5]","Korean","English","data-science","data-analysis","68PSjeudEeWwngojZhi1dw"]
["Machine Learning","Natural Language Processing","Applied AI with DeepLearning","IBM","Advanced",30.9,4.25,"https://www.coursera.org/learn/ai",">>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ.  Once enrolled you can access the license in the Resources area <<<\\n\\nThis course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs.\\n\\nIMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE \"IBM Watson IoT Certified Data Scientist certificate\". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018\\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nPrerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  To find out more about IBM digital badges follow the link ibm.biz/badging.","keras; long short-term memory; apache spark; deeplearning4j; tensorflow; deep learning; python programming; pytorch; artificial neural network; learning","Advanced Data Science with IBM",3.0,"https://www.coursera.org/specializations/advanced-data-science-ibm","As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.\\n\\nIf you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.","[11.4,50.9]","[NULL]","English","data-science","machine-learning","tE4j0qhMEeecqgpT6QjMdA"]
["Machine Learning","Reinforcement Learning","Fundamentals of Reinforcement Learning","University of Alberta","Beginner",17.9,4.62,"https://www.coursera.org/learn/fundamentals-of-reinforcement-learning","Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making. \\n\\nThis course introduces you to the fundamentals of Reinforcement Learning. When you finish this course, you will:\\n- Formalize problems as Markov Decision Processes \\n- Understand basic exploration methods and the exploration/exploitation tradeoff\\n- Understand value functions, as a general-purpose tool for optimal decision-making\\n- Know how to implement dynamic programming as an efficient solution approach to an industrial control problem\\n\\nThis course teaches you the key concepts of Reinforcement Learning, underlying classic and modern algorithms in RL. After completing this course, you will be able to start using RL for real problems, where you have or can specify the MDP. \\n\\nThis is the first course of the Reinforcement Learning Specialization.","process; markov decision process; reinforcement learning; iteration; dynamic programming; reinforcement; decision-making; computer programming; bellman equation; multi-armed bandit","Reinforcement Learning",1.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[12,21.4]","[NULL]","English","data-science","machine-learning","qDmY1BRlEemltgqXz7ze5A"]
["Machine Learning","Reinforcement Learning","Prediction and Control with Function Approximation","University of Alberta","Intermediate",17.5,4.81,"https://www.coursera.org/learn/prediction-control-function-approximation","In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. We will begin this journey by investigating how our policy evaluation or prediction methods like Monte Carlo and TD can be extended to the function approximation setting. You will learn about feature construction techniques for RL, and representation learning via neural networks and backprop. We conclude this course with a deep-dive into policy gradient methods; a way to learn policies directly without learning a value function. In this course you will solve two continuous-state control tasks and investigate the benefits of policy gradient methods in a continuous-action environment. \\n\\nPrerequisites: This course strongly builds on the fundamentals of Courses 1 and 2, and learners should have completed these before starting this course.  Learners should also be comfortable with probabilities & expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), and  implementing algorithms from pseudocode.\\n\\nBy the end of this course, you will be able to: \\n\\n-Understand how to use supervised learning approaches to approximate value functions\\n-Understand objectives for prediction (value estimation) under function approximation\\n-Implement TD with function approximation (state aggregation), on an environment with an infinite state space (continuous state space)\\n-Understand fixed basis and neural network approaches to feature construction \\n-Implement TD with neural network function approximation in a continuous state environment\\n-Understand new difficulties in exploration when moving to function approximation\\n-Contrast discounted problem formulations for control versus an average reward problem formulation\\n-Implement expected Sarsa and Q-learning with function approximation on a continuous state control task\\n-Understand objectives for directly estimating policies (policy gradient objectives)\\n-Implement a policy gradient method (called Actor-Critic) on a discrete state environment","function approximation; approximation; euler's totient function; gradient; reinforcement learning; table of keyboard shortcuts; reinforcement; artificial neural network; bellman equation; estimation","Reinforcement Learning",3.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[12,21.8]","[NULL]","English","data-science","machine-learning","1qEFFhRlEemnrArl4L3rfA"]
["Machine Learning","Reinforcement Learning","Sample-based Learning Methods","University of Alberta","Intermediate",17.6,4.69,"https://www.coursera.org/learn/sample-based-learning-methods","In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning.\\n\\nBy the end of this course you will be able to:\\n \\n- Understand Temporal-Difference learning and Monte Carlo as two strategies for estimating value functions from sampled experience\\n- Understand the importance of exploration, when using sampled experience rather than dynamic programming sweeps within a model\\n- Understand the connections between Monte Carlo and Dynamic Programming and TD. \\n- Implement and apply the TD algorithm, for estimating value functions\\n- Implement and apply Expected Sarsa and Q-learning (two TD methods for control) \\n- Understand the difference between on-policy and off-policy control\\n- Understand planning with simulated experience (as opposed to classic planning strategies)\\n- Implement a model-based approach to RL, called Dyna, which uses simulated experience \\n- Conduct an empirical study to see the improvements in sample efficiency when using Dyna","learning; q-learning; algorithms; reinforcement; iteration; relative change and difference; temporal difference learning; computer programming; reinforcement learning; monte carlo method","Reinforcement Learning",2.0,"https://www.coursera.org/specializations/reinforcement-learning","The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI).\\n\\nHarnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end.\\n\\nBy the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.\\n\\nThe tools learned in this Specialization can be applied to game development (AI), customer interaction (how a website interacts with customers), smart assistants, recommender systems, supply chain, industrial control, finance, oil & gas pipelines, industrial control systems, and more.","[11.1,20.9]","[NULL]","English","data-science","machine-learning","v0W2MBRlEemy7g7qbc8Igg"]
["Machine Learning","Reinforcement Learning","Computational Neuroscience","University of Washington","Intermediate",30.7,4.6,"https://www.coursera.org/learn/computational-neuroscience","This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.","biological neuron model; neuroscience; reinforcement; information theory; computation; neuron (software); reinforcement learning; modeling; computational neuroscience; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.1,41]","[NULL]","English","data-science","machine-learning","0w0JAG9JEeSp0iIAC12Jpw"]
["Machine Learning","Reinforcement Learning","Introduction to Artificial Intelligence (AI)","IBM","Beginner",8.3,4.71,"https://www.coursera.org/learn/introduction-to-ai","In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini project.\\n \\nThis course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.","machine learning; ethics of artificial intelligence; artificial neural network; a.i. artificial intelligence; deep learning; learning; artificial intelligence; watson (computer); artificial intelligence applications; ethics","IBM Applied AI",1.0,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[4.9,10.6]","[NULL]","English","data-science","machine-learning","mR7MlUaTEemuHQ4HpHozrA"]
["Machine Learning","Reinforcement Learning","Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization","deeplearning.ai","Beginner",14.2,4.87,"https://www.coursera.org/learn/deep-neural-network","This course will teach you the \"magic\" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. \\n\\nAfter 3 weeks, you will: \\n- Understand industry best-practices for building deep learning applications. \\n- Be able to effectively use the common neural network \"tricks\", including initialization, L2 and dropout regularization, Batch normalization, gradient checking, \\n- Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. \\n- Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance\\n- Be able to implement a neural network in TensorFlow. \\n\\nThis is the second course of the Deep Learning Specialization.","tensorflow; learning; hyperparameter; gradient; deep learning; mathematical optimization; softmax function; artificial neural network; hyperparameter optimization; euler's totient function","Deep Learning",2.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[9.6,16.3]","Chinese; Turkish; Korean; Spanish","English","data-science","machine-learning","BZ5quSvBEee6gA5XksfBbg"]
["Machine Learning","Reinforcement Learning","Introduction to Machine Learning","Duke University","Beginner",15.0,4.59,"https://www.coursera.org/learn/machine-learning-duke","This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with TensorFlow, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).","supply chain; artificial neural network; convolutional neural network; perceptron; machine learning; learning; logistic regression; multilayer perceptron; reinforcement learning; natural language processing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.9]","[NULL]","English","data-science","machine-learning","8BJHzZD_EeiKohJBs5wRGA"]
["Machine Learning","Reinforcement Learning","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Machine Learning","Statistical Machine Learning","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Machine Learning","Statistical Machine Learning","Machine Learning: Classification","University of Washington","Beginner",39.5,4.68,"https://www.coursera.org/learn/ml-classification","Case Studies: Analyzing Sentiment & Loan Default Prediction\\n\\nIn our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...).  In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. \\n\\nIn this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.  You will become familiar with  the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.  In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent.  You will implement these technique on real-world, large-scale machine learning tasks.  You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier.  This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data.  We've also included optional content in every module, covering advanced topics for those who want to go even deeper! \\n\\nLearning Objectives: By the end of this course, you will be able to:\\n   -Describe the input and output of a classification model.\\n   -Tackle both binary and multiclass classification problems.\\n   -Implement a logistic regression model for large-scale classification.  \\n   -Create a non-linear model using decision trees.\\n   -Improve the performance of any model using boosting.\\n   -Scale your methods with stochastic gradient ascent.\\n   -Describe the underlying decision boundaries.  \\n   -Build a classification model to predict sentiment in a product review dataset.  \\n   -Analyze financial data to predict loan defaults.\\n   -Use techniques for handling missing data.\\n   -Evaluate your models using precision-recall metrics.\\n   -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).","algorithms; classification algorithms; statistical classification; gradient descent; decision tree; stochastic; learning; machine learning; gradient; logistic regression","Machine Learning",3.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[19.2,53.5]","Korean; Arabic","English","data-science","machine-learning","3c1bSkIJEeWpogr5ZO8qxQ"]
["Machine Learning","Statistical Machine Learning","Machine Learning With Big Data","University of California San Diego","Beginner",25.5,4.51,"https://www.coursera.org/learn/big-data-machine-learning","Want to make sense of the volumes of data you have collected?  Need to incorporate data-driven decisions into your process?  This course provides an overview of machine learning techniques to explore, analyze, and leverage data.  You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.\\n\\nAt the end of the course, you will be able to:\\n•\\tDesign an approach to leverage data using the steps in the machine learning process.\\n•\\tApply machine learning techniques to explore and prepare data for modeling.\\n•\\tIdentify the type of machine learning problem in order to apply the appropriate set of techniques.\\n•\\tConstruct models that learn from data using widely available open source tools.\\n•\\tAnalyze big data problems using scalable machine learning algorithms on Spark.\\n\\nSoftware Requirements: \\nCloudera VM, KNIME, Spark","knime; apache spark; analysis; learning; data clustering algorithms; machine learning concepts; machine learning; statistical classification; cluster analysis; algorithms","Big Data",4.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[9.3,43.9]","Korean; Chinese","English","data-science","machine-learning","loAmvxJgEea8fxLSgUgxeQ"]
["Machine Learning","Statistical Machine Learning","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Math","Best Courses","Social Network Analysis","University of California, Davis","Beginner",18.0,4.85,"https://www.coursera.org/learn/social-network-analysis","This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.","social network analysis; computational social science; social network; modeling; network science; ethics of artificial intelligence; agent-based model; computer programming; analysis; network analysis","Computational Social Science",3.0,"https://www.coursera.org/specializations/computational-social-science-ucdavis","For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\\n\\nAn increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.\\n\\nThis specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.","[11.7,24.3]","[NULL]","English","data-science","data-analysis","hwvdsk86Eem0lhKc4vCNig"]
["Math","Best Courses","Introduction to Calculus","The University of Sydney","Beginner",44.5,4.82,"https://www.coursera.org/learn/introduction-to-calculus","The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key ideas and historical motivation for calculus, while at the same time striking a balance between theory and application, leading to a mastery of key threshold concepts in foundational mathematics. \\n\\nStudents taking Introduction to Calculus will: \\n•\\tgain familiarity with key ideas of precalculus, including the manipulation of equations and elementary functions (first two weeks), \\n•\\tdevelop fluency with the preliminary methodology of tangents and limits, and the definition of a derivative (third week),\\n•\\tdevelop and practice methods of differential calculus with applications (fourth week),\\n•\\tdevelop and practice methods of the integral calculus (fifth week).","dependent type; math; modal μ-calculus; derivative; integral; lambda calculus; differential calculus; π-calculus; integral calculus; calculus","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.7,63.7]","[NULL]","English","math-and-logic","math-and-logic","kj0t_A9REeeY9w43qQI3Ag"]
["Math","Best Courses","Matrix Algebra for Engineers","The Hong Kong University of Science and Technology","Intermediate",13.1,4.84,"https://www.coursera.org/learn/matrix-algebra-engineers","This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course.  There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity.  Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.\\n\\nThe course contains 38 short lecture videos, with a few problems to solve after each lecture.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of four weeks in the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf","calculus; linear algebra; basis (linear algebra); quantum computing; math; eigenvalues and eigenvectors; matrices; linearity; algebra; sigma-algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,21.7]","[NULL]","English","math-and-logic","math-and-logic","H_rBZ9rMEeeCnw6tUJCJGg"]
["Math","Best Courses","Advanced Linear Models for Data Science 2: Statistical Linear Models","Johns Hopkins University","Advanced",9.8,4.79,"https://www.coursera.org/learn/linear-models-2","Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:\\n\\n- A basic understanding of linear algebra and multivariate calculus.\\n- A basic understanding of statistics and regression models.\\n- At least a little familiarity with proof based mathematics.\\n- Basic knowledge of the R programming language.\\n\\nAfter taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.","statistical models; least squares; normal distribution; statistics; independent and identically distributed random variables; multivariate normal distribution; square (algebra); linearity; linear model; expected value","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,13.3]","[NULL]","English","data-science","probability-and-statistics","ouoDtVM7EeaUyhJ5kBsouw"]
["Math","Best Courses","Principles of Computing (Part 1)","Rice University","Beginner",22.6,4.77,"https://www.coursera.org/learn/principles-of-computing-1","This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.  We will augment those skills with both important programming practices and critical mathematical problem solving skills.  These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 1 of this course, the programming aspect of the class will focus on coding standards and testing.  The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science.  \\n\\nRecommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.","problem solving; computer programming; algorithms; combinatorics; tuple; autonomous system (internet); coding conventions; python programming; right-to-left; randomness","Fundamentals of Computing",3.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[15.5,27.4]","[NULL]","English","computer-science","software-development","ZLWU-phSEeWt-Ao8imSkCQ"]
["Math","Best Courses","Analysis of Algorithms","Princeton University","Advanced",27.6,4.72,"https://www.coursera.org/learn/analysis-of-algorithms","This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","trie; algorithms; permutations; Mapping; binary tree; computer science; analytics; real analysis; combinatorics; analytic combinatorics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.2,36.5]","[NULL]","English","computer-science","algorithms","jjFwDfBcEeWLaBLI8fdMlw"]
["Math","Best Courses","Analytic Combinatorics","Princeton University","Advanced",24.7,4.71,"https://www.coursera.org/learn/analytic-combinatorics","Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.\\n\\nAll the features of this course are available for free. It does not offer a certificate upon completion.","calculus; atom (standard); complex analysis; combinatorics; analytic combinatorics; internet slang; real analysis; analytics; saddle point; symbolic method","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,32.8]","[NULL]","English","math-and-logic","math-and-logic","S9QaleohEeWa-RJ17vNpzw"]
["Math","Best Courses","Mathematics for Machine Learning: Multivariate Calculus","Imperial College London","Beginner",21.4,4.68,"https://www.coursera.org/learn/multivariate-calculus-machine-learning","This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.","lambda calculus; linear regression; multivariable calculus; calculus; modal μ-calculus; gradient; mathematical optimization; gradient descent; linearity; π-calculus","Mathematics for Machine Learning",2.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[12.3,26.7]","Spanish; Greek","English","math-and-logic","math-and-logic","oXasXIY_EeeL9BLE3sEj-g"]
["Math","Best Courses","Algorithms on Graphs","University of California San Diego","Intermediate",15.9,4.67,"https://www.coursera.org/learn/algorithms-on-graphs","If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.\\n\\nIn this course, you will first learn what a graph is and what are some of the most important properties. Then you'll learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order. We will then talk about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services. You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. We will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.","graphs; kruskal's algorithm; graph theory; algorithms; dijkstra's algorithm; bellman ford algorithm; graph algorithms; fisher yates shuffle; prim's algorithm; tree traversal","Data Structures and Algorithms",3.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[9.6,20.2]","[NULL]","English","computer-science","algorithms","R1xPlXlzEeW3pg6oA-kqJQ"]
["Math","Best Courses","Welcome to Game Theory","The University of Tokyo","Advanced",20.8,4.61,"https://www.coursera.org/learn/game-theory-introduction","This course provides a brief introduction to game theory. Our main goal is to understand the basic ideas behind the key concepts in game theory, such as equilibrium, rationality, and cooperation. The course uses very little mathematics, and it is ideal for those who are looking for a conceptual introduction to game theory.\\n\\nBusiness competition, political campaigns, the struggle for existence by animals and plants, and so on, can all be regarded as a kind of “game,” in which individuals try to do their best against others. Game theory provides a general framework to describe and analyze how individuals behave in such “strategic” situations.\\n\\nThis course focuses on the key concepts in game theory, and attempts to outline the informal basic ideas that are often hidden behind mathematical definitions. Game theory has been applied to a number of disciplines, including economics, political science, psychology, sociology, biology, and computer science. Therefore, a warm welcome is extended to audiences from all fields who are interested in what game theory is all about.","Planning; number theory; strategic planning; animal behavior; game theory; cooperation; behavioral economics; corporate finance; nash equilibrium; Economics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,28.8]","[NULL]","English","social-sciences","economics","hhFDsQ72EeWPhwrBf2tcNQ"]
["Math","Best Courses","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Algebra","Matrix Algebra for Engineers","The Hong Kong University of Science and Technology","Intermediate",13.1,4.84,"https://www.coursera.org/learn/matrix-algebra-engineers","This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course.  There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity.  Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.\\n\\nThe course contains 38 short lecture videos, with a few problems to solve after each lecture.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of four weeks in the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf","calculus; linear algebra; basis (linear algebra); quantum computing; math; eigenvalues and eigenvectors; matrices; linearity; algebra; sigma-algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,21.7]","[NULL]","English","math-and-logic","math-and-logic","H_rBZ9rMEeeCnw6tUJCJGg"]
["Math","Algebra","Advanced Linear Models for Data Science 2: Statistical Linear Models","Johns Hopkins University","Advanced",9.8,4.79,"https://www.coursera.org/learn/linear-models-2","Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:\\n\\n- A basic understanding of linear algebra and multivariate calculus.\\n- A basic understanding of statistics and regression models.\\n- At least a little familiarity with proof based mathematics.\\n- Basic knowledge of the R programming language.\\n\\nAfter taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.","statistical models; least squares; normal distribution; statistics; independent and identically distributed random variables; multivariate normal distribution; square (algebra); linearity; linear model; expected value","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,13.3]","[NULL]","English","data-science","probability-and-statistics","ouoDtVM7EeaUyhJ5kBsouw"]
["Math","Algebra","Fibonacci Numbers and the Golden Ratio","The Hong Kong University of Science and Technology","Advanced",10.2,4.76,"https://www.coursera.org/learn/fibonacci","Learn the mathematics behind the Fibonacci numbers, the golden ratio, and how they are related. These topics are not usually taught in a typical math curriculum, yet contain many fascinating results that are still accessible to an advanced high school student.  \\n\\nThe course culminates in an explanation of why the Fibonacci numbers appear unexpectedly in nature, such as the number of spirals in the head of a sunflower.","sunflow; a/rose; learning; geometry; math; integration testing; closed-form expression; mathematical induction; gold; puzzle","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.4,13.4]","Arabic","English","math-and-logic","math-and-logic","gvw1-gKyEeaJMgqy4cb6jQ"]
["Math","Algebra","VLSI CAD Part I: Logic","University of Illinois at Urbana-Champaign","Advanced",29.7,4.75,"https://www.coursera.org/learn/vlsi-cad-logic","A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc.  How do we design these complex chips?  Answer: CAD software tools.  Learn how to build thesA modern VLSI chip is a remarkably complex beast:  billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks).  How do people manage to design these complicated chips?  Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. This class focuses on the major design tools used in the creation of an Application Specific Integrated Circuit (ASIC) or System on Chip (SoC) design. Our focus in this first part of the course is on key Boolean logic representations that make it possible to synthesize, and to verify, the gate-level logic in these designs.  This is the first step of the design chain, as we move from logic to layout.    Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. Topics covered will include: Computational Boolean algebra, logic verification, and logic synthesis (2-level and multi-level).\\n\\nRecommended Background\\nProgramming experience (C, C++, Java, Python, etc.) and basic knowledge of data structures and algorithms (especially recursive algorithms).  An understanding of basic digital design:  Boolean algebra, Kmaps, gates and flip flops, finite state machine design.  Linear algebra and calculus at the level of a junior or senior in engineering.  Exposure to basic VLSI at an undergraduate level is nice -- but it’s not necessary.  We will keep the course self-contained, but students with some VLSI will be able to skip some background material.e tools in this class.","recursion; binary decision diagram; boolean network; factorization; logic gate; algebra; computer-aided design; boolean algebra; Digital Design; computation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,44.2]","[NULL]","English","computer-science","algorithms","nc5DINdVEeSQpiIAC2iNcA"]
["Math","Algebra","Computer Science:  Algorithms, Theory, and Machines","Princeton University","Advanced",33.4,4.74,"https://www.coursera.org/learn/cs-algorithms-theory-machines","This course  introduces the broader discipline of computer science to people having basic familiarity with Java programming.  It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.\\n\\nFirst, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up).\\n\\nThe course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others.\\n\\nAll the features of this course are available for free. No certificate will be offered upon completion.","computer science; java programming; architecture; algorithms; theory of computation; theoretical computer science; assembly languages; data structure; computer architecture; Data Science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.3,53]","[NULL]","English","computer-science","algorithms","SyKD8hMpEei5XQqHN7tj_g"]
["Math","Algebra","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Algebra","Advanced Linear Models for Data Science 1: Least Squares","Johns Hopkins University","Advanced",12.8,4.27,"https://www.coursera.org/learn/linear-models","Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:\\n\\n- A basic understanding of linear algebra and multivariate calculus.\\n- A basic understanding of statistics and regression models.\\n- At least a little familiarity with proof based mathematics.\\n- Basic knowledge of the R programming language.\\n\\nAfter taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.","least squares; linear regression; linear algebra; linearity; statistics; linear model; variance; matrices; math; square (algebra)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,15.9]","[NULL]","English","data-science","probability-and-statistics","9u1jAWLFEeWUshLcukZCkw"]
["Math","Algebra","Data Manipulation at Scale: Systems and Algorithms","University of Washington","Advanced",20.1,4.28,"https://www.coursera.org/learn/data-manipulation","Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it.  Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively.  The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.\\n\\nIn this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon.   Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered.\\n\\nYou will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project.  At the end of this course, you will be able to:\\n\\nLearning Goals: \\n1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields.\\n2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models.\\n3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics\\n4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends.\\n5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark.  You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages.\\nwrite programs in Spark\\n6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams","nosql; sql; algebra; python programming; data uri scheme; sigma-algebra; database; relational algebra; computer programming; mapreduce","Data Science at Scale",1.0,"https://www.coursera.org/specializations/data-science","Learn scalable data management, evaluate big data technologies, and design effective visualizations.\\n\\nThis Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project.","[13.7,24.3]","[NULL]","English","data-science","data-analysis","zfksZy_FEeWWqBIFfWmDPQ"]
["Math","Applied Mathematics","Control of Mobile Robots","Georgia Institute of Technology","Beginner",20.4,4.83,"https://www.coursera.org/learn/mobile-robot","Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts - to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world, which is the challenge we have set out to address through the different pieces in the course.","robot control; automaton; robotics; modeling; behavior-based robotics; robot; matlab; null character; mobile robot; linearity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,27.4]","Hebrew","English","computer-science","mobile-and-web-development","nymnhGMNEeWMMg7wwTZV_Q"]
["Math","Applied Mathematics","Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python","Ludwig-Maximilians-Universität München (LMU)","Intermediate",26.5,4.78,"https://www.coursera.org/learn/computers-waves-simulations","Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation. The mathematical derivation of the computational algorithm is accompanied by python codes embedded in Jupyter notebooks. In a unique setup you can see how the mathematical equations are transformed to a computer code and the results visualized. The emphasis is on illustrating the fundamental mathematical ingredients of the various numerical methods (e.g., Taylor series, Fourier series, differentiation, function interpolation, numerical integration) and how they compare. You will be provided with strategies how to ensure your solutions are correct, for example benchmarking with analytical solutions or convergence tests. The mathematical aspects are complemented by a basic introduction to wave physics, discretization, meshes, parallel programming, computing models. \\n\\nThe course targets anyone who aims at developing or using numerical methods applied to partial differential equations and is seeking a practical introduction at a basic level. The methodologies discussed are widely used in natural sciences,  engineering, as well as economics and other fields.","computational physics; simulation; numerical analysis; modeling and simulation; partial differential equations; parallel computing; spectral element method; python programming; computer simulation; fourier analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13,39.2]","[NULL]","English","physical-science-and-engineering","research-methods","xQnLBwQfEee5kw7fsxuOhg"]
["Math","Applied Mathematics","Principles of Computing (Part 1)","Rice University","Beginner",22.6,4.77,"https://www.coursera.org/learn/principles-of-computing-1","This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.  We will augment those skills with both important programming practices and critical mathematical problem solving skills.  These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 1 of this course, the programming aspect of the class will focus on coding standards and testing.  The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science.  \\n\\nRecommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.","problem solving; computer programming; algorithms; combinatorics; tuple; autonomous system (internet); coding conventions; python programming; right-to-left; randomness","Fundamentals of Computing",3.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[15.5,27.4]","[NULL]","English","computer-science","software-development","ZLWU-phSEeWt-Ao8imSkCQ"]
["Math","Applied Mathematics","Mathematics for Machine Learning: Multivariate Calculus","Imperial College London","Beginner",21.4,4.68,"https://www.coursera.org/learn/multivariate-calculus-machine-learning","This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.","lambda calculus; linear regression; multivariable calculus; calculus; modal μ-calculus; gradient; mathematical optimization; gradient descent; linearity; π-calculus","Mathematics for Machine Learning",2.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[12.3,26.7]","Spanish; Greek","English","math-and-logic","math-and-logic","oXasXIY_EeeL9BLE3sEj-g"]
["Math","Applied Mathematics","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Applied Mathematics","Data Science Math Skills","Duke University","Beginner",14.6,4.45,"https://www.coursera.org/learn/datasciencemathskills","Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. \\n\\nLearners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.\\n\\nTopics include:\\n~Set theory, including Venn diagrams\\n~Properties of the real number line\\n~Interval notation and algebra with inequalities\\n~Uses for summation and Sigma notation\\n~Math on the Cartesian (x,y) plane, slope and distance formulas\\n~Graphing and describing functions and their inverses on the x-y plane,\\n~The concept of instantaneous rate of change and tangent lines to a curve\\n~Exponents, logarithms, and the natural log function.\\n~Probability theory, including Bayes’ theorem.\\n\\nWhile this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, \"Mastering Data Analysis in Excel,\" which is part of the Excel to MySQL Data Science Specialization.  Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in \"Mastering Data Analysis in Excel.\" \\n\\nGood luck and we hope you enjoy the course!","bayesian; euler's totient function; statistics; math; bayes' theorem; probability; dynkin system; factorial; bayesian probability; probability theory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,18.3]","[NULL]","English","math-and-logic","math-and-logic","2RGeY3RDEeatvg5z1JaMJw"]
["Math","Calculus","Introduction to Complex Analysis","Wesleyan University","Advanced",35.4,4.85,"https://www.coursera.org/learn/complex-analysis","This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dynamics, power series representation and Laurent series into territories at the edge of what is known today. Each module consists of five video lectures with embedded quizzes, followed by an electronically graded homework assignment.  Additionally, modules 1, 3, and 5 also contain a peer assessment. \\n \\nThe homework assignments will require time to think through and practice the concepts discussed in the lectures. In fact, a significant amount of your learning will happen while completing the homework assignments. These assignments are not meant to be completed quickly; rather you'll need paper and pen with you to work through the questions. In total, we expect that the course will take 6-12 hours of work per module, depending on your background.","real analysis; calculus; analytics; geometry; complex analysis; analysis; iteration; power series; compiler optimizations; integral","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.5,47.4]","[NULL]","English","math-and-logic","math-and-logic","PwuYBQZREeW5gyIACwQVNg"]
["Math","Calculus","Introduction to Calculus","The University of Sydney","Beginner",44.5,4.82,"https://www.coursera.org/learn/introduction-to-calculus","The focus and themes of the Introduction to Calculus course address the most important foundations for applications of mathematics in science, engineering and commerce. The course emphasises the key ideas and historical motivation for calculus, while at the same time striking a balance between theory and application, leading to a mastery of key threshold concepts in foundational mathematics. \\n\\nStudents taking Introduction to Calculus will: \\n•\\tgain familiarity with key ideas of precalculus, including the manipulation of equations and elementary functions (first two weeks), \\n•\\tdevelop fluency with the preliminary methodology of tangents and limits, and the definition of a derivative (third week),\\n•\\tdevelop and practice methods of differential calculus with applications (fourth week),\\n•\\tdevelop and practice methods of the integral calculus (fifth week).","dependent type; math; modal μ-calculus; derivative; integral; lambda calculus; differential calculus; π-calculus; integral calculus; calculus","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.7,63.7]","[NULL]","English","math-and-logic","math-and-logic","kj0t_A9REeeY9w43qQI3Ag"]
["Math","Calculus","Matrix Algebra for Engineers","The Hong Kong University of Science and Technology","Intermediate",13.1,4.84,"https://www.coursera.org/learn/matrix-algebra-engineers","This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course.  There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity.  Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.\\n\\nThe course contains 38 short lecture videos, with a few problems to solve after each lecture.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of four weeks in the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf","calculus; linear algebra; basis (linear algebra); quantum computing; math; eigenvalues and eigenvectors; matrices; linearity; algebra; sigma-algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,21.7]","[NULL]","English","math-and-logic","math-and-logic","H_rBZ9rMEeeCnw6tUJCJGg"]
["Math","Calculus","Analytic Combinatorics","Princeton University","Advanced",24.7,4.71,"https://www.coursera.org/learn/analytic-combinatorics","Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.\\n\\nAll the features of this course are available for free. It does not offer a certificate upon completion.","calculus; atom (standard); complex analysis; combinatorics; analytic combinatorics; internet slang; real analysis; analytics; saddle point; symbolic method","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,32.8]","[NULL]","English","math-and-logic","math-and-logic","S9QaleohEeWa-RJ17vNpzw"]
["Math","Calculus","Mathematics for Machine Learning: Multivariate Calculus","Imperial College London","Beginner",21.4,4.68,"https://www.coursera.org/learn/multivariate-calculus-machine-learning","This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.","lambda calculus; linear regression; multivariable calculus; calculus; modal μ-calculus; gradient; mathematical optimization; gradient descent; linearity; π-calculus","Mathematics for Machine Learning",2.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[12.3,26.7]","Spanish; Greek","English","math-and-logic","math-and-logic","oXasXIY_EeeL9BLE3sEj-g"]
["Math","Calculus","Introduction into General Theory of Relativity","National Research University Higher School of Economics","Advanced",45.7,4.64,"https://www.coursera.org/learn/general-relativity","General Theory of Relativity or the theory of relativistic gravitation is the one which describes black holes, gravitational waves and expanding Universe. The goal of the course is to introduce you into this theory. The introduction is based on the consideration of many practical generic examples in various scopes of the General Relativity. After the completion of the course you will be able to solve basic standard problems of this theory.  We assume that you are familiar with the Special Theory of Relativity and Classical Electrodynamics. However, as an aid we have recorded several complementary materials which are supposed to help you understand some of the aspects of the Special Theory of Relativity and Classical Electrodynamics and some of the calculational tools that are used in our course. Also as a complementary material we provide the written form of the lectures at the website: https://math.hse.ru/generalrelativity2015\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","tensor calculus; calculus; physics; classical mechanics; tailored access operations; quantum mechanics; theory of relativity; materials; analysis; astronomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[26.4,60.4]","[NULL]","English","physical-science-and-engineering","physics-and-astronomy","pBpdFgq4EeafmAoLZ2pYtw"]
["Math","Calculus","Vector Calculus for Engineers","The Hong Kong University of Science and Technology","Intermediate",19.2,4.75,"https://www.coursera.org/learn/vector-calculus-engineers","We cover both basic theory and applications. In the first week we learn about scalar and vector fields, in the second week about differentiating fields, in the third week about integrating fields.  The fourth week covers the fundamental theorems of vector calculus, including the gradient theorem, the divergence theorem and Stokes’ theorem.  These theorems are needed in core engineering subjects such as Electromagnetism and Fluid Mechanics.\\n\\nInstead of Vector Calculus, some universities might call this course Multivariable or Multivariate Calculus or Calculus 3.  Two semesters of single variable calculus (differentiation and integration) are a prerequisite. \\n\\nThe course is organized into 42 short lecture videos, with a few problems to solve following each video.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of four weeks to the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/vector-calculus-for-engineers.pdf","levi-civita symbol; fluid mechanics; Civil Engineering; stokes' theorem; math and logic; calculus; vector calculus; tensor calculus; multivariable calculus; curl","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,29.2]","[NULL]","English","math-and-logic","math-and-logic","PMjPbaIqEemvjBKUOppBiA"]
["Math","Calculus","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Calculus","Introduction to Ordinary Differential Equations","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",22.4,4.5,"https://www.coursera.org/learn/ordinary-differential-equations","In this introductory course on Ordinary Differential Equations, we first provide basic terminologies on the theory of differential equations and then proceed to methods of solving various types of ordinary differential equations. We handle first order differential equations and then second order linear differential equations. We also discuss some related concrete mathematical modeling problems, which can be handled by the methods introduced in this course.\\n\\nThe lecture is self contained. However, if necessary, you may consult any introductory level text\\non ordinary differential equations. For example, \"Elementary Differential Equations and Boundary Value Problems\\nby W. E. Boyce and R. C. DiPrima from John Wiley & Sons\" is a good source for further study on the subject.\\n\\nThe course is mainly delivered through video lectures. At the end of each module, there will be a quiz consisting of several problems related to the lecture of the week.","linearity; linear equation; system of linear equations; spring; calculus; mathematical model; linear independence; differential equations; partial differential equations; ordinary differential equation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.6,27.9]","[NULL]","English","math-and-logic","math-and-logic","rl9wb4O8EeetQwoqGsZceA"]
["Math","Calculus","Interest Rate Models","École Polytechnique Fédérale de Lausanne","Advanced",49.8,4.37,"https://www.coursera.org/learn/interest-rate-models","This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives. We will also cover the industry standard Black and Bachelier formulas for pricing caps, floors, and swaptions.\\n\\nAt the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives.","short rate; interest rate derivative; interest; smoothing; stochastic calculus; market (economics); yield curve; interest rate; interest rate swap; discounting","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[30.9,55.9]","[NULL]","English","business","finance","rrCvQ2CfEeaFYA4dzi3AFw"]
["Math","Combinatorics","Functional Programming Principles in Scala","École Polytechnique Fédérale de Lausanne","Beginner",22.7,4.78,"https://www.coursera.org/learn/progfun1","Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera.\\n\\nIn this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically.\\n\\nThe course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments.\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line.","language; scala programming; omega language; functional programming; programming language; recursion; array programming; euler's totient function; μ-recursive function; computer programming","Functional Programming in Scala",1.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[15.3,27.4]","Korean; Serbian; French","English","computer-science","software-development","bRPXgjY9EeW6RApRXdjJPw"]
["Math","Combinatorics","Principles of Computing (Part 1)","Rice University","Beginner",22.6,4.77,"https://www.coursera.org/learn/principles-of-computing-1","This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course.  We will augment those skills with both important programming practices and critical mathematical problem solving skills.  These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.\\n\\nIn part 1 of this course, the programming aspect of the class will focus on coding standards and testing.  The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science.  \\n\\nRecommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.","problem solving; computer programming; algorithms; combinatorics; tuple; autonomous system (internet); coding conventions; python programming; right-to-left; randomness","Fundamentals of Computing",3.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[15.5,27.4]","[NULL]","English","computer-science","software-development","ZLWU-phSEeWt-Ao8imSkCQ"]
["Math","Combinatorics","Analysis of Algorithms","Princeton University","Advanced",27.6,4.72,"https://www.coursera.org/learn/analysis-of-algorithms","This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","trie; algorithms; permutations; Mapping; binary tree; computer science; analytics; real analysis; combinatorics; analytic combinatorics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.2,36.5]","[NULL]","English","computer-science","algorithms","jjFwDfBcEeWLaBLI8fdMlw"]
["Math","Combinatorics","Analytic Combinatorics","Princeton University","Advanced",24.7,4.71,"https://www.coursera.org/learn/analytic-combinatorics","Analytic Combinatorics teaches a calculus that enables precise quantitative predictions of large combinatorial structures. This course introduces the symbolic method to derive functional relations among ordinary, exponential, and multivariate generating functions, and methods in complex analysis for deriving accurate asymptotics from the GF equations.\\n\\nAll the features of this course are available for free. It does not offer a certificate upon completion.","calculus; atom (standard); complex analysis; combinatorics; analytic combinatorics; internet slang; real analysis; analytics; saddle point; symbolic method","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,32.8]","[NULL]","English","math-and-logic","math-and-logic","S9QaleohEeWa-RJ17vNpzw"]
["Math","Combinatorics","Delivery Problem","University of California San Diego","Advanced",12.8,4.65,"https://www.coursera.org/learn/delivery-problem","We’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several solutions for real world instances of the travelling salesman problem. While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory. We’ll see several examples of using discrete mathematics ideas to get more and more efficient solutions.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","combinatorics; combinatorial optimization; dynamic programming; computer programming; graph theory; approximation; discrete mathematics; travelling salesman problem; exact algorithm; approximation algorithm","Introduction to Discrete Mathematics for Computer Science",5.0,"https://www.coursera.org/specializations/discrete-mathematics","Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.","[4.6,19.3]","[NULL]","English","computer-science","algorithms","IKJ3iHh-EeebgxJJUk2AAg"]
["Math","Combinatorics","Discrete Math and Analyzing Social Graphs","National Research University Higher School of Economics","Intermediate",8.5,4.63,"https://www.coursera.org/learn/discrete-math-and-analyzing-social-graphs","The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis.\\n\\nWe will start with a brief introduction to combinatorics, the branch of mathematics that studies how to count. Basics of this topic are critical for anyone working in Data Analysis or Computer Science. We will illustrate new knowledge, for example, by counting the number of features in data or by estimating the time required for a Python program to run.\\n\\nNext, we will apply our knowledge in combinatorics to study basic Probability Theory. Probability is everywhere in Data Analysis and we will study it in much more details later. Our goals for probability section in this course will be to give initial flavor of this field.\\n\\nFinally, we will study the combinatorial structure that is the most relevant for Data Analysis, namely graphs. Graphs can be found everywhere around us and we will provide you with numerous examples. We will mainly concentrate in this course on the graphs of social networks. We will provide you with relevant notions from the graph theory, illustrate them on the graphs of social networks and will study their basic properties. In the end of the course we will have a project related to social network graphs.\\n\\nAs prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in Python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in Data Analysis, starting from motivated high school students.","Data Science; combination; algorithms; calculus; math; linear algebra; probability; discrete mathematics; statistics; optimization algorithms and methods","Mathematics for Data Science",1.0,"https://www.coursera.org/specializations/mathematics-for-data-science","Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.","[3.4,9.9]","[NULL]","English","math-and-logic","math-and-logic","Yv6V9vYyEemyJQ5Yl6fTyg"]
["Math","Combinatorics","Introduction to Enumerative Combinatorics","National Research University Higher School of Economics","Advanced",34.1,4.57,"https://www.coursera.org/learn/enumerative-combinatorics","Enumerative combinatorics deals with finite sets and their cardinalities. In other words, a typical problem of enumerative combinatorics is to find the number of ways a certain pattern can be formed. \\n\\nIn the first part of our course we will be dealing with elementary combinatorial objects and notions: permutations, combinations, compositions, Fibonacci and Catalan numbers etc. In the second part of the course we introduce the notion of generating functions and use it to study recurrence relations and partition numbers. \\n\\nThe course is mostly self-contained. However, some acquaintance with basic linear algebra and analysis (including Taylor series expansion) may be very helpful.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","linearity; permutations; tailored access operations; enumerative combinatorics; software versioning; internet slang; number theory; coefficient; combinatorics; binomial coefficient","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.7,40.6]","Arabic","English","math-and-logic","math-and-logic","jDGDrT6wEeaDtA7V-fOzBw"]
["Math","Combinatorics","Combinatorics and Probability","University of California San Diego","Advanced",87.3,4.51,"https://www.coursera.org/learn/combinatorics","Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics.\\n\\nIn this course we discuss most standard combinatorial settings that can help to answer questions of this type. We will especially concentrate on developing the ability to distinguish these settings in real life and algorithmic problems. This will help the learner to actually implement new knowledge. Apart from that we will discuss recursive technique for counting that is important for algorithmic implementations.\\n\\nOne of the main `consumers’ of Combinatorics is Probability Theory. This area is connected with numerous sides of life, on one hand being an important concept in everyday life and on the other hand being an indispensable tool in such modern and important fields as Statistics and Machine Learning. In this course we will concentrate on providing the working knowledge of basics of probability and a good intuition in this area. The practice shows that such an intuition is not easy to develop.\\n\\nIn the end of the course we will create a program that successfully plays a tricky and very counterintuitive dice game.\\n\\nAs prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","computer programming; combination; combinatorics; binomial coefficient; permutations; probability; random variable; dice; python programming; coefficient","Introduction to Discrete Mathematics for Computer Science",2.0,"https://www.coursera.org/specializations/discrete-mathematics","Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.","[19.8,153.8]","Greek; Chinese","English","computer-science","algorithms","nZYl8m_GEeeLuxKawECaMg"]
["Math","Combinatorics","Data Science Math Skills","Duke University","Beginner",14.6,4.45,"https://www.coursera.org/learn/datasciencemathskills","Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. \\n\\nLearners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.\\n\\nTopics include:\\n~Set theory, including Venn diagrams\\n~Properties of the real number line\\n~Interval notation and algebra with inequalities\\n~Uses for summation and Sigma notation\\n~Math on the Cartesian (x,y) plane, slope and distance formulas\\n~Graphing and describing functions and their inverses on the x-y plane,\\n~The concept of instantaneous rate of change and tangent lines to a curve\\n~Exponents, logarithms, and the natural log function.\\n~Probability theory, including Bayes’ theorem.\\n\\nWhile this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, \"Mastering Data Analysis in Excel,\" which is part of the Excel to MySQL Data Science Specialization.  Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in \"Mastering Data Analysis in Excel.\" \\n\\nGood luck and we hope you enjoy the course!","bayesian; euler's totient function; statistics; math; bayes' theorem; probability; dynkin system; factorial; bayesian probability; probability theory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,18.3]","[NULL]","English","math-and-logic","math-and-logic","2RGeY3RDEeatvg5z1JaMJw"]
["Math","Combinatorics","Probability Theory, Statistics and Exploratory Data Analysis","National Research University Higher School of Economics","Advanced",4.3,4.59,"https://www.coursera.org/learn/probability-theory-statistics","Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. \\n\\nThe core concept of the course is random variable — i.e. variable whose values are determined by random experiment. Random variables are used as a model for data generation processes we want to study. Properties of the data are deeply linked to the corresponding properties of random variables, such as expected value, variance and correlations. Dependencies between random variables are crucial factor that allows us to predict unknown quantities based on known values, which forms the basis of supervised machine learning. We begin with the notion of independent events and conditional probability, then introduce two main classes of random variables: discrete and continuous and study their properties. Finally, we learn different types of data and their connection with random variables.\\n\\nWhile introducing you to the theory, we'll pay special attention to practical aspects for working with probabilities, sampling, data analysis, and data visualization in Python.\\n\\nThis course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals).","statistics; variance; correlation and dependence; randomness; probability theory; random variable; .properties; covariance; probability; conditional probability","Mathematics for Data Science",4.0,"https://www.coursera.org/specializations/mathematics-for-data-science","Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.","[1,3.9]","[NULL]","English","math-and-logic","math-and-logic","Qj2TzfF1EemW0hLBeDiHeA"]
["Math","Combinatorics","Games without Chance: Combinatorial Game Theory","Georgia Institute of Technology","Advanced",8.3,4.3,"https://www.coursera.org/learn/combinatorial-game-theory","This course will cover the mathematical theory and analysis of simple games without chance moves.","number theory; portable document format; combinatorial game theory; combinatorics; seeks; prior probability; grundy number; game theory; toad (software); surveying","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,9.7]","[NULL]","English","math-and-logic","math-and-logic","k2Ty4TonEeWO-Qq6rEZAow"]
["Math","Differential Equations","Differential Equations for Engineers","The Hong Kong University of Science and Technology","Intermediate",16.1,4.89,"https://www.coursera.org/learn/differential-equations-engineers","This course is about differential equations and covers material that all engineers should know.   Both basic theory and applications are taught.  In the first five weeks we will learn about ordinary differential equations, and in the final week, partial differential equations.\\n\\nThe course is composed of  56 short lecture videos, with a few simple problems to solve following each lecture.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of six weeks in the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/differential-equations-for-engineers.pdf","euler's totient function; numerical analysis; laplace transform applied to differential equations; differential equations; root; polynomial; partial derivative; partial differential equations; linearity; ordinary differential equation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.6,25.5]","[NULL]","English","math-and-logic","math-and-logic","RI9SKqA-Eeitlw56WYjeBg"]
["Math","Differential Equations","Control of Mobile Robots","Georgia Institute of Technology","Beginner",20.4,4.83,"https://www.coursera.org/learn/mobile-robot","Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts - to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world, which is the challenge we have set out to address through the different pieces in the course.","robot control; automaton; robotics; modeling; behavior-based robotics; robot; matlab; null character; mobile robot; linearity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,27.4]","Hebrew","English","computer-science","mobile-and-web-development","nymnhGMNEeWMMg7wwTZV_Q"]
["Math","Differential Equations","Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python","Ludwig-Maximilians-Universität München (LMU)","Intermediate",26.5,4.78,"https://www.coursera.org/learn/computers-waves-simulations","Interested in learning how to solve partial differential equations with numerical methods and how to turn them into python codes? This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation. The mathematical derivation of the computational algorithm is accompanied by python codes embedded in Jupyter notebooks. In a unique setup you can see how the mathematical equations are transformed to a computer code and the results visualized. The emphasis is on illustrating the fundamental mathematical ingredients of the various numerical methods (e.g., Taylor series, Fourier series, differentiation, function interpolation, numerical integration) and how they compare. You will be provided with strategies how to ensure your solutions are correct, for example benchmarking with analytical solutions or convergence tests. The mathematical aspects are complemented by a basic introduction to wave physics, discretization, meshes, parallel programming, computing models. \\n\\nThe course targets anyone who aims at developing or using numerical methods applied to partial differential equations and is seeking a practical introduction at a basic level. The methodologies discussed are widely used in natural sciences,  engineering, as well as economics and other fields.","computational physics; simulation; numerical analysis; modeling and simulation; partial differential equations; parallel computing; spectral element method; python programming; computer simulation; fourier analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13,39.2]","[NULL]","English","physical-science-and-engineering","research-methods","xQnLBwQfEee5kw7fsxuOhg"]
["Math","Differential Equations","Dynamical Modeling Methods for Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",19.9,4.76,"https://www.coursera.org/learn/dynamical-modeling","An introduction to dynamical modeling techniques used in contemporary Systems Biology research.\\n\\nWe take a case-based approach to teach contemporary mathematical modeling\\ntechniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments. The course should also be valuable as an introductory overview for students planning to conduct original research in modeling biological systems.\\n\\nThis course focuses on dynamical modeling techniques used in Systems Biology research.  These techniques are based on biological mechanisms, and simulations with these models generate predictions that can subsequently be tested experimentally. These testable predictions frequently provide novel insight into biological processes. The approaches taught here can be grouped into the following categories: 1) ordinary differential equation-based models, 2) partial differential equation-based models, and 3) stochastic models.","molecular modelling; biology; matlab; dynamical systems; ordinary differential equation; biomedical engineering; mathematical model; systems biology; computational biology; biotechnology","Systems Biology and Biotechnology",4.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","[13.2,24.5]","[NULL]","English","life-sciences","health-informatics","Rwzrl_9rEeS9ISIACxWDhA"]
["Math","Differential Equations","The Finite Element Method for Problems in Physics","University of Michigan","Beginner",53.9,4.61,"https://www.coursera.org/learn/finite-element-method","This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently.\\n\\nThe course includes about 45 hours of lectures covering the material I normally teach in an\\nintroductory graduate class at University of Michigan. The treatment is mathematical, which is\\nnatural for a topic whose roots lie deep in functional analysis and variational calculus. It is not\\nformal, however, because the main goal of these lectures is to turn the viewer into a\\ncompetent developer of finite element code. We do spend time in rudimentary functional\\nanalysis, and variational calculus, but this is only to highlight the mathematical basis for the\\nmethods, which in turn explains why they work so well. Much of the success of the Finite\\nElement Method as a computational framework lies in the rigor of its mathematical\\nfoundation, and this needs to be appreciated, even if only in the elementary manner\\npresented here. A background in PDEs and, more importantly, linear algebra, is assumed,\\nalthough the viewer will find that we develop all the relevant ideas that are needed.\\n\\nThe development itself focuses on the classical forms of partial differential equations (PDEs):\\nelliptic, parabolic and hyperbolic. At each stage, however, we make numerous connections to\\nthe physical phenomena represented by the PDEs. For clarity we begin with elliptic PDEs in\\none dimension (linearized elasticity, steady state heat conduction and mass diffusion). We\\nthen move on to three dimensional elliptic PDEs in scalar unknowns (heat conduction and\\nmass diffusion), before ending the treatment of elliptic PDEs with three dimensional problems\\nin vector unknowns (linearized elasticity). Parabolic PDEs in three dimensions come next\\n(unsteady heat conduction and mass diffusion), and the lectures end with hyperbolic PDEs in\\nthree dimensions (linear elastodynamics). Interspersed among the lectures are responses to\\nquestions that arose from a small group of graduate students and post-doctoral scholars who\\nfollowed the lectures live. At suitable points in the lectures, we interrupt the mathematical\\ndevelopment to lay out the code framework, which is entirely open source, and C++ based.\\n\\nBooks:\\nThere are many books on finite element methods. This class does not have a required\\ntextbook. However, we do recommend the following books for more detailed and broader\\ntreatments than can be provided in any form of class:\\n\\nThe Finite Element Method: Linear Static and Dynamic Finite Element Analysis, T.J.R.\\nHughes, Dover Publications, 2000.\\n\\nThe Finite Element Method: Its Basis and Fundamentals, O.C. Zienkiewicz, R.L. Taylor and\\nJ.Z. Zhu, Butterworth-Heinemann, 2005.\\n\\nA First Course in Finite Elements, J. Fish and T. Belytschko, Wiley, 2007.\\n\\nResources:\\nYou can download the deal.ii library at dealii.org. The lectures include coding tutorials where\\nwe list other resources that you can use if you are unable to install deal.ii on your own\\ncomputer. You will need cmake to run deal.ii. It is available at cmake.org.","partial differential equations; computational fluid dynamics; computational mechanics; c++; computational physics; fluid mechanics; finite differences; Mechanical Engineering; numerical analysis; differential equations","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[41.3,57]","[NULL]","English","physical-science-and-engineering","mechanical-engineering","2hftuq2dEeW8PhJ7jZ5xaQ"]
["Math","Differential Equations","Introduction to Ordinary Differential Equations","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",22.4,4.5,"https://www.coursera.org/learn/ordinary-differential-equations","In this introductory course on Ordinary Differential Equations, we first provide basic terminologies on the theory of differential equations and then proceed to methods of solving various types of ordinary differential equations. We handle first order differential equations and then second order linear differential equations. We also discuss some related concrete mathematical modeling problems, which can be handled by the methods introduced in this course.\\n\\nThe lecture is self contained. However, if necessary, you may consult any introductory level text\\non ordinary differential equations. For example, \"Elementary Differential Equations and Boundary Value Problems\\nby W. E. Boyce and R. C. DiPrima from John Wiley & Sons\" is a good source for further study on the subject.\\n\\nThe course is mainly delivered through video lectures. At the end of each module, there will be a quiz consisting of several problems related to the lecture of the week.","linearity; linear equation; system of linear equations; spring; calculus; mathematical model; linear independence; differential equations; partial differential equations; ordinary differential equation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.6,27.9]","[NULL]","English","math-and-logic","math-and-logic","rl9wb4O8EeetQwoqGsZceA"]
["Math","Game Theory","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Advanced",39.3,4.91,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","detergent; two-part tariff; operations research; Chemical Engineering; game theory; industrial engineering; bertrand competition; law; Chemical Analysis; nash equilibrium","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.6,57.4]","[NULL]","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Math","Game Theory","Firm Level Economics: Markets and Allocations","University of Illinois at Urbana-Champaign","Advanced",19.2,4.84,"https://www.coursera.org/learn/firm-level-economics-markets","In this class, we will derive equilibrium outcomes across a variety of market structures. We will begin by understanding equilibrium under a market structure called Perfect Competition, a benchmark construction. Economists have tools to measure the efficiency of market outcomes. We next consider the polar extreme of a competitive market: a monopoly market. We will determine the monopoly equilibrium price and quantity and efficiency properties. Much economic activity takes place in markets with just a handful of very large producers. To understand equilibrium in these oligopoly markets requires more careful attention to strategic interdependence. To capture this interdependence, we consider collusive arrangements among a small number of rivals as well as the use of simple game theoretic techniques to model equilibrium. Market Failure describes situations where markets fail to find the efficient outcome. Information asymmetries are one fertile form of market failure. Another form of market failure occurs when externalities are present. We will examine one key externality, pollution, and construct a policy prescription to mitigate the negative efficiency impacts of this externality.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tExplain how different market structures result in different resource allocations.\\n•\\tModel the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity after the impact of this external shock has played out.\\n•\\tEvaluate the efficiency of an equilibrium. Different market structures produce different levels of efficiency.  \\n•\\tExplain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets.\\n•\\tDescribe how information problems can cause inefficient outcomes.\\n•\\tUnderstand externalities and consider optimal government response to these market failures.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","competitiveness; competition (economics); game theory; externality; analysis; perfect competition; Economic Analysis; managerial economics; Economics; market (economics)","Managerial Economics and Business Analysis",2.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[11.8,22]","[NULL]","English","business","finance","UwQkL5z8EeWJORITtzkPnQ"]
["Math","Game Theory","Market and Competition in Pricing Strategy","University of Virginia","Advanced",17.7,4.83,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-market-competition","If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.","product lining; market (economics); pricing strategies; competition (economics); market segmentation; product bundling; pricing; competitiveness; price discrimination; product (business)","Pricing Strategy Optimization",3.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[10.6,18.9]","[NULL]","English","business","marketing","yqbsd4DiEea0rRKMrzxAVw"]
["Math","Game Theory","Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator","Yale University","Beginner",26.6,4.81,"https://www.coursera.org/learn/negotiation","This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.\\n\\nIn this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain. Enjoy.","cooperation; integration testing; collaboration; game theory; you can negotiate anything; communication; principled negotiation; negotiation; strategic negotiations; strategic thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,33.5]","Arabic","English","business","business-essentials","tGbJuel4EeSnMSIACzuFJw"]
["Math","Game Theory","Introduction to Game Development","Michigan State University","Beginner",37.2,4.78,"https://www.coursera.org/learn/game-development","If you love games and want to learn how to make them, then this course will start you down that path. Making games is a creative and technical art form. In this course you will familiarize yourself with the tools and practices of game development. You will get started developing your own videogames using the industry standard game development tools, including the Unity3D game engine and C#. At the end of the course you will have completed three hands-on projects and will be able to leverage an array of game development techniques to create your own basic games. This course is for individuals interested in becoming a game designer, game artist, or game programmer.","c sharp (programming language); unity (user interface); video game development; language; interfaces; game design; computer programming; user interface; programming language; java annotation","Game Design and Development",1.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[19.8,69]","[NULL]","English","computer-science","software-development","2H8ExCTIEeWeDBJG1XrG0w"]
["Math","Game Theory","Model Thinking","University of Michigan","Beginner",38.0,4.77,"https://www.coursera.org/learn/model-thinking","We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. \\n\\nThe models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!","strategic thinking; game theory; modeling; analysis; simulation; solidworks; thought; decision-making; Economics; financial modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.6,50.9]","Arabic; Turkish; Chinese; Portuguese","English","social-sciences","economics","kbmiwPT-EeSW1SIAC3oCCQ"]
["Math","Game Theory","Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital","Erasmus University Rotterdam","Intermediate",25.8,4.73,"https://www.coursera.org/learn/advanced-valuation-and-strategy","Hi and welcome to this course! \\n\\nWould you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!\\n\\nWe will revolutionize your way of decision making, by extending static techniques from corporate finance with dynamic methods to quantify strategic thinking. Traditionally, we assess the attractiveness of an investment as a mature business, where future cash flows mainly result from past decisions. But, in an ever-changing world, strategic decisions determine the firm’s long-term success and market value. Yet managers often have to consider these long-term implications using intuition and experience alone, with little guidance from structured, quantitative analysis.\\n\\nOur treatment goes far beyond the use of standard valuation analysis. We introduce the expanded NPV, which brings together DCF, real options, and game theory. Thinking in terms of options, games, and adaptive strategies may help managers address strategic questions such as: How do you value a leveraged buyout? How can you value a high-tech venture with negative cash flows? When should you invest in new ventures in stages? How can you incorporate rival bidders in the analysis?\\n\\nThe tools we provide can improve your decisions in business and in daily life.\\n\\n* Who is this class for?\\nWe hope that our course appeals to (graduate) students in finance, economics, and business, as well as to high-ranking professionals and a general audience. This course is particularly interesting for venture capitalists, private equity investors, investment bankers, CEOs, CFOs, and those who aspire these affiliations. We offer this MOOC at 3 levels:\\n\\n1.Executive Summary: \\nThis 1-week module provides critical insights into the principles of corporate valuation and strategy. This is accessible for time-constrained executives and the general audience without any prior knowledge.\\n\\n2. Student Level:\\nThis level involves an understanding of the technical details.  This level requires basic knowledge of concepts in corporate finance, e.g., the time value of money, financial statement analysis, capital structure, and the relation between risk and returns. Learners of this level can skip week 1.\\n\\n3. Honors Level (honors certificate): \\nThis level is challenging, engaging, and compelling to an intellectually rigorous student.","valuation of options; valuation (finance); game theory; finance; options strategies; real options; corporate finance; investment; mergers and acquisitions; real options valuation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.3,38.1]","Spanish","English","business","finance","qTCeNxYVEeiu5xKRVYA-JA"]
["Math","Game Theory","Competitive Strategy","Ludwig-Maximilians-Universität München (LMU)","Intermediate",17.0,4.68,"https://www.coursera.org/learn/competitive-strategy","In this six-module course, you will learn how businesses and organizations behave in situations in which strategic decisions are interdependent, i.e. where my actions affect my competitors' profits and vice versa. Using the basic tools of game theory, we will analyse how businesses choose strategies to attain competitive advantage.\\n\\nThis course is also available in Chinese. Please go to our course catalog to access the Chinese version of Competitive Strategy.","product (business); competitiveness; competition (economics); strategic thinking; pricing; analysis; management; Economics; strategic management; game theory","Competitive Strategy and Organization Design",1.0,"https://www.coursera.org/specializations/competitive-strategy","Paired with humorous elements and illustrating examples, the Competitive Strategy and Organization Design specialization is the ideal choice for curious individuals who enjoy unique learning experiences and innovative teaching approaches. Its style is likely to appeal especially to young, middle-aged and young-at-heart learners.\\n\\nThe specialization is indended for learners interested in engaging in fundamental theories and concepts of strategy and organization and applying these to practice. Employed professionals and management students will benefit from deepening and refreshing their existing knowledge by means of our specialization. Learners with non-business backgrounds will gain valuable additional business insights complementing their existing knowledge.\\n\\nParticipants will learn to understand and analyze\\n\\n● behavior of organizations in situations in which strategic decisions are interdependent\\n\\n● strategies to build up and maintain a customer base\\n\\n● internal workings of an organization as well as its interaction with the outside world, i.e. partners, complementors and competitors\\n\\n● the design of an effective organization that can compete, grow and adjust flexibly to different environments\\n\\nThis specialization is the only online learning program in which students can learn and laugh at the same time. That said, we are looking forward to learning and laughing with you!","[10.2,24]","Chinese; Spanish; Ukrainian","English","business","business-strategy","5Ih5rOq7EeODsBIxORBKNw"]
["Math","Game Theory","Welcome to Game Theory","The University of Tokyo","Advanced",20.8,4.61,"https://www.coursera.org/learn/game-theory-introduction","This course provides a brief introduction to game theory. Our main goal is to understand the basic ideas behind the key concepts in game theory, such as equilibrium, rationality, and cooperation. The course uses very little mathematics, and it is ideal for those who are looking for a conceptual introduction to game theory.\\n\\nBusiness competition, political campaigns, the struggle for existence by animals and plants, and so on, can all be regarded as a kind of “game,” in which individuals try to do their best against others. Game theory provides a general framework to describe and analyze how individuals behave in such “strategic” situations.\\n\\nThis course focuses on the key concepts in game theory, and attempts to outline the informal basic ideas that are often hidden behind mathematical definitions. Game theory has been applied to a number of disciplines, including economics, political science, psychology, sociology, biology, and computer science. Therefore, a warm welcome is extended to audiences from all fields who are interested in what game theory is all about.","Planning; number theory; strategic planning; animal behavior; game theory; cooperation; behavioral economics; corporate finance; nash equilibrium; Economics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,28.8]","[NULL]","English","social-sciences","economics","hhFDsQ72EeWPhwrBf2tcNQ"]
["Math","Game Theory","International Cyber Conflicts","The State University of New York","Intermediate",8.7,4.44,"https://www.coursera.org/learn/cyber-conflicts","By nature, cyber conflicts are an international issue that span across nation-state borders. By the end of the course, you will be able to apply the knowledge gained for analysis and management of international cyber incidents and conflicts including for activities such as development of policy related to cybercrime and cyberwarfare. Management of cyber incidents and conflicts requires an interdisciplinary perspective including an understanding of: 1) characteristics of the cyber threats and conflicts themselves, 2) international efforts to reduce and improve cyber security, and 3) psychological and sociopolitical factors. \\n\\nThe course is designed to reach an international audience and will encourage discussion on relevant current events among participants to enrich the experience with various personal and cultural perspectives on cutting-edge issues. In addition, assignments and other assessments will supplement video lectures and selected readings to ensure application of the material.\\n\\n\\nAfter taking this course you will be able to:\\n\\n• Identify different types of actors involved in cyber threats (individuals, organizations & nation-states)\\n• Distinguish between different types of threats and issues in cyber security including, data theft, political espionage, critical infrastructure protection, and propaganda\\n• Detail the basic characteristics of the Internet infrastructure and international efforts to address Internet governance\\n• List several international efforts to address cyber crime and espionage\\n• Evaluate how principals that govern international conflicts might be applied in context of cyber security\\n• Apply different psychological theories of human motivation and cooperation and communication and political theories in analysis of different international issues related to cyber security including censorship, media operations and role of social technologies.\\n\\n\\nGrading:\\n\\nYour grade is assessed based on discussion posts and quizzes. Individual taking this course for credit (i.e. students at the University at Albany y will be required to engage in additional activities communicated to them directly). \\n\\n\\nRecommended Background:\\n\\nNo background knowledge or skills are necessary, but an understanding and familiarity of cyber security, Internet infrastructure and international law would be advantageous for anyone who participates in the course.\\n\\n\\nACKNOWLEDGEMENTS\\n\\nErsin Dincelli and Nic DePaula were the instructional designers for the course who assisted in the recording of the videos, reviewing material, creating slides, assessments and some of the content. Without their tremendous effort this would not have been possible. We also acknowledge the financial support for the recordings from the University at Albany as well as the support from Media and Marketing. Finally, thanks to Lisa Stephens who is the SUNY liaison to Coursera for being a strong supporter of the MOOC.","internet; cyberterrorism; cybersecurity; cybercrime; crime; security; cyberwarfare; law; international law; military","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,10.6]","[NULL]","English","computer-science","computer-security-and-networks","8TKORJrSEeW6bw4ogk2HGQ"]
["Math","Game Theory","Games without Chance: Combinatorial Game Theory","Georgia Institute of Technology","Advanced",8.3,4.3,"https://www.coursera.org/learn/combinatorial-game-theory","This course will cover the mathematical theory and analysis of simple games without chance moves.","number theory; portable document format; combinatorial game theory; combinatorics; seeks; prior probability; grundy number; game theory; toad (software); surveying","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,9.7]","[NULL]","English","math-and-logic","math-and-logic","k2Ty4TonEeWO-Qq6rEZAow"]
["Math","Graph Theory","Advanced Data Structures in Java","University of California San Diego","Intermediate",22.0,4.73,"https://www.coursera.org/learn/advanced-data-structures","How does Google Maps plan the best route for getting around town given current traffic conditions?  How does an internet router forward packets of network traffic to minimize delay?  How does an aid group allocate resources to its affiliated local partners?\\n\\nTo solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.  You will develop, implement, and analyze algorithms for working with this data to solve real world problems.   In addition, as the programs you develop in this course become more complex, we’ll examine what makes for good code and class hierarchy design so that you can not only write correct code, but also share it with other people and maintain it in the future.\\n\\nThe backbone project in this course will be a route planning application.  You will apply the concepts from each Module directly to building an application that allows an autonomous agent (or a human driver!) to navigate its environment.  And as usual we have our different video series to help tie the content back to its importance in the real world and to provide tiered levels of support to meet your personal needs.","graph data structures; data structure; graph traversal; graphs; graph (abstract data type); graph algorithms; data uri scheme; search algorithm; algorithms; java (software platform)","Object Oriented Java Programming: Data Structures and Beyond",3.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[13.8,34.6]","[NULL]","English","computer-science","algorithms","NwQ9txnoEeWDtQoum3sFeQ"]
["Math","Graph Theory","Comparing Genes, Proteins, and Genomes (Bioinformatics III)","University of California San Diego","Advanced",22.9,4.72,"https://www.coursera.org/learn/comparing-genomes","Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.\\n\\nIn the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins.  We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.\\n\\nIn the second half of the course, we will \"zoom out\" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution.  Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are \"fragile\" and more susceptible to be broken as part of genome rearrangements?  We will see how combinatorial algorithms will help us answer this question.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.","human genome; genome; analysis; bioinformatics; sequence alignment; computational biology; protein; genomics; DNA; a t.i.m.e.","Bioinformatics",3.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11,37]","[NULL]","English","life-sciences","health-informatics","QxbndN9FEeWxQg6ioCYbHw"]
["Math","Graph Theory","Algorithms on Graphs","University of California San Diego","Intermediate",15.9,4.67,"https://www.coursera.org/learn/algorithms-on-graphs","If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.\\n\\nIn this course, you will first learn what a graph is and what are some of the most important properties. Then you'll learn several ways to traverse graphs and how you can do useful things while traversing the graph in some order. We will then talk about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services. You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. We will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.","graphs; kruskal's algorithm; graph theory; algorithms; dijkstra's algorithm; bellman ford algorithm; graph algorithms; fisher yates shuffle; prim's algorithm; tree traversal","Data Structures and Algorithms",3.0,"https://www.coursera.org/specializations/data-structures-algorithms","This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms...or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time — you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.","[9.6,20.2]","[NULL]","English","computer-science","algorithms","R1xPlXlzEeW3pg6oA-kqJQ"]
["Math","Graph Theory","Discrete Math and Analyzing Social Graphs","National Research University Higher School of Economics","Intermediate",8.5,4.63,"https://www.coursera.org/learn/discrete-math-and-analyzing-social-graphs","The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis.\\n\\nWe will start with a brief introduction to combinatorics, the branch of mathematics that studies how to count. Basics of this topic are critical for anyone working in Data Analysis or Computer Science. We will illustrate new knowledge, for example, by counting the number of features in data or by estimating the time required for a Python program to run.\\n\\nNext, we will apply our knowledge in combinatorics to study basic Probability Theory. Probability is everywhere in Data Analysis and we will study it in much more details later. Our goals for probability section in this course will be to give initial flavor of this field.\\n\\nFinally, we will study the combinatorial structure that is the most relevant for Data Analysis, namely graphs. Graphs can be found everywhere around us and we will provide you with numerous examples. We will mainly concentrate in this course on the graphs of social networks. We will provide you with relevant notions from the graph theory, illustrate them on the graphs of social networks and will study their basic properties. In the end of the course we will have a project related to social network graphs.\\n\\nAs prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in Python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in Data Analysis, starting from motivated high school students.","Data Science; combination; algorithms; calculus; math; linear algebra; probability; discrete mathematics; statistics; optimization algorithms and methods","Mathematics for Data Science",1.0,"https://www.coursera.org/specializations/mathematics-for-data-science","Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.","[3.4,9.9]","[NULL]","English","math-and-logic","math-and-logic","Yv6V9vYyEemyJQ5Yl6fTyg"]
["Math","Graph Theory","Integrated Analysis in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",5.9,4.62,"https://www.coursera.org/learn/integrated-analysis","This course will focus on developing integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.","luciferase; biomedical engineering; biology; systems biology; Kinases; bios; biotechnology; molecular biology; clinical research; genomics","Systems Biology and Biotechnology",5.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","[3.2,7.4]","[NULL]","English","life-sciences","health-informatics","dYlOzglOEeW-USIAC8GCHA"]
["Math","Graph Theory","Algorithmic Thinking (Part 1)","Rice University","Intermediate",19.7,4.6,"https://www.coursera.org/learn/algorithmic-thinking-1","Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.  This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of \"Algorithmic Thinking\", allowing them to build simpler, more efficient solutions to real-world computational problems.\\n\\nIn part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory.  As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets.  The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms.\\n\\nRecommended Background - Students should be comfortable writing intermediate size  (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in \"Principles of Computing\".","degree distribution; algorithms; algorithmics; python programming; computer network; graphs; algorithmic efficiency; pseudocode; graph (abstract data type); algebra","Fundamentals of Computing",5.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[13.1,23.2]","Spanish; Telugu; Korean; Greek","English","computer-science","software-development","jlAy87ZEEeWddwqLXioIgw"]
["Math","Graph Theory","Applied Social Network Analysis in Python","University of Michigan","Advanced",18.3,4.58,"https://www.coursera.org/learn/python-social-network-analysis","This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. \\n\\nThis course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.","social network analysis; python programming; network analysis; machine learning; graphs; graph theory; network theory; computer programming; analysis; social network","Applied Data Science with Python",5.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[8.3,28.5]","Korean","English","data-science","data-analysis","ZIVvfx00EeagBBLYvz0q6w"]
["Math","Graph Theory","Introduction to Graph Theory","University of California San Diego","Advanced",53.7,4.36,"https://www.coursera.org/learn/graphs","We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics;  is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathematical results, and insights into the deep theories behind them. \\n\\nIn this course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors. We will study Ramsey Theory which proves that in a large system, complete disorder is impossible! \\n\\nBy the end of the course, we will implement an algorithm which finds an optimal assignment of students to schools. This algorithm, developed by David Gale and Lloyd S. Shapley, was later recognized by the conferral of Nobel Prize in Economics.\\n\\nAs prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","vertex cover; flow network; algorithms; planar graphs; graphs; stable marriage problem; graph theory; eulerian path; hamiltonian path; ramsey's theorem","Introduction to Discrete Mathematics for Computer Science",3.0,"https://www.coursera.org/specializations/discrete-mathematics","Discrete Math is needed to see mathematical structures in the object you work with, and understand their properties. This ability is important for software engineers, data scientists, security and financial analysts (it is not a coincidence that math puzzles are often used for interviews). We cover the basic notions and results (combinatorics, graphs, probability, number theory) that are universally needed. To deliver techniques and ideas in discrete mathematics to the learner we extensively use interactive puzzles specially created for this specialization. To bring the learners experience closer to IT-applications we incorporate programming examples, problems and projects in our courses.","[12.6,92.3]","Greek","English","computer-science","algorithms","RRI51-ckEeaEXgo6pliZ4A"]
["Math","Linear Algebra","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Math","Linear Algebra","Matrix Algebra for Engineers","The Hong Kong University of Science and Technology","Intermediate",13.1,4.84,"https://www.coursera.org/learn/matrix-algebra-engineers","This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course.  There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity.  Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.\\n\\nThe course contains 38 short lecture videos, with a few problems to solve after each lecture.  And after each substantial topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes.  There are a total of four weeks in the course, and at the end of each week there is an assessed quiz.\\n\\nLecture notes can be downloaded from\\nhttp://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf","calculus; linear algebra; basis (linear algebra); quantum computing; math; eigenvalues and eigenvectors; matrices; linearity; algebra; sigma-algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,21.7]","[NULL]","English","math-and-logic","math-and-logic","H_rBZ9rMEeeCnw6tUJCJGg"]
["Math","Linear Algebra","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Math","Linear Algebra","Introduction to numerical analysis","National Research University Higher School of Economics","Advanced",14.5,4.72,"https://www.coursera.org/learn/intro-to-numerical-analysis","Numerical computations historically play a crucial role in natural sciences and engineering. These days however, it’s not only traditional «hard sciences»: whether you do digital humanities or biotechnology, whether you design novel materials or build artificial intelligence systems, virtually any quantitative work involves some amount of numerical computing .\\n\\nThese days, you hardly ever implement the whole computation yourselves from scratch. We rely on libraries which package tried-and-tested, battle-hardened numerical primitives. It is vanishingly rare however that a library contains a single pre-packaged routine which does all what you need. Numerical computing involves assembling these building blocks into computational pipelines.\\nThis kind of work requires a general understanding of basic numerical methods, their strengths and weaknesses, their limitations and their failure modes. \\n\\nAnd this is exactly what this course is about. It is meant to be an introductory, foundational course in numerical analysis, with the focus on basic ideas. We will review and develop basic characteristics of numerical algorithms (convergence, approximation, stability, computational complexity and so on), and will illustrate them with several classic problems in numerical mathematics. You will also work on implementing abstract mathematical constructions into working prototypes of numerical code. Upon completion of this course, you will have an overview of the main ideas of numerical computing, and will have a solid foundation for reading up on and working with more advanced numerical needs of your specific subject area.\\nAs prerequisites for this course, we assume a basic command of college-level mathematics (linear algebra and calculus, mostly), and a basic level of programming proficiency.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","sketchup; computer science; stochastic; numerical linear algebra; complex analysis; math; solidworks; abstract algebra; numerical analysis; linear algebra","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,19.4]","[NULL]","English","computer-science","algorithms","sZ-yG-mDEee1pg7iGbQOEg"]
["Math","Linear Algebra","Mathematics for Machine Learning: Multivariate Calculus","Imperial College London","Beginner",21.4,4.68,"https://www.coursera.org/learn/multivariate-calculus-machine-learning","This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.","lambda calculus; linear regression; multivariable calculus; calculus; modal μ-calculus; gradient; mathematical optimization; gradient descent; linearity; π-calculus","Mathematics for Machine Learning",2.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[12.3,26.7]","Spanish; Greek","English","math-and-logic","math-and-logic","oXasXIY_EeeL9BLE3sEj-g"]
["Math","Linear Algebra","Computational Neuroscience","University of Washington","Intermediate",30.7,4.6,"https://www.coursera.org/learn/computational-neuroscience","This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.","biological neuron model; neuroscience; reinforcement; information theory; computation; neuron (software); reinforcement learning; modeling; computational neuroscience; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[20.1,41]","[NULL]","English","data-science","machine-learning","0w0JAG9JEeSp0iIAC12Jpw"]
["Math","Linear Algebra","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Linear Algebra","Advanced Linear Models for Data Science 1: Least Squares","Johns Hopkins University","Advanced",12.8,4.27,"https://www.coursera.org/learn/linear-models","Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:\\n\\n- A basic understanding of linear algebra and multivariate calculus.\\n- A basic understanding of statistics and regression models.\\n- At least a little familiarity with proof based mathematics.\\n- Basic knowledge of the R programming language.\\n\\nAfter taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.","least squares; linear regression; linear algebra; linearity; statistics; linear model; variance; matrices; math; square (algebra)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,15.9]","[NULL]","English","data-science","probability-and-statistics","9u1jAWLFEeWUshLcukZCkw"]
["Math","Mathematical Theory & Analysis","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","numpy; backpropagation; computer programming; logistic regression; supply chain; learning; feedforward neural network; python programming; deep learning; artificial neural network","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.2]","French; Korean; Portuguese; Japanese; Chinese; Vietnamese; Arabic; Turkish; Ukrainian; Spanish","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["Math","Mathematical Theory & Analysis","Introduction to Complex Analysis","Wesleyan University","Advanced",35.4,4.85,"https://www.coursera.org/learn/complex-analysis","This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dynamics, power series representation and Laurent series into territories at the edge of what is known today. Each module consists of five video lectures with embedded quizzes, followed by an electronically graded homework assignment.  Additionally, modules 1, 3, and 5 also contain a peer assessment. \\n \\nThe homework assignments will require time to think through and practice the concepts discussed in the lectures. In fact, a significant amount of your learning will happen while completing the homework assignments. These assignments are not meant to be completed quickly; rather you'll need paper and pen with you to work through the questions. In total, we expect that the course will take 6-12 hours of work per module, depending on your background.","real analysis; calculus; analytics; geometry; complex analysis; analysis; iteration; power series; compiler optimizations; integral","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.5,47.4]","[NULL]","English","math-and-logic","math-and-logic","PwuYBQZREeW5gyIACwQVNg"]
["Math","Mathematical Theory & Analysis","Introduction to Formal Concept Analysis","National Research University Higher School of Economics","Advanced",49.2,4.78,"https://www.coursera.org/learn/formal-concept-analysis","This course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. In this course, we focus on some of these techniques, as well as cover the theoretical foundations and algorithmic issues of FCA.\\nUpon completion of the course, the students will be able to use the mathematical techniques and computational tools of formal concept analysis in their own research projects involving data processing. Among other things, the students will learn about FCA-based approaches to clustering and dependency mining.\\nThe course is self-contained, although basic knowledge of elementary set theory, propositional logic, and probability theory would help.\\nEnd-of-the-week quizzes include easy questions aimed at checking basic understanding of the topic, as well as more advanced problems that may require some effort to be solved.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","conceptual clustering; association rule learning; canonical basis; knowledge representation; reduced form; functional dependency; formal concept analysis; small-c; database; interactivity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[26.5,75.8]","[NULL]","English","data-science","data-analysis","cToN5wq_EeaZjRK710Nmmw"]
["Math","Mathematical Theory & Analysis","Mathematics for Machine Learning: Linear Algebra","Imperial College London","Beginner",22.0,4.56,"https://www.coursera.org/learn/linear-algebra-machine-learning","In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.\\nSince we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.\\n\\nAt the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.","linearity; eigenvalues and eigenvectors; pagerank; basis (linear algebra); matrices; algebra; transformation matrix; sigma-algebra; python programming; linear algebra","Mathematics for Machine Learning",1.0,"https://www.coursera.org/specializations/mathematics-machine-learning","For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.\\n\\nIn the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them.\\n\\nThe second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting.\\n\\nThe third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge.\\n\\nAt the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.","[13.7,26.9]","[NULL]","English","data-science","machine-learning","ARf5_jvZEeeYEBLbuVGJ2g"]
["Math","Mathematical Theory & Analysis","Business Analytics for Decision Making","University of Colorado Boulder","Advanced",16.0,4.51,"https://www.coursera.org/learn/business-analytics-decision-making","In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.","cluster analysis; analysis; uncertainty; simulation; data analysis; analytics; data clustering algorithms; business analytics; data uri scheme; mathematical optimization","Advanced Business Analytics",3.0,"https://www.coursera.org/specializations/data-analytics-business","The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.\\n\\nThe problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving.\\n\\nCheck out a one-minute video about this specialization to learn more!","[6.1,22.7]","Korean; Arabic","English","data-science","data-analysis","oeHwKhiDEea2Gw5ROLcooQ"]
["Math","Mathematical Theory & Analysis","Probability Theory, Statistics and Exploratory Data Analysis","National Research University Higher School of Economics","Advanced",4.3,4.59,"https://www.coursera.org/learn/probability-theory-statistics","Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. \\n\\nThe core concept of the course is random variable — i.e. variable whose values are determined by random experiment. Random variables are used as a model for data generation processes we want to study. Properties of the data are deeply linked to the corresponding properties of random variables, such as expected value, variance and correlations. Dependencies between random variables are crucial factor that allows us to predict unknown quantities based on known values, which forms the basis of supervised machine learning. We begin with the notion of independent events and conditional probability, then introduce two main classes of random variables: discrete and continuous and study their properties. Finally, we learn different types of data and their connection with random variables.\\n\\nWhile introducing you to the theory, we'll pay special attention to practical aspects for working with probabilities, sampling, data analysis, and data visualization in Python.\\n\\nThis course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals).","statistics; variance; correlation and dependence; randomness; probability theory; random variable; .properties; covariance; probability; conditional probability","Mathematics for Data Science",4.0,"https://www.coursera.org/specializations/mathematics-for-data-science","Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.","[1,3.9]","[NULL]","English","math-and-logic","math-and-logic","Qj2TzfF1EemW0hLBeDiHeA"]
["Math","Network Analysis","Social Network Analysis","University of California, Davis","Beginner",18.0,4.85,"https://www.coursera.org/learn/social-network-analysis","This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.","social network analysis; computational social science; social network; modeling; network science; ethics of artificial intelligence; agent-based model; computer programming; analysis; network analysis","Computational Social Science",3.0,"https://www.coursera.org/specializations/computational-social-science-ucdavis","For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\\n\\nAn increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.\\n\\nThis specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.","[11.7,24.3]","[NULL]","English","data-science","data-analysis","hwvdsk86Eem0lhKc4vCNig"]
["Math","Network Analysis","Networking in Google Cloud: Hybrid Connectivity and Network Management","Google Cloud","Beginner",16.0,4.82,"https://www.coursera.org/learn/networking-gcp-hybrid-connectivity-network-management","This self-paced training course builds on the Networking in Google Cloud: Defining and Implementing Networks course and enhances participants study of networking options on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy Google Cloud networking technologies, such as the interconnection among networks, common network design patterns and the automated deployment of networks using Deployment Manager or Terraform. The course also covers networking pricing and billing to help you  optimize your network spend and monitoring and logging features that can help you troubleshoot your Google Cloud network infrastructure.\\n\\nTo get the most out of this course, participants should have:\\n*Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n*Completed Networking in Google Cloud: Defining and Implementing Networks \\n*Prior understanding of the OSI 7-layer model\\n*Prior understanding of IPv4 addressing\\n*Prior experience with managing IPv4 routes","Planning; google; network planning and design; network monitoring; google cloud platform; cloud computing; network service; network analysis; management; network management","Networking in Google Cloud",3.0,"https://www.coursera.org/specializations/networking-google-cloud-platform","This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager.\\n\\nThis class is intended for the following participants:\\n\\n● Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so\\n\\n● Individuals who want to be exposed to software-defined networking solutions in the cloud.\\n\\nTo get the most out of this course, participants should have:\\n\\n*Prior understanding of the OSI 7-layer model\\n\\n*Prior understanding of IPv4 addressing\\n\\n*Prior experience with managing IPv4 routes","[7.2,19.2]","[NULL]","English","information-technology","networking","UcnQ8LXsEeicHA7pKRXCQg"]
["Math","Network Analysis","Network Protocols and Architecture","Cisco","Intermediate",24.9,4.79,"https://www.coursera.org/learn/network-protocols-architecture","Welcome to the second of five courses in the Cisco Networking Basics Specialization.\\n\\nHave ever wondered how devices on computer networks truly communicate?  There are specific protocols or rules and standards that every device must follow to access the Internet and to communicate over a network.   In this course, you will examine the principles of network communication, how networks are designed and what specifically is being sent and received by different devices when we send pictures, text messages, video or any other data across the network. What exactly is sent and how is it sent are the questions that will be answered in this course.\\n\\nAt the end of this course, you will be able to:\\n\\n1. Explain how protocols and standards benefit a global internetwork.\\n2. Describe how the Ethernet Protocol transmits data within a LAN.\\n3. Explain IPv4 addressing and the role subnet masks.\\n4. Use Cisco Packet Tracer to connect hosts to a wireless router in a LAN.\\n5. Use a protocol analyzer or \"packet sniffer\" to open and examine a data packet that has been transmitted across a network.\\n6. Examine a Windows computer to locate the physical or MAC address used send and receive data.","network architecture; network planning and design; communications protocol; Planning; architecture; network protocols; network analysis; subnetwork; ip address; ipv4","Cisco Networking Basics",2.0,"https://www.coursera.org/specializations/networking-basics","Welcome to the Cisco Networking Basics Specialization. The five courses included in this specialization are designed for beginners in computing that want to understand the basics of how data is sent and received in a network and how small computer networks are created. People who may be in non-networking professions that want to understand how their home or small business networks actually work will enjoy this course.\\n\\nThese courses introduce a variety of concepts, practice activities and simulations that help build the learner’s skills and understanding of computer networking. You will learn how to set up a basic home network, configure devices for connectivity, understand how communication takes place on a network, and what minimal best practices should be implemented to secure the network. Learners will also be introduced to Cisco IOS® software used to manage Cisco routers and switches.\\n\\nPrevious networking knowledge is not required.","[6.9,42.5]","[NULL]","English","information-technology","networking","MQrZed6qEea1GxJaUkD3Jg"]
["Math","Network Analysis","Internet Connection: How to Get Online?","Cisco","Beginner",20.9,4.75,"https://www.coursera.org/learn/internet-connection-how-to-get-online","Welcome to the first of five courses in the Cisco Networking Basics Specialization.\\n\\nThis course is developed by the Cisco Networking Academy. Cisco Networking Academy is an IT skills and career building program that connects millions of students, educators, and employers worldwide. Cisco partners with learning institutions worldwide to deliver technical training and problem-solving experiences to individuals studying networking, security, and IoT technologies. We've helped more than 6 million people prepare for IT careers since 1997.\\n\\nHave you ever wondered how you are able to open a web page from a server that is located in another country or how you are able to send documents and videos to the intended recipient without it going to the wrong device? In this course, you will be introduced to the fundamentals concepts of computer networking. More importantly, by the end of this course, you will understand how data travels in your home network.\\n\\nAt the end of this course, you will be able to:\\n\\n1. Explain how data networks work.\\n2. Define basic data networking terms.\\n3. Explain what is needed for devices to have network connectivity or Internet access.\\n4. Use the Cisco Packet Tracer simulation and modeling tool to build and test a small data network.\\n5. Identify the devices and component on your home network.\\n6. Build a simple peer-to-peer network.","Cisco; internet; Cabling; simulation; network simulation; peer-to-peer; network packet; Ethernet; ethernet cables; ip address","Cisco Networking Basics",1.0,"https://www.coursera.org/specializations/networking-basics","Welcome to the Cisco Networking Basics Specialization. The five courses included in this specialization are designed for beginners in computing that want to understand the basics of how data is sent and received in a network and how small computer networks are created. People who may be in non-networking professions that want to understand how their home or small business networks actually work will enjoy this course.\\n\\nThese courses introduce a variety of concepts, practice activities and simulations that help build the learner’s skills and understanding of computer networking. You will learn how to set up a basic home network, configure devices for connectivity, understand how communication takes place on a network, and what minimal best practices should be implemented to secure the network. Learners will also be introduced to Cisco IOS® software used to manage Cisco routers and switches.\\n\\nPrevious networking knowledge is not required.","[6.7,35.1]","[NULL]","English","information-technology","networking","TGXYUt6tEeaqohIywn9HJg"]
["Math","Network Analysis","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.8,13.3]","[NULL]","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Math","Network Analysis","Applied Social Network Analysis in Python","University of Michigan","Advanced",18.3,4.58,"https://www.coursera.org/learn/python-social-network-analysis","This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. \\n\\nThis course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.","social network analysis; python programming; network analysis; machine learning; graphs; graph theory; network theory; computer programming; analysis; social network","Applied Data Science with Python",5.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[8.3,28.5]","Korean","English","data-science","data-analysis","ZIVvfx00EeagBBLYvz0q6w"]
["Math","Network Analysis","Network Analysis in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",68.1,4.5,"https://www.coursera.org/learn/network-biology","An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology.","molecular biology; network analysis; biology; bioinformatics; microarray; systems biology; mass spectrometry; evolution; biotechnology; biomedical engineering","Systems Biology and Biotechnology",3.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","[20.1,99.5]","[NULL]","English","life-sciences","basic-science","Vrih-AYnEeWJMSIAC7Jl0w"]
["Probability & Statistics","Best Courses","Inferential Statistics","Duke University","Beginner",24.1,4.77,"https://www.coursera.org/learn/inferential-statistics-intro","This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data","hypothesis; confidence interval; software testing; r programming; statistical inference; statistics; hypothesis testing; statistical hypothesis testing; chi-squared distribution; inference","Statistics with R",2.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[16.3,30.4]","Korean","English","data-science","probability-and-statistics","u3goXsk9EeWT3Aqsn0BGnQ"]
["Probability & Statistics","Best Courses","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Probability & Statistics","Best Courses","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Probability & Statistics","Best Courses","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; microsoft excel; statistical hypothesis testing; confidence interval; software testing; statistics; data analysis; hypothesis testing; hypothesis","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.7,16.9]","[NULL]","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Probability & Statistics","Best Courses","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","multicollinearity; linear regression; business statistics; interaction; linearity; analysis; statistics; interaction (statistics); regression analysis; microsoft excel","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.4]","[NULL]","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Probability & Statistics","Best Courses","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","frequency distribution; pie chart; statistics; data analysis; confidence; statistical analysis; percentile; business statistics; basic descriptive statistics; analysis","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.5]","Arabic; Korean","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Probability & Statistics","Best Courses","Inferential and Predictive Statistics for Business","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.82,"https://www.coursera.org/learn/business-statistics","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. The course aim to cover statistical ideas that apply to managers. We will consider two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on  interpreting the meaning of the results in a business and managerial setting.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies.  This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tTest for beliefs about a population..\\n•\\tCompare differences between populations.\\n•\\tUse linear regression model for prediction. \\n•\\tLearn how to use Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","analysis; hypothesis testing; statistical analysis; hypothesis; business statistics; modeling; statistical inference; statistical hypothesis testing; average; statistics","Managerial Economics and Business Analysis",6.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.5,19.8]","Korean","English","business","business-essentials","SPXfEJz9EeWILQ7D3uPEMw"]
["Probability & Statistics","Best Courses","Improving your statistical inferences","Eindhoven University of Technology","Intermediate",21.4,4.86,"https://www.coursera.org/learn/statistical-inferences","This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. \\n\\nIn practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework.\\n\\nAll videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! \\n\\nIf you enjoyed this course, I can recommend following it up with me new course \"Improving Your Statistical Questions\"","bayesian statistics; bayesian; inference; statistical inference; statistics; bayesian inference; likelihood function; software testing; p-value; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,24.2]","Chinese; Italian","English","data-science","probability-and-statistics","tTIZY0EqEeaYxQofsrK9hw"]
["Probability & Statistics","Best Courses","Experimentation for Improvement","McMaster University","Intermediate",18.5,4.78,"https://www.coursera.org/learn/experimentation","We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? \\n\\nIn this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.\\n\\nWe use simple tools: starting with fast calculations by hand, then we show how to use FREE software. \\n\\nThe course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable.\\n\\nThis course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. \\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯\\nOver 1000 people have completed this online course. What have prior students said about this course?\\n\\n\"This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses].\"\\n\\n\"Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto.\"\\n\\n\"I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions.\" Jason Eriksen, 3 Jan 2017\\n\\n\"Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze.\" 20 February 2016.\\n\\n\"... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!\"\\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯","response surface methodology; experimental design; experiment; process optimization; factorial; mathematical optimization; computer programming; process; r programming; factorial experiment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,24.4]","Portuguese; Spanish","English","data-science","probability-and-statistics","TpvXIzxZEeWjyxInT4zYJQ"]
["Probability & Statistics","Best Courses","Bayesian Statistics: Techniques and Models","University of California, Santa Cruz","Advanced",48.7,4.65,"https://www.coursera.org/learn/mcmc-bayesian-statistics","This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data.","hierarchical database model; bayesian inference; bayesian network; gibbs sampling; analysis of variance; inference; bayesian; estimation; statistics; bayesian statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[25,85.9]","[NULL]","English","data-science","probability-and-statistics","w8XUd6IPEeabYQqQ7YU7Bg"]
["Probability & Statistics","Basic Descriptive Statistics","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","frequency distribution; pie chart; statistics; data analysis; confidence; statistical analysis; percentile; business statistics; basic descriptive statistics; analysis","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.5]","Arabic; Korean","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Probability & Statistics","Basic Descriptive Statistics","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Probability & Statistics","Basic Descriptive Statistics","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Probability & Statistics","Basic Descriptive Statistics","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Basic Descriptive Statistics","Probability and Statistics: To p or not to p?","University of London","Beginner",21.2,4.48,"https://www.coursera.org/learn/probability-statistics","We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.  Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events.\\n\\nTo study, or not to study?  To invest, or not to invest?  To marry, or not to marry?\\n\\nWhile uncertainty makes decision-making difficult, it does at least make life exciting!  If the entire future was known in advance, there would never be an element of surprise.  Whether a good future or a bad future, it would be a known future.\\n\\nIn this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.\\n\\nKey topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.","statistics; multivariate statistics; hypothesis testing; uncertainty; probability; probability and statistics; inference; statistical inference; hypothesis; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.1,30.4]","[NULL]","English","data-science","probability-and-statistics","b_ubIzckEeeeFwoohRNaig"]
["Probability & Statistics","Bayesian Statistics","Project: Language Classification with Naive Bayes in Python","Rhyme","Intermediate",3.3,5.0,"https://www.coursera.org/learn/language-classification","In this 1-hour long project, you will learn how to clean and preprocess data for language classification. You will learn some theory behind Naive Bayes Modeling, and the impact that class imbalance of training data has on classification performance. You will learn how to use subword units to further mitigate the negative effects of class imbalance, and build an even better model.","naive bayes classifier; language classification; language; statistical classification; bayesian; python programming; machine learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,3.5]","[NULL]","English","data-science","machine-learning","th2fP0nJEeqsfAqEdKLCNw"]
["Probability & Statistics","Bayesian Statistics","Improving your statistical inferences","Eindhoven University of Technology","Intermediate",21.4,4.86,"https://www.coursera.org/learn/statistical-inferences","This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. \\n\\nIn practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework.\\n\\nAll videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! \\n\\nIf you enjoyed this course, I can recommend following it up with me new course \"Improving Your Statistical Questions\"","bayesian statistics; bayesian; inference; statistical inference; statistics; bayesian inference; likelihood function; software testing; p-value; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,24.2]","Chinese; Italian","English","data-science","probability-and-statistics","tTIZY0EqEeaYxQofsrK9hw"]
["Probability & Statistics","Bayesian Statistics","An Intuitive Introduction to Probability","University of Zurich","Advanced",59.1,4.74,"https://www.coursera.org/learn/introductiontoprobability","This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a \"toolbox\" of methods to deal with uncertainty in your daily life. \\n\\nThe course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the \"tools\" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away. \\n\\nThe topics covered are: \"Probability\", \"Conditional Probability\", \"Applications\", \"Random Variables\", and \"Normal Distribution\".\\n\\nYou will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!","statistics; dynkin system; probability theory; probability; studentized residual; bayesian; chi-squared distribution; normal distribution; conditional probability; bayes' theorem","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,105.7]","Persian","English","data-science","probability-and-statistics","istduPpxEeWLNRKTxmetJQ"]
["Probability & Statistics","Bayesian Statistics","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Probability & Statistics","Bayesian Statistics","Bayesian Statistics: Techniques and Models","University of California, Santa Cruz","Advanced",48.7,4.65,"https://www.coursera.org/learn/mcmc-bayesian-statistics","This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data.","hierarchical database model; bayesian inference; bayesian network; gibbs sampling; analysis of variance; inference; bayesian; estimation; statistics; bayesian statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[25,85.9]","[NULL]","English","data-science","probability-and-statistics","w8XUd6IPEeabYQqQ7YU7Bg"]
["Probability & Statistics","Bayesian Statistics","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Bayesian Statistics","Machine Learning: Clustering & Retrieval","University of Washington","Advanced",45.2,4.61,"https://www.coursera.org/learn/ml-clustering-and-retrieval","Case Studies: Finding Similar Documents\\n\\nA reader is interested in a specific news article and you want to find similar articles to recommend.  What is the right notion of similarity?  Moreover, what if there are millions of other documents?  Each time you want to a retrieve a new document, do you need to search through all other documents?  How do you group similar documents together?  How do you discover new, emerging topics that the documents cover?   \\n\\nIn this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval.  In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA).  You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Create a document retrieval system using k-nearest neighbors.\\n   -Identify various similarity metrics for text data.\\n   -Reduce computations in k-nearest neighbor search by using KD-trees.\\n   -Produce approximate nearest neighbors using locality sensitive hashing.\\n   -Compare and contrast supervised and unsupervised learning tasks.\\n   -Cluster documents by topic using k-means.\\n   -Describe how to parallelize k-means using MapReduce.\\n   -Examine probabilistic clustering approaches using mixtures models.\\n   -Fit a mixture of Gaussian model using expectation maximization (EM).\\n   -Perform mixed membership modeling using latent Dirichlet allocation (LDA).\\n   -Describe the steps of a Gibbs sampler and how to use its output to draw inferences.\\n   -Compare and contrast initialization techniques for non-convex optimization objectives.\\n   -Implement these techniques in Python.","hierarchical clustering; k-d tree; algorithms; cluster analysis; machine learning; k-means clustering; latent dirichlet allocation; learning; data clustering algorithms; modeling","Machine Learning",4.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[17.7,65.9]","Arabic; Korean","English","data-science","data-analysis","-N44X0IJEeWpogr5ZO8qxQ"]
["Probability & Statistics","Bayesian Statistics","Bayesian Statistics: From Concept to Data Analysis","University of California, Santa Cruz","Intermediate",34.8,4.49,"https://www.coursera.org/learn/bayesian-statistics","This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.","bayesian inference; prior probability; bayesian statistics; conjugate prior; inference; studentized residual; r programming; probability; bayesian; statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14,53.8]","[NULL]","English","data-science","probability-and-statistics","Qqmr3fBKEeWLaBLI8fdMlw"]
["Probability & Statistics","Bayesian Statistics","Bayesian Methods for Machine Learning","National Research University Higher School of Economics","Advanced",43.8,4.47,"https://www.coursera.org/learn/bayesian-methods-in-machine-learning","People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like medicine. \\nWhen applied to deep learning, Bayesian methods allow you to compress your models a hundred folds, and automatically tune hyperparameters, saving your time and money.\\nIn six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. We will see how one can automate this workflow and how to speed it up using some advanced techniques. \\nWe will also see applications of Bayesian methods to deep learning and how to generate new images with it. We will see how new drugs that cure severe diseases be found with Bayesian methods.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","mathematical optimization; bayesian; variational bayesian methods; gaussian process; chaining; markov chain; inference; markov chain monte carlo; bayesian optimization; bayesian inference","Advanced Machine Learning",3.0,"https://www.coursera.org/specializations/aml","This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.","[21.8,67.7]","Korean","English","data-science","machine-learning","anas83IDEeenOwpmZ1LH1g"]
["Probability & Statistics","Bayesian Statistics","Data Science Math Skills","Duke University","Beginner",14.6,4.45,"https://www.coursera.org/learn/datasciencemathskills","Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. \\n\\nLearners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.\\n\\nTopics include:\\n~Set theory, including Venn diagrams\\n~Properties of the real number line\\n~Interval notation and algebra with inequalities\\n~Uses for summation and Sigma notation\\n~Math on the Cartesian (x,y) plane, slope and distance formulas\\n~Graphing and describing functions and their inverses on the x-y plane,\\n~The concept of instantaneous rate of change and tangent lines to a curve\\n~Exponents, logarithms, and the natural log function.\\n~Probability theory, including Bayes’ theorem.\\n\\nWhile this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, \"Mastering Data Analysis in Excel,\" which is part of the Excel to MySQL Data Science Specialization.  Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in \"Mastering Data Analysis in Excel.\" \\n\\nGood luck and we hope you enjoy the course!","bayesian; euler's totient function; statistics; math; bayes' theorem; probability; dynkin system; factorial; bayesian probability; probability theory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,18.3]","[NULL]","English","math-and-logic","math-and-logic","2RGeY3RDEeatvg5z1JaMJw"]
["Probability & Statistics","Bayesian Statistics","Fitting Statistical Models to Data with Python","University of Michigan","Beginner",6.1,4.47,"https://www.coursera.org/learn/fitting-statistical-models-data-python","In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.\\n\\nThis course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python).\\n\\nDuring these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.","multilevel model; linearity; statistics; marginal model; statistical models; integration testing; clinical study design; python programming; dependent and independent variables; bayesian","Statistics with Python",3.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[0.6,10.3]","Korean","English","data-science","probability-and-statistics","ZMF2csDUEeiy_Ao4qYTCkA"]
["Probability & Statistics","Bayesian Statistics","Mathematical Biostatistics Boot Camp 1","Johns Hopkins University","Advanced",21.8,4.41,"https://www.coursera.org/learn/biostatistics","This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.","conditional probability; studentized residual; confidence interval; cumulative distribution function; randomness; confidence; statistics; likelihood function; multivariate random variable; probability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,24.5]","[NULL]","English","math-and-logic","math-and-logic","qogqSFgBEeWBNwpVGuknww"]
["Probability & Statistics","Bioinformatics","Plant Bioinformatics","University of Toronto","Advanced",14.3,4.8,"https://www.coursera.org/learn/plant-bioinformatics","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under \"normal\" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question \"what processes/pathways are being perturbed in our mutant of interest?\"\\n\\nStructure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary.\\n\\nTools covered:\\nModule 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser\\nModule 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species other than Arabidopsis, MPSS database for small RNAs\\nModule 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2\\nModule 4: PROMOTER ANALYSIS. Cistome, Athena, ePlant\\nModule 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome)\\nModule 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA\\n\\n[Material updated in June 2019]","biology; microarray databases; gene regulatory network; plant; genetic engineering; bioinformatics; rna-seq; glycoside hydrolase; chia-pet; transcription factor","Plant Bioinformatic Methods",3.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[6.4,17.8]","[NULL]","English","life-sciences","health-informatics","mcijkf1VEeezpgor_5vl3A"]
["Probability & Statistics","Bioinformatics","Comparing Genes, Proteins, and Genomes (Bioinformatics III)","University of California San Diego","Advanced",22.9,4.72,"https://www.coursera.org/learn/comparing-genomes","Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.\\n\\nIn the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins.  We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.\\n\\nIn the second half of the course, we will \"zoom out\" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution.  Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are \"fragile\" and more susceptible to be broken as part of genome rearrangements?  We will see how combinatorial algorithms will help us answer this question.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.","human genome; genome; analysis; bioinformatics; sequence alignment; computational biology; protein; genomics; DNA; a t.i.m.e.","Bioinformatics",3.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11,37]","[NULL]","English","life-sciences","health-informatics","QxbndN9FEeWxQg6ioCYbHw"]
["Probability & Statistics","Bioinformatics","Genome Sequencing (Bioinformatics II)","University of California San Diego","Advanced",19.6,4.68,"https://www.coursera.org/learn/genome-sequencing","You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome?\\n\\nBiologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. \\n\\nIn the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end.  However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together.\\n\\nIn the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise.  You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies.  Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA.  We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance.","contigs; a t.i.m.e.; ant; genome; antibiotic; bioinformatics; biology; genomics; puzzle; computational biology","Bioinformatics",2.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[10.8,25.6]","Chinese; Portuguese","English","life-sciences","health-informatics","V2Rnzt9KEeWVFwqmKx7D2Q"]
["Probability & Statistics","Bioinformatics","Bioinformatics: Introduction and Methods 生物信息学: 导论与方法","Peking University","Advanced",32.8,4.65,"https://www.coursera.org/learn/bioinformatics-pku","A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research.\\n\\nCourse materials are available under the CC BY-NC-SA License.","biology; evolution; biotechnology; bioinformatics; zoology; genome; biochemistry; molecular biology; genetics; DNA","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.9,43.3]","[NULL]","English","life-sciences","health-informatics","HyhQe5oTEeWyeQoPPm9u3w"]
["Probability & Statistics","Bioinformatics","Bioinformatic Methods II","University of Toronto","Intermediate",10.8,4.66,"https://www.coursera.org/learn/bioinformatics-methods-2","Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. \\n\\nTopics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. \\n\\nThe first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. \\n\\nThis, the second part, Bioinformatic Methods II, will cover motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. \\n\\nThis pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine.\\n\\nThese courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course although some command line work (though within a web browser) occurs in the 5th module.\\n\\nBioinformatic Methods II is regularly updated, and was last updated for March 2020.","bioinformatics; protein; bioconductor; brca2; Gene Expression Analysis; analysis; gene expression; gene; protein structure; pearson product-moment correlation coefficient","Plant Bioinformatic Methods",2.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[6,13.6]","[NULL]","English","life-sciences","health-informatics","IfDtq1vFEeSKTyIAC0YL2w"]
["Probability & Statistics","Bioinformatics","Bioinformatic Methods I","University of Toronto","Intermediate",12.9,4.64,"https://www.coursera.org/learn/bioinformatics-methods-1","Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. \\n\\nTopics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. \\n\\nThe first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. \\n\\nThe second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. \\n\\nThis pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. \\n\\nThese courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course. \\n\\nBioinformatic Methods I is regularly updated, and was completely updated for January 2020.","multiple sequence alignment; phylogenetics; analysis; sequence alignment; Bioinformatics Analysis; comparative genomics; metagenomics; blast; genomics; bioinformatics","Plant Bioinformatic Methods",1.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[8.4,16.1]","[NULL]","English","life-sciences","health-informatics","5uXCfFu2EeSU0SIACxCMgg"]
["Probability & Statistics","Bioinformatics","Finding Hidden Messages in DNA (Bioinformatics I)","University of California San Diego","Advanced",18.0,4.56,"https://www.coursera.org/learn/dna-analysis","Named a top 50 MOOC of all time by Class Central!\\n\\nThis course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.\\n\\nIn the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin?  We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome.\\n\\nIn the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks.  The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA?  Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA.  Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems.\\n\\nFinally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go \"dormant\" within a host for many years before causing an active infection.","python programming; bioinformatics; computational biology; DNA; algorithms; bioinformatics algorithms; computer programming; dna patterns; genome; biology","Bioinformatics",1.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[9.6,24.1]","Portuguese","English","life-sciences","health-informatics","eL9HZ2ItEeWpHwqwM9Gg0w"]
["Probability & Statistics","Bioinformatics","Finding Mutations in DNA and Proteins (Bioinformatics VI)","University of California San Diego","Advanced",21.9,4.59,"https://www.coursera.org/learn/dna-mutations","In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.\\n\\nIn the first half of the course, we would like to ask how an individual's genome differs from the \"reference genome\" of the species. Our goal is to take small fragments of DNA from the individual and \"map\" them to the reference genome.  We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory.\\n\\nIn the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.  This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it.  The approach we will use is based on a powerful machine learning tool called a hidden Markov model.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins.","modeling; bioinformatics; suffix array; suffix tree; biology; envelope glycoprotein gp120; computational biology; DNA; covariance matrix; genomics","Bioinformatics",6.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11.9,31.7]","[NULL]","English","life-sciences","health-informatics","M5IS7Pw3EeW3kAo3Iffzfw"]
["Probability & Statistics","Bioinformatics","Introduction to Genomic Technologies","Johns Hopkins University","Beginner",9.0,4.52,"https://www.coursera.org/learn/introduction-genomics","This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.  \\n\\nThis is the first course in the Genomic Data Science Specialization.","computational biology; statistics; analysis; genomics; biology; molecular biology; data uri scheme; Data Science; computation; bioinformatics","Genomic Data Science",1.0,"https://www.coursera.org/specializations/genomic-data-science","With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.\\n\\nThis Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.\\n\\nThis Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.\\n\\nTo audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.","[5.1,10.7]","[NULL]","English","data-science","data-analysis","-zhQFJezEeWjfxIrc5BW9Q"]
["Probability & Statistics","Bioinformatics","Whole genome sequencing of bacterial genomes - tools and applications","Technical University of Denmark (DTU)","Intermediate",12.6,4.47,"https://www.coursera.org/learn/wgs-bacteria","This course will cover the topic of  Whole genome sequencing (WGS)  of bacterial genomes which is becoming more and more relevant for the medical sector.  WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. The course will give the learners a basis to understand and be acquainted with WGS applications in surveillance of bacteria including species identification, typing and characterization of antimicrobial resistance and virulence traits as well as plasmid characterization. It will also give the opportunity to learners to learn about online tools and what they can be used for through demonstrations on how to use some of these tools and exercises to be solved by learners with use of freely available WGS analysis tools .\\n\\nBy the end of this course you should be able to:\\n\\n1. Describe the general Principles in typing of Bacteria \\n2. Give examples of the applications of Whole Genome Sequencing to Surveillance of bacterial pathogens and antimicrobial resistance \\n3. Apply genomic tools for sub-typing and surveillance\\n4. Define the concept of Next-Generation Sequencing and describe the sequencing data from NGS\\n5. Describe how to do de novo assembly from raw reads to contigs\\n6. Enumerate the methods behind the tools for species identification, MLST typing and resistance gene detection\\n7. Apply the tools for species identification, MLST typing and resistance gene detection in real cases of other bacterial and pathogen genomes.\\n8. Describe the methods behind the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing\\n9. Utilize the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing in real cases of other bacterial and pathogen genomes.\\n10. Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data\\n11. Demonstrate how to construct phylogenetic tree based on SNPs\\n12. Apply the phylogenetic tool to construct phylogenetic trees and explain the relatedness of bacterial or pathogen strains\\n13. Describe how to create your own sequence database\\n14. Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing","metagenomics; antimicrobial; molecular biology; analysis; genome; genomics; species; whole genome sequencing; bioinformatics; microbiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,16.3]","[NULL]","English","life-sciences","research","lO5va7h_EeayqhK4SOTn7g"]
["Probability & Statistics","Bioinformatics","Biology Meets Programming: Bioinformatics for Beginners","University of California San Diego","Advanced",20.0,4.35,"https://www.coursera.org/learn/bioinformatics","Are you interested in learning how to program (in Python) within a scientific setting?\\n\\nThis course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.  It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, \"Finding Hidden Messages in DNA\" (https://www.coursera.org/learn/dna-analysis).\\n\\nEach of the four weeks in the course will consist of two required components.  First, an interactive textbook provides Python programming challenges that arise from real biological problems.  If you haven't programmed in Python before, not to worry! We provide \"Just-in-Time\" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz.\\n\\nLecture videos are also provided that accompany the material, but these videos are optional.","computer programming; bioinformatics; bioinformatics algorithms; molecular biology; programming language; python programming; DNA; biology; algorithms; genetics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.1,29]","Portuguese; Russian","English","life-sciences","health-informatics","4vLX1NAeEeWihQ6ogHC6vQ"]
["Probability & Statistics","Biostatistics","Hypothesis Testing in Public Health","Johns Hopkins University","Advanced",20.5,4.79,"https://www.coursera.org/learn/hypothesis-testing-public-health","Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.","hypothesis testing; drug rehabilitation; medical statistics; biostatistics; public health; sampling distribution; hormone replacement therapy; hypothesis; statistical hypothesis testing; rate ratio","Biostatistics in Public Health",2.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[11.4,30.7]","[NULL]","English","life-sciences","public-health","udpRKkQ4EeitXApS0Q-8QA"]
["Probability & Statistics","Biostatistics","Doing Clinical Research: Biostatistics with the Wolfram Language","University of Cape Town","Beginner",9.7,4.56,"https://www.coursera.org/learn/clinical-research-biostatistics-wolfram","This course has a singular and clear aim, to empower you to do statistical tests, ready for incorporation into your dissertations, research papers, and presentations.  The ability to summarize data, create plots and charts, and to do the tests that you commonly see in the literature is a powerful skill indeed.  Not only will it further your career, but it will put you in the position to contribute to the advancement of humanity through scientific research. \\n\\nWe live in a wonderful age with great tools at our disposal, ready to achieve this goal.  None are quite as easy to learn, yet as powerful to use, as the Wolfram Language.  Knowledge is literally built into the language.  With its well-structured and consistent approach to creating code, you will become an expert in no time. \\n\\nThis course follows the modern trend of learning statistical analysis through the use of a computer language.  It requires no prior knowledge of coding.  An exciting journey awaits. If you wanting even more, there are optional Honors lessons on machine learning that cover the support in the Wolfram Language for deep learning.","statistics; clinical research; average; computation; summary statistics; machine learning; wolfram mathematica; wolfram language; basic descriptive statistics; arithmetic","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.5,12.6]","[NULL]","English","data-science","data-analysis","3RZNPRNIEemUug7dOm6QRg"]
["Probability & Statistics","Biostatistics","Summary Statistics in Public Health","Johns Hopkins University","Beginner",14.1,4.76,"https://www.coursera.org/learn/summary-statistics","Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.","binary data; summary statistics; statistics; estimator; relative risk; biostatistics; risk; analysis; kaplan meier estimator; data segment","Biostatistics in Public Health",1.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[8.5,18.3]","[NULL]","English","life-sciences","public-health","Y26ZS0Q4EeiUTQp9cpO08g"]
["Probability & Statistics","Biostatistics","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Advanced",23.0,4.75,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","analysis; statistical hypothesis testing; statistical methods; hypothesis; statistical tests; statistics; data uri scheme; statistical analysis; clinical research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.9,26.9]","[NULL]","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["Probability & Statistics","Biostatistics","Multiple Regression Analysis in Public Health","Johns Hopkins University","Advanced",14.2,4.57,"https://www.coursera.org/learn/multiple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.","biostatistics; medical statistics; bilirubin; hazard ratio; bioethics; supply chain; public health; medicine; stata; regression analysis","Biostatistics in Public Health",4.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[9.5,17.1]","[NULL]","English","life-sciences","health-informatics","2sp52EQ4EeiCyQ6cvCVnGA"]
["Probability & Statistics","Biostatistics","Epidemiology: The Basic Science of Public Health","The University of North Carolina at Chapel Hill","Advanced",12.5,4.56,"https://www.coursera.org/learn/epidemiology","Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will  understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.","epidemiology; clinical study design; causality; disease; measurement; clinical epidemiology; learning; statistics; public health; integration testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,15.6]","Chinese","English","life-sciences","public-health","FjD-ZB8oEeScWCIACnuVZQ"]
["Probability & Statistics","Biostatistics","Introduction to Genomic Technologies","Johns Hopkins University","Beginner",9.0,4.52,"https://www.coursera.org/learn/introduction-genomics","This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.  \\n\\nThis is the first course in the Genomic Data Science Specialization.","computational biology; statistics; analysis; genomics; biology; molecular biology; data uri scheme; Data Science; computation; bioinformatics","Genomic Data Science",1.0,"https://www.coursera.org/specializations/genomic-data-science","With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.\\n\\nThis Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.\\n\\nThis Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.\\n\\nTo audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.","[5.1,10.7]","[NULL]","English","data-science","data-analysis","-zhQFJezEeWjfxIrc5BW9Q"]
["Probability & Statistics","Biostatistics","Reproducible Research","Johns Hopkins University","Beginner",10.0,4.5,"https://www.coursera.org/learn/reproducible-research","This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them.  The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.","data uri scheme; analysis; statistics; markup language; data analysis; knitr; omega language; r programming; language; computer programming","Data Science",5.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[6.8,12.2]","French; Vietnamese; Korean","English","data-science","data-analysis","-4ffSHNYEeWIfhKr_WcYsQ"]
["Probability & Statistics","Biostatistics","The Data Scientist’s Toolbox","Johns Hopkins University","Beginner",8.1,4.51,"https://www.coursera.org/learn/data-scientists-tools","In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.","data uri scheme; command-line interface; Data Science; analysis; github; r programming; rstudio; data analysis; computer programming; software","Data Science: Foundations using R",1.0,"https://www.coursera.org/specializations/data-science-foundations-r","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.","[5.3,12.2]","Korean","English","data-science","data-analysis","iSxVEG07EeW3YxLB1q9I2w"]
["Probability & Statistics","Biostatistics","R Programming","Johns Hopkins University","Beginner",20.0,4.48,"https://www.coursera.org/learn/r-programming","In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.","analysis; r programming; omega language; language; programming language; data uri scheme; euler's totient function; data analysis; computer programming; rstudio","Data Science: Foundations using R",2.0,"https://www.coursera.org/specializations/data-science-foundations-r","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.","[13.9,24.3]","French; Vietnamese; Japanese; Portuguese; Arabic; Chinese; Spanish","English","data-science","data-analysis","RMFRum1BEeWXrA6ju0fvnQ"]
["Probability & Statistics","Biostatistics","Mathematical Biostatistics Boot Camp 1","Johns Hopkins University","Advanced",21.8,4.41,"https://www.coursera.org/learn/biostatistics","This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.","conditional probability; studentized residual; confidence interval; cumulative distribution function; randomness; confidence; statistics; likelihood function; multivariate random variable; probability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,24.5]","[NULL]","English","math-and-logic","math-and-logic","qogqSFgBEeWBNwpVGuknww"]
["Probability & Statistics","Biostatistics","Mathematical Biostatistics Boot Camp 2","Johns Hopkins University","Advanced",15.4,4.33,"https://www.coursera.org/learn/biostatistics-2","Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.","matching; odds ratio; booting; hypothesis testing; confidence interval; relative risk; delta method; biostatistics; statistical hypothesis testing; case-control study","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,21.2]","[NULL]","English","data-science","probability-and-statistics","u41Z-k3PEeWjfw5p9aPb_w"]
["Probability & Statistics","Correlation And Dependence","Risk, Return & Valuation","University of Michigan","Intermediate",11.2,4.85,"https://www.coursera.org/learn/risk-return-and-valuation","This course is an introduction to the notion of risk, its relation to return, and the valuation of projects and companies. This is a capstone course to help you value projects and companies by applying your understanding of time value of money (TVM) and cash flows developed in the first three courses of this specialization. This course is part of a specialization titled “Foundational Finance for Strategic Decision Making” and is helpful if you are interested in applying to an MBA degree program or learning the foundations of finance to be more effective in your career. \\n\\nThe pedagogy of the course is applied and problem-based with assignments covering every part of the course that each contain multiple problems that, by design,  are introductory and simpler than the more real-world applications you will confront in the real world and more advanced courses. The assignments are all designed by the faculty lead and machine graded.","variance; marginal product of capital; active return; absolute return; finance; asset specificity; reference rate; covariance; alternative beta; age at risk","Foundational Finance for Strategic Decision Making",4.0,"https://www.coursera.org/specializations/foundational-finance","Understand and apply the foundational principles of finance to most business problems and strategies. This integrated set of courses focuses on both the theory and practice of financial decision-making through an applied lens. Ideal for learners seeking to advance their career and/or pursue a business degree, such as a Master of Business Administration (MBA) degree, a great understanding of foundational concepts in finance will help you to understand the principles of personal finance and investing. After successful completion of the four-course program, you will be equipped to make thoughtful decisions based on a framework built using multiple advances in modern financial theory.","[5.9,14.5]","[NULL]","English","business","finance","0BGnEtDREeiYCgpJxBP_Mg"]
["Probability & Statistics","Correlation And Dependence","Introduction to Human Behavioral Genetics","University of Minnesota","Beginner",34.5,4.79,"https://www.coursera.org/learn/behavioralgenetics","Behavioral genetic methodologies from twin and adoption studies through DNA analysis will be described and applied to address longstanding questions about the origins of individual differences in behavioral traits.","psychotherapy; genetics; genetic counseling; clinical psychology; mental health; applied behavior analysis; psychology; psychologies; epigenetics; psychiatry","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.5,44.3]","Romanian","English","life-sciences","psychology","EmkjvJ-SEeW_wArffOXkOw"]
["Probability & Statistics","Correlation And Dependence","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","learning; computer programming; r programming; linear regression; health data; statistical analysis; Economics; interpretation; medical statistics; gratitude","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.2,16.5]","[NULL]","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["Probability & Statistics","Correlation And Dependence","Mindware: Critical Thinking for the Information Age","University of Michigan","Beginner",12.0,4.75,"https://www.coursera.org/learn/mindware","Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.\\n\\nWhat kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","critical thinking; inference; cost; decision-making; analysis; statistics; bias; statistical inference; cognitive bias; cost benefit analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,13]","Ukrainian","English","life-sciences","psychology","2e_l18MBEea6CwrxGAW0VA"]
["Probability & Statistics","Correlation And Dependence","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","multicollinearity; linear regression; business statistics; interaction; linearity; analysis; statistics; interaction (statistics); regression analysis; microsoft excel","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.4]","[NULL]","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Probability & Statistics","Correlation And Dependence","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Probability & Statistics","Correlation And Dependence","Positive Psychiatry and Mental Health","The University of Sydney","Intermediate",21.0,4.73,"https://www.coursera.org/learn/positive-psychiatry","In today’s world, mental illness and distress are common and these account for a significant burden of disability within our community. At the same time, there is a growing interest in understanding and enhancing positive mental health and wellbeing; particularly from developments in the fields of positive psychology and mental health promotion.  Positive Psychiatry is a new term (Jeste et al 2016) that describes a dual approach to mental health, where we build strengths,  supports and healthy lifestyles as well as treating illness and distress.\\n \\nIn this course, we will explore different aspects of good mental health as well as provide an overview of the major kinds of mental disorders, their causes, treatments and how to seek help and support.  The course will feature a large number of Australian experts in psychiatry, psychology and mental health research,  and we will also hear from “lived experience experts”, people who have lived with mental illness, and share their personal stories of recovery. \\n\\nWe take an evidence-based approach to a range of strategies that anyone can use to enhance their own mental health and that of others, from exercise and relaxation techniques through to the role of love, relationships and 'good' types of work. We cover topics from creativity and yoga through to psychiatric medications and psychotherapies.","Mental Illness; anxiety; mental disorder; bipolar disorder; psychiatry; exercise; mental health; mindfulness; psychologies; psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,25.2]","Spanish","English","life-sciences","basic-science","CRZJ8GykEeWbyw5d8C-Blw"]
["Probability & Statistics","Correlation And Dependence","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Correlation And Dependence","Data Analysis with Python","IBM","Beginner",47.3,4.62,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","regression analysis; modeling; analysis; data wrangling; data segment; computer programming; data analysis; linearity; data uri scheme; python programming","IBM Data Science",6.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[5.6,87.6]","Vietnamese; Turkish; Arabic; Korean","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["Probability & Statistics","Correlation And Dependence","Data Analysis Tools","Wesleyan University","Intermediate",12.7,4.44,"https://www.coursera.org/learn/data-analysis-tools","In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.","analysis; data analysis; analysis of variance; statistics; square (algebra); statistical hypothesis testing; correlation and dependence; chi-squared distribution; interaction (statistics); hypothesis testing","Data Analysis and Interpretation",2.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9,15.7]","[NULL]","English","data-science","data-analysis","ENhHCTboEeW8ZAoCexam_w"]
["Probability & Statistics","Correlation And Dependence","Recommender Systems:  Evaluation and Metrics","University of Minnesota","Advanced",15.1,4.35,"https://www.coursera.org/learn/recommender-metrics","In this course you will learn how to evaluate recommender systems.  You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity.  You will learn how different metrics relate to different user goals and business goals.  You will also learn how to rigorously conduct offline evaluations (i.e., how to prepare and sample data, and how to aggregate results).  And you will learn about online (experimental) evaluation.  At the completion of this course you will have the tools you need to compare different recommender system alternatives for a wide variety of uses.","sed; recommender systems; user profile; matching; test data; integration testing; personally identifiable information; focus group; e-commerce; user experience","Recommender Systems",3.0,"https://www.coursera.org/specializations/recommender-systems","A Recommender System is a process that seeks to predict user preferences. This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative filtering techniques, as well as advanced topics like matrix factorization, hybrid machine learning methods for recommender systems, and dimension reduction techniques for the user-product preference space.\\n\\nThis Specialization is designed to serve both the data mining expert who would want to implement techniques like collaborative filtering in their job, as well as the data literate marketing professional, who would want to gain more familiarity with these topics.\\n\\nThe courses offer interactive, spreadsheet-based exercises to master different algorithms, along with an honors track where you can go into greater depth using the LensKit open source toolkit.\\n\\nBy the end of this Specialization, you’ll be able to implement as well as evaluate recommender systems. The Capstone Project brings together the course material with a realistic recommender design and analysis project.","[7.4,23.6]","[NULL]","English","data-science","machine-learning","6sfCzzyhEeayDAowXtL2xQ"]
["Probability & Statistics","Econometrics","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Advanced",39.3,4.91,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","detergent; two-part tariff; operations research; Chemical Engineering; game theory; industrial engineering; bertrand competition; law; Chemical Analysis; nash equilibrium","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.6,57.4]","[NULL]","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["Probability & Statistics","Econometrics","Econometrics: Methods and Applications","Erasmus University Rotterdam","Beginner",29.8,4.49,"https://www.coursera.org/learn/erasmus-econometrics","Welcome!\\nDo you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.\\n\\n* What do I learn?\\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.  You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. \\n\\n* Do I need prior knowledge?\\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.\\n\\n* What literature can I consult to support my studies?\\nYou can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.\\n\\n* Will there be teaching assistants active to guide me through the course?\\nStaff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.\\n\\n* How will I get a certificate?\\nTo gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.\\n\\nHave a nice journey into the world of Econometrics!\\nThe Econometrics team","time series; regression analysis; econometrics; estimation; linearity; statistics; modeling; discrete choice; environment variable; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.6,40.5]","[NULL]","English","data-science","probability-and-statistics","1BM3lirjEeWLVg5w1LoYqQ"]
["Probability & Statistics","Econometrics","Regression Models","Johns Hopkins University","Beginner",16.9,4.33,"https://www.coursera.org/learn/regression-models","Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.  Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.","generalized linear model; modeling; linear regression; linearity; linear model; analysis; statistics; regression analysis; logistic regression; model selection","Data Science",7.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.2,22.3]","Korean; Vietnamese","English","data-science","probability-and-statistics","a_xPWXNVEeWxvQr3acyajw"]
["Probability & Statistics","Econometrics","Enjoyable Econometrics","Erasmus University Rotterdam","Beginner",18.6,4.23,"https://www.coursera.org/learn/enjoyable-econometrics","The goal of this MOOC is to show that econometric methods are often needed to answer questions. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted. For example, where we first look at two variables, later we may need to look at three or more. Or, when data are missing, what then do we do? And, if the data are counts, like the number of newspaper articles citing someone, then matters may change too. But these modifications always come last, and are considered only when relevant. \\n\\nAn important motivation for me to make this MOOC is to emphasize that econometric models and methods can also be applied to more unconventional settings, which are typically settings where the practitioner has to collect his or her own data first. Such collection can be done by carefully combining existing databases, but also by holding surveys or running experiments. A byproduct of having to collect your own data is that this helps to choose amongst the potential methods and techniques that are around.\\n\\nIf you are searching for a MOOC on econometrics that treats (mathematical and statistical) methods of econometrics and their applications, you may be interested in the Coursera course “Econometrics: Methods and Applications” that is also from Erasmus University Rotterdam.","econometrics; chloral hydrate; broth microdilution; statistics; choking; backcrossing; Data Science; calendrical calculation; irreconcilable differences; empty string","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,22.3]","[NULL]","English","data-science","probability-and-statistics","4EGqnKb8EemgMQo0VxGZAA"]
["Probability & Statistics","Epidemiology","Surveillance Systems: The Building Blocks","Johns Hopkins University","Beginner",6.3,4.71,"https://www.coursera.org/learn/epidemiology-surveillance-systems","Epidemiology is often described as the cornerstone science and public health and public health surveillance is a cornerstone of epidemiology. This course will help you build your technical awareness and skills for working with a variety of surveillance systems. Along the way, we'll focus on system objectives, data reporting, the core surveillance attributes, and performance assessment. This course is designed for public health practitioners and anyone who wants to learn more about the basics of public health surveillance. If you develop or implement surveillance systems or aspire to do so or use the data resulting from surveillance, then this course is for you. It's s also for people who are interested in understanding more about this fundamental epidemiologic tool and public health practice.","systems design; closed-circuit television; imaging informatics; continuous function; evaluation; measurement; declassification; epidemiology; public health; codex alimentarius","Epidemiology in Public Health Practice",3.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.3,7.2]","[NULL]","English","life-sciences","public-health","MxisxCo8EemI7w6DyJsmOg"]
["Probability & Statistics","Epidemiology","Surveillance Systems: Analysis, Dissemination, and Special Systems","Johns Hopkins University","Beginner",5.9,4.69,"https://www.coursera.org/learn/epidemiology-surveillance-systems-analysis","In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect its use. We'll then turn our attention to surveillance of non-communicable chronic diseases and how the data can be used to support prevention efforts. Finally, we'll explore special surveillance systems, such as syndromic surveillance, antimicrobial resistance, and event-related surveillance. This course is designed for public health practitioners with a focus on those working on health surveillance in municipal, regional, state, provincial, or even national public health agencies. We really think that this course will help those with an interest in health surveillance to see which approaches are used in actual practice of public health.","public health surveillance; epidemiology; public health; data analysis; alarms; analysis; dissemination; interpretation; sources; rectovaginal examination","Epidemiology in Public Health Practice",4.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.3,6.5]","[NULL]","English","life-sciences","public-health","3vl2Su2ZEeiJnAqB4Om4ig"]
["Probability & Statistics","Epidemiology","Outbreaks and Epidemics","Johns Hopkins University","Advanced",6.2,4.74,"https://www.coursera.org/learn/outbreaks-epidemics","Professional epidemiologists are often called on to investigate outbreaks and epidemics. This course serves as an introduction to the essentials of investigation, identifying pathogens, figuring out what's going on, reporting, and responding. You'll learn how to ask precise epidemiologic questions and apply epidemiologic tools to uncover the answers. You'll also learn about basic epidemic dynamics and the terrible law that cause them to grow, as well as the reasons why they recede and eventually go away. The course concludes with deep dives into some real outbreaks from Ebola, in West Africa, to the opioid epidemic in the United States.","law; epidemics; clinical psychology; learning; public health; effective method; outbreak; gratitude; epidemic; epidemiology","Epidemiology in Public Health Practice",5.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.1,6.5]","[NULL]","English","life-sciences","public-health","jvbebe2aEei-9xJAr2ZhBg"]
["Probability & Statistics","Epidemiology","Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention","Imperial College London","Beginner",9.2,4.77,"https://www.coursera.org/learn/global-disease-masterclass-communicable","This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn. We’ve selected these diseases because they span a range of different types of disease and allow us to look at important issues that relevance of other diseases too. We will look at each disease in the same way: we begin by looking at the aetiology and epidemiology of the diseases. We then show how data on this disease can be used to understand important trends and patterns. We then focus on the interventions that can be used to address that disease - typically spanning both prevention and treatment - and consider how policies have been developed to address the disease. We finish by reflecting on the whole topic area of the disease with an external expert.","emerging infectious disease; ebola; prevention; audiology; public health; global; epidemiology; disease","Global Disease Masterclass",2.0,"https://www.coursera.org/specializations/gmph-global-disease-masterclass","The Global Disease Masterclass specialisation aims to provide students with an overview of core health challenges and lines of epidemiological research being undertaken, across a range of infectious and non-communicable diseases.\\n\\nThe specialisation begins by examining the global distribution of diseases and the major trends that we have seen in the last several decades. Simultaneously, we consider the data that are used to construct such estimates. We then consider the role of social determinants and risk factors in shaping the distribution of disease in populations. For each, the overall aetiology and epidemiological patterns are described and subsequently, the interventions that are available to combat them are considered. Particular ‘policy issues’ in relation to each disease are examined from multiple angles. Each session comprises lecture content with leaders in the field, practical activities and in-depth interview with subject matter experts. The specialisation will give students a broad understanding of the major global issues in health and an in-depth understanding of some of the most important disease challenges that are being faced today. It will equip public health professionals and researchers with a broad foundation of knowledge on which to build further expertise about global public health.","[4.4,12.6]","[NULL]","English","life-sciences","public-health","ZWOO_nU1Eeiq5AqveOGNaA"]
["Probability & Statistics","Epidemiology","Study Designs in Epidemiology","Imperial College London","Advanced",6.3,4.8,"https://www.coursera.org/learn/study-designs-epidemiology","Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research. \\nIn this course, you will learn about the main epidemiological study designs, including cross-sectional and ecological studies, case-control and cohort studies, as well as the more complex nested case-control and case-cohort designs. The final module is dedicated to randomised controlled trials, which is often considered the optimal study design, especially in clinical research. You will also develop the skills to identify strengths and limitations of the various study designs. By the end of this course, you will be able to choose the most suitable study design considering the research question, the available time, and resources.","clinical study design; randomness; case-control study; c-ross; public health; null character; epidemiology; integration testing; health policy; clinical research","Epidemiology for Public Health",2.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[3.5,7.8]","[NULL]","English","life-sciences","public-health","ApVo5lRrEeiGKxInOEegGg"]
["Probability & Statistics","Epidemiology","Validity and Bias in Epidemiology","Imperial College London","Advanced",8.6,4.82,"https://www.coursera.org/learn/validity-bias-epidemiology","Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.","public health; causal research; clinical research; funnel plot; hawthorne effect; null character; health policy; hypothesis; epidemiology; attentional bias","Epidemiology for Public Health",3.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[5.4,10.2]","[NULL]","English","life-sciences","public-health","Rtiw71RrEeiuag4cjofrng"]
["Probability & Statistics","Epidemiology","Epidemics","The University of Hong Kong","Advanced",102.4,4.79,"https://www.coursera.org/learn/hkuepidemics","“If history is our guide, we can assume that the battle between the intellect and will of the human species and the extraordinary adaptability of microbes will be never-ending.” (1)\\n\\nDespite all the remarkable technological breakthroughs that we have made over the past few decades, the threat from infectious diseases has significantly accelerated. In this course, we will learn why this is the case by looking at the fundamental scientific principles underlying epidemics and the public health actions behind their prevention and control in the 21st century.\\n\\nThis course covers the following four topics:\\n\\n1. Origins of novel pathogens;\\n2. Analysis of the spread of infectious diseases;\\n3. Medical and public health countermeasures to prevent and control epidemics;\\n4. Panel discussions involving leading public health experts with deep frontline experiences to share their views on risk communication, crisis management, ethics and public trust in the context of infectious disease control. \\n\\nIn addition to the original introductory sessions on epidemics, we revamped the course by adding:\\n- new panel discussions with world-leading experts; and\\n- supplementary modules on next generation informatics for combating epidemics.\\n\\n--------------------------------------------------------\\n(1) Fauci AS, Touchette NA, Folkers GK. Emerging Infectious Diseases: a 10-Year Perspective from the National Institute of Allergy and Infectious Diseases. Emerg Infect Dis 2005 Apr; 11(4):519-25.\\n\\nWhat you'll learn\\n- Demonstrate knowledge of the origins, spread and control of infectious disease epidemics\\n- Demonstrate understanding of the importance of effective communication about epidemics\\n- Demonstrate understanding of key contemporary issues relating to epidemics from a global perspective","disease surveillance; infectious diseases; epidemic; epidemics; pandemic; pharmacovigilance; animal; epidemiology; cancer; crisis management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.4,192.3]","Chinese","English","life-sciences","public-health","yrhPmHMHEeWKsgrp3VnvAw"]
["Probability & Statistics","Epidemiology","Clinical Epidemiology","Utrecht University","Advanced",14.9,4.74,"https://www.coursera.org/learn/clinical-epidemiology","Evidence forms the basis of modern medicine. Clinical research provides us with this evidence, guiding health professionals towards solutions to problems that they face in daily practice. Transferring existing problems in medical practice to a research setting is a challenging process that requires careful consideration. The practice of clinical epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective.\\n\\nThis course teaches the principles and practice of clinical epidemiology, drawing on real problems faced by medical professionals and elaborating on existing examples of clinical research. Medical researchers will lean how to translate real clinical problems into tangible research questions for investigation, gaining insight into some of the most important considerations when designing an epidemiological study along the way. \\n\\nCore concepts will be introduced along four key themes: diagnosis, prognosis, treatment and etiology. Followers of this course will develop their understanding of the topics addressed through lectures from experts, peer interaction and review assignments.","challenge dechallenge rechallenge; clinical trials; causal research; medical research; clinical epidemiology; clinical study design; systematic review; clinical research; epidemiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10,19.9]","[NULL]","English","life-sciences","basic-science","ZUGlRpzbEeWIXgpWJNgyEw"]
["Probability & Statistics","Epidemiology","Epidemics - the Dynamics of Infectious Diseases","The Pennsylvania State University","Advanced",21.3,4.69,"https://www.coursera.org/learn/epidemics","Not so long ago, it was almost guaranteed that you would die of an infectious disease. In fact, had you been born just 150 years ago, your chances of dying of an infectious disease before you've reached the tender age of 5 would have been extremely high. \\n \\nSince then, science has come a long way in understanding infectious diseases - what they are, how they spread, and how they can be prevented. But diseases like HIV/AIDS, Malaria, Tuberculosis, or the flu are still major killers worldwide, and novel emerging diseases are a constant threat to public health. In addition, the bugs are evolving. Antibiotics, our most potent weapon against bacterial infections, are losing their power because the bacteria are becoming resistant. In this course, we'll explore the major themes of infectious diseases dynamics.\\n\\nAfter we’ve covered the basics, we'll be looking at the dynamics of the flu, and why we're worried about flu pandemics. We'll be looking at the dynamics of childhood diseases such as measles and whooping cough, which were once considered almost eradicated, but are now making a comeback. We'll explore Malaria, and use it as a case study of the evolution of drug resistance. We'll even be looking at social networks - how diseases can spread from you to your friends to your friends' friends, and so on. And of course we’ll be talking about vaccination too. We’ll also be talking about how mobile phones, social media and crowdsourcing are revolutionizing disease surveillance, giving rise to a new field of digital epidemiology. And yes, we will be talking about Zombies - not human zombies, but zombie ants whose brains are hijacked by an infectious fungus. \\n\\nWe're looking forward to having you join us for an exciting course!","public health; epidemic; evolution; vaccine; disease; epidemiology; drug resistance; epidemics; pandemic; pandemics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,25.2]","Russian; Spanish","English","life-sciences","basic-science","SAZf_ay2EeS5uiIACk-Zyg"]
["Probability & Statistics","Epidemiology","Data and Health Indicators in Public Health Practice","Johns Hopkins University","Advanced",9.1,4.66,"https://www.coursera.org/learn/data-public-health","Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies.\\n\\nIn this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions. This methodology depends on the use of reliable data, so we'll take a deep dive into the routine and public health data systems that lie at the heart of epidemiology and then conclude with how you can use that data to calculate measures of disease burden in populations.","public health; disease burden; measurement; age adjustment; health indicator; problem solving; disease; epidemiology; problem solving methods; methodology","Epidemiology in Public Health Practice",2.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[4.7,11.5]","[NULL]","English","life-sciences","public-health","qzwLIm32EeabgxL_CsKzaQ"]
["Probability & Statistics","Epidemiology","Essential Epidemiologic Tools for Public Health Practice","Johns Hopkins University","Intermediate",5.0,4.74,"https://www.coursera.org/learn/epidemiology-tools","In order to make a difference in the health and well-being of a population, we must understand the burden of all problems and conditions that affect the population, as well as how well our efforts to mitigate these problems are actually working. This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. The tools that epidemiologists use are in fact useful for all public health practitioners, including data scientists, program officials, agency leaders, and policymakers. Whether you are deeply enmeshed in your career and looking to augment your skills, or are looking to change career paths into the field of public health, this course will give you some of the practical knowledge and skills that we hope you can apply in your professional endeavors.","choropleth map; public health; epidemic; analysis; epidemiology; geographic information system; chart; Mapping; communication; epidemics","Epidemiology in Public Health Practice",1.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.1,6.5]","[NULL]","English","life-sciences","public-health","HMEBfu2ZEeiJkwpQ0Sp0Yg"]
["Probability & Statistics","Epidemiology","Major Depression in the Population: A Public Health Approach","Johns Hopkins University","Intermediate",16.2,4.66,"https://www.coursera.org/learn/public-health-depression","Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the entire world! Every human being suffers from feeling depressed at some point or other, but only about one fifth of the population will experience an episode of depressive disorder over the course of their lives. This course illuminates the public health approach to disease, and the particular complexities of applying this approach to mental disorders, using depression as the exemplar.","public health; counseling psychology; mental health; Child Psychology; psychotherapy; epidemiology; psychology; health psychology; Chinese Medicine; psychiatry","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,20.7]","Chinese","English","life-sciences","public-health","s6_Z4SBAEeWcQw5YiljpGw"]
["Probability & Statistics","Epidemiology","Measuring Disease in Epidemiology","Imperial College London","Advanced",14.2,4.63,"https://www.coursera.org/learn/measuring-disease-epidemiology","Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.","general practice; clinical epidemiology; public health; analysis; career; epidemiology; bios; biostatistics; experience; health policy","Epidemiology for Public Health",1.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[8.3,17.6]","[NULL]","English","life-sciences","public-health","hSFRplRqEeiPZBL0QYL46A"]
["Probability & Statistics","Epidemiology","Epidemiology: The Basic Science of Public Health","The University of North Carolina at Chapel Hill","Advanced",12.5,4.56,"https://www.coursera.org/learn/epidemiology","Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will  understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.","epidemiology; clinical study design; causality; disease; measurement; clinical epidemiology; learning; statistics; public health; integration testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,15.6]","Chinese","English","life-sciences","public-health","FjD-ZB8oEeScWCIACnuVZQ"]
["Probability & Statistics","Estimation","Machine Design Part I","Georgia Institute of Technology","Advanced",19.2,4.81,"https://www.coursera.org/learn/machine-design1","“Machine Design Part I” is the first course in an in-depth three course series of “Machine Design.” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Throughout this series of courses we will examine a number of exciting design case studies, including the material selection of a total hip implant, the design and testing of the wing on the 777 aircraft, and the impact of dynamic loads on the design of an bolted pressure vessel. \\n\\nIn this first course, you will learn robust analysis techniques to predict and validate design performance and life. We will start by reviewing critical material properties in design, such as stress, strength, and the coefficient of thermal expansion. We then transition into static failure theories such as von Mises theory, which can be utilized to prevent failure in static loading applications such as the beams in bridges.  Finally, we will learn fatigue failure criteria for designs with dynamic loads, such as the input shaft in the transmission of a car.","stress; failure cause; failure; materials; Design Analysis; Mechanical Design; causality; problem solving; Engineering Design; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,26.4]","[NULL]","English","physical-science-and-engineering","mechanical-engineering","aF0NmQC4Eea_zg6oQWTINQ"]
["Probability & Statistics","Estimation","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; microsoft excel; statistical hypothesis testing; confidence interval; software testing; statistics; data analysis; hypothesis testing; hypothesis","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.7,16.9]","[NULL]","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Probability & Statistics","Estimation","Experimentation for Improvement","McMaster University","Intermediate",18.5,4.78,"https://www.coursera.org/learn/experimentation","We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? \\n\\nIn this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.\\n\\nWe use simple tools: starting with fast calculations by hand, then we show how to use FREE software. \\n\\nThe course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable.\\n\\nThis course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. \\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯\\nOver 1000 people have completed this online course. What have prior students said about this course?\\n\\n\"This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses].\"\\n\\n\"Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto.\"\\n\\n\"I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions.\" Jason Eriksen, 3 Jan 2017\\n\\n\"Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze.\" 20 February 2016.\\n\\n\"... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!\"\\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯","response surface methodology; experimental design; experiment; process optimization; factorial; mathematical optimization; computer programming; process; r programming; factorial experiment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,24.4]","Portuguese; Spanish","English","data-science","probability-and-statistics","TpvXIzxZEeWjyxInT4zYJQ"]
["Probability & Statistics","Estimation","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","analysis; deep learning; error; multi-task learning; type i and type ii errors; computer multitasking; approximation error; project; learning; machine learning","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[4.5,8]","Chinese; Turkish; Korean; Spanish","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["Probability & Statistics","Estimation","Machine Learning: Classification","University of Washington","Beginner",39.5,4.68,"https://www.coursera.org/learn/ml-classification","Case Studies: Analyzing Sentiment & Loan Default Prediction\\n\\nIn our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...).  In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. \\n\\nIn this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.  You will become familiar with  the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting.  In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent.  You will implement these technique on real-world, large-scale machine learning tasks.  You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier.  This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data.  We've also included optional content in every module, covering advanced topics for those who want to go even deeper! \\n\\nLearning Objectives: By the end of this course, you will be able to:\\n   -Describe the input and output of a classification model.\\n   -Tackle both binary and multiclass classification problems.\\n   -Implement a logistic regression model for large-scale classification.  \\n   -Create a non-linear model using decision trees.\\n   -Improve the performance of any model using boosting.\\n   -Scale your methods with stochastic gradient ascent.\\n   -Describe the underlying decision boundaries.  \\n   -Build a classification model to predict sentiment in a product review dataset.  \\n   -Analyze financial data to predict loan defaults.\\n   -Use techniques for handling missing data.\\n   -Evaluate your models using precision-recall metrics.\\n   -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).","algorithms; classification algorithms; statistical classification; gradient descent; decision tree; stochastic; learning; machine learning; gradient; logistic regression","Machine Learning",3.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[19.2,53.5]","Korean; Arabic","English","data-science","machine-learning","3c1bSkIJEeWpogr5ZO8qxQ"]
["Probability & Statistics","Estimation","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Estimation","State Estimation and Localization for Self-Driving Cars","University of Toronto","Advanced",21.8,4.57,"https://www.coursera.org/learn/state-estimation-localization-self-driving-cars","Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. \\n\\nThis course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to:\\n- Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares\\n- Develop a model for typical vehicle localization sensors, including GPS and IMUs\\n- Apply extended and unscented Kalman Filters to a vehicle state estimation problem\\n- Understand LIDAR scan matching and the Iterative Closest Point algorithm \\n- Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car \\n\\nFor the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. \\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).","robotics; Electrical Engineering; opengl; estimation; autonomous cars; global positioning system; computer vision; c programming; kalman filter; c++","Self-Driving Cars",2.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[12.7,26.7]","[NULL]","English","computer-science","software-development","Hb0M4lPyEeiNrg7HoBf7gA"]
["Probability & Statistics","Estimation","Bayesian Statistics: From Concept to Data Analysis","University of California, Santa Cruz","Intermediate",34.8,4.49,"https://www.coursera.org/learn/bayesian-statistics","This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.","bayesian inference; prior probability; bayesian statistics; conjugate prior; inference; studentized residual; r programming; probability; bayesian; statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14,53.8]","[NULL]","English","data-science","probability-and-statistics","Qqmr3fBKEeWLaBLI8fdMlw"]
["Probability & Statistics","Estimation","Econometrics: Methods and Applications","Erasmus University Rotterdam","Beginner",29.8,4.49,"https://www.coursera.org/learn/erasmus-econometrics","Welcome!\\nDo you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.\\n\\n* What do I learn?\\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.  You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. \\n\\n* Do I need prior knowledge?\\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.\\n\\n* What literature can I consult to support my studies?\\nYou can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.\\n\\n* Will there be teaching assistants active to guide me through the course?\\nStaff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.\\n\\n* How will I get a certificate?\\nTo gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.\\n\\nHave a nice journey into the world of Econometrics!\\nThe Econometrics team","time series; regression analysis; econometrics; estimation; linearity; statistics; modeling; discrete choice; environment variable; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.6,40.5]","[NULL]","English","data-science","probability-and-statistics","1BM3lirjEeWLVg5w1LoYqQ"]
["Probability & Statistics","Estimation","Visual Perception for Self-Driving Cars","University of Toronto","Advanced",18.9,4.46,"https://www.coursera.org/learn/visual-perception-self-driving-cars","Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception.  By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.  You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars.\\n\\nFor the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface.  You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset.\\n\\nThis is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses).","autonomous cars; perception; tracking; opencv; image segmentation; object detection; computer vision; deep learning; robotics; computer stereo vision","Self-Driving Cars",3.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.2,27.2]","[NULL]","English","computer-science","software-development","Pr5NLlPyEei-RQ6pitSIHg"]
["Probability & Statistics","Estimation","Practical Machine Learning","Johns Hopkins University","Beginner",13.4,4.37,"https://www.coursera.org/learn/practical-machine-learning","One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.","environment variable; forest; machine learning; algorithms; modeling; machine learning algorithms; randomness; learning; predictive modelling; random forest","Data Science: Statistics and Machine Learning",3.0,"https://www.coursera.org/specializations/data-science-statistics-machine-learning","Build models, make inferences, and deliver interactive data products.\\n\\nThis specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.\\n\\nThe five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.","[7.9,17.3]","Korean","English","data-science","machine-learning","H02KsW1DEeWXrA6ju0fvnQ"]
["Probability & Statistics","Experiment","Experimentation for Improvement","McMaster University","Intermediate",18.5,4.78,"https://www.coursera.org/learn/experimentation","We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? \\n\\nIn this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.\\n\\nWe use simple tools: starting with fast calculations by hand, then we show how to use FREE software. \\n\\nThe course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable.\\n\\nThis course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. \\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯\\nOver 1000 people have completed this online course. What have prior students said about this course?\\n\\n\"This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses].\"\\n\\n\"Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto.\"\\n\\n\"I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions.\" Jason Eriksen, 3 Jan 2017\\n\\n\"Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze.\" 20 February 2016.\\n\\n\"... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!\"\\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯","response surface methodology; experimental design; experiment; process optimization; factorial; mathematical optimization; computer programming; process; r programming; factorial experiment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,24.4]","Portuguese; Spanish","English","data-science","probability-and-statistics","TpvXIzxZEeWjyxInT4zYJQ"]
["Probability & Statistics","Experiment","Understanding Plants - Part I: What a Plant Knows","Tel Aviv University","Intermediate",17.7,4.77,"https://www.coursera.org/learn/plantknows","For centuries we have collectively marveled at plant diversity and form—from Charles Darwin’s early fascination with stems and flowers to Seymour Krelborn’s distorted doting in Little Shop of Horrors. This course intends to present an intriguing and scientifically valid look at how plants themselves experience the world—from the colors they see to the sensations they feel. Highlighting the latest research in genetics and more, we will delve into the inner lives of plants and draw parallels with the human senses to reveal that we have much more in common with sunflowers and oak trees than we may realize. We’ll learn how plants know up from down, how they know when a neighbor has been infested by a group of hungry beetles, and whether they appreciate the music you’ve been playing for them or if they’re just deaf to the sounds around them. We’ll explore definitions of memory and consciousness as they relate to plants in asking whether we can say that plants might even be aware of their surroundings. This highly interdisciplinary course meshes historical studies with cutting edge modern research and will be relevant to all humans who seek their place in nature. \\n\\nThis class has three main goals: 1. To introduce you to basic plant biology by exploring plant senses (sight, smell, hearing, touch, taste, balance). 2. To introduce you to biological research and the scientific method. 3. To get the student to question life in general and what defines us as humans.\\n\\nOnce you've taken this course, if you are interested in a more in-depth study of plants, check out my follow-up course, Fundamentals of Plant Biology (https://www.coursera.org/learn/plant-biology/home/welcome).\\n\\nIn order to receive academic credit for this course you must successfully pass the academic exam on campus. For information on how to register for the academic exam – https://tauonline.tau.ac.il/registration\\n\\nAdditionally, you can apply to certain degrees using the grades you received on the courses. Read more on this here – \\nhttps://go.tau.ac.il/b.a/mooc-acceptance\\n\\nTeachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline.tau.ac.il/online-highschool","plant nutrition; genetics; integration testing; ecology; plant physiology; history; botany; Plant Biology; plant; biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.7,23.8]","Arabic; Hebrew; French; Catalan; Portuguese; German; Spanish; Romanian","English","life-sciences","basic-science","ucx-Hq4vEeSjoiIAC7JR4w"]
["Probability & Statistics","Experiment","Mindware: Critical Thinking for the Information Age","University of Michigan","Beginner",12.0,4.75,"https://www.coursera.org/learn/mindware","Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.\\n\\nWhat kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","critical thinking; inference; cost; decision-making; analysis; statistics; bias; statistical inference; cognitive bias; cost benefit analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,13]","Ukrainian","English","life-sciences","psychology","2e_l18MBEea6CwrxGAW0VA"]
["Probability & Statistics","Experiment","The Brain and Space","Duke University","Intermediate",15.9,4.73,"https://www.coursera.org/learn/human-brain","This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities.\\n\\nKnowing where things are is effortless.  But “under the hood,” your brain must figure out even the simplest of details about the world around you and your position in it.  Recognizing your mother, finding your phone, going to the grocery store, playing the banjo – these require careful sleuthing and coordination across different sensory and motor domains.  This course traces the brain’s detective work to create this sense of space and argues that the brain’s spatial focus permeates our cognitive abilities, affecting the way we think and remember.\\n\\nThe material in this course is based on a book I've written for a general audience.  The book is called \"Making Space: How the Brain Knows Where Things Are\", and is available from Amazon, Barnes and Noble, or directly from Harvard University Press. \\n\\nThe course material overlaps with classes on perception or systems neuroscience, and can be taken either before or after such classes.\\n\\nDr. Jennifer M. Groh, Ph.D.\\nProfessor\\nPsychology & Neuroscience; Neurobiology\\nDuke University\\n www.duke.edu/~jmgroh\\n\\nJennifer M. Groh is interested in how the brain process spatial information in different sensory systems, and how the brain's spatial codes influence other aspects of cognition.  She is the author of a recent book entitled \"Making Space:  How the Brain Knows Where Things Are\" (Harvard University Press, fall 2014).\\n\\nMuch of her research concerns differences in how the visual and auditory systems encode location, and how vision influences hearing.  Her laboratory has demonstrated that neurons in auditory brain regions are sometimes responsive not just to what we hear but also to what direction we are looking and what visual stimuli we can see.  These surprising findings challenge the prevailing assumption that the brain’s sensory pathways remain separate and distinct from each other at early stages, and suggest a mechanism for such multi-sensory interactions as lip-reading and ventriloquism (the capture of perceived sound location by a plausible nearby visual stimulus).\\n\\nDr. Groh has been a professor at Duke University since 2006.  She received her undergraduate degree in biology from Princeton University in 1988 before studying neuroscience at the University of Michigan (Master’s, 1990), the University of Pennsylvania (Ph.D., 1993), and Stanford University (postdoctoral, 1994-1997).  Dr. Groh has been teaching undergraduate classes on the neural basis of perception and memory for over fifteen years.  She is presently a faculty member at the Center for Cognitive Neuroscience and the Duke Institute for Brain Sciences at Duke University.  She also holds appointments in the Departments of Neurobiology and Psychology & Neuroscience at Duke.\\n\\nDr. Groh’s research has been supported by a variety of sources including the John S. Guggenheim Foundation, the National Institutes of Health, the National Science Foundation, and the Office of Naval Research Young Investigator Program, the McKnight Endowment Fund for Neuroscience, the John Merck Scholars Program, the EJLB Foundation, the Alfred P. Sloan Foundation, the Whitehall Foundation, and the National Organization for Hearing Research.","religion; brain; cognitive science; cognitive neuroscience; psychology; medicine; neurobiology; neuroscience; cognition; memory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,22]","Italian; Spanish; Romanian","English","life-sciences","basic-science","jnoxprrzEeW2iwpbOuagWQ"]
["Probability & Statistics","Experiment","Fundamental Neuroscience for Neuroimaging","Johns Hopkins University","Intermediate",10.4,4.62,"https://www.coursera.org/learn/neuroscience-neuroimaging","Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Designed for students and professionals, this course will introduce the basic principles of neuroimaging methods as applied to human subjects research and introduce the neuroscience concepts and terminology necessary for a basic understanding of neuroimaging applications. Topics include the history of neuroimaging, an introduction to neuroimaging physics and image formation, as well as an overview of different neuroimaging applications, including functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, perfusion imaging, and positron emission tomography imaging. Each will be reviewed in the context of their specific methods, source of signal, goals, and limitations. The course will also introduce basic neuroscience concepts necessary to understand the implementation of neuroimaging methods, including structural and functional human neuroanatomy, cognitive domains, and experimental design.","neurobiology; neuroscience; Neuroimaging Studies; medical imaging; cognitive neuroscience; neuropsychology; fmri; radiology; brain; neuroimaging","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,13.5]","[NULL]","English","life-sciences","basic-science","xsR5cST9Eee20hKGBTMJdA"]
["Probability & Statistics","Experiment","Multiple Regression Analysis in Public Health","Johns Hopkins University","Advanced",14.2,4.57,"https://www.coursera.org/learn/multiple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.","biostatistics; medical statistics; bilirubin; hazard ratio; bioethics; supply chain; public health; medicine; stata; regression analysis","Biostatistics in Public Health",4.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[9.5,17.1]","[NULL]","English","life-sciences","health-informatics","2sp52EQ4EeiCyQ6cvCVnGA"]
["Probability & Statistics","Experiment","Experimental Methods in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",24.2,4.55,"https://www.coursera.org/learn/experimental-methods","Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging.\\n\\nA key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from biotechnology to human disease. This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses. We dive deeply into four technologies in particular, mRNA sequencing, mass spectrometry-based proteomics, flow/mass cytometry, and live-cell imaging. These techniques are often used in systems biology and range from genome-wide coverage to single molecule coverage, millions of cells to single cells, and single time points to frequently sampled time courses. We present not only the theoretical background upon which these technologies work, but also enter real wet lab environments to provide instruction on how these techniques are performed in practice, and how resultant data are analyzed for quality and content.","biology; molecular biology; proteomics; systems biology; mass spectrometry; rna sequencing; clinical research; flow cytometry; Western Blotting; biotechnology","Systems Biology and Biotechnology",2.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","[14.6,31]","[NULL]","English","life-sciences","research","iCIGe_T6EeS-1yIAC7MN4w"]
["Probability & Statistics","Experiment","Principles of fMRI 1","Johns Hopkins University","Beginner",12.7,4.55,"https://www.coursera.org/learn/functional-mri","This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.\\n\\nA book related to the class can be found here: https://leanpub.com/principlesoffmri","linearity; experiment; experimental design; statistics; linear model; medical imaging; modeling; fmri; analysis; general linear model","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.6,15.4]","[NULL]","English","data-science","data-analysis","X-3RoamkEeWu-gqgbeGTiQ"]
["Probability & Statistics","Experiment","Marketing Analytics","University of Virginia","Beginner",23.4,4.51,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","analytics; brand architecture; brand; marketing analytics; regression analysis; experiment; architecture; stock; analysis; marketing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,27.7]","[NULL]","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Probability & Statistics","Experiment","Data Science in Real Life","Johns Hopkins University","Advanced",12.7,4.36,"https://www.coursera.org/learn/real-life-data-science","Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. \\n\\nThis is a focused course designed to rapidly get you up to speed on doing data science in real life. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.\\n\\nAfter completing this course you will know how to:\\n\\n1, Describe the “perfect” data science experience\\n2. Identify strengths and weaknesses in experimental designs\\n3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls.\\n4. Challenge statistical modeling assumptions and drive feedback to data analysts\\n5. Describe common pitfalls in communicating data analyses\\n6. Get a glimpse into a day in the life of a data analysis manager.\\n\\nThe course will be taught at a conceptual level for active managers of data scientists and statisticians.  Some key concepts being discussed include:\\n1. Experimental design, randomization, A/B testing\\n2. Causal inference, counterfactuals, \\n3. Strategies for managing data quality.\\n4. Bias and confounding\\n5. Contrasting machine learning versus classical statistical inference\\n\\nCourse promo:\\nhttps://www.youtube.com/watch?v=9BIYmw5wnBI\\n\\nCourse cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb","data management; experiment; analysis; data analysis; Data Science; data uri scheme; experimental design; version control; management; statistics","Executive Data Science",4.0,"https://www.coursera.org/specializations/executive-data-science","Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.\\n\\nIn four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.","[3.7,20.4]","[NULL]","English","data-science","data-analysis","MMnLaEEjEeWKOBLv1z6n9w"]
["Probability & Statistics","Exploratory Data Analysis","Exploratory Data Analysis with MATLAB","MathWorks","Intermediate",25.9,4.87,"https://www.coursera.org/learn/exploratory-data-analysis-matlab","In this course, you will learn to think like a data scientist and ask questions of your data.  You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use  MATLAB to automatically generate code so you can learn syntax as you explore.  You will also use interactive documents, called live scripts,  to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.\\n\\nThese skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). \\n\\nBy the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data.  You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.","matrices; curve fitting; live cd; matlab; variance; analysis; analysis of variance; algorithms; image processing; evaluation","Practical Data Science with MATLAB",1.0,"https://www.coursera.org/specializations/practical-data-science-matlab","Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?\\n\\nCompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.\\n\\nThis specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).\\n\\nThroughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.","[17.4,31.4]","[NULL]","English","data-science","data-analysis","oPaAXFvdEemmqxJnu16Qrg"]
["Probability & Statistics","Exploratory Data Analysis","Data Analysis and Reporting in SAS Visual Analytics","SAS","Advanced",8.7,4.85,"https://www.coursera.org/learn/data-analysis-reporting-sas-va","In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.","need; graphs; path (variable); source document; geometric data structures; analysis; sas language; uml tools; data analysis; Data Science","SAS Visual Business Analytics",2.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[3.2,12.1]","[NULL]","English","data-science","data-analysis","EVBf7e-bEemjIRKsAX_xWg"]
["Probability & Statistics","Exploratory Data Analysis","Introduction to Data Analysis Using Excel","Rice University","Beginner",12.0,4.68,"https://www.coursera.org/learn/excel-data-analysis","The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners -  those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. \\n________________________________________\\nWEEK 1\\nModule 1: Introduction to Spreadsheets\\nIn this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.\\n\\nTopics covered include:\\n•\\tReading data into Excel using various formats\\n•\\tBasic functions in Excel, arithmetic as well as various logical functions\\n•\\tFormatting rows and columns\\n•\\tUsing formulas in Excel and their copy and paste using absolute and relative referencing\\n________________________________________\\nWEEK 2\\nModule 2: Spreadsheet Functions to Organize Data\\nThis module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. \\n\\nTopics covered include:\\n•\\tIF and the nested IF functions\\n•\\tVLOOKUP and HLOOKUP\\n•\\tThe RANDBETWEEN function\\n________________________________________\\nWEEK 3\\nModule 3: Introduction to Filtering, Pivot Tables, and Charts\\nThis module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel.\\n\\nTopics covered include:\\n•\\tVLOOKUP across worksheets\\n•\\tData filtering in Excel\\n•\\tUse of Pivot tables with categorical as well as numerical data\\n•\\tIntroduction to the charting capability of Excel\\n________________________________________\\nWEEK 4\\nModule 4: Advanced Graphing and Charting\\nThis module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own.\\n\\nTopics covered include\\n•\\tLine, Bar and Pie charts\\n•\\tPivot charts\\n•\\tScatter plots\\n•\\tHistograms","pivot chart; memoization; histogram; microsoft excel; chart; pivot table; lookup table; data analysis; data uri scheme; analysis","Business Statistics and Analysis",1.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.6,14.6]","Spanish; Arabic","English","data-science","data-analysis","OUTGOrvTEeWuCAqiwoZfSw"]
["Probability & Statistics","Exploratory Data Analysis","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Probability & Statistics","Exploratory Data Analysis","Big Data Analysis with Scala and Spark","École Polytechnique Fédérale de Lausanne","Beginner",14.5,4.64,"https://www.coursera.org/learn/scala-spark-big-data","Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.\\n\\nLearning Outcomes. By the end of this course you will be able to:\\n\\n- read data from persistent storage and load it into Apache Spark,\\n- manipulate data with Spark and Scala,\\n- express algorithms for data analysis in a functional style, \\n- recognize how to avoid shuffles and recomputation in Spark,\\n\\nRecommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming: https://www.coursera.org/learn/parprog1.","scala programming; data uri scheme; distributed computing; mathematical optimization; functional programming; big data; sql; apache spark; data segment; computer programming","Functional Programming in Scala",4.0,"https://www.coursera.org/specializations/scala","Discover how to write elegant code that works the first time it is run.\\n\\nThis Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.","[9.9,17.6]","[NULL]","English","computer-science","algorithms","e8VseYIYEeWxQQoymFg8zQ"]
["Probability & Statistics","Exploratory Data Analysis","Data Analysis Tools","Wesleyan University","Intermediate",12.7,4.44,"https://www.coursera.org/learn/data-analysis-tools","In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.","analysis; data analysis; analysis of variance; statistics; square (algebra); statistical hypothesis testing; correlation and dependence; chi-squared distribution; interaction (statistics); hypothesis testing","Data Analysis and Interpretation",2.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9,15.7]","[NULL]","English","data-science","data-analysis","ENhHCTboEeW8ZAoCexam_w"]
["Probability & Statistics","Forecasting","Time Value of Money","University of Michigan","Beginner",7.5,4.87,"https://www.coursera.org/learn/time-value-of-money","This course is an introduction to time value of money (TVM) and decision-making to help you understand the basics of finance. This course is part of a specialization titled “Foundational Finance for Strategic Decision-Making” and is helpful if you are interested in applying to an MBA degree program or learning the foundations of finance to be more effective in your career. \\n\\nThis course is applied and problem-based with assignments that are intentionally introductory and simpler than real-world applications you will confront when making day-to-day financial decisions and in more advanced courses.","behavioral finance; financial planning (business); time management; analysis; finance; decision-making; investment; personal finance; value investing; financial plan","Foundational Finance for Strategic Decision Making",1.0,"https://www.coursera.org/specializations/foundational-finance","Understand and apply the foundational principles of finance to most business problems and strategies. This integrated set of courses focuses on both the theory and practice of financial decision-making through an applied lens. Ideal for learners seeking to advance their career and/or pursue a business degree, such as a Master of Business Administration (MBA) degree, a great understanding of foundational concepts in finance will help you to understand the principles of personal finance and investing. After successful completion of the four-course program, you will be equipped to make thoughtful decisions based on a framework built using multiple advances in modern financial theory.","[4.4,9.7]","[NULL]","English","business","finance","kaHqc9DREeioHg7n2aFXLg"]
["Probability & Statistics","Forecasting","Simulation Skills: This is Your Brain on the Future","Institute for the Future","Intermediate",16.0,4.83,"https://www.coursera.org/learn/simulation-skills","Do you want to learn how to simulate the future more creatively and more effectively? This course is for you.\\n\\nHumans are the only living creatures with the ability to think about and make plans for the long- term future. Even so, our brains don’t always make it easy. Over the past decade, scientists have discovered a number of neurological “road blocks” to effective futures thinking. These glitches in the brain make it harder for us to accurately predict how we’ll feel and what we’re likely to do, when a particular future arrives. They lead us to make faulty assumptions about which futures are likely or unlikely to happen. And they convince us we have less power to shape and influence the future than we actually do – leaving us stuck in the present. \\n\\nIn this course, you’ll learn how to overcome these obstacles so you can think about the future more strategically and creatively. You’ll practice simulation techniques for “unsticking” the mind when it comes to seeing what’s possible in the future and accepting how things could be different. You’ll also learn how to lead others through “first-person future” simulations, which have been shown in scientific studies to improve strategy and increase motivation and hope for the future. Along the way, leading futurists from the Institute from the Future will share some of their most challenging forecasts to help you stretch your imagination and improve your simulation skills. \\n\\nThis course will ensure that you can put all of your new forecasting skills to the best possible use, by helping you nudge your brain toward more effective ways of simulating and preparing for the future.\\n\\nMany thanks to the Enlight Foundation and the Enlight Collaborative, which provided a grant to support the creation of this course.","simulation; brain; ice bath; brain damage; futures studies; bodyweight exercise; empathy; forecasting; Creativity; blockchains","Futures Thinking",3.0,"https://www.coursera.org/specializations/futures-thinking","Do you want to think about the future with more creativity and optimism? Do you want to see what’s coming faster, so you can be better prepared for disruptions and more in control of your future? Do you want to get better at changing what’s possible today – in your company, your industry, your community, and in your own life?\\n\\nThis Specialization will introduce you to the practice of futures thinking, as developed and applied for the past 50 years by the Institute for the Future, a Silicon-Valley-based research and learning group founded in 1968. You’ll master essential foresight techniques. You’ll meet leading professional futurists. And you’ll choose one or more future topics you want to investigate with your new foresight skills.\\n\\nThe Futures Thinking specialization is for anyone who wants to spot opportunities for innovation and invention faster. You can gain the skills and confidence to help YOU become someone who makes the future, instead of letting the future happen to you. You'll develop a more future-oriented mindset to make positive changes in your own life, as you start to see new possibilities more clearly and craft the personal future you want.\\n\\nThis specialization is based on the “How to Think Like a Futurist” workshops taught by Jane McGonigal, PhD for Stanford University Continuing Studies. By taking this specialization, you'll have access to key lessons and tools from the Institute for the Future’s professional “Foresight Training” certification program.","[7.2,27.5]","[NULL]","English","business","business-essentials","z7N7I4I-EemxHBIfhzoMNA"]
["Probability & Statistics","Forecasting","Forecasting Skills: See the Future Before it Happens","Institute for the Future","Intermediate",16.6,4.85,"https://www.coursera.org/learn/forecasting-skills","For many people, the future comes as a surprise – or even a shock. But with strong forecasting skills, YOU can avoid future shock. You can adapt faster, and become better prepared to benefit from change.\\n\\nIn this course, you’ll build your future forecasting skills. You'll learn how to turn groups of \"signals\" (clues about the future) and \"drivers\" (global forces that influence the direction of change) into compelling future forecasts. Forecasts help you discover new possibilities and opportunities for yourself, your company, or any community you want to inspire to make a better future. \\n\\nYou'll also learn how to write future scenarios. Scenarios take forecasts one step further. They spark imagination and tell a story about what might happen if a forecast comes true. Scenarios help you evaluate: Is this a future I'm ready for? Is this a future I want?\\n\\nLeading futurists from the Institute for the Future will show you exactly how it's done. They'll share with you the forecasts and scenarios they’re most excited about right now, and walk you through the key steps they took to create them. Then, it's your turn! You'll create a forecast and a scenario on any future topic you choose.\\n\\nHow will you benefit from taking this course? With strong forecasting skills, you'll get better at seeing the future before it happens. You'll be ready to consider possibilities that others never see coming or refuse to accept. You'll be able to help others prepare for and adapt to the future. You can decide which futures you want to make more likely, and which futures you want to prevent.\\n\\nMany thanks to the Enlight Foundation and the Enlight Collaborative, which provided a grant to support the creation of this course.","futures studies; foreign exchange market; evaluation; rethinking; writing; forecasting; personal advertisement; thought; blockchains; conscience","Futures Thinking",2.0,"https://www.coursera.org/specializations/futures-thinking","Do you want to think about the future with more creativity and optimism? Do you want to see what’s coming faster, so you can be better prepared for disruptions and more in control of your future? Do you want to get better at changing what’s possible today – in your company, your industry, your community, and in your own life?\\n\\nThis Specialization will introduce you to the practice of futures thinking, as developed and applied for the past 50 years by the Institute for the Future, a Silicon-Valley-based research and learning group founded in 1968. You’ll master essential foresight techniques. You’ll meet leading professional futurists. And you’ll choose one or more future topics you want to investigate with your new foresight skills.\\n\\nThe Futures Thinking specialization is for anyone who wants to spot opportunities for innovation and invention faster. You can gain the skills and confidence to help YOU become someone who makes the future, instead of letting the future happen to you. You'll develop a more future-oriented mindset to make positive changes in your own life, as you start to see new possibilities more clearly and craft the personal future you want.\\n\\nThis specialization is based on the “How to Think Like a Futurist” workshops taught by Jane McGonigal, PhD for Stanford University Continuing Studies. By taking this specialization, you'll have access to key lessons and tools from the Institute for the Future’s professional “Foresight Training” certification program.","[9.2,27.2]","[NULL]","English","business","business-essentials","uVLfj4I-EemYtAoqOXUGpg"]
["Probability & Statistics","Forecasting","Corporate Finance I: Measuring and Promoting Value Creation","University of Illinois at Urbana-Champaign","Advanced",25.2,4.78,"https://www.coursera.org/learn/corporate-finance-measure-success","In this course you will learn how to use key finance principles to understand and measure business success and to identify and promote true value creation. You will learn how to use accounting information to form key financial ratios to measure a company’s financial health and to manage a company's short-term and long-term liquidity needs.  You will also learn how to use valuation techniques to make sound business investment and acquisition decisions. Finally, you will learn how to incorporate risk and uncertainty into investment decisions and how to evaluate the performance of existing investments.\\n\\nUpon successful completion of this course you will be able to:\\n•\\tUnderstand how companies make investment decisions that create value for shareholders\\n•\\tUse accounting statements to measure the financial health of a company\\n•\\tForecast and manage a company’s short- and long-term liquidity needs\\n•\\tMeasure the contribution of a new project or acquisition to shareholder value\\n•\\tIncorporate risk into investment decisions using the appropriate discount rates\\n•\\tEvaluate the performance of a company or divisions of a company\\n\\nThis course was previously entitled Financial Evaluation and Strategy: Corporate Finance. The course received an average rating of 4.7 out of 5 based on 177 reviews over the period of September 2015 through August 2016.  A detailed breakdown of ratings and reviews received for the prior version of the course, which is identical in content to the current course, is provided in the course orientation page.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","corporate bond; mergers and acquisitions; stock; market liquidity; finance; corporate finance; investment; performance; net present value; present value","Financial Management",5.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[14.5,31.6]","[NULL]","English","business","finance","BvEMlUkvEeahWA4Td3Kvcw"]
["Probability & Statistics","Forecasting","Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics","SAS","Advanced",3.7,4.72,"https://www.coursera.org/learn/using-data-geographic-mapping-sas-va","In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.","forecasting; Data Science; visual analytics; analytics; map; restructuring; confidence interval; Mapping; idv; data segment","SAS Visual Business Analytics",3.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[1,5.5]","[NULL]","English","data-science","data-analysis","Mw3qsu-bEem7Cw7a--m-Ig"]
["Probability & Statistics","Forecasting","Demand management: Breaking down today’s commercial silos","ESSEC Business School","Beginner",16.2,4.71,"https://www.coursera.org/learn/demandmanagement","The biggest challenge facing the hospitality industry over the next 5 years is the lack of integration between the key commercial disciplines of sales, revenue, distribution and finance and the negative impact this will continue to have on delivering asset value and maximum profitability.\\n \\nThis course, spread over 4 key modules:\\n\\nAsset Management\\nDemand Generation\\nDigital Marketing\\nDemand Optimisation\\n \\naims to break down these commercial silos and reveal the journey from long-term asset development through to short-term profit tactics and how commercial teams can align themselves throughout the organisation.\\n \\nCreated by SnapShot, this course is hosted by a group of experienced Industry guest lecturers in their fields of expertise and includes an ideal mix of accessible theory and practical exercises and simulations.\\n \\nSnapShot is a Hotel Demand Management company that specializes in helping hotels aggregate and use their data. We provide useful tools as well as innovative education and coaching services to empower hotels to take informed decisions in managing their demand to increase profits.","hotel; demand generation; operations management; demand; asset management; marketing; management; revenue; asset; revenue management","Hotel Management: Distribution, Revenue and Demand Management",3.0,"https://www.coursera.org/specializations/hotel-management","Market hospitality services, manage demand, and optimize revenue.\\n\\nThis Specialization covers the basics of hotel demand management, distribution, and revenue management. You’ll learn how e-commerce intermediaries such as online travel agencies are impacting the already-complex hospitality sector, and you’ll explore tools and techniques that will help you effectively market hospitality services and maximize business revenue in this new global industry landscape. In the final Capstone Project, you’ll evaluate the importance of hotel branding in business success through a hands-on, real-world case study. During the sessions, you will hear from senior hotel industry executives commenting on distribution, revenue and demand management issues. We will also interview two leading Online Travel Agents on how to maximise online business for your property, and have partnered with Duetto and SnapShot, two leading hospitality industry companies, to gain access to cutting edge knowledge, thus insuring that the competencies that you gain will make you operational immediately as well as bang up to date on industry trends.","[10.4,19]","[NULL]","English","business","business-strategy","tsFr5DeHEeWXuQopUhAqaw"]
["Probability & Statistics","Forecasting","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.61,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","moving average; Supply Chain Planning; modeling; demand forecasting; forecasting; demand; supply chain; chaining; Planning; average","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8,14.7]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["Probability & Statistics","Forecasting","The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy","ESSEC Business School","Beginner",9.9,4.54,"https://www.coursera.org/learn/fundamentals-of-revenue-management","With a fixed capacity, a highly disposable product and high fixed costs, hotels are a natural candidate for the application of revenue management. Originally developed by the airlines in the 1970s, these analytics-based techniques help predict consumer behavior at the hotel’s market level so that the hotel can sell each room each night at the optimum price. \\n\\nWith modern-day rising acquisition costs and distribution complexities, revenue management techniques have increasingly been adopted by both small and large hotel companies, making a comprehensive understanding of segmentation, forecasting and pricing an essential requirement for today’s hospitality professionals. The purpose of this course is to provide a core understanding of the fundamentals of revenue management, which ties into the larger picture of revenue strategy. The course is structured to provide an insightful look into Revenue Management.\\n\\nCreated in conjunction with Duetto, this course is hosted by a group of revenue management leaders in both theory and with hands-on experience at properties around the world. Upon completion of the course students should be empowered with industry best practices, which can be applied across the vast diversification the hotel industry to empower those to optimize profits. Duetto delivers powerful revenue strategy solutions to the world’s leading hotels and casinos, combining unparalleled expertise with world-class cloud-based technology.\\n\\nAcknowledgement: Bela Nagy, Agnes Roquefort , Jonathon Liu, Frederic Toitot, Pierrick La Masne, Markus Keller - ACCOR Simone Truscello -  ACE HOTELS. Richard Valtr - MEWS SYSTEM. Jean-Luc Chrétien - FAST BOOKING. Jeannette Ho - FAIRMONT RAFFLES HOTELS & RESORTS. Chinmai Sharma - TAJ HOTEL & RESORTS. Cindy Estis Green - KALIBRI LABS. Jason Thielbar - RED LION. Christopher Cooper - ROCCO FORTE. Rom Hendler - SANDS. Rafi Rejerano - AB Hotels. Riko Van Santen - KEMPINKI HOTELS & RESORTS. Vinod Sukhija - BANYAN TREE HOTELS & RESORTS. Olivier Flement - WALT DISNEY COMPANY. Cidalia Pinto Coehlo - LOUVRE HOTELS. Trevor Stuart-Hill - REVENUE MATTERS. Vincent Cusma, Marco Benvenuti, Eric Stoessel, Gayle Ehrean, Nevin Reed - DUETTO.  Claire Bertrand, Vincent Chatain, Jessica Moses, Benjamin Six (ESSEC Business School), Emilie Dupré (IMAGE-IN), Gregory Halidy (TRIPLAY)","hotel; Hotel Management; analysis; management; revenue management; pricing strategies; hospitality management; revenue; forecasting; pricing","Hotel Management: Distribution, Revenue and Demand Management",2.0,"https://www.coursera.org/specializations/hotel-management","Market hospitality services, manage demand, and optimize revenue.\\n\\nThis Specialization covers the basics of hotel demand management, distribution, and revenue management. You’ll learn how e-commerce intermediaries such as online travel agencies are impacting the already-complex hospitality sector, and you’ll explore tools and techniques that will help you effectively market hospitality services and maximize business revenue in this new global industry landscape. In the final Capstone Project, you’ll evaluate the importance of hotel branding in business success through a hands-on, real-world case study. During the sessions, you will hear from senior hotel industry executives commenting on distribution, revenue and demand management issues. We will also interview two leading Online Travel Agents on how to maximise online business for your property, and have partnered with Duetto and SnapShot, two leading hospitality industry companies, to gain access to cutting edge knowledge, thus insuring that the competencies that you gain will make you operational immediately as well as bang up to date on industry trends.","[5.8,11.8]","[NULL]","English","business","business-strategy","HXsj6jeHEeWJaxK5AT4frw"]
["Probability & Statistics","Forecasting","Practical Time Series Analysis","The State University of New York","Advanced",46.8,4.49,"https://www.coursera.org/learn/practical-time-series-analysis","Welcome to Practical Time Series Analysis!\\n\\nMany of us are \"accidental\" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training.  This course is designed for people with some technical competencies who would like more than a \"cookbook\" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. \\n\\nIn practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more.  We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future.\\n\\nPlease take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn.\\n\\nYou can discuss material from the course with your fellow learners. Please take a moment to introduce yourself!\\n\\nTime Series Analysis can take effort to learn- we have tried to present those ideas that are \"mission critical\" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!","environment variable; time series; modeling; time series analysis; analysis; series a round; time series models; forecasting; autoregressive integrated moving average; Time Series Forecasting","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.1,85]","[NULL]","English","data-science","probability-and-statistics","3XjyPKx5Eea6Cg7XADBQSA"]
["Probability & Statistics","Forecasting","Econometrics: Methods and Applications","Erasmus University Rotterdam","Beginner",29.8,4.49,"https://www.coursera.org/learn/erasmus-econometrics","Welcome!\\nDo you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.\\n\\n* What do I learn?\\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.  You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. \\n\\n* Do I need prior knowledge?\\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.\\n\\n* What literature can I consult to support my studies?\\nYou can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.\\n\\n* Will there be teaching assistants active to guide me through the course?\\nStaff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.\\n\\n* How will I get a certificate?\\nTo gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.\\n\\nHave a nice journey into the world of Econometrics!\\nThe Econometrics team","time series; regression analysis; econometrics; estimation; linearity; statistics; modeling; discrete choice; environment variable; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.6,40.5]","[NULL]","English","data-science","probability-and-statistics","1BM3lirjEeWLVg5w1LoYqQ"]
["Probability & Statistics","Forecasting","Sequences, Time Series and Prediction","deeplearning.ai","Advanced",7.6,4.43,"https://www.coursera.org/learn/tensorflow-sequences-time-series-and-prediction","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","environment variable; tensorflow; series a round; time series; long short-term memory; artificial neural network; modeling; forecasting; analysis; time series models","TensorFlow in Practice",4.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.7,9.4]","[NULL]","English","data-science","machine-learning","0A7WBYfuEemoiA62n0CmxA"]
["Probability & Statistics","Forecasting","Demand Analytics","Rutgers the State University of New Jersey","Beginner",19.4,4.35,"https://www.coursera.org/learn/demand-analytics","Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing!\\n\\nThrough the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to  \\n\\n1. Improve the forecasting accuracy by building and validating demand prediction models. \\n2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact.\\n\\nAK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand.\\n\\nI hope you enjoy the course!","microsoft excel; customer analytics; demand forecasting; supply chain management; demand; supply chain; Demand Planning; forecasting; supply chain analytics; revenue management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,29.9]","[NULL]","English","business","business-essentials","dwra15WxEei-rQ4o5BsS5A"]
["Probability & Statistics","Geostatistics","None","NA","Na","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA","NA"]
["Probability & Statistics","Probability Distribution","An Intuitive Introduction to Probability","University of Zurich","Advanced",59.1,4.74,"https://www.coursera.org/learn/introductiontoprobability","This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a \"toolbox\" of methods to deal with uncertainty in your daily life. \\n\\nThe course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the \"tools\" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away. \\n\\nThe topics covered are: \"Probability\", \"Conditional Probability\", \"Applications\", \"Random Variables\", and \"Normal Distribution\".\\n\\nYou will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!","statistics; dynkin system; probability theory; probability; studentized residual; bayesian; chi-squared distribution; normal distribution; conditional probability; bayes' theorem","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,105.7]","Persian","English","data-science","probability-and-statistics","istduPpxEeWLNRKTxmetJQ"]
["Probability & Statistics","Probability Distribution","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Advanced",23.0,4.75,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","analysis; statistical hypothesis testing; statistical methods; hypothesis; statistical tests; statistics; data uri scheme; statistical analysis; clinical research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.9,26.9]","[NULL]","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["Probability & Statistics","Probability Distribution","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","studentized residual; statistical analysis; chi-squared distribution; probability; statistics; binomial distribution; microsoft excel; normal distribution; poisson distribution; analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[7.5,13.9]","[NULL]","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["Probability & Statistics","Probability Distribution","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Probability & Statistics","Probability Distribution","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Probability Distribution","Understanding and Visualizing Data with Python","University of Michigan","Beginner",15.2,4.58,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","python programming; studentized residual; numpy; sampling statistics; statistics; probability; data visualization; sampling distribution; analysis; computer programming","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.9,23.3]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Probability & Statistics","Probability Distribution","Principles of fMRI 1","Johns Hopkins University","Beginner",12.7,4.55,"https://www.coursera.org/learn/functional-mri","This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data.\\n\\nA book related to the class can be found here: https://leanpub.com/principlesoffmri","linearity; experiment; experimental design; statistics; linear model; medical imaging; modeling; fmri; analysis; general linear model","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.6,15.4]","[NULL]","English","data-science","data-analysis","X-3RoamkEeWu-gqgbeGTiQ"]
["Probability & Statistics","Probability Distribution","Probability and Statistics: To p or not to p?","University of London","Beginner",21.2,4.48,"https://www.coursera.org/learn/probability-statistics","We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.  Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events.\\n\\nTo study, or not to study?  To invest, or not to invest?  To marry, or not to marry?\\n\\nWhile uncertainty makes decision-making difficult, it does at least make life exciting!  If the entire future was known in advance, there would never be an element of surprise.  Whether a good future or a bad future, it would be a known future.\\n\\nIn this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.\\n\\nKey topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.","statistics; multivariate statistics; hypothesis testing; uncertainty; probability; probability and statistics; inference; statistical inference; hypothesis; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.1,30.4]","[NULL]","English","data-science","probability-and-statistics","b_ubIzckEeeeFwoohRNaig"]
["Probability & Statistics","Probability Distribution","Data Science Math Skills","Duke University","Beginner",14.6,4.45,"https://www.coursera.org/learn/datasciencemathskills","Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. \\n\\nLearners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material.\\n\\nTopics include:\\n~Set theory, including Venn diagrams\\n~Properties of the real number line\\n~Interval notation and algebra with inequalities\\n~Uses for summation and Sigma notation\\n~Math on the Cartesian (x,y) plane, slope and distance formulas\\n~Graphing and describing functions and their inverses on the x-y plane,\\n~The concept of instantaneous rate of change and tangent lines to a curve\\n~Exponents, logarithms, and the natural log function.\\n~Probability theory, including Bayes’ theorem.\\n\\nWhile this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, \"Mastering Data Analysis in Excel,\" which is part of the Excel to MySQL Data Science Specialization.  Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in \"Mastering Data Analysis in Excel.\" \\n\\nGood luck and we hope you enjoy the course!","bayesian; euler's totient function; statistics; math; bayes' theorem; probability; dynkin system; factorial; bayesian probability; probability theory","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,18.3]","[NULL]","English","math-and-logic","math-and-logic","2RGeY3RDEeatvg5z1JaMJw"]
["Probability & Statistics","Probability Distribution","Mathematical Biostatistics Boot Camp 1","Johns Hopkins University","Advanced",21.8,4.41,"https://www.coursera.org/learn/biostatistics","This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.","conditional probability; studentized residual; confidence interval; cumulative distribution function; randomness; confidence; statistics; likelihood function; multivariate random variable; probability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,24.5]","[NULL]","English","math-and-logic","math-and-logic","qogqSFgBEeWBNwpVGuknww"]
["Probability & Statistics","Regression","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","learning; computer programming; r programming; linear regression; health data; statistical analysis; Economics; interpretation; medical statistics; gratitude","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.2,16.5]","[NULL]","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["Probability & Statistics","Regression","Machine Learning: Regression","University of Washington","Intermediate",35.8,4.76,"https://www.coursera.org/learn/ml-regression","Case Study - Predicting Housing Prices\\n\\nIn our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...).  This is just one of the many places where regression can be applied.  Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.\\n\\nIn this course, you will explore regularized linear regression models for the task of prediction and feature selection.  You will be able to handle very large sets of features and select between models of various complexity.  You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions.  To fit these models, you will implement optimization algorithms that scale to large datasets.\\n\\nLearning Outcomes:  By the end of this course, you will be able to:\\n   -Describe the input and output of a regression model.\\n   -Compare and contrast bias and variance when modeling data.\\n   -Estimate model parameters using optimization algorithms.\\n   -Tune parameters with cross validation.\\n   -Analyze the performance of the model.\\n   -Describe the notion of sparsity and how LASSO leads to sparse solutions.\\n   -Deploy methods to select between models.\\n   -Exploit the model to form predictions. \\n   -Build a regression model to predict prices using a housing dataset.\\n   -Implement these techniques in Python.","regression analysis; ridge regression; analysis; algorithms; linearity; lasso (statistics); k-nearest neighbors algorithm; statistics; linear regression; lasso (programming language)","Machine Learning",2.0,"https://www.coursera.org/specializations/machine-learning","This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.","[20.3,53.1]","Arabic; Korean","English","data-science","machine-learning","mxdq5kIJEeWC4g7VhG4bTQ"]
["Probability & Statistics","Regression","Linear Regression for Business Statistics","Rice University","Beginner",13.5,4.74,"https://www.coursera.org/learn/linear-regression-business-statistics","Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.  \\nThis is the fourth course in the specialization, \"Business Statistics and Analysis\". The course  introduces you to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects. All these are introduced and explained using easy to understand examples in Microsoft Excel.\\nThe focus of the course is on understanding and application, rather than detailed mathematical derivations.\\nNote: This course uses the ‘Data Analysis’ tool box which is standard with the Windows version of Microsoft Excel. It is also standard with the 2016 or later Mac version of Excel. However, it is not standard with earlier versions of Excel for Mac. \\n\\n\\nWEEK 1\\nModule 1: Regression Analysis: An Introduction\\nIn this module you will get introduced to the Linear Regression Model. We will build a regression model and estimate it using Excel. We will use the estimated model to infer relationships between various variables and use the model to make predictions. The module also introduces the notion of errors, residuals and R-square in a regression model.\\n\\nTopics covered include:\\n•\\tIntroducing the Linear Regression\\n•\\tBuilding a Regression Model and estimating it using Excel\\n•\\tMaking inferences using the estimated model\\n•\\tUsing the Regression model to make predictions\\n•\\tErrors, Residuals and R-square\\n \\n\\nWEEK 2\\nModule 2: Regression Analysis: Hypothesis Testing and Goodness of Fit\\nThis module presents different hypothesis tests you could do using the Regression output. These tests are an important part of inference and the module introduces them using Excel based examples. The p-values are introduced along with goodness of fit measures R-square and the adjusted R-square. Towards the end of module we introduce the ‘Dummy variable regression’ which is used to incorporate categorical variables in a regression. \\n\\nTopics covered include:\\n•\\tHypothesis testing in a Linear Regression\\n•\\t‘Goodness of Fit’ measures (R-square, adjusted R-square)\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n \\n\\nWEEK 3\\nModule 3: Regression Analysis: Dummy Variables, Multicollinearity\\nThis module continues with the application of Dummy variable Regression. You get to understand the interpretation of Regression output in the presence of categorical variables. Examples are worked out to re-inforce various concepts introduced. The module also explains what is Multicollinearity and how to deal with it. \\n\\nTopics covered include:\\n•\\tDummy variable Regression (using Categorical variables in a Regression)\\n•\\tInterpretation of coefficients and p-values in the presence of Dummy variables\\n•\\tMulticollinearity in Regression Models\\n \\n\\nWEEK 4\\nModule 4: Regression Analysis: Various Extensions\\nThe module extends your understanding of the Linear Regression, introducing techniques such as mean-centering of variables and building confidence bounds for predictions using the Regression model. A powerful regression extension known as ‘Interaction variables’ is introduced and explained using examples. We also study the transformation of variables in a regression and in that context introduce the log-log and the semi-log regression models. \\n\\nTopics covered include:\\n•\\tMean centering of variables in a Regression model\\n•\\tBuilding confidence bounds for predictions using a Regression model\\n•\\tInteraction effects in a Regression\\n•\\tTransformation of variables\\n•\\tThe log-log and semi-log regression models","multicollinearity; linear regression; business statistics; interaction; linearity; analysis; statistics; interaction (statistics); regression analysis; microsoft excel","Business Statistics and Analysis",4.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9,18.4]","[NULL]","English","data-science","data-analysis","vFMJd7vTEeWHHg6FD3PArQ"]
["Probability & Statistics","Regression","Linear Regression and Modeling","Duke University","Beginner",13.3,4.69,"https://www.coursera.org/learn/linear-regression-model","This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.","statistics; outlier; computer programming; r programming; linear regression; analysis; regression analysis; model selection; linearity; modeling","Statistics with R",3.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[8.6,16.3]","Korean","English","data-science","data-analysis","oSAFEslDEeWCSBJ1_yk7Tw"]
["Probability & Statistics","Regression","Simple Regression Analysis in Public Health","Johns Hopkins University","Advanced",17.4,4.67,"https://www.coursera.org/learn/simple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.","hazard ratio; biostatistics; rate ratio; public health; medical statistics; psychological abuse; regression analysis; bilirubin; interaction (statistics); gestational age","Biostatistics in Public Health",3.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[10.2,25.4]","[NULL]","English","life-sciences","public-health","yaJi8EQ4EeiajA5pPRmC1g"]
["Probability & Statistics","Regression","Marketing Analytics","University of Virginia","Beginner",23.4,4.51,"https://www.coursera.org/learn/uva-darden-market-analytics","Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. \\n\\nMarketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. \\n\\nThis course gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources.\\n\\nFor more information on marketing analytics, you may visit; http://dmanalytics.org. You can also follow my posts in Twitter, @rajkumarvenk, and on linkedin; www.linkedin.com/in/rajkumar-venkatesan-14970a3.","analytics; brand architecture; brand; marketing analytics; regression analysis; experiment; architecture; stock; analysis; marketing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,27.7]","[NULL]","English","business","marketing","y20FTlDPEeWMlwoziUhyxQ"]
["Probability & Statistics","Regression","Data Modeling and Regression Analysis in Business","University of Illinois at Urbana-Champaign","Intermediate",19.1,4.35,"https://www.coursera.org/learn/data-modeling-regression-analysis-business","The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. The first set of tools will explore data description, statistical inference, and regression. We will extend these concepts to other statistical methods used for prediction when the response variable is categorical such as win-don’t win an auction. In the next segment, students will learn about tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior. ","basic descriptive statistics; leadership; base address; computer programming; data modeling; modeling; join dependency; exploratory data analysis; business analysis; excess risk","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.7,24]","[NULL]","English","business","leadership-and-management","xvN3lRt8EemDxxJ40YD1SA"]
["Probability & Statistics","Regression","Regression Modeling in Practice","Wesleyan University","Intermediate",14.2,4.34,"https://www.coursera.org/learn/regression-modeling-practice","This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.","dependent and independent variables; python programming; linearity; analysis; data analysis; logistic regression; regression analysis; linear regression; confounding; statistics","Data Analysis and Interpretation",3.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9.6,17.5]","[NULL]","English","data-science","probability-and-statistics","XUoQOTbqEeWoUw6Yc8vnEw"]
["Probability & Statistics","Regression","Regression Models","Johns Hopkins University","Beginner",16.9,4.33,"https://www.coursera.org/learn/regression-models","Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.  Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.","generalized linear model; modeling; linear regression; linearity; linear model; analysis; statistics; regression analysis; logistic regression; model selection","Data Science",7.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.2,22.3]","Korean; Vietnamese","English","data-science","probability-and-statistics","a_xPWXNVEeWxvQr3acyajw"]
["Probability & Statistics","Regression","Math behind Moneyball","University of Houston System","Advanced",71.8,4.26,"https://www.coursera.org/learn/mathematics-sport","Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.","regression analysis; monte carlo method; microsoft excel; odds; randomness; random variable; game theory; factorization; normal distribution; analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.3,105.4]","[NULL]","English","data-science","data-analysis","SQKpPNBFEeWLmRLZcSb_zw"]
["Probability & Statistics","Statistical Tests","Data Analytics for Lean Six Sigma","University of Amsterdam","Intermediate",15.2,4.81,"https://www.coursera.org/learn/data-analytics-for-lean-six-sigma","Welcome to this course on Data Analytics for Lean Six Sigma. \\n\\nIn this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.\\n\\nI will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. \\n\\nThe setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. \\n\\nI hope that you enjoy this course and good luck!\\nDr. Inez Zwetsloot & the IBIS UvA team","statistics; data uri scheme; data analysis; trigonometric integral; regression analysis; lean six sigma; six sigma; data segment; analysis; minitab","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.6]","Romanian","English","data-science","data-analysis","X8wHJ9gYEeahUgoYYL5t3g"]
["Probability & Statistics","Statistical Tests","Business Applications of Hypothesis Testing and Confidence Interval Estimation","Rice University","Beginner",14.3,4.78,"https://www.coursera.org/learn/hypothesis-testing-confidence-intervals","Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. \\nThis is the third course in the specialization \"Business Statistics and Analysis\" and the course  advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications.\\n\\nTo successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. \\n\\n\\nWEEK 1\\nModule 1: Confidence Interval - Introduction\\nIn this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals.\\n\\nTopics covered include:\\n•\\tIntroducing the t-distribution, the T.DIST and T.INV excel functions\\n•\\tConceptual understanding of a Confidence Interval\\n•\\tThe z-statistic and the t-statistic\\n•\\tConstructing a Confidence Interval using z-statistic and t-statistic \\n\\n\\nWEEK 2\\nModule 2: Confidence Interval - Applications\\nThis module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing.\\n\\nTopics covered include:\\n•\\tApplications of Confidence Interval\\n•\\tConfidence Interval for a Population Proportion\\n•\\tSample Size Calculation\\n•\\tHypothesis Testing, An Introduction\\n\\n\\nWEEK 3\\nModule 3: Hypothesis Testing\\nThis module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. \\n\\nTopics covered include:\\n•\\tThe Logic of Hypothesis Testing\\n•\\tThe Four Steps for conducting a Hypothesis Test\\n•\\tSingle Tail and Two Tail Hypothesis Tests\\n•\\tGuidelines, Formulas and an Application of Hypothesis Test\\n•\\tHypothesis Test for a Population Proportion\\n•\\tType I and Type II Errors in a Hypothesis \\n\\n\\nWEEK 4\\nModule 4: Hypothesis Test - Differences in Mean\\nIn this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests.\\n\\nTopics covered include:\\n•\\tIntroducing the Difference-In-Means Hypothesis Test\\n•\\tApplications of the Difference-In-Means Hypothesis Test\\n•\\tThe Equal & Unequal Variance Assumption and the Paired t-test for difference in means.\\n•\\tSome more applications","confidence; analysis; microsoft excel; statistical hypothesis testing; confidence interval; software testing; statistics; data analysis; hypothesis testing; hypothesis","Business Statistics and Analysis",3.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","[9.7,16.9]","[NULL]","English","data-science","data-analysis","mVX5M7vTEeWxRxJALS-oFw"]
["Probability & Statistics","Statistical Tests","Inferential Statistics","Duke University","Beginner",24.1,4.77,"https://www.coursera.org/learn/inferential-statistics-intro","This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data","hypothesis; confidence interval; software testing; r programming; statistical inference; statistics; hypothesis testing; statistical hypothesis testing; chi-squared distribution; inference","Statistics with R",2.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[16.3,30.4]","Korean","English","data-science","probability-and-statistics","u3goXsk9EeWT3Aqsn0BGnQ"]
["Probability & Statistics","Statistical Tests","Hypothesis Testing in Public Health","Johns Hopkins University","Advanced",20.5,4.79,"https://www.coursera.org/learn/hypothesis-testing-public-health","Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.","hypothesis testing; drug rehabilitation; medical statistics; biostatistics; public health; sampling distribution; hormone replacement therapy; hypothesis; statistical hypothesis testing; rate ratio","Biostatistics in Public Health",2.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[11.4,30.7]","[NULL]","English","life-sciences","public-health","udpRKkQ4EeitXApS0Q-8QA"]
["Probability & Statistics","Statistical Tests","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Advanced",23.0,4.75,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","analysis; statistical hypothesis testing; statistical methods; hypothesis; statistical tests; statistics; data uri scheme; statistical analysis; clinical research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.9,26.9]","[NULL]","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["Probability & Statistics","Statistical Tests","Econometrics: Methods and Applications","Erasmus University Rotterdam","Beginner",29.8,4.49,"https://www.coursera.org/learn/erasmus-econometrics","Welcome!\\nDo you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.\\n\\n* What do I learn?\\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.  You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. \\n\\n* Do I need prior knowledge?\\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.\\n\\n* What literature can I consult to support my studies?\\nYou can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.\\n\\n* Will there be teaching assistants active to guide me through the course?\\nStaff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.\\n\\n* How will I get a certificate?\\nTo gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.\\n\\nHave a nice journey into the world of Econometrics!\\nThe Econometrics team","time series; regression analysis; econometrics; estimation; linearity; statistics; modeling; discrete choice; environment variable; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.6,40.5]","[NULL]","English","data-science","probability-and-statistics","1BM3lirjEeWLVg5w1LoYqQ"]
["Probability & Statistics","Statistical Tests","Data Analysis Tools","Wesleyan University","Intermediate",12.7,4.44,"https://www.coursera.org/learn/data-analysis-tools","In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.","analysis; data analysis; analysis of variance; statistics; square (algebra); statistical hypothesis testing; correlation and dependence; chi-squared distribution; interaction (statistics); hypothesis testing","Data Analysis and Interpretation",2.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","[9,15.7]","[NULL]","English","data-science","data-analysis","ENhHCTboEeW8ZAoCexam_w"]
["Probability & Statistics","Statistical Tests","Introduction to Data Science in Python","University of Michigan","Intermediate",17.5,4.33,"https://www.coursera.org/learn/python-data-analysis","This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. \\n\\nThis course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.","data uri scheme; pandas; data analysis; Data Science; python programming; data segment; data cleansing; numpy; computer programming; analysis","Applied Data Science with Python",1.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[10.6,22.2]","Vietnamese; Chinese; Hebrew; Korean; Portuguese","English","data-science","data-analysis","RZ1S0B0MEeacvQ6cODzg5Q"]
["Probability & Statistics","Statistics","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Probability & Statistics","Statistics","Global Statistics - Composite Indices for International Comparisons","University of Geneva","Intermediate",17.8,4.89,"https://www.coursera.org/learn/global-statistics","The number of composite indices that are constructed and used internationally is growing very fast; but whilst the complexity of quantitative techniques has increased dramatically, the education and training in this area has been dragging and lagging behind. As a consequence, these simple numbers, expected to synthesize quite complex issues, are often presented to the public and used in the political debate without proper emphasis on their intrinsic limitations and correct interpretations. \\n\\nIn this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods.  These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators.","international relations; varimax rotation; official statistics; index; confirmatory factor analysis; global shipping network; dynamic factor; statistics; partial index; imputation (statistics)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,24.3]","[NULL]","English","data-science","data-analysis","AjJXIVdGEeeWxRIHx3vOxA"]
["Probability & Statistics","Statistics","Improving your statistical inferences","Eindhoven University of Technology","Intermediate",21.4,4.86,"https://www.coursera.org/learn/statistical-inferences","This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. \\n\\nIn practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework.\\n\\nAll videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! \\n\\nIf you enjoyed this course, I can recommend following it up with me new course \"Improving Your Statistical Questions\"","bayesian statistics; bayesian; inference; statistical inference; statistics; bayesian inference; likelihood function; software testing; p-value; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.3,24.2]","Chinese; Italian","English","data-science","probability-and-statistics","tTIZY0EqEeaYxQofsrK9hw"]
["Probability & Statistics","Statistics","Inferential and Predictive Statistics for Business","University of Illinois at Urbana-Champaign","Intermediate",16.8,4.82,"https://www.coursera.org/learn/business-statistics","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. The course aim to cover statistical ideas that apply to managers. We will consider two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on  interpreting the meaning of the results in a business and managerial setting.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies.  This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tTest for beliefs about a population..\\n•\\tCompare differences between populations.\\n•\\tUse linear regression model for prediction. \\n•\\tLearn how to use Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","analysis; hypothesis testing; statistical analysis; hypothesis; business statistics; modeling; statistical inference; statistical hypothesis testing; average; statistics","Managerial Economics and Business Analysis",6.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[10.5,19.8]","Korean","English","business","business-essentials","SPXfEJz9EeWILQ7D3uPEMw"]
["Probability & Statistics","Statistics","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","frequency distribution; pie chart; statistics; data analysis; confidence; statistical analysis; percentile; business statistics; basic descriptive statistics; analysis","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.7,25.5]","Arabic; Korean","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["Probability & Statistics","Statistics","Inferential Statistics","Duke University","Beginner",24.1,4.77,"https://www.coursera.org/learn/inferential-statistics-intro","This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data","hypothesis; confidence interval; software testing; r programming; statistical inference; statistics; hypothesis testing; statistical hypothesis testing; chi-squared distribution; inference","Statistics with R",2.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[16.3,30.4]","Korean","English","data-science","probability-and-statistics","u3goXsk9EeWT3Aqsn0BGnQ"]
["Probability & Statistics","Statistics","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Advanced",23.0,4.75,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","analysis; statistical hypothesis testing; statistical methods; hypothesis; statistical tests; statistics; data uri scheme; statistical analysis; clinical research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.9,26.9]","[NULL]","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["Probability & Statistics","Statistics","Introduction to Statistics & Data Analysis in Public Health","Imperial College London","Advanced",12.1,4.68,"https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health","Welcome to Introduction to Statistics & Data Analysis in Public Health!\\n\\nThis course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","software testing; rstudio; analysis; statistics; statistical analysis; computer programming; statistical hypothesis testing; hypothesis; hypothesis testing; r programming","Statistical Analysis with R for Public Health",1.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.6,15.9]","[NULL]","English","life-sciences","public-health","wYVFrFUOEeiXDgqeSsw0yA"]
["Probability & Statistics","Statistics","Basic Statistics","University of Amsterdam","Advanced",36.3,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","statistical hypothesis testing; studentized residual; confidence interval; r programming; probability; hypothesis testing; confidence; hypothesis; computer programming; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[21.3,52.7]","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["Probability & Statistics","Statistics","Understanding and Visualizing Data with Python","University of Michigan","Beginner",15.2,4.58,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","python programming; studentized residual; numpy; sampling statistics; statistics; probability; data visualization; sampling distribution; analysis; computer programming","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.9,23.3]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Probability & Statistics","Statistics","Probability and Statistics: To p or not to p?","University of London","Beginner",21.2,4.48,"https://www.coursera.org/learn/probability-statistics","We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.  Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events.\\n\\nTo study, or not to study?  To invest, or not to invest?  To marry, or not to marry?\\n\\nWhile uncertainty makes decision-making difficult, it does at least make life exciting!  If the entire future was known in advance, there would never be an element of surprise.  Whether a good future or a bad future, it would be a known future.\\n\\nIn this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.\\n\\nKey topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.","statistics; multivariate statistics; hypothesis testing; uncertainty; probability; probability and statistics; inference; statistical inference; hypothesis; statistical hypothesis testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.1,30.4]","[NULL]","English","data-science","probability-and-statistics","b_ubIzckEeeeFwoohRNaig"]
["Probability & Statistics","Statistics","Statistics for Researchers: Understanding Mediation, Moderation and Beyond","University of Virginia","Advanced",8.1,4.32,"https://www.coursera.org/learn/uva-darden-understanding-data-tools","Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting multilevel analyses using a real dataset and provide articles and templates designed to facilitate your learning. You'll leave with the tools you need to analyze and interpret the results of the datasets you collect as a researcher. \\n\\nBy the end of this course, you will understand the differences between mediation and moderation and between moderated mediation and mediated moderation models (conditional indirect effects), and the importance of multilevel analysis. Most important, you will be able to run mediation, moderation, conditional indirect effect and multilevel models and interpret the results.\\n\\nNote: This course is based on Version 2 of SPSS. You can still apply it to the latest version, but it’s no longer an exact match to the current interface.\\n\\nThis course is supported by the BRAD Lab at the Darden School of Business, which studies organizational behavior, marketing, business ethics, judgment and decision-making, behavioral operations, and entrepreneurship, among other areas. More: http://www.darden.virginia.edu/brad-lab/","market research; indirection; bayesian; spss; multilevel model; moderated mediation; statistics; moderation (statistics); arbitration; mediation (statistics)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,10.8]","[NULL]","English","data-science","data-analysis","gHcK2l2tEee5pxIr-Fg01A"]
["Statistical Programming","Best Courses - Python","Machine Learning with Python","IBM","Beginner",17.5,4.64,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.","statistical classification; data clustering algorithms; algorithms; computer programming; python programming; supply chain; machine learning algorithms; classification algorithms; machine learning; learning","IBM AI Engineering",1.0,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[8.3,21.5]","[NULL]","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["Statistical Programming","Best Courses - Python","Python Basics","University of Michigan","Beginner",22.6,4.76,"https://www.coursera.org/learn/python-basics","This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook \"Fundamentals of Python Programming,\" which is the accompanying text (optional and free) for this course.\\n\\nThe course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is the first of five courses in the Python 3 Programming Specialization.","programming language; computer programming; basic programming language; python syntax and semantics; list & label; semantics; python programming; syntax; language; omega language","Python 3 Programming",1.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[11.4,29.6]","Korean; Vietnamese","English","computer-science","software-development","lGfJI2RJEeiXlwpPEKC-GA"]
["Statistical Programming","Best Courses - Python","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.9,4.83,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","object-oriented programming; indentation (typesetting); euler's totient function; opencv; computer programming; sorting; Data Science; c++; analysis; python programming","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[12.7,32.4]","Vietnamese; Korean","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["Statistical Programming","Best Courses - Python","Data Collection and Processing with Python","University of Michigan","Beginner",15.7,4.65,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","representational state transfer; web api; list & label; application programming interfaces; list comprehension; computer programming; data collection; web; python programming; json","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[7.9,19.9]","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["Statistical Programming","Best Courses - Python","Python Classes and Inheritance","University of Michigan","Beginner",13.7,4.72,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","class (computer programming); computer programming; inheritance (object-oriented programming); python programming; continuous function; django (web framework); software engineering; object-oriented programming; unit testing; opencv","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[6.7,18.3]","[NULL]","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["Statistical Programming","Best Courses - Python","Understanding and Visualizing Data with Python","University of Michigan","Beginner",15.2,4.58,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","python programming; studentized residual; numpy; sampling statistics; statistics; probability; data visualization; sampling distribution; analysis; computer programming","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.9,23.3]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Statistical Programming","Best Courses - R","R Programming","Johns Hopkins University","Beginner",20.0,4.48,"https://www.coursera.org/learn/r-programming","In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.","analysis; r programming; omega language; language; programming language; data uri scheme; euler's totient function; data analysis; computer programming; rstudio","Data Science: Foundations using R",2.0,"https://www.coursera.org/specializations/data-science-foundations-r","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.","[13.9,24.3]","French; Vietnamese; Japanese; Portuguese; Arabic; Chinese; Spanish","English","data-science","data-analysis","RMFRum1BEeWXrA6ju0fvnQ"]
["Statistical Programming","Best Courses - R","Getting and Cleaning Data","Johns Hopkins University","Beginner",14.1,4.5,"https://www.coursera.org/learn/data-cleaning","Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.","regular expression; data uri scheme; data segment; r programming; data cleansing; language; omega language; programming language; cleaning; computer programming","Data Science",3.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.4,17.4]","Vietnamese; Russian; Korean; French; Chinese","English","data-science","data-analysis","HkJsxW0yEeWEewoyD2Bc5Q"]
["Statistical Programming","Best Courses - R","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Statistical Programming","Best Courses - SAS","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Statistical Programming","Best Courses - SAS","Getting Started with SAS Programming","SAS","Beginner",24.6,4.87,"https://www.coursera.org/learn/sas-programming-basics","This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.\\n\\nBy the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.\\n\\nPrerequisites:\\nLearners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.","omega language; sas language; data uri scheme; data reporting; language; sql; computer programming; software as a service; Data Entry; statistics","SAS Programmer",1.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14.9,33.3]","[NULL]","English","data-science","data-analysis","Tx7bH4XkEeiLtQ4wBPSBfA"]
["Statistical Programming","Best Courses - SAS","Doing More with SAS Programming","SAS","Intermediate",24.9,4.81,"https://www.coursera.org/learn/sas-programming-advanced","This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.\\n\\nIn this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data with functions, convert column type, create custom formats, concatenate and merge tables, process repetitive code, and restructure tables. This course addresses Base SAS software.\\n\\nBefore attending this course, you should be able to write DATA step code to access data, subset rows and columns, compute new columns, and process data conditionally. You should also be able to sort tables using the SORT procedure and\\napply SAS formats.","arrays; euler's totient function; sas language; computer science; language; debuggers; data reporting; computer programming; omega language; combine","SAS Programmer",2.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14,31.3]","[NULL]","English","data-science","data-analysis","wR2dUbELEeigbxJYe_5CzA"]
["Statistical Programming","Best Courses - SAS","Practical SAS Programming and Certification Review","SAS","Advanced",36.1,4.78,"https://www.coursera.org/learn/sas-programming-certification-review","In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam.","computer programming; at&t hobbit; confusion; computer science; data analysis; concatenation; analysis; data reporting; combine; case study","SAS Programmer",3.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[15.2,70.3]","[NULL]","English","data-science","data-analysis","FEfS7bzUEeiHWw5HHNMWFg"]
["Statistical Programming","Best Courses - SQL","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Statistical Programming","Best Courses - SQL","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Statistical Programming","Best Courses - SQL","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Statistical Programming","Arcgis","GIS Data Acquisition and Map Design","University of Toronto","Advanced",20.2,4.92,"https://www.coursera.org/learn/gis-data-acquisition-map-design","In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into \"mappable\" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map.","geographic information system; cartography; Data Acquisition; QGIS; arcgis; accuracy and precision; data segment; approximation error; analysis; map","GIS, Mapping, and Spatial Analysis",2.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.1,24.6]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","d1ZGJiHHEeayOhJvUh2IzQ"]
["Statistical Programming","Arcgis","Spatial Analysis and Satellite Imagery in a GIS","University of Toronto","Advanced",15.9,4.89,"https://www.coursera.org/learn/spatial-analysis-satellite-imagery-in-a-gis","In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course.","esri; spatial analysis; geographic information system; cartography; remote sensing; arcgis; Geology; spatial data analysis; satellite; QGIS","GIS, Mapping, and Spatial Analysis",3.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[8.7,21.7]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","eu-2CYXyEeiKGQqaNNlbNg"]
["Statistical Programming","Arcgis","GIS Data Formats, Design and Quality","University of California, Davis","Beginner",21.2,4.84,"https://www.coursera.org/learn/gis-data","In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: \\n\\nWeek 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. \\n\\nWeek 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.\\n\\nWeek 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.\\n\\nWeek 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.\\n\\nTake GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","geographic information system; arcgis; data management; spatial analysis; management; spatial data analysis; statistics; data analysis; analysis; digitizing","Geographic Information Systems  (GIS)",2.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.2,31.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","qqP6hnElEeWi0g6YoSAL-w"]
["Statistical Programming","Arcgis","Fundamentals of GIS","University of California, Davis","Beginner",19.6,4.83,"https://www.coursera.org/learn/gis","Explore the world of spatial analysis and cartography with geographic information systems (GIS). In this class you will learn the basics of the industry’s leading software tool, ArcGIS, during four week-long modules: \\n\\nWeek 1: Learn how GIS grew from paper maps to the globally integrated electronic software packages of today. You will install ArcGIS on your computer and learn how to use online help to answer technical questions.\\n\\nWeek 2: Open up ArcGIS and explore data using ArcMap. Learn the foundational concepts of GIS, how to analyze data, and make your first map.\\n\\nWeek 3: Make your own maps! Symbolize data and create an eye-catching final product. \\n\\nWeek 4: Share your data and maps and learn to store and organize your data.\\n\\nTake Fundamentals of GIS as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. By completing the first class in the Specialization you will gain the skills needed to succeed in the full program.\\n\\nStudents who need an ArcGIS license will receive a non-commercial, 1 year student license for participation in this course and specialization.","software; analysis; geographic information system; cartography; arcgis; spatial data analysis; data analysis; Troubleshooting; arcmap; map","Geographic Information Systems  (GIS)",1.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,25.9]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","hESqA3EhEeWIfhKr_WcYsQ"]
["Statistical Programming","Arcgis","Geospatial and Environmental Analysis","University of California, Davis","Advanced",18.1,4.81,"https://www.coursera.org/learn/spatial-analysis","Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools,  3D data, working with rasters, projections, and environment variables. Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products.\\n\\nIn this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules:\\n\\nWeek 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS\\n\\nWeek 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters\\n\\nWeek 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Learn how to use environment variables to constrain your analyses and get better quality data products.\\n\\nWeek 4: Expand your knowledge of symbology. Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map.\\n\\nTake Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first and second courses in this specialization, \"Fundamentals of GIS\" and \"GIS Data Formats, Design, and Quality\", before taking this course. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program.","arcgis; analysis; spatial data analysis; geographic information system; cartography; remote sensing; QGIS; accuracy and precision; agriculture; Land Use","Geographic Information Systems  (GIS)",3.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[12.6,24.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","zs3YSHQ6EeWrAxJQXw-8PQ"]
["Statistical Programming","Arcgis","Imagery, Automation, and Applications","University of California, Davis","Intermediate",20.7,4.8,"https://www.coursera.org/learn/gis-applications","Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). \\nUsing the knowledge you’ve learned about ArcGIS, complete technical tasks such raster calculations and suitability analysis. In this class you will become comfortable with spatial analysis and applications within GIS during four week-long modules:\\n\\nWeek 1: You'll learn all about remotely sensed and satellite imagery, and be introduced to the electromagnetic spectrum. At the end of this week, you'll be able to find and download satellite imagery online and use it for two common types of analysis: NDVI and trained classification.\\n\\nWeek 2: You'll learn how to use ModelBuilder to create large processing workflows that use parameters, preconditions, variables, and a new set of tools. We'll also explore a few topics that we don't really have time to discuss in detail, but might whet your appetite for future learning in other avenues: geocoding, time-enabled data, spatial statistics, and ArcGIS Pro.\\n\\nWeek 3: In week three, we'll make and use digital elevation models using some new, specific tools such as the cut fill tool, hillshades, viewsheds and more. We'll also go through a few common algorithms including a very important one: the suitability analysis.\\n\\nWeek 4: We'll begin the final week by talking about a few spatial analyst tools we haven't yet touched on in the specialization: Region Group to make our own zones, Focal Statistics to smooth a hillshade, Reclassify to change values, and Point Density to create a density surface. Finally, we'll wrap up by talking about a few more things that you might want to explore more as you start working on learning about GIS topics on your own.\\n\\nTake Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first, second, and third courses in this specialization, \"Fundamentals of GIS,\" \"GIS Data Formats, Design, and Quality\", and \"Geospatial and Environmental Analysis,\" respectively, before taking this course. By completing the fourth class you will gain the skills needed to succeed in the Specialization capstone.","QGIS; satellite; remote sensing; Model Building; Imagery Analysis; statistical classification; modeling; geographic information system; arcgis; analysis","Geographic Information Systems  (GIS)",4.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[13.8,28.4]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","-YdYt3Q6EeWxvQr3acyajw"]
["Statistical Programming","Arcgis","Geospatial Analysis Project","University of California, Davis","Intermediate",12.6,4.8,"https://www.coursera.org/learn/gis-capstone","In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases:\\n\\nMilestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it.\\n\\nMilestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type.\\n\\nMilestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis.\\n\\nMilestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.","integration testing; metadata; remote sensing; arcgis; geographic information system; map; geospatial analysis; analysis; cartography; web","Geographic Information Systems  (GIS)",5.0,"https://www.coursera.org/specializations/gis","Knowledge of Geographic Information Systems (GIS) is an increasingly sought after skill in industries from agriculture to public health. This Specialization, offered in partnership with ArcGIS developer Esri, will teach the skills you need to successfully use GIS software in a professional setting. You will learn how to analyze your spatial data, use cartography techniques to communicate your results in maps, and collaborate with peers in GIS and GIS-dependent fields. In the final Capstone Project, you will create a professional-quality GIS portfolio piece using a combination of data identification and collection, analytical map development, and spatial analysis techniques.\\n\\nInterested in learning advanced GIS topics? Check out the Spatial Data Analysis and Visualization MasterTrack™ Program.","[7.7,15.8]","[NULL]","English","data-science","data-analysis","MXcK-3EiEeWbbw5cIAKQrw"]
["Statistical Programming","Arcgis","Introduction to GIS Mapping","University of Toronto","Advanced",17.3,4.75,"https://www.coursera.org/learn/introduction-gis-mapping","Get started learning about the fascinating and useful world of geographic information systems (GIS)! In this first course of the specialization GIS, Mapping, and Spatial Analysis, you'll learn about what a GIS is, how to get started with the software yourself, how things we find in the real world can be represented on a map, how we record locations using coordinates, and how we can make a two-dimensional map from a three-dimensional Earth. In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. This course will give you a strong foundation in mapping and GIS that will give you the understanding you need to start working with GIS, and to succeed in the other courses in this specialization.\\n\\nThis course is for anyone who wants to learn about mapping and GIS. You don't have to have any previous experience - just your curiosity! The course includes both practical software training and explanations of the concepts you need to know to make informed decisions as you start your journey to becoming a GIS analyst.\\n\\nYou will need a Windows computer with ArcGIS Desktop installed.","arcmap; gis software; arcgis; cartography; satellite; remote sensing; geographic information system; map; QGIS; Mapping","GIS, Mapping, and Spatial Analysis",1.0,"https://www.coursera.org/specializations/gis-mapping-spatial-analysis","This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner.","[10.9,22.3]","[NULL]","English","physical-science-and-engineering","environmental-science-and-sustainability","CVh4TCHHEeaLkRI7JN9TzQ"]
["Statistical Programming","Arcgis","Maps and the Geospatial Revolution","The Pennsylvania State University","Intermediate",14.2,4.65,"https://www.coursera.org/learn/geospatial","Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools.\\n\\nThe past decade has seen an explosion of new mechanisms for understanding and using location information in widely-accessible technologies. This Geospatial Revolution has resulted in the development of consumer GPS tools, interactive web maps, and location-aware mobile devices. These radical advances are making it possible for people from all walks of life to use, collect, and understand spatial information like never before.\\n \\nThis course brings together core concepts in cartography, geographic information systems, and spatial thinking with real-world examples to provide the fundamentals necessary to engage with Geography beyond the surface-level. We will explore what makes spatial information special, how spatial data is created, how spatial analysis is conducted, and how to design maps so that they’re effective at telling the stories we wish to share. To gain experience using this knowledge, we will work with the latest mapping and analysis software to explore geographic problems.","cartography; spatial analysis; location (geography); geographic information system; arcgis; topography; map; postscript; openstreetmap; global positioning system","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,16.8]","Greek; Chinese","English","data-science","data-analysis","dWLeLeJREeWLHw5Kc9wFbw"]
["Statistical Programming","Knitr","Reproducible Research","Johns Hopkins University","Beginner",10.0,4.5,"https://www.coursera.org/learn/reproducible-research","This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them.  The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.","data uri scheme; analysis; statistics; markup language; data analysis; knitr; omega language; r programming; language; computer programming","Data Science",5.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[6.8,12.2]","French; Vietnamese; Korean","English","data-science","data-analysis","-4ffSHNYEeWIfhKr_WcYsQ"]
["Statistical Programming","Knitr","Data Science in Real Life","Johns Hopkins University","Advanced",12.7,4.36,"https://www.coursera.org/learn/real-life-data-science","Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. \\n\\nThis is a focused course designed to rapidly get you up to speed on doing data science in real life. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.\\n\\nAfter completing this course you will know how to:\\n\\n1, Describe the “perfect” data science experience\\n2. Identify strengths and weaknesses in experimental designs\\n3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls.\\n4. Challenge statistical modeling assumptions and drive feedback to data analysts\\n5. Describe common pitfalls in communicating data analyses\\n6. Get a glimpse into a day in the life of a data analysis manager.\\n\\nThe course will be taught at a conceptual level for active managers of data scientists and statisticians.  Some key concepts being discussed include:\\n1. Experimental design, randomization, A/B testing\\n2. Causal inference, counterfactuals, \\n3. Strategies for managing data quality.\\n4. Bias and confounding\\n5. Contrasting machine learning versus classical statistical inference\\n\\nCourse promo:\\nhttps://www.youtube.com/watch?v=9BIYmw5wnBI\\n\\nCourse cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb","data management; experiment; analysis; data analysis; Data Science; data uri scheme; experimental design; version control; management; statistics","Executive Data Science",4.0,"https://www.coursera.org/specializations/executive-data-science","Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.\\n\\nIn four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.","[3.7,20.4]","[NULL]","English","data-science","data-analysis","MMnLaEEjEeWKOBLv1z6n9w"]
["Statistical Programming","Knitr","Regression Models","Johns Hopkins University","Beginner",16.9,4.33,"https://www.coursera.org/learn/regression-models","Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.  Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.","generalized linear model; modeling; linear regression; linearity; linear model; analysis; statistics; regression analysis; logistic regression; model selection","Data Science",7.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.2,22.3]","Korean; Vietnamese","English","data-science","probability-and-statistics","a_xPWXNVEeWxvQr3acyajw"]
["Statistical Programming","Minitab","Data Analytics for Lean Six Sigma","University of Amsterdam","Intermediate",15.2,4.81,"https://www.coursera.org/learn/data-analytics-for-lean-six-sigma","Welcome to this course on Data Analytics for Lean Six Sigma. \\n\\nIn this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.\\n\\nI will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. \\n\\nThe setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. \\n\\nI hope that you enjoy this course and good luck!\\nDr. Inez Zwetsloot & the IBIS UvA team","statistics; data uri scheme; data analysis; trigonometric integral; regression analysis; lean six sigma; six sigma; data segment; analysis; minitab","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,18.6]","Romanian","English","data-science","data-analysis","X8wHJ9gYEeahUgoYYL5t3g"]
["Statistical Programming","Minitab","Experimentation for Improvement","McMaster University","Intermediate",18.5,4.78,"https://www.coursera.org/learn/experimentation","We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? \\n\\nIn this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system.\\n\\nWe use simple tools: starting with fast calculations by hand, then we show how to use FREE software. \\n\\nThe course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable.\\n\\nThis course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. \\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯\\nOver 1000 people have completed this online course. What have prior students said about this course?\\n\\n\"This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses].\"\\n\\n\"Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto.\"\\n\\n\"I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions.\" Jason Eriksen, 3 Jan 2017\\n\\n\"Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze.\" 20 February 2016.\\n\\n\"... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!\"\\n⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯","response surface methodology; experimental design; experiment; process optimization; factorial; mathematical optimization; computer programming; process; r programming; factorial experiment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,24.4]","Portuguese; Spanish","English","data-science","probability-and-statistics","TpvXIzxZEeWjyxInT4zYJQ"]
["Statistical Programming","Minitab","Six Sigma Advanced Analyze Phase","University System of Georgia","Advanced",5.1,4.71,"https://www.coursera.org/learn/six-sigma-analyze-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Analyze\" phase of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the courses \"Six Sigma and the Organization (Advanced)\" and \"Six Sigma Advanced Design and Measure Phase\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of hypothesis testing and design of experiments as they are associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","statistical hypothesis testing; hypothesis testing; Six Sigma Green Belt; lean six sigma; project management; experiment; analysis of variance; six sigma; green belt; confidence","Six Sigma Green Belt",3.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[2.5,7]","Romanian","English","business","leadership-and-management","3l6oe5rMEeajJhIEs83WWg"]
["Statistical Programming","Minitab","Six Sigma Advanced Improve and Control Phases","University System of Georgia","Advanced",8.9,4.62,"https://www.coursera.org/learn/six-sigma-improve-control-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Improve\" and \"Control\" phases of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the courses \"Six Sigma and the Organization (Advanced),\" \"Six Sigma Advanced Design and Measure Phase,\" and \"Six Sigma Advanced Analyze Phase\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of root cause analysis, lean tools, control plan, process control, and statistical process control (SPC) as they are associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","Root Cause Analysis (RCA); process control; statistical process control; Planning; root; trigonometric integral; plan; six sigma; project; Six Sigma Green Belt","Six Sigma Green Belt",4.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[3.8,11.5]","Romanian","English","business","leadership-and-management","9iD2iprMEeaUxQ4a06yGng"]
["Statistical Programming","Minitab","Six Sigma and the Organization (Advanced)","University System of Georgia","Intermediate",16.4,4.57,"https://www.coursera.org/learn/six-sigma-organization-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","process; lean six sigma; six sigma; project management; project; green belt; management; Process Improvement; Six Sigma Green Belt; trigonometric integral","Six Sigma Green Belt",1.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[7,26.3]","Romanian","English","business","leadership-and-management","MQKF8pqsEea7IQ5foiOduA"]
["Statistical Programming","PostgreSQL","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Statistical Programming","PostgreSQL","Data-driven Astronomy","The University of Sydney","Advanced",24.6,4.83,"https://www.coursera.org/learn/data-driven-astronomy","Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy.\\n\\nRegardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes.\\n\\nCourse outline:\\nWeek 1: Thinking about data\\n- Principles of computational thinking\\n- Discovering pulsars in radio images\\n\\nWeek 2: Big data makes things slow\\n- How to work out the time complexity of algorithms\\n- Exploring the black holes at the centres of massive galaxies\\n\\nWeek 3: Querying data using SQL\\n- How to use databases to analyse your data\\n- Investigating exoplanets in other solar systems\\n\\nWeek 4: Managing your data\\n- How to set up databases to manage your data\\n- Exploring the lifecycle of stars in our Galaxy\\n\\nWeek 5: Learning from data: regression\\n- Using machine learning tools to investigate your data\\n- Calculating the redshifts of distant galaxies\\n\\nWeek 6: Learning from data: classification\\n- Using machine learning tools to classify your data\\n- Investigating different types of galaxies\\n\\nEach week will also have an interview with a data-driven astronomy expert.\\n\\nNote that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files.","learning; data uri scheme; computer programming; python programming; computation; computational astronomy; sql; machine learning; applied machine learning; astronomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,34.6]","[NULL]","English","physical-science-and-engineering","physics-and-astronomy","C40AUGZoEeWq4RLQvtY_lQ"]
["Statistical Programming","PostgreSQL","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Statistical Programming","PostgreSQL","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Statistical Programming","PostgreSQL","Big Data Integration and Processing","University of California San Diego","Beginner",22.9,4.35,"https://www.coursera.org/learn/big-data-integration-processing","At the end of the course, you will be able to:\\n\\n*Retrieve data from example database and big data management systems \\n*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications\\n*Identify when a big data problem needs data integration\\n*Execute simple big data integration and processing on Hadoop and Spark platforms\\n\\nThis course is for those new to data science.  Completion of Intro to Big Data is recommended.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  Refer to the specialization technical requirements for complete hardware and software specifications.\\n\\nHardware Requirements: \\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. \\n\\nSoftware Requirements: \\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","sql; analysis; big data; data uri scheme; apache spark; mongodb; data integration; data analysis; postgresql; splunk","Big Data",3.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[11.7,35]","Korean","English","data-science","data-analysis","uWrCG9mpEeWkdgqomU4otw"]
["Statistical Programming","Python Programming","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.9,4.83,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","object-oriented programming; indentation (typesetting); euler's totient function; opencv; computer programming; sorting; Data Science; c++; analysis; python programming","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[12.7,32.4]","Vietnamese; Korean","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["Statistical Programming","Python Programming","Python Basics","University of Michigan","Beginner",22.6,4.76,"https://www.coursera.org/learn/python-basics","This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills. The course has no prerequisites. It will cover Chapters 1-9 of the textbook \"Fundamentals of Python Programming,\" which is the accompanying text (optional and free) for this course.\\n\\nThe course is for you if you're a newcomer to Python programming, if you need a refresher on Python basics, or if you may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is the first of five courses in the Python 3 Programming Specialization.","programming language; computer programming; basic programming language; python syntax and semantics; list & label; semantics; python programming; syntax; language; omega language","Python 3 Programming",1.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[11.4,29.6]","Korean; Vietnamese","English","computer-science","software-development","lGfJI2RJEeiXlwpPEKC-GA"]
["Statistical Programming","Python Programming","Python Classes and Inheritance","University of Michigan","Beginner",13.7,4.72,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","class (computer programming); computer programming; inheritance (object-oriented programming); python programming; continuous function; django (web framework); software engineering; object-oriented programming; unit testing; opencv","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[6.7,18.3]","[NULL]","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["Statistical Programming","Python Programming","Data Collection and Processing with Python","University of Michigan","Beginner",15.7,4.65,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","representational state transfer; web api; list & label; application programming interfaces; list comprehension; computer programming; data collection; web; python programming; json","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[7.9,19.9]","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["Statistical Programming","Python Programming","Machine Learning with Python","IBM","Beginner",17.5,4.64,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.","statistical classification; data clustering algorithms; algorithms; computer programming; python programming; supply chain; machine learning algorithms; classification algorithms; machine learning; learning","IBM AI Engineering",1.0,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[8.3,21.5]","[NULL]","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["Statistical Programming","Python Programming","Applied Machine Learning in Python","University of Michigan","Advanced",23.1,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","evaluation; supervised learning; computer programming; learning; machine learning algorithms; machine learning; machine learning concepts; scikit-learn; python programming; algorithms","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.5,31.8]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["Statistical Programming","Python Programming","Applied Social Network Analysis in Python","University of Michigan","Advanced",18.3,4.58,"https://www.coursera.org/learn/python-social-network-analysis","This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. \\n\\nThis course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.","social network analysis; python programming; network analysis; machine learning; graphs; graph theory; network theory; computer programming; analysis; social network","Applied Data Science with Python",5.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[8.3,28.5]","Korean","English","data-science","data-analysis","ZIVvfx00EeagBBLYvz0q6w"]
["Statistical Programming","Python Programming","Understanding and Visualizing Data with Python","University of Michigan","Beginner",15.2,4.58,"https://www.coursera.org/learn/understanding-visualization-data","In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.\\n\\nAt the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.","python programming; studentized residual; numpy; sampling statistics; statistics; probability; data visualization; sampling distribution; analysis; computer programming","Statistics with Python",1.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[3.9,23.3]","Korean","English","data-science","data-analysis","c0kViF9yEei_nBLwczMEKA"]
["Statistical Programming","Python Programming","Python for Data Science and AI","IBM","Beginner",24.8,4.51,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.","semantics; python programming; pandas; python libraries; python syntax and semantics; computer programming; syntax; data segment; analysis; numpy","IBM Data Science",4.0,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.1,43.6]","German; Korean","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["Statistical Programming","Python Programming","Python and Statistics for Financial Analysis","The Hong Kong University of Science and Technology","Beginner",11.1,4.43,"https://www.coursera.org/learn/python-statistics-financial-analysis","Course Overview: https://youtu.be/JgFV5qzAYno\\n\\nPython is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry.  The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.\\n\\nBy the end of the course, you can achieve the following using python:\\n\\n- Import, pre-process, save and visualize financial data into pandas Dataframe\\n\\n- Manipulate the existing financial data by generating new variables using multiple columns\\n\\n- Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts\\n\\n- Build a trading model using multiple linear regression model \\n\\n- Evaluate the performance of the trading model using different investment indicators\\n\\nJupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.","balance sheet; statistical analysis; financial modeling; analysis; statistics; python programming; pandas; financial analysis; finance; computer programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.1]","[NULL]","English","business","finance","ockwjyGkEeiAdw4vw_tgPg"]
["Statistical Programming","Python Programming","Fitting Statistical Models to Data with Python","University of Michigan","Beginner",6.1,4.47,"https://www.coursera.org/learn/fitting-statistical-models-data-python","In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.\\n\\nThis course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python).\\n\\nDuring these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.","multilevel model; linearity; statistics; marginal model; statistical models; integration testing; clinical study design; python programming; dependent and independent variables; bayesian","Statistics with Python",3.0,"https://www.coursera.org/specializations/statistics-with-python","This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.","[0.6,10.3]","Korean","English","data-science","probability-and-statistics","ZMF2csDUEeiy_Ao4qYTCkA"]
["Statistical Programming","Python Programming","Data Processing Using Python","Nanjing University","Advanced",28.8,4.38,"https://www.coursera.org/learn/python-data-processing","This course (The English copy of \"用Python玩转数据\" <https://www.coursera.org/learn/hipython/home/welcome>)  is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level. \\n\\nThis course, as a whole, based on Finance data and through the establishment of popular cases one after another, enables learners to more vividly feel the simplicity, elegance, and robustness of Python. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. Similarly, it may also be flexibly applied into other fields.\\n\\nThe course has been updated. Updates in the new version are : \\n\\n1) the whole course has moved from Python 2.x to Python 3.x \\n2) Added manual webpage fetching and parsing. Web API is also added. \\n3) Improve the content order and enrich details of some content especially for some practice projects.\\n\\nNote: videos are in Chinese (Simplified) with English subtitles. All other materials are in English.","user interface; numpy; computer programming; interfaces; pandas; graphical user interface; data structure; object-oriented programming; java annotation; python programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.1,41.4]","[NULL]","English","computer-science","software-development","XjmslaE3Eea7DQoksxKcjg"]
["Statistical Programming","Python Programming","Introduction to Data Science in Python","University of Michigan","Intermediate",17.5,4.33,"https://www.coursera.org/learn/python-data-analysis","This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. \\n\\nThis course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.","data uri scheme; pandas; data analysis; Data Science; python programming; data segment; data cleansing; numpy; computer programming; analysis","Applied Data Science with Python",1.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[10.6,22.2]","Vietnamese; Chinese; Hebrew; Korean; Portuguese","English","data-science","data-analysis","RZ1S0B0MEeacvQ6cODzg5Q"]
["Statistical Programming","Python Programming","Applied Plotting, Charting & Data Representation in Python","University of Michigan","Advanced",16.3,4.33,"https://www.coursera.org/learn/python-plotting","This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. \\n\\nThis course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.","graphics; data segment; data virtualization; plot (graphics); matplotlib; data visualization; python programming; computer programming; data uri scheme; pandas","Applied Data Science with Python",2.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[11,20.6]","Korean","English","data-science","data-analysis","IIoidx0zEeaeiw6Wrvtw9w"]
["Statistical Programming","R Programming","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","learning; computer programming; r programming; linear regression; health data; statistical analysis; Economics; interpretation; medical statistics; gratitude","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.2,16.5]","[NULL]","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["Statistical Programming","R Programming","Introduction to Probability and Data","Duke University","Beginner",21.0,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","probability; statistics; computer programming; rstudio; exploratory data analysis; analysis; data analysis; data uri scheme; studentized residual; r programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","[14.3,24.7]","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["Statistical Programming","R Programming","Introduction to Neurohacking In R","Johns Hopkins University","Advanced",42.4,4.65,"https://www.coursera.org/learn/neurohacking","Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.\\n\\nBy the end of this course, you will be able to:\\n\\nRead/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format\\nVisualize and explore these images\\nPerform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template).","image processing; image registration; neuroimaging; wrapper function; preprocessor; computer programming; r programming; system requirements; neurology; interactivity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,76]","[NULL]","English","data-science","data-analysis","jIaMzuYjEeWomRIq0eOZbw"]
["Statistical Programming","R Programming","Exploratory Data Analysis","Johns Hopkins University","Beginner",14.8,4.64,"https://www.coursera.org/learn/exploratory-data-analysis","This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.","data visualization; cluster analysis; data segment; data uri scheme; data analysis; analysis; exploratory data analysis; data clustering algorithms; ggplot2; r programming","Data Science",4.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[10.1,18.6]","Chinese; Vietnamese; Korean","English","data-science","data-analysis","hwiBZm0vEeWbyw5d8C-Blw"]
["Statistical Programming","R Programming","Introduction to Clinical Data Science","University of Colorado System","Advanced",11.0,4.63,"https://www.coursera.org/learn/introduction-clinical-data-science","This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. \\n\\nAt the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.","analysis; computer programming; data analysis; sql; health informatics; Clinical Data Analysis; data segment; r programming; bigquery; rstudio","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13.1]","[NULL]","English","data-science","data-analysis","isEnBWBZEei8GhK6J8TCMg"]
["Statistical Programming","R Programming","Reproducible Research","Johns Hopkins University","Beginner",10.0,4.5,"https://www.coursera.org/learn/reproducible-research","This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them.  The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.","data uri scheme; analysis; statistics; markup language; data analysis; knitr; omega language; r programming; language; computer programming","Data Science",5.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[6.8,12.2]","French; Vietnamese; Korean","English","data-science","data-analysis","-4ffSHNYEeWIfhKr_WcYsQ"]
["Statistical Programming","R Programming","Getting and Cleaning Data","Johns Hopkins University","Beginner",14.1,4.5,"https://www.coursera.org/learn/data-cleaning","Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.","regular expression; data uri scheme; data segment; r programming; data cleansing; language; omega language; programming language; cleaning; computer programming","Data Science",3.0,"https://www.coursera.org/specializations/jhu-data-science","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.","[9.4,17.4]","Vietnamese; Russian; Korean; French; Chinese","English","data-science","data-analysis","HkJsxW0yEeWEewoyD2Bc5Q"]
["Statistical Programming","R Programming","R Programming","Johns Hopkins University","Beginner",20.0,4.48,"https://www.coursera.org/learn/r-programming","In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.","analysis; r programming; omega language; language; programming language; data uri scheme; euler's totient function; data analysis; computer programming; rstudio","Data Science: Foundations using R",2.0,"https://www.coursera.org/specializations/data-science-foundations-r","Ask the right questions, manipulate data sets, and create visualizations to communicate results.\\n\\nThis Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.\\n\\nThe five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.","[13.9,24.3]","French; Vietnamese; Japanese; Portuguese; Arabic; Chinese; Spanish","English","data-science","data-analysis","RMFRum1BEeWXrA6ju0fvnQ"]
["Statistical Programming","R Programming","Foundations of strategic business analytics","ESSEC Business School","Advanced",14.5,4.37,"https://www.coursera.org/learn/strategic-business-analytics","Who is this course for?  \\nThis course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. \\n\\nYou will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering.\\nHowever, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.\\n\\nWith this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business.\\n\\nWe’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues.\\nBy doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. \\n\\nBy the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way.\\n\\nPrerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering)\\n\\nWe give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design.","business analytics; supply chain; management consulting; project management; presentation; forecasting; r programming; analytics; marketing; business","Strategic Business Analytics",1.0,"https://www.coursera.org/specializations/strategic-analytics","This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing.","[10.1,17.9]","[NULL]","English","business","business-essentials","bH3mBTeLEeWXuQopUhAqaw"]
["Statistical Programming","R Programming","Data Modeling and Regression Analysis in Business","University of Illinois at Urbana-Champaign","Intermediate",19.1,4.35,"https://www.coursera.org/learn/data-modeling-regression-analysis-business","The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. The first set of tools will explore data description, statistical inference, and regression. We will extend these concepts to other statistical methods used for prediction when the response variable is categorical such as win-don’t win an auction. In the next segment, students will learn about tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior. ","basic descriptive statistics; leadership; base address; computer programming; data modeling; modeling; join dependency; exploratory data analysis; business analysis; excess risk","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.7,24]","[NULL]","English","business","leadership-and-management","xvN3lRt8EemDxxJ40YD1SA"]
["Statistical Programming","SAS (Software)","Creating Advanced Reports with SAS Visual Analytics","SAS","Advanced",5.7,4.38,"https://www.coursera.org/learn/advanced-reports-sas-va","In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.","visual analytics; gloh; uml tools; ocml; ip flow information export; filter graph; sas language; sawtooth software; automatic image annotation; analytics","SAS Visual Business Analytics",5.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[2.2,7.9]","[NULL]","English","data-science","data-analysis","U2VWB--bEem7Cw7a--m-Ig"]
["Statistical Programming","SAS (Software)","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Statistical Programming","SAS (Software)","Getting Started with SAS Programming","SAS","Beginner",24.6,4.87,"https://www.coursera.org/learn/sas-programming-basics","This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.\\n\\nBy the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.\\n\\nPrerequisites:\\nLearners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.","omega language; sas language; data uri scheme; data reporting; language; sql; computer programming; software as a service; Data Entry; statistics","SAS Programmer",1.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14.9,33.3]","[NULL]","English","data-science","data-analysis","Tx7bH4XkEeiLtQ4wBPSBfA"]
["Statistical Programming","SAS (Software)","Performing Network, Path, and Text Analyses in SAS Visual Analytics","SAS","Intermediate",4.5,4.7,"https://www.coursera.org/learn/network-path-text-analyses-sas-va","In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics.","embedded analytics; modelright; geometric data structures; sas language; web intelligence; minitab; spotfire; estimation (project management); idv; spss modeler","SAS Visual Business Analytics",4.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[1.5,6.3]","Japanese","English","data-science","data-analysis","QgTUKOUUEemxcA6MYUxOhg"]
["Statistical Programming","SAS (Software)","Data Analysis and Reporting in SAS Visual Analytics","SAS","Advanced",8.7,4.85,"https://www.coursera.org/learn/data-analysis-reporting-sas-va","In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.","need; graphs; path (variable); source document; geometric data structures; analysis; sas language; uml tools; data analysis; Data Science","SAS Visual Business Analytics",2.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[3.2,12.1]","[NULL]","English","data-science","data-analysis","EVBf7e-bEemjIRKsAX_xWg"]
["Statistical Programming","SAS (Software)","Doing More with SAS Programming","SAS","Intermediate",24.9,4.81,"https://www.coursera.org/learn/sas-programming-advanced","This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.\\n\\nIn this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data with functions, convert column type, create custom formats, concatenate and merge tables, process repetitive code, and restructure tables. This course addresses Base SAS software.\\n\\nBefore attending this course, you should be able to write DATA step code to access data, subset rows and columns, compute new columns, and process data conditionally. You should also be able to sort tables using the SORT procedure and\\napply SAS formats.","arrays; euler's totient function; sas language; computer science; language; debuggers; data reporting; computer programming; omega language; combine","SAS Programmer",2.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14,31.3]","[NULL]","English","data-science","data-analysis","wR2dUbELEeigbxJYe_5CzA"]
["Statistical Programming","SAS (Software)","Practical SAS Programming and Certification Review","SAS","Advanced",36.1,4.78,"https://www.coursera.org/learn/sas-programming-certification-review","In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam.","computer programming; at&t hobbit; confusion; computer science; data analysis; concatenation; analysis; data reporting; combine; case study","SAS Programmer",3.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[15.2,70.3]","[NULL]","English","data-science","data-analysis","FEfS7bzUEeiHWw5HHNMWFg"]
["Statistical Programming","SAS (Software)","Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics","SAS","Advanced",3.7,4.72,"https://www.coursera.org/learn/using-data-geographic-mapping-sas-va","In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.","forecasting; Data Science; visual analytics; analytics; map; restructuring; confidence interval; Mapping; idv; data segment","SAS Visual Business Analytics",3.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[1,5.5]","[NULL]","English","data-science","data-analysis","Mw3qsu-bEem7Cw7a--m-Ig"]
["Statistical Programming","SAS (Software)","Getting Started with SAS Visual Analytics","SAS","Intermediate",6.0,4.67,"https://www.coursera.org/learn/preparing-data-sas-va","In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.","data mining; analytics; Data Science; visual analytics; sas language; minitab; .properties; business analytics; forecasting; methodology","SAS Visual Business Analytics",1.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[2.8,7.7]","[NULL]","English","data-science","data-analysis","4HXQKO-aEemjIRKsAX_xWg"]
["Statistical Programming","SAS (Software)","Machine Learning Using SAS Viya","SAS","Advanced",26.1,4.52,"https://www.coursera.org/learn/machine-learning-sas","This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems. \\n\\nThis course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding.","predictive modelling; data segment; algorithms; supervision; data clustering algorithms; recursive partitioning; machine learning; learning; analysis; supply chain","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,28.9]","[NULL]","English","data-science","machine-learning","QQWDNDR8EemuNhJSdKP02A"]
["Statistical Programming","SAS (Software)","Using SAS Viya REST APIs with Python and R","SAS","[Null]",22.3,4.33,"https://www.coursera.org/learn/sas-viya-rest-api-python-r","SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. And once SAS Viya has done the heavy lifting, you’ll be able to download data to the client and use native open source syntax to compare results and create graphics.","data mining and machine learning software; gimias; weka (machine learning); representational state transfer; elki; neural network software; pyomo; exponential smoothing; pytorch; supply chain analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,29.4]","[NULL]","English","data-science","data-analysis","N9ARoTR9Eem8AApO0WzJlA"]
["Statistical Programming","SPSS","Statistics with SAS","SAS","Advanced",23.8,4.89,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","v-statistic; stata; statistical analysis; sas (software); akaike information criterion; statistics; sas language; stepwise regression; spss; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,32.8]","[NULL]","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["Statistical Programming","SPSS","Big Data Emerging Technologies","Yonsei University","Advanced",14.0,4.69,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","instagram; big data; internet of things; autonomous cars; ibm scalable powerparallel; Information Mapping; storm (event processor); data segment; apache hadoop; emerging technologies","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.7,19.1]","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["Statistical Programming","SPSS","Sampling People, Networks and Records","University of Michigan","Advanced",30.3,4.4,"https://www.coursera.org/learn/sampling-methods","Good data collection is built on good samples.  But the samples can be chosen in many ways.  Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done.  Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.  Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control.  It is these last kinds of samples that will be discussed in this course.  We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples.  The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.","data clustering algorithms; econometrics; confidence; spss; systematic sampling; survey methodology; design effect; saving; sampling statistics; social network analysis","Survey Data Collection and Analytics",4.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.","[20,45.5]","[NULL]","English","life-sciences","psychology","2_xJtuxuEeWMXQ7KUwccNw"]
["Statistical Programming","SPSS","Statistics for Researchers: Understanding Mediation, Moderation and Beyond","University of Virginia","Advanced",8.1,4.32,"https://www.coursera.org/learn/uva-darden-understanding-data-tools","Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting multilevel analyses using a real dataset and provide articles and templates designed to facilitate your learning. You'll leave with the tools you need to analyze and interpret the results of the datasets you collect as a researcher. \\n\\nBy the end of this course, you will understand the differences between mediation and moderation and between moderated mediation and mediated moderation models (conditional indirect effects), and the importance of multilevel analysis. Most important, you will be able to run mediation, moderation, conditional indirect effect and multilevel models and interpret the results.\\n\\nNote: This course is based on Version 2 of SPSS. You can still apply it to the latest version, but it’s no longer an exact match to the current interface.\\n\\nThis course is supported by the BRAD Lab at the Darden School of Business, which studies organizational behavior, marketing, business ethics, judgment and decision-making, behavioral operations, and entrepreneurship, among other areas. More: http://www.darden.virginia.edu/brad-lab/","market research; indirection; bayesian; spss; multilevel model; moderated mediation; statistics; moderation (statistics); arbitration; mediation (statistics)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,10.8]","[NULL]","English","data-science","data-analysis","gHcK2l2tEee5pxIr-Fg01A"]
["Statistical Programming","SQL","Analyzing Big Data with SQL","Cloudera","Advanced",33.7,4.89,"https://www.coursera.org/learn/cloudera-big-data-analysis-sql-queries","In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.\\n\\nBy the end of the course, you will be able to\\n• explore and navigate databases and tables using different tools;\\n• understand the basics of SELECT statements;\\n• understand how and why to filter results;\\n• explore grouping and aggregation to answer analytic questions;\\n• work with sorting and limiting results; and \\n• combine multiple tables in different ways.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; data analysis; microsoft excel; apache hive; sql; mysql; cloudera; hive; big data; postgresql","Modern Big Data Analysis with SQL",2.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[17.4,56.5]","[NULL]","English","data-science","data-analysis","mXMNeS7BEeiprgoRGbtSRg"]
["Statistical Programming","SQL","Foundations for Big Data Analysis with SQL","Cloudera","Advanced",17.9,4.8,"https://www.coursera.org/learn/foundations-big-data-analysis-sql","In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.\\n\\nBy the end of the course, you will be able to\\n• distinguish operational from analytic databases, and understand how these are applied in big data;\\n• understand how database and table design provides structures for working with data;\\n• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;\\n• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and \\n• explore databases and tables in a big data platform.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","apache hadoop; cloudera; sql; nosql; hive; apache hive; big data; data analysis; data warehousing; big data analytics","Modern Big Data Analysis with SQL",1.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[11.6,23.8]","[NULL]","English","data-science","data-analysis","frVZMy7BEeieyQoEmfUmdA"]
["Statistical Programming","SQL","Managing Big Data in Clusters and Cloud Storage","Cloudera","Advanced",20.4,4.69,"https://www.coursera.org/learn/cloud-storage-big-data-analysis-sql","In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.\\n\\nBy the end of the course, you will be able to\\n• use different tools to browse existing databases and tables in big data systems;\\n• use different tools to explore files in distributed big data filesystems and cloud storage;\\n• create and manage big data databases and tables using Apache Hive and Apache Impala; and\\n• describe and choose among different data types and file formats for big data systems.\\n\\nTo use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:\\n• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)\\n• 64-bit operating system (32-bit operating systems will not work)\\n• 8 GB RAM or more\\n• 25GB free disk space or more\\n• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;\\non Windows and Linux computers, you might need to enable it in the BIOS)\\n• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)","analytics; data analysis; big data; sql; cloudera; hive; apache hadoop; data type; big data analytics; analysis","Modern Big Data Analysis with SQL",3.0,"https://www.coursera.org/specializations/cloudera-big-data-analysis-sql","This Specialization teaches the essential skills for working with large-scale data using SQL.\\n\\nMaybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you.\\n\\nMost courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable.\\n\\nTo query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines.\\n\\nThis Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.","[12.6,26.4]","[NULL]","English","data-science","data-analysis","39Z16y7BEeitCBL1JEiWag"]
["Statistical Programming","SQL","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","query language; omega language; sql; database; data uri scheme; language; Teradata; mysql; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,30]","Russian; Vietnamese; Korean; Spanish; Chinese","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["Statistical Programming","SQL","Databases and SQL for Data Science","IBM","Beginner",12.5,4.59,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","python programming; ipython; sql; sql commands; database connection; management; computer programming; ibm db2; database; relational database","Introduction to Data Science",4.0,"https://www.coursera.org/specializations/introduction-data-science","In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.\\n\\nUpon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6.5,15.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["Statistical Programming","SQL","SQL for Data Science","University of California, Davis","Beginner",20.3,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","Data Science; data uri scheme; analysis; database; data analysis; sql; sql commands; sqlite; data segment; data model","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.7,35.6]","[NULL]","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["Statistical Programming","Stata","Quantitative Methods","University of Amsterdam","Intermediate",35.8,4.67,"https://www.coursera.org/learn/quantitative-methods","Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research!\\n\\nThis course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.","qualitative research; critical thinking; ethics; Research Design; research methods; quantitative research; analysis; Scientific Analysis; stata; threat","Methods and Statistics in Social Sciences",1.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","[23.3,44]","Chinese","English","physical-science-and-engineering","research-methods","rTTFFgb8EeWJMSIAC7Jl0w"]
["Statistical Programming","Stata","Advanced Financial Reporting: Accounting for Business Combinations and Preparation of Consolidated Financial Statements","University of Illinois at Urbana-Champaign","Advanced",29.6,4.68,"https://www.coursera.org/learn/advanced-financial-reporting","This course covers the accounting for business combinations (ASC 805), the preparation of consolidated financial statements (ASC 810), and other related topics including, but not limited to: step-by-step acquisition, deconsolidation, segments reporting, and the goodwill impairment test. This course begins with a discussion of the scope of ASC 805 and the differences between business combinations and asset acquisitions. Next, the course explores the measurement and recognition principles of the acquisition method to account for business combinations. Then, the course covers the consolidation process. You will learn how to prepare the consolidated financial statements and make all of the necessary consolidation adjustments.","management accounting; asset turnover; bookkeeping; financial statement; consolidated financial statement; consolidation (business); finance; accounting; stata; financial accounting","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.2,36.5]","[NULL]","English","business","business-essentials","kKSsgGE2EemA9Q773UQsKg"]

{"sheet":"Human","index":5,"n_rows":72,"n_cols":20,"rows_kept":72,"cut":false,"hidden":false,"merged":[]}
[]
["Human","Back to summary page","This sheet collates the top recommended human courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team"]
[]
["Competency","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["Human Skills","Adaptability","Adapt your leadership style","Macquarie University","Advanced",18.2,4.92,"https://www.coursera.org/learn/leadership-adapt-your-style","Why are organisational misbehaviours such as cynicism, apathy, bullying and disengagement increasingly prevalent in the workplace? This course examines these tensions and how transformational, authentic and inclusive leadership styles offer an alternative to the more autocratic, job-centred and controlling leadership styles of the past. You’ll learn how the digital revolution, along with an increased focus on projects and teamwork, has dramatically altered the perception of leadership in a way that now demands all organisational members take on some form of self-leadership. And you’ll learn how this change is causing tensions between traditional leaders and the contemporary practices vital to maintain agility in today’s ultra-competitive marketplace. This learning will be complemented by structured activities such as video lectures, quizzes, discussion prompts and written assessments.","human-resource-management; leadership-development; leadership; leadership-style; human-resources; agility","Leading: Human Resource Management and Leadership",3.0,"https://www.coursera.org/specializations/hr-management-leadership","Become an adaptable leader, ready to face the challenges of the disrupted workplace. This Specialization will equip you with the skills to lead and navigate the ever-changing global environment we now work in. Through four themed courses you will: learn how to motivate staff with meaningful work (Become a Meaning Maker); better enable your organization to deliver on its strategic objectives (Know Your Organisation); harness your team’s diversity and use teamwork to innovate and increase your organization’s output (Know Your People), and strengthen your personal leadership skills (Adapt Your Leadership Style).","[10.3,24.2]","NA","English","business","leadership-and-management","hN6So5BcEeilcQpNXeebtA"]
["Human Skills","Adaptability","Introduction to Self-Determination Theory: An approach to motivation, development and wellness","University of Rochester","Intermediate",13.4,4.91,"https://www.coursera.org/learn/self-determination-theory","Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. \\n\\nIn this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.","self-determination-theory; psychotherapy; attention-deficit-hyperactivity-disorder; addiction; personal-development; spatial-data-transfer-standard; relationship-counseling; psychology; motivation; coaching","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.3,19]","NA","English","life-sciences","psychology","vQs6P8eLEea_mxKQvxD5nA"]
["Human Skills","Adaptability","Learning How to Learn: Powerful mental tools to help you master tough subjects","University of California San Diego","Beginner",11.8,4.8,"https://www.coursera.org/learn/learning-how-to-learn","This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.  \\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nThis course can be taken independent of, concurrent with, or prior to, its companion course, Mindshift. (Learning How to Learn is more learning focused, and Mindshift is more career focused.)\\n\\nTo join the fully translated Portuguese version of the course, visit: https://www.coursera.org/learn/aprender\\nTo join the fully translated Spanish version of the course, visit: https://www.coursera.org/learn/aprendiendo-a-aprender\\nTo join the fully translated Chinese version of the course, visit: https://www.coursera.org/learn/ruhe-xuexi\\nTo join the fully translated French version of the course, visit : http://www.coursera/learn/apprendre-comment-apprendre","stress; learning-how-to-learn; learning-to-learn; memory; procrastination; integration-testing; pomodoro-technique; test-preparation; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,13.7]","Chinese; Greek; French; Bengali; Ukrainian; Hungarian; Serbian; Italian; Vietnamese; Russian; Portuguese; Persian; Hebrew; Arabic; Spanish; Thai; Estonian; Romanian; Tamil; Polish; Dutch; German","English","personal-development","personal-development","GdeNrll1EeSROyIACtiVvg"]
["Human Skills","Adaptability","Mindware: Critical Thinking for the Information Age","University of Michigan","Beginner",12.0,4.75,"https://www.coursera.org/learn/mindware","Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.\\n\\nWhat kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","statistical-inference; inference; cost; cost-benefit-analysis; critical-thinking; decision-making; statistics; bias; cognitive-bias; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,13]","Ukrainian","English","life-sciences","psychology","2e_l18MBEea6CwrxGAW0VA"]
["Human Skills","Adaptability","Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential","McMaster University","Beginner",13.8,4.75,"https://www.coursera.org/learn/mindshift","Mindshift is designed to help boost your career and life in today’s fast-paced learning environment. Whatever your age or stage, Mindshift teaches you essentials such as how to get the most out of online learning and MOOCs, how to seek out and work with mentors, the secrets to avoiding career ruts (and catastrophes) and general ruts in life, and insights such as the value of selective ignorance over general competence.  We’ll provide practical insights from science about how to learn and change effectively even in maturity, and we’ll build on what you already know to take your life’s learning in fantastic new directions.  This course is designed to show you how to look at what you’re learning, and your place in what’s unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You’ll see that by using certain mental tools and insights, you can learn and do more—far more—than you might have ever dreamed!\\n\\nThis course can be taken independent of, concurrent with, or subsequent to, its companion course, Learning How to Learn.  (Mindshift is more career focused, and Learning How to Learn is more learning focused.)","lifelong-learning; personal-development; confidence; learning-to-learn; career; meditation; pomodoro-technique; mindfulness; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.9]","Spanish; Vietnamese","English","personal-development","personal-development","XDJWC7ZqEeaa7BLnmaLUtg"]
["Human Skills","Adaptability","Introduction to Neuroeconomics: How the Brain Makes Decisions","National Research University Higher School of Economics","Intermediate",30.2,4.63,"https://www.coursera.org/learn/neuroeconomics","Economics, psychology, and neuroscience are converging today into a unified discipline of Neuroeconomics with the ultimate aim of creating a single, general theory of human decision-making. \\n\\nNeuroeconomics provides biologists, economists, psychologists and social scientists with a deeper understanding of how they make their own decisions and how others decide. Neuroscience, when allied with psychology and economics, creates powerful new models to explain why we make decisions. Neurobiological mechanisms of decision-making, decisions under risk, trust and cooperation will be central issues in this course. You will be provided with the most recent evidence from brain-imaging techniques (fMRI, TMS, etc.) and introduced to the explanatory models behind them.\\n\\nThe course does not require any prior study of economics and neuroscience; however, it might require you to study novel interdisciplinary materials. The course provides an introduction to the methodology, assumptions, and main findings of  Neuroeconomics. Our students have different backgrounds; therefore, I have adapted and simplified the course to allow all students to understand the interdisciplinary content. This course will help you to start your progress in the field of Neuroeconomics and to further develop your skills during other more advanced courses and trainings in the future. For some topics, the course will also provide supplementary videos to reveal the opinions of leading experts in the field. Each module provides optional reading material.\\n\\nThe course structure is as follows: During each video, you will have to answer some relevant questions. Your answers will not affect your final grade. At the end of each module, you must complete a quiz consisting of 15 questions. To pass the course, you must reach a satisfactory standard in all the course modules by completing all graded quizzes and the final exam. In addition to watching video lectures and taking quizzes, you will receive an invitation to join our forum. We plan to join the discussions in the forum on a weekly basis.\\n\\nWelcome to Neuroeconomics World!\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","neuroscience; economics; neurobiology; economy; decision-making; neuroeconomics; behavioral-economics; process; brain; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.6,37.9]","NA","English","social-sciences","economics","mGM6AmlPEeSdNiIACrbZkA"]
["Human Skills","Adaptability","Self Awareness and the Effective Leader","Rice University","Intermediate",13.9,4.54,"https://www.coursera.org/learn/self-awareness","Part of being an effective leader is learning how to play to your strengths and overcome characteristics that don't lend to good leadership practices. During the course, you will examine your own strengths and learn ways to use them in a leadership role. Learn to manage stress and solve problems creatively. Throughout the course, you will also build a tool kit of useful techniques that you can begin using right away in your engineering career.\\n\\nThis course is designed for engineers who are interested in and have the desire to advance into leadership and management roles. You don't need any leadership experience to do well in this course. We ask you to reflect on your personal experiences pretty often,, so some work experience will help you in that aspect, but we hope that most of what you learn here will be applicable to many areas of your life.","self-awareness; time-management; leadership; engineering-leadership; stress; stress-management; leadership-development; self-assessment; personal-advertisement; management","Leadership Development for Engineers",1.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[8.2,17.4]","Vietnamese","English","business","leadership-and-management","UK1ovVnFEeaRew7c3D-FCQ"]
["Human Skills","Collaboration","High Performance Collaboration: Leadership, Teamwork, and Negotiation","Northwestern University","Beginner",20.2,4.76,"https://www.coursera.org/learn/leadership-collaboration","Are leaders born or made?  Learn the essential skills to develop and expand your leadership repertoire,  design teams for collaboration, and craft win-win negotiation strategies. High Performance Collaboration: Leadership, Teamwork, and Negotiation focuses on leadership, teamwork, and negotiation. Students will engage in self-assessments to analyze their leadership style, develop team charters to optimize their groups, and develop a game plan for effective negotiation.\\n\\nRecurring course sessions repeat every 2 weeks on Monday with an enrollment period of 5 days.","negotiation; emotional-intelligence; collaboration; team-management; leadership-development; management; communication; leadership; strategic-leadership; team-building","Organizational Leadership",1.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[8.8,32.1]","Vietnamese; Arabic","English","business","leadership-and-management","g2OnMD-OEeWZtA4u62x6lQ"]
["Human Skills","Collaboration","Creativity Toolkit II: Creative Collaboration","University of Illinois at Urbana-Champaign","Intermediate",12.4,4.73,"https://www.coursera.org/learn/creativity-toolkit-2","Creativity requires us to collaborate with others. This course is designed to make you a better creative collaborator. Creativity can require us to bring together knowledge from different areas, often known by different people. We need to foster effective collaboration rather than have those differences lead to misunderstandings and conflict. The ideas that we generate, individually or collectively, will be evaluated by others, such as bosses, funders, and customers. These audiences will likely have different concerns when they hear about your ideas and are likely to evaluate ideas differently than you do. We need to pitch our ideas in ways that get others excited about them, rather than bored or confused, so that we can expand the group of collaborators in our creative efforts.","i-deas; collaboration; evaluation; process; innovation; creativity; disruptive-innovation; entrepreneurship; integration-testing; team-building","Innovation: From Creativity to Entrepreneurship",4.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.7,18.5]","Arabic","English","business","entrepreneurship","vsWg0O14EeaYjA7dKZw2fg"]
["Human Skills","Collaboration","Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator","Yale University","Beginner",26.8,4.81,"https://www.coursera.org/learn/negotiation","This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.\\n\\nIn this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain. Enjoy.","principled-negotiation; communication; collaboration; strategic-thinking; strategic-negotiations; integration-testing; game-theory; added-value; cooperation; negotiation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,34.3]","Arabic","English","business","business-essentials","tGbJuel4EeSnMSIACzuFJw"]
["Human Skills","Collaboration","International Organizations Management","University of Geneva","Beginner",19.3,4.79,"https://www.coursera.org/learn/international-organizations-management","This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today. It will introduce you to effective, state-of-the art management tools and principles to help you lead change in this world – taught by senior staff of international organizations themselves. \\n\\nThis is an introductory course offered by the International Organizations MBA (IO-MBA) of the University of Geneva, an executive program for change-makers in international organizations, NGOs and social ventures.","fundraising; collaborative-partnerships; management; marketing; leadership; marketing-communications; collaboration; communication; partnership; brand","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.6]","NA","English","business","leadership-and-management","kw2eEcR8EeWUVgrPm5MRqw"]
["Human Skills","Collaboration","Leadership in 21st Century Organizations","Copenhagen Business School","Beginner",37.1,4.72,"https://www.coursera.org/learn/leadership-21st-century","Meet Jim Barton, the new CEO of Santa Monica Aerospace. Jim's job won't be easy: the company's hemorrhaging cash, struggling to regain investors' trust after an accounting scandal, and striving to transform its culture to become a more global competitor. In this course, you’ll travel with Jim as he takes on leadership challenges ranging from strategy execution, to inspiring people, to maintaining an ethical approach. Experts agree that twentieth-century leadership practices are inadequate for the stormy twenty-first-century present. This provocative course equips you with the insights you'll need to rise with the occasion of a rapidly shifting business landscape.\\n\\nThe course is based on a book, Harder Than I Thought: Adventures of a 21st Century Leader, by Robert D. Austin, Richard L. Nolan, and Shannon O'Donnell, published by Harvard Business Review Press. Purchase of the book is optional. If you want more information about the book or wish to buy it, see https://hbr.org/product/harder-than-i-thought-adventures-of-a-twenty-first/an/10332-HBK-ENG or http://www.amazon.com/Harder-Than-Thought-Adventures-Twenty-First/dp/1422162591 \\n\\nAfter taking the course, you'll be able to:\\no   Enact your own personal leadership approach, derived from your ongoing evaluation of how Jim Barton has handled his leadership situation, as well as from established leadership concepts and frameworks;\\no   Avoid leadership actions that might have worked in the past, but are not suited to a newly challenging 21st century world;\\no   Navigate treacherous new 21st century leadership challenges, such as greater reliance on specialized workers or the need to respond to external scrutiny in an increasingly transparent world (and many more);\\no   Avoid \"slippery slope\" ethical failures, and think more clearly about the separation between public and private life for a 21st century leader.","strategic-management; communications-management; management-theory; corporate-governance; leadership; team-management; collaboration; communication; management; corporate-bond","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.6,67.4]","NA","English","business","leadership-and-management","sK74dCWgEeW8-A6tkjXxWQ"]
["Human Skills","Communication","Business English for Cross-cultural Communication","The Hong Kong University of Science and Technology","Advanced",21.8,4.75,"https://www.coursera.org/learn/cross-cultural-communication-business","This course aims to prepare you for working in an cross-cultural Business setting. We'll learn about common cross-cultural theories and how they are relevant to everyday business practices in a globalised world. By combining all of your vocabulary, reading, speaking, and writing skills that you acquired in the previous three courses, you will learn how language plays an important role in cross-cultural communication. You will also enhance your cross-cultural understanding and will be able to use vocabulary, tone and style, and spoken and written communication skills within a cross-cultural Business context. Skills learned in this course help prepare you to deliver the professional business presentation in the Capstone project.\\n\\nAfter completing this course, you will be able to:\\n\\n- identify possible cross-cultural issues and misunderstandings in communication\\n- apply strategies to overcome possible cross-cultural issues and misunderstandings in communication\\n- produce documents with an appropriate style for business communication purposes within a cross-cultural situation\\n- deliver a speech with an appropriate style for business communication purposes within a cross-cultural situation","speech; communication; c-ross; learning; business-communication; cross-cultural-communication; professional; english-language; language; integration-testing","Business English for Non-Native Speakers",4.0,"https://www.coursera.org/specializations/business-english-speakers","This Specialization will introduce non-native speakers of English to methods for developing English language and communication skills for the workplace, doing business, cross-cultural understanding, and business case study analysis. You'll apply these skills in the final Capstone Project by analysing a current business case study and providing recommendations to a target audience in both presentation and written formats.","[10.2,34]","NA","English","language-learning","learning-english","B4r5tKMfEeWSJQrARhLW0Q"]
["Human Skills","Communication","Writing Skills for Engineering Leaders","Rice University","Advanced",16.7,4.55,"https://www.coursera.org/learn/engineering-writing","Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader. You’ll learn key principles in\\n•\\tApproaching various engineering genres\\n•\\tUsing the writing process to create quality documents\\n•\\tMaking your writing structured\\n•\\tMaking your writing clear and concise\\n•\\tHandling style, tone, and voice\\n\\nSelected materials courtesy of Communication Faculty at Rice University - all rights reserved.","emailing; wordpress; punctuation; leadership; verbosity; documents; report-writing; concision; writing; integration-testing","Communication Skills for Engineers",3.0,"https://www.coursera.org/specializations/leadership-communication-engineers","Build a toolkit of communication skills that will give you the knowledge and confidence to be an effective engineering leader.\\n\\nEngineers who want to advance in their profession need to be effective communicators. They need to clearly communicate complex ideas and technical project plans. They also need to be strong persuaders. Engineers who are good communicators get recognized by their supervisors and by their clients.\\n\\nIn this three-course Specialization, you will practice designing and giving strong, persuasive presentations; you will learn how to communicate across cultures, genders, and generations, how to create your personal brand and leadership presence, how to hold effective meetings with global teams; you will learn how to handle difficult conversations, and how to handle crisis communication; you will also learn writing skills immediately applicable in your daily activities. Courses are taught by faculty from the Rice Center for Engineering Leadership (RCEL). RCEL is focused on developing engineering leaders at the Rice University’s George R. Brown School of Engineering. It is home to one of a very few academically approved Certificates in Engineering Leadership.","[9.3,27.2]","Arabic","English","business","leadership-and-management","6sk543Q6EeaRqAobOpNSMQ"]
["Human Skills","Communication","Introduction to Public Speaking","University of Washington","Intermediate",15.8,4.75,"https://www.coursera.org/learn/public-speaking","This course gives you a reliable model for preparing and delivering effective presentations. \\n\\nIn business, in school, and in public life, we are often called upon to “make a few comments.” Often, people tasked with such speeches become flummoxed. They might not know what to talk about, or ramble without making a point, or simply be confusing to listen to. This course is designed to help you shine where others falter. \\n\\nWe’ll learn how organize talks clearly, write them memorably, and deliver them confidently. By the end of the course, you should be able to significantly reduce your fear of public speaking, use rehearsal techniques to develop a strong, vibrant speaking voice, and perform speeches with dynamic movement and gestures. The speech model that we’ll practice is useful for briefings, elevator talks, interviews, and even as a structure for hour-long presentations.\\n\\nIf you’re a beginner, this course will help you quickly master the fundamentals of speaking. If you’re a seasoned speaker, this course will help you better understand public speaking and push you to the next level.","public-speaking; confidence; organizing-management; presentation; speech-writing; speech; communication; writing; rhetoric; integration-testing","Dynamic Public Speaking",1.0,"https://www.coursera.org/specializations/public-speaking","Good speaking is your most enduring job skill. This four-course specialization will provide you with the instruction, experience, and practice to develop and deliver compelling presentations. Drawing from the established knowledge in communication, rhetoric, linguistics, and argumentation, each course balances proven ideas with lots of speech practice.\\n\\nThe courses in this specializations should help speakers at all levels. If you are nervous about public speaking, this is for you! I have spent an entire career helping nervous novice speakers grow into confident communicators. We slowly work up specific skills that you can practice multiple times before putting together a longer speech.","[9.6,20]","Portuguese; Arabic; Vietnamese; Spanish","English","business","business-essentials","qLtWVV2nEea6OBIvyzcuGw"]
["Human Skills","Communication","Speaking to inform:  Discussing complex ideas with clear explanations and dynamic slides","University of Washington","Beginner",18.9,4.77,"https://www.coursera.org/learn/inform-speech","In the professional realm, most speeches and presentations we give are informative in scope. A scientist needs to explain her recent research findings. A financial officer needs to report on quarterly earnings to his company’s board. A technology professional needs to educate a consumer about a new product. Any time you need to convey ideas or demonstrate a process, you’re dealing with informative speaking.  \\n\\nInformative speaking is a fun puzzle. You need to think from the perspective of your audience to identify what they need to hear in order to understand the key ideas. How much does the audience already know? What are the most important elements to convey? How should one convey these ideas with appropriate breadth and depth given the time constraints of the speech? This demands a strategic approach to speech design that we’ll undertake in this class.\\n\\nBy the end of the course, you should be able to explain complex ideas vividly and accessibly, design clear and compelling presentation slides, convey your passion for a topic while maintaining your professional credibility, and speak dynamically from notes and/or a manuscript. Learners will record speeches, providing and receiving peer feedback.","need; i-deas; presentation; peering; public-speaking; speech; peer-review; audience; communication; integration-testing","Dynamic Public Speaking",2.0,"https://www.coursera.org/specializations/public-speaking","Good speaking is your most enduring job skill. This four-course specialization will provide you with the instruction, experience, and practice to develop and deliver compelling presentations. Drawing from the established knowledge in communication, rhetoric, linguistics, and argumentation, each course balances proven ideas with lots of speech practice.\\n\\nThe courses in this specializations should help speakers at all levels. If you are nervous about public speaking, this is for you! I have spent an entire career helping nervous novice speakers grow into confident communicators. We slowly work up specific skills that you can practice multiple times before putting together a longer speech.","[8.3,28.5]","Spanish; Arabic","English","personal-development","personal-development","Tmh8wmMHEeanIgrzaLWppw"]
["Human Skills","Communication","Speaking to persuade: Motivating audiences with solid arguments and moving language","University of Washington","Intermediate",18.4,4.72,"https://www.coursera.org/learn/persuade-speech","In the professional realm, we need to be able to argue without being argumentative. Whether you are fundraising for a nonprofit, pitching a business proposal, or suggesting a change to company policy, you are making arguments. In making the case for your topic, you often want to raise awareness, identify a pressing problem, discuss appropriate solutions, and outline specific steps for the audience. \\n\\nTo be persuasive, you must be clear (the audience may have little to no existing knowledge), you must be convincing (you are trying to sway the audience that your argument is valid), and you must be compelling (you are trying to motivate the audience enough so that they want to take specific actions). Persuasive speaking thus requires clarity, strategy, topic mastery, plus a sense of style and presence. \\n\\nBy the end of this course, you should be able to design persuasive speeches that address problems and solutions and that motivate audience members. You should be able to use rhetorical style strategically and deliver passionate and compelling speeches. Learners will record speeches, providing and receiving peer feedback.","language; need; stock; thought; learning; speech; speech-writing; audience; rhetoric; public-speaking","Dynamic Public Speaking",3.0,"https://www.coursera.org/specializations/public-speaking","Good speaking is your most enduring job skill. This four-course specialization will provide you with the instruction, experience, and practice to develop and deliver compelling presentations. Drawing from the established knowledge in communication, rhetoric, linguistics, and argumentation, each course balances proven ideas with lots of speech practice.\\n\\nThe courses in this specializations should help speakers at all levels. If you are nervous about public speaking, this is for you! I have spent an entire career helping nervous novice speakers grow into confident communicators. We slowly work up specific skills that you can practice multiple times before putting together a longer speech.","[9.5,28]","Arabic; Spanish","English","personal-development","personal-development","atv2JmMHEea4ixIRhYg8jQ"]
["Human Skills","Communication","Speaking to Inspire: Ceremonial and Motivational Speeches","University of Washington","Intermediate",17.9,4.74,"https://www.coursera.org/learn/speak-to-inspire-ceremonial-motivational-speeches","The most memorable speeches inspire, entertain, and praise. By blending stories and eloquence, great speeches highlight the core values motivating an audience. You might need to do this in a keynote address, a eulogy, or simply a business meeting. Inspiring audiences is a common, but difficult writing challenge. You want a speech that elevates the topic and the audience. \\n\\nThis course gives you a method for preparing and delivering speeches that inspire and entertain. By the end of this course, you should be able to compose and deliver moving speeches that praise core audience values through evidence, storytelling, and humor. You should be able to write eloquent passages in tones appropriate to the audience and occasion and speak fluidly from either a well-prepared manuscript or from memory. Learners will record speeches, providing and receiving peer feedback.","audience; speech; storytelling; need; fundraising; writing; language; public-speaking; communication; motivation","Dynamic Public Speaking",4.0,"https://www.coursera.org/specializations/public-speaking","Good speaking is your most enduring job skill. This four-course specialization will provide you with the instruction, experience, and practice to develop and deliver compelling presentations. Drawing from the established knowledge in communication, rhetoric, linguistics, and argumentation, each course balances proven ideas with lots of speech practice.\\n\\nThe courses in this specializations should help speakers at all levels. If you are nervous about public speaking, this is for you! I have spent an entire career helping nervous novice speakers grow into confident communicators. We slowly work up specific skills that you can practice multiple times before putting together a longer speech.","[10.5,26.8]","Arabic; Spanish","English","personal-development","personal-development","fqVFH2MHEeaMZBK2pChIVQ"]
["Human Skills","Communication","Storytelling and influencing: Communicate with impact","Macquarie University","Advanced",13.1,4.7,"https://www.coursera.org/learn/communicate-with-impact","An ambitious vision for the future of your organisation isn’t enough – how do you communicate this vision to get your colleagues on board? The ability to effectively communicate and persuade others is a key leadership skill. Traditional and common-sense models of communication and persuasion often fail to capture the complex nature of ‘influencing’. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) this course will develop your capacity to communicate appropriately in different situational and cultural contexts, making you a highly influential leader.","english-language; storytelling; presentation; public-speaking; persuasion; change-management; i-deas; rapport; speech; communication","Influencing: Storytelling, Change Management and Governance",3.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[7.8,15.3]","French","English","business","leadership-and-management","SI2p26W0EeiDiw4YwP822A"]
["Human Skills","Communication","Transmedia Storytelling: Narrative worlds, emerging technologies, and global audiences","UNSW Sydney (The University of New South Wales)","Advanced",24.6,4.72,"https://www.coursera.org/learn/transmedia-storytelling","Transmedia storytelling is the practice of designing, sharing, and participating in a cohesive story experience across multiple traditional and digital delivery platforms - for entertainment, advertising and marketing, or social change. \\n\\nHave you ever read a book, seen a movie, watched a television show, or played a game that centred around different aspects of a larger story or universe? You may be familiar with popular examples of such universes like Star Wars, Marvel, and The Walking Dead (to name a few). \\n\\nHow do the professionals develop such expansive narratives? How do they ensure that each element stays true to the original story? How do they innovatively use different technologies to share the stories, grow audiences and create an active and involved community of fans? \\n\\nMore and more, we are also engaging with elements or franchises of larger and more complex stories across a much more diverse range of platforms like interactive web experiences, social media communities, mobile devices, theme parks, and even augmented and virtual reality. A major challenge that current and future storytellers face is being able to engage different audiences in a story that is seamlessly told across all of these different platforms.\\n\\n\\nWHAT WILL I LEARN?\\nThis course  will help you to design a strategy for developing and telling your own transmedia story. You will learn about what it takes to:\\n• Shape your ideas into compelling and well structured narratives and complex story worlds\\n• Identify, understand, and engage different audiences in your stories\\n• Create cohesive user experiences across different platforms\\n• Evaluate existing and emerging technologies to share your story with the world, and help your audience participate in the larger storyworld you create\\n\\nThe course provides you with a unique, authentic, and industry relevant learning opportunity. You will have access to current theory, industry examples and advice and undertake learning activities that will equip you with the tools you need to start developing your own ideas.\\n\\n\\nWHO WILL MY INSTRUCTORS BE?\\nYou will learn effective transmedia design strategies from leading UNSW Australia Art & Design academics. You will also examine case studies that demonstrate how amazing ideas, technology and audience contributions can be brought together to create dynamic storyworlds. You'll see examples of major, successful transmedia storytelling projects involving movies, digital entertainment, gaming, virtual reality and more. In collaboration with our industry partner X Media Lab, the course will give you inside access to the personal stories, insight and advice of the following innovative transmedia storytelling professionals from Hollywood USA, Canada and Australia. \\n\\n• Susan Bonds, 42 Entertainment, Los Angeles, USA\\n• Flint Dille, Screenwriter, Game Designer and Novelist, Los Angeles, USA\\n• Cindi Drennan, Illuminart, Australia\\n• Tom Ellard, UNSW Art & Design, Sydney, Australia\\n• Catherine Fargher, Dr Egg Digital, Sydney, Australia\\n• Hal Hefner, 3AM Creative, USA\\n• Brian Seth Hurst, StoryTech,  Los Angeles, USA\\n• Henry Jenkins, School for Communication and Journalism, University of Southern California, USA\\n• Mikey Leung, Digital Storytellers, Sydney, Australia\\n• Alex Lieu, 42 Entertainment, Los Angeles, USA\\n• Geoffrey Long, Annenberg Innovation Lab, University of Southern California, USA\\n• John McGhee, UNSW Art & Design, Sydney, Australia\\n• Joseph Narai, Transmedia Entertainment, Sydney, Australia\\n• Jeff Nicholas, The Uprising Creative, Los Angeles, USA\\n• Sergio Paez, Graphic Artist working in animation, TV, video games, and film. Co Founder, StoryboardArt, California, USA\\n• Steve Peters, No Mimes Media, Los Angeles, USA\\n• Stuart Samuels, Stuart Samuels Productions, Toronto, Canada\\n• Charles Santoso, Concept Artist, Sydney, Australia \\n• Seth Shapiro, New Amsterdam Media, Los Angeles, USA\\n• Scott Snibbe, Eyegroove, San Francisco, USA\\n• Tracey Taylor, The Pulse, Sydney, Australia\\n• Robert Tercek, Public Speaker, Digital Media Strategist, and Executive Leader for Creative Ventures and Business Innovation, • University of Southern California, USA\\n• Kevin Williams, Founder & Director of KWP Ltd and DNA Association, UK\\n• Brent Young, Super 78, Los Angeles, USA\\n• Maya Zuckerman, Transmedia SF, San Francisco, USA\\n\\nCOURSE CONTENT DEVELOPMENT\\nKarin Watson, Iman Irannejad, and Dr. Simon McIntyre.","writing; multimedia-design; marketing; storytelling; emerging-technologies; creativity; experience; audience; multimedia; creative-writing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16,31.5]","NA","English","arts-and-humanities","music-and-art","0QsUTZowEeWOGRJpcxIcbQ"]
["Human Skills","Communication","Multimodal Literacies: Communication and Learning in the Era of Digital Media","University of Illinois at Urbana-Champaign","Na",15.3,4.91,"https://www.coursera.org/learn/multimodal-literacies","This course introduces innovative approaches to learning and teaching, with a focus on the use of e-learning and social web technologies.","pedagogy; digital-media; media-literacy; communication-sciences","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.8,20.1]","NA","English","social-sciences","education","XDC_NbfLEeS4lSIAC1AIDw"]
["Human Skills","Communication","Presentation skills: Designing Presentation Slides","National Research Tomsk State University","Advanced",28.6,4.69,"https://www.coursera.org/learn/slides","“Powerpoint slides are like children: no matter how ugly they are, you’ll think they’re beautiful if they’re yours” — Scott Adams, author of the comic strip “Dilbert”.  Due to this cause or another, it’s a huge stress to look at most Powerpoint slides. Depending on the “design” skills of the speaker and audience’s taste slides create different emotions from a slight annoyance to physical sickness.\\n\\nBut that is not the worst thing. The worst thing is that instead of improving the presentation such slides confuse the audience, distract it and finally oblige the speaker to explain them rather than being quite self-explanatory.\\n\\nThe goal of this course is to change that by equipping learners with a set of tools to create simple, clear and aesthetic slides which improve the presentation of the speaker. The course covers universal design principles, templates, colors, typefaces, slides’ typography, use of photos and pictograms, composition rules and ways to create clear and meaningful charts and diagrams.\\n\\nThis course is not a PowerPoint fundamentals course. You should have a basic knowledge of either Microsoft PowerPoint or Apple Keynote software.\\n\\nDon’t meddle, make your slides matter.","typography; personal-advertisement; design-effect; presentation; funds; creativity; presentation-design; visualization-graphic; illustration; technical-analysis","Presentation Skills: Speechwriting, Slides and Delivery",2.0,"https://www.coursera.org/specializations/presentation-skills","Presentations are the most popular way of communication. This Specialization has 4 courses and covers fundamentals of three major presentation skills: 1) Storytelling— the art of crafting an interesting, convincing and evidence-based script of your presentation, 2) Slide design — a merge of graphical and information design to make clean and clear slides that help you deliver your ideas 3) Delivery — the art of interacting with the audience during presentation and a tough Q&A. The 4th and final course of the Specialization is the Capstone project, where you will prepare a presentation «from scratch» with a topic that matters to you and then deliver it to your peers.\\n\\nOur courses are designed for anyone from a rookie speaker to an established presenter. Whether you’re presenting an idea or a product or a complicated issue, this Specialization gives you tools to make it right.\\n\\nWe suggest you take these courses in ascending order. But feel free to choose only the courses you need.\\n\\nThe specialization trailer","[16.7,47.1]","Vietnamese","English","personal-development","personal-development","w2dZhQpFEeaKUQp9KGWIdQ"]
["Human Skills","Communication","Communication Strategies for a Virtual Age","University of Toronto","Intermediate",18.9,4.45,"https://www.coursera.org/learn/communication-strategies-virtual-age","Communication has changed! The traditional rules for speaking and presenting, meeting coordination, influencing people, negotiating and selling ideas no longer apply in a world of skype, messenger, video and teleconference.  This course will act as an overview on several concepts each of which could be a course of their own and our goal is to give you tools that you can practice and perfect on your own.\\n\\nBy the end of this course, you will be able to:\\n\\n•\\tApply communication principles and techniques for in-person and virtual teams\\n•       Use a science based approach to create impactful presentations\\n•\\tRefine your communication style to better persuade and influence others\\n•\\tRun more effective and impactful meetings\\n•       Incorporate strategies to have positive difficult conversations and make people feel valued and listened to\\n\\n*** This course will require you to record yourself speaking.  Therefore you must have a phone/computer with a functional camera and microphone.***\\n\\nWHO SHOULD TAKE THIS COURSE?\\nAnyone looking for professional and/or leadership development.  This class mainly uses examples from the professional, business environment.  If you are looking to advance at your current organization or to enhancing your personal value for potential employers this course is for you.\\n\\nWHAT MAKES THIS COURSE EFFECTIVE?\\nMany educational experiences describe and explain, but in this course we will apply and demonstrate.  We teach practical and proven concepts, show you how to apply them and give you opportunities to practice them in a safe and supportive environment. This course is full of opportunities to put the ideas presented into practice and test their effectiveness for yourself.\\n\\nWHY SHOULD YOU TAKE THIS COURSE?\\nWe will challenge the preconceived ideas about what it means to be part of a virtual team, and support you to be a dynamic team contributor no matter where you work. In this course you can expect to be both energized and uncomfortable – like in most experiences that result in positive growth and change!\\n\\nThis course is offered through the University of Toronto School of Continuing Studies (https://learn.utoronto.ca/).","meeting; public-speaking; virtual-collaboration; presentation; strategic-communication; confidence; collaboration; virtual-team; speech; communication","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.5,20.8]","Japanese","English","business","leadership-and-management","piI3I3igEeeogw6Liqr3Tg"]
["Human Skills","Conflict Management","Conflict Transformation","Emory University","Intermediate",15.8,4.74,"https://www.coursera.org/learn/conflict-transformation","This course introduces you to the concept of conflict transformation and how it differs from conflict resolution, management, and prevention. We’ll see how conflict offers opportunities for constructive change, and we'll explore different tools and methods for engaging conflict constructively.\\n\\nRegardless of your familiarity with the topic, you'll get insightful tips, portable handouts, lively demonstrations, and personalized assignments to bridge and enhance your own knowledge and history within the conflict narrative. In any area of your life, you'll benefit from the practical techniques and transferable information offered throughout this five-week journey.","psychologies; arbitration; communication; listening; facilitation; analysis; active-listening; interaction; psychology; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9,18.4]","Arabic","English","business","business-essentials","FIMs4GViEeanZAqT_8L4Zw"]
["Human Skills","Conflict Management","Mediation and Conflict Resolution","ESSEC Business School","Intermediate",14.6,4.56,"https://www.coursera.org/learn/conflict-resolution-mediation","Mediation is a crucial means to reaching peaceful and agreed solutions in today’s world – on an international, political, industrial, peace-keeping or social level. \\n\\nWith the course you will be able to choose and lead a mediation process. You will gain a deeper understanding of workplace and international conflict resolution. Fundamentals of Negotiation are required to complete this MOOC. You can acquire them through our MOOC \"Negotiation Fundamentals\".\\n\\nAfter this course, you will be able to: \\n\\nDefine what a mediation is and choose when to use it;\\nList different types of mediation;\\nIdentify typical challenges and difficulties that most mediators face;\\nChoose the adequate strategies within a repertoire of options;\\nIdentify the do’s and don’ts in mediation.\\n\\nThis MOOC offers video lectures from leading experts, interactive questions, case studies, practice and graded quizzes.\\n\\nDesigned as a logical follow on from the suite of ESSEC IRENE online courses in negotiation, this course about mediation and conflict resolution teaches a whole set of additional skills and approaches. Developed by one of Europe’s leading institutes of research and education in negotiation and mediation, ESSEC IRENE, this course provides you with a meaningful and effective bouquet of practical cases, tools, approaches and skills to put your mediation into high-impact practice.","speech; conflict-resolution; organizational-conflict; learning; project; organizational-structure; weighting; arbitration; negotiation; integration-testing","Negotiation, Mediation and Conflict Resolution",3.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[9.1,19.6]","German","English","business","leadership-and-management","pPsJvhv9EealIRJP087Tdw"]
["Human Skills","Conflict Management","Personality Types at Work","University of Florida","Beginner",20.4,4.36,"https://www.coursera.org/learn/personality-types-at-work","Knowing yourself, your team, your manager, and your organization are keys to personal and business success. What were once labeled soft skills are now modern requirements in today's workplace - especially if you are trying to get in the door or are already leading a team. This course is specifically designed for the:\\n\\n       -Job Seeker: You will create a usable cover letter with feedback from your peers as well as develop exceptional responses to some of the most common, yet challenging interview questions. We will get you the skills to help get in the door!\\n\\n       -Team Member: You will develop an action plan to confront your personality weaknesses and highlight your strengths so you can ace your annual review. We will also cover strategies that will help you uncover your true worth so you can ask with more confidence. We will get you the skills to get ahead!\\n\\n       -Manager: You will create an effective action plan for an employee, team, or organization based on your new knowledge of personality types and you will create a 360 degree review plan to better identify your strengths and weaknesses. We will get you the skills to rise above the rest!\\n\\nWe will dive deep into the types and teach you how to translate your new knowledge into business success by leveraging personality and emotional intelligence in the workplace - wherever you may be!  Join us!","people-skills; personality; leadership; senior-management; team-management; interaction; communication; personality-development; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8,31.8]","Greek","English","personal-development","personal-development","PI5sDtTUEeWoww7Hc7148Q"]
["Human Skills","Conflict Management","Negotiation skills: Negotiate and resolve conflict","Macquarie University","Beginner",14.4,5.0,"https://www.coursera.org/learn/negotiation-skills-conflict","Modern organisations are characterised by increasingly higher levels of uncertainty, complexity and diversity. In our current globalised work environment, how can you manage the power and politics that persistently influence organisational decision-making? Being savvy about organisational politics and having the nous to negotiate and resolve conflict is a critical capability for managers at all levels. This course will develop your negotiation and conflict resolution skills – crucial to becoming a positive influence in your organisation. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will conceptualise and measure power and politics; analyse and develop strategies for influencing stakeholders; and learn how to act with integrity and purpose when ‘playing politics’.","business-transformation; organization-development; corporate-governance; conflict-resolution; change-management; process-capability; communications-management; risk-management; negotiation","Influencing: Storytelling, Change Management and Governance",2.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[8,17.7]","NA","English","business","business-essentials","Svw7kKXDEeiuigqo2O4RrA"]
["Human Skills","Creativity","Boosting Creativity for Innovation","HEC Paris","Advanced",29.5,4.73,"https://www.coursera.org/learn/boosting-creativity-innovation","Successful contemporary business relies on the ability of all its employees to be creative. Creativity can be developed and refined, albeit with effort and practice. The first goal of this course is to provide a variety of experiences and activities with the aim of developing the creative abilities of each participant. A second goal is to understand the importance of creativity from a consumer perspective. Consumers are being offered more and more opportunities to customize their products and services, and are increasingly seeking to express their creativity through their purchasing choices. As entrepreneurs, we have the ability to shape the consumer environment in ways that help consumers enhance their own creative abilities, and develop a unique relationship with them as a result.\\n\\nThis course is aimed at anyone who wants to understand what we actually know (as opposed to what we think we know) about human creativity, and how to use this knowledge to think differently and productively about business challenges. As the focus is on creativity as a cognitive function, it does not matter what your background is, what industry you come from or want to enter.   \\n\\nAfter completing this course, past students report having acquired a set of strategies that enable them to tackle business problems with a fresh perspective.\\n\\nThis course is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your coursework will count towards your degree program","design-thinking; boosting-machine-learning; functional-fixedness; innovation; creativity; product-development; out-of-the-box-feature; product-business; integration-testing; product","Managing Innovation and Design Thinking",1.0,"https://www.coursera.org/specializations/managing-innovation-design-thinking","Go beyond general management with structured models and techniques used by successful entrepreneurs and CEOs. You will learn how to drive innovation at any stage of business development — from developing an idea to leading a company.\\n\\nTaught by award-winning faculty from HEC Paris, one of Europe’s leading business schools, the curriculum provides structured models and techniques that teach you to be an innovator and change-maker in any industry.\\n\\nThis Specialization is part of the HEC Paris MSc in Innovation and Entrepreneurship. If you are admitted to the full program, your courses count towards your degree program.","[13.4,47.7]","French","English","business","entrepreneurship","W5mm5_tfEeaVgA4fbAXgRA"]
["Human Skills","Creativity","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Human Skills","Creativity","Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship","University of Maryland, College Park","Beginner",11.0,4.59,"https://www.coursera.org/learn/innovative-ideas","This course assists aspiring and active entrepreneurs in developing great ideas into great companies. With strong economies presenting rich opportunities for new venture creation, and challenging economic times presenting the necessity for many to make their own job, the need to develop the skills to develop and act on innovative business opportunities is increasingly vital. \\n\\nUsing proven content, methods, and models for new venture opportunity assessment and analysis, you will learn how to:\\n\\n* Identify and analyze entrepreneurial opportunities;\\n* Enhance your entrepreneurial mindset;\\n* Improve your strategic decision-making; and \\n* Build innovative business models.\\n\\nOur goal is to demystify the startup process, and to help you build the skills to identify and act on innovative opportunities now, and in the future.\\n\\nWith this course, students experience a sampling of the ideas and techniques explored in the University of Maryland's master's degree in technology entrepreneurship, an innovative, 100% online program. Learn more at http://mte.umd.edu/landing.","innovation; opportunity-identification; plan; marketing; planning; market-economics; business-plan; analysis; entrepreneurship; management","Entrepreneurship: Launching an Innovative Business",1.0,"https://www.coursera.org/specializations/business-entrepreneurship","Develop your entrepreneurial mindset and skill sets, learn how to bring innovations to market, and craft a business model to successfully launch your new business.\\n\\nThe Entrepreneurship Specialization examines the entrepreneurial mindset and skill sets, indicators of innovation opportunities, critical steps to bring innovations to the marketplace, and innovation strategies to establish and maintain a competitive advantage. Fundamentals of new venture financing are explored with attention to capital structures for new ventures, term sheets and how to negotiate them, and the differences between early-stage versus later-stage financing. You will develop an understanding of how to develop winning investor pitches, who and when to pitch, how to avoid common mistakes, and how to ‘get to the close’. In the final Capstone Project, you will apply the tools and concepts from the specialization courses by crafting a comprehensive, customer-validated business model, and creating a business plan and investor pitch.","[5.7,13.7]","Spanish; Portuguese; Chinese","English","business","entrepreneurship","URpKtPs6EeSnBSIACi-PoQ"]
["Human Skills","Creativity","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.0,4.81,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","business-model; modeling; business-strategy; business-value; product-market-fit; proposition; innovation; value-proposition; innovation-management; management","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[8.4,16.1]","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["Human Skills","Creativity","Creativity Toolkit II: Creative Collaboration","University of Illinois at Urbana-Champaign","Intermediate",12.4,4.73,"https://www.coursera.org/learn/creativity-toolkit-2","Creativity requires us to collaborate with others. This course is designed to make you a better creative collaborator. Creativity can require us to bring together knowledge from different areas, often known by different people. We need to foster effective collaboration rather than have those differences lead to misunderstandings and conflict. The ideas that we generate, individually or collectively, will be evaluated by others, such as bosses, funders, and customers. These audiences will likely have different concerns when they hear about your ideas and are likely to evaluate ideas differently than you do. We need to pitch our ideas in ways that get others excited about them, rather than bored or confused, so that we can expand the group of collaborators in our creative efforts.","i-deas; collaboration; evaluation; process; innovation; creativity; disruptive-innovation; entrepreneurship; integration-testing; team-building","Innovation: From Creativity to Entrepreneurship",4.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[5.7,18.5]","Arabic","English","business","entrepreneurship","vsWg0O14EeaYjA7dKZw2fg"]
["Human Skills","Creativity","Creativity Toolkit I: Changing Perspectives","University of Illinois at Urbana-Champaign","Intermediate",15.4,4.7,"https://www.coursera.org/learn/creativity-toolkit-1","Thinking and doing the same things faster and better is not enough; we need creativity. Fortunately, creativity is a skill you can learn. This course will examine when, why, and how we can be creative. It examines the cues that trigger us to consider being creative. It provides a road map of the creative process – the process of changing our perspectives – and the kinds of outcomes that result from creativity. It examines how we can go through the creative process more efficiently and more effectively by examining what is changing about our thinking and how we can make those changes. The end result is more flexible thinking that can be used to recognize and develop new opportunities.","creativity; strategic-planning; process; mind-map; uncertainty; learning; innovation; creative-writing; entrepreneurship; integration-testing","Innovation: From Creativity to Entrepreneurship",3.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[6.4,25.2]","Arabic","English","business","entrepreneurship","gjwSt8CPEea6Aw7w3S-LDA"]
["Human Skills","Creativity","Creative Thinking: Techniques and Tools for Success","Imperial College London","Beginner",19.0,4.57,"https://www.coursera.org/learn/creative-thinking-techniques-and-tools-for-success","In today’s ever-growing and changing world, being able to think creatively and innovatively are essential skills. It can sometimes be challenging to step back and reflect in an environment which is fast paced or when you are required to assimilate large amounts of information. Making sense of or communicating new ideas in an innovative and engaging way, approaching problems from fresh angles, and producing novel solutions are all traits which are highly sought after by employers.\\n\\nThis course will equip you with a ‘tool-box’, introducing you to a selection of behaviours and techniques that will augment your innate creativity. Some of the tools are suited to use on your own and others work well for a group, enabling you to leverage the power of several minds.  You can pick and choose which of these tools or techniques suit your needs and interests, focusing on some or all of the selected approaches and in the order that fits best for you.\\n\\nThe practical approach of this course enables you to acquire an essential skill-set for generating ideas, with plenty of:\\n- Fun e-tivities and exercises;\\n- Practical lectures and tips;\\n- Video representations of the techniques in action.\\n\\nBy the end of this course you should be able to:\\n- Pick a type of brainstorming you think will be useful to apply to a challenge\\n- Use alphabet brainstorming in tackling a challenge\\n- Use grid brainstorming in tackling a challenge\\n- Use a morphological chart to synthesise a solution to a challenge\\n- Use the TRIZ contradiction matrix to identify recommended inventive principles\\n- Apply SCAMPER to a range of challenges\\n\\nThe greatest innovators aren’t necessarily the people who have the most original idea. Often, they are people- or teams- that have harnessed their creativity to develop a new perspective or more effective way of communicating an idea. You can train your imagination to seize opportunities, break away from routine and habit, and tap into your natural creativity.\\n\\nJoin this course and our community of practitioners in CREATIVITY!","brainstorming; child-development; triz; brain","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.6,28.4]","NA","English","personal-development","personal-development","IlcRMkZQEemQpxIzLJmmIg"]
["Human Skills","Critical Thinking","Mindware: Critical Thinking for the Information Age","University of Michigan","Beginner",12.0,4.75,"https://www.coursera.org/learn/mindware","Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.\\n\\nWhat kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","statistical-inference; inference; cost; cost-benefit-analysis; critical-thinking; decision-making; statistics; bias; cognitive-bias; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,13]","Ukrainian","English","life-sciences","psychology","2e_l18MBEea6CwrxGAW0VA"]
["Human Skills","Critical Thinking","Model Thinking","University of Michigan","Beginner",37.8,4.77,"https://www.coursera.org/learn/model-thinking","We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. \\n\\nThe models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!","economics; thought; strategic-thinking; modeling; systems-thinking; economic-models; decision-making; integration-testing; critical-thinking; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.6,50.4]","Turkish; Chinese; Arabic; Ukrainian; Portuguese","English","social-sciences","economics","kbmiwPT-EeSW1SIAC3oCCQ"]
["Human Skills","Critical Thinking","Intelligence Tools for the Digital Age","IE Business School","Beginner",8.6,4.68,"https://www.coursera.org/learn/intelligence-tools-digital-age","Digital technologies are changing business, government and society worldwide.  Clearly, they’re opening up new risks and opportunities for every sector of the world economy. Such “futurology” may offer you the big picture, but what does a digital world mean for you, personally?  Will you be ready for an automated, AI-assisted, big-data-driven employment future?  \\n\\nThis course provides you an answer to these questions, and it does so from a unique perspective:  by introducing you to the world of intelligence analysis.  First, this course explains some of the skills that will command a premium in the digital age, and why.  Then, it offers you mental models and practical frameworks developed by the US intelligence community to give you a cognitive edge understanding the digital world.  This edge is not about spying or secrets. It’s about better thinking.  This analytic toolkit has nothing to do with tired, static MBA-style strategy frameworks.  Instead, these tools to help you come to grips with the volatility, uncertainty, ambiguity and deception of the digital age. Ultimately, this course makes the case that as the world becomes more digital, your future success depends most of all on asking better questions of both yourself and others.  Therefore, it teaches you how to adopt an intelligence analyst’s question-asking mindset.  In short, take this course to acquire a sustainable business advantage through clearer, more structured thinking.","business-intelligence; strategic-thinking; analysis; data-analysis; systems-thinking; intelligence-analysis; business-analysis; analytics; critical-thinking; decision-making","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,11.1]","NA","English","business","leadership-and-management","pls4yytZEeigsxKfhos0rA"]
["Human Skills","Critical Thinking","Think Again I: How to Understand Arguments","Duke University","Intermediate",13.8,4.64,"https://www.coursera.org/learn/understanding-arguments","How to Understand Arguments\\n\\nThink Again: How to Reason and Argue\\nReasoning is important. This series of four short courses will teach you how to do it well. You will learn simple but vital rules to follow in thinking about any topic at all and common and tempting mistakes to avoid in reasoning. We will discuss how to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and teachers) and how to construct arguments of your own in order to help you decide what to believe or what to do. These skills will be useful in dealing with whatever matters most to you.\\n\\nCourses at a Glance:\\nAll four courses in this series are offered through sessions which run every four weeks. We suggest sticking to the weekly schedule to the best of your ability. If for whatever reason you fall behind, feel free to re-enroll in the next session.We also suggest that you start each course close to the beginning of a month in order to increase the number of peers in the discussion forums who are working on the same material as you are. While each course can be taken independently, we suggest you take the four courses in order.\\n\\nCourse 1 - Think Again I: How to Understand Arguments\\nCourse 2 - Think Again II: How to Reason Deductively\\nCourse 3 - Think Again III: How to Reason Inductively\\nCourse 4 - Think Again IV: How to Avoid Fallacies\\n\\nAbout This Course in the Series:\\nWhen is someone giving an argument instead of just yelling? Which parts of what they say contribute to the argument? Why are they arguing instead of fighting? What are arguments made of? What forms do they take? Think Again: How to Understand Arguments will answer these questions a more. \\n\\nIn this course, you will learn what an argument is. The definition of argument will enable students to identify when speakers are giving arguments and when they are not. Next, we will learn how to break an argument into its essential parts, how to put them in order to reveal their connections, and how to fill in gaps in an argument. By the end of this course, students will be better able to understand and appreciate arguments that they and other people present.\\n\\nSuggested Readings:\\nStudents who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 1-5, by Walter Sinnott-Armstrong and Robert Fogelin.\\n\\nCourse Format:\\nEach week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.","linguistics; critical-thinking; thought; evaluation; logic; reason; learning; language; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,16.6]","Chinese; Spanish; German; Romanian; Arabic; Italian; Portuguese; Ukrainian","English","personal-development","personal-development","VIUTXB0IEea20BJooCBlFw"]
["Human Skills","Critical Thinking","Think Again III: How to Reason Inductively","Duke University","Intermediate",14.0,4.85,"https://www.coursera.org/learn/inductive-reasoning","How to Reason Inductively\\n\\nThink Again: How to Reason and Argue\\nReasoning is important. This series of four short courses will teach you how to do it well. You will learn simple but vital rules to follow in thinking about any topic at all and common and tempting mistakes to avoid in reasoning. We will discuss how to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and teachers) and how to construct arguments of your own in order to help you decide what to believe or what to do. These skills will be useful in dealing with whatever matters most to you.\\n\\nCourses at a Glance:\\nAll four courses in this series are offered through sessions which run every four weeks. We suggest sticking to the weekly schedule to the best of your ability. If for whatever reason you fall behind, feel free to re-enroll in the next session.We also suggest that you start each course close to the beginning of a month in order to increase the number of peers in the discussion forums who are working on the same material as you are. While each course can be taken independently, we suggest you take the four courses in order.\\n\\nCourse 1 - Think Again I: How to Understand Arguments\\nCourse 2 - Think Again II: How to Reason Deductively\\nCourse 3 - Think Again III: How to Reason Inductively\\nCourse 4 - Think Again IV: How to Avoid Fallacies\\n\\nAbout This Course in the Series:\\nThink Again: How to Reason Inductively \\nWant to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn what distinguishes inductive arguments from deductive arguments and then how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how probability can be used to help us make decisions of all sorts.\\n\\nSuggested Readings\\nStudents who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 8-12, by Walter Sinnott-Armstrong and Robert Fogelin.\\n\\nCourse Format\\nEach week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.","probability; learning; abductive-reasoning; thought; evaluation; diminished-value; inductive-reasoning; philosophy; problem-solving; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.4,16.6]","Spanish; Arabic; Portuguese; Chinese","English","personal-development","personal-development","q3r0bBbMEeafcQ6IJeJ6Vw"]
["Human Skills","Emotional Intelligence","Giving Helpful Feedback","University of Colorado Boulder","Beginner",9.3,4.71,"https://www.coursera.org/learn/feedback","This course teaches you the simple principles expert managers use to improve and motivate employee performance. You’ll never have to avoid telling an employee “the truth” again, because the seven techniques we teach will not make employees defensive or afraid. As a manager, or someone who would like to be a manager, you’ll also learn specifically what feedback is, how negative feedback is weighed more heavily than positive, and how positive feedback can super-charge behaviors such as creativity and teamwork.\\n\\nGiving feedback is a skill which develops over time. We give you a process you can use to improve your feedback skills and deliver it with confidence. You will find that there is a scientific basis for many of your observations and intuitions about feedback—such as, it is hard to give correctly, people don’t like it, and more. This will be reassuring as you learn how to overcome these difficulties. We hope you have a fantastic time becoming a better manager!","leadership; professional; building-relationships; performance; integration-testing; management; communication; performance-management; coaching; staff-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,12.3]","German; French; Spanish; Italian; Arabic","English","business","business-essentials","HUJ11BnoEeWg_RJGAuFGjw"]
["Human Skills","Emotional Intelligence","Inspiring Leadership through Emotional Intelligence","Case Western Reserve University","Beginner",28.0,4.66,"https://www.coursera.org/learn/emotional-intelligence-leadership","Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.","emotional-intelligence; leadership; mindfulness; compassion; emotional-intelligence-2dot0; leadership-development; communication; coaching; management; integration-testing","Inspired Leadership",1.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[16.2,41.3]","Portuguese; Romanian; Hindi; Ukrainian; Chinese; French; Turkish; Kazakh; Arabic","English","business","leadership-and-management","5NGh4meREeSxSCIAC1SPQw"]
["Human Skills","Emotional Intelligence","Leadership and Emotional Intelligence","Indian School of Business","Advanced",12.1,4.74,"https://www.coursera.org/learn/emotional-intelligence-in-leadership","The digital age is dramatically reshaping the rules for organizational success. The new context demands renewal of your capabilities and development of different mindsets.  In this course, you’ll learn the different components of emotional intelligence at work. For example, you’ll learn how you can work effectively in teams, build cooperative relationships with your key stakeholders, exercise effective influence, handle difficult conversations, and create energy and enthusiasm to foster meaningful change. Our modules will begin with powerful stories that are illustrative of typical challenges faced by front-line leaders. We’ll analyze the case illustration using the ideas from emotional intelligence theory, and highlight the key lessons that you should take away in terms of mindsets and skills that you should master to distinguish yourself as a leader.","communication; management; emotional-intelligence; delegation; active-listening; leadership; change-management; listening; negotiation; emotional-competence","Business Technology Management",5.0,"https://www.coursera.org/specializations/business-technology-managment","With digital transformation, products and business models in today's competitive environment are increasingly being transformed by technology. This new digital economy places information technology (IT) at the centre of firm strategy and operations, and requires a new breed of IT managers and leaders who can examine technology through a business lens.\\n\\nThe Business Technology Management Specialization will empower you with knowledge of the IT domain, project management, leadership and team building skills, and functional and analytical skills. These skills are critical skills for leveraging technology to create competitive advantage.\\n\\nThis Specialization will introduce you to the IT-powered digital transformation that business are going through. It will enable you to understand how insightful executives leverage IT to create value and understand the competitive dynamics of industries that consume significant technology.\\n\\nIt will also introduce you to Business Analytics in a world of digital media, including the right toolscape, like being able to run the Analytics Desktop with leading tools like RStudio and GitHub.\\n\\nFinally, this Specialization will introduce you to customer analytics and enable you to develop an appreciation of problem-solving, data collection, prediction and optimization that can be enabled using digital media tools.\\n\\nVideo: Professor Deepa Mani speaks about the Specialization","[7.2,15.3]","Arabic","English","business","leadership-and-management","9E7syCLvEeayOhJvUh2IzQ"]
["Human Skills","Emotional Intelligence","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Human Skills","Influencing","Influencing People","University of Michigan","Beginner",13.1,4.71,"https://www.coursera.org/learn/influencing-people","This course will improve your ability to influence people in situations where you cannot use formal authority. You will learn about effective ways to build, develop, and sustain a power base in your organization. You will also learn influence tactics that enable you to be more persuasive and influential in working with your superiors, peers, and even subordinates. In addition, you will learn how to build and maintain high-quality relationships to further maximize your informal power and ability to influence others. Importantly, you will distinguish between influence and manipulation and learn how to protect yourself from the unwanted influence of others.\\n\\nThe influence strategies you learn in this course will make you a more confident and influential leader, presenter, and decision-maker. You will more effective in pitching business ideas to your superiors, influencing customers, and building coalitions across stakeholders. This course will not only give you strategic guidance on how to develop and maintain your network for influence and power, but we will also equip you with specific tactics and strategies that are proven to work for gaining power and influencing people.","communications-management; social-skills; influencer-marketing; communication; marketing; learning; leadership; negotiation; management; integration-testing","Leading People and Teams",3.0,"https://www.coursera.org/specializations/leading-teams","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[8.6,16.5]","Arabic; Korean; Vietnamese","English","business","business-essentials","myQGkjlZEeWJaxK5AT4frw"]
["Human Skills","Influencing","Inspiring and Motivating Individuals","University of Michigan","Beginner",18.8,4.71,"https://www.coursera.org/learn/motivate-people-teams","In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. \\n\\nMotivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.","leadership-development; goal; smart-criteria; performance; infrastructure-for-spatial-information-in-the-european-community; team-management; leadership; communication; management; motivation","Leading People and Teams",1.0,"https://www.coursera.org/specializations/leading-teams","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[12.7,22.1]","Russian; Mongolian; Vietnamese; Chinese","English","business","leadership-and-management","41f7CjlXEeWYbg7p2_3OHQ"]
["Human Skills","Influencing","Leadership Through Social Influence","Northwestern University","Intermediate",5.5,4.5,"https://www.coursera.org/learn/leadership-socialinfluence","This course will provide learners with a systematic general framework for analyzing persuasive influence situations. Learners will be able to identify different challenges faced by persuaders and to fashion appropriate strategies for addressing those challenges. The broad goal is to provide learners with not only an extensive persuasion tool kit, but also with an understanding of how different tools are useful in different situations. Specifically, the course will address four broad topics: strategies for influencing people’s personal attitudes; strategies for affecting social factors influencing behavior; strategies for affecting people’s perceived ability to undertake the desired behavior; and strategies for inducing people to act on their existing intentions.","influencer-marketing; persuasion; resource-management; social-influence; leadership; behavior; sorting; communication; management; integration-testing","Organizational Leadership",3.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[2.5,6.8]","Korean","English","business","leadership-and-management","xx-VwD-OEeWBrBIWi3mmCw"]
["Human Skills","Influencing","Storytelling and influencing: Communicate with impact","Macquarie University","Advanced",13.1,4.7,"https://www.coursera.org/learn/communicate-with-impact","An ambitious vision for the future of your organisation isn’t enough – how do you communicate this vision to get your colleagues on board? The ability to effectively communicate and persuade others is a key leadership skill. Traditional and common-sense models of communication and persuasion often fail to capture the complex nature of ‘influencing’. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) this course will develop your capacity to communicate appropriately in different situational and cultural contexts, making you a highly influential leader.","english-language; storytelling; presentation; public-speaking; persuasion; change-management; i-deas; rapport; speech; communication","Influencing: Storytelling, Change Management and Governance",3.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[7.8,15.3]","French","English","business","leadership-and-management","SI2p26W0EeiDiw4YwP822A"]
["Human Skills","Learning","Exploring Emerging Technologies for Lifelong Learning and Success","The State University of New York","Beginner",9.5,4.49,"https://www.coursera.org/learn/emerging-technologies-lifelong-learning","This learning opportunity is an open-access resource for lifelong learning. The aim is to identify the value and implications of using established and emerging technology tools for personal and professional growth and acquire strategies to develop lifelong learning habits to keep pace with technology change.\\n\\nThis course is targeted to the needs of ALL learners, including college students, faculty, current and career-seeking professionals, and anyone from across the globe with a desire to learn how to use emerging technologies to succeed in today’s rapidly changing world.\\n\\nThis project consists of two associated parts; #EmTechMOOC and EmTechWIKI.\\n\\n#EmTechMOOC is a Massive Open Online Course, also called a MOOC. The MOOC is hosted on the Coursera platform and provides a supportive environment for dialogue and sharing among participants.\\n\\nEmTechWIKI ( http://suny.edu/emtech ) has been built to complement the MOOC. It is a socially-curated discovery engine to discover tools, tutorials, and resources. The WIKI can be used as a stand-alone resource, or it can be used together with #EmTechMOOC. Anyone is welcome to add or edit WIKI resources.\\n\\nThe MOOC learning environment is structured around 5 modules. The concepts that are covered include Lifelong Learning and the 4Cs of 21st-century skills: including Communication and Collaboration, Creativity, Critical Thinking. Participants build a personal ePortfolio to display artifacts created through Discovery Exercises to showcase accomplishments. The final module provides an opportunity to summarize and reflect on the learning journey.\\n\\nLearning activities provide accessible, curated information and application exercises pertaining to current and emerging technologies relevant to learners and professionals alike, such as audio, video, social networking, etc.\\n\\n#EmTechMOOC is not a traditional MOOC. Instead of providing content-heavy information, it relies on discovery-based learning that is under the control of the learner. You will be prompted to locate and explore new resources and tools from the growing EmTechWIKI collection to help you meet your personally identified objectives. You will then reflect on and share your learning and discoveries through your personal portfolio that you will construct throughout the modules in the course.\\n\\nComplete the MOOC requirements to earn digital badges and a Coursera Certificate of Completion. SUNY affiliates may earn a Coursera Certificate with no fees to enroll.","lifelong-learning; learning; presentation; google; creativity; critical-thinking; communication; collaboration; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,11.9]","NA","English","personal-development","personal-development","qmr_a63JEeeUJw7N6tQngg"]
["Human Skills","Learning","Introduction to Learning Transfer and Life Long Learning (3L)","University of California, Irvine","Beginner",5.6,4.5,"https://www.coursera.org/learn/intro-learning-transfer","Learn how to identify the enablers and barriers to learning transfer. Use your own experience to categorise the processes and activities involved in learning and transferring that learning into practice. There are many criteria against which the success of training and development activities can be judged. One of the most important, however, is learning transfer. Ultimately, the success of any given training and/or development program is reflected in whether or not what is learned is applied on the job. Organisations - and indeed trainees themselves - invest large amounts of time, effort, and resources in work-related training and generally expect to see this manifested in some way back in the work setting (e.g. as observable changes to how work is conducted). However, many organisations and their people view the likelihood of transfer of training more in hope than expectation. This course will show you how to approach the goal of improving learning transfer in your organisation.","training-and-development; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.8,6]","NA","English","business","business-essentials","qweFXfJJEeaASQ6Jt6TeNg"]
["Human Skills","Learning","Learning How to Learn: Powerful mental tools to help you master tough subjects","University of California San Diego","Beginner",11.8,4.8,"https://www.coursera.org/learn/learning-how-to-learn","This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.  \\n\\nUsing these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.\\n\\nThis course can be taken independent of, concurrent with, or prior to, its companion course, Mindshift. (Learning How to Learn is more learning focused, and Mindshift is more career focused.)\\n\\nTo join the fully translated Portuguese version of the course, visit: https://www.coursera.org/learn/aprender\\nTo join the fully translated Spanish version of the course, visit: https://www.coursera.org/learn/aprendiendo-a-aprender\\nTo join the fully translated Chinese version of the course, visit: https://www.coursera.org/learn/ruhe-xuexi\\nTo join the fully translated French version of the course, visit : http://www.coursera/learn/apprendre-comment-apprendre","stress; learning-how-to-learn; learning-to-learn; memory; procrastination; integration-testing; pomodoro-technique; test-preparation; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,13.7]","Chinese; Greek; French; Bengali; Ukrainian; Hungarian; Serbian; Italian; Vietnamese; Russian; Portuguese; Persian; Hebrew; Arabic; Spanish; Thai; Estonian; Romanian; Tamil; Polish; Dutch; German","English","personal-development","personal-development","GdeNrll1EeSROyIACtiVvg"]
["Human Skills","Learning","Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential","McMaster University","Beginner",13.8,4.75,"https://www.coursera.org/learn/mindshift","Mindshift is designed to help boost your career and life in today’s fast-paced learning environment. Whatever your age or stage, Mindshift teaches you essentials such as how to get the most out of online learning and MOOCs, how to seek out and work with mentors, the secrets to avoiding career ruts (and catastrophes) and general ruts in life, and insights such as the value of selective ignorance over general competence.  We’ll provide practical insights from science about how to learn and change effectively even in maturity, and we’ll build on what you already know to take your life’s learning in fantastic new directions.  This course is designed to show you how to look at what you’re learning, and your place in what’s unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You’ll see that by using certain mental tools and insights, you can learn and do more—far more—than you might have ever dreamed!\\n\\nThis course can be taken independent of, concurrent with, or subsequent to, its companion course, Learning How to Learn.  (Mindshift is more career focused, and Learning How to Learn is more learning focused.)","lifelong-learning; personal-development; confidence; learning-to-learn; career; meditation; pomodoro-technique; mindfulness; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,18.9]","Spanish; Vietnamese","English","personal-development","personal-development","XDJWC7ZqEeaa7BLnmaLUtg"]
["Human Skills","Negotiating","International and Cross-Cultural Negotiation","ESSEC Business School","Intermediate",9.0,4.6,"https://www.coursera.org/learn/international-negotiation","All of us are aware that cultural differences are significant and that they affect how we interact with others in business and in leisure activities. But what is culture exactly, and how does it impact on negotiation, in particular? \\n\\nThis course will help you to be more precise about different dimensions of culture, from one region or country to another, while helping you to avoid simplifications, clichés and stereotypes. It will also lead you to a better overall awareness of your own culture.\\n\\nIn addition the course modules will guide you to a better understanding of when and how cultural differences are likely to influence the different dimensions of a negotiation - the people, problems and processes. Armed with that understanding, your awareness, preparation and strategy will be enhanced when you are faced with negotiators from cultures and regions different from your own. Your ability to anticipate and react, your negotiation flexibility, will be improved and refined.\\n\\nThe course also gives you a concrete look at quite different national and regional negotiation styles  (we look at the French, Chinese, North American and Middle Eastern). In addition, an examination of negotiation in two multicultural settings (European Union institutions, on the one hand, and the recent COP 21 climate conference in Paris, on the other) highlights the importance of well-designed negotiation processes for getting both efficiency and fairness.","lecture; buying; cross-cultural-communication; communication; relative-change-and-difference; intercultural-communication; supervision; arbitration; negotiation; multiculturalism","Negotiation, Mediation and Conflict Resolution",2.0,"https://www.coursera.org/specializations/negotiation-mediation-conflict-resolution","This specialization is intended for managers - from business, public administration, international organizations or NGOs - who want to go beyond intuition and acquire proven tools to help them achieve greater success in negotiation.\\n\\nYou will learn the negotiation fundamental skills and tools thanks to the first Course.\\n\\nWith the second course you we will enable you to develop better cross-cultural anticipation and flexibility when you face a negotiation - both key skills in an international environment.\\n\\nWith the third course you will be able to choose and lead a mediation process. You’ll gain a deeper understanding of workplace and international conflict resolution.\\n\\nAt the end of this specialization a capstone project will be the opportunity to apply your new knowledge and skills with practical cases.","[5.2,12.2]","Arabic","English","business","leadership-and-management","N7hNkxv9EealIRJP087Tdw"]
["Human Skills","Negotiating","Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator","Yale University","Beginner",26.8,4.81,"https://www.coursera.org/learn/negotiation","This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.\\n\\nIn this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain. Enjoy.","principled-negotiation; communication; collaboration; strategic-thinking; strategic-negotiations; integration-testing; game-theory; added-value; cooperation; negotiation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,34.3]","Arabic","English","business","business-essentials","tGbJuel4EeSnMSIACzuFJw"]
["Human Skills","Negotiating","Negotiation skills: Negotiate and resolve conflict","Macquarie University","Beginner",14.4,5.0,"https://www.coursera.org/learn/negotiation-skills-conflict","Modern organisations are characterised by increasingly higher levels of uncertainty, complexity and diversity. In our current globalised work environment, how can you manage the power and politics that persistently influence organisational decision-making? Being savvy about organisational politics and having the nous to negotiate and resolve conflict is a critical capability for managers at all levels. This course will develop your negotiation and conflict resolution skills – crucial to becoming a positive influence in your organisation. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will conceptualise and measure power and politics; analyse and develop strategies for influencing stakeholders; and learn how to act with integrity and purpose when ‘playing politics’.","business-transformation; organization-development; corporate-governance; conflict-resolution; change-management; process-capability; communications-management; risk-management; negotiation","Influencing: Storytelling, Change Management and Governance",2.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","[8,17.7]","NA","English","business","business-essentials","Svw7kKXDEeiuigqo2O4RrA"]
["Human Skills","Negotiating","Successful Negotiation: Essential Strategies and Skills","University of Michigan","Intermediate",14.2,4.7,"https://www.coursera.org/learn/negotiation-skills","We all negotiate on a daily basis. On a personal level, we negotiate with friends, family, landlords, car sellers and employers, among others. Negotiation is also the key to business success. No business can survive without profitable contracts. Within a company, negotiation skills can lead to your career advancement. \\n\\nI hope that you will join the hundreds of thousands of learners who have made “Successful Negotiation” one of the most popular and highly-rated MOOCs worldwide.  In the course, you’ll learn about and practice the four steps to a successful negotiation: \\n\\n   (1) Prepare: Plan Your Negotiation Strategy \\n\\n   (2) Negotiate: Use Key Tactics for Success \\n\\n   (3) Close: Create a Contract \\n\\n   (4) Perform and Evaluate: The End Game \\n\\nTo successfully complete this course and improve your ability to negotiate, you’ll need to do the following: \\n\\n(1) Watch the short videos (ranging from 5 to 20 minutes). The videos are interactive and they include questions to test your understanding of negotiation strategy and skills. You can speed up or slow down videos to match your preferred pace for listening. Depending on your schedule, you can watch the videos over a few weeks or you can binge watch them. A learner who binge-watched the course concluded that “It’s as good as Breaking Bad.” Another learner compared the course to “House of Cards.”  Both shows contain interesting examples of complex negotiations!\\n\\n(2) Test your negotiation skills by completing the negotiation in Module 6. You can negotiate with a local friend or use Discussions to find a partner from another part of the world. Your negotiation partner will give you feedback on your negotiation skills. To assist you with your negotiations, I have developed several free negotiating planning tools that are related to the course.  These tools and a free app are available at http://negotiationplanner.com/ \\n\\n(3) Take the final exam. To successfully complete the course, you must answer 80% of the questions correctly. The exam is a Mastery Exam, which means that you can take it as many times as you want until you master the material. \\n\\nCourse Certificate\\nYou have the option of earning a Course Certificate.  A Certificate provides formal recognition of your achievements in the course and includes the University of Michigan logo.   Learn more about Certificates at: https://learner.coursera.help/hc/en-us/articles/209819053-Get-a-Course-Certificate\\n \\nThis course is also available in Spanish and Portuguese. To join the fully translated Spanish version, visit this page: https://www.coursera.org/learn/negociacion/ \\n\\nTo join the fully translated Portuguese version, visit this page: https://www.coursera.org/learn/negociacao\\nSubtitles for the videos are available in English, Ukrainian, Chinese (Simplified), Portuguese (Brazilian), Spanish\\n\\n\\nCreated by:  University of Michigan\\n\\nThe course logo composite is shared with a Creative Commons CC BY-SA (https://creativecommons.org/licenses/by-sa/2.0/) license, and was created using images provided courtesy of Flazingo Photos (http://bit.ly/1zOylRm) and K2 Space (https://www.flickr.com/photos/k2space/14257556613/in/set-72157644732478432).","strategic-negotiations; contract-negotiation; sales; negotiation; law; decision-tree; decision-making; communication; decision-theory; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.1,18.9]","Vietnamese; Portuguese; Ukrainian; Spanish; Chinese; Russian","English","business","business-essentials","v0l76HmGEeSi3yIACzSGcw"]
["Human Skills","Problem Solving","Analysis of Business Problems","IESE Business School","Beginner",11.4,4.57,"https://www.coursera.org/learn/analysis-business-problem-iese","When does an opportunity to increase the bottom line become a liability for long-term brand sustainability and profitability? That is the question that GAS GAS, an off-road motorcycle manufacturer, is confronting. \\n\\nIn this culminating course, it’s time to use the business tools you have learned throughout the specialization to solve this real business problem. To help you as you develop a solution to the GAS GAS dilemma, in the Capstone you will also learn a six-step analysis of business problems methodology. By the end of the course, you will understand how to weave together considerations from accounting, finance, marketing and organizational behavior in order to arrive at a sound decision that will positively impact the firm’s future.","management-accounting; marketing; analysis; finance; strategic-analysis; at-will-employment","Foundations of Management",5.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[6.7,14.8]","NA","English","business","marketing","5wgFCY7CEeWzARIeC3uC5w"]
["Human Skills","Problem Solving","Evaluating Problems","Macquarie University","Beginner",26.1,4.78,"https://www.coursera.org/learn/evaluating-problems","The second course of the specialization EVALUATING PROBLEMS will show you how humans think and how to utilize different disciplinary approaches to tackle problems more effectively.  It advances your knowledge of your own field by teaching you to look at it in new ways. \\n\\nEVALUATING PROBLEMS is constructed in the following way: Week I. “Thinking about Thinking” – How problem solving evolved in nature, how the mechanics of our brains work, and the psychological biases that can emerge when we think. Week II. “Philosophy, Science, and Problem Solving” – How humans have historically approached problem solving, from ancient times to the present. Week III. “Approaching Problems in the Natural Sciences” – How people in the natural sciences deconstruct problems. Week IV. “Statistics and Problem Solving” – How statistics can be used to evaluate problems and think critically. Week V. “Approaching Problems in the Humanities” – How people in the social sciences and humanities deconstruct problems. Week VI. “Evaluating the Anthropocene” – How to evaluate the problems of the Anthropocene.","philosophy; probability; logic; systems-thinking; evaluation; scientific-method; inductive-reasoning; hypothesis; statistics; integration-testing","Solving Complex Problems",2.0,"https://www.coursera.org/specializations/solving-complex-problems","SOLVING COMPLEX PROBLEMS will teach you revolutionary new problem-solving skills. Involving lectures from over 50 experts from all faculties at Macquarie University, we look at solving complex problems in a way that has never been done before.\\n\\nThis specialization uses the framework of Big History which synthesizes knowledge across the sciences and the humanities, and provides a powerful foundation to think and research in new ways. Big History has been embraced as an important global framework by the World Economic Forum (WEF). Presentations at WEF by Professor David Christian, one of the creators of this specialization, have included ‘Interdisciplinary Approaches to Solving 21st Century Challenges’ (Davos 2012), ‘Big History for Big Picture Thinking’ (Davos 2014), and ‘Big History, Big Decisions’ (Tianjin 2014). In 2015, the WEF Annual Meeting in Davos had four sessions devoted to Big History including three interdisciplinary ‘Big History, Big Future’ panels on cooperation, innovation, and global growth and stability. These interdisciplinary discussion panels were the inspiration for this Solving Complex Problems Specialization.","[7.4,38.7]","NA","English","business","leadership-and-management","dTCK9ETfEeaDRhLb8lAaNw"]
["Human Skills","Problem Solving","Creativity Toolkit I: Changing Perspectives","University of Illinois at Urbana-Champaign","Intermediate",15.4,4.7,"https://www.coursera.org/learn/creativity-toolkit-1","Thinking and doing the same things faster and better is not enough; we need creativity. Fortunately, creativity is a skill you can learn. This course will examine when, why, and how we can be creative. It examines the cues that trigger us to consider being creative. It provides a road map of the creative process – the process of changing our perspectives – and the kinds of outcomes that result from creativity. It examines how we can go through the creative process more efficiently and more effectively by examining what is changing about our thinking and how we can make those changes. The end result is more flexible thinking that can be used to recognize and develop new opportunities.","creativity; strategic-planning; process; mind-map; uncertainty; learning; innovation; creative-writing; entrepreneurship; integration-testing","Innovation: From Creativity to Entrepreneurship",3.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","[6.4,25.2]","Arabic","English","business","entrepreneurship","gjwSt8CPEea6Aw7w3S-LDA"]
["Human Skills","Problem Solving","Design Thinking for Innovation","University of Virginia","Beginner",9.1,4.59,"https://www.coursera.org/learn/uva-darden-design-thinking-innovation","Today innovation is everyone's business. Whether you are a manager in a global corporation, an entrepreneur starting up, in a government role, or a teacher in an elementary school, everyone is expected to get lean – to do better with less. And that is why we all need design thinking. At every level in every kind of organization, design thinking provides the tools you need to become an innovative thinker and uncover creative opportunities that are there – you're just not seeing them yet.\\n\\nIn this course, we provide an overview of design thinking and work with a model containing four key questions and several tools to help you understand design thinking as a problem solving approach. We also look at several stories from different organizations that used design thinking to uncover compelling solutions.","management; process; design-thinking; strategic-thinking; mind-map; innovation; innovation-management; design-management; mapping; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,10.5]","Arabic; Spanish; Korean; Vietnamese","English","business","business-strategy","opCIcU3SEeWeiwqPB940Pw"]
["Human Skills","Resilience","Build personal resilience","Macquarie University","Beginner",12.0,4.9,"https://www.coursera.org/learn/build-personal-resilience","Globalisation and advances in information and communication technology have resulted in a 24/7 work environment characterised by rapid change, a greater sense of competition, and an explosion in access to communication and information. These pressures compound stress related to workload and information processing – this not only reduces performance but can lead to a reduced sense of meaning and purpose as well as physical and mental health issues. Understanding stress and how to boost your resilience to it are essential skills for contemporary leaders and play a vital role in managing the demands you face at work. This course will focus on the nature of stressors facing leaders in today’s work environments and how to deal with them. You’ll explore personal resilience – your capacity to withstand and cope with stress – and strategies for self-management, motivation and organisation. You’ll also learn how resilience is impacted by health and social relationships.","stress-management; personality-test; mental-health; career-development; sources; stress; personal-advertisement; management","Adapting: Career Development",1.0,"https://www.coursera.org/specializations/adapting-career-development","Organisations are undergoing enormous changes in their structures and processes as they seek to take advantage of innovations in technology, remain competitive in Globalising markets, and deal with the increasing diversity of their staff, customers, and supply chains. The four subjects in this specialisation will examine the personal implications of the changing organisational environment - the need to continuously adapt and learn, to manage your career, to build up resilience against stress, and to take your place as a global citizen.\\n\\nThe aim is to enable you to thrive in working in contemporary organsations. 'Improve yourself Always' addresses the need for you to continuously develop and seeks to improve your capacity to learn and adapt. 'Build Personal Resilience' helps you enhance your resilience in the face of the pressures you will experience in working in contemporary organisations. 'Your Career Your Life' guides you in taking more responsibility for mapping out and engaging in your career. 'Become a Global Citizen' discusses the need to see yourself as a citizen of the increasingly global world of work and provides insight into the strategies to deal with cultural diversity.","[7.7,14]","NA","English","business","leadership-and-management","HmixIaXTEeiL8hKwqznX5g"]
["Human Skills","Resilience","Giving Sense to Your Leadership Experience","HEC Paris","Intermediate",17.0,4.46,"https://www.coursera.org/learn/leading-sense","With this course you will position your own leadership style and grow your resilience\\n\\nIn this course, second course of the \"Inspirational Leadership\" Specialization, you will discover the characteristics of charismatic leadership. \\nYou’ll personally learn how to embody these traits through the “Savoir-Relier” (art of connecting and leading with sense) methodology, which covers 3Gs: being Genuine, Generous, and Generative. \\nYou will then choose which style of leadership best fits you, why and when so you can adapt to more complex and difficult situations with resilience. \\nIn a “Self-Portrait” and “Conversation” with your classmates, you will be able to adjust your own ideas about your leadership styles and strengths, allowing you to increase your self-awareness, improve your relational intelligence, and prepare you to confront crises and resolve conflicts. \\nYou will also be better prepared to face difficult situations and make better decisions by relying on both your perception and analytical skills. All these skills will help you create sense in your team so you can lead it better.\\n\\nThis course is part of a Specialization on Leadership called “Inspirational Leadership: Leading with Sense”, so you may want to take the course “Building Your Leadership Skills” prior of taking this course.\\nAs where in course 1 “Building Your Leadership Skills” you have mostly worked on your inner-self and on the relation between you and the other, in this course you’ll work on the relationship between you and the group, improving your leadership skills when interacting in a team. \\n\\nLeaders from different organizations and participants of the HEC Paris Leadership Certificate, the program from which this course and specialization is inspired, will share with you their insights about what it takes to become a great leader in a group or team and what they are able to achieve now that they apply The Savoir-Relier methodology.","listening; resource; resource-management; leadership; human-resource-management; self-awareness; communication; human-resources; management; integration-testing","Inspirational Leadership: Leading with Sense",2.0,"https://www.coursera.org/specializations/inspirational-leadership","This Specialization will help you switch from a top-down leadership, with the emphasis on authority, to an open leadership based on trust and sense.\\n\\nThis new approach of leadership, taught to HEC MBA’s student and top executives, encourages relationships between people in spite of their differences of opinion and enables better team leadership.\\n\\nThe Savoir-Relier protocol is based on more than 25 years of research and practice. It has been implemented with positive impact on individual and teams in companies like Apple, L'Oréal, LVMH, Sanofi or Pernod Ricard for example.\\n\\nJust as them, as an executive, manager or individual, you will practice the Savoir-Relier method and discover that when done with courage, empathy, humility and resilience, it stimulates creative initiatives, and creates meaning to foster action and results. It will help you to overcome difficult situations with resilience and navigate complex systems.\\n\\nYou will explore your own leadership style through conversations with your peers, and acquire the necessary self-confidence to make good decisions based on the opinions and ideas of others, even if they are contradictory\\n\\nYou will also hear perspectives on leadership from outstanding leaders such as an Olympic athlete, business executives, and other distinguished guest speakers.\\n\\nIn the final Capstone Project, you will apply the skills you have grown and the models you have learned to address and overcome a personal leadership challenge.","[11.4,21.5]","French; Vietnamese","English","business","leadership-and-management","mt1WfTaSEeWWBQrVFXqd1w"]
["Human Skills","Resilience","Leading Positive Change through Appreciative Inquiry","Case Western Reserve University","Advanced",18.4,4.74,"https://www.coursera.org/learn/appreciative-inquiry","Appreciative Inquiry is a collaborative and constructive inquiry process that searches for everything that gives life to organizations, communities, and larger human systems when they are most alive, effective, creative and healthy in their interconnected ecology of relationships. To appreciate, quite simply, means to value and to recognize that which has value—it is a way of knowing and valuing the best in life. In the language of Positive Organizational Scholarship it means a research focus—a positive bias—seeking fresh understanding of dynamics described by words like excellence, thriving, abundance, resilience, or exceptional and life-giving. \\n\\nIn this context the word appreciate means to value those things of value—it is a mode of knowing often connected to the idea of esthetic appreciation in the arts. To appreciate also means to be grateful or thankful for—it is a way of being and maintaining a positive stance along the path of life's journey. And not incidentally, to appreciate is to increase in value too. Combining the three—appreciation as a way of knowing, as a way of being and as an increase in value– suggests that Appreciative Inquiry is simultaneously a life-centric form of study and a constructive mode of practice.  As a form of study, Appreciative Inquiry focuses on searching systematically for those capacities and processes that give life and strength and possibility to a living system; and as a constructive mode of practice, it aims at designing and crafting human organizations through a process in which valuing and creating are viewed as one, and where inquiry and change are powerfully related and understood as a seamless and integral whole \\n\\nLeading Positive Change through Appreciative Inquiry is a course dedicated to advancing our understanding and skill in leading strength-based change and on how to create, foster and manage organizations in which people thrive and perform at their best.","appreciative-inquiry; communication; psychologies; change-management; facilitation; inquiry; positive-psychology; psychology; management; integration-testing","Inspired Leadership",4.0,"https://www.coursera.org/specializations/inspired-leadership","In this specialization you will learn how to overcome the ravages of chronic stress and renew your body and mind by building better relationships and positive approaches to leadership. You will learn the power of asking questions to become a more inclusive and self-confident leader, and how to effectively coach others toward sustained, desired change, learning or increased motivation in life and work.","[11.8,24.5]","NA","English","business","leadership-and-management","6OW7QJ3WEeWILQ7D3uPEMw"]
["Human Skills","Resilience","Leading Organizations","HEC Paris","Intermediate",17.6,4.61,"https://www.coursera.org/learn/leading-organizations","This course is the last course of the a Specialization on Leadership called “Inspirational Leadership: Leading with Sense”, so you may want to take the courses “Building Your Leadership Skills” and “Giving Sense to your Leadership Experience” prior of taking this course.\\n\\nIn this course you’ll get the opportunity to apply the skills learned in the first two courses of the “Inspirational Leadership: Leading with Sense” as an individual to a group setting. The group could not only be an organization such as a company or a team in a company, but also a private group such as your family or an association. \\n\\nSpecifically, you’ll apply the 4 steps of The Savoir-Relier protocol to your group: \\n1. defining the group identity by working on the group self-awareness, \\n2. creating quality relationships within the group, \\n3. working on resilience for the group to then be able to overcome difficult situation and \\n4. Making the organization grow by creating sense and meaning.\\n\\nSo if you want your group to grow as a successful leader in its fields, if you want to find your identity as a group and create shared values for it, or if you want your group to become more resilient in face of change and crisis, this course is made for you! Finally, at the end of the course, you would have build sense for your group in order to be more efficient.\\n\\nUsing real-life cases you will see how the genuine, generous and generative characteristics apply to the development of successful organizations. For example, you will apply the Relational Circuit to recruit effectively, or the Self-Portrait and Conversation exercises to create team cohesion and resilience to overcome crises and interpersonal conflicts. You will be able to form trustworthy relationships in spite of diverging or different views, and you will grow respect in your environment where sense will be a driver for you and your surrounding.\\n\\nLeaders from different organizations, will share with you their insights about how they have applied the Savoir-Relier approach to their company and how it has made the company more resilience and competitive.","management; strategic-leadership; motivation; leadership; communications-management; team-management; purchasing; strategic-hr-leadership; communication; innovation","Inspirational Leadership: Leading with Sense",3.0,"https://www.coursera.org/specializations/inspirational-leadership","This Specialization will help you switch from a top-down leadership, with the emphasis on authority, to an open leadership based on trust and sense.\\n\\nThis new approach of leadership, taught to HEC MBA’s student and top executives, encourages relationships between people in spite of their differences of opinion and enables better team leadership.\\n\\nThe Savoir-Relier protocol is based on more than 25 years of research and practice. It has been implemented with positive impact on individual and teams in companies like Apple, L'Oréal, LVMH, Sanofi or Pernod Ricard for example.\\n\\nJust as them, as an executive, manager or individual, you will practice the Savoir-Relier method and discover that when done with courage, empathy, humility and resilience, it stimulates creative initiatives, and creates meaning to foster action and results. It will help you to overcome difficult situations with resilience and navigate complex systems.\\n\\nYou will explore your own leadership style through conversations with your peers, and acquire the necessary self-confidence to make good decisions based on the opinions and ideas of others, even if they are contradictory\\n\\nYou will also hear perspectives on leadership from outstanding leaders such as an Olympic athlete, business executives, and other distinguished guest speakers.\\n\\nIn the final Capstone Project, you will apply the skills you have grown and the models you have learned to address and overcome a personal leadership challenge.","[11.4,25.9]","French","English","business","leadership-and-management","VyHnEjaTEeWfzhKP8GtZlQ"]
["Human Skills","Teamwork","High Performance Collaboration: Leadership, Teamwork, and Negotiation","Northwestern University","Beginner",20.2,4.76,"https://www.coursera.org/learn/leadership-collaboration","Are leaders born or made?  Learn the essential skills to develop and expand your leadership repertoire,  design teams for collaboration, and craft win-win negotiation strategies. High Performance Collaboration: Leadership, Teamwork, and Negotiation focuses on leadership, teamwork, and negotiation. Students will engage in self-assessments to analyze their leadership style, develop team charters to optimize their groups, and develop a game plan for effective negotiation.\\n\\nRecurring course sessions repeat every 2 weeks on Monday with an enrollment period of 5 days.","negotiation; emotional-intelligence; collaboration; team-management; leadership-development; management; communication; leadership; strategic-leadership; team-building","Organizational Leadership",1.0,"https://www.coursera.org/specializations/organizational-leadership","Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact.\\n\\nHow do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action? This specialization equips aspiring managers to lead change and leverage different roles and functions within for-profit institutions to create lasting value in the marketplace. Throughout the five courses, we will explore how great leaders assess themselves and lead collaborative teams that effectively manage negotiations and conflict. We will discover how leaders communicate through storytelling and employ other communication strategies to influence. Furthermore, we will learn how organizations start with the clarity of purpose that comes from an understanding of customers’ needs, including leveraging data analytics, and use that focus to drive the design of products and services to meet those needs effectively. At the end of the coursework, students will create a capstone project that allows them to apply what they have learned.\\n\\nEach of the individual courses can be audited for free: 1-High Performance Collaboration: Leadership, Teamwork, and Negotiation, 2-Leadership Communication for Maximum Impact: Storytelling, 3-Leadership Through Social Influence, 4-Leadership Through Marketing, 5-Leadership Through Design Innovation.","[8.8,32.1]","Vietnamese; Arabic","English","business","leadership-and-management","g2OnMD-OEeWZtA4u62x6lQ"]
["Human Skills","Teamwork","Teamwork Skills: Communicating Effectively in Groups","University of Colorado Boulder","Intermediate",15.3,4.79,"https://www.coursera.org/learn/teamwork-skills-effective-communication","Effective teamwork and group communication are essential for your professional and personal success.  In this course you will learn to: make better decisions, be more creative and innovative, manage conflict and work with difficult group members, negotiate for preferred outcomes, improve group communication in virtual environments, develop a better overall understanding of human interaction, and work more effectively as a team.  Our goal is to help you understand these important dynamics of group communication and learn how to put them into practice to improve your overall teamwork.","leadership; communication-in-small-groups; trapping; social-skills; decision-making; modeling; models-of-communication; group-development; communication; negotiation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.9,20]","Arabic","English","business","leadership-and-management","IrvLQAqFEeeBuxL5UjD8lg"]
["Human Skills","Teamwork","Personal Leadership Development Planning and Leading High Performing Teams","Rice University","Intermediate",19.2,4.58,"https://www.coursera.org/learn/leadership-development-planning","An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.","motivation; performance; project; leadership; smart-criteria; plan; leadership-development; writing; project-team; personal-advertisement","Leadership Development for Engineers",3.0,"https://www.coursera.org/specializations/leadership-development-engineers","Engineers wanting to advance their careers must be able to lead teams effectively.\\n\\nThis Specialization is designed for professional engineers who are interested in advancing into leadership and management roles. You’ll develop awareness of your own strengths and weaknesses as a leader, and you’ll learn to leverage your strengths and control for your weaknesses when you’re placed in charge of a team or project. You’ll also learn to manage relationships with your team members and colleagues through proven coaching, mentoring, and conflict resolution techniques, and you’ll master goal-setting and planning methods designed to set you and your team up for success. Finally, you’ll learn how to set up a creative environment for your team, and how to motivate each team member to reach his or her potential.","[7.5,33.8]","NA","English","business","leadership-and-management","A5jeDWhuEeak0hLPfPzoPw"]
["Human Skills","Teamwork","Diversity and inclusion in the workplace","ESSEC Business School","Beginner",11.7,4.64,"https://www.coursera.org/learn/diversity-inclusion-workplace","Diversity is a fact. It is also paradoxical. We need to be capable of seeing and hearing differences in order to reap the benefits of diversity. But seeing and hearing differences hone our discriminating reflexes and can also lead to discrimination. If you take this MOOC, you will: 1. understand this paradox, 2. understand its dynamics, and 3. identify ways to manage it, so that you can better channel the diversity potential in the workplace for greater performance and innovation.","human-resources; ethics; discrimination; relative-change-and-difference; want; corporate-social-responsibility; cognitive-bias; diversity-business; bias; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.9,13.8]","NA","English","business","leadership-and-management","hSmpCOROEeWr4g7T_DyXNw"]
["Human Skills","Teamwork","Leading Teams","University of Michigan","Intermediate",13.7,4.71,"https://www.coursera.org/learn/leading-teams","In this course, you will learn how to build your team, improve teamwork and collaboration, and sustain team performance through continuous learning and improvement. Specifically, you will learn best practices for composing a team and aligning individual and team goals. You will also learn how to establish roles, build structures, and manage decision making so that your team excels. This course will also help you manage critical team processes such as conflict resolution and building trust that have a profound impact on your team’s performance. You will discuss some of the best ways to harness the productive potential of teams while mitigating the risks and traps of teamwork.\\n\\nIn modern organization, most of work is done in teams, yet the results of teamwork are exceptionally mixed. Many teams are poorly designed and structured, fraught with dysfunctional conflict, experience coordination breakdowns and serious motivation challenges. As a result, many teams fail to realize their potential and frequently underperform even individuals working on similar tasks. After completing this course, you will acquire a set of tools and practices that enable you to effectively set up, run, evaluate, and continuously improve your team. Such insights will both make you a more effective team leader but also a standout contributor in team settings.","team-management; performance; collaboration; leadership-dynamics; communication; team-building; team-leader; leadership; management; integration-testing","Leading People and Teams",4.0,"https://www.coursera.org/specializations/leading-teams","In this specialization, you will learn essential leadership skills, including how to inspire and motivate individuals, manage talent, influence without authority, and lead teams. In this specialization, you will not only learn from Michigan faculty. You will also learn directly from exceptional leaders including Jeff Brodsky, Global Head of HR for Morgan Stanley, and John Beilein, Head Coach of the University of Michigan Men’s Basketball Team. We will share with you our research on how to lead people and teams effectively, and work with you to apply these insights to your own teams and leadership. In every course, you will have an opportunity to apply new leadership skills by working through a series of practical leadership assignments. In addition, the capstone will enable you to work on live leadership challenges faced by senior leaders from premier Fortune 500 firms and receive their feedback on your ideas and solutions.\\n\\nTop students completing the Specialization will be eligible to receive one or more of the following: office hours with your faculty, one credit toward Michigan Ross’ Distinguished Leader certificate, a waived application fee to Michigan Ross graduate programs, or a LinkedIn recommendation/endorsement by Ross faculty.","[8.7,17.7]","Arabic; Vietnamese","English","business","leadership-and-management","QUoNRDlaEeWXuQopUhAqaw"]

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["Industries Menu",null,null,null,"Back to summary page"]
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[null,1.0,null,"Professional Services","1. Prof"]
[null,null,2.0,"Financial Services","2. FS"]
[null,null,3.0,"Technology","3. TE"]
[null,null,4.0,"Telecommunications & Media","4. TM"]
[null,null,5.0,"Energy & Utilities","5. EU"]
[null,null,6.0,"Heathcare and Life Sciences","6. HL"]
[null,null,7.0,"Manufacturing","7. MA"]
[null,null,8.0,"Public Sector","8. Pub"]
[null,null,9.0,"Transport & Logistics","9. TL"]
[null,null,10.0,"Retail & Consumer","10. RE"]
[null,null,11.0,"Law","11. LA"]
[null,null,12.0,"Defense","12. DE"]

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["Professional Services","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Agile Software Development","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.54,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","management; agile software development; software development; product (business); software product management; product; finger protocol; agile manifesto; software; product management","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","2.9 - 7.3","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["1. Literacy","Product Marketing","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product (business); agile management; Planning; lean startup; product/market fit; product management; product planning; product strategy; product","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.2 - 21.3","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["1. Literacy","User Experience","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.49,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","experience; interfaces; user research; user interface; experience design; usability; user experience design; user experience; java annotation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","4.2 - 8.2","French; Chinese; Spanish","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["1. Literacy","Continuous Delivery","Continuous Delivery & DevOps","University of Virginia","Beginner",10.7,4.6,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","microservices; continuous integration; test automation; devops; continuous delivery; continuous testing; software testing; unit testing; integration testing; software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","6.3 - 14.3","NA","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["1. Literacy","Big Data","Introduction to Big Data","University of California San Diego","Beginner",17.2,4.54,"https://www.coursera.org/learn/big-data-introduction","Interested in increasing your knowledge of the Big Data landscape?  This course is for those new to data science and interested in understanding why the Big Data Era has come to be.  It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.  It is for those who want to start thinking about how Big Data might be useful in their business or career.  It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!\\n\\nAt the end of this course, you will be able to:\\n\\n* Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. \\n\\n* Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.\\n\\n* Get value out of Big Data by using a 5-step process to structure your analysis. \\n\\n* Identify what are and what are not big data problems and be able to recast big data problems as data science questions.\\n\\n* Provide an explanation of the architectural components and programming models used for scalable big data analysis.\\n\\n* Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.\\n\\n* Install and run a program using Hadoop!\\n\\nThis course is for those new to data science.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  \\n\\nHardware Requirements:\\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.  \\n\\nSoftware Requirements:\\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","apache hadoop; big data analytics; data segment; data analysis; mapreduce; analytics; big data; data uri scheme; cloudera; integration testing","Big Data",1.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","9.9 - 26.1","Hindi; Korean; Persian; Arabic","English","data-science","data-analysis","6nKPTBHoEea7axIlQHzY1Q"]
["1. Literacy","Front-End Web Development","Introduction to Web Development","University of California, Davis","Beginner",14.9,4.62,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","css code; javascript; web application; web development; CSS; HTML5; Style Sheets; web; html; web design","Non Specialization","Non Specialization","Non Specialization","Non Specialization","6 - 21.1","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["2. Upskill","Data Analysis Software","Data Analysis and Reporting in SAS Visual Analytics","SAS","Advanced",9.0,4.87,"https://www.coursera.org/learn/data-analysis-reporting-sas-va","In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.","analysis; business analytics; data analysis; sas language; geometric data structures; graphs; uml tools; path (variable); need; source document","SAS Visual Business Analytics",2.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","3.9 - 12.3","NA","English","data-science","data-analysis","EVBf7e-bEemjIRKsAX_xWg"]
["2. Upskill","Data Analysis Software","Mastering Data Analysis in Excel","Duke University","Beginner",28.8,4.18,"https://www.coursera.org/learn/analytics-excel","Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality.\\n\\nThis course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model.\\n\\nThe second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression.\\n\\nAll the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1).\\n\\nThe course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel.","linearity; statistics; linear regression; data uri scheme; statistical classification; data analysis; analysis; microsoft excel; binary classification; modeling","Excel to MySQL: Analytic Techniques for Business",2.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","18.1 - 36.2","NA","English","data-science","data-analysis","SpO4HBnoEeWjrA6seF25aw"]
["2. Upskill","Data Analysis Software","Exploratory Data Analysis with MATLAB","MathWorks","Intermediate",25.9,4.84,"https://www.coursera.org/learn/exploratory-data-analysis-matlab","In this course, you will learn to think like a data scientist and ask questions of your data.  You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use  MATLAB to automatically generate code so you can learn syntax as you explore.  You will also use interactive documents, called live scripts,  to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.\\n\\nThese skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). \\n\\nBy the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data.  You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time.","analysis of variance; algorithms; analysis; matrices; live cd; geographic information system; curve fitting; matlab; image processing; evaluation","Practical Data Science with MATLAB",1.0,"https://www.coursera.org/specializations/practical-data-science-matlab","Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?\\n\\nCompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.\\n\\nThis specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).\\n\\nThroughout this specialization, you will be using MATLAB. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. You will be provided with free access to MATLAB for the duration of the specialization to complete your work.","17.2 - 31.3","NA","English","data-science","data-analysis","oPaAXFvdEemmqxJnu16Qrg"]
["2. Upskill","Data Model","Excel Skills for Business: Intermediate II","Macquarie University","Advanced",24.3,4.81,"https://www.coursera.org/learn/excel-intermediate-2","Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer. When you have successfully completed the course you will be able to\\n\\nCheck for and prevent errors in spreadsheets; \\nCreate powerful automation in spreadsheets; \\nApply advanced formulas and conditional logic to help make informed business decisions; and\\nCreate spreadsheets that help forecast and model data. \\n\\nOnce again, we have brought together a great teaching team that will be with you every step of the way. Nicky, Prashan and myself will guide you through each week. As we are exploring these more advanced topics, we are following Alex who is an Excel consultant called in by businesses that experience issues with their spreadsheets.","macro (computer science); data uri scheme; lookup table; microsoft excel macro; solver; data segment; memoization; data validation; data model; microsoft excel","Excel Skills for Business",3.0,"https://www.coursera.org/specializations/excel","This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others.\\n\\nIn this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.","15.6 - 30.3","Arabic; Vietnamese","English","business","business-essentials","6nq-wk_kEeepwQ7R5mPDbg"]
["2. Upskill","Software Visualization","Data Visualization and Communication with Tableau","Duke University","Intermediate",25.9,4.6,"https://www.coursera.org/learn/analytics-tableau","One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member.  Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand.  \\n\\nIn this course you will learn how to become a master at communicating business-relevant implications of data analyses.  By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world.  Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.","data segment; data virtualization; data uri scheme; presentation; data analysis; software; analytics; data visualization; analysis; tableau software","Excel to MySQL: Analytic Techniques for Business",3.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","18.2 - 30.8","NA","English","data-science","data-analysis","QoJxNRnoEeW9dA4X94-nLQ"]
["2. Upskill","Software Visualization","Fundamentals of Visualization with Tableau","University of California, Davis","Beginner",9.7,4.41,"https://www.coursera.org/learn/data-visualization-tableau","In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth.  No prior technical or analytical background is required.  The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context,  setting the stage for you to advance to the next course in the Specialization.","analysis; data visualization; data virtualization; software; visualization (computer graphics); data segment; data uri scheme; tableau software; graphics; storyboarding","Data Visualization with Tableau",1.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","6.5 - 11.5","NA","English","data-science","data-analysis","VuRXs3EiEeWrAxJQXw-8PQ"]
["2. Upskill","Software Visualization","Essential Design Principles for Tableau","University of California, Davis","Beginner",13.9,4.4,"https://www.coursera.org/learn/dataviz-design","In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. You will apply effective best practice design principles to your data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements. You will evaluate pre-attentive attributes and why they are important in visualizations. You will exam the importance of using the \"right\" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.","chart; software; constant (computer programming); method of analytic tableaux; data visualization; control chart; principle; best practice; exploratory data analysis; tableau software","Data Visualization with Tableau",2.0,"https://www.coursera.org/specializations/data-visualization","In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.\\n\\nThis Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.\\n\\nBy the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.","9.2 - 16.1","NA","English","data-science","data-analysis","f6s8aXQ3EeWIfhKr_WcYsQ"]
["2. Upskill","Basic Descriptive Statistics","Exploring and Producing Data for Business Decision Making","University of Illinois at Urbana-Champaign","Beginner",22.1,4.77,"https://www.coursera.org/learn/business-data","This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.\\n\\nWhile you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tSummarize large data sets in graphical, tabular, and numerical forms.\\n•\\tUnderstand the significance of proper sampling and why you can rely on sample information.\\n•\\tUnderstand why normal distribution can be used in so many settings.\\n•\\tUse sample information to infer about the population with a certain level of confidence about the accuracy of the estimations.\\n•\\tUse Excel for statistical analysis.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","analysis; confidence; business statistics; percentile; pie chart; statistics; data analysis; decision-making; statistical analysis; frequency distribution","Managerial Economics and Business Analysis",5.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","13.8 - 25.5","Korean; Arabic","English","business","business-essentials","EeyElZz9EeWoKRLkmmHLTQ"]
["2. Upskill","Basic Descriptive Statistics","Probability and Statistics: To p or not to p?","University of London","Beginner",20.1,4.49,"https://www.coursera.org/learn/probability-statistics","We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes.  Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events.\\n\\nTo study, or not to study?  To invest, or not to invest?  To marry, or not to marry?\\n\\nWhile uncertainty makes decision-making difficult, it does at least make life exciting!  If the entire future was known in advance, there would never be an element of surprise.  Whether a good future or a bad future, it would be a known future.\\n\\nIn this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.\\n\\nKey topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.","hypothesis testing; statistics; statistical inference; inference; Scientific Writing; probability; statistical hypothesis testing; hypothesis; probability and statistics; uncertainty","Non Specialization","Non Specialization","Non Specialization","Non Specialization","10.6 - 29.1","NA","English","data-science","probability-and-statistics","b_ubIzckEeeeFwoohRNaig"]
["2. Upskill","Basic Descriptive Statistics","Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions","Rice University","Beginner",11.3,4.73,"https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application","The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.\\n\\nTo successfully complete course assignments, students must have access to Microsoft Excel. \\n________________________________________\\nWEEK 1\\nModule 1: Basic Data Descriptors\\nIn this module you will get to understand, calculate and interpret various descriptive or summary measures of data. These descriptive measures summarize and present data using a few numbers. Appropriate Excel functions to do these calculations are introduced and demonstrated.\\n\\nTopics covered include:\\n•\\tCategories of descriptive data\\n•\\tMeasures of central tendency, the mean, median, mode, and their interpretations and calculations\\n•\\tMeasures of spread-in-data, the range, interquartile-range, standard deviation and variance\\n•\\tBox plots\\n•\\tInterpreting the standard deviation measure using the rule-of-thumb and Chebyshev’s theorem\\n________________________________________\\nWEEK 2\\nModule 2: Descriptive Measures of Association, Probability, and Statistical Distributions\\nThis module presents the covariance and correlation measures and their respective Excel functions. You get to understand the notion of causation versus correlation. The module then introduces the notion of probability and random variables and starts introducing statistical distributions.\\n\\nTopics covered include:\\n•\\tMeasures of association, the covariance and correlation measures; causation versus correlation\\n•\\tProbability and random variables; discrete versus continuous data\\n•\\tIntroduction to statistical distributions\\n________________________________________\\nWEEK 3\\nModule 3: The Normal Distribution\\nThis module introduces the Normal distribution and the Excel function to calculate probabilities and various outcomes from the distribution. \\n\\nTopics covered include:\\n•\\tProbability density function and area under the curve as a measure of probability\\n•\\tThe Normal distribution (bell curve), NORM.DIST, NORM.INV functions in Excel\\n________________________________________\\nWEEK 4\\nModule 4: Working with Distributions, Normal, Binomial, Poisson\\nIn this module, you'll see various applications of the Normal distribution. You will also get introduced to the Binomial and Poisson distributions. The Central Limit Theorem is introduced and explained in the context of understanding sample data versus population data and the link between the two.\\n\\nTopics covered include:\\n•\\tVarious applications of the Normal distribution\\n•\\tThe Binomial and Poisson distributions\\n•\\tSample versus population data; the Central Limit Theorem","chi-squared distribution; studentized residual; binomial distribution; poisson distribution; statistics; microsoft excel; probability; analysis; normal distribution; statistical analysis","Business Statistics and Analysis",2.0,"https://www.coursera.org/specializations/business-statistics-analysis","The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.\\n\\nTo successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later.\\n\\nTo see an overview video for this Specialization, click here!","7.5 - 13.9","NA","English","data-science","data-analysis","dLJlLLvTEeWH_w6eDJDPoQ"]
["2. Upskill","Basic Descriptive Statistics","Basic Statistics","University of Amsterdam","Advanced",36.1,4.62,"https://www.coursera.org/learn/basic-statistics","Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. \\n\\nIn the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. \\n\\nThe second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. \\n\\nThe third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.\\n\\nYou will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software.","confidence; hypothesis testing; statistical hypothesis testing; probability; r programming; hypothesis; computer programming; confidence interval; studentized residual; statistics","Methods and Statistics in Social Sciences",3.0,"https://www.coursera.org/specializations/social-science","Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.\\n\\nThis Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.","20.8 - 52.8","German","English","data-science","probability-and-statistics","ZNeGqEC2EeWC4g7VhG4bTQ"]
["2. Upskill","Basic Descriptive Statistics","Introduction to Probability and Data","Duke University","Beginner",20.9,4.69,"https://www.coursera.org/learn/probability-intro","This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.","studentized residual; exploratory data analysis; probability; rstudio; r programming; statistics; data analysis; analysis; data uri scheme; computer programming","Statistics with R",1.0,"https://www.coursera.org/specializations/statistics","In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.\\n\\nYou will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.","14.2 - 24.7","Korean","English","data-science","data-analysis","2dHcFsRdEeW2JxKnR3RyOw"]
["2. Upskill","Regression","Regression Models","Johns Hopkins University","Beginner",16.9,4.33,"https://www.coursera.org/learn/regression-models","Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.  Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.","model selection; regression analysis; modeling; linear regression; logistic regression; generalized linear model; statistics; linearity; analysis; linear model","Data Science: Statistics and Machine Learning",2.0,"https://www.coursera.org/specializations/data-science-statistics-machine-learning","Build models, make inferences, and deliver interactive data products.\\n\\nThis specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.\\n\\nThe five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.","9.1 - 22.3","Vietnamese; Korean","English","data-science","probability-and-statistics","a_xPWXNVEeWxvQr3acyajw"]
["2. Upskill","Regression","Regression Modeling in Practice","Wesleyan University","Intermediate",14.3,4.34,"https://www.coursera.org/learn/regression-modeling-practice","This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.","dependent and independent variables; statistics; logistic regression; linear regression; data analysis; regression analysis; linearity; python programming; confounding; analysis","Data Analysis and Interpretation",3.0,"https://www.coursera.org/specializations/data-analysis","Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.\\n\\nThe Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.","9.6 - 17.5","NA","English","data-science","probability-and-statistics","XUoQOTbqEeWoUw6Yc8vnEw"]
["2. Upskill","Bayesian Statistics","Bayesian Statistics: From Concept to Data Analysis","University of California, Santa Cruz","Intermediate",34.7,4.48,"https://www.coursera.org/learn/bayesian-statistics","This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.","conjugate prior; studentized residual; statistics; bayesian; probability; prior probability; r programming; bayesian statistics; inference; bayesian inference","Non Specialization","Non Specialization","Non Specialization","Non Specialization","14 - 53.6","NA","English","data-science","probability-and-statistics","Qqmr3fBKEeWLaBLI8fdMlw"]
["2. Upskill","Bayesian Statistics","Bayesian Statistics: Techniques and Models","University of California, Santa Cruz","Advanced",48.6,4.65,"https://www.coursera.org/learn/mcmc-bayesian-statistics","This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them. In particular, we will introduce Markov chain Monte Carlo (MCMC) methods, which allow sampling from posterior distributions that have no analytical solution. We will use the open-source, freely available software R (some experience is assumed, e.g., completing the previous course in R) and JAGS (no experience required). We will learn how to construct, fit, assess, and compare Bayesian statistical models to answer scientific questions involving continuous, binary, and count data. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Computer demonstrations provide concrete, practical walkthroughs. Completion of this course will give you access to a wide range of Bayesian analytical tools, customizable to your data.","bayesian inference; inference; hierarchical database model; analysis of variance; statistics; markov chain; gibbs sampling; bayesian statistics; bayesian; logistic regression","Non Specialization","Non Specialization","Non Specialization","Non Specialization","24.9 - 85.7","NA","English","data-science","probability-and-statistics","w8XUd6IPEeabYQqQ7YU7Bg"]
["2. Upskill","Econometrics","Econometrics: Methods and Applications","Erasmus University Rotterdam","Beginner",29.7,4.49,"https://www.coursera.org/learn/erasmus-econometrics","Welcome!\\nDo you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making.\\n\\n* What do I learn?\\nWhen you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data.  You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. \\n\\n* Do I need prior knowledge?\\nThe course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam.\\n\\n* What literature can I consult to support my studies?\\nYou can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies.\\n\\n* Will there be teaching assistants active to guide me through the course?\\nStaff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises.\\n\\n* How will I get a certificate?\\nTo gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments.\\n\\nHave a nice journey into the world of Econometrics!\\nThe Econometrics team","environment variable; linearity; discrete choice; regression analysis; statistics; econometrics; time series; matrices; modeling; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","16.3 - 40.5","NA","English","data-science","probability-and-statistics","1BM3lirjEeWLVg5w1LoYqQ"]
["2. Upskill","Python Programming","Introduction to Data Science in Python","University of Michigan","Intermediate",17.4,4.33,"https://www.coursera.org/learn/python-data-analysis","This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. \\n\\nThis course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.","pandas; computer programming; python programming; data analysis; numpy; data uri scheme; data segment; data cleansing; analysis; Data Science","Applied Data Science with Python",1.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","10.5 - 22.1","Vietnamese; Korean; Hebrew; Chinese; Portuguese","English","data-science","data-analysis","RZ1S0B0MEeacvQ6cODzg5Q"]
["2. Upskill","Python Programming","Applied Plotting, Charting & Data Representation in Python","University of Michigan","Advanced",16.2,4.33,"https://www.coursera.org/learn/python-plotting","This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. \\n\\nThis course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.","computer programming; pandas; plot (graphics); data virtualization; graphics; data segment; data visualization; python programming; data uri scheme; matplotlib","Applied Data Science with Python",2.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","10.9 - 20.5","Korean","English","data-science","data-analysis","IIoidx0zEeaeiw6Wrvtw9w"]
["2. Upskill","Python Programming","Applied Machine Learning in Python","University of Michigan","Advanced",23.0,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","computer programming; python programming; learning; machine learning algorithms; supervised learning; algorithms; scikit-learn; evaluation; machine learning; machine learning concepts","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","14.5 - 31.7","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["2. Upskill","Python Programming","Applied Social Network Analysis in Python","University of Michigan","Advanced",18.2,4.58,"https://www.coursera.org/learn/python-social-network-analysis","This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. \\n\\nThis course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.","machine learning; social network; graph theory; analysis; social network analysis; network theory; network analysis; computer programming; python programming; graphs","Applied Data Science with Python",5.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","8.1 - 28.4","Korean","English","data-science","data-analysis","ZIVvfx00EeagBBLYvz0q6w"]
["2. Upskill","SAS (Software)","Statistics with SAS","SAS","Advanced",24.3,4.87,"https://www.coursera.org/learn/sas-statistics","This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.","sas (software); v-statistic; sas language; statistics; stata; akaike information criterion; stepwise regression; spss; statistical analysis; analysis of variance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.3 - 33.5","NA","English","data-science","data-analysis","_9RQIP1dEeivKQ5QhuTomA"]
["2. Upskill","SAS (Software)","Machine Learning Using SAS Viya","SAS","Advanced",26.1,4.52,"https://www.coursera.org/learn/machine-learning-sas","This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems. \\n\\nThis course uses Model Studio, the pipeline flow interface in SAS Viya that enables you to prepare, develop, compare, and deploy advanced analytics models. You learn to train supervised machine learning models to make better decisions on big data. The SAS applications used in this course make machine learning possible without programming or coding.","recursive partitioning; predictive modelling; machine learning; algorithms; analysis; learning; data clustering algorithms; data segment; supply chain; supervision","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15 - 29.2","NA","English","data-science","machine-learning","QQWDNDR8EemuNhJSdKP02A"]
["2. Upskill","SAS (Software)","Using SAS Viya REST APIs with Python and R","SAS","NA",21.9,4.33,"https://www.coursera.org/learn/sas-viya-rest-api-python-r","SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. And once SAS Viya has done the heavy lifting, you’ll be able to download data to the client and use native open source syntax to compare results and create graphics.","modeller; parasolid; exponential smoothing; gimias; hinge loss; elki; neural network software; data mining and machine learning software; deeplearning4j; representational state transfer","Non Specialization","Non Specialization","Non Specialization","Non Specialization","11.9 - 29.3","NA","English","data-science","data-analysis","N9ARoTR9Eem8AApO0WzJlA"]
["2. Upskill","SAS (Software)","Getting Started with SAS Programming","SAS","Beginner",24.6,4.87,"https://www.coursera.org/learn/sas-programming-basics","This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.\\n\\nBy the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.\\n\\nPrerequisites:\\nLearners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.","statistics; software as a service; language; omega language; computer programming; Data Entry; data uri scheme; data reporting; sql; sas language","SAS Programmer",1.0,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","14.9 - 33.2","NA","English","data-science","data-analysis","Tx7bH4XkEeiLtQ4wBPSBfA"]
["2. Upskill","Agile Software Development","Agile Meets Design Thinking","University of Virginia","Beginner",15.4,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","experience; storyboarding; software development; agile software development; management; design thinking; software; user experience; persona (user experience); user story","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","10.5 - 17.6","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["2. Upskill","Agile Software Development","Running Product Design Sprints","University of Virginia","Intermediate",14.1,4.53,"https://www.coursera.org/learn/uva-darden-running-design-sprints","Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. \\n \\nDesign sprints allow you to meet client's desire for quick, specific outcomes while making time to do things right. In this course, we'll show you how to plan and run situation-appropriate sprints to avoid waste and deliver value sooner. You'll explore how to do this across customer discovery, testing with Learn Startup, usability testing, and product architecture. \\n \\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","java annotation; management; software testing; openfabrics alliance; usability; integration testing; agile management; scrum (software development); usability testing; design sprint","Agile Development",2.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","9.2 - 16.5","NA","English","computer-science","design-and-product","qVetW596EeW6bw4ogk2HGQ"]
["2. Upskill","Agile Software Development","Managing an Agile Team","University of Virginia","Beginner",16.4,4.66,"https://www.coursera.org/learn/uva-darden-agile-team-management","While agile has become the de facto standard for managing digital innovation teams, many wonder if they’re doing it ‘right’. Twitter is full of jokes about how teams say they do agile but don’t ‘really’ do it. The reality is that getting the most out of agile is less about observing specific procedures and more about how a team focuses and measures their progress. \\n\\nRather than just boring you with an accounting of agile methodologies, this course focuses on helping you better charter your team’s focus, definition of success, and practice of agile. While learning about agile mainstays like Scrum, XP, and kanban, you’ll also learn to help your team ask the right questions about how they’re working and facilitate good answers on how agile can help.    \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","software; scrum (software development); management; link aggregation; openfabrics alliance; agile software development; iteration; agile management; integration testing; software development","Agile Development",3.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","10.7 - 18.5","Arabic","English","computer-science","design-and-product","94jQ-3EnEeWhZxJhllGpHQ"]
["2. Upskill","Agile Software Development","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.53,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","agile software development; usability; agile testing; software testing; continuous delivery; software development; openfabrics alliance; sed; integration testing; software","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","7.1 - 16.3","NA","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["2. Upskill","Agile Software Development","Agile Development in Practice (Project-centered Course)","University of Virginia","Advanced",11.7,4.39,"https://www.coursera.org/learn/uva-darden-agile-development-capstone","This project-centered course provides a guided opportunity for you to practice your agile development skills. Using the venture design process that frames the four courses in this Specialization, you will apply agile processes to a project of your choice or to a provided venture concept. From persona, problem scenario, and user story development to designing user testing and product launch, you’ll practice leading an agile project. You’ll finish the course with a portfolio-building design brief that demonstrates your learning and specialized skills in agile product development.\\n\\nTo get the most out of this course, we suggest you first complete the other four courses in the Agile Development Specialization: Agile Meets Design Thinking; Running Product Design Sprints, Managing an Agile Team, Testing with Agile. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 40 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","software; software testing; software development; test automation; agile management; scrum (software development); design thinking; management; program management; agile software development","Agile Development",5.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","7.2 - 14.7","NA","English","computer-science","design-and-product","OdCMA6NeEeWw6Q7sxrDlWQ"]
["2. Upskill","Agile Software Development","Agile with Atlassian Jira","Atlassian","Beginner",11.1,4.59,"https://www.coursera.org/learn/agile-atlassian-jira","Agile teams use “just enough” planning and an incremental approach to accomplishing the work of the team. Every project and every team uses a custom agile methodology. This course discusses common foundational principles and practices used by agile methodologies, providing the student a flexible set of tools to use in any role (e.g. product owner, scrum master, project manager, team member) on any agile team. This course mainly discusses agile and lean principles, the kanban and scrum agile methodologies, and uses Atlassian Jira Software Cloud as the main software tool to apply hands-on learning of the topics. The course includes instruction on \"classic\" Jira projects as well as the new \"next-gen\" Jira projects.\\n\\nStudents can use the free plan of Atlassian Jira Software Cloud to complete the hands-on labs associated with this course. By the time you have completed this course, you will have a strong foundational understanding of agile principles and practices, and strong hands-on experience with Atlassian Jira Software Cloud. You will be the site administrator for your Jira account, so you will be able to perform basic administration tasks on your site. You should be able to continuously configure your Jira project(s) to match your team's custom agile methodology.\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs using Atlassian Jira Software Cloud require you to have a Windows, Mac or Linux computer.\\n\\nThis course tries to be as concise as possible. It will probably take you about 6-12 hours to go through, but your mileage may vary. It is highly encouraged that you apply what you learn to managing personal agile projects after the course is complete.","jira (software); kanban; agile software development; project management; agile management; project; software development; management; scrum (software development); software","Non Specialization","Non Specialization","Non Specialization","Non Specialization","7.1 - 14","NA","English","computer-science","software-development","MhlnlfD8EeesnRJUyZNfHA"]
["2. Upskill","Agile Software Development","Software Processes and Agile Practices","University of Alberta","Beginner",11.1,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","agile software development; unified process; software; scrum (software development); software development process; management; kanban; lean software development; process; software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","5.6 - 16.7","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["2. Upskill","Agile Software Development","Agile Planning for Software Products","University of Alberta","Beginner",17.4,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","management; Planning; agile management; risk; software; plan; finger protocol; agile software development; software development; project","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","10.4 - 27.4","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["2. Upskill","Algorithms","Algorithms, Part II","Princeton University","Intermediate",35.0,4.95,"https://www.coursera.org/learn/algorithms-part2","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","data compression; sorting; data segment; string searching algorithm; data structure; computer programming; java programming; java (software platform); graphs; algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22.1 - 41.7","Korean","English","computer-science","algorithms","fEHS45vFEeaF3g7NeAQepg"]
["2. Upskill","Algorithms","Algorithms, Part I","Princeton University","Intermediate",32.1,4.88,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","algorithms; algorithmics; data structure; java (software platform); computer programming; priority queue; java programming; sorting; search tree; data uri scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","20.8 - 38.6","Korean; Russian","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["2. Upskill","Algorithms","Approximation Algorithms Part I","École normale supérieure","NA",22.1,4.82,"https://www.coursera.org/learn/approximation-algorithms-part-1","Approximation algorithms, Part I\\n\\nHow efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum. \\n\\nThis course assumes knowledge of a standard undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a favorite and amazingly successful technique in this area. By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments.  \\n\\nThis is the first of a two-part course on Approximation Algorithms.","vertex cover; linearity; randomized rounding; linear programming; approximation algorithm; algorithms; approximation; randomness; bin packing problem; rounding","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15.1 - 25","NA","English","computer-science","algorithms","bnQLDSclEeWbiBJCM9ziNQ"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Migrating to the Cloud","Amazon Web Services","Advanced",9.7,4.56,"https://www.coursera.org/learn/aws-fundamentals-cloud-migration","This four week course focuses on migrating workloads to AWS.  We will focus on  analyzing your current environment, planning your migration, AWS services that are commonly used during your migration, and the actual migration steps.  \\n\\nHands-on labs are available, though not required for this class.  Access to the labs is limited to paid enrolled students.  You can audit this  course without taking the labs.  As we dive into each of the services covered in this class, there will be links to documentation where you can find example applications and code samples.\\n\\nIf you are new to AWS, we strongly suggest that you take “AWS Fundamentals: Going Cloud Native” (https://www.coursera.org/learn/aws-fundamentals-going-cloud-native) course available on Coursera to provide an introduction to AWS concepts and services.","cloud computing; .properties; software as a service; learning; data migration; cloud computing security; amazon web services; integration testing; chatterbots; data uri scheme","AWS Fundamentals",3.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","3.8 - 15.9","NA","English","information-technology","data-management","c4C7Kpm0EemfgRICI_I3ug"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Building Serverless Applications","Amazon Web Services","Advanced",17.9,4.67,"https://www.coursera.org/learn/aws-fundamentals-building-serverless-applications","This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises you'll learn skills in building and deploying serverless solutions. \\n\\nUsing real-world examples of a serverless website and chat bot, you'll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.\\n\\nIn this course, you'll have the option to complete hands-on exercises. We strongly suggest you take advantage of the AWS Free Tier to follow the lab exercises provided by throughout the course. Be aware that any services used outside of the free tier may result in you incurring charges through your AWS account. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the knowledge and skills to build serverless solutions on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","lexical analysis; amazon dynamodb; cloud computing; chatterbots; application programming interfaces; microservices; amazon web services; amazon cloudfront; web; web service","AWS Fundamentals",4.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","4.1 - 31.9","NA","English","information-technology","cloud-computing","nBOY_jY0Eem0_ArClQZx9A"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Beginner",10.1,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","database; load balancing; amazon web services; web; relational database; autoscaling; cloud computing; amazon dynamodb; web service; amazon elastic compute cloud","AWS Fundamentals",1.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","4.3 - 13.5","NA","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Addressing Security Risk","Amazon Web Services","Intermediate",6.9,4.28,"https://www.coursera.org/learn/aws-fundamentals-addressing-security-risk","Through presentations, demonstrations, and readings, this course will introduce security concepts for use with Amazon Web Services (AWS). \\n\\nEach week will focus on different aspects of security on AWS.  In week one we will review some basic concepts such as \"least privilege\" and the \"shared security model\".  You will learn about AWS compliance programs, and look at securing AWS accounts using AWS IAM. \\n\\nIn the second week, we will focus on securing your infrastructure.  We will look at network isolation and endpoint security.  We will then look at detective controls such as Amazon Cloudtrail and AWS Cloudtrail as well as the AWS Security Hub, Amazon GuardDuty and AWS Config.\\n\\nWeek three will focus on data protection. We will look at encryption of data at rest, in motion, and best practices for how to store data within and between various AWS services.\\n\\nIn the final week of the course, we will look at protecting compute resources such as Amazon EC2 and AWS Lambda as well as managing secrets and finish off the course with a look at the AWS Well-Architected Framework.\\n\\nClass forums will also allow you to ask questions and interact with AWS training instructors.\\n\\nThis course has been developed by AWS, and is delivered by AWS Solutions Architects.","encryption; ipsec; amazon web services; cryptographic protocol; identity provider; security modes; security; cloud computing security; identity management; risk","AWS Fundamentals",2.0,"https://www.coursera.org/specializations/aws-fundamentals","This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.","4.1 - 8.4","NA","English","information-technology","cloud-computing","xhRmx0_tEemoXg4ZX62OZA"]
["2. Upskill","Android Development","Java for Android","Vanderbilt University","Intermediate",36.1,4.44,"https://www.coursera.org/learn/java-for-android","This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. \\n\\nIn particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods). Learners will apply these Java features in the context of core Android components (such as Activities and basic UI elements) by applying common tools (such as Android Studio) needed to develop Java programs and useful Android apps.  \\n\\nLearners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. There will be roughly 4-6 hours of student engagement time per week, including video lectures, quizzes, and programming assignments.","java programming; java (software platform); java syntax; object-oriented programming; syntax; software; logic programming; computer programming; android studio","Android App Development",1.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","13.1 - 57.2","NA","English","computer-science","mobile-and-web-development","8UQBnm04EeWyAQ6K5KeLkw"]
["2. Upskill","Android Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","deployment environment; web development; graphical environment manager; typescript; ionic (mobile app framework); mobile app; angularjs; web; user interface design; mobile application development","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","16.5 - 38.3","NA","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["2. Upskill","Applied Machine Learning","Applied Machine Learning in Python","University of Michigan","Advanced",23.0,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","computer programming; python programming; learning; machine learning algorithms; supervised learning; algorithms; scikit-learn; evaluation; machine learning; machine learning concepts","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","14.5 - 31.7","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["2. Upskill","Applied Machine Learning","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","analysis; machine learning; approximation error; learning; error; deep learning; multi-task learning; computer multitasking; project; type i and type ii errors","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","4.5 - 8","Korean; Chinese; Spanish; Turkish","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["2. Upskill","Applied Machine Learning","Applying Machine Learning to your Data with GCP","Google Cloud","Beginner",13.3,4.72,"https://www.coursera.org/learn/data-insights-gcp-apply-ml","In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.\\n\\nPREREQUISITES\\nTo get the most out of this course, participants must complete the prior courses in this specialization:\\n• Exploring and Preparing your Data\\n• Storing and Visualizing your Data\\n• Architecture and Performance\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","learning; feature selection; application programming interfaces; integration testing; applied machine learning; bigquery; google cloud platform; machine learning; cloud computing; google","From Data to Insights with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","4.2 - 18.2","Japanese","English","information-technology","data-management","T_e2Fp5sEeehoxIgNgFKoA"]
["2. Upskill","Applied Machine Learning","Introduction to Applied Machine Learning","Alberta Machine Intelligence Institute","Intermediate",8.7,4.65,"https://www.coursera.org/learn/machine-learning-applied","This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.\\n\\nBy the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.\\n\\nThis is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.","ethics; evaluation; artificial intelligence applications; artificial intelligence; data segment; applied machine learning; machine learning algorithms; algorithms; machine learning; Business Solutions","Machine Learning: Algorithms in the Real World",1.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","4.4 - 12.4","NA","English","data-science","machine-learning","kaqaonCMEemORhJE5rEKUA"]
["2. Upskill","Artificial Neural Network","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","learning; feedforward neural network; artificial neural network; computer programming; backpropagation; supply chain; numpy; python programming; logistic regression; deep learning","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","11.6 - 20.2","Korean; Arabic; French; Portuguese; Spanish; Japanese; Chinese; Vietnamese; Turkish; Ukrainian","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["2. Upskill","Artificial Neural Network","Convolutional Neural Networks","deeplearning.ai","Beginner",20.5,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","computer vision; convolutional neural network; learning; face recognition; facial recognition system; object detection; tensorflow; artificial neural network; detection; keras","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","13.7 - 23.5","Korean; Chinese; Spanish; Japanese; Turkish","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["2. Upskill","Artificial Neural Network","Convolutional Neural Networks in TensorFlow","deeplearning.ai","Beginner",7.7,4.59,"https://www.coursera.org/learn/convolutional-neural-networks-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","image processing; keras; tensorflow; convolutional neural network; artificial neural network; learning; convolution; inductive transfer; statistical classification; multiclass classification","TensorFlow in Practice",2.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","3.5 - 9.8","Russian; Japanese","English","data-science","machine-learning","5mAuak8zEemKoQ4qeYq26g"]
["2. Upskill","Big Data","Big Data, Artificial Intelligence, and Ethics","University of California, Davis","Beginner",15.9,4.75,"https://www.coursera.org/learn/big-data-ai-ethics","This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.","ethics; ethics of artificial intelligence; quantum artificial intelligence lab; agent-based model; sexual dimorphism in dinosaurs; organic memory; computational social science; artificial intelligence; computation; paul fitts","Computational Social Science",2.0,"https://www.coursera.org/specializations/computational-social-science-ucdavis","For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\\n\\nAn increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.\\n\\nThis specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.","10.6 - 21.6","NA","English","data-science","data-analysis","W0t1pk86Eem5IQ5Koqu4WA"]
["2. Upskill","Big Data","Big Data Emerging Technologies","Yonsei University","Advanced",13.8,4.64,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","PowerEdge Server; ibm scalable powerparallel; emerging technologies; storm (event processor); autonomous cars; internet of things; Information Mapping; communication; big data; mapreduce","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","6.6 - 18.7","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["2. Upskill","Cloud Engineering","Essential Google Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.8,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; virtual machine; google compute engine; virtual private cloud; cloud infrastructure; cloud platforms; cloud computing; google cloud platform; virtual private networks; private network","Cloud Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","5.8 - 13.3","NA","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["2. Upskill","Cloud Engineering","Essential Google Cloud Infrastructure: Core Services","Google Cloud","Beginner",28.7,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; cloud computing; bigquery; management; debugging; google cloud platform; identity management; resource; cloud storage; cloud platforms","Cloud Architecture with Google Cloud",3.0,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","9.6 - 50.2","NA","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["2. Upskill","Cloud Engineering","Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","Beginner",13.0,4.68,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; kubernetes; javascript; google; cloud platforms; google cloud platform; database; cloud engineering; data clustering algorithms; data uri scheme","Cloud Engineering with Google Cloud",5.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","4.9 - 22.8","NA","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["2. Upskill","Cloud Infrastructure","Elastic Google Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",25.9,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Google Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud computing; google cloud platform; autoscaling; google; managed services; load balancing; cloud infrastructure; build automation; virtual private networks; management","Cloud Engineering with Google Cloud",4.0,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","9.2 - 43.9","NA","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["2. Upskill","Cloud Storage","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",28.2,4.62,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","dataflow; learning; google cloud platform; machine learning; bigquery; google; cloud computing; cloud platforms; big data; google cloud dataproc","Data Engineering with Google Cloud",1.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","9.5 - 50.8","NA","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["2. Upskill","Cloud Storage","Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","Beginner",10.8,4.67,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.","data clustering algorithms; google; sql; cloud computing; data warehousing; algorithms; bigquery; data lake; cluster analysis; cloud storage","Data Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","6.7 - 13.1","NA","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["2. Upskill","Cloud Storage","Preparing for the Google Cloud Professional Data Engineer Exam","Google Cloud","Beginner",14.4,4.57,"https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.","google cloud platform; data analysis; information engineering; cloud computing; data structure; 4dos; machine learning; data visualization; mathematical optimization; google","Data Engineering with Google Cloud",6.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","8.4 - 17","NA","English","information-technology","cloud-computing","AZZak_fXEeiy5gqB-GZ7rA"]
["2. Upskill","Continuous Delivery","DevOps Culture and Mindset","University of California, Davis","Beginner",18.5,4.82,"https://www.coursera.org/learn/devops-culture-and-mindset","This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work. We’ll learn about strategies to manage work, monitor it, keep it organized, and maintain a high level of quality by following key DevOps principles. We’ll also discuss various organizational models and structures that are used by companies in their DevOps transformations. You’ll learn about value stream mapping, and ensuring continuous workflow. Ultimately, we'll learn key ideas and tactics that you can employ at your own organizations to improve both time-to-market and increase the value delivered for your customers, no matter your product line or industry.","devops; integration testing; security engineering; kanban; linux; infrastructure as code; microservices; best practice; continuous delivery; device file","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.7 - 21.5","NA","English","computer-science","software-development","Q5Krn5BMEei3MQqxoqmsBA"]
["2. Upskill","Cryptography","Cryptography and Information Theory","University of Colorado System","Intermediate",9.0,4.41,"https://www.coursera.org/learn/crypto-info-theory","Welcome to Cryptography and Information Theory! \\n\\nThis course combines cryptography (the techniques for protecting information from unauthorized access) and information theory (the study of information coding and transfer). More specifically, the course studies cryptography from the information-theoretical perspectives and discuss the concepts such as entropy and the attacker knowledge capabilities, e.g., Kerckhoff's Principle. It also contrasts information-theoretic security and computational security to highlight the different train of thoughts that drive the cryptographic algorithmic construction and the security analyses.\\n\\nThis course is a part of the Applied Cryptography specialization.","side-channel attack; entropy (information theory); one-time pad; information-theoretic security; cryptanalysis; cryptography; computation; information theory; determinism; security through obscurity","Applied Cryptography",1.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","4 - 13.5","NA","English","computer-science","computer-security-and-networks","9xAhpFESEeetjQ5ppGVTyA"]
["2. Upskill","Cryptography","Symmetric Cryptography","University of Colorado System","Advanced",26.2,4.45,"https://www.coursera.org/learn/symmetric-crypto","Welcome to Symmetric Cryptography! \\n\\nSymmetric cryptography relies on shared secret key to ensure message confidentiality, so that the unauthorized attackers cannot retrieve the message. The course describes substitution and transposition techniques, which were the bases for classical cryptography when the message is encoded in natural language such as English. Then, we build on product ciphers (using both substitution and transposition/permutation) to describe modern block ciphers and review the widely used cipher algorithms in DES, 3-DES, and AES. Lastly, we enable the use of block ciphers to support variable data length by introducing different modes of block cipher operations in ECB, CBC, CFB, OFB, and CTR modes.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","symmetric-key algorithm; modulo operation; cryptography; streams; permutations; block cipher mode of operation; feistel cipher; block cipher; stream cipher; cipher","Applied Cryptography",2.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","7.8 - 41.2","NA","English","computer-science","computer-security-and-networks","N0UXuVEUEeeMogo_t-e1wg"]
["2. Upskill","Cryptography","Asymmetric Cryptography and Key Management","University of Colorado System","Advanced",12.3,4.5,"https://www.coursera.org/learn/asymmetric-crypto","Welcome to Asymmetric Cryptography and Key Management! \\n\\nIn asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","cryptography; discrete logarithm; cipher; factorization; algorithms; pairing; key distribution; public-key cryptography; key exchange; integer factorization","Applied Cryptography",3.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","3.9 - 17.5","NA","English","computer-science","computer-security-and-networks","qRzsCVEUEeeF5RIYZYolcA"]
["2. Upskill","Cryptography","Cryptographic Hash and Integrity Protection","University of Colorado System","Advanced",14.4,4.35,"https://www.coursera.org/learn/cryptographic-hash-integrity-protection","Welcome to Cryptographic Hash and Integrity Protection! \\n\\nThis course reviews cryptographic hash functions in general and their use in the forms of hash chain and hash tree (Merkle tree). Building on hash functions, the course describes message authentication focusing on message authentication code (MAC) based on symmetric keys. We then discuss digital signatures based on asymmetric cryptography, providing security properties such as non-repudiation which were unavailable in symmetric-cryptography-based message authentication.\\n\\nThis course is a part of the Applied Cryptography specialization.","authentication; cryptographic hash function; hash function; message authentication code; hash chain; message authentication; digital signature; hashing; cryptography; signature","Applied Cryptography",4.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","6 - 21.9","NA","English","computer-science","computer-security-and-networks","7CP_xlETEeeMogo_t-e1wg"]
["2. Upskill","Data Structures","Ordered Data Structures","University of Illinois at Urbana-Champaign","Intermediate",21.8,4.75,"https://www.coursera.org/learn/cs-fundamentals-2","In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.","avl tree; binary search algorithm; stack (abstract data type); b-tree; heap (data structure); search tree; data structure; arrays; binary tree; binary search tree","Accelerated Computer Science Fundamentals",2.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","11.5 - 35.7","NA","English","computer-science","software-development","MVZ09jVhEemVlQ65Erh-fA"]
["2. Upskill","Data Structures","Unordered Data Structures","University of Illinois at Urbana-Champaign","Advanced",16.8,4.75,"https://www.coursera.org/learn/cs-fundamentals-3","The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.","c++; computer science; algorithms; data structure; spanning tree; path (variable); shortest path problem; graphs; tree traversal; hashing","Accelerated Computer Science Fundamentals",3.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","10 - 22.5","NA","English","computer-science","software-development","sI_-QEBiEemtDRLx7Ne8jg"]
["2. Upskill","Data Structures","Data Structures and Performance","University of California San Diego","Intermediate",28.4,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","java (software platform); data segment; data uri scheme; data structure; algorithms; java programming; list & label; hashing; linked list; computer programming","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","19.1 - 42.4","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["2. Upskill","Database Design","Database Management Essentials","University of Colorado System","Intermediate",27.7,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","data model; database normalization; sql; data uri scheme; entity relationship model; data modeling; database; management; modeling; database design","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","13.7 - 37.3","Korean; Chinese","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["2. Upskill","Database Design","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Intermediate",27.9,4.41,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","pentaho; data warehousing; extract, transform, load; talend; sql; data cube; data uri scheme; data integration; relational database; database","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","10.7 - 43.4","NA","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["2. Upskill","Database Design","Managing Big Data with MySQL","Duke University","Beginner",24.8,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","language; sql; database; omega language; Teradata; query language; mysql; data uri scheme; data analysis; analysis","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","15.5 - 30","Korean; Spanish; Chinese; Vietnamese; Russian","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["2. Upskill","Database Design","SQL for Data Science","University of California, Davis","Beginner",20.0,4.48,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","data uri scheme; sql commands; analysis; sqlite; data segment; join (sql); data analysis; Data Science; sql; database","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","12.7 - 34.9","NA","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["2. Upskill","Front-End Web Development","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.3,4.74,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","CSS; web; bootstrap (front-end framework); sass (stylesheet language); jquery; language; software as a service; javascript; omega language; node.js","Full Stack Web and Multiplatform Mobile App Development",1.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","21.2 - 36.2","NA","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["2. Upskill","Front-End Web Development","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.7,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","representational state transfer; typescript; angularjs; javascript library; materials; client server model; javascript; reactive programming; computer programming; web","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","26.2 - 46.3","NA","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["2. Upskill","Front-End Web Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.5,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","deployment environment; web development; graphical environment manager; typescript; ionic (mobile app framework); mobile app; angularjs; web; user interface design; mobile application development","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","16.5 - 38.3","NA","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["2. Upskill","Front-End Web Development","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.6,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","node.js; web; Redux; javascript; react (javascript library); web development; typescript; front-end web development; javascript library; mean (software bundle)","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","22.8 - 41.6","NA","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["2. Upskill","Front-End Web Development","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.5,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","web; CSS; web page; Style Sheets; computer programming; web development; html; algorithms; javascript; HTML5","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","11.1 - 25.6","NA","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["2. Upskill","Front-End Web Development","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.3,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","computer programming; css frameworks; bootstrap (front-end framework); web; html; javascript; css code; HTML5; ajax (programming); CSS","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","21.3 - 40.9","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["2. Upskill","Front-End Web Development","Interactivity with JavaScript","University of Michigan","Beginner",11.1,4.66,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","html; web design; web development; web; computer programming; document object model; javascript; interactivity; javascript syntax; syntax","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","6.6 - 14.3","NA","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["2. Upskill","Front-End Web Development","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.4,4.71,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","bootstrap (front-end framework); HTML5; javascript; web; web design; responsive web design; media queries; CSS; html; web development","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","4.7 - 10.9","NA","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["2. Upskill","Graphic Design","Graphic Design","University of Colorado Boulder","Intermediate",10.8,4.7,"https://www.coursera.org/learn/presentation-design","Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale.\\n\\nThis practical course gives you the tools  to create professional looking Powerpoints, reports, resumes, and presentations.. Using a set of best practices refined through years of experience, you’ll: \\n\\n• make your work look fresh and inspired.\\n• apply simple design “tricks” to begin any project with confidence and professionalism.\\n• receive and respond to criticism and revise your project from good to great.\\n\\n\"This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online.\" - a recent Graphic Design student\\n\\nAll of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign.","graphic design; adobe illustrator; learning; presentation; visual communication; writing; typography; Business Writing; graphics; need","Effective Communication: Writing, Design, and Presentation",2.0,"https://www.coursera.org/specializations/effective-business-communication","Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do.\\n\\nWhat our students say:\\n\\n\"A life-changing specialization.\"\\n\\n\"Simple yet powerful rules.\"\\n\\n\"Essential for everyone.\"","4 - 13.9","Italian; Arabic","English","business","business-essentials","EH0q6oysEeWIbw4397jVQw"]
["2. Upskill","Graphic Design","Fundamentals of Graphic Design","California Institute of the Arts","Beginner",13.4,4.72,"https://www.coursera.org/learn/fundamentals-of-graphic-design","Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.\\n\\nThrough visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.\\n\\nAt the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design.\\n\\nTo succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.","graphics; typography; design theory; art; learning; Color Theory; graphic design; adobe photoshop; Creativity; integration testing","Graphic Design",1.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","8.6 - 16.1","Spanish","English","arts-and-humanities","music-and-art","I82JCSWXEeWtRg6boA3D-Q"]
["2. Upskill","Graphic Design","Introduction to Typography","California Institute of the Arts","Beginner",9.9,4.76,"https://www.coursera.org/learn/typography","Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.\\n\\nIn this rigorous introductory course, we will study, name, and measure the characteristics of letterforms. We’ll consider the pragmatic concerns involved in selecting and combining type. We’ll peek into the \u2028rich historical, cultural, and aesthetic histories of familiar typefaces. We’ll discuss time-tested conventions and best practices in setting type, as governed by principles of hierarchy and spatial organization. And we’ll explore the expressive, meaning-making potential of type. \\n\\nInformative lectures will be complemented by a series of three peer-assessed assignments, culminating \u2028in an opportunity to design a full-scale typographic poster.\\n\\nPlease note that this is not a software course; a basic working knowledge of Adobe InDesign or other \u2028page layout software will be assumed. You will need access to a computer and page layout software, such as InDesign, to complete the assignments.","Poster Design; graphics; poster; learning; integration testing; history; graphic design; adobe indesign; typography; Creativity","Graphic Design",2.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","6.4 - 11.7","NA","English","arts-and-humanities","music-and-art","BPkiQyWcEeWxbhIkPfddLQ"]
["2. Upskill","iOS Development","Best Practices for iOS User Interface Design","University of California, Irvine","Beginner",22.1,4.5,"https://www.coursera.org/learn/ui","You will learn to develop sophisticated user interfaces for iOS, with a focus on user interface design best practices, UI animations, and responsive design. You will learn about the key UI widgets, mapping interfaces and view restoration.","user interface; flat design; navigation controls; user interface design; notification center; swift (programming language); skeuomorph; peering; ios app development; human interface guidelines","iOS Development for Creative Entrepreneurs",3.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","16.9 - 26","NA","English","computer-science","mobile-and-web-development","bTYGrDVuEeW6RApRXdjJPw"]
["2. Upskill","iOS Development","Introduction to Programming in Swift 5","LearnQuest","Beginner",20.7,4.25,"https://www.coursera.org/learn/swift-5-programming-introduction","Welcome to Introduction to Programming in Swift 5.\\n\\nIn this course we will introduce you to the absolute basics of the Swift programming language.  Whether you are a brand new programmer or have experience with other programming languages this course is for you.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tAn Introduction to Swift 5 programming concepts\\n•\\tInstalling the necessary tools\\n•\\tWorking with data such as Integers and Strings\\n•\\tCreating reusable code with functions\\n•\\tWorking with data constructs such as arrays and dictionaries\\n•\\tObject-oriented programming\\n•\\tModel View Controller\\n\\nBy the end of this course you will know how to build simple programs with the Swift programming language and you will be ready to learn iOS mobile development.","swift (programming language); mobile application development; ios app development; mobile app; xcode; boolean data type; language; programming language; computer programming; c++","Swift 5 iOS Application Developer",1.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","5.7 - 29.4","NA","English","computer-science","software-development","FSiMnrrVEemgqQ5Sr_yJXA"]
["2. Upskill","iOS Development","Introduction to iOS App Development with Swift 5","LearnQuest","Intermediate",15.6,4.61,"https://www.coursera.org/learn/ios-app-development-swift-5","Welcome to Introduction to iOS Application Development with Swift 5.\\n\\nIn this course you'll use your Swift skills to create iOS applications.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tWrite the code to build your very first iOS application\\n•\\tManage screen display with multiple views\\n•\\tUse auto layout and the interface builder\\n•\\tCreate applications with user interaction\\n•\\tDesign a user interface allowing for multiple screen size and direction\\n•\\tWrite and execute unit tests to keep your code error-free\\n•\\tPerform various calculations using Swift\\n\\nBy the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.","ios app development; mobile application development; Apple Keynote; xcode; objective-c; stack (abstract data type); calendar (apple); cover flow; Application Design; swift (programming language)","Swift 5 iOS Application Developer",2.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","5.6 - 22.9","NA","English","computer-science","software-development","5emj9LrXEem4thI30MvzOA"]
["2. Upskill","Java Programming","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.5,4.47,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","web; CSS; web page; Style Sheets; computer programming; web development; html; algorithms; javascript; HTML5","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","11.1 - 25.6","NA","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["2. Upskill","Java Programming","Parallel Programming in Java","Rice University","Intermediate",16.3,4.54,"https://www.coursera.org/learn/parallel-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism.\\n\\nWhy take this course?\\n\\n•\\tAll computers are multicore computers, so it is important for you to learn how to extend your knowledge of sequential Java programming to multicore parallelism.\\n•\\tJava 7 and Java 8 have introduced new frameworks for parallelism (ForkJoin, Stream) that have significantly changed the paradigms for parallel programming since the early days of Java.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tTheory of parallelism: computation graphs, work, span, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism\\n•\\tTask parallelism using Java’s ForkJoin framework\\n•\\tFunctional parallelism using Java’s Future and Stream frameworks\\n•\\tLoop-level parallelism with extensions for barriers and iteration grouping (chunking)\\n•\\tDataflow parallelism using the Phaser framework and data-driven tasks\\n\\nMastery of these concepts will enable you to immediately apply them in the context of multicore Java programs, and will also provide the foundation for mastering other parallel programming systems that you may encounter in the future  (e.g., C++11, OpenMP, .Net Task Parallel Library).","java (software platform); streams; data parallelism; task parallelism; dataflow; computer programming; unified parallel c; java concurrency; data uri scheme; parallel computing","Parallel, Concurrent, and Distributed Programming in Java",1.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","9 - 26.3","NA","English","computer-science","software-development","9_OIYfdDEeWfYgqbi1xsdw"]
["2. Upskill","Java Programming","Concurrent Programming in Java","Rice University","Beginner",15.2,4.47,"https://www.coursera.org/learn/concurrent-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8.   Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs.  By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability).\\n\\nWhy take this course?\\n\\n•\\tIt is important for you to be aware of the theoretical foundations of concurrency to avoid common but subtle programming errors. \\n•\\tJava 8 has modernized many of the concurrency constructs since the early days of threads and locks.\\n•\\tDuring the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tConcurrency theory: progress guarantees, deadlock, livelock, starvation, linearizability\\n•\\tUse of threads and structured/unstructured locks in Java\\n•\\tAtomic variables and isolation\\n•\\tOptimistic concurrency and concurrent collections in Java (e.g., concurrent queues, concurrent  hashmaps)\\n•\\tActor model in Java\\n\\nMastery of these concepts will enable you to immediately apply them in the context of concurrent Java programs, and will also help you master other concurrent programming system that you may encounter in the future  (e.g., POSIX threads, .NET threads).","java (software platform); computer programming; actor model; java concurrency; modeling; optimistic concurrency control; concurrent computing; null character; concurrency (computer science); concurrency control","Parallel, Concurrent, and Distributed Programming in Java",2.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","9.3 - 23.6","NA","English","computer-science","software-development","KDpdcxuGEea2Gw5ROLcooQ"]
["2. Upskill","Java Programming","Distributed Programming in Java","Rice University","Intermediate",15.4,4.45,"https://www.coursera.org/learn/distributed-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8.  Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications.  By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading.\\n\\nWhy take this course?\\n\\n•\\tAll data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency.\\n•\\tIn addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tDistributed map-reduce programming in Java using the Hadoop and Spark frameworks\\n•\\tClient-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces\\n•\\tMessage-passing programming in Java using the Message Passing Interface (MPI)\\n•\\tApproaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming\\n\\nMastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future  (e.g., in Scala or C++).","unified parallel c; computer programming; distributed computing; parallel computing; message passing; spmd; mapreduce; multicast; apache kafka; concurrent computing","Parallel, Concurrent, and Distributed Programming in Java",3.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","7.6 - 24.2","NA","English","computer-science","software-development","vD3GUIAsEeaztxKMUHWbjQ"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Foundations","Google Cloud","Beginner",9.2,4.71,"https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Foundations,\" you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\nNote: Those seeking an abbreviated overview of Kubernetes may want to consider Getting Started with Google Kubernetes Engine.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","cloud platforms; devops; integration testing; cloud computing; control plane; google cloud platform; euler's totient function; data clustering algorithms; google; kubernetes","Architecting with Google Kubernetes Engine",2.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","5.1 - 11.1","Japanese; German; Portuguese; Spanish; French","English","computer-science","software-development","aOin7ERUEemzhg5D25f0SA"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Workloads","Google Cloud","Beginner",17.7,4.66,"https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Workloads,\" you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google cloud platform; data clustering algorithms; kubernetes; google; expectation maximization algorithm; workload; load balancing; cloud computing; integration testing; load balancing (computing)","Architecting with Google Kubernetes Engine",3.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","10.2 - 21.6","French; Spanish; German; Japanese","English","computer-science","software-development","rbvN305_EemdyRKorlakmA"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Production","Google Cloud","Beginner",8.9,4.68,"https://www.coursera.org/learn/deploying-secure-kubernetes-containers-in-production","In this course, \"Architecting with Google Kubernetes Engine: Production,\" you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using GCP managed storage and database services from within GKE.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","table of keyboard shortcuts; google cloud platform; cloud computing; identity management; cloud storage; access control; database; google; kubernetes; role-based access control","Architecting with Google Kubernetes Engine",4.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","5.2 - 10.9","Portuguese; Spanish; German; French; Japanese","English","computer-science","software-development","zi4UCE5_Eem0lhKc4vCNig"]
["2. Upskill","Natural Language Processing","Sequence Models for Time Series and Natural Language Processing","Google Cloud","Advanced",32.7,4.27,"https://www.coursera.org/learn/sequence-models-tensorflow-gcp","This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.\\n\\n• Predict future values of a time-series\\n• Classify free form text\\n• Address time-series and text problems with recurrent neural networks\\n• Choose between RNNs/LSTMs and simpler models\\n• Train and reuse word embeddings in text problems\\n\\nYou will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","long short-term memory; tensorflow; time series; natural language processing; integration testing; artificial neural network; p′′; document classification; statistical classification; natural language","Advanced Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","8.5 - 49","NA","English","data-science","machine-learning","7sNP37xrEeiL4Q6DgrZ6DA"]
["2. Upskill","Natural Language Processing","Natural Language Processing in TensorFlow","deeplearning.ai","Beginner",8.8,4.5,"https://www.coursera.org/learn/natural-language-processing-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","natural language processing; long short-term memory; p′′; tensorflow; natural language generation; omega language; generation; language; keras; natural language","TensorFlow in Practice",3.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","4.2 - 10.9","Korean","English","data-science","machine-learning","eWdF_oGHEemfwRIsGCa-_A"]
["2. Upskill","Product Lifecycle","Brand and Product Management","IE Business School","Beginner",13.0,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","marketing; brand; architecture; brand architecture; product management; product; brand engagement; management; product (business); brand management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","7 - 17.3","Korean; Chinese; Vietnamese; Mongolian","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Lifecycle","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product (business); agile management; Planning; lean startup; product/market fit; product management; product planning; product strategy; product","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.2 - 21.3","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["2. Upskill","Product Lifecycle","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","project plan; risk; risk management; project; project management; management; analysis; project planning; Planning; plan","Non Specialization","Non Specialization","Non Specialization","Non Specialization","7 - 13.7","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["2. Upskill","Product Lifecycle","Initiating and Planning Projects","University of California, Irvine","Beginner",7.4,4.64,"https://www.coursera.org/learn/project-planning","The courses in the Introduction to Project Management Principles and Practices Specialization are a recommended precursor to UCI's Applied Project Management Certificate. \\n\\nSuccessful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the key characteristics of a project\\n2.       Identify primary project constraints\\n3.       Define the role and responsibilities of the project manager\\n4.       Identify Project Organizational Structures\\n5.       Understand the definition of a Project Stakeholder\\n6.       Identify project stakeholders\\n7.       Identify information needs of the project stakeholders\\n8.       Define responsibility for managing stakeholder and controlling stakeholder engagement\\n9.       Define the purpose of using a project charter\\n10.     Summarize the key elements of a project plan\\n11.     Identify common sources of conflict within a project environment\\n12.     Describe the difference between authority and influence","project stakeholder; project plan; plan; project; communication; project planning; management; Planning; project management; project charter","Project Management & Other Tools for Career Development",1.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","4 - 9.2","Catalan; Thai; Arabic; Vietnamese; Croatian; Spanish","English","business","leadership-and-management","iRBJm_LREeSplSIACzYDNg"]
["2. Upskill","Product Lifecycle","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","management; budget; Budget Estimation; Planning; cost; schedule; project; project management; schedule (project management); estimation","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","2.7 - 6.3","Thai; Vietnamese; Russian; Arabic","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["2. Upskill","Product Lifecycle","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; marketing mix; marketing plan; management; market (economics); marketing strategy; brand; plan; product (business); product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","8.2 - 16.4","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.54,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","management; agile software development; software development; product (business); software product management; product; finger protocol; agile manifesto; software; product management","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","2.9 - 7.3","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["2. Upskill","Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.1,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","agile software development; unified process; software; scrum (software development); software development process; management; kanban; lean software development; process; software development","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","5.6 - 16.7","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["2. Upskill","Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.6,4.73,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","user story; analysis; software requirements; requirements elicitation; requirements analysis; management; use case; requirements management; software development; software","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","9.6 - 31.9","Greek; Korean","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["2. Upskill","Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.4,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","management; Planning; agile management; risk; software; plan; finger protocol; agile software development; software development; project","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","10.4 - 27.4","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["2. Upskill","Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","software metrics; burn down chart; scrum (software development); finger protocol; project management; software; management; product (business); project; software project management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","5.3 - 17.9","NA","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["2. Upskill","Product Management","Software Product Management Capstone","University of Alberta","Beginner",37.9,4.8,"https://www.coursera.org/learn/software-product-management-capstone","In this six-week capstone course, you will gain practical management experience in a safe, simulated software production setting. You will apply Agile practices and techniques to conquer industry-inspired challenges. Interacting with a realistic client, you will discern what they want and express what they truly need in software requirements to drive software production. Upon completing the capstone, you will be prepared to advance your career as a confident software product management professional.","software project management; agile software development; software; management; product (business); software development; project; product management; finger protocol; project management","Software Product Management",6.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","19.8 - 61.9","Greek","English","computer-science","design-and-product","99SZyjVxEeW6RApRXdjJPw"]
["2. Upskill","Product Marketing","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",27.8,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by changing the roles and practices of both firms and consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 250,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\nThe course was initially launched in 2015, and has been updated in April 2020. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; integration testing; pricing; product (business); digital marketing; marketing mix; pricing strategies; brand; market (economics); marketing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","18.9 - 32.7","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["2. Upskill","Product Marketing","Brand and Product Management","IE Business School","Beginner",13.0,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","marketing; brand; architecture; brand architecture; product management; product; brand engagement; management; product (business); brand management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","7 - 17.3","Korean; Chinese; Vietnamese; Mongolian","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Marketing","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; marketing mix; marketing plan; management; market (economics); marketing strategy; brand; plan; product (business); product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","8.2 - 16.4","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Product Strategy","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",27.8,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by changing the roles and practices of both firms and consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 250,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\nThe course was initially launched in 2015, and has been updated in April 2020. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; integration testing; pricing; product (business); digital marketing; marketing mix; pricing strategies; brand; market (economics); marketing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","18.9 - 32.7","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["2. Upskill","Product Strategy","Brand and Product Management","IE Business School","Beginner",13.0,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","marketing; brand; architecture; brand architecture; product management; product; brand engagement; management; product (business); brand management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","7 - 17.3","Korean; Chinese; Vietnamese; Mongolian","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Strategy","Marketing Mix Fundamentals","IE Business School","Intermediate",11.1,4.5,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","marketing mix; trading; communication; marketing; studentized residual; pricing; Trade Marketing; trademarks; product (business); marketing communications","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","6.2 - 14.3","NA","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["2. Upskill","Product Strategy","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product (business); agile management; Planning; lean startup; product/market fit; product management; product planning; product strategy; product","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.2 - 21.3","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["2. Upskill","Product Strategy","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","marketing; marketing mix; marketing plan; management; market (economics); marketing strategy; brand; plan; product (business); product","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","8.2 - 16.4","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Python Programming","Python for Data Science and AI","IBM","Beginner",24.5,4.51,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.","analysis; data segment; numpy; python syntax and semantics; python programming; python libraries; syntax; computer programming; pandas; semantics","Applied Data Science",1.0,"https://www.coursera.org/specializations/applied-data-science","This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.\\n\\nUpon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","6.1 - 42.8","German; Korean","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["2. Upskill","Python Programming","An Introduction to Interactive Programming in Python (Part 1)","Rice University","Beginner",29.2,4.75,"https://www.coursera.org/learn/interactive-python-1","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch.  Part 1 of this class will culminate in building a version of the classic arcade game \"Pong\".","language; python syntax and semantics; principle; omega language; interactivity; computer programming; python programming; syntax; semantics; programming language","Fundamentals of Computing",1.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","20.6 - 34.8","Arabic; Italian; Russian; Portuguese; Spanish; Korean; Chinese; German","English","computer-science","software-development","n2zunIlgEeWSMw6QLoDNsQ"]
["2. Upskill","Python Programming","An Introduction to Interactive Programming in Python (Part 2)","Rice University","Beginner",24.5,4.89,"https://www.coursera.org/learn/interactive-python-2","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack.  Part 1 of this class will culminate in building a version of the classic arcade game \"Asteroids\".  Upon completing this course, you will be able to write small, but interesting Python programs.  The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs.","social media marketing; syntax; interactive computing; semantics; python syntax and semantics; computer programming; interactive programming; object-oriented programming; python programming; interactivity","Fundamentals of Computing",2.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","16.9 - 33.1","Korean; Turkish; Chinese","English","computer-science","software-development","uh_Pun3OEeW-FwqtbgSK1Q"]
["2. Upskill","Python Programming","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.6,4.83,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","opencv; indentation (typesetting); c++; Data Science; object-oriented programming; django (web framework); sorting; computer programming; euler's totient function; python programming","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","12.8 - 31.3","Vietnamese; Korean","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["2. Upskill","Python Programming","Data Collection and Processing with Python","University of Michigan","Beginner",15.5,4.64,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","python programming; list & label; representational state transfer; json; application programming interfaces; web api; web; list comprehension; data collection; computer programming","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","7.8 - 19.6","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["2. Upskill","Python Programming","Python Classes and Inheritance","University of Michigan","Beginner",13.5,4.71,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","unit testing; opencv; django (web framework); software engineering; object-oriented programming; continuous function; inheritance (object-oriented programming); python programming; class (computer programming); computer programming","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","6.6 - 18","NA","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["2. Upskill","Software Architecture","Software Architecture","University of Alberta","Advanced",14.9,4.29,"https://www.coursera.org/learn/software-architecture","The way that software components — subroutines, classes, functions, etc. —  are arranged,  and the interactions between them, is called architecture. In this course you will study the ways these architectures are represented, both in UML and other visual tools. We will introduce the most common architectures, their qualities, and tradeoffs. We will talk about how architectures are evaluated, what makes a good architecture, and an architecture can be improved. We'll also talk about how the architecture touches on the process of software development.\\n\\nIn the Capstone Project you will document a Java-based Android application with UML diagrams and analyze evaluate the application’s architecture using the Architecture Tradeoff Analysis Method (ATAM).\\n\\nAfter completing this course, you will be able to: \\n• Compare and contrast the components, connections, protocols, topologies, constraints, tradeoffs, and variations of different types of architectural styles used in the design of applications and systems (e.g., main program and subroutine, object-oriented, interpreters, pipes and filters, database centric, event-based).\\t\\n• Describe the properties of layered and n-tier architectures.\\t\\n• Create UML ipackage, component, and deployment diagrams to express the architectural structure of a system.\\t\\n• Explain the behaviour of a system using UML activity diagrams.\\t\\n• Document a multi-application system with a layered architecture.","software design; non-functional requirement; software architecture; microservices; software; software engineering; unified modeling language; implicit invocation; architecture; topology","Software Design and Architecture",3.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","8.2 - 22.3","NA","English","computer-science","software-development","07aYjGy8EeeB2gpod3ECDg"]
["2. Upskill","Software Architecture","Service-Oriented Architecture","University of Alberta","Advanced",12.3,4.42,"https://www.coursera.org/learn/service-oriented-architecture","Based on an understanding of architectural styles, you will review architectures for web applications, then explore the basics of Service-Oriented Architecture (SOA) in two approaches: Web Services (WS*) and Representational State Transfer (REST) architecture. \\n\\nIn the Capstone Project you will connect a Java-based Android application with Elasticsearch, a web service with a REST application programmer interface (API).\\n\\nAfter completing this course, you will be able to: \\n• Describe SOA (Service-Oriented Architecture) to structure web-based systems.\\n• Explain WS* services (i.e., SOAP over HTTP, WSDL, UDDI, BPEL).\\t\\n• Apply REST architecture (i.e., JSON over HTTP, URI).\\t\\n• Identify REST design principles.\\t\\n• Create a system using REST interfaces.\\t\\n• Apply microservice architecture.","service-oriented architecture; application programming interfaces; soap (protocol); architecture; web service; web services description language; hypertext transfer protocol; web; microservices; representational state transfer","Software Design and Architecture",4.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","6 - 18","NA","English","computer-science","software-development","ZLc4IHCQEee-hhK9f0kJ5A"]
["2. Upskill","User Experience","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","industrial design; interaction design; user research; human computer interaction; experience; map; user experience design; interview; user experience; persona (user experience)","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","6.9 - 12","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["2. Upskill","User Experience","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.8,4.61,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","graphic design; experience; graphics; user interface; java annotation; user experience; user interface design; design pattern; user experience design; interfaces","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","10.6 - 18.1","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["2. Upskill","User Experience","UX Design Fundamentals","California Institute of the Arts","Intermediate",21.9,4.75,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","experience; user experience design; web design; human computer interaction; site map; user interface design; graphic design; adobe photoshop; user interface; user experience","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","14.2 - 26.2","NA","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["2. Upskill","User Experience","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",19.6,4.74,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","information architecture; user interface; user experience; architecture; site map; user interface design; graphic design; adobe photoshop; web design; xml","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","10 - 24.6","NA","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["2. Upskill","User Experience","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",23.7,4.85,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user experience; adobe photoshop; user experience design; interaction design; typography; web design; graphic design; user interface design; website wireframe; user interface","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","12 - 31","NA","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["2. Upskill","User Research","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.6,4.68,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","integration testing; human computer interaction; interactive design; user experience; a/b testing; design rationale; interaction design; user research; gulf of execution; user experience design","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","12.8 - 37.2","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["2. Upskill","User Research","UX (User Experience) Capstone","University of Michigan","Advanced",12.4,4.35,"https://www.coursera.org/learn/user-experience-capstone","In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product.\\n\\nYou will:\\n    Learn how to design and carry out an integrated multi-phase user experience research and design project\\n    Gain experience conducting user experience research in a real-world setting\\n    Gain hands-on experience with a realistic UX design project\\n    Improve ability to communicate design concepts and actionable research findings.","user research; interactive design; user experience; user experience design; kofax; experience; human computer interaction; heuristic evaluation; integration testing; stock market","User Experience Research and Design",6.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","4.8 - 16.6","NA","English","computer-science","design-and-product","YtJlYdCvEeifjQp217MoCg"]
["2. Upskill","User Research","Introduction to UI Design","University of Minnesota","Beginner",22.8,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","java annotation; user interface design; interfaces; experience; evaluation; user interface; principle; user experience; usability; design theory","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","13 - 35.5","NA","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["2. Upskill","User Research","User Research and Design","University of Minnesota","Beginner",13.4,4.5,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","categorization; i-deas; user interface; social network; inheritance (object-oriented programming); user research; user experience; contextual inquiry; persona (user experience); user interface design","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","9.4 - 15.3","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["2. Upskill","User Research","Evaluating User Interfaces","University of Minnesota","Intermediate",20.1,4.67,"https://www.coursera.org/learn/ui-testing","In this course you will learn and practice several techniques for user interface evaluation.  First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation.  Then we move on to user testing, including learning from a series of usability tests carried out in a real usability lab, and techniques to carry out your own tests even without a lab.  Finally, we wrap up the discussion of evaluation--and of UI Design in the specialization as a whole--by looking at the question of how to set and measure usability goals, and in turn, when a design is usable enough to release it.","usability; cognitive walkthrough; heuristic evaluation; user interface design; user experience; user interface; usability goals; user research; usability testing; usability lab","User Interface Design",4.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","13.5 - 30.1","NA","English","computer-science","design-and-product","Jj0UJjyrEeanIg6YknlKvw"]
["2. Upskill","Data Analysis","Financial Accounting: Foundations","University of Illinois at Urbana-Champaign","Intermediate",15.2,4.71,"https://www.coursera.org/learn/financial-accounting-basics","In this course, you will learn foundations of financial accounting information. You will start your journey with a general overview of what financial accounting information is and the main financial statements. You will then learn how to code financial transactions in financial accounting language. In the meantime, you will learn about the most important concept in contemporary financial accounting: accrual accounting. You will then critically analyze how firms recognize revenues. Finally, you will finish the course with an analysis of accounting for short-term assets where you will go into detail on how firms account for accounts receivables and inventories. \\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand main financial statements and the financial information they provide\\n•\\tWrite a financial transaction in financial accounting language and understand how this impacts main financial statements\\n•\\tUnderstand how accrual accounting and fundamental accounting concepts work\\n•\\tUnderstand revenue recognition principles and how they impact main financial statements\\n•\\tAccount for accounts receivables and inventories.  \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","balance sheet; financial statement; finance; basis of accounting; financial accounting; accrual; inventory; income statement; accounting; income","Financial Management",1.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","8.5 - 17.7","NA","English","business","finance","6K8l2CwFEeaU1xK12iolBQ"]
["2. Upskill","Data Analysis","Introduction to Accounting Data Analytics and Visualization","University of Illinois at Urbana-Champaign","Beginner",41.5,4.83,"https://www.coursera.org/learn/intro-accounting-data-analytics-visual","Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.\\n \\nWe’ve divided the course into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be  completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results.\\n \\nIn the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations.\\n \\nIn the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create effective visualizations. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We introduce Visual Basic for Applications  as an example of a programming language, and the Visual Basic Editor as an example of an integrated development environment (IDE).","financial accounting; management accounting; accounts payable; data analysis; accounts receivable; accounting software; business analytics; r programming; accounting; audit","Non Specialization","Non Specialization","Non Specialization","Non Specialization","29.9 - 50","NA","English","data-science","data-analysis","Cps4A4vKEemLgQoNkRJJng"]
["2. Upskill","Generally Accepted Accounting Principles (GAAP)","Auditing II: The Practice of Auditing","University of Illinois at Urbana-Champaign","Advanced",25.1,4.65,"https://www.coursera.org/learn/auditing-part2-the-practice","This course provides a continuation of the intensive conceptual and applied introduction to auditing in society begun in Auditing I: Conceptual Foundations of Auditing. It focuses on a conceptual framework that is applied by audit professionals to assess, evaluate, and manage audit risks and evidence.","information technology audit; detection risk; analytical procedures (finance auditing); financial auditing; management assertions; slotting fee; audit; financial audit; internal audit; risk based internal audit","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13.5 - 38.9","NA","English","business","business-essentials","VVX5tvcOEee3uhJW7jRYrg"]
["2. Upskill","Generally Accepted Accounting Principles (GAAP)","Auditing I: Conceptual Foundations of Auditing","University of Illinois at Urbana-Champaign","Advanced",32.5,4.41,"https://www.coursera.org/learn/auditing-part1-conceptual-foundations","This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors’ professional responsibilities as well as major facets of the audit process including risk assessment and audit reporting. In the U.S. financial-statement audits and related services generally are provided by Certified Public Accountants (CPAs). To succeed in this course, you should anticipate engaging in critical thinking and thoughtful communication about audit professionals' decision environments, decision processes, and deliverables. Additionally, you should understand the macro-level learning objectives in each of the course's weekly modules.","center for audit quality; risk assessment; quality audit; internal audit; accounting; audit; financial audit; internal control; financial statement; financial auditing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","17.7 - 37.4","NA","English","business","business-essentials","RqpO5PZcEeeLtRL2HSwRMA"]
["2. Upskill","Business Transformation","Digital Transformation","University of Virginia","Intermediate",19.3,4.75,"https://www.coursera.org/learn/bcg-uva-darden-digital-transformation","Digital transformation is a hot topic--but what exactly is it and what does it mean for companies? In this course, we talk about digital transformation in two ways. First we discuss the pace of change and the imperative it creates for businesses. Next we provide the context for this transformation and what it takes to win in the digital age. Then we walk through BCG's proprietary framework, which helps you identify key areas to digitize, including strategy, core processes, and technology.\\n\\nBy the end of this course, you'll be able to:\\n--describe the underlying economics of innovation, technology, and market disruptions\\n--weigh the pros and cons of current digital technologies driving advancement\\n--utilize BCG's digital transformation framework as a \"\"how-to\"\" for digitizing your organization","Business Strategy; management; business transformation; blockchains; disruptive innovation; strategic thinking; digital strategy; innovation; business ecosystem; technology strategy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12.2 - 26.4","Korean; Spanish; Vietnamese; Arabic","English","business","leadership-and-management","rHl0JnJFEeenOwpmZ1LH1g"]
["2. Upskill","Business Transformation","AI For Everyone","deeplearning.ai","Beginner",8.1,4.84,"https://www.coursera.org/learn/ai-for-everyone","AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. \\n\\nIn this course, you will learn:\\n\\n- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science\\n- What AI realistically can--and cannot--do\\n- How to spot opportunities to apply AI to problems in your own organization\\n- What it feels like to build machine learning and data science projects\\n- How to work with an AI team and build an AI strategy in your company\\n- How to navigate ethical and societal discussions surrounding AI\\n\\nThough this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.","project; artificial intelligence; machine learning; management; Planning; ethics; deep learning; learning; integration testing; artificial neural network","Non Specialization","Non Specialization","Non Specialization","Non Specialization","4.9 - 9.6","French; Japanese; Chinese; Arabic; Thai; Spanish","English","business","business-strategy","daG-a-O1EeijKBISCWxf6g"]
["2. Upskill","Organizational Development","Managing the Organization","University of Illinois at Urbana-Champaign","Intermediate",13.5,4.6,"https://www.coursera.org/learn/managing-organization","This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations.  In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to.  We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges.  Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership.  As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.","organizational culture; human resources; leadership; senior management; decision-making; bias; organizational structure; management; organization design; organizational life cycle","Strategic Leadership and Management",4.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","7.9 - 15.8","NA","English","business","leadership-and-management","7dtPpZz9EeWoKRLkmmHLTQ"]
["2. Upskill","Organizational Development","Designing the Organization","University of Illinois at Urbana-Champaign","Intermediate",16.3,4.55,"https://www.coursera.org/learn/designing-organization","Organizations are complex and can be difficult to manage well.  So managers need tools to help them better understand and deal with the many complexities and challenges associated with organizational life.  In this course, you will learn theories, principles, and frameworks that will help you to design more effective organizations.  We will view organizations from different perspectives that we will use as lenses to help us bring common organizational challenges, and solutions to those challenges, into focus.  Some of these common challenges include clarifying the organization’s purpose, setting up effective governance systems, measuring organizational effectiveness, choosing an appropriate organizational structure, dealing with growing pains, and responding to changes outside the organization.  As you learn and apply the principles from this course, you will be better prepared to effectively navigate the challenges that you face in your own organization.","organizational theory; learning; corporate bond; management; corporate governance; organizational structure; strategic management; externality; business model; organization design","Strategic Leadership and Management",3.0,"https://www.coursera.org/specializations/strategic-leadership","Enhance leadership and business skills for immediate impact. Practice everyday leadership, manage people, learn and apply concepts and techniques to effectively manage organizations through organizational design, and formulate and implement strategy.\\n\\nThrough the courses in this specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses.\\n\\nThe capstone is a strategic leadership and management plan where you’ll apply what you will learn to an actual business situation with participation by one or more focal companies. The deliverable will be designed to create value from the perspective of potential employers while achieving pedagogical and experiential goals for learners.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","9.6 - 18.8","NA","English","business","leadership-and-management","yEfdpZz9EeWlGQ5Xb9b0kw"]
["2. Upskill","Writing","Writing Skills for Engineering Leaders","Rice University","Advanced",17.3,4.62,"https://www.coursera.org/learn/engineering-writing","Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader. You’ll learn key principles in\\n•\\tApproaching various engineering genres\\n•\\tUsing the writing process to create quality documents\\n•\\tMaking your writing structured\\n•\\tMaking your writing clear and concise\\n•\\tHandling style, tone, and voice\\n\\nSelected materials courtesy of Communication Faculty at Rice University - all rights reserved.","wordpress; emailing; organizing (management); concision; plan; writing; leadership; communication; engineering management; documents","Communication Skills for Engineers",3.0,"https://www.coursera.org/specializations/leadership-communication-engineers","Build a toolkit of communication skills that will give you the knowledge and confidence to be an effective engineering leader.\\n\\nEngineers who want to advance in their profession need to be effective communicators. They need to clearly communicate complex ideas and technical project plans. They also need to be strong persuaders. Engineers who are good communicators get recognized by their supervisors and by their clients.\\n\\nIn this three-course Specialization, you will practice designing and giving strong, persuasive presentations; you will learn how to communicate across cultures, genders, and generations, how to create your personal brand and leadership presence, how to hold effective meetings with global teams; you will learn how to handle difficult conversations, and how to handle crisis communication; you will also learn writing skills immediately applicable in your daily activities. Courses are taught by faculty from the Rice Center for Engineering Leadership (RCEL). RCEL is focused on developing engineering leaders at the Rice University’s George R. Brown School of Engineering. It is home to one of a very few academically approved Certificates in Engineering Leadership.","9.3 - 29.1","Arabic","English","business","leadership-and-management","6sk543Q6EeaRqAobOpNSMQ"]
["2. Upskill","Writing","Advanced Writing","University of California, Irvine","Intermediate",14.6,4.69,"https://www.coursera.org/learn/advanced-writing","Course 3: Advanced Writing\\n\\nThis is the third course in the Academic English: Writing specialization.  By raising your level of academic writing, this course helps prepare you for college-level work.\\n\\nAfter completing this course, you will be able to: \\n - plan and write a more sophisticated argument essay\\n - identify plagiarism and explain how to prevent it\\n - read and analyze several articles to form your own opinion on a topic\\n - make connections between several articles\\n - form thesis statements from your readings\\n - use sources effectively when writing an essay\\n\\nPlease note that the free version of this class gives you access to all of the instructional videos and handouts. The peer feedback and quizzes are only available in the paid version.","creative writing; academic writing; essay writing; english grammar; english language; writing; grammar; critical thinking; editing; quotation","Academic English: Writing",3.0,"https://www.coursera.org/specializations/academic-english","The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.","9.3 - 17.6","Arabic; Spanish; German; Chinese; Hindi; Vietnamese","English","language-learning","learning-english","5c9BeiTUEeW3AhKilvRZ0Q"]
["2. Upskill","Innovation","Innovation Management","Erasmus University Rotterdam","Beginner",17.2,4.64,"https://www.coursera.org/learn/innovation-management","What is innovation management? How do firms bring in new business models and get new products and services to the market? Go on a nine-week journey through innovation management concepts, theories of idea generation, selection, strategy formulation and implementation in this MOOC in Innovation Management. In it, you will also learn the tools for implementing innovation projects yourself. \\n\\nGuided by world-class academics, you will develop an innovative mindset and expertise in how firms successfully create new ideas for marketing new products. The syllabus also includes sessions about innovation strategy, idea management and social networks.\\n\\nDuring this course, you will learn how to:\\n•\\tuse the main innovation management terminology and concepts\\n•\\texplain the adoption life cycle and innovation adoption at the individual level\\n•\\tdefine creativity and explain how creativity can be stimulated\\n•\\trecognise and describe three types of idea management systems\\n•\\texplain what an innovation strategy is and why it is important\\n•\\tdescribe what a product portfolio is \\n•\\texplain how innovation projects should be selected and managed\\n•\\texplain the importance of teams, team structures and networks for innovation.\\n\\nRotterdam School of Management, Erasmus University (RSM) is one of Europe’s leading business schools, and ranked among the top three for research. RSM’s primary focus is on developing business leaders with international careers who carry their innovative mindset into a sustainable future. Go to www.rsm.nl for more information.\\n\\nThis nine-week MOOC in Innovation Management is taught in English. There is no fee to participate in the programme.","product; Creativity; innovation management; disruptive innovation; product (business); management; project; i-deas; social network; innovation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","11.9 - 19.5","Vietnamese","English","business","business-strategy","_3l2SpONEeW2aQ7olstw0Q"]
["2. Upskill","Innovation","Strategic Innovation: Managing Innovation Initiatives","University of Illinois at Urbana-Champaign","Advanced",14.9,4.71,"https://www.coursera.org/learn/strategic-innovation-innovation-at-the-frontier","You may have noticed that what is new often behaves differently than what has become accepted over time, whether it is in a market, or a technology, or involves people and firms.  Much research supports these general ideas, and this course builds on them to help you develop a perspective on managing innovation.  That is, you will build your capability to lead and design your organization in effectively implementing innovation initiatives and achieving their strategic intent.  \\n\\nTo do this, you will learn a set of frameworks, tools, and concepts that can help you address several important challenges in managing innovation.  The first challenge regards how to successfully implement innovation efforts within established firms and alongside established businesses.  You then investigate the particulars of managing innovation when disruptive technologies are involved.  Other topics include leadership of new product development teams, planning and evaluation of innovation initiatives, and management of innovation across organizational boundaries, as happens with alliances or virtual firms.","market (economics); management; product development; innovation; entrepreneurship; evaluation; corporate bond; Planning; innovation management; grow","Innovation: From Creativity to Entrepreneurship",2.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","8.3 - 16.8","NA","English","business","marketing","nW1dUu13Eea2mxLTB28_VA"]
["2. Upskill","Innovation","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.1,4.8,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","value proposition; product (business); management; customer experience; business model; innovation management; customer; innovation; product; modeling","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","9.1 - 16.9","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["2. Upskill","Market Research","Research Proposal: Initiating Research","University of California, Davis","Beginner",11.2,4.43,"https://www.coursera.org/learn/research-proposal-initiating-research","Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.\\n\\nIn this course, you will be able to define market research and identify some tools used in the industry. You will be able to discuss the importance of secondary and internal research in terms of the planning process. You will be able to define what primary research is and identify the various ways to conduct primary research. You will be able to focus on an actual research plan or proposal for your peer review project. You will be able to compose a response to a request for a proposal or research plan and be able to address the various components of the proposal and package it in a professional manner.","marketing research; market (economics); quantitative marketing research; internality; plan; secondary research; market research; primary research; international relations; Proposal Writing","Market Research",1.0,"https://www.coursera.org/specializations/market-research","Finding the Story in the Data” is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data.\\n\\nStudents will learn how to initiate a research project for targeted business needs, conduct research through multiple modes and datasets, analyze research data, manage suppliers performing specialized research, and deliver recommendations from the research. By the end of the specialization, learners will create and scope a research proposal, conduct desk research, design and test a focus group guide, interpret focus group results, design and implement a survey in Qualtrics, analyze quantitative data, develop insights by synthesizing findings across research methods, create data visualizations in Excel, and develop a presentation of findings with recommendations to stakeholders","6.4 - 13.4","Arabic","English","business","marketing","vq2XwnQ-EeWLqw7zlLhRzQ"]
["2. Upskill","Market Research","Qualitative Research","University of California, Davis","Beginner",12.8,4.37,"https://www.coursera.org/learn/qualitative-research","In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis.\\n\\nWeek 1: Define qualitative research and how it differs from quantitative research. Explore the various qualitative research methods and evaluate when and how to use them for your research project.\\n\\nWeek 2: Design the qualitative instruments necessary for your interviews or focus groups, and plan your recruitment efforts. Write questions and prompts to ask in an interview or focus group. Design a moderator guide and a screening questionnaire to use when recruiting your participants.\\n\\nWeek 3: Recruit participants for your focus group and apply techniques to ensure they show up and participate. Act as a moderator during your focus group and apply strategies to handle various types of situations. Probe responses and engage participants in a group discussion, while collecting qualitative data and keep the discussion moving.\\n\\nWeek 4: Organize and analyze the data you have collected. Transcribe the audio from your focus group or interview and interpret your notes. Write a focus group report that can be presented to your stakeholders and see how this information might relate to your quantitative research.  \\n\\nTake Qualitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the first course in this specialization, Research Report: Initiating Research, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.","communication; plan; writing; Recruiting; market research; market (economics); qualitative research; focus group; interpretation; marketing research","Market Research",2.0,"https://www.coursera.org/specializations/market-research","Finding the Story in the Data” is the most important emerging capability for market researchers according to GRIT (Greenbook Research Industry Trends) Report 2016. This specialization, designed for learners with no previous Marketing Research experience teaches a comprehensive marketing research approach that will help learners find and communicate the story in the data.\\n\\nStudents will learn how to initiate a research project for targeted business needs, conduct research through multiple modes and datasets, analyze research data, manage suppliers performing specialized research, and deliver recommendations from the research. By the end of the specialization, learners will create and scope a research proposal, conduct desk research, design and test a focus group guide, interpret focus group results, design and implement a survey in Qualtrics, analyze quantitative data, develop insights by synthesizing findings across research methods, create data visualizations in Excel, and develop a presentation of findings with recommendations to stakeholders.        5.7        17.9        [NULL]        English        business        marketing        wpuvI4QzEeaT3g7PD2zpfw        174        2        2017-09-05        22","5.7 - 17.9","NA","English","business","marketing","wpuvI4QzEeaT3g7PD2zpfw"]
["2. Upskill","BlockChain","Blockchain and Cryptocurrency Explained","University of Michigan","Beginner",7.9,4.94,"https://www.coursera.org/learn/crypto-finance","The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.\\n\\nIn this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.\\n\\nWe then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.\\n\\nFinally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.","financial technology; mobile payments; capital market line; payment systems; bitcoin; blockchains; cryptocurrency; financial markets; business; cryptography","Financial Technology (Fintech) Innovations",2.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","4.9 - 10","NA","English","business","finance","xx4YPdr9EemZYA6RFvxeDg"]
["2. Upskill","BlockChain","Blockchain 360: A State of the Art for Professionals","EIT Digital","Intermediate",8.2,4.43,"https://www.coursera.org/learn/blockchain-professionals","If you want to know more about blockchain, then  this course is for you. Business is currently dealing intensively with digitisation. Blockchain has a major impact on the design and implementation of digital business processes in many application areas such as Internet of Things, the Smart Grid, supply chain and many more. In this MOOC you will learn the basics of blockchain technology as well as many examples of best practice business applications. This MOOC is part of a blended learning programme, developed by Fraunhofer and EIT Digital, with a two day course in Germany to get more in-depth knowledge.","digitizing; ecosystem; adoption; financial technology; entry point; blockchains; internet of things; energy; content management system; content management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","1.9 - 10.1","NA","English","business","leadership-and-management","u74cN8A4Eei5JRLPu4lZTA"]
["2. Upskill","BlockChain","Introduction to Blockchain Technologies","INSEAD","Beginner",17.9,4.73,"https://www.coursera.org/learn/introduction-blockchain-technologies","In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem. You’ll be able to describe seven design principles for blockchain technology, and the challenges facing the people developing it. You’ll also meet the players in the blockchain ecosystem, and consider your own role in stewarding the blockchain revolution.","cryptocurrency; managerial economics; evaluation; blockchains; bitcoin network; bitcoin; insead; proof-of-work system; smart contract; ethereum","Blockchain Revolution",1.0,"https://www.coursera.org/specializations/blockchain-revolution-enterprise","Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand.\\n\\nThis four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem.\\n\\nAdditionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.","9 - 32.3","Portuguese","English","business","business-essentials","gVpG7_yEEeijdwpv8TGaaA"]
["2. Upskill","Risk Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","project; project management; change control; management; communication; project risk management; plan; risk; change management; risk management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","2.1 - 5.6","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["2. Upskill","Risk Management","Portfolio and Risk Management","Indian School of Business","Intermediate",14.7,4.31,"https://www.coursera.org/learn/portfolio-management","This course teaches you the concepts of risk and expected return. This course presents an overview of the basic concepts and techniques used to construct financial portfolios. You will learn about the investment process and get a very good understanding of economic, industry, and company analyses. We will also look at understanding and interpreting major portfolio management and risk concepts. Through this course, you will discover the basic concepts of Modern Portfolio Theory. \\n\\nIn the second half of the course we explore the frameworks to measure investment performance, as well as the various measures of investment performance. Finally, you will learn how to measure performance of equity, bonds and hedge funds. After completing this course, you will be able to appreciate the details that go into the creation of investment portfolios.","risk management; market (economics); market portfolio; investment; risk; management; financial markets; stock market; india; security analysis","Financial Markets and Investment Strategy",2.0,"https://www.coursera.org/specializations/investment-strategy","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","7.2 - 20.2","NA","English","business","finance","SGiLw7UgEeWbLRJn4j8c4Q"]
["2. Upskill","Leadership Development","International Leadership and Organizational Behavior","Università Bocconi","Beginner",16.9,4.72,"https://www.coursera.org/learn/organizational-behavior","Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context. \\n\\nIn this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.\\n\\nLearning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?\\n\\nIf you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.\\n\\nWe are looking forward to welcoming you and supporting you on this journey of learning and discovery. \\n\\nCOURSE SYLLABUS\\nWeek 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership. \\nWeek 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence. \\nWeek 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.\\nWeek 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.\\nWeek 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.\\nWeek 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.\\n\\nThanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.\\n\\nRECOMMENDED BACKGROUND\\nAll are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.","organizational conflict; leadership development; social network; conflict resolution; leadership; cross-cultural communication; communication; motivation; management; intercultural communication","Non Specialization","Non Specialization","Non Specialization","Non Specialization","10 - 20.6","Arabic","English","business","leadership-and-management","33tTdzylEeWpogr5ZO8qxQ"]
["2. Upskill","Change Management","Leading transformations: Manage change","Macquarie University","Advanced",10.9,4.71,"https://www.coursera.org/learn/change-management","We live in a globalised world of continuous change. Your ability to successfully manage change will allow you to have a positive impact on your work and your life. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessment) this course will teach you how to effectively influence change by developing a ‘change mindset’, creating a productive change cycle, and leading yourself and others on the change journey. You will learn how to re-imagine change by redefining the change problem and developing a balanced and reflective change mindset. Change is inevitable but you can influence how it affects your organisation.","management; performance; training and development; plan; presentation; storytelling; evaluation; public speaking; corporate governance; change management","Influencing: Storytelling, Change Management and Governance",1.0,"https://www.coursera.org/specializations/influencing-storytelling-change-management","The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the audience, construct a good narrative and inspire the audience to act (Communicate with Impact). They must learn to design and negotiate both informal and complex agreements, and do this in diverse workplace cultures (Negotiate and Resolve Conflict).\\n\\nThe Specialization applies influencing methods in two areas of great importance: change management and risk governance. Successful change management eludes many individuals and organizations, so we propose a new approach to enable you to inspire and lead transformations (Manage Change). Similarly, in the post-financial crisis environment, many organizations acknowledge the need for effective risk governance but few, if any, have achieved it. We present evidence-based methods that will help your organization achieve its objectives (Engage the Board).","4.5 - 13.5","NA","English","business","leadership-and-management","reFNTKW0Eeis9hK3qadDqA"]
["2. Upskill","Brand Management","Brand Management: Aligning Business, Brand and Behaviour","University of London","Intermediate",24.4,4.87,"https://www.coursera.org/learn/brand","Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding - where brands are a visual identity and a promise to customers - to brands as a customer experience delivered by the entire organisation. The course offers a brand workout for your own brands, as well as guest videos from leading branding professionals. \\n\\nThe aim of the course is to change the conception of brands as being an organisation's visual identity (e.g., logo) and image (customers' brand associations) to an experience along \"moments-that-matter\" along the customer journey and, therefore, delivered by people across the entire organisation. Brands are thus not only an external promise to customers, but a means of executing business strategy via internal brand-led behaviour and culture change.\\n\\nYou will learn and practice the following skills:\\n\\n1.\\tHow to build brands from a broad organisational perspective \\n2.\\tHow to lead brand-led culture change with human resource practices at the core (i.e., brand as a lever and not just an outcome) \\n3.\\tHow to build brands in multi-brand companies, across cultures and geographies\\n4.\\tHow to measure brand health in new ways, that is, internally in addition to externally\\n5.\\tHow to value and capture returns to brands across the organisation - introducing the new concept of employee-based brand equity - and how this is different from the valuation of brands as intangible assets. \\n\\nThis course allows you to develop the following aspects of yourself:\\n\\n1.\\tHead. Gain a deeper understanding of the evolving practice of brand management, one that goes further than practiced in most organisations today\\n2.\\tHeart. Be motivated to engage in delivering your own brands – regardless of where you are in your organisation – thereby creating superior value for customers and for your organisation\\n3.\\tHands. Translate learnings into action. As Confucius is supposed to have said: “I hear and I forget. I see and I remember. I do and I understand.”","Brand Identity; brand culture; brand marketing; brand; brand management; customer experience; marketing; management; stock; brand equity","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15.9 - 30.5","NA","English","business","entrepreneurship","-8cOpydnEeaTvRKF2VtmxQ"]
["2. Upskill","Brand Management","Brand and Product Management","IE Business School","Beginner",13.0,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","marketing; brand; architecture; brand architecture; product management; product; brand engagement; management; product (business); brand management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","7 - 17.3","Korean; Chinese; Vietnamese; Mongolian","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Digital Marketing","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.1,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","communication; Planning; marketing; market (economics); social media; media market; analytics; marketing strategy; social media marketing; digital marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","8.6 - 17.9","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["2. Upskill","Digital Marketing","Digital Analytics for Marketing Professionals: Marketing Analytics in Theory","University of Illinois at Urbana-Champaign","Beginner",12.8,4.5,"https://www.coursera.org/learn/marketing-analytics","Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","analytics; data analysis; moment of truth (marketing); analysis; web analytics; Analytical Skills; web; marketing analytics; digital marketing; marketing","Digital Marketing",2.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","8.1 - 14.9","NA","English","business","marketing","u_Rrw_tfEeSuiSIACwuNww"]
["2. Upskill","Operations Research","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",10.9,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","operations management; supply chain; lean thinking; six sigma; trigonometric integral; management; inventory; chaining; lean six sigma; stock","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","7 - 13.2","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["2. Upskill","Operations Management","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",20.9,4.52,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","quality control; management; six sigma; chaining; process; operations management; trigonometric integral; supply chain management; supply chain; inventory","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","12.3 - 25.1","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["2. Upskill","Project Management","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","management; budget; Budget Estimation; Planning; cost; schedule; project; project management; schedule (project management); estimation","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","2.7 - 6.3","Thai; Vietnamese; Russian; Arabic","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["2. Upskill","Project Management","Business Metrics for Data-Driven Companies","Duke University","Beginner",13.6,4.53,"https://www.coursera.org/learn/analytics-business-metrics","In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data.\\n \\nYou’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.\\n \\nFinally, you will be able to use a checklist provided in the course to score any company on how effectively it is embracing big data culture. Digital companies like Amazon, Uber and Airbnb are transforming entire industries through their creative use of big data. You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.","data uri scheme; business analysis; management; risk; analysis; business analytics; process; data analysis; business process; analytics","Excel to MySQL: Analytic Techniques for Business",1.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","9.1 - 15.6","Chinese; Arabic; Korean","English","data-science","data-analysis","I5rpKhnoEeWnbwoiFA2iGw"]
["2. Upskill","Project Management","Agile Meets Design Thinking","University of Virginia","Beginner",15.4,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","experience; storyboarding; software development; agile software development; management; design thinking; software; user experience; persona (user experience); user story","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","10.5 - 17.6","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["2. Upskill","Project Management","Managing Project Risks and Changes","University of California, Irvine","Beginner",4.8,4.68,"https://www.coursera.org/learn/project-risk-management","This course will help you manage project risk effectively by identifying, analyzing, and communicating inevitable changes to project scope and objectives. You will understand and practice the elements needed to measure and report on project scope, schedule, and cost performance. You will be equipped with the tools to manage change in the least disruptive way possible for your team and other project stakeholders.\\n\\nUpon completing this course, you will be able to:\\n1.       Define components of a communications management plan\\n2.       Understand the importance of communications channels\\n3.       Define the key elements needed to measure and report on project scope, schedule, and cost performance\\n4.       Identify project risk events\\n5.       Prioritize identified risks\\n6.       Develop responses for a high priority risk\\n7.       Identify and analyze changes to project scope\\n8.       Describe causes and effects of project changes\\n9.       Define the purpose of conducting a lessons learned session","project; project management; change control; management; communication; project risk management; plan; risk; change management; risk management","Project Management & Other Tools for Career Development",2.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","2.1 - 5.6","Thai; Vietnamese; Arabic","English","business","leadership-and-management","L7stsPOKEeSlpiIAC7NwBA"]
["2. Upskill","Project Management","Initiating and Planning Projects","University of California, Irvine","Beginner",7.4,4.64,"https://www.coursera.org/learn/project-planning","The courses in the Introduction to Project Management Principles and Practices Specialization are a recommended precursor to UCI's Applied Project Management Certificate. \\n\\nSuccessful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the key characteristics of a project\\n2.       Identify primary project constraints\\n3.       Define the role and responsibilities of the project manager\\n4.       Identify Project Organizational Structures\\n5.       Understand the definition of a Project Stakeholder\\n6.       Identify project stakeholders\\n7.       Identify information needs of the project stakeholders\\n8.       Define responsibility for managing stakeholder and controlling stakeholder engagement\\n9.       Define the purpose of using a project charter\\n10.     Summarize the key elements of a project plan\\n11.     Identify common sources of conflict within a project environment\\n12.     Describe the difference between authority and influence","project stakeholder; project plan; plan; project; communication; project planning; management; Planning; project management; project charter","Project Management & Other Tools for Career Development",1.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","4 - 9.2","Catalan; Thai; Arabic; Vietnamese; Croatian; Spanish","English","business","leadership-and-management","iRBJm_LREeSplSIACzYDNg"]
["2. Upskill","Procurement","Managing Responsibly: Practicing Sustainability, Responsibility and Ethics","University of Manchester","Beginner",8.7,4.69,"https://www.coursera.org/learn/responsible-management","Managers are increasingly confronted with issues of sustainability, responsibility and ethics. Managing responsibly is an integrative approach to sustainability, responsibility and ethics, which allows you as a manager to deal competently with such challenges. This course will facilitate your learning process to engage in changing practices to make them more sustainable, responsible, and ethically informed.\\n\\nWe will first introduce the context of the trend towards responsible management practices (week 1). We then explore the basics of each set of issues, sustainability (week 2), responsibility (week 3), and ethics (week 4). In week 5 you will work on your own responsible management issue/task and explore responsible management practices in an area of professional interest (e.g. strategy, entrepreneurship, innovation, organization, operations, supply chain, human resources, marketing and communication, international management, accounting and finance). In week 6 we will try to understand and experience what managing responsibly means in practice, including opportunities and challenges, and with a focus on transformative change. During these last two weeks you will work in a problem-oriented way, based on a challenging topic you have come across in your own management practice.\\n\\nIn the course we will form multicultural teams to learn about problems you bring forward. The course also facilitates the formation of peer networks that allow you to continue this learning experience after finishing the MOOC. The MOOC is an initiative in collaboration with the UN-supported Principles for Responsible Management Education (PRME) initiative.\\n\\nOverall Learning Outcomes\\n1) To provide an introduction to the three constituting fields of managing responsibly: sustainability, responsibility and ethics.\\n2) To help apply the knowledge and insights gained from these three fields to real life problems in your own setting.\\n3) To identify, understand and facilitate individual action that can lead to change at the organisational and system level ...to ‘act is to move’\\n4) To learn to appreciate and bring together different points of view, and negotiate collective solutions to pressing problems.\\n\\nWho is this MOOC for? (Recommended Background)\\nWhile this course is primarily designed for executives who want to work on particular responsible management issues and create responsible management practices, also advanced business students will find it helpful.\\n\\nSuggested Readings\\nThere are no specific required texts. However, the contents and assignments of this course have been based on the following book which might be helpful as complementary materials:\\n\\nLaasch, Oliver, and R. Conway (2014). Principles of responsible management: Global sustainability, responsibility and ethics, Cengage Learning: Mason.","corporate bond; management accounting; circular economy; management; management occupations; environmental management; corporate social responsibility; ecology; ethics; sustainability","Non Specialization","Non Specialization","Non Specialization","Non Specialization","7.9 - 12.8","NA","English","business","leadership-and-management","xpe1YMjNEeWQSAqHNmfP4Q"]
["2. Upskill","Strategy","Global Strategy I: How The Global Economy Works","University of Illinois at Urbana-Champaign","Intermediate",16.3,4.85,"https://www.coursera.org/learn/global-strategy","Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were not short of formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not mean political, cultural, and economic convergence and that forces against it are strong.\\n\\nThis course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand how we got here and why it matters\\n•\\tUnderstand the complexities of the current globalization (not all countries are the same)\\n•\\tEvaluate the effects of international trade regulations on international business\\n•\\tEvaluate when and why should we operate as multinationals\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","foreign direct investment; economy; evaluation; trading; Economics; global value chain; emerging markets; forecasting; accounting; competitiveness","Global Challenges in Business",3.0,"https://www.coursera.org/specializations/global-challenges-business","Learning Outcomes for the Specialization:\\n\\nUpon completion of this specialization, you will be able to:\\n\\nUnderstand how businesses function in the global marketplace.\\n\\nMake ethical decisions to run a responsible business in the global marketplace.\\n\\nUnderstand the role of business in addressing global challenges such as poverty and the environment.\\n\\nUnderstand how business can pursue opportunities and confront challenges in the complex global marketplace.","7.2 - 23.6","Arabic","English","business","business-strategy","9LVz3HXtEeaisA57vr8X4Q"]
["2. Upskill","Strategy","Strategic Innovation: Building and Sustaining Innovative Organizations","University of Illinois at Urbana-Champaign","Advanced",15.1,4.8,"https://www.coursera.org/learn/strategic-innovation-building-and-sustaining-innovative-organizations","Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs and capturing value back from consumers.\\n\\nAt the core of a successful innovation strategy is a great product concept. Product is an all-encompassing term that includes physical goods, intangible services, and even ideas. There are three pillars to a successful product strategy: a clear understanding of (a) the target customers (WHO), (b) the specific elements of the product offering (WHAT) that satisfies consumer needs and dovetails with company capabilities, and (c) the tactical plans to reach end consumers (HOW). The value proposition has to be embedded in a coherent business model in order to create and capture value. But well-laid innovation plans can go awry without a consideration of the business ecosystem that includes competitors, collaborators, including suppliers, distributors, and retailers, or the contextual environment in which the company operates. In an interdependent world, fostering an integrated ecosystem is critically important for companies interested in maximizing the odds of innovation success.\\n\\nDrawing from many years of research, this course will offer a set of frameworks, tools, and concepts in order to develop innovative strategies in a holistic way so as to achieve leadership positions.","value proposition; product (business); management; customer experience; business model; innovation management; customer; innovation; product; modeling","Innovation: From Creativity to Entrepreneurship",1.0,"https://www.coursera.org/specializations/innovation-creativity-entrepreneurship","In a world characterized by volatility, uncertainty, complexity, and ambiguity, leaders require innovation skills. Thinking flexibly and developing an entrepreneurial mindset are critical to thriving in uncertain business environments. This specialization addresses how to recognize and question assumptions and constraints so as to identify and capitalize on opportunities. Innovation is needed within existing organizations and to found new organizations. Learning to change the rules of the game by creating innovative value propositions and discovering new market positions for sustained competitive advantage are some of the actionable lessons in this specialization.\\n\\nThis specialization will be of value to both aspiring and practicing entrepreneurs as well as employees in established firms who are interested in becoming innovative leaders in an interconnected world.","9.1 - 16.9","NA","English","business","marketing","SIs7J6BUEea2shJAHKQhjA"]
["2. Upskill","Strategy","Corporate Strategy","University of London","Intermediate",13.9,4.77,"https://www.coursera.org/learn/corporatestrategy","Corporate strategy is the strategy a firm uses to compete across multiple businesses. Many small firms want to grow by entering new businesses. Many large firms already are in multiple businesses, e.g. a photo camera producer selling also sunglasses. \\n\\nWe developed this course to help you make good corporate strategy decisions. Of the many decisions a firm has to make, corporate strategy decisions are among the most consequential. We will look at these key corporate strategy decisions:\\n- Diversification: How and which businesses should your firm enter?\\n- Divestiture: How and from which businesses should your firm exit?\\n- Corporate HQ: How should we organize corporate headquarters to create value across the different businesses?","chief executive officer; divestment; resource allocation; resource; corporate headquarters; strategic management; mergers and acquisitions; corporate bond; new business development; headquarters","Non Specialization","Non Specialization","Non Specialization","Non Specialization","6.7 - 20.1","NA","English","business","business-strategy","wHbDKS72EeamIRKe7Ylq9w"]
["2. Upskill","Strategy","Strategic Planning and Execution","University of Virginia","Intermediate",15.4,4.7,"https://www.coursera.org/learn/uva-darden-strategic-planning-execution","Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. You'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.","resource; analysis; business; strategic planning; modeling; Business Strategy; Planning; strategic management; strategy implementation; Strategic Analysis","Business Strategy",4.0,"https://www.coursera.org/specializations/business-strategy","This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.","9.2 - 17.6","Vietnamese","English","business","business-strategy","6-FfIC8hEeWUWxIOAnoaFQ"]

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["Financial Services","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Blockchain","Blockchain Basics","The State University of New York","Beginner",9.6,4.55,"https://www.coursera.org/learn/blockchain-basics","This first course of the Blockchain specialization provides a broad overview of the essential concepts of blockchain technology – by initially exploring the Bitcoin protocol followed by the Ethereum protocol – to lay the foundation necessary for developing applications and programming. You will be equipped with the knowledge needed to create nodes on your personal Ethereum blockchain, create accounts, unlock accounts, mine, transact, transfer Ethers, and check balances.       \\n\\nYou will learn about the decentralized peer-to-peer network, an immutable distributed ledger and the trust model that defines a blockchain. This course enables you to explain basic components of a blockchain (transaction, block, block header, and the chain) its operations (verification, validation, and consensus model) underlying algorithms, and essentials of trust (hard fork and soft fork). Content includes the hashing and cryptography foundations indispensable to blockchain programming, which is the focus of two subsequent specialization courses, Smart Contracts and Decentralized Applications (Dapps). You will work on a virtual machine image, specifically created for this course, to build an Ethereum test chain and operate on the chain. This hands-on activity will help you understand the workings of a blockchain, its transactions, blocks and mining.\\n\\nMain concepts are delivered through videos, demos and hands-on exercises.","bitcoin; cryptography; blockchains; public-key-cryptography; hashing; smart-contract; proof-of-work-system; bitcoin-network; ethereum; encryption","Blockchain",1.0,"https://www.coursera.org/specializations/blockchain","This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks.\\n\\nThe specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform.\\n\\nIt is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.","[5.5,12.3]","Korean; Vietnamese; Arabic","English","computer-science","software-development","flsycYzjEeeTABKJlsHMCA"]
["1. Literacy","Capital Markets","The Role of Global Capital Markets","The University of Melbourne","Advanced",12.7,4.58,"https://www.coursera.org/learn/capital-markets","In this course, participants will learn about how different markets around the world can interact to create value for, and effectively manage the risk of, corporations and their stakeholders. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).\\n\\nView the MOOC promotional video here: http://tinyurl.com/j7wyowo","corporate-finance; market-economics; global; finance; global-financial-system; financial-crisis; capital-market; financial-markets; corporate-bond; integration-testing","Essentials of Corporate Finance",2.0,"https://www.coursera.org/specializations/learn-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[7.8,15.4]","NA","English","business","finance","XosatFKUEeWEHRLwpfV5DQ"]
["1. Literacy","Consumer Banking","Firm Level Economics: Consumer and Producer Behavior","University of Illinois at Urbana-Champaign","Advanced",22.2,4.8,"https://www.coursera.org/learn/firm-level-economics","All goods and services are subject to scarcity at some level. Scarcity means that society must develop some allocation mechanism – rules to determine who gets what. Over recorded history, these allocation rules were usually command based – the king or the emperor would decide. In contemporary times, most countries have turned to market based allocation systems. In markets, prices act as rationing devices, encouraging or discouraging production and encouraging or discouraging consumption in such a way as to find an equilibrium allocation of resources. We will construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Markets are frequent targets of government intervention. This intervention can be direct control of prices or it could be indirect price pressure through the imposition of taxes or subsidies. Both forms of intervention are impacted by elasticity of demand. \\n\\nAfter this course, you will be able to: \\n•\\tDescribe consumer behavior as captured by the demand curve.\\n•\\tDescribe producer behavior as captured by the supply curve.\\n•\\tExplain equilibrium in a market.\\n•\\tExplain the impact of taxes and price controls on market equilibrium.\\n•\\tExplain elasticity of demand.\\n•\\tDescribe cost theory and how firms optimize given the constraints of their own costs and an exogenously given price.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; economic-analysis; supply-and-demand; demand; economics; price-elasticity-of-demand; microeconomics; supply-chain; analysis; cost","Managerial Economics and Business Analysis",1.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.9,25.4]","NA","English","business","finance","sFiBn4SSEeWxQQoymFg8zQ"]
["1. Literacy","Digital Transformation in Financial Services","Digital Competition in Financial Services","Copenhagen Business School","Intermediate",16.0,4.56,"https://www.coursera.org/learn/digital-competition-financial-services","Welcome to Digital Transformation Strategy! As you probably know, this is the first course in a three part specialization focused on the digital transformation of finance. We'll aim to bring you insights about how digitalization intersects with finance, culled from one of the world's top regions for digital innovation. I'm excited to have you in the class and look forward to helping you learn more about this important topic.\\n\\nTo begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nBy the time you finish this course, you’ll have mastered the transformational forces of digitalization and the new competitive dynamics it gives rise to, learned from leading financial companies and seen inspirational examples from the digital masters. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company seeking a new strategy for the digital age of finance.\\n\\nGood luck as you get started. I look forward to seeing you in class!","digital-strategy; financial-technology; innovation; market-economics; financial-services; digitizing; open-banking; ecosystem; business-ecosystem; finance","Digital Transformation in Financial Services",1.0,"https://www.coursera.org/specializations/digital-transformation-financial-services","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[9.4,16.6]","NA","English","business","business-strategy","k5mxLwVoEee9jQp7kwAPhA"]
["1. Literacy","Finance","Finance for Everyone: Decisions","McMaster University","Intermediate",17.7,4.65,"https://www.coursera.org/learn/finance-decisions","Finance for Everyone: Decisions will introduce you to the workings of the free markets and  the foundations of finance.  You will learn how free markets and their “creative destruction” provide the architecture for  the global economy and how those same markets move money in ways that create and destroy wealth. Your financial toolkit will include timeless concepts like compounding, discounting, annuities, effective interest rates, and more.  You will also learn how to simplify important financial calculations and apply that knowledge  to real-life decisions that can influence everything from how you pay for your car to where you live. Through peer review you will publish your view on an issue important to you. You will also discover how your applied decisions connect to bigger questions relating to changing market conditions as you prepare for the second course in F4E: Markets.","interest; interest-rate; personal-finance; financial-markets; market-economics; compounding; financial-plan; finance; personal-advertisement; corporate-finance","Finance for Everyone",1.0,"https://www.coursera.org/specializations/finance-for-everyone","Watch this intro video to learn more about the Specialization curriculum and Capstone Project!\\n\\nThe Finance for Everyone Specialization will help you learn the language of finance and understand how the flow of money relates to the most important key social issues influencing our lives and communities. You’ll examine the connections between global and local finance; the flow of assets through businesses, governments, and other institutions; and the commodity, bond, and equity market dynamics that create and destroy financial value. When you complete the Specialization, you’ll be able to better understand both global financial news and your own personal financial decisions.","[6.9,26.3]","NA","English","business","finance","Ma4VrW0zEeWEewoyD2Bc5Q"]
["1. Literacy","Financial Management","Finance for Non-Finance Professionals","Rice University","Beginner",17.3,4.82,"https://www.coursera.org/learn/finance-for-non-finance","This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level.  The goal here is give you a roadmap and framework for how financial professional make decisions.  \\n\\nWe will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future.  You will understand discounted cash flow (DCF) valuation and how it compares to other methods.  We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting.  We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline.  Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return.  We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice.\\n\\nThis course requires no prior familiarity with finance.  Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance.  We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make.  \\n\\nBy the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business.  The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area.","discounting; cash-flow; financial-accounting; budget; corporate-bond; capital-budgeting; finance; corporate-finance; financial-statement; flow-network","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.3,30.2]","Turkish; Arabic","English","business","finance","YiRLBRFqEeaRgQ4evS8KlQ"]
["1. Literacy","Financial Markets","Introduction to Financial Markets","Indian School of Business","Beginner",11.0,4.58,"https://www.coursera.org/learn/financial-markets-intro","Learn the general concepts of financial markets and economy.  You will see the difference between primary and secondary markets and learn about markets for different products. You will also look at various economic Indicators and their influence on the markets. After completing this course, you will have a much stronger background of financial markets and ready to go to the next stage in the Specialization. This course is designed to help students with very little or no finance background to learn the basics of investments.","stock; bond-market; investment; trading; stock-market; finance; economics; market-economics; foreign-exchange-market; financial-markets","Financial Markets and Investment Strategy",1.0,"https://www.coursera.org/specializations/investment-strategy","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[6.1,13.8]","NA","English","business","finance","xQd3R7SxEeWTSA5aXSz6uQ"]
["1. Literacy","Fintech","FinTech Foundations and Overview","The Hong Kong University of Science and Technology","Beginner",16.3,4.64,"https://www.coursera.org/learn/fintech","Our primary goal is to help you to understand FinTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes.\\n\\nThis FIRST MOOC ON FINTECH IN ASIA-PACIFIC offered by HKUST presents the insight of several professors from the top business school in Asia as well as perspectives from industry professionals.  HKUST has been ranked for many years as the No.1 EMBA program in the world, as the number one Finance program in Asia, and as the top MBA program in Asia by multiple independent rating and review journals and surveys.  \\n\\nThis course \"FinTech Foundations and Overview\" offers the combined strengths of HKUST in Business, Finance, and Technology as one the world's leading academic institutions on an important area of technology and business innovations.  For learners from outside Asia, this also gives an insight into changes happening in the most advanced FinTech markets of the world, since Asia leads worldwide in FinTech adoption and creative innovations.","cryptocurrency; blockchains; banking; loan; latex; robot; market-economics; finance; futures-studies; financial-technology","FinTech: Finance Industry Transformation and Regulation",1.0,"https://www.coursera.org/specializations/fintech","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[11.2,18.2]","Chinese; Arabic","English","business","finance","7vsRodoREeetQAqJ6u44Wg"]
["1. Literacy","Risk Management","Business Opportunities and Risks in a Globalized Economy","IE Business School","Advanced",13.0,4.79,"https://www.coursera.org/learn/business-opportunities-and-risks-in-a-globalized-economy","This is the last of the three courses part of the Globalization, Economic Growth and Stability Specialization.¨Business Opportunities and Risks in a Globalized World¨ is the the 3rd and final course of the ¨Globalization, Economic Growth and Stability¨ Specialization taught by IE Business School's Professor Gayle Allard. This course is designed to help an investor, businessperson or economist approach macroeconomic, institutional and international data and derive information from the indicators that point to the types of opportunities and risks that they present.  Students will gain practice by handling the data of some of the largest economies in the world –the United States, Japan, the European Union, China and India—and “reading the story” of their economies from their data, yielding surprisingly profound conclusions about their present and future. The course is the third in a series for the specialization but it is also a stand-alone course for anyone who wants practice in practical macroeconomics.\\n\\nThis course includes 4 modules, each one deep-diving into the macroeconomic circumstances that have been brought up in the recent history of four key regions: the USA, Japan, Europe, and China and India.  Students will analyze the ways in which international economies relate with one another, the benefits of trade and migration and economic development and how it occurs, among other themes.  \\n\\nProfessor Allard takes overarching macroeconomic theory and turns it into a practical tool for those interested in the opportunities and risks of investment and doing business in each of the four regions covered.","economics; network-news-transfer-protocol; financial-economics; economy; hdotedotadotrdot; index; finance; interpretation; risk; india","Globalization, Economic Growth and Stability",3.0,"https://www.coursera.org/specializations/globalization-economic-growth-and-stability","This Specialization aims to make economic concepts accessible to every learner, and to teach them to analyze current events using the toolkit of economics. It begins by explaining the basic parameters of the macroeconomy, and how governments can/should use both fiscal and monetary policy to influence growth, inflation and employment. It then moves on to the international arena, where countries interact, and explains the basic principles of free trade, exchange rates, the balance of payments and immigration and how these interactions affect our everyday lives. Finally, learners will apply these tools and concepts to the world's leading economies and discover how they can \"read\" from a country's economic data important lessons about the risks and opportunities of doing business in these countries, equipping them with tools that they can use in the workplace and even in their personal investment decisions.","[8,17.3]","Spanish; Arabic","English","social-sciences","economics","qAcDJStQEeikZQpbEeNNVA"]
["2. Upskill","Blockchain","Introduction to Blockchain for Financial Services","INSEAD","Beginner",14.8,4.0,"https://www.coursera.org/learn/intro-blockchain-financial-services","In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem. You’ll be able to describe seven design principles for blockchain technology, and the challenges facing the people developing it. You’ll also meet the players in the blockchain ecosystem, and consider your own role in stewarding the blockchain revolution.","blockchains; insead","Blockchain Revolution in Financial Services",1.0,"https://www.coursera.org/specializations/blockchain-financial-services","As the Internet was the first digital medium for information, blockchain is the first native digital medium for value. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations.\\n\\nThis four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem.","[9.5,20.5]","NA","English","computer-science","computer-security-and-networks","kUDK_A1iEeqa8g7Z8gS6hQ"]
["2. Upskill","Blockchain","Blockchain, Cryptoassets, and Decentralized Finance","INSEAD","Beginner",9.7,1.0,"https://www.coursera.org/learn/blockchain-crypto-decentralized-finance","Today, large intermediaries establish trust in our economy and control the movement, storage, and allocation of money and assets. The status quo, however, is rife with inefficiencies. In this course, we’ll address the many challenges of the status quo and discuss how cryptoassets, smart contracts, new identity systems, and new financial business models can help overcome them. You’ll learn how blockchain technology empowers individuals, entrepreneurs, and businesses with the tools they need to help level the playing field and to participate in the value they create. By the end of this course, you’ll learn how and why transacting on the blockchain can help us bring about a future that is faster, fairer, and more distributed than the world we inhabit today.","blockchains","Blockchain Revolution in Financial Services",2.0,"https://www.coursera.org/specializations/blockchain-financial-services","As the Internet was the first digital medium for information, blockchain is the first native digital medium for value. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations.\\n\\nThis four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem.","[5.9,12.5]","NA","English","computer-science","computer-security-and-networks","Tq0zYRBgEeqm6go0EFEPzw"]
["2. Upskill","Blockchain","Blockchain Transformations of Financial Services","INSEAD","Beginner",11.1,"NA","https://www.coursera.org/learn/blockchain-transformations-financial-services","The current global financial system is riddled with inefficiencies, uneven developments, and bizarre contradictions. Blockchain technology has the potential to bring about profound changes to financial services. In this course, you will learn how blockchain technology will disrupt the core functions of the financial services industry, offering individuals and organizations alike real choices in how they create and manage value.","blockchains","Blockchain Revolution in Financial Services",3.0,"https://www.coursera.org/specializations/blockchain-financial-services","As the Internet was the first digital medium for information, blockchain is the first native digital medium for value. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations.\\n\\nThis four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem.","[6.8,13.9]","NA","English","computer-science","computer-security-and-networks","Bj_QBhFcEeq2yQqObr-U5Q"]
["2. Upskill","Blockchain","Blockchain in Financial Services: Strategic Action Plan","INSEAD","Intermediate",15.3,"NA","https://www.coursera.org/learn/blockchain-strategic-action-plan","In this fourth and final course of the specialization, you will synthesize your learning into a Strategic Action Plan. The goals of this course are twofold: One, it’s for you to identify a specific need or problem within the financial services industry that can potentially be solved using blockchain technology. Two, it’s for you to investigate possible solutions to this problem, and to develop a strategic plan for how these solutions might be executed. You will accomplish different project milestones each week, and will be introduced to several tools to organize your findings. Throughout this process, you will hear from real-world practitioners who have hands-on experience in the blockchain ecosystem. Additionally, by participating in this course you will gain access to our Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. As an outcome of this course, you will walk away with a consolidated, peer-reviewed Strategic Action Plan, which you can use to pitch your idea to your organization and/or potential investors.","blockchains; insead","Blockchain Revolution in Financial Services",4.0,"https://www.coursera.org/specializations/blockchain-financial-services","As the Internet was the first digital medium for information, blockchain is the first native digital medium for value. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations.\\n\\nThis four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry.\\n\\nThe Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem.","[9.4,18.9]","NA","English","computer-science","computer-security-and-networks","z8glqhUNEeqzsw6YoH8vIw"]
["2. Upskill","Capital Markets","Corporate Finance I: Measuring and Promoting Value Creation","University of Illinois at Urbana-Champaign","Advanced",25.2,4.78,"https://www.coursera.org/learn/corporate-finance-measure-success","In this course you will learn how to use key finance principles to understand and measure business success and to identify and promote true value creation. You will learn how to use accounting information to form key financial ratios to measure a company’s financial health and to manage a company's short-term and long-term liquidity needs.  You will also learn how to use valuation techniques to make sound business investment and acquisition decisions. Finally, you will learn how to incorporate risk and uncertainty into investment decisions and how to evaluate the performance of existing investments.\\n\\nUpon successful completion of this course you will be able to:\\n•\\tUnderstand how companies make investment decisions that create value for shareholders\\n•\\tUse accounting statements to measure the financial health of a company\\n•\\tForecast and manage a company’s short- and long-term liquidity needs\\n•\\tMeasure the contribution of a new project or acquisition to shareholder value\\n•\\tIncorporate risk into investment decisions using the appropriate discount rates\\n•\\tEvaluate the performance of a company or divisions of a company\\n\\nThis course was previously entitled Financial Evaluation and Strategy: Corporate Finance. The course received an average rating of 4.7 out of 5 based on 177 reviews over the period of September 2015 through August 2016.  A detailed breakdown of ratings and reviews received for the prior version of the course, which is identical in content to the current course, is provided in the course orientation page.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","financial-plan; shareholders; finance; risk; mergers-and-acquisitions; investment; corporate-finance; shareholder-value; corporate-bond; management","Financial Management",5.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[14.5,31.6]","NA","English","business","finance","BvEMlUkvEeahWA4Td3Kvcw"]
["2. Upskill","Capital Markets","Corporate Finance II: Financing Investments and Managing Risk","University of Illinois at Urbana-Champaign","Advanced",16.8,4.82,"https://www.coursera.org/learn/corporate-finance-two","In this course you will learn how companies decide on how much debt to take, and whether to raise capital from markets or from banks. You will also learn how to measure and manage credit risk and how to deal with financial distress. You will discuss the mechanics of dividends and share repurchases, and how to choose the best way to return cash to investors. You will also learn how to use derivatives and liquidity management to offset specific sources of financial risk, including currency risks. Finally, You will learn how companies finance merger and acquisition decisions, including leveraged buyouts, and how to incorporate large changes in leverage in standard valuation models.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n•\\tUnderstand how companies make financing, payout and risk management decisions that create value\\n•\\tMeasure the effects of leverage on profitability, risk, and valuation\\n•\\tManage credit risk and financial distress using appropriate financial tools\\n•\\tUnderstand the links between payout policies and company performance\\n•\\tUse derivatives and liquidity management to offset financial risks\\n•\\tPick an appropriate financing package for an M&A or leveraged buyout deal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","leverage-finance; market-economics; finance; risk-management; investment; mergers-and-acquisitions; management; corporate-finance; corporate-bond; risk","Financial Management",6.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[8.5,20.9]","Korean","English","business","finance","oEsthEeREealuAr4icIOdw"]
["2. Upskill","Capital Markets","Capital Markets and Financial Institutions – How to Survive Them","Moscow Institute of Physics and Technology","Intermediate",27.2,4.64,"https://www.coursera.org/learn/capital-markets-and-financial-institutions","Capital markets and financial institutions are all around us. This is an enormous industry in which powerful players oftentimes challenge investors and the public at large and expose them to significant risks.\\nThis Course provides for the deep understanding of the core ideas, concepts, and mechanisms of the modern capital market in a learner-friendly way. We will analyze the market’s most fundamental problems, realize the intrinsic interests of the market participants, reveal the true meaning of certain financial terms, and uncover credible signals of the likely behavior of economic agents – all that with little math and a lot of fun.\\nThe learners will be much better positioned with respect to the financial environment. They will see through the financial news, reveal the risks of the financiers’ wishful thinking promises, and protect themselves against dangerous adventures. The learners will get the opportunity to use the obtained knowledge, skills, and understanding for the successful professional career in the financial and other business areas, as well as in their day-to-day life.","investment; banking; finance; asset; stock; market-liquidity; moral-hazard; investment-banking; financial-institution; capital-market","Understanding Modern Finance",1.0,"https://www.coursera.org/specializations/understanding-modern-finance","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[16.2,33.7]","NA","English","business","finance","zPTTgL_xEeejoA6gkzed5A"]
["2. Upskill","Capital Markets","Mergers and Acquisitions – The Relentless Pursuit of Synergy","Moscow Institute of Physics and Technology","Intermediate",26.0,4.54,"https://www.coursera.org/learn/mergers-and-acquisitions","The area of mergers and acquisitions (M&As) is special in finance. Incredible amounts of money are employed in such transactions. Deals draw a lot of public attention and dispute. Oftentimes, stories look more like fairy tales rather than financial reality.\\nThe key idea in any M&A transaction is to create value through a potentially synergetic activity. To this end, it is important to have a clear motive and implementation plan. Of special importance are the correct valuation, proper financing, and actual deal completion. But this is not the end – value mostly accrues from the post-merger integration. \\nThe understanding of the motives of various stakeholders is instrumental in the analysis of the potential creation of value.  \\nThe learners will gain insight into the core value creating M&A strategies. They will be able to use the obtained knowledge and skills to successfully advance in their career at a financial institution, as well as in the area of financial management at non-financial businesses. Finally, the Course is very helpful in successful completion of the Specialization’s Final Project.","banking; financial-modeling; investment-banking; mergers-and-acquisitions","Understanding Modern Finance",4.0,"https://www.coursera.org/specializations/understanding-modern-finance","This Specialization is designed for a wide audience of those interested in finance either professionally or just of curiosity, including managers of different levels specializing in finance, accounting, business planning, strategy, consulting, and project management, IT specialists engaged in the area of finance, fin-tech, big data, and valuation, etc.\\n\\nThrough four courses and the final Project, you will cover the theory and practice of capital markets and financial institutions, corporate finance and project valuation, financial and managerial accounting as applied to finance, as well as the M&A market as the ultimate judge of financial efficiency and value creation.\\n\\nThe Specialization will prepare you to understand and use the applications of financial ideas, concepts, models, strategies, and tools to build a successful career in finance and in business, as well as to take advantage of opportunities offered by financial markets.","[12.9,31]","NA","English","business","finance","IOyvw7_zEeejoA6gkzed5A"]
["2. Upskill","Consumer Banking","Economics of Money and Banking","Columbia University","Intermediate",44.7,4.84,"https://www.coursera.org/learn/money-banking","The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.\\n\\nThree features of the new system are central.\\n\\nMost important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse.  \\n\\nSecond, the global character of the crisis has revealed the global character of the system, which is something new in postwar history but not at all new from a longer time perspective.  Central bank cooperation was key to stemming the collapse, and the details of that cooperation hint at the outlines of an emerging new international monetary order. \\n\\nThird, absolutely central to the crisis was the operation of key derivative contracts, most importantly credit default swaps and foreign exchange swaps. Modern money cannot be understood separately from modern finance, nor can modern monetary theory be constructed separately from modern financial theory. That's the reason this course places dealers, in both capital markets and money markets, at the very center of the picture, as profit-seeking suppliers of market liquidity to the new system of market-based credit.","finance; crisis; financial-crisis; economy; global-financial-crisis; global; economics; market-economics; banking; money-market","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.7,66.6]","NA","English","social-sciences","economics","FuHL-RuOEeSduyIAC0iV4g"]
["2. Upskill","Consumer Banking","Behavioral Finance","Duke University","Intermediate",8.5,4.29,"https://www.coursera.org/learn/duke-behavioral-finance","We make thousands of decisions every day. Do I cross the road now, or wait for the oncoming truck to pass? Should I eat fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions with almost no thought, using what psychologists call “heuristics” – rules of thumb that enable us to navigate our lives. Without these mental shortcuts, we would be paralyzed by the multitude of daily choices. But in certain circumstances, these shortcuts lead to predictable errors – predictable, that is, if we know what to watch out for. Did you know, for example, that we are naturally biased towards selling investments that are doing well for us, but holding on to those that are doing poorly? Or that we often select sub-optimal insurance payment plans, and routinely purchase insurance that we don’t even need? And why do so many of us fail to enroll in our employer’s corporate retirement plans, even when the employer offers to match our contributions?\\n\\nBehavioral finance is the study of these and dozens of other financial decision-making errors that can be avoided, if we are familiar with the biases that cause them. In this course, we examine these predictable errors, and discover where we are most susceptible to them. This course is intended to guide participants towards better financial choices. Learn how to improve your spending, saving, and investing decisions for the future.","bias; economics; behavioral-economics; decision-making; cognitive-bias; behavioral-finance; psychologies; finance; behavioral-decision; investment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.4,10]","Chinese; Portuguese","English","business","finance","NSxhuc9cEeWczg7kSY_tVQ"]
["2. Upskill","Payments","The Future of Payment Technologies","University of Michigan","Beginner",11.5,4.83,"https://www.coursera.org/learn/paytech","Discover the future of payment technology, from mobile payments to tokenization.\\n\\nIn this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B).\\n\\nYou will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems.\\n\\nYou’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.","bitcoin; financial-technology; payment-systems; finance; mobile-payments","Financial Technology (Fintech) Innovations",1.0,"https://www.coursera.org/specializations/financialtechnology","This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.\\n\\nOur goal is to show learners the genesis and use cases of the technology. We hope to familiarize professionals sufficiently with the technology that they can utilize and adapt the technologies in their careers.","[4.7,15.7]","NA","English","business","finance","GA5E99r9EemVeQo24Bmtqg"]
["2. Upskill","Finance","Finance for Everyone: Markets","McMaster University","Beginner",9.2,4.67,"https://www.coursera.org/learn/finance-markets","Markets begins with one of the most common and important elements of the financial system – interest rates.  You will learn why interest rates have always been a key barometer in determining the value of everything.  You will explore the changing influence of interest rates; the impact of interest rates on consumption, investment and economic growth; and the bizarre realities of negative interest rates. Markets explains how interest rates change the value of all financial instruments, highlighting the role of the bond and stock markets that have toppled empires.  We take a closer look at the equity pricing models and equity markets that reverberate across the globe, and explore everything from the first stock ever issued – by the Dutch East India Company – to the little-understood but powerful derivative securities market.  By the end of the course, you will have developed insight into the intersections of the financial markets with worlds of policy, politics, and power. You will have demonstrated that insight by teaching an important financial concept and translating a financial product or transaction to someone who will clearly benefit from your advice.","interest-rate; rate-risk; stock; finance; credit-rating; personal-finance; market-economics; stock-market; interest; interest-rate-risk","Finance for Everyone",2.0,"https://www.coursera.org/specializations/finance-for-everyone","Watch this intro video to learn more about the Specialization curriculum and Capstone Project!\\n\\nThe Finance for Everyone Specialization will help you learn the language of finance and understand how the flow of money relates to the most important key social issues influencing our lives and communities. You’ll examine the connections between global and local finance; the flow of assets through businesses, governments, and other institutions; and the commodity, bond, and equity market dynamics that create and destroy financial value. When you complete the Specialization, you’ll be able to better understand both global financial news and your own personal financial decisions.","[3.9,11.8]","NA","English","business","finance","orCUF26dEeW8nw5ORrHGtQ"]
["2. Upskill","Finance","Finance For Everyone: Value","McMaster University","Advanced",11.4,4.76,"https://www.coursera.org/learn/finance-value","In Value, you will explore the most powerful generator of value in the world – ideas.  Ideas are the engines of productivity, both in the private and public sectors.  You will learn about the universal frameworks that determine how ideas and money interact, leading to the allocation of financial resources.  We will identify components of cash flow for any project, business or venture as the most essential ingredients of value. We also assess the investment techniques used to give life to some ideas while killing others.  This course will help you understand pricing, diversification, uncertainty and even behavioural approaches to dealing with risk.  Using Nobel Prize-winning insights, you will learn how to measure the size of the risk premium and build valuation models. We’ll even connect evidence-based science with common-sense analysis to give you better tools for understanding why values are what they are, and for positioning  yourself more effectively to participate in financial  markets. You will be immersed in case based learning to integrate some of the powerful frameworks introduced in Value.","investment-decisions; prediction-markets; finance; market-economics; value-investing; animal-behavior; investment; personal-finance; interaction; financial-markets","Finance for Everyone",3.0,"https://www.coursera.org/specializations/finance-for-everyone","Watch this intro video to learn more about the Specialization curriculum and Capstone Project!\\n\\nThe Finance for Everyone Specialization will help you learn the language of finance and understand how the flow of money relates to the most important key social issues influencing our lives and communities. You’ll examine the connections between global and local finance; the flow of assets through businesses, governments, and other institutions; and the commodity, bond, and equity market dynamics that create and destroy financial value. When you complete the Specialization, you’ll be able to better understand both global financial news and your own personal financial decisions.","[4.4,14.4]","NA","English","business","finance","hgiGK3dREeWLqw7zlLhRzQ"]
["2. Upskill","Finance","Finance for Everyone: Debt","McMaster University","Advanced",10.7,4.63,"https://www.coursera.org/learn/finance-debt","In Debt, we take on one of the most challenging financial questions that remains unresolved: How much to borrow? We start by demonstrating why using debt has always been and continues to be a great temptation, particularly when borrowing costs are historically low. We identify conditions for selecting the optimal amount of debt for a corporation looking to maximize its value.  You’ll become fluent in related concepts like norms and benchmarks. You will explore these and other factors that influence debt for individuals and for public sector organizations -including governments, who are the largest consumers of debt. Like pollution, debt creates systemic risks even for the people and organizations that don’t create it. This course discusses the imperative of limiting and reducing debt and the costs to all of us if we don’t. We build on case based learning giving you opportunities  to interpret, uncover and acquire financial information that is often hidden or missing. We also summarize important threads from previous courses to give you a deep and cohesive understanding of when debt works for you and when it becomes your worst enemy.","interpretation; finance; personal-finance; government-debt; consumer-debt; debt; flow-psychology; risk; personal-advertisement; corporate-bond","Finance for Everyone",4.0,"https://www.coursera.org/specializations/finance-for-everyone","Watch this intro video to learn more about the Specialization curriculum and Capstone Project!\\n\\nThe Finance for Everyone Specialization will help you learn the language of finance and understand how the flow of money relates to the most important key social issues influencing our lives and communities. You’ll examine the connections between global and local finance; the flow of assets through businesses, governments, and other institutions; and the commodity, bond, and equity market dynamics that create and destroy financial value. When you complete the Specialization, you’ll be able to better understand both global financial news and your own personal financial decisions.","[3.6,14.2]","NA","English","business","finance","JQ3V0XdUEeWLqw7zlLhRzQ"]
["2. Upskill","Financial Markets","Behavioral Investing","Indian School of Business","Intermediate",9.2,4.46,"https://www.coursera.org/learn/behavioral-investing","Through this course, you will learn how individuals and firms make financial decisions, and how those decisions might deviate from those predicted by traditional financial or economic theory. \\n\\nWe will explore the nature of these biases and their origins, using insights from psychology, neurosciences and experimental economics on how the human mind works. From these biases, you will be able to examine how the insights of behavioral finance complement the traditional finance paradigm. We also look at the micro and macro biases. Finally, we will explore how these insights describe more complicated topics such as fat tail events and financial crises.","finance; behavioral-economics; modeling; investment; behavioral-finance; psychographic; bias; financial-markets; cognitive-bias; integration-testing","Financial Markets and Investment Strategy",3.0,"https://www.coursera.org/specializations/investment-strategy","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[5.5,11.5]","NA","English","business","finance","R9bQ2bU2EeWhzw6RmNsYkQ"]
["2. Upskill","Financial Markets","Global Financial Markets and Instruments","Rice University","Beginner",20.3,4.43,"https://www.coursera.org/learn/global-financial-markets-instruments","Get a running start in the high-stakes world of financial investment! This first course is designed to help you become an informed investor by providing you with the essential concepts for long-term success in managing money. \\n\\nYou’ll start by learning the role of financial markets and financial assets in a well-functioning economy. From there, you’ll learn about the wide range of financial instruments available in major asset classes, their features and valuations. You’ll explore how financial markets actually operate in the real world, focusing on how and where securities are traded and how various market types differ from one another in practice. You will also learn the basics of algorithmic trading, dark pools, buying on margin and short selling. \\n\\nBy the end of the course, learners will be able to:\\n•\\tList and distinguish the different financial instruments available to an investor\\n•\\tCompare global financial markets\\n•\\tExplain the features of equity, debt, and derivative instruments\\n•\\tDefine traditional and alternative asset classes\\n•\\tDiscuss different trading venues and mechanics of securities trading\\n•\\tDiscuss the current trends affecting today’s financial markets\\n\\nThis course is designed to be accessible for students of all knowledge levels and gives you the actionable foundation needed to manage money in a post-crisis world.\\n________________________________________\\nWEEK 1\\nModule 1: Introduction & Review of Elementary Finance Tools\\nThis module introduces the Investment and Portfolio Management Specialization, which is made up of four courses. This module discusses how the first course, Global Financial Markets and Assets, is organized. It outlines the different stages of the investment management process, which guides the focus of the Specialization. It also reviews basic finance concepts and tools such as time value of money, computing returns, discounting and compounding.\\nTopics covered include:\\n•\\tFamiliarize with the organization of the class\\n•\\tMeet the professor and your peers\\n•\\tExplain the investment management process\\n•\\tReview elementary concepts in finance\\n•\\tCompute present value or future value of a single cash flow\\n•\\tCompute present value of future value of a stream of cash flows\\n•\\tDefine an annuity or perpetuity\\n•\\tApply time value of money tools to solve basic mortgage, loan or retirement problems\\n________________________________________\\nWEEK 2\\nModule 2: Financial system & financial assets: fixed income securities\\nIn this and the next two modules, we cover the key institutional features of financial markets and instruments. We ask the following questions: Why do financial markets exist? What role do they play? What are financial assets and how are they different than real assets? How does it all come together? Basically, this is where I hope you will get to see the big picture of the entire financial system and how it comes together.\\nModule 2 focuses on fixed income securities. We'll get started with a review of basics of bond valuation. You will learn about short-term money market instruments, U.S. Treasury securities as well as corporate bonds. After module 2, you will be able to describe fixed income securities, be familiar with their institutional features, and identify their cash flows. Finally, you will learn how to value fixed income securities such as Treasury bills, zero-coupon or coupon-bonds and compute yields.\\n\\nTopics covered include:\\n•\\tExplain the roles of financial markets\\n•\\tDistinguish between real and financial assets\\n•\\tDefine and explain money market instruments, zero-coupon and coupon- bonds and features\\n•\\tIdentify the cash flows associated with fixed-income securities\\n•\\tDefine and explain bond market features\\n•\\tList the different types of Treasury securities and explain pricing and quoting conventions\\n•\\tList and define other long-term debt instruments such as corporate bonds, mortgage-backed securities, sovereign debt\\n•\\tFind the value of a zero-coupon or coupon-bonds\\n________________________________________\\nWEEK 3\\nModule 3: Financial system & financial assets: equity securities and derivatives\\nIn Module 3, we continue our overview of financial markets and instruments. We next focus on two other major asset classes: equity securities and derivative instruments. You will learn about how equity differs from fixed income securities, the cash flows associated with stock and preferred stock and how to find the value of a share. You will also learn about option strategies. After completing module 3, you will be able to describe all major asset classes, including derivative instruments such as options, forwards and futures. You will be able to explain how these differ from each other and their payoffs.\\n\\nTopics covered include:\\n•\\tDistinguish between equities and fixed income securities\\n•\\tDefine and explain the features of equity securities\\n•\\tIdentify the cash flows associated with equity securities\\n•\\tExplain dividend discount model\\n•\\tFind the value of a share of common stock or preferred stock\\n•\\tDefine and list different types of derivative securities\\n•\\tExplain option payoffs\\n•\\tDistinguish between a forward and futures contract\\n•\\tExplain forward and futures payoffs\\n•\\tIdentify traditional and alternative asset classes\\n________________________________________\\nWEEK 4\\nModule 4: Organization of financial markets and securities trading\\nIn this module, we discuss how financial markets actually work. We will talk about different trading venues and the mechanics of securities trading. I will emphasize a lot of terminology and the latest trends in securities trading to familiarize you with the institutional workings of financial markets. After this module, you will be able to compare different trading venues, trading mechanisms, and be able to explain different types of orders, including transactions like margin buying and short- selling; you will be familiar with the language and terminology you need in order to become an informed practitioner of investments.\\n\\nTopics covered include\\n•\\tExplain the roles of corporations, households, government, and financial intermediaries in the financial system\\n•\\tExplain price discovery process\\n•\\tDefine different type of orders\\n•\\tDistinguish between dealer vs. auction markets; different trading platforms\\n•\\tExplain margin buying and short-selling transactions\\n•\\tUnderstand the current trading environment such as algorithmic or high frequency trading, dark pools etc.","finance; stock-valuation; instrumentation-computer-programming; stock; bond-valuation; investment; financial-instrument; interest; market-economics; financial-markets","Investment and Portfolio Management",1.0,"https://www.coursera.org/specializations/investment-portolio-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[12.6,25]","Spanish","English","business","finance","kRFdpru_EeW6QBIGzzljVw"]
["2. Upskill","Financial Markets","Understanding Financial Markets","University of Geneva","Intermediate",15.0,4.68,"https://www.coursera.org/learn/understanding-financial-markets","In this course, you will learn what the main financial markets and their characteristics are as well as how they are linked to the economy. \\n\\nOur very diversified team of experts will start by teaching you how the price of stocks and bonds are computed and why they move while you will become increasingly aware of the notion of risk and why it matters when measuring an investment's performance. The focus will then move to less popular markets such as gold, emerging markets, real estate, hedge funds and private markets. These will be analyzed with an emphasis on their particular risks and return opportunities as well as how they can help in building efficient portfolios. Finally, the policies of central banks and their impact on financial markets will be presented to you along with the link between the economy and the price of financial assets.\\n\\nAll along these different steps, experts from UBS, our corporate partner, will show you how the concepts you just acquired are effectively applied in a leading global bank. This focus on practicality means you will not only understand what is going on in global financial markets but also start to figure out how you can use them to achieve financial goals, be it a client's or your own.\\n\\nCourse Director and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","interest; finance; interest-rate; market-economics; investment; stock; bond-market; management; risk; financial-markets","Investment Management",1.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[10.2,17.7]","Chinese","English","business","finance","R_c89XEiEeWi0g6YoSAL-w"]
["2. Upskill","Financial Markets","Financial Markets","Yale University","Advanced",74.7,4.75,"https://www.coursera.org/learn/financial-markets-global","An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise.  Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries.  The ultimate goal of this course is using such industries effectively and towards a better society.","risk-management; financial-risk; stock; behavioral-finance; investment; market-economics; financial-markets; finance; risk; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.2,130.1]","Spanish; Korean","English","business","finance","SgcGB0YOEeemlQrrzf9X-A"]
["2. Upskill","Fintech","Innovation Strategy: Developing Your Fintech strategy","Copenhagen Business School","Advanced",16.8,4.53,"https://www.coursera.org/learn/innovation-strategy-fintech","Welcome to Innovation strategy: Developing your Fintech Strategy! As you probably know, this is the third course in a three-part specialization focused on the digital transformation of finance. \\n\\nIn this course, we'll aim to bring you insights about how business strategy intersects with innovation in finance. I'm excited to have you in the class and look forward to helping you learn more about this important topic.\\n\\nTo begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!\\n\\nThis course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.\\n\\nBy the time you finish this course, you’ll have understood the job your Fintech innovation strategy should solve and mastered both internal and external innovation tools to solve the problem. You will also have been exposed to how some of the world’s leading financial companies work with innovation and seen inspirational examples from the digital masters, such as Google, Apple and Amazon. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company that needs to re-think its Fintech innovation strategy.\\n\\nThe course has a primary focus on the banking sector, with insurance as a secondary area of concern. Most examples are rooted in the North American and European financial markets. \\n\\nGood luck as you get started. I look forward to seeing you in class!","banking; innovation; financial-technology; peer-to-peer; business-strategy; product-business; finance; partnership; strategic-partnerships; disruptive-innovation","Digital Transformation in Financial Services",3.0,"https://www.coursera.org/specializations/digital-transformation-financial-services","This Specialization is intended for learners that have or wants to have a career in the digital financial industries.\\n\\nThe Specialization explores the evolving world of finance, focusing on the changing dynamics caused by the conversion of products and services into digital goods, new customer demands and changing regulation to govern the competetive landscape - the digital transformation of finance.\\n\\nYou’ll learn about concepts such as digital platforms and business ecosystems, be exposed to the emerging Fintech landscape and master a new toolbox for successfully competing on innovation in the digital era of finance. In the final Capstone Project, you’ll create and defend a holistic digital transformation strategy for a real world company.\\n\\nThroughout the course, the instructors will use state of art examples and share their own research from the European and North American finance industries, as well as expose practices from leading digital financial services and companies, such as MobilePay, Saxo Bank and PayPal.\\n\\nThe main focus in the course is on the financial sector (in particular in North America and Europe), but the course also include material of relevance for the financial trading and insurance sectors and inspiration from Africa.","[9.3,17.7]","NA","English","business","business-strategy","IP_AswVvEeeqVhLFdsSxXA"]
["2. Upskill","Fintech","Financial Regulation in Emerging Markets and the Rise of Fintech Companies","University of Cape Town","Intermediate",21.1,4.65,"https://www.coursera.org/learn/financial-regulation","This course gives an overview of the changing regulatory environment since the 1997 Asian and 2008 global financial crisis. Following these two major crises, governments around the globe enacted a set of far-reaching new financial regulations that are aimed towards safeguarding financial stability. However, banks find it increasingly difficult to be profitable in this new regulatory environment. Technology, at the same time, has taken important leaps forward with the emergence of sophisticated models of artificial intelligence and the invention of the blockchain. These two developments fuel the emergence of fintech companies around the world. \\n\\nThis course discusses fintech regulation in emerging markets using case studies from China and South Africa. The course pays special attention to the socioeconomic environment in emerging markets, as well as to political risk as a major source of uncertainty for fintech entrepreneurs. Peer-to-peer lending and remittances are used as leading examples for fintech innovation in emerging markets.","finance; financial-technology; business-model; financial-regulation; added-value; financial-literacy; machine-learning; supply-and-demand","Fintech Startups in Emerging Markets",1.0,"https://www.coursera.org/specializations/fintech-startups-emerging-markets","The University of Cape Town’s specialization will give aspiring entrepreneurs the tools to understand the technological innovations and challenges the financial services industry faces in the emerging market context. The specialization covers foundations of the changing financial regulations, new technological applications like blockchain or artificial intelligence and design thinking for startups in emerging markets. Through real-world case studies, you will see how this technology can unlock growth and spur innovation and will understand the specific emerging economies environment within which innovation can take place. This specialization is particularly suited for entrepreneurs or aspiring entrepreneurs who want to learn how they can harness the power of fintech or technology in an emerging market. You will work on a business plan for your own fintech or tech-based startup idea in the capstone project comprising a business model canvas and pitch. This allows aspiring entrepreneurs to take a tangible step towards launching their own startup.\\n\\nWatch the course trailer","[11.2,26.3]","NA","English","business","finance","z9pU78ZoEeeDPAp85ryzQg"]
["2. Upskill","Fintech","Building Fintech Startups in Emerging Markets","University of Cape Town","Beginner",18.3,4.75,"https://www.coursera.org/learn/building-fintech-startups","Starting a small business in an emerging market can be very rewarding. Many of entrepreneurship opportunities in emerging markets arise out of necessity, or the drive to solve a real need or a social problem. Thus emerging markets often offer huge opportunities for disruptive innovation. Entrepreneurship has contributed to economic growth and been able to respond to social problems, helping some communities prosper. With the rise of fintech, financial solutions using technologies such as the cloud, blockchain and machine learning have by-passed or partnered with established financial institutions to serve new markets. \\n\\nThis course takes us through the basics from “What is entrepreneurship?” to applying commonly used business planning tools, such as design thinking and business model canvas. Design thinking is a methodology that encourages startups to focus on user-centric products and services. There are also insights on topics like regulation, intellectual property, funding and growth that are important for startups.\\n\\nI’ve invited along experts who teach and support entrepreneurs. This includes some really interesting people in various stages of their start-up business development. We will be talking with Zlto (a digital currency), Yoco (mobile payments), Proof of Steak (alternative asset investment) and Kuba (a digital ‘middleman’ for small businesses) to name a few. \\n\\nAs we will learn, there is no such thing as being ‘ready’ or, choosing the ‘perfect time’ to become an entrepreneur. You are already one, so let’s take the next steps on your entrepreneurial journey by joining your peers around the world on this course. This course is for everyone, and not only those interested in only fintech.","financial-services; financial-technology; blockchains; machine-learning; business-model-canvas","Fintech Startups in Emerging Markets",3.0,"https://www.coursera.org/specializations/fintech-startups-emerging-markets","The University of Cape Town’s specialization will give aspiring entrepreneurs the tools to understand the technological innovations and challenges the financial services industry faces in the emerging market context. The specialization covers foundations of the changing financial regulations, new technological applications like blockchain or artificial intelligence and design thinking for startups in emerging markets. Through real-world case studies, you will see how this technology can unlock growth and spur innovation and will understand the specific emerging economies environment within which innovation can take place. This specialization is particularly suited for entrepreneurs or aspiring entrepreneurs who want to learn how they can harness the power of fintech or technology in an emerging market. You will work on a business plan for your own fintech or tech-based startup idea in the capstone project comprising a business model canvas and pitch. This allows aspiring entrepreneurs to take a tangible step towards launching their own startup.\\n\\nWatch the course trailer","[10.4,24.5]","NA","English","business","entrepreneurship","SruyQcZpEeewQAoxdmVzyg"]
["2. Upskill","Fintech","FinTech Security and Regulation (RegTech)","The Hong Kong University of Science and Technology","Advanced",14.7,4.43,"https://www.coursera.org/learn/regtech","This course \"FinTech Security and Regulation (RegTech)\" help you to understand RegTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes, e.g. Regulations to cryptocurrencies like BitCoin & Initial Coin Offering (ICO). It presents the views of several professors from the top business school in Asia as well as perspectives from industry professionals.\\n\\nYou will learn about how FinTech and RegTech disrupt and transform finance industry, such as challenges in protecting data and security with digital forensics, risk management and corporate governance in banking industry in terms of Know Your Customer (KYC) and Anti Money Laundering (AML), and how governments in different countries take initiatives in FinTech and RegTech.","project-management; data-protection; digital-forensics; financial-technology; financial-regulation; finance","FinTech: Finance Industry Transformation and Regulation",2.0,"https://www.coursera.org/specializations/fintech","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[8.4,16.4]","Chinese","English","business","finance","MMNHvdoSEeeCCwo4zlIXRA"]
["2. Upskill","Fintech","FinTech Risk Management","The Hong Kong University of Science and Technology","Intermediate",17.0,4.5,"https://www.coursera.org/learn/fintech-risk-management","This course “FinTech Risk Management” help you understand risk management and corporate governance in finance industry with the disruption by FinTech and RegTech. You will become more confident to analyse and make recommendations to develop business strategies balancing the risks in operation, reputation and the stability of finance firms.\\n\\nYou will learn about new challenges of compliance with financial requirements and government regulations and how you can deal with these changes, strategies in analysing FinTech risk and how operation risks increase in finance industry in this changing environment. As tech firms are now becoming more like finance firms such as Alibaba, Apple, and Tencent etc., you will learn about the importance of IT compliance and assurance and practical skills in dealing with these changes.","financial-risk-management; management; financial-risk; finance; financial-technology; risk; risk-management; integration-testing; enterprise-risk-management","FinTech: Finance Industry Transformation and Regulation",3.0,"https://www.coursera.org/specializations/fintech","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[10.1,23.5]","Chinese","English","business","business-essentials","RHsxQtoSEeeHwhJGCo5gVg"]
["2. Upskill","Fintech","FinTech Disruptive Innovation: Implications for Society","The Hong Kong University of Science and Technology","Intermediate",12.8,4.68,"https://www.coursera.org/learn/fintech-disruption","This course “FinTech Disruptive Innovation: Implications for Society” help you understand how disruptive innovations create opportunity in finance industry and its impact to society especially your career. You would be able to examine and analyse how FinTech innovations would affect companies that relates to FinTech services and how it might affect your career in finance.\\n\\nYou will learn about how peer to peer lending disrupt finance industry in different countries, the diversity of impact by FinTech in the comparison of East vs West, Big firms vs Small firms, and different generations etc., how to predict FinTech trends in different markets, and finally what you should do to pursue your career and secure your position in FinTech industry.","financial-technology","FinTech: Finance Industry Transformation and Regulation",4.0,"https://www.coursera.org/specializations/fintech","Objective\\n\\nThis Specialization is intended for finance professional who are seeking to develop skills and understanding of FinTech. Through these four courses, you will cover FinTech foundations and overview, FinTech security and regulation (RegTech), FinTech risk management and FinTech disruptive innovation: implications to society, which will prepare you to become more confident and persuasive in your ability to analyze and make decisions regarding how to react to these changes.\\n\\nKey Benefits\\n\\nYou will earn a FinTech specialization certificate offered by the HKUST and Coursera after completing all four courses. You can add to your resume and Linkedin profile which can benefit to your career in finance industry. Also you will gain knowledge and insights in FinTech for your current and future career development in Finance industry.\\n\\nWho is this Specialization for?\\n\\nEveryone who is interested in FinTech and wants to learn more is welcome and will benefit from this course, and is useful for finance executives, government officers, entrepreneurs, consumers and investors of FinTech.\\n\\nTo know more...\\n\\nFind out more and watch the FinTech specialization promotional video on Youtube.\\n\\nhttps://youtu.be/MmqNLp4iuZE","[6.2,19.7]","NA","English","business","finance","WFanvtoSEeedbRLwgi9a7A"]
["2. Upskill","Fintech","FinTech Law and Policy","Duke University","Intermediate",33.1,4.77,"https://www.coursera.org/learn/fintechlawandpolicy","Being a successful FinTech firm requires more than just great technology; it also requires an understanding of the laws and regulations applicable to your business. This course will provide you with that understanding. You will learn about the critical legal, regulatory, and policy issues associated with cryptocurrencies, initial coin offerings, online lending, new payments and wealth management technologies, and financial account aggregators.  In addition, you will learn how regulatory agencies in the U.S. are continually adjusting to the emergence of new financial technologies and how one specific agency has proposed a path for FinTech firms to become regulated banks. You will also learn the basics of how banks are regulated in the U.S.\\n\\nIf you are unfamiliar with how these new financial technologies work, fear not. We will begin each new course section with a high-level overview of the underlying technology.  While the course is principally focused on the U.S. FinTech industry, we cannot possibly cover every relevant legal and regulatory issue. Therefore, this course should not be construed as legal advice. Rather, the goal of the course is to familiarize you with the key legal and regulatory challenges FinTech firms in various sectors face, as well as the critical policy debates that are occurring in Washington D.C. and state capitals across the country.","finance; financial-regulation; financial-technology; blockchains; payment-systems; law; cryptocurrency; risk; bitcoin; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.2,60.2]","NA","English","business","finance","nhAPFV0cEeiNthLYUFoHkg"]
["2. Upskill","Fintech","Supply Chain Finance Market and Fintech Ecosystem","New York Institute of Finance","Intermediate",10.6,4.45,"https://www.coursera.org/learn/supply-chain-finance-market-fintech-ecosystem","This course provides an in-depth understanding of the Supply Chain Finance market including insights on the potential and current market size, market penetration, growth, and distribution. You’ll be introduced to the four distinctive groups serving the Supply Chain Finance market and learn about the main stakeholders and market participants in a Supply Chain Finance program. By the end of the course, you’ll have reviewed the key trends and upcoming risks affecting Supply Chain Finance and gained a deeper understanding of the key challenges in the market amongst corporate clients, banks, non-bank financiers and technology service providers.","economics; blockchains; financial-technology; supply-chain; ecosystem; swift-programming-language","Supply Chain Finance and Blockchain Technology",3.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[4.5,17.2]","NA","English","business","finance","gxAcAAo7Eemr6Q4Noor3UA"]
["2. Upskill","Fund Management","Investments I: Fundamentals of Performance Evaluation","University of Illinois at Urbana-Champaign","Advanced",29.9,4.72,"https://www.coursera.org/learn/investments-fundamentals","In this course, we will discuss fundamental principles of trading off risk and return, portfolio optimization, and security pricing. We will study and use risk-return models such as the Capital Asset Pricing Model (CAPM) and multi-factor models to evaluate the performance of various securities and portfolios. Specifically, we will learn how to interpret and estimate regressions that provide us with both a benchmark to use for a security given its risk (determined by its beta), as well as a risk-adjusted measure of the security’s performance (measured by its alpha). Building upon this framework, market efficiency and its implications for patterns in stock returns and the asset-management industry will be discussed. Finally, the course will conclude by connecting investment finance with corporate finance by examining firm valuation techniques such as the use of market multiples and discounted cash flow analysis. The course emphasizes real-world examples and applications in Excel throughout. This course is the first of two on Investments that I am offering online (“Investments II: Lessons and Applications for Investors” is the second course).\\n\\nThe over-arching goals of this course are to build an understanding of the fundamentals of investment finance and provide an ability to implement key asset-pricing models and firm-valuation techniques in real-world situations. Specifically, upon successful completion of this course, you will be able to:\\n•\\tExplain the tradeoffs between risk and return\\n•\\tForm a portfolio of securities and calculate the expected return and standard deviation of that portfolio\\n•\\tUnderstand the real-world implications of the Separation Theorem of investments\\n•\\tUse the Capital Asset Pricing Model (CAPM) and 3-Factor Model to evaluate the performance of an asset (like stocks) through regression analysis\\n•\\tEstimate and interpret the ALPHA (α) and BETA (β) of a security, two statistics commonly reported on financial websites\\n•\\tDescribe what is meant by market efficiency and what it implies for patterns in stock returns and for the asset-management industry\\n•\\tUnderstand market multiples and income approaches to valuing a firm and its stock, as well as the sensitivity of each approach to assumptions made\\n•\\tConduct specific examples of a market multiples valuation and a discounted cash flow valuation\\n\\nThis course was previously entitled “Financial Evaluation and Strategy: Investments” and was part of a previous specialization entitled \"Improving Business and Finances Operations\", which is now closed to new learner enrollment. “Financial Evaluation and Strategy: Investments” received an average rating of 4.8 out of 5 based on 199 reviews over the period August 2015 through August 2016. You can view a detailed summary of the ratings and reviews for this course in the Course Overview section. \\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","pricing; corporate-bond; stock; modeling; valuation-finance; finance; investment-strategy; market-economics; investment; financial-markets","Financial Management",3.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[19.2,36.8]","NA","English","business","finance","4RYxEUkuEeahWA4Td3Kvcw"]
["2. Upskill","Fund Management","Portfolio and Risk Management","Indian School of Business","Intermediate",14.7,4.35,"https://www.coursera.org/learn/portfolio-management","This course teaches you the concepts of risk and expected return. This course presents an overview of the basic concepts and techniques used to construct financial portfolios. You will learn about the investment process and get a very good understanding of economic, industry, and company analyses. We will also look at understanding and interpreting major portfolio management and risk concepts. Through this course, you will discover the basic concepts of Modern Portfolio Theory. \\n\\nIn the second half of the course we explore the frameworks to measure investment performance, as well as the various measures of investment performance. Finally, you will learn how to measure performance of equity, bonds and hedge funds. After completing this course, you will be able to appreciate the details that go into the creation of investment portfolios.","management; finance; pricing; systematic-risk; systematics; portfolio-theories; market-portfolio; market-economics; risk-management; risk","Financial Markets and Investment Strategy",2.0,"https://www.coursera.org/specializations/investment-strategy","The Investment Management Specialization teaches professional asset management of securities using portfolio management and behavioral aspects of finance. Specific topics include: an introduction to the basics of finance, how to evaluate risk and expected return, the behavioral aspect of investment strategy, and current trends.","[7,20.1]","NA","English","business","finance","SGiLw7UgEeWbLRJn4j8c4Q"]
["2. Upskill","Fund Management","Biases and Portfolio Selection","Rice University","Beginner",17.0,4.47,"https://www.coursera.org/learn/biases-portfolio-selection","Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons. You will learn how to recognize your own mistakes as well as others’ and understand how these mistakes can affect investment decisions and financial markets.  You will also explore how different preferences and investment horizons impact the optimal asset allocation choice.\\n\\nAfter this course, you will be more effective in overcoming biases to do the wrong things at the wrong times and tailoring an investment strategy that is best suited on your or your client’s profile and investment needs.","cognitive-bias; investor; efficient-market-hypothesis; stock; behavioral-finance; bias; market-economics; behavioral-economics; investment; finance","Investment and Portfolio Management",3.0,"https://www.coursera.org/specializations/investment-portolio-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[10.5,26.6]","NA","English","business","finance","4FUch7u_EeW6QBIGzzljVw"]
["2. Upskill","Fund Management","Interest Rate Models","École Polytechnique Fédérale de Lausanne","Advanced",49.1,4.37,"https://www.coursera.org/learn/interest-rate-models","This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives. We will also cover the industry standard Black and Bachelier formulas for pricing caps, floors, and swaptions.\\n\\nAt the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives.","interest; interest-rate; modeling; yield-curve; stochastic-calculus; calibration; stochastic; finance; interest-rate-derivative; derivative","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[30.3,55.3]","NA","English","business","finance","rrCvQ2CfEeaFYA4dzi3AFw"]
["2. Upskill","Fund Management","Trading Algorithms","Indian School of Business","Beginner",9.6,4.5,"https://www.coursera.org/learn/trading-algorithm","This course covers two of the seven trading strategies that work in emerging markets. The seven  include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company.\\n\\nIn the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy.\\n\\nThe first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD).","investment; f1-score; algorithmic-trading; post-earnings-announcement-drift; investment-strategy; discipline; market-economics; algorithmics; trading-strategy; trading","Trading Strategies in Emerging Markets",2.0,"https://www.coursera.org/specializations/trading-strategy","This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.","[4.8,12.6]","NA","English","business","finance","piGPuD-wEeaYxQofsrK9hw"]
["2. Upskill","Fund Management","Creating a Portfolio","Indian School of Business","Intermediate",10.9,4.44,"https://www.coursera.org/learn/investment-portfolio","This course integrates all the learning from the first three courses and guides the learner about ways of building a portfolio of strategies and integrating the same into a hedge fund. \\n\\nIn the first part of the course, you will be taught ways of measuring the contribution of a strategy to a portfolio in terms of risk and return. You will be able to appreciate the consequences of including a strategy to a new as well an existing portfolio.\\nNext, you are taught various ways of conducting the tilting analysis in order to determine the optimal weight to be placed on each strategy.  After this you will learn to develop techniques for minimizing overall portfolio risk.\\n \\nYou will also get a basic overview of the regulatory framework that is applicable to hedge funds. You will know about different types of investors and the expectations of each type of investors.","performance-attribution; asset; performance; investment; trading-strategy; stock; market-economics; market-portfolio; analysis; trading","Trading Strategies in Emerging Markets",4.0,"https://www.coursera.org/specializations/trading-strategy","This Specialization equips individual investors and money managers with the skills required to develop their own trading strategies and test them. When you complete the Specialization, you’ll be ready to apply eight ready-made trading strategies, based on rigorous academic research, that have been shown to be. You’ll also be able to design your own trading strategy, back test it, and measure its performance.","[5.3,15.9]","NA","English","business","finance","cIycAG6eEeaFDg6PrI5UaQ"]
["2. Upskill","Risk Management","Portfolio Selection and Risk Management","Rice University","Beginner",31.2,4.49,"https://www.coursera.org/learn/portfolio-selection-risk-management","When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution. Finally, you will learn about the main pricing models for equilibrium asset prices.\\n\\nLearners will:\\n•\\tDevelop risk and return measures for portfolio of assets\\n•\\tUnderstand the main insights from modern portfolio theory based on diversification\\n•\\tDescribe and identify efficient portfolios that manage risk effectively\\n•\\tSolve for portfolio with the best risk-return trade-offs\\n•\\tUnderstand how risk preference drive optimal asset allocation decisions\\n•\\tDescribe and use equilibrium asset pricing models.","asset; portfolio-optimization; analysis; modern-portfolio-theory; portfolio-construction; risk-analysis; management; mathematical-optimization; risk; risk-management","Investment and Portfolio Management",2.0,"https://www.coursera.org/specializations/investment-portolio-management","In this four-course Specialization, you’ll learn the essential skills of portfolio management and personal investing.\\n\\nAll investors – from the largest wealth funds to the smallest individual investors – share common issues in investing: how to meet their liabilities, how to decide where to invest, and how much risk to take on. In this Specialization, you will learn how to think about, discuss, and formulate solutions to these investment questions. You will learn the theory and the real-world skills necessary to design, execute, and evaluate investment proposals that meet financial objectives. You will begin with an overview of global financial markets and instruments that characterize the investment opportunities available to today’s investor. You will then learn how to construct optimal portfolios that manage risk effectively, and how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will learn the best practices in portfolio management and performance evaluation as well as current investment strategies. By the end of your Capstone Project, you will have mastered the analytical tools, quantitative skills, and practical knowledge necessary for long-term investment management success.\\n\\nTo see an overview video for this Specialization, click here!","[21.7,46]","NA","English","business","finance","uwDWjLu_EeWH_w6eDJDPoQ"]
["2. Upskill","Risk Management","Keeping up with Change: Issues for the Finance Professional","University of London","Beginner",42.0,4.66,"https://www.coursera.org/learn/change-for-the-finance-professional","This MOOC identifies and explores a number of challenges to the finance professional arising from the ever changing business environment. Increasingly, financial decisions must take account of strategic consequences. \\n\\nThe first module, Exploring Strategic Position, Choice and Action helps in doing that – setting a strategic context for planning for, monitoring and controlling projects and activities. An on-going set of challenges is found in the evolution of International Reporting Standards. \\n\\nThe second module focuses on some recent changes in Standards, identifying the drivers for changes, and examining evolution in controversial areas such as leasing and goodwill. \\n\\nThe third and final module, Corporate Governance, examines issues which are causing people to re-assess the nature, purpose and scope of corporate governance, and challenges to making governance function effectively. Key issues here are the move to include a broader range of stakeholders, the perennial challenge of agency theory issues, shareholder activism, changing Board structures, and challenges to internal control to better manage risk. \\n\\nThis MOOC will be right for you if you are interested in engaging with some of the challenges facing finance professionals, even if you are not one yourself. If you are thinking about returning to study this will provide a taster of academic endeavours through reading articles, critiquing ideas, and blending theory with reality.","accounting; finance; analysis; corporate-governance; strategic-analysis; international-financial-reporting-standards; strategic-management; management; corporate-bond; financial-statement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.6,65.3]","NA","English","business","finance","asSgiHyvEeWpcQ7HugVD8Q"]
["2. Upskill","Risk Management","Financial Engineering and Risk Management Part II","Columbia University","Advanced",25.5,4.72,"https://www.coursera.org/learn/financial-engineering-2","Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods.  The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems  (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis. \\n\\nWe hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the \"rocket science\" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism.","risk; real-options-valuation; real-options; finance; pricing; derivative-finance; derivative; financial-engineering; risk-management; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.9,35.5]","NA","English","business","finance","szecWzeyEeSnNyIACxiLYQ"]
["2. Upskill","Risk Management","Financial Engineering and Risk Management Part I","Columbia University","Intermediate",31.5,4.53,"https://www.coursera.org/learn/financial-engineering-1","Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. We will also consider the role that some of these asset classes played during the financial crisis. A notable feature of this course will be an interview module with Emanuel Derman, the renowned ``quant'' and best-selling author of \"My Life as a Quant\". \\n\\nWe hope that students who complete the course will begin to understand the \"rocket science\" behind financial engineering but perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism. The follow-on course FE & RM Part II will continue to develop derivatives pricing models but it will also focus on asset allocation and portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading.","derivative-finance; risk; financial-engineering; finance; modeling; financial-modeling; microsoft-excel; financial-risk; derivative; pricing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.1,39.7]","NA","English","business","finance","GEfA2A0UEeSWFyIACpBHcA"]
["2. Upskill","Wealth Management","Alternative Approaches to Valuation and Investment","The University of Melbourne","Beginner",13.6,4.65,"https://www.coursera.org/learn/valuation","In this course, participants will develop an understanding of the intuitive foundations of asset and investment valuation, and how alternative valuation techniques may be used in practice. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon). \\n\\nView the MOOC promotional video here: http://tinyurl.com/h75pzt6","finance; investment; corporate-finance; cost; systematic-risk; capital-asset; asset; valuation-finance; real-options-valuation; analysis","Essentials of Corporate Finance",4.0,"https://www.coursera.org/specializations/learn-finance","You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining attitudes towards risk. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.","[8.4,16.5]","NA","English","business","finance","l-VzSGYDEeWq4RLQvtY_lQ"]
["2. Upskill","Wealth Management","Investments II: Lessons and Applications for Investors","University of Illinois at Urbana-Champaign","Advanced",20.6,4.76,"https://www.coursera.org/learn/investments-applications","In this course, you will start by reviewing the fundamentals of investments, including the trading off of return and risk when forming a portfolio, asset pricing models such as the Capital Asset Pricing Model (CAPM) and the 3-Factor Model, and the efficient market hypothesis.  You will be introduced to the two components of stock returns – dividends and capital gains – and will learn how each are taxed and the incentives provided to investors from a realization-based capital gains tax.  You will examine the investment decisions (and behavioral biases) of participants in defined-contribution (DC) pension plans like 401(k) plans in the U.S. and will learn about the evidence regarding the performance of individual investors in their stock portfolios.  The course concludes by discussing the evidence regarding the performance of actively-managed mutual funds. You will learn about the fees charged to investors by mutual funds and the evidence regarding the relation between fees charged and fund performance.  Segments of the portfolios of mutual funds that may be more likely to outperform and examples of strategies designed to “earn alpha” will also be introduced.\\n\\nLearners are welcome to take this course even if they have not completed \"Investments I: Fundamentals of Performance Evaluation,\" as the first module contain a review of investment fundamentals and regression analysis to get everyone up to speed.  Also, the course contains several innovative features, including creative out-of-the-studio introductions followed by quick-hitting \"Module in 60\" countdowns that highlight what will be covered in each module, four \"Faculty Focus\" interview episodes with leading professors in finance, and a summary of each module done with the help of animations!\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","finance; stock; financial-risk; market-economics; funds; investment-strategy; risk; investment; investment-decisions; financial-markets","Financial Management",4.0,"https://www.coursera.org/specializations/financial-management","This Specialization covers the fundamentals of strategic financial management, including financial accounting, investments, and corporate finance. You will learn to evaluate major strategic corporate and investment decisions and to understand capital markets and institutions from a financial perspective, and you will develop an integrated framework for value-based financial management and individual financial decision-making.\\n\\nThe Financial Management Specialization is part of the University of Illinois iMBA Program. Each course in this Specialization also fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Financial Management Specialization, you will:\\n\\n· Have a solid foundation in developing an integrated framework for strategic financial decision-making.\\n\\n· Have a thorough understanding of financial statements and the financial information they provide, and be able to critically evaluate and analyze cash flows statements.\\n\\n· Understand the management and evaluation of portfolios and firm valuation techniques.\\n\\n· Understand how to incorporate risk and uncertainty into investment decisions and understand how companies make financing and investment decisions.","[14.1,28.7]","NA","English","business","finance","gni-lkeREeaNmhKFnqHOVQ"]
["2. Upskill","Wealth Management","Meeting Investors' Goals","University of Geneva","Intermediate",17.9,4.72,"https://www.coursera.org/learn/meeting-investors-goals","In this course, you will dive into the concepts of rationality and irrationality and understand how they impact our investment decisions and what the consequences can be at the market level.\\n\\nYou will first explore the different biases that we, as humans, are subjected to when facing investment decisions and how they may impact the outcomes of these decisions. Moreover, you will see how emotions and ethical concerns such as honesty and trust influence market participants. When they are considered as a group rather than individually, you will discover how rationality and irrationality can drive asset prices to and away from their fair value. Finally, you will be presented with different portfolio construction methodologies and investment styles that make up the landscape of today's portfolio management industry. \\n\\nAt key points throughout the course, you will benefit from the practical knowledge of experts from our corporate partner, UBS, in how to build and manage clients' portfolios.","management; investment-style; bias; investment; cognitive-bias; market-economics; finance; portfolio-construction; investment-strategy; financial-markets","Investment Management",2.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[10.7,27.3]","NA","English","business","finance","LWzwe3KxEeWKsgrp3VnvAw"]
["2. Upskill","Wealth Management","Securing Investment Returns in the Long Run","University of Geneva","Beginner",10.7,4.73,"https://www.coursera.org/learn/investment-returns-long-run","In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are.\\n\\nYou will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry.\\n\\nYou will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.","investment-management; socially-responsible-investing; sustainability; finance; investment; funds; investment-decisions; risk-analysis; risk; management","Investment Management",4.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[6.5,12.9]","NA","English","business","finance","X3F5IHK0EeWi0g6YoSAL-w"]
["2. Upskill","Wealth Management","Planning your Client's Wealth over a 5-year Horizon","University of Geneva","Intermediate",19.1,4.66,"https://www.coursera.org/learn/wealth-planning-capstone","In this Capstone project, you will have to choose between three different characters (each with a unique set of financial constraints and objectives) and design an appropriate wealth plan for them over the next 5 years.\\n\\nYou will have to use the knowledge you gained in each of the four preceding courses to reach that objective. Indeed, you will need to know which assets to consider and how to manage them depending on changes in the economic outlook (Course 1), how to evaluate and deal with your character's emotional biases in order to suggest them a wealth strategy they will be able to follow (Course 2), how to build an optimal portfolio and manage its risk once the strategy has been designed (Course 3) and how to adequately measure the performance of your plan while taking advantage of investment vehicles and future trends in the investment management industry to further your character's goals (Course 4).\\n\\nThis Capstone project was designed in collaboration with UBS, our corporate partner, who benefits from years of experience in guiding clients with their wealth planning.","finance; evaluation; market-economics; microsoft-excel; investment-management; performance; investment; risk; measurement; management","Investment Management",5.0,"https://www.coursera.org/specializations/investment-management","In this Specialization, you will understand how investment strategies are designed to reach financial goals in a global context. You will learn the theory that underlies strong investment decisions, as well as practical, real-world skills that you can apply when discussing investment proposals with your advisor, managing your personal assets or your client’s investment portfolio. You will start by developing a global understanding of financial markets and what impacts rational and irrational behaviors have in finance at the micro and macro levels. You will then learn how to adequately build and manage a portfolio with a long-term view while gaining an appreciation for novel research advances in finance and related areas as well as future trends that are shaping the investment management industry. In the final Capstone Project, you will create a sensible 5-year investment plan that accounts for an investor's goals and constraints in a dynamic economic landscape. Key speakers from UBS, our corporate partner, will contribute to this specialization by providing you with practical insights they have gathered through years of experience working for the world’s largest wealth manager.\\n\\nDirector of this Specialization and main teaching contributor: Dr. Michel Girardin, Lecturer in Macro-Finance, University of Geneva","[12.9,23.2]","NA","English","business","finance","t8Zu0nK1EeWxvQr3acyajw"]
["2. Upskill","Wealth Management","Investment Management in an Evolving and Volatile World by HEC Paris and AXA Investment Managers","HEC Paris","Advanced",24.6,4.56,"https://www.coursera.org/learn/investment-management","Have you ever wanted to invest in financial markets, but were always afraid that you didn’t have the proper tools or knowledge to make informed decisions? Have you ever wondered how investment management companies operate and what fund managers do? AXA Investment Managers, in partnership with HEC Paris, will introduce you to the most important ideas and concepts in investment management, to help you better understand your financial future.\\n\\nThis course will enable you to:\\n•\\tDefine what type of investor you are, your investment objectives, and potential constraints. \\n•\\tIdentify the main investable assets and important players in financial markets. \\n•\\tUnderstand basic portfolio management techniques. \\n•\\tApply these techniques in real case studies from the outset, through practical assessments. \\n\\nFinally, we will provide a comprehensive overview of today's asset management industry: the product cycles, professionals, and regulations. For those who want to identify a talented fund manager to invest for you, we offer important criteria for selecting one. For those who are interested in learning more about this fascinating industry, we lay the foundation for your ongoing financial journey. Join us now to explore the world of investment management! \\n\\nCourse Specialists\\nThe course has been developed in collaboration between HEC Paris, with Hugues Langlois managing the academic aspect, and AXA Investment Managers specialists, sharing their experiences and expertise and coordinated by Marion Le Morhedec. AXA Investment Managers participants include Maxime Alimi, Stephanie Condra, Nicholas Jeans, Elodie Laugel, Pierre-François de Mont-Serrat, Jean-Gabriel Pierre (AXA Group), Dorothée Sauloup, Irina Topa-Serry, Fiona Southall, Patrice Viot Coster, Susanna Warner, and Joachim Weitgasser.\\n\\nRecommended Background\\nWe expect most participants to have a basic level of knowledge in mathematics and economics. However this is not essential, and we believe that people from any background can succeed with commitment and a strong interest.\\nBe aware that in the case study, you will have to use Excel.\\n\\nCourse Format \\nThis course will run for 4 weeks and consists of 4 modules, each with a series of lecture videos between 5 to 8 minutes long. Each module contains a set of practice and graded quiz questions. A complete portfolio management exercise covers concepts learned in all modules\\n\\nLanguage\\nThe course is in English, with Spanish, Italian, German, French, and Chinese (Simplified) subtitles.\\n\\nThe Project\\nThe preparation of this MOOC has been an exciting adventure for many professionals at AXA Investment Managers and HEC, both for the speakers and a wealth of contributors. Thank you to all of them.\\nWe hope you enjoy this course as much as we enjoyed creating it!","investment-management; asset; investment; market-economics; asset-management; portfolio-theories; analysis; finance; financial-markets; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.7,38.7]","Chinese; Spanish; French; German; Italian","English","business","finance","NDBJAUWDEeWbNhIvIryYow"]

{"sheet":"3. TE","index":9,"n_rows":117,"n_cols":21,"rows_kept":117,"cut":false,"hidden":false,"merged":[]}
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["Technology","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
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["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID","Specialization ID"]
["1. Literacy","Agile Software Development","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.53,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","product-business; software-development; agile-software-development; agile-manifesto; finger-protocol; software-product-management; software; product-management; management; product","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[2.9,7.5]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["1. Literacy","Product Marketing","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["1. Literacy","User Experience","Introduction to User Experience Design","Georgia Institute of Technology","Beginner",7.0,4.48,"https://www.coursera.org/learn/user-experience-design","The focus of this course is to introduce the learner to User Experience (UX) Design\\n\\nUser Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs.\\n\\nThis course is geared toward the novice. It is for learners that have heard about \"user experience\" or \"user interface\" design but don't really know much about these disciplines.\\n\\nThe course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery.\\n\\nIn this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design.\\n\\nThis means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!","java-annotation; usability; paper-prototyping; experience-design; user-experience; interfaces; experience; user-interface; user-research; user-experience-design","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.2,8.1]","French; Spanish; Chinese","English","computer-science","design-and-product","TcSA6RwWEeWBKhJRV_B8Gw"]
["1. Literacy","Cloud Engineering","Essential Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.7,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","virtual-private-networks; cloud-infrastructure; virtual-machine; cloud-platforms; virtual-private-cloud; google; google-compute-engine; google-cloud-platform; cloud-computing; private-network","Architecting with Google Compute Engine",2.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.7,13.2]","NA","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["1. Literacy","Continuous Delivery","Continuous Delivery & DevOps","University of Virginia","Beginner",10.9,4.6,"https://www.coursera.org/learn/uva-darden-continous-delivery-devops","Amazon famously delivers new code every 11.6 seconds. Just a few years ago, this was unthinkable: many ‘cutting edge’ firms would release software quarterly. When it comes to digital innovation, velocity is critical and many would say it’s the most reliable determinant of success. \\n\\nBringing an organization to the state of the art (or even functional capability) in this area requires strong work in a combination of disciplines and a combination of both technical and managerial skills. There is no single cookie-cutter approach for achieving this capability. Much like agile, the right focus and formulation depends a lot on the facts and circumstances of the team. This course will provide you with the interdisciplinary skill set to cultivate a continuous deployment capability in your organization. \\n\\nAfter completing this course, you will be able to: \\n1. Diagnose a team’s delivery pipeline and bring forward prioritized recommendations to improve it\\n2. Explain the skill sets and roles involved in DevOps and how they contribute toward a continuous delivery capability\\n3. Review and deliver automation tests across the development stack\\n4. Explain the key jobs of system operations and how today’s leading techniques and tools apply to them\\n5. Explain how high-functioning teams use DevOps  and related methods to reach a continuous delivery capability \\n6. Facilitate prioritized, iterative team progress on improving a delivery pipeline","continuous-integration; devops; unit-testing; test-automation; software; continuous-testing; infrastructure-as-code; software-testing; continuous-delivery; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.8]","NA","English","computer-science","software-development","yHvuv3ZLEei_sRJ3tviPRg"]
["1. Literacy","Big Data","Introduction to Big Data","University of California San Diego","Beginner",17.3,4.53,"https://www.coursera.org/learn/big-data-introduction","Interested in increasing your knowledge of the Big Data landscape?  This course is for those new to data science and interested in understanding why the Big Data Era has come to be.  It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems.  It is for those who want to start thinking about how Big Data might be useful in their business or career.  It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!\\n\\nAt the end of this course, you will be able to:\\n\\n* Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. \\n\\n* Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.\\n\\n* Get value out of Big Data by using a 5-step process to structure your analysis. \\n\\n* Identify what are and what are not big data problems and be able to recast big data problems as data science questions.\\n\\n* Provide an explanation of the architectural components and programming models used for scalable big data analysis.\\n\\n* Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model.\\n\\n* Install and run a program using Hadoop!\\n\\nThis course is for those new to data science.  No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments.  \\n\\nHardware Requirements:\\n(A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size.  \\n\\nSoftware Requirements:\\nThis course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.","apache-hadoop; analytics; cloudera; data-uri-scheme; big-data-analytics; data-segment; mapreduce; big-data; data-analysis; integration-testing","Big Data",1.0,"https://www.coursera.org/specializations/big-data","Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.\\n\\n*********\\n\\nDo you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.","[10.1,26.2]","Hindi; Arabic; Korean; Persian","English","data-science","data-analysis","6nKPTBHoEea7axIlQHzY1Q"]
["1. Literacy","Front-End Web Development","Introduction to Web Development","University of California, Davis","Beginner",14.8,4.61,"https://www.coursera.org/learn/web-development","This course is designed to start you on a path toward future studies in web development and design, no matter how little experience or technical knowledge you currently have. The web is a very big place, and if you are the typical internet user, you probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With almost 1 billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills.  \\n\\nBy the end of this course you’ll be able to describe the structure and functionality of the world wide web, create dynamic web pages using a combination of HTML, CSS, and JavaScript, apply essential programming language concepts when creating HTML forms, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and be fully prepared to take the next step in a more advanced web development or design course or specialization.","html5; javascript; html; web; style-sheets; form-html; css-code; web-development; web-design; cascading-style-sheets","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,20.8]","Spanish","English","computer-science","mobile-and-web-development","hVoJYnQ_EeWIfhKr_WcYsQ"]
["2. Upskill","Agile Software Development","Agile Meets Design Thinking","University of Virginia","Beginner",15.6,4.7,"https://www.coursera.org/learn/uva-darden-getting-started-agile","Despite everyone's good intentions, hard work and solid ideas, too many teams end up creating products that no one wants, no one can use, and no one buys. But it doesn't have to be this way. Agile and design thinking offer a different--and effective--approach to product development, one that results in valuable solutions to meaningful problems. In this course, you’ll learn how to determine what's valuable to a user early in the process--to frontload value--by focusing your team on testable narratives about the user and creating a strong shared perspective. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","design-thinking; user-experience; agile-software-development; software; user-story; experience; storyboarding; software-development; persona-user-experience; management","Agile Development",1.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.5,17.7]","Arabic","English","computer-science","design-and-product","5g_hAYo4EeWTzg6WBWinhQ"]
["2. Upskill","Agile Software Development","Running Product Design Sprints","University of Virginia","Intermediate",14.2,4.54,"https://www.coursera.org/learn/uva-darden-running-design-sprints","Typically, clients and managers don't want to pay for design (or strategy) -- they want ‘results’! Too often, this leads to solutions that just don’t make sense and aren’t valuable to anyone. \\n \\nDesign sprints allow you to meet client's desire for quick, specific outcomes while making time to do things right. In this course, we'll show you how to plan and run situation-appropriate sprints to avoid waste and deliver value sooner. You'll explore how to do this across customer discovery, testing with Learn Startup, usability testing, and product architecture. \\n \\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; software; usability-testing; agile-software-development; usability; design-sprint; finger-protocol; software-development; agile-management; software-testing","Agile Development",2.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[9.2,16.5]","NA","English","computer-science","design-and-product","qVetW596EeW6bw4ogk2HGQ"]
["2. Upskill","Agile Software Development","Managing an Agile Team","University of Virginia","Beginner",16.5,4.65,"https://www.coursera.org/learn/uva-darden-agile-team-management","While agile has become the de facto standard for managing digital innovation teams, many wonder if they’re doing it ‘right’. Twitter is full of jokes about how teams say they do agile but don’t ‘really’ do it. The reality is that getting the most out of agile is less about observing specific procedures and more about how a team focuses and measures their progress. \\n\\nRather than just boring you with an accounting of agile methodologies, this course focuses on helping you better charter your team’s focus, definition of success, and practice of agile. While learning about agile mainstays like Scrum, XP, and kanban, you’ll also learn to help your team ask the right questions about how they’re working and facilitate good answers on how agile can help.    \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","agile-software-development; kanban; software-development; agile-management; software; team-management; management; link-aggregation; scrum-software-development; product","Agile Development",3.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[10.7,18.6]","Arabic","English","computer-science","design-and-product","94jQ-3EnEeWhZxJhllGpHQ"]
["2. Upskill","Agile Software Development","Hypothesis-Driven Development","University of Virginia","Intermediate",13.2,4.52,"https://www.coursera.org/learn/uva-darden-agile-testing","To deliver agile outcomes, you have to do more than implement an agile process- you have to create focus around what matters to your user and rigorously test how well what you’re doing is delivering on that focus. Driving to testable ideas (hypotheses) and maximizing the results of your experimentation is at the heart of a high-functioning practice of agile. This course shows you how to facilitate alignment and create a culture of experimentation across your product pipeline. \\n\\nYou’ll understand how to answer these four big questions: \\n1. How do we drive our agility with analytics?\\n2. How do we create compelling propositions for our user?\u2028\\n3. How do we achieve excellent usability?\u2028\\n4. How do we release fast without creating disasters?\u2028\\n\\nAs a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 20 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","continuous-delivery; test-driven-development; software-development; usability; software; software-testing; agile-software-development; agile-testing; usability-testing; management","Agile Development",4.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7,16.3]","NA","English","computer-science","design-and-product","kzmY_qA-EeWHXAr1OpR7HQ"]
["2. Upskill","Agile Software Development","Agile Development in Practice (Project-centered Course)","University of Virginia","Advanced",11.6,4.4,"https://www.coursera.org/learn/uva-darden-agile-development-capstone","This project-centered course provides a guided opportunity for you to practice your agile development skills. Using the venture design process that frames the four courses in this Specialization, you will apply agile processes to a project of your choice or to a provided venture concept. From persona, problem scenario, and user story development to designing user testing and product launch, you’ll practice leading an agile project. You’ll finish the course with a portfolio-building design brief that demonstrates your learning and specialized skills in agile product development.\\n\\nTo get the most out of this course, we suggest you first complete the other four courses in the Agile Development Specialization: Agile Meets Design Thinking; Running Product Design Sprints, Managing an Agile Team, Testing with Agile. \\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 40 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122) \\n\\nThis course is supported by the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","user-experience; management; project-management; agile-software-development; experience; software-development; software-testing; software; agile-management; persona-user-experience","Agile Development",5.0,"https://www.coursera.org/specializations/agile-development","In this Specialization, you'll gain an understanding and appreciation of the principles and practice of agile management. You'll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you'll apply what you've learned to guide a real-world software development project to successful completion.\\n\\nUVA Darden","[7.2,14.5]","NA","English","computer-science","design-and-product","OdCMA6NeEeWw6Q7sxrDlWQ"]
["2. Upskill","Agile Software Development","Agile with Atlassian Jira","Atlassian","Beginner",11.3,4.61,"https://www.coursera.org/learn/agile-atlassian-jira","Agile teams use “just enough” planning and an incremental approach to accomplishing the work of the team. Every project and every team uses a custom agile methodology. This course discusses common foundational principles and practices used by agile methodologies, providing the student a flexible set of tools to use in any role (e.g. product owner, scrum master, project manager, team member) on any agile team. This course mainly discusses agile and lean principles, the kanban and scrum agile methodologies, and uses Atlassian Jira Software Cloud as the main software tool to apply hands-on learning of the topics. The course includes instruction on \"classic\" Jira projects as well as the new \"next-gen\" Jira projects.\\n\\nStudents are provided with a free Atlassian Jira Software Cloud account in order to complete the hands-on labs associated with this course. By the time you have completed this course, you will have a strong foundational understanding of agile principles and practices, and strong hands-on experience with Atlassian Jira Software Cloud. You will be the site administrator for your Jira account, so you will be able to perform basic administration tasks on your site. You should be able to continuously configure your Jira project(s) to match your team's custom agile methodology.\\n\\nYou can watch the videos and take the quizzes from your phone if you want, but the hands-on labs using Atlassian Jira Software Cloud require you to have a Windows, Mac or Linux computer.\\n\\nThis course tries to be as concise as possible. It will probably take you about 6-12 hours to go through, but your mileage may vary. It is highly encouraged that you apply what you learn to managing personal agile projects after the course is complete.","software; scrum-software-development; project-management; agile-software-development; jira-software; agile-management; project; software-development; kanban; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.4]","NA","English","computer-science","software-development","MhlnlfD8EeesnRJUyZNfHA"]
["2. Upskill","Agile Software Development","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","management; kanban; process; software-development; scrum-software-development; agile-software-development; unified-process; lean-software-development; software; software-development-process","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["2. Upskill","Agile Software Development","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","planning; software-development; risk; finger-protocol; agile-software-development; software; plan; agile-management; project; management","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.9]","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["2. Upskill","Algorithms","Algorithms, Part II","Princeton University","Intermediate",35.5,4.95,"https://www.coursera.org/learn/algorithms-part2","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","data-segment; data-compression; data-structure; computer-programming; java-software-platform; graphs; algorithms; search-algorithm; string-searching-algorithm; java-programming-language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[22.5,41.5]","Korean","English","computer-science","algorithms","fEHS45vFEeaF3g7NeAQepg"]
["2. Upskill","Algorithms","Algorithms, Part I","Princeton University","Intermediate",32.4,4.89,"https://www.coursera.org/learn/algorithms-part1","This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","data-uri-scheme; java-software-platform; sorting; algorithms; data-structure; java-programming-language; algorithmics; priority-queue; sorting-algorithm; computer-programming","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.2,38.7]","Korean; Russian","English","computer-science","algorithms","yQcuJCOcEeagwg7hVay0BQ"]
["2. Upskill","Algorithms","Approximation Algorithms Part I","École normale supérieure","NA",21.9,4.82,"https://www.coursera.org/learn/approximation-algorithms-part-1","Approximation algorithms, Part I\\n\\nHow efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum. \\n\\nThis course assumes knowledge of a standard undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a favorite and amazingly successful technique in this area. By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments.  \\n\\nThis is the first of a two-part course on Approximation Algorithms.","rounding; linear-programming; linearity; approximation-algorithm; approximation; computer-programming; algorithms; directed-graph; randomized-rounding; mathematical-optimization","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.1,24.9]","NA","English","computer-science","algorithms","bnQLDSclEeWbiBJCM9ziNQ"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Migrating to the Cloud","Amazon Web Services","Advanced",18.0,4.7,"https://www.coursera.org/learn/aws-fundamentals-cloud-migration","This four week course focuses on migrating workloads to AWS.  We will focus on  analyzing your current environment, planning your migration, AWS services that are commonly used during your migration, and the actual migration steps.  \\n\\nHands-on labs are available, though not required for this class.  Access to the labs is limited to paid enrolled students.  You can audit this  course without taking the labs.  As we dive into each of the services covered in this class, there will be links to documentation where you can find example applications and code samples.\\n\\nIf you are new to AWS, we strongly suggest that you take “AWS Fundamentals: Going Cloud Native” (https://www.coursera.org/learn/aws-fundamentals-going-cloud-native) course available on Coursera to provide an introduction to AWS concepts and services.","data-migration; amazon-web-services; web-service; learning; web; cloud-computing; integration-testing; data-uri-scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.3,34.5]","NA","English","information-technology","data-management","c4C7Kpm0EemfgRICI_I3ug"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Building Serverless Applications","Amazon Web Services","Advanced",19.5,4.65,"https://www.coursera.org/learn/aws-fundamentals-building-serverless-applications","This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises you'll learn skills in building and deploying serverless solutions. \\n\\nUsing real-world examples of a serverless website and chat bot, you'll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.\\n\\nIn this course, you'll have the option to complete hands-on exercises. We strongly suggest you take advantage of the AWS Free Tier to follow the lab exercises provided by throughout the course. Be aware that any services used outside of the free tier may result in you incurring charges through your AWS account. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the knowledge and skills to build serverless solutions on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon-web-services; application-programming-interfaces; chatterbots; identity-management; lexical-analysis; web-service; amazon-dynamodb; amazon-cloudfront; cloud-computing; web","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,35.2]","NA","English","information-technology","cloud-computing","nBOY_jY0Eem0_ArClQZx9A"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Going Cloud-Native","Amazon Web Services","Advanced",11.2,4.62,"https://www.coursera.org/learn/aws-fundamentals-going-cloud-native","This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you'll learn how to use and configure AWS services to deploy and host a cloud-native application. \\n\\nEarly in the course, your AWS instructors will discuss how the AWS cloud infrastructure is built, walk you through Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services. They'll also introduce you to networking on AWS, including how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, including Amazon Elastic Block Storage (EBS), Amazon Simple Storage Service (S3) and Amazon Elastic File Service (EFS). Later in the course you'll learn about AWS Database services, such as Amazon Relational Database Service (RDS) and Amazon DynomoDB. Your instructors will also walk you through how to monitor and scale you application on AWS using Amazon CloudWatch and Amazon EC2 Elastic Load Balancing (ELB) and Auto Scaling. Lastly, you'll learn about security on AWS, as well as how to manage costs when using the AWS cloud platform. \\n\\nIn this course, you won't be required to complete hands-on exercises, but we strongly suggest you take advantage of the AWS Free Tier to follow along as the instructors demonstrate the AWS services. Class forums will also allow you to ask questions and interact with AWS training instructors. After completing this course, you'll have the basic fundamentals to get started on AWS. \\n\\nThis course has been developed by AWS, and is delivered by AWS technical instructors who teach cloud computing courses around the globe.","amazon-web-services; autoscaling; load-balancing; web-service; database; amazon-dynamodb; amazon-elastic-compute-cloud; web; amazon-relational-database-service; cloud-computing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.5,16.1]","NA","English","information-technology","cloud-computing","Ye5LYpXGEeir-RIKs5gHUA"]
["2. Upskill","Amazon Web Services","AWS Fundamentals: Addressing Security Risk","Amazon Web Services","Intermediate",7.8,4.24,"https://www.coursera.org/learn/aws-fundamentals-addressing-security-risk","Through presentations, demonstrations, and readings, this course will introduce security concepts for use with Amazon Web Services (AWS). \\n\\nEach week will focus on different aspects of security on AWS.  In week one we will review some basic concepts such as \"least privilege\" and the \"shared security model\".  You will learn about AWS compliance programs, and look at securing AWS accounts using AWS IAM. \\n\\nIn the second week, we will focus on securing your infrastructure.  We will look at network isolation and endpoint security.  We will then look at detective controls such as Amazon Cloudtrail and AWS Cloudtrail as well as the AWS Security Hub, Amazon GuardDuty and AWS Config.\\n\\nWeek three will focus on data protection. We will look at encryption of data at rest, in motion, and best practices for how to store data within and between various AWS services.\\n\\nIn the final week of the course, we will look at protecting compute resources such as Amazon EC2 and AWS Lambda as well as managing secrets and finish off the course with a look at the AWS Well-Architected Framework.\\n\\nClass forums will also allow you to ask questions and interact with AWS training instructors.\\n\\nThis course has been developed by AWS, and is delivered by AWS Solutions Architects.","risk; amazon-web-services; web-service; identity-management; security; web; solution-architect; cloud-computing; management; cloud-computing-security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,9.3]","NA","English","information-technology","cloud-computing","xhRmx0_tEemoXg4ZX62OZA"]
["2. Upskill","Android Development","Java for Android","Vanderbilt University","Intermediate",36.5,4.45,"https://www.coursera.org/learn/java-for-android","This MOOC teaches you how to program core features and classes from the Java programming language that are used in Android, which is the dominant platform for developing and deploying mobile device apps. \\n\\nIn particular, this MOOC covers key Java programming language features that control the flow of execution through an app (such as Java’s various looping constructs and conditional statements), enable access to structured data (such as Java's built-in arrays and common classes in the Java Collections Framework, such as ArrayList and HashMap), group related operations and data into classes and interfaces (such as Java's primitive and user-defined types, fields, methods, generic parameters, and exceptions), customize the behavior of existing classes via inheritance and polymorphism (such as subclassing and overriding virtual methods). Learners will apply these Java features in the context of core Android components (such as Activities and basic UI elements) by applying common tools (such as Android Studio) needed to develop Java programs and useful Android apps.  \\n\\nLearners will work on several hands-on projects throughout the MOOC, i.e., each week will require learners to write solutions to programming assignments that reinforce the material covered in the lecture videos. There will be roughly 4-6 hours of student engagement time per week, including video lectures, quizzes, and programming assignments.","software; object-oriented-programming; java-annotation; java-software-platform; android-studio; logic-programming; java-programming-language; java-syntax; computer-programming; syntax","Android App Development",1.0,"https://www.coursera.org/specializations/android-app-development","This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms.\\n\\nThe Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.","[13.3,58.4]","NA","English","computer-science","mobile-and-web-development","8UQBnm04EeWyAQ6K5KeLkw"]
["2. Upskill","Android Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.53,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","apache-cordova; graphical-environment-manager; android-software-development; ionic-mobile-app-framework; mobile-application-development; angularjs; mobile-app; typescript; web-design; web","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.4,38.2]","NA","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["2. Upskill","Applied Machine Learning","Applied Machine Learning in Python","University of Michigan","Advanced",23.3,4.6,"https://www.coursera.org/learn/python-machine-learning","This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. cross validation, overfitting). The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. By the end of this course, students will be able to identify the difference between a supervised (classification) and unsupervised (clustering) technique, identify which technique they need to apply for a particular dataset and need, engineer features to meet that need, and write python code to carry out an analysis. \\n\\nThis course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python.","python-programming-language; learning; supervised-learning; machine-learning; machine-learning-algorithms; list-of-machine-learning-concepts; algorithms; computer-programming; scikit-learn; evaluation","Applied Data Science with Python",3.0,"https://www.coursera.org/specializations/data-science-python","The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.\\n\\nIntroduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.","[14.8,32]","Korean","English","data-science","data-analysis","di4l_R0lEeaP7xL2JHHq4w"]
["2. Upskill","Applied Machine Learning","Structuring Machine Learning Projects","deeplearning.ai","Intermediate",7.0,4.78,"https://www.coursera.org/learn/machine-learning-projects","You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how.\\n\\nMuch of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two \"flight simulators\" that let you practice decision-making as a machine learning project leader. This provides \"industry experience\" that you might otherwise get only after years of ML work experience.\\n\\nAfter 2 weeks, you will: \\n- Understand how to diagnose errors in a machine learning system, and \\n- Be able to prioritize the most promising directions for reducing error\\n- Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance\\n- Know how to apply end-to-end learning, transfer learning, and multi-task learning\\n\\nI've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time.\\n\\nThis is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization.","project; type-i-and-type-ii-errors; analysis; error; approximation-error; computer-multitasking; multi-task-learning; machine-learning; learning; deep-learning","Deep Learning",3.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[4.5,8]","Turkish; Chinese; Spanish; Korean","English","data-science","data-analysis","-7ZymCvBEee6gA5XksfBbg"]
["2. Upskill","Applied Machine Learning","Applying Machine Learning to your Data with GCP","Google Cloud","Beginner",13.3,4.72,"https://www.coursera.org/learn/data-insights-gcp-apply-ml","In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.\\n\\nPREREQUISITES\\nTo get the most out of this course, participants must complete the prior courses in this specialization:\\n• Exploring and Preparing your Data\\n• Storing and Visualizing your Data\\n• Architecture and Performance\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","big-data; cloud-computing; learning; data-segment; google; cloud-platforms; applied-machine-learning; google-cloud-platform; bigquery; machine-learning","From Data to Insights with Google Cloud Platform",4.0,"https://www.coursera.org/specializations/from-data-to-insights-google-cloud-platform","Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!\\n\\nThis four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.\\n\\nThis specialization is intended for the following participants:\\n\\n● Data Analysts, Business Analysts, Business Intelligence professionals\\n\\n● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform\\n\\nTo get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[4.4,18.3]","Japanese","English","information-technology","data-management","T_e2Fp5sEeehoxIgNgFKoA"]
["2. Upskill","Applied Machine Learning","Introduction to Applied Machine Learning","Alberta Machine Intelligence Institute","Intermediate",8.9,4.66,"https://www.coursera.org/learn/machine-learning-applied","This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.\\n\\nBy the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.\\n\\nThis is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.","applied-machine-learning; artificial-intelligence-applications; learning; machine-learning; artificial-intelligence","Machine Learning: Algorithms in the Real World",1.0,"https://www.coursera.org/specializations/machine-learning-algorithms-real-world","This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application.\\n\\nAfter completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.","[4.7,12.7]","NA","English","data-science","machine-learning","kaqaonCMEemORhJE5rEKUA"]
["2. Upskill","Artificial Neural Network","Neural Networks and Deep Learning","deeplearning.ai","Beginner",17.4,4.87,"https://www.coursera.org/learn/neural-networks-deep-learning","If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new \"superpower\" that will let you build AI systems that just weren't possible a few years ago. \\n\\nIn this course, you will learn the foundations of deep learning. When you finish this class, you will:\\n- Understand the major technology trends driving Deep Learning\\n- Be able to build, train and apply fully connected deep neural networks \\n- Know how to implement efficient (vectorized) neural networks \\n- Understand the key parameters in a neural network's architecture \\n\\nThis course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. \\n\\nThis is the first course of the Deep Learning Specialization.","backpropagation; numpy; artificial-neural-network; logistic-regression; python-programming-language; supply-chain; learning; computer-programming; feedforward-neural-network; deep-learning","Deep Learning",1.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[11.6,20.1]","Arabic; Chinese; Turkish; Korean; Portuguese; Spanish; Ukrainian; Japanese; Vietnamese; French","English","data-science","machine-learning","W_mOXCrdEeeNPQ68_4aPpA"]
["2. Upskill","Artificial Neural Network","Convolutional Neural Networks","deeplearning.ai","Beginner",20.6,4.84,"https://www.coursera.org/learn/convolutional-neural-networks","This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. \\n\\nYou will:\\n- Understand how to build a convolutional neural network, including recent variations such as residual networks.\\n- Know how to apply convolutional networks to visual detection and recognition tasks.\\n- Know to use neural style transfer to generate art.\\n- Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data.\\n\\nThis is the fourth course of the Deep Learning Specialization.","artificial-neural-network; computer-vision; face-recognition; convolutional-neural-network; detection; facial-recognition-system; keras; deep-learning; object-detection; tensorflow","Deep Learning",4.0,"https://www.coursera.org/specializations/deep-learning","If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.\\n\\nIn five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.\\n\\nYou will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.\\n\\nAI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.\\n\\nWe will help you master Deep Learning, understand how to apply it, and build a career in AI.","[13.8,23.6]","Turkish; Spanish; Japanese; Korean; Chinese","English","data-science","machine-learning","kWGvJivBEeeW5RJUyz1uFA"]
["2. Upskill","Artificial Neural Network","Convolutional Neural Networks in TensorFlow","deeplearning.ai","Beginner",8.8,4.59,"https://www.coursera.org/learn/convolutional-neural-networks-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. \\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","tensorflow; convolution; convolutional-neural-network; image-processing; statistical-classification; inductive-transfer; keras; learning; multiclass-classification; artificial-neural-network","TensorFlow in Practice",2.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[3.2,15.9]","NA","English","data-science","machine-learning","5mAuak8zEemKoQ4qeYq26g"]
["2. Upskill","Big Data","Big Data, Artificial Intelligence, and Ethics","University of California, Davis","Beginner",17.7,4.67,"https://www.coursera.org/learn/big-data-ai-ethics","This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.","big-data; ethics-of-artificial-intelligence; computational-social-science","Computational Social Science",2.0,"https://www.coursera.org/specializations/computational-social-science-ucdavis","For more information please view the Computational Social Science Trailer\\n\\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\\n\\nAn increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.\\n\\nThis specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behavior with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.","[10.5,28.6]","NA","English","data-science","data-analysis","W0t1pk86Eem5IQ5Koqu4WA"]
["2. Upskill","Big Data","Big Data Emerging Technologies","Yonsei University","Advanced",14.0,4.71,"https://www.coursera.org/learn/big-data-emerging-technologies","Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. Simply put, big data technology is not an option for your company, it is a necessity for survival and growth. So now is the right time to learn what big data is and how to use it in advantage of your company. This 6 module course first focuses on the world’s industry market share rankings of big data hardware, software, and professional services, and then covers the world’s top big data product line and service types of the major big data companies. Then the lectures focused on how big data analysis is possible based on the world’s most popular three big data technologies Hadoop, Spark, and Storm. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. This course was designed to prepare you to be more successful in businesses strategic planning in the upcoming big data era. Welcome to the amazing Big Data world!","market-share; spss; emerging-technologies; apache-hadoop; analytics; data-uri-scheme; data-segment; big-data-analytics; big-data; apache-spark","Emerging Technologies: From Smartphones to IoT to Big Data",1.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.7,19.1]","Spanish","English","information-technology","data-management","Dczd1BkJEeiB4A69UvpT_g"]
["2. Upskill","Cloud Engineering","Essential Cloud Infrastructure: Foundation","Google Cloud","Beginner",10.7,4.72,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","virtual-private-networks; cloud-infrastructure; virtual-machine; cloud-platforms; virtual-private-cloud; google; google-compute-engine; google-cloud-platform; cloud-computing; private-network","Architecting with Google Compute Engine",2.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.7,13.2]","NA","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["2. Upskill","Cloud Engineering","Essential Cloud Infrastructure: Core Services","Google Cloud","Beginner",29.2,4.69,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google; identity-management; cloud-platforms; bigquery; google-cloud-platform; debugging; sql; cloud-storage; cloud-computing; management","Architecting with Google Compute Engine",3.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[10.4,50.3]","NA","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["2. Upskill","Cloud Engineering","Elastic Cloud Infrastructure: Scaling and Automation","Google Cloud","Beginner",26.3,4.66,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","management; load-balancing; google-cloud-platform; cloud-infrastructure; managed-services; cloud-computing; autoscaling; google; deployment-environment; virtual-private-networks","Architecting with Google Compute Engine",4.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[9.7,44.1]","NA","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["2. Upskill","Cloud Infrastructure","Reliable Cloud Infrastructure: Design and Process","Google Cloud","Beginner",11.5,4.72,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This online course equips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and principles derived from Google Site Reliability Engineering (SRE). It is a continuation of the Architecting with Google Compute Engine Specialization and assumes hands-on experience with the technologies covered in the other courses in the specialization.\\nThrough a combination of presentations, challenges, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.\\n\\nThis course teaches participants the following skills:\\n● Design for high availability, scalability, and maintainability.\\n● Assess tradeoffs and make sound choices among Google Cloud Platform products..\\n● Integrate on-premises and cloud resources.\\n● Identify ways to optimize resources and minimize cost.\\n● Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis.\\n● Implement policies that minimize security risks, such as auditing, separation of duties and least privilege.\\n● Implement technologies and processes that assure business continuity in the event of a disaster.\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization or equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment","site-reliability-engineering; security; google; google-cloud-platform; cloud-platforms; reliability-engineering; process; cloud-computing; cloud-infrastructure; deployment-environment","Architecting with Google Compute Engine",5.0,"https://www.coursera.org/specializations/gcp-architecture","This specialization introduces learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nThis class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.\\n\\nNote: This Specialization used to be called Architecting with Google Cloud Platform. As the Specialization is now focused on Compute Engine as the computing platform, we have renamed it to Architecting with Google Compute Engine. If you are looking to learn more about App Engine, Cloud Functions and Google Kubernetes Engine, which are services previously covered in the Elastic Cloud Infrastructure: Containers and Services course of this specialization, please refer to the Developing Applications with Google Cloud Platform Specialization and the Architecting with Kubernetes Engine Specialization.\\n\\n>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","[5.9,14.3]","Indonesian; French; German; Portuguese; Japanese; Spanish","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["2. Upskill","Cloud Storage","Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","Beginner",30.0,4.61,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.","google-cloud-platform; cloud-computing; learning; google-cloud-dataproc; machine-learning; cloud-platforms; google; bigquery; big-data; tensorflow","Data Engineering with Google Cloud",1.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[11.4,53]","NA","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["2. Upskill","Cloud Storage","Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","Beginner",11.2,4.64,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.","data-clustering-algorithms; cloud-computing; cluster-analysis; data-warehousing; google; data-lake; bigquery; record-computer-science; sql; cloud-storage","Data Engineering with Google Cloud",2.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[7,13.7]","NA","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["2. Upskill","Cloud Storage","Preparing for the Google Cloud Professional Data Engineer Exam","Google Cloud","Advanced",14.6,4.58,"https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.","google-cloud-platform; dataflow; information-engineering; google; google-cloud-dataproc; test-preparation; cloud-platforms; data-segment; bigquery; cloud-computing","Data Engineering with Google Cloud",6.0,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[8.5,17.5]","Portuguese; Spanish; Japanese","English","information-technology","cloud-computing","AZZak_fXEeiy5gqB-GZ7rA"]
["2. Upskill","Continuous Delivery","DevOps Culture and Mindset","University of California, Davis","Beginner",18.1,4.83,"https://www.coursera.org/learn/devops-culture-and-mindset","This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work. We’ll learn about strategies to manage work, monitor it, keep it organized, and maintain a high level of quality by following key DevOps principles. We’ll also discuss various organizational models and structures that are used by companies in their DevOps transformations. You’ll learn about value stream mapping, and ensuring continuous workflow. Ultimately, we'll learn key ideas and tactics that you can employ at your own organizations to improve both time-to-market and increase the value delivered for your customers, no matter your product line or industry.","lean-software-development; system-integration; devops; software; continuous-delivery; leadership; systems-thinking; best-practice; software-engineering; device-file","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,21]","NA","English","computer-science","software-development","Q5Krn5BMEei3MQqxoqmsBA"]
["2. Upskill","Cryptography","Cryptography and Information Theory","University of Colorado System","Intermediate",9.4,4.37,"https://www.coursera.org/learn/crypto-info-theory","Welcome to Cryptography and Information Theory! \\n\\nThis course combines cryptography (the techniques for protecting information from unauthorized access) and information theory (the study of information coding and transfer). More specifically, the course studies cryptography from the information-theoretical perspectives and discuss the concepts such as entropy and the attacker knowledge capabilities, e.g., Kerckhoff's Principle. It also contrasts information-theoretic security and computational security to highlight the different train of thoughts that drive the cryptographic algorithmic construction and the security analyses.\\n\\nThis course is a part of the Applied Cryptography specialization.","security-through-obscurity; cryptanalysis; cryptography; data-access; information-theoretic-security; side-channel-attack; computation; information-theory; pseudocode; entropy-information-theory","Applied Cryptography",1.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[4,14.9]","NA","English","computer-science","computer-security-and-networks","9xAhpFESEeetjQ5ppGVTyA"]
["2. Upskill","Cryptography","Symmetric Cryptography","University of Colorado System","Advanced",26.5,4.51,"https://www.coursera.org/learn/symmetric-crypto","Welcome to Symmetric Cryptography! \\n\\nSymmetric cryptography relies on shared secret key to ensure message confidentiality, so that the unauthorized attackers cannot retrieve the message. The course describes substitution and transposition techniques, which were the bases for classical cryptography when the message is encoded in natural language such as English. Then, we build on product ciphers (using both substitution and transposition/permutation) to describe modern block ciphers and review the widely used cipher algorithms in DES, 3-DES, and AES. Lastly, we enable the use of block ciphers to support variable data length by introducing different modes of block cipher operations in ECB, CBC, CFB, OFB, and CTR modes.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","block-cipher; stream-cipher; streams; data-access; block-cipher-mode-of-operation; modulo-operation; symmetric-key-algorithm; cipher; cryptography; permutations","Applied Cryptography",2.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[7.8,42.5]","NA","English","computer-science","computer-security-and-networks","N0UXuVEUEeeMogo_t-e1wg"]
["2. Upskill","Cryptography","Asymmetric Cryptography and Key Management","University of Colorado System","Advanced",12.3,4.5,"https://www.coursera.org/learn/asymmetric-crypto","Welcome to Asymmetric Cryptography and Key Management! \\n\\nIn asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic.\\n\\nThis course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.","cryptography; public-key-cryptography; key-exchange; cipher; pairing; key-management; key-cryptography; algorithms; key-distribution; management","Applied Cryptography",3.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[4,17.6]","NA","English","computer-science","computer-security-and-networks","qRzsCVEUEeeF5RIYZYolcA"]
["2. Upskill","Cryptography","Cryptographic Hash and Integrity Protection","University of Colorado System","Advanced",14.5,4.35,"https://www.coursera.org/learn/cryptographic-hash-integrity-protection","Welcome to Cryptographic Hash and Integrity Protection! \\n\\nThis course reviews cryptographic hash functions in general and their use in the forms of hash chain and hash tree (Merkle tree). Building on hash functions, the course describes message authentication focusing on message authentication code (MAC) based on symmetric keys. We then discuss digital signatures based on asymmetric cryptography, providing security properties such as non-repudiation which were unavailable in symmetric-cryptography-based message authentication.\\n\\nThis course is a part of the Applied Cryptography specialization.","cryptographic-hash-function; digital-signature; hashing; message-authentication; hash-function; cryptography; signature; authentication; message-authentication-code; data-integrity","Applied Cryptography",4.0,"https://www.coursera.org/specializations/applied-crypto","This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.","[6,22.4]","NA","English","computer-science","computer-security-and-networks","7CP_xlETEeeMogo_t-e1wg"]
["2. Upskill","Data Structures","Ordered Data Structures","University of Illinois at Urbana-Champaign","Intermediate",22.8,4.75,"https://www.coursera.org/learn/cs-fundamentals-2","In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.","binary-search-tree; binary-tree; avl-tree; data-segment; heap-data-structure; arrays; data-structure; stack-abstract-data-type; search-tree; binary-search-algorithm","Accelerated Computer Science Fundamentals",2.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[11.7,37.7]","NA","English","computer-science","software-development","MVZ09jVhEemVlQ65Erh-fA"]
["2. Upskill","Data Structures","Unordered Data Structures","University of Illinois at Urbana-Champaign","Intermediate",17.6,4.8,"https://www.coursera.org/learn/cs-fundamentals-3","The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.","data-segment; tree-traversal; graph-abstract-data-type; graph-traversal; data-structure; algorithms; graphs; dijkstras-algorithm; hashing; graph-algorithms","Accelerated Computer Science Fundamentals",3.0,"https://www.coursera.org/specializations/cs-fundamentals","Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\\n\\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare for the Online MCS Entrance Exam. The Online MCS Entrance Exam allows applicants who do not have graded and transcripted prerequisite CS coursework in the areas of data structures, algorithms, and object-oriented programming to strengthen their applications for admission. Learn more about the Online MCS Entrance Exam.","[10,23.7]","NA","English","computer-science","software-development","sI_-QEBiEemtDRLx7Ne8jg"]
["2. Upskill","Data Structures","Data Structures and Performance","University of California San Diego","Intermediate",28.5,4.78,"https://www.coursera.org/learn/data-structures-optimizing-performance","How do Java programs deal with vast quantities of data? Many of the data structures and algorithms that work with introductory toy examples break when applications process real, large data sets.  Efficiency is critical, but how do we achieve it, and how do we even measure it?\\n\\nThis is an intermediate Java course. We recommend this course to learners who have previous experience in software development or a background in computer science, and in particular, we recommend that you have taken the first course in this specialization (which also requires some previous experience with Java).  \\n\\nIn this course, you will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables.  You will explain how these data structures make programs more efficient and flexible.  You will apply asymptotic Big-O analysis to describe the performance of algorithms and evaluate which strategy to use for efficient data retrieval, addition of new data, deletion of elements, and/or memory usage.\\n\\nThe program you will build throughout this course allows its user to manage, manipulate and reason about large sets of textual data.  This is an intermediate Java course, and we will build on your prior knowledge.  This course is designed around  the same video series as in our first course in this specialization, including explanations of core content, learner videos, student and engineer testimonials, and support videos -- to better allow you to choose your own path through the course!","data-segment; list-and-label; java-software-platform; data-structure; hashing; algorithms; java-programming-language; linked-list; computer-programming; data-uri-scheme","Object Oriented Java Programming: Data Structures and Beyond",2.0,"https://www.coursera.org/specializations/java-object-oriented","This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.","[19.2,42.3]","Korean","English","computer-science","algorithms","RO728xoIEeWg_RJGAuFGjw"]
["2. Upskill","Database Design","Database Management Essentials","University of Colorado System","Advanced",27.8,4.49,"https://www.coursera.org/learn/database-management","Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle or MySQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle or MySQL.","database-normalization; database-design; entity-relationship-model; database; data-model; data-uri-scheme; sql; management; modeling; data-modeling","Data Warehousing for Business Intelligence",1.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[14.1,37.2]","Chinese; Korean","English","computer-science","software-development","qLFYrxnoEeWwrBKfKrqlSQ"]
["2. Upskill","Database Design","Data Warehouse Concepts, Design, and Data Integration","University of Colorado System","Advanced",28.0,4.42,"https://www.coursera.org/learn/dwdesign","This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence.\\n\\nIn this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. \\nThese are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects.  \\n\\nIn this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to:\\n   * Evaluate an organization for data warehouse maturity and business architecture alignment;\\n   * Create a data warehouse design and reflect on alternative design methodologies and design goals;\\n   * Create data integration workflows using prominent open source software;\\n   * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and\\n   * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software","data-cube; pentaho; data-model; extract--transform--load; data-integration; lambda-cube; loading-screen; data-warehousing; data-uri-scheme; data-modeling","Data Warehousing for Business Intelligence",2.0,"https://www.coursera.org/specializations/data-warehousing","Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.\\n\\nThis Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.","[10.7,43.6]","NA","English","computer-science","design-and-product","yWjlOBnoEeWg_RJGAuFGjw"]
["2. Upskill","Database Design","Managing Big Data with MySQL","Duke University","Beginner",24.7,4.64,"https://www.coursera.org/learn/analytics-mysql","This course is an introduction to how to use relational databases in business analysis.  You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them.  This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.  You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself!\\n\\nBy the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world.","teradata; language; data-analysis; mysql; analysis; query-language; database; omega-language; sql; data-uri-scheme","Excel to MySQL: Analytic Techniques for Business",4.0,"https://www.coursera.org/specializations/excel-mysql","Formulate data questions, explore and visualize large datasets, and inform strategic decisions.\\n\\nIn this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.\\n\\nThe Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.","[15.5,29.9]","Chinese; Vietnamese; Russian; Spanish; Korean","English","data-science","data-analysis","GplkvRnqEeW9dA4X94-nLQ"]
["2. Upskill","Database Design","SQL for Data Science","University of California, Davis","Beginner",20.8,4.47,"https://www.coursera.org/learn/sql-for-data-science","As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.\\n\\nThis course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.  You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. \\n\\nYou will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. \\n\\nAlthough we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!","database; data-model; data-segment; data-profiling; sqlite; data-science; data-analysis; sql; analysis; data-uri-scheme","Learn SQL Basics for Data Science",1.0,"https://www.coursera.org/specializations/learn-sql-basics-data-science","This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.","[12.9,36.5]","NA","English","data-science","data-analysis","_8FRmSXkEeeCDQ44DPGlIA"]
["2. Upskill","Front-End Web Development","Front-End Web UI Frameworks and Tools: Bootstrap 4","The Hong Kong University of Science and Technology","Intermediate",29.3,4.75,"https://www.coursera.org/learn/bootstrap-4","This course will give you an overview of client-side web UI frameworks, in particular Bootstrap 4. You will learn about grids and responsive design, Bootstrap CSS and JavaScript components. You will learn about CSS preprocessors, Less and Sass. You will also learn the basics of Node.js and NPM and task runners like Grunt and Gulp.\\nAt the end of this course, you will be able to a)Set up, design and style a web page using Bootstrap 4 and its components, b) Create a responsive web page design, and c) Make use of web tools to setup and manage web sites.\\nThis course also includes an honors track that enables you to work on your own project developing a website using Bootstrap 4.\\nStudents enrolling in this course should have prior good working knowledge of HTML, CSS and JavaScript.","jquery; language; cascading-style-sheets; software-as-a-service; web; omega-language; nodedotjs; bootstrap-front-end-framework; sass-stylesheet-language; javascript","Full Stack Web and Multiplatform Mobile App Development",1.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[21.3,36.1]","NA","English","computer-science","mobile-and-web-development","B7S6P6yjEeaPvQ5eOPtN_A"]
["2. Upskill","Front-End Web Development","Front-End JavaScript Frameworks: Angular","The Hong Kong University of Science and Technology","Intermediate",36.9,4.72,"https://www.coursera.org/learn/angular","This course concentrates mainly on Javascript based front-end frameworks, and in particular the Angular framework (Currently Ver. 6.x). This course will use Typescript for developing Angular application. Typescript features will be introduced in the context of Angular as part of the exercises. You will also get an introduction to the use of Angular Material and Angular Flex-Layout for responsive UI design. You will be introduced to various aspects of Angular including components, directives and services. You will learn about data binding, Angular router and its use for developing single-page applications. You will also learn about designing both template-driven forms and reactive forms. A quick introduction to Observables, reactive programming and RxJS in the context of Angular is included. You will then learn about Angular support for client-server communication through the HTTP client and the use of REST API on the server side. A quick tour through Angular animation support and Angular testing rounds off the course. You must have either completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of front end web-UI frameworks to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript frameworks and the Angular framework\\n- Be able to implement single page applications in Angular\\n- Be able to use various Angular features including directives, components and services\\n- Be able to implement a functional front-end web application using Angular\\n- Be able to use Angular Material and Angular Flex-Layout for designing responsive Angular applications\\n- Be able to use Observables and RxJS in the context of Angular applications","web-development; web; javascript; reactive-programming; materials; representational-state-transfer; nodedotjs; typescript; angularjs; computer-programming","Full Stack Web and Multiplatform Mobile App Development",2.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[26.4,46.3]","NA","English","computer-science","mobile-and-web-development","7KOMkK4bEeaXlg7d4yL0LA"]
["2. Upskill","Front-End Web Development","Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova","The Hong Kong University of Science and Technology","Advanced",26.4,4.53,"https://www.coursera.org/learn/ionic-cordova","This course focuses on developing multiplatform mobile applications using the Web technologies (HTML5, CSS and Javascript). In particular we make use of the Cordova hybrid application framework to develop and target multiple mobile platforms with a single codebase. We make use of the Ionic framework (Ionic Ver 3.x), one of the most popular mobile application frameworks, that is built with mobile-optimized HTML5 and CSS based components and Angular. You will learn about UI development with Ionic and then using Cordova's modules to access the native mobile platform's capabilities from Javascript. You should have already completed the Bootstrap 4 and the Angular courses in this specialization before proceeding with this course.\\n\\nAt the end of this course you will be able to (a) Build mobile applications targeting multiple platforms with a single codebase, (b) Leverage your HTML5, CSS, Javascript and Angular skills, and (c) Use various features of the Ionic framework to build hybrid mobile applications","apache-cordova; graphical-environment-manager; android-software-development; ionic-mobile-app-framework; mobile-application-development; angularjs; mobile-app; typescript; web-design; web","Full Stack Web and Multiplatform Mobile App Development",3.0,"https://www.coursera.org/specializations/full-stack-mobile-app-development","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.","[16.4,38.2]","NA","English","computer-science","mobile-and-web-development","QJATKa4cEeaHBgqkZt_jWA"]
["2. Upskill","Front-End Web Development","Front-End Web Development with React","The Hong Kong University of Science and Technology","Intermediate",32.6,4.58,"https://www.coursera.org/learn/front-end-react","This course explores Javascript based front-end application development, and in particular the React library (Currently Ver. 16.3). This course will use JavaScript ES6 for developing React application. You will also get an introduction to the use of Reactstrap for Bootstrap 4-based responsive UI design. You will be introduced to various aspects of React components. You will learn about React router and its use in developing single-page applications. You will also learn about designing controlled forms. You will be introduced to the Flux architecture and Redux. You will explore various aspects of Redux and use it to develop React-Redux powered applications. You will then learn to use Fetch for client-server communication and the use of REST API on the server side. A quick tour through React animation support and testing rounds off the course. You must have preferably completed the previous course in the specialization on Bootstrap 4, or have a working knowledge of Bootstrap 4 to be able to navigate this course. Also a good working knowledge of JavaScript, especially ES 5 is strongly recommended.\\n\\nAt the end of this course you will:\\n\\n- Be familiar with client-side Javascript application development and the React library\\n- Be able to implement single page applications in React\\n- Be able to use various React features including components and forms\\n- Be able to implement a functional front-end web application using React\\n- Be able to use Reactstrap for designing responsive React applications\\n- Be able to use Redux to design the architecture for a React-Redux application","nodedotjs; webpack; front-end-web-development; json; web-development; react-javascript-library; javascript-library; javascript; redux; web","Full-Stack Web Development with React",2.0,"https://www.coursera.org/specializations/full-stack-react","Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution.\\n\\nThe first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript.\\n\\nIdeally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.","[22.8,41.4]","NA","English","computer-science","mobile-and-web-development","yG1EARC8EeiWoAqBnMlvMg"]
["2. Upskill","Front-End Web Development","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.9,4.46,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","web-development; html5; web-page; html; algorithms; style-sheets; javascript; cascading-style-sheets; web; computer-programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.5,25.9]","NA","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["2. Upskill","Front-End Web Development","HTML, CSS, and Javascript for Web Developers","Johns Hopkins University","Beginner",32.2,4.8,"https://www.coursera.org/learn/html-css-javascript-for-web-developers","Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.\\n\\nIn this course, we will learn the basic tools that every web page coder needs to know. We will start from the ground up by learning how to implement modern web pages with HTML and CSS. We will then advance to learning how to code our pages such that its components rearrange and resize themselves automatically based on the size of the user’s screen. You’ll be able to code up a web page that will be just as useful on a mobile phone as on a desktop computer. No “pinch and zoom” required! Last but certainly not least, we will get a thorough introduction to the most ubiquitous, popular, and incredibly powerful language of the web: Javascript. Using Javascript, you will be able to build a fully functional web application that utilizes Ajax to expose server-side functionality and data to the end user.","html5; javascript; css-code; web; css-frameworks; cascading-style-sheets; html; bootstrap-front-end-framework; ajax-programming; computer-programming","Ruby on Rails Web Development",4.0,"https://www.coursera.org/specializations/ruby-on-rails","This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.","[21.5,40.7]","Korean","English","computer-science","mobile-and-web-development","vhLVVTe9EeWnxw5wP_KHTw"]
["2. Upskill","Front-End Web Development","Interactivity with JavaScript","University of Michigan","Beginner",11.4,4.65,"https://www.coursera.org/learn/javascript","If you want to take your website to the next level, the ability to incorporate interactivity is a must.    But adding some of these types of capabilities requires a stronger programming language than HTML5 or CSS3, and JavaScript can provide just what you need.  With just a basic understanding of the language, you can create a page that will react to common events such as page loads, mouse clicks & movements, and even keyboard input.      \\n\\nThis course will introduce you to the basics of the JavaScript language.  We will cover concepts such as variables, looping, functions, and even a little bit about debugging tools.  You will understand how the Document Object Model (DOM) is used by JavaScript to identify and modify specific parts of your page.  After the course, learners will be able to react to DOM Events and dynamically alter the contents and style of their page.   The class will culminate in a  final project - the creation of an interactive HTML5 form that accepts and verifies input.\\n\\nThis is the third course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class.    Additional courses focus on enhancing the styling with responsive design and completing a capstone project.","web; javascript-syntax; computer-programming; interactivity; document-object-model; web-programming; web-design; web-development; javascript; syntax","Web Design for Everybody: Basics of Web Development & Coding",3.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[7,14.5]","NA","English","computer-science","mobile-and-web-development","CJs0DTk_EeWYbg7p2_3OHQ"]
["2. Upskill","Front-End Web Development","Advanced Styling with Responsive Design","University of Michigan","Beginner",8.7,4.7,"https://www.coursera.org/learn/responsivedesign","It used to be the case that everyone viewed webpages on about the same size screen.  But with the explosion of the use of smartphones to access the Internet, the landscape of design has completely changed.  People viewing your site will now expect that it will perform regardless of the platform (smartphone, tablet, laptop, or desktop computer).  This ability to respond to any platform is called responsive design.\\n\\nThis course will expand upon the basic knowledge of CSS3 to include topics such as wireframes, fluid design, media queries, and the use of existing styling paradigms such as Bootstrap.  After the course, learners will be able to:\\n** Explain the mobile-first paradigm and the importance of wireframes in the design phase\\n** Create sites that behave across a range of platforms\\n** Utilize existing design frameworks such as Bootstrap\\n\\nThis is the fourth course in the Web Design For Everybody specialization.  A basic understanding of HTML and CSS is expected when you enroll in this class. Additional courses focus on adding interactivity with the JavaScript Programming Language and completing a capstone project.","web-design; web; web-development; media-queries; bootstrap-front-end-framework; javascript; html; websites; cascading-style-sheets; responsive-web-design","Web Design for Everybody: Basics of Web Development & Coding",4.0,"https://www.coursera.org/specializations/web-design","This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.","[5.1,11]","NA","English","computer-science","mobile-and-web-development","g9KhGjk_EeWXuQopUhAqaw"]
["2. Upskill","Graphic Design","Graphic Design","University of Colorado Boulder","Intermediate",11.0,4.7,"https://www.coursera.org/learn/presentation-design","Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale.\\n\\nThis practical course gives you the tools  to create professional looking Powerpoints, reports, resumes, and presentations.. Using a set of best practices refined through years of experience, you’ll: \\n\\n• make your work look fresh and inspired.\\n• apply simple design “tricks” to begin any project with confidence and professionalism.\\n• receive and respond to criticism and revise your project from good to great.\\n\\n\"This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online.\" - a recent Graphic Design student\\n\\nAll of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign.","professional; presentation; typography; poster; graphic-design; graphics; communication; best-practice; learning; integration-testing","Effective Communication: Writing, Design, and Presentation",2.0,"https://www.coursera.org/specializations/effective-business-communication","Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do.\\n\\nWhat our students say:\\n\\n\"A life-changing specialization.\"\\n\\n\"Simple yet powerful rules.\"\\n\\n\"Essential for everyone.\"","[4.1,14]","Italian; Arabic","English","business","business-essentials","EH0q6oysEeWIbw4397jVQw"]
["2. Upskill","Graphic Design","Fundamentals of Graphic Design","California Institute of the Arts","Beginner",13.5,4.72,"https://www.coursera.org/learn/fundamentals-of-graphic-design","Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture.\\n\\nThrough visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects.\\n\\nAt the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design.\\n\\nTo succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.","design-theory; typography; graphics; learning; creativity; graphic-design; color-theory; art; adobe-photoshop; integration-testing","Graphic Design",1.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[8.6,16.1]","Spanish","English","arts-and-humanities","music-and-art","I82JCSWXEeWtRg6boA3D-Q"]
["2. Upskill","Graphic Design","Introduction to Typography","California Institute of the Arts","Beginner",9.9,4.75,"https://www.coursera.org/learn/typography","Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.\\n\\nIn this rigorous introductory course, we will study, name, and measure the characteristics of letterforms. We’ll consider the pragmatic concerns involved in selecting and combining type. We’ll peek into the \u2028rich historical, cultural, and aesthetic histories of familiar typefaces. We’ll discuss time-tested conventions and best practices in setting type, as governed by principles of hierarchy and spatial organization. And we’ll explore the expressive, meaning-making potential of type. \\n\\nInformative lectures will be complemented by a series of three peer-assessed assignments, culminating \u2028in an opportunity to design a full-scale typographic poster.\\n\\nPlease note that this is not a software course; a basic working knowledge of Adobe InDesign or other \u2028page layout software will be assumed. You will need access to a computer and page layout software, such as InDesign, to complete the assignments.","graphic-design; creativity; design-theory; history; poster; graphics; typography; adobe-indesign; poster-design; integration-testing","Graphic Design",2.0,"https://www.coursera.org/specializations/graphic-design","Graphic design is all around us, in a myriad of forms, both on screen and in print, yet it is always made up of images and words to create a communication goal. This four-course sequence exposes students to the fundamental skills required to make sophisticated graphic design: process, historical context, and communication through image-making and typography. The sequence is completed by a capstone project that applies the skills of each course and peer feedback in a finished branding project suitable for a professional portfolio.\\n\\nThe goal of this specialization is to equip learners with a set of transferable formal and conceptual tools for “making and communicating” in the field of graphic design. This core skill set will equip learners for formal studies in graphic design, and a starting point for further work in interface design, motion graphics, and editorial design.","[6.4,11.7]","NA","English","arts-and-humanities","music-and-art","BPkiQyWcEeWxbhIkPfddLQ"]
["2. Upskill","iOS Development","Best Practices for iOS User Interface Design","University of California, Irvine","Beginner",22.1,4.5,"https://www.coursera.org/learn/ui","You will learn to develop sophisticated user interfaces for iOS, with a focus on user interface design best practices, UI animations, and responsive design. You will learn about the key UI widgets, mapping interfaces and view restoration.","java-annotation; user-interface; inheritance-object-oriented-programming; interfaces; list-of-facebook-features; ios; user-interface-design; peering","iOS Development for Creative Entrepreneurs",3.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[16.9,26]","NA","English","computer-science","mobile-and-web-development","bTYGrDVuEeW6RApRXdjJPw"]
["2. Upskill","iOS Development","Introduction to Programming in Swift 5","LearnQuest","Beginner",21.3,4.59,"https://www.coursera.org/learn/swift-5-programming-introduction","Welcome to Introduction to Programming in Swift 5.\\n\\nIn this course we will introduce you to the absolute basics of the Swift programming language.  Whether you are a brand new programmer or have experience with other programming languages this course is for you.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tAn Introduction to Swift 5 programming concepts\\n•\\tInstalling the necessary tools\\n•\\tWorking with data such as Integers and Strings\\n•\\tCreating reusable code with functions\\n•\\tWorking with data constructs such as arrays and dictionaries\\n•\\tObject-oriented programming\\n•\\tModel View Controller\\n\\nBy the end of this course you will know how to build simple programs with the Swift programming language and you will be ready to learn iOS mobile development.","programming-language; language; swift-programming-language; computer-programming; omega-language; xcode; ios","Swift 5 iOS Application Developer",1.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[6.3,30.9]","NA","English","computer-science","software-development","FSiMnrrVEemgqQ5Sr_yJXA"]
["2. Upskill","iOS Development","Introduction to iOS App Development with Swift 5","LearnQuest","Intermediate",16.9,4.65,"https://www.coursera.org/learn/ios-app-development-swift-5","Welcome to Introduction to iOS Application Development with Swift 5.\\n\\nIn this course you'll use your Swift skills to create iOS applications.\\n\\nSome of the things you will learn in this course are:\\n\\n•\\tWrite the code to build your very first iOS application\\n•\\tManage screen display with multiple views\\n•\\tUse auto layout and the interface builder\\n•\\tCreate applications with user interaction\\n•\\tDesign a user interface allowing for multiple screen size and direction\\n•\\tWrite and execute unit tests to keep your code error-free\\n•\\tPerform various calculations using Swift\\n\\nBy the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.","swift-programming-language; xcode; ios","Swift 5 iOS Application Developer",2.0,"https://www.coursera.org/specializations/swift-5-ios-app-developer","This program is intended for anyone who wants to learn how to develop Apps using Swift and iOS. Through four courses, you will learn topics beginning with the absolute basics and ending with selling your apps on the app store. This program provides the skills you'll need to advance your programming career and seek employment in Swift and iOS application development.\\n\\nThroughout this hands-on program, you'll have the opportunity to practice key job skills. You'll learn about the Swift language and how to code iOS applications. You'll create user interfaces and interact with user and system data using tables and data persistence. You'll develop fully functional applications and learn how to monetize them with in-app add, purchases, and subscriptions.\\n\\nBy the end of this Professional Certificate program, you will have completed several projects showcasing your proficiency in Swift 5 and iOS programming, and you will have developed the skills necessary to begin a career as a Swift and/or iOS application developer. You will also be able to share evidence of your success with your professional network and potential employers.","[5.9,24.2]","NA","English","computer-science","software-development","5emj9LrXEem4thI30MvzOA"]
["2. Upskill","Java Programming","Programming Foundations with JavaScript, HTML and CSS","Duke University","Beginner",20.9,4.46,"https://www.coursera.org/learn/duke-programming-web","Learn foundational programming concepts (e.g., functions, for loops, conditional statements) and how to solve problems like a programmer. In addition, learn basic web development as you build web pages using HTML, CSS, JavaScript. By the end of the course, will create a web page where others can upload their images and apply image filters that you create.\\n\\nAfter completing this course, you will be able to:\\n1. Think critically about how to solve a problem using programming;\\n2. Write JavaScript programs using functions, for loops, and conditional statements;\\n3. Use HTML to construct a web page with paragraphs, divs, images, links, and lists;\\n4. Add styles to a web page with CSS IDs and classes; and\\n5. Make a web page interactive with JavaScript commands like alert, onClick, onChange, adding input features like an image canvas, button, and slider.","web-development; html5; web-page; html; algorithms; style-sheets; javascript; cascading-style-sheets; web; computer-programming","Java Programming and Software Engineering Fundamentals",1.0,"https://www.coursera.org/specializations/java-programming","Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.","[11.5,25.9]","NA","English","computer-science","mobile-and-web-development","c_rkuRoBEeWDtQoum3sFeQ"]
["2. Upskill","Java Programming","Parallel Programming in Java","Rice University","Intermediate",16.4,4.54,"https://www.coursera.org/learn/parallel-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of parallel programming in the context of Java 8. Parallel programming enables developers to use multicore computers to make their applications run faster by using multiple processors at the same time. By the end of this course, you will learn how to use popular parallel Java frameworks (such as ForkJoin, Stream, and Phaser) to write parallel programs for a wide range of multicore platforms including servers, desktops, or mobile devices, while also learning about their theoretical foundations including computation graphs, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism.\\n\\nWhy take this course?\\n\\n•\\tAll computers are multicore computers, so it is important for you to learn how to extend your knowledge of sequential Java programming to multicore parallelism.\\n•\\tJava 7 and Java 8 have introduced new frameworks for parallelism (ForkJoin, Stream) that have significantly changed the paradigms for parallel programming since the early days of Java.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tTheory of parallelism: computation graphs, work, span, ideal parallelism, parallel speedup, Amdahl's Law, data races, and determinism\\n•\\tTask parallelism using Java’s ForkJoin framework\\n•\\tFunctional parallelism using Java’s Future and Stream frameworks\\n•\\tLoop-level parallelism with extensions for barriers and iteration grouping (chunking)\\n•\\tDataflow parallelism using the Phaser framework and data-driven tasks\\n\\nMastery of these concepts will enable you to immediately apply them in the context of multicore Java programs, and will also provide the foundation for mastering other parallel programming systems that you may encounter in the future  (e.g., C++11, OpenMP, .Net Task Parallel Library).","java-software-platform; streams; dataflow; data-parallelism; unified-parallel-c; data-uri-scheme; task-parallelism; java-concurrency; parallel-computing; computer-programming","Parallel, Concurrent, and Distributed Programming in Java",1.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[8.9,26.5]","NA","English","computer-science","software-development","9_OIYfdDEeWfYgqbi1xsdw"]
["2. Upskill","Java Programming","Concurrent Programming in Java","Rice University","Advanced",15.3,4.47,"https://www.coursera.org/learn/concurrent-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8.   Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs.  By the end of this course, you will learn how to use basic concurrency constructs in Java such as threads, locks, critical sections, atomic variables, isolation, actors, optimistic concurrency and concurrent collections, as well as their theoretical foundations (e.g., progress guarantees, deadlock, livelock, starvation, linearizability).\\n\\nWhy take this course?\\n\\n•\\tIt is important for you to be aware of the theoretical foundations of concurrency to avoid common but subtle programming errors. \\n•\\tJava 8 has modernized many of the concurrency constructs since the early days of threads and locks.\\n•\\tDuring the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tConcurrency theory: progress guarantees, deadlock, livelock, starvation, linearizability\\n•\\tUse of threads and structured/unstructured locks in Java\\n•\\tAtomic variables and isolation\\n•\\tOptimistic concurrency and concurrent collections in Java (e.g., concurrent queues, concurrent  hashmaps)\\n•\\tActor model in Java\\n\\nMastery of these concepts will enable you to immediately apply them in the context of concurrent Java programs, and will also help you master other concurrent programming system that you may encounter in the future  (e.g., POSIX threads, .NET threads).","data-structure; java-software-platform; optimistic-concurrency-control; concurrency-computer-science; concurrency-control; concurrent-computing; actor-model; modeling; java-concurrency; null-character","Parallel, Concurrent, and Distributed Programming in Java",2.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[9.3,23.8]","NA","English","computer-science","software-development","KDpdcxuGEea2Gw5ROLcooQ"]
["2. Upskill","Java Programming","Distributed Programming in Java","Rice University","Intermediate",15.5,4.43,"https://www.coursera.org/learn/distributed-programming-in-java","This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8.  Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications.  By the end of this course, you will learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multithreading.\\n\\nWhy take this course?\\n\\n•\\tAll data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency.\\n•\\tIn addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach.\\n•\\tEach of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends.\\n•\\tDuring the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums.\\n\\nThe desired learning outcomes of this course are as follows:\\n\\n•\\tDistributed map-reduce programming in Java using the Hadoop and Spark frameworks\\n•\\tClient-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces\\n•\\tMessage-passing programming in Java using the Message Passing Interface (MPI)\\n•\\tApproaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming\\n\\nMastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future  (e.g., in Scala or C++).","modeling; parallel-computing; message-passing; reactive-programming; message; distributed-computing; interfaces; unified-parallel-c; computer-programming; message-passing-interface","Parallel, Concurrent, and Distributed Programming in Java",3.0,"https://www.coursera.org/specializations/pcdp","Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution. These courses will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.\\n\\nTo see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.\\n\\nAcknowledgments\\n\\nThe instructor, Prof. Vivek Sarkar, would like to thank Dr. Max Grossman for his contributions to the mini-projects and other course material, Dr. Zoran Budimlic for his contributions to the quizzes, Dr. Max Grossman and Dr. Shams Imam for their contributions to the pedagogic PCDP library used in some of the mini-projects, and all members of the Rice Online team who contributed to the development of the course content (including Martin Calvi, Annette Howe, Seth Tyger, and Chong Zhou).","[7.9,24.3]","NA","English","computer-science","software-development","vD3GUIAsEeaztxKMUHWbjQ"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Foundations","Google Cloud","Beginner",9.1,4.71,"https://www.coursera.org/learn/foundations-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Foundations,\" you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","google-cloud-platform; google-app-engine; cloud-platforms; cloud-computing; control-plane; architecture; google; kubernetes; data-clustering-algorithms; integration-testing","Architecting with Google Kubernetes Engine",2.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5,11]","Spanish; Portuguese; Japanese","English","computer-science","software-development","aOin7ERUEemzhg5D25f0SA"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Workloads","Google Cloud","Beginner",17.4,4.71,"https://www.coursera.org/learn/deploying-workloads-google-kubernetes-engine-gke","In this course, \"Architecting with Google Kubernetes Engine: Workloads,\" you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","persistence-computer-science; google; google-cloud-platform; cloud-platforms; localhost; scaling; kubernetes; cloud-computing; workload; integration-testing","Architecting with Google Kubernetes Engine",3.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[10,21.3]","Japanese; Spanish","English","computer-science","software-development","rbvN305_EemdyRKorlakmA"]
["2. Upskill","Kubernetes","Architecting with Google Kubernetes Engine: Production","Google Cloud","Beginner",8.8,4.69,"https://www.coursera.org/learn/deploying-secure-kubernetes-containers-in-production","In this course, \"Architecting with Google Kubernetes Engine: Production,\" you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using GCP managed storage and database services from within GKE.\\n\\nThis course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<","sql; role-based-access-control; google-cloud-platform; identity-management; google; access-control; cloud-computing; kubernetes; cloud-platforms; null-character","Architecting with Google Kubernetes Engine",4.0,"https://www.coursera.org/specializations/architecting-google-kubernetes-engine","The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.","[5.2,10.7]","Portuguese; Spanish; Japanese","English","computer-science","software-development","zi4UCE5_Eem0lhKc4vCNig"]
["2. Upskill","Natural Language Processing","Sequence Models for Time Series and Natural Language Processing","Google Cloud","Advanced",33.2,4.26,"https://www.coursera.org/learn/sequence-models-tensorflow-gcp","This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.\\n\\n• Predict future values of a time-series\\n• Classify free form text\\n• Address time-series and text problems with recurrent neural networks\\n• Choose between RNNs/LSTMs and simpler models\\n• Train and reuse word embeddings in text problems\\n\\nYou will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.  \\n\\nPrerequisites: Basic SQL, familiarity with Python and TensorFlow","tensorflow; time-series-analysis; natural-language; natural-language-processing; series-a-round; environment-variable; analysis; language; p′′; time-series","Advanced Machine Learning with TensorFlow on Google Cloud Platform",4.0,"https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp","This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.","[9.5,49.1]","NA","English","data-science","machine-learning","7sNP37xrEeiL4Q6DgrZ6DA"]
["2. Upskill","Natural Language Processing","Natural Language Processing in TensorFlow","deeplearning.ai","Beginner",9.6,4.52,"https://www.coursera.org/learn/natural-language-processing-tensorflow","If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.\\n\\nIn Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry!\\n\\nThe Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.","keras; natural-language-generation; natural-language-processing; natural-language; omega-language; generation; language; long-short-term-memory; p′′; tensorflow","TensorFlow in Practice",3.0,"https://www.coursera.org/specializations/tensorflow-in-practice","Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.\\n\\nIn this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!\\n\\nAI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.\\n\\nLooking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.","[4.2,16.5]","Korean","English","data-science","machine-learning","eWdF_oGHEemfwRIsGCa-_A"]
["2. Upskill","Product Lifecycle","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Lifecycle","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["2. Upskill","Product Lifecycle","Fundamentals of Project Planning and Management","University of Virginia","Intermediate",11.5,4.69,"https://www.coursera.org/learn/uva-darden-project-management","Projects are all around us. Virtually every organization runs projects, either formally or informally. We are engaged in projects at home and at work. Across settings, planning principles and execution methodologies can offer ways in which projects can be run more effectively and efficiently. Project management provides organizations (and individuals) with the language and the frameworks for scoping projects, sequencing activities, utilizing resources, and minimizing risks.\\n\\nThis is an introductory course on the key concepts of planning and executing projects. We will identify factors that lead to project success, and learn how to plan, analyze, and manage projects. Learners will be exposed to state-of-the-art methodologies and to considering the challenges of various types of projects.\\n\\nAs a  Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business has been approved by PMI to issue 12 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Provider #2122)","management; plan; risk; analysis; project-planning; project-management; planning; project-plan; project; risk-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.9,13.7]","Spanish","English","business","business-essentials","VcGV0kxGEeWKRQoYMLwAUw"]
["2. Upskill","Product Lifecycle","Initiating and Planning Projects","University of California, Irvine","Beginner",7.5,4.63,"https://www.coursera.org/learn/project-planning","The courses in the Introduction to Project Management Principles and Practices Specialization are a recommended precursor to UCI's Applied Project Management Certificate. \\n\\nSuccessful projects require careful upfront planning. In this course, you’ll learn the key roles and responsibilities of the project manager and project team. You’ll also learn to answer some key questions upfront to help you meet project objectives: What will this project accomplish? Why is this project important? Who benefits from this project? How will we plan for successful outcomes?\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the key characteristics of a project\\n2.       Identify primary project constraints\\n3.       Define the role and responsibilities of the project manager\\n4.       Identify Project Organizational Structures\\n5.       Understand the definition of a Project Stakeholder\\n6.       Identify project stakeholders\\n7.       Identify information needs of the project stakeholders\\n8.       Define responsibility for managing stakeholder and controlling stakeholder engagement\\n9.       Define the purpose of using a project charter\\n10.     Summarize the key elements of a project plan\\n11.     Identify common sources of conflict within a project environment\\n12.     Describe the difference between authority and influence","project; planning; plan; resource; project-management; project-plan; project-planning; project-charter; communication; management","Project Management & Other Tools for Career Development",1.0,"https://www.coursera.org/specializations/project-management-success","Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. It is an essential skill in the modern digital constantly changing world.\\n\\nThis intensive and hands-on series of courses gives you a blend of skills from project management. Successful projects require careful upfront planning. In this specialization, you will gain a strong working knowledge of the basics of project management. You’ll learn the key roles and responsibilities of the project manager and project team and to answer some key questions upfront to help you meet project objectives, as well as managing project risk.\\n\\nAdditionally, this specialization will train you in essential career success skills that have become indispensable, like business writing, negotiation and effective problem-solving. Thus, in addition to introducing you to project management, this specialization will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce, giving you a complete, comprehensive skill set.","[4,9.3]","Vietnamese; Spanish; Croatian; Arabic; Catalan","English","business","leadership-and-management","iRBJm_LREeSplSIACzYDNg"]
["2. Upskill","Product Lifecycle","Budgeting and Scheduling Projects","University of California, Irvine","Beginner",5.4,4.66,"https://www.coursera.org/learn/schedule-projects","A good project schedule helps all team members’ work together to meet project objectives. A project budget with realistic cost constraints is also an essential bedrock of any project. In this course you’ll learn to plan and stick to time and cost constraints in order to ensure the success of your projects.\\n\\nUpon completing this course, you will be able to:\\n1.       Identify the resource needs of the project\\n2.       Decompose work packages into activities\\n3.       Define what is needed to estimate activity durations\\n4.       Define milestones and create a milestone schedule\\n5.       Determine the critical path and calculate float\\n6.       Describe the purpose of using leads and lags in a project schedule\\n7.       Estimate the quantities and costs of resources required to perform project activities\\n8.       Select one of three common cost estimating techniques to determine a project budget\\n9.       Use a responsibility assignment matrix to assign responsibilities\\n10.     Recognize the components of a project’s quality management plan","estimation; schedule; project; budget-estimation; budget; schedule-project-management; project-management; planning; management; cost","Project Management Principles and Practices",2.0,"https://www.coursera.org/specializations/project-management","This specialization is a precursor to the Applied Project Management Certificate. Project management has been proven to be the most effective method of delivering products within cost, schedule, and resource constraints. This intensive and hands-on series of courses gives you the skills to ensure your projects are completed on time and on budget while giving the user the product they expect. You will gain a strong working knowledge of the basics of project management and be able to immediately use that knowledge to effectively manage work projects. At the end of the series you will be able to identify and manage the product scope, build a work breakdown structure, create a project plan, create the project budget, define and allocate resources, manage the project development, identify and manage risks, and understand the project procurement process.","[2.7,6.3]","Arabic; Vietnamese; Russian","English","business","leadership-and-management","YOH__fNOEeSbSyIACxeWxg"]
["2. Upskill","Product Lifecycle","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Product Management","Introduction to Software Product Management","University of Alberta","Beginner",5.4,4.53,"https://www.coursera.org/learn/introduction-to-software-product-management","This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.","product-business; software-development; agile-software-development; agile-manifesto; finger-protocol; software-product-management; software; product-management; management; product","Software Product Management",1.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[2.9,7.5]","Korean","English","computer-science","design-and-product","DYv7azSfEeWgIQ7IEhB31Q"]
["2. Upskill","Product Management","Software Processes and Agile Practices","University of Alberta","Beginner",11.2,4.65,"https://www.coursera.org/learn/software-processes-and-agile-practices","This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum.","management; kanban; process; software-development; scrum-software-development; agile-software-development; unified-process; lean-software-development; software; software-development-process","Software Product Management",2.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.6,16.9]","Greek","English","computer-science","design-and-product","6lQZLjVvEeWfzhKP8GtZlQ"]
["2. Upskill","Product Management","Client Needs and Software Requirements","University of Alberta","Beginner",18.7,4.72,"https://www.coursera.org/learn/client-needs-and-software-requirements","This course covers practical techniques to elicit and express software requirements from client interactions.","software-development; software; requirements-management; requirements-analysis; user-story; requirements-elicitation; agile-software-development; use-case; software-requirements; management","Software Product Management",3.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[9.7,32.3]","Korean; Greek","English","computer-science","design-and-product","EdKScTVwEeWW9BKhJ4xW0Q"]
["2. Upskill","Product Management","Agile Planning for Software Products","University of Alberta","Beginner",17.5,4.71,"https://www.coursera.org/learn/agile-planning-for-software-products","This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Create effective plans for software development\\n- Map user requirements to developer tasks\\n- Assess and plan for project risks\\n- Apply velocity-driven planning techniques\\n- Generate work estimates for software products","planning; software-development; risk; finger-protocol; agile-software-development; software; plan; agile-management; project; management","Software Product Management",4.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[10.5,27.9]","NA","English","computer-science","software-development","NpTR4zVwEeWfzhKP8GtZlQ"]
["2. Upskill","Product Management","Reviews & Metrics for Software Improvements","University of Alberta","Beginner",11.8,4.62,"https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements","This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.","project-management; software-metrics; finger-protocol; software-project-management; software-development; project; software; product-business; product-management; management","Software Product Management",5.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[5.3,18]","NA","English","computer-science","design-and-product","ywoUFzVxEeWWBQrVFXqd1w"]
["2. Upskill","Product Management","Software Product Management Capstone","University of Alberta","Beginner",37.3,4.81,"https://www.coursera.org/learn/software-product-management-capstone","In this six-week capstone course, you will gain practical management experience in a safe, simulated software production setting. You will apply Agile practices and techniques to conquer industry-inspired challenges. Interacting with a realistic client, you will discern what they want and express what they truly need in software requirements to drive software production. Upon completing the capstone, you will be prepared to advance your career as a confident software product management professional.","software-development; finger-protocol; software; software-project-management; project; project-management; agile-software-development; scrum-software-development; management; product-management","Software Product Management",6.0,"https://www.coursera.org/specializations/product-management","In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management","[20.1,60.6]","Greek","English","computer-science","design-and-product","99SZyjVxEeW6RApRXdjJPw"]
["2. Upskill","Product Marketing","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["2. Upskill","Product Marketing","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Marketing","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Product Strategy","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["2. Upskill","Product Strategy","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["2. Upskill","Product Strategy","Marketing Mix Fundamentals","IE Business School","Intermediate",11.3,4.5,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","marketing; pricing-strategies; marketing-mix; product-business; product-strategy; communication; marketing-communications; market-economics; pricing; product","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.3,14.8]","NA","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["2. Upskill","Product Strategy","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["2. Upskill","Product Strategy","Marketing Management I","University of Illinois at Urbana-Champaign","Advanced",14.4,4.76,"https://www.coursera.org/learn/marketing-management","In this course, you will learn how businesses create value for customers. We will examine the process by which Marketing builds on a thorough understanding of buyer behavior to create value. You will learn the major elements of the marketing mix - product policy, channels of distribution, communication, and pricing - and see how they fit within different analytical frameworks that are useful to managers. This will enhance your understanding of how marketing works in the business world. \\n\\nUpon successful completion of this course, you will be able to: \\n•\\tDefine marketing and describe how marketing creates value\\n•\\tDescribe the elements of the marketing mix\\n•\\tExplain how these elements interact to create value for consumers\\n•\\tUse different analytical frameworks to examine how managers solve business problems\\n•\\tEvaluate brand extensions\\n•\\tDevelop a marketing Plan proposal\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; marketing; marketing-plan; marketing-mix; marketing-strategy; plan; product-business; product; brand; management","Value Chain Management",5.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[8.2,16.4]","NA","English","business","marketing","P3b7g0eKEeaDRhLb8lAaNw"]
["2. Upskill","Python Programming","Python for Data Science and AI","IBM","Beginner",26.6,4.5,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.","python-programming-language; computer-programming; pandas; numpy; data-segment; python-syntax-and-semantics; data-analysis; semantics; python-libraries; syntax","Applied Data Science",1.0,"https://www.coursera.org/specializations/applied-data-science","This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.\\n\\nUpon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.","[6,49.2]","German; Korean","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["2. Upskill","Python Programming","An Introduction to Interactive Programming in Python (Part 1)","Rice University","Beginner",29.1,4.75,"https://www.coursera.org/learn/interactive-python-1","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 1 of this course, we will introduce the basic elements of programming (such as expressions, conditionals, and functions) and then use these elements to create simple interactive applications such as a digital stopwatch.  Part 1 of this class will culminate in building a version of the classic arcade game \"Pong\".","language; computer-programming; python-programming-language; programming-principles; omega-language; semantics; programming-language; python-syntax-and-semantics; syntax; interactivity","Fundamentals of Computing",1.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[20.7,34.7]","Chinese; Italian; Russian; Korean; Spanish; Arabic; Portuguese","English","computer-science","software-development","n2zunIlgEeWSMw6QLoDNsQ"]
["2. Upskill","Python Programming","An Introduction to Interactive Programming in Python (Part 2)","Rice University","Beginner",24.8,4.89,"https://www.coursera.org/learn/interactive-python-2","This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.\\n\\nIn part 2 of this course, we will introduce more elements of programming (such as list, dictionaries, and loops) and then use these elements to create games such as Blackjack.  Part 1 of this class will culminate in building a version of the classic arcade game \"Asteroids\".  Upon completing this course, you will be able to write small, but interesting Python programs.  The next course in the specialization will begin to introduce a more principled approach to writing programs and solving computational problems that will allow you to write larger and more complex programs.","object-oriented-programming; semantics; computer-programming; interactive-computing; python-programming-language; interactive-programming; social-media-marketing; python-syntax-and-semantics; syntax; interactivity","Fundamentals of Computing",2.0,"https://www.coursera.org/specializations/computer-fundamentals","This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.","[17.3,33.1]","Korean; Turkish; Chinese","English","computer-science","software-development","uh_Pun3OEeW-FwqtbgSK1Q"]
["2. Upskill","Python Programming","Python Functions, Files, and Dictionaries","University of Michigan","Beginner",24.9,4.82,"https://www.coursera.org/learn/python-functions-files-dictionaries","This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.\\n\\nThis is a follow-up to the \"Python Basics\" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.","jpeg; computer-programming; data-file; computer-program; sorting; writing; data-segment; eulers-totient-function; python-programming-language; integration-testing","Python 3 Programming",2.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[12.5,32.5]","Korean; Vietnamese","English","computer-science","software-development","Uw_dZt1UEeiKDQqUtLvFaA"]
["2. Upskill","Python Programming","Data Collection and Processing with Python","University of Michigan","Beginner",15.8,4.65,"https://www.coursera.org/learn/data-collection-processing-python","This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.\\n\\nThe course is well-suited for you if you have already taken the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.\\n\\nThis is the third of five courses in the Python 3 Programming Specialization.","web; list-comprehension; representational-state-transfer; python-programming-language; web-api; data-collection; application-programming-interfaces; list-and-label; json; computer-programming","Python 3 Programming",3.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[7.9,20.1]","Korean","English","computer-science","software-development","hc1eF91UEeiuIBLeggjX4g"]
["2. Upskill","Python Programming","Python Classes and Inheritance","University of Michigan","Beginner",13.9,4.71,"https://www.coursera.org/learn/python-classes-inheritance","This course introduces classes, instances, and inheritance. You will learn how to use classes to represent data in concise and natural ways. You'll also learn how to override built-in methods and how to create \"inherited\" classes that reuse functionality. You'll also learn about how to design classes. Finally, you will be introduced to the good programming habit of writing automated tests for their own code.\\n\\nThe course is best-suited for you if you are already familiar with Python fundamentals, which are covered in the \"Python Basics\" and \"Python Functions, Files, and Dictionaries\" courses (courses 1 and 2 of the Python 3 Programming Specialization). It is optional to have taken the \"Data Collection and Processing with Python\" course (course 3 of the specialization), but knowledge of retrieving and processing complex nested data is helpful.\\n\\nThis is the fourth of five courses in the Python 3 Programming Specialization.","class-computer-programming; computer-programming; class-variable; inheritance-object-oriented-programming; computer-program; test-case; subroutine; logic-programming; object-oriented-programming; python-programming-language","Python 3 Programming",4.0,"https://www.coursera.org/specializations/python-3-programming","This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.\\n\\nYou will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.\\n\\nBy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.\\n\\nThis specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.\\n\\nBut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.","[6.8,18.7]","NA","English","computer-science","software-development","s05KVehFEeim4xJbB8s1Fg"]
["2. Upskill","Software Architecture","Software Architecture","University of Alberta","Advanced",15.0,4.33,"https://www.coursera.org/learn/software-architecture","The way that software components — subroutines, classes, functions, etc. —  are arranged,  and the interactions between them, is called architecture. In this course you will study the ways these architectures are represented, both in UML and other visual tools. We will introduce the most common architectures, their qualities, and tradeoffs. We will talk about how architectures are evaluated, what makes a good architecture, and an architecture can be improved. We'll also talk about how the architecture touches on the process of software development.\\n\\nIn the Capstone Project you will document a Java-based Android application with UML diagrams and analyze evaluate the application’s architecture using the Architecture Tradeoff Analysis Method (ATAM).\\n\\nAfter completing this course, you will be able to: \\n• Compare and contrast the components, connections, protocols, topologies, constraints, tradeoffs, and variations of different types of architectural styles used in the design of applications and systems (e.g., main program and subroutine, object-oriented, interpreters, pipes and filters, database centric, event-based).\\t\\n• Describe the properties of layered and n-tier architectures.\\t\\n• Create UML ipackage, component, and deployment diagrams to express the architectural structure of a system.\\t\\n• Explain the behaviour of a system using UML activity diagrams.\\t\\n• Document a multi-application system with a layered architecture.","capgemini; analysis; evaluation; software-design; software; design-pattern; architecture-tradeoff-analysis-method; trade-off; architecture; software-architecture","Software Design and Architecture",3.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[8.1,22.5]","NA","English","computer-science","software-development","07aYjGy8EeeB2gpod3ECDg"]
["2. Upskill","Software Architecture","Service-Oriented Architecture","University of Alberta","Advanced",12.6,4.41,"https://www.coursera.org/learn/service-oriented-architecture","Based on an understanding of architectural styles, you will review architectures for web applications, then explore the basics of Service-Oriented Architecture (SOA) in two approaches: Web Services (WS*) and Representational State Transfer (REST) architecture. \\n\\nIn the Capstone Project you will connect a Java-based Android application with Elasticsearch, a web service with a REST application programmer interface (API).\\n\\nAfter completing this course, you will be able to: \\n• Describe SOA (Service-Oriented Architecture) to structure web-based systems.\\n• Explain WS* services (i.e., SOAP over HTTP, WSDL, UDDI, BPEL).\\t\\n• Apply REST architecture (i.e., JSON over HTTP, URI).\\t\\n• Identify REST design principles.\\t\\n• Create a system using REST interfaces.\\t\\n• Apply microservice architecture.","microservices; representational-state-transfer; architecture; hypertext-transfer-protocol; web-service; web-services-description-language; xml; service-oriented-architecture; soap; web","Software Design and Architecture",4.0,"https://www.coursera.org/specializations/software-design-architecture","In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation.\\n\\nPractical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.","[6.8,18.6]","NA","English","computer-science","software-development","ZLc4IHCQEee-hhK9f0kJ5A"]
["2. Upskill","User Experience","User Experience: Research & Prototyping","University of California San Diego","Intermediate",10.2,4.52,"https://www.coursera.org/learn/user-research","What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and  people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable  you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design.  You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. \\n\\nGood luck and we hope you enjoy the course!","experience; interview; persona-user-experience; user-research; experience-design; map; i-deas; user-experience; interaction; user-experience-design","Interaction Design",5.0,"https://www.coursera.org/specializations/interaction-design","You will learn how to design technologies that bring people joy, rather than frustration. You'll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You'll also learn principles of visual design, perception, and cognition that inform effective interaction design.","[6.9,11.9]","Russian; Spanish; Chinese; Portuguese","English","computer-science","design-and-product","Z3yHdBVBEeWvmQrN_lODCw"]
["2. Upskill","User Experience","Visual Elements of User Interface Design","California Institute of the Arts","Beginner",15.7,4.62,"https://www.coursera.org/learn/visual-elements-user-interface-design","This design-centric course examines the broad question of what an interface is and what role a designer plays in creating a user interface. Learning how to design and articulate meaning using color, type, and imagery is essential to making interfaces function clearly and seamlessly. Through a series of lectures and visual exercises, you will focus on the many individual elements and components that make up the skillset of an interface designer. By the end of this course, you will be able to describe the key formal elements of clear, consistent, and intuitive UI design, and apply your learned skills to the design of a static screen-based interface.\\n\\nThis is the first course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience; graphic-design; experience; graphics; java-annotation; interfaces; basic-element; design-pattern; user-interface; user-interface-design","UI / UX Design",1.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.5,18]","NA","English","arts-and-humanities","music-and-art","uibsAqoJEeevAAqY8Yp9-A"]
["2. Upskill","User Experience","UX Design Fundamentals","California Institute of the Arts","Intermediate",22.4,4.74,"https://www.coursera.org/learn/ux-design-fundamentals","This hands-on course examines how content is organized and structured to create an experience for a user, and what role the designer plays in creating and shaping user experience. You will be led through a condensed process that acts as a roadmap for developing robust UI/UX design: from ideation and sitemapping, to the creation of paper and digital prototypes. Building on the design skills learned in Visual Elements of User Interface Design, you will apply this methodology to produce a digital prototype for a multi-screen app of your own invention.\\n\\nBy the end of this course, you will be able to describe and apply current best practices and conventions in UX design, and employ the fundamental principles of how UX design functions to shape an audience's experience of a given body of content.\\nThis is the second course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","user-experience-design; user-experience; java-annotation; map; experience; user-interface; site-map; website-wireframe; websites; experience-design","UI / UX Design",2.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[14.4,27]","NA","English","arts-and-humanities","music-and-art","GZXr46oKEeek8w7UaDwmVA"]
["2. Upskill","User Experience","Web Design: Strategy and Information Architecture","California Institute of the Arts","Advanced",20.8,4.75,"https://www.coursera.org/learn/web-design-strategy","This course is focused on the early user experience (UX) challenges of research, planning, setting goals, understanding the user, structuring content, and developing interactive sequences. While the concepts covered will translate to many kinds of interactive media (apps, digital kiosks, games), our primary focus will be on designing contemporary, responsive websites. In this course you will complete the first half of a large scale project—developing a comprehensive plan for a complex website—by defining the strategy and scope of the site, as well as developing its information architecture and overall structure. Along the way we will also discuss:\\n\\n - Different job descriptions in the web design industry and where UX and UI skills fall within this spectrum\\n - The difference between native apps and websites\\n - The difference of agile vs. waterfall approaches\\n - User personas and site personas\\n - User testing\\n\\nThe work and knowledge in this course continues in the last course in the UI/UX Design Specialization, Web Design: Wireframes to Prototypes, where you will tackle—finally—wireframes, visual mockups, and clickable prototypes.\\nThis is the third course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","experience; user-interface; architecture; web; user-experience; site-map; information-architecture; persona-user-experience; web-design; sitemaps","UI / UX Design",3.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[10.3,27]","NA","English","arts-and-humanities","music-and-art","Zz8PEqoKEee_FhKpZrJ4bA"]
["2. Upskill","User Experience","Web Design: Wireframes to Prototypes","California Institute of the Arts","Advanced",24.9,4.86,"https://www.coursera.org/learn/web-design-wireframes-prototypes","This course is focused on the application of the early UX research to actual user interfaces: the creation of wireframes, high-fidelity mockups, and clickable prototypes. Along the way we will also discuss:\\n\\n - Responsive web design and mobile web challenges\\n - Mobile-first approach\\n - Web typography\\n - The relationship between design and programming and whether it is important to know how to code\\n - The different web technologies that make the web work, such as HTML, CSS, JavaScript, server-side coding, and databases.\\n\\nThis course is the continuation of the course Web Design: Strategy and Information Architecture, in which students completed the first half of a large scale project—developing a comprehensive plan for a complex website. If you are intending to complete the assignments in this course to earn a certificate you must complete the Strategy and Information Architecture course first so you have the materials and data needed to begin creating wireframes and mockups in this course.\\n\\nThis is the fourth and last course in the UI/UX Design Specialization, which brings a design-centric approach to user interface (UI) and user experience (UX) design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone.\\n\\nThese courses are ideal for anyone with some experience in graphic or visual design and who would like to build their skill set in UI or UX for app and web design. It would also be ideal for anyone with experience in front- or back-end web development or human-computer interaction and want to sharpen their visual design and analysis skills for UI or UX.","website-wireframe; experience; java-annotation; user-experience; user-interface; user-interface-design; websites; web-design; web; interaction","UI / UX Design",4.0,"https://www.coursera.org/specializations/ui-ux-design","The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps.\\n\\nUser interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction.\\n\\nLearners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.","[12.2,34.3]","NA","English","arts-and-humanities","music-and-art","eob4WaoKEee50hJ5aJhsdA"]
["2. Upskill","User Research","UX Design: From Concept to Prototype","University of Michigan","Intermediate",22.3,4.67,"https://www.coursera.org/learn/ux-design-concept-wireframe","Great design doesn’t come out of nowhere; it is born, nurtured, and grown--all through a systematic, learnable process. In this UX course, you will explore the process of taking a basic concept, grounded in user needs, and developing it into a design that will address those needs. In the course, you will gain hands-on experience with techniques such as sketching, scenario development, storyboarding, and wireframing that will help you transform your understanding of what your users need into a compelling user experience. You will then learn how to turn wireframes and interaction architecture into interactive prototypes that can be tested with prospective users and iteratively refined into a high quality design that that is ready for a hand-off to the development team for implementation.\\n\\nWhat You’ll Learn:\\n    Define and scope the design problem you will try to address\\n    Create user stories and storyboards to transform information about user needs into design concepts\\n    Produce sketches and conduct brainstorming sessions to generate many design ideas from which you can construct a high-quality design solution\\n    Develop interface wireframes to concretize the design and enable early user testing\\n    Conduct user tests with paper prototypes to get preliminary user feedback on the design concept and interactions\\n    Develop high-fidelity mockups that specify visual design elements\\n    Create Wizard of Oz prototypes to efficiently test complex interactions and interactive systems that are not screen-based (e.g., smart assistants)","human-computer-interaction; user-research; paper-prototyping; user-experience","User Experience Research and Design",4.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[12.8,36.8]","Vietnamese","English","computer-science","design-and-product","d6uhqNCoEeigTQ74_Wg0eg"]
["2. Upskill","User Research","UX (User Experience) Capstone","University of Michigan","Advanced",12.8,4.35,"https://www.coursera.org/learn/user-experience-capstone","In this UX capstone course, you’ll conduct a multi-stage user experience project to design a product from scratch. You will employ interviews, inspection methods, and user testing, along with ideation, design, and prototyping methods to gain and communicate valuable insight that can be used to deliver a compelling product.\\n\\nYou will:\\n    Learn how to design and carry out an integrated multi-phase user experience research and design project\\n    Gain experience conducting user experience research in a real-world setting\\n    Gain hands-on experience with a realistic UX design project\\n    Improve ability to communicate design concepts and actionable research findings.","human-computer-interaction; user-research; user-experience; web","User Experience Research and Design",6.0,"https://www.coursera.org/specializations/michiganux","Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.","[5.7,16.7]","NA","English","computer-science","design-and-product","YtJlYdCvEeifjQp217MoCg"]
["2. Upskill","User Research","Introduction to UI Design","University of Minnesota","Beginner",22.9,4.66,"https://www.coursera.org/learn/ui-design","In this course, you will gain an understanding of the critical importance of user interface design. You will also learn industry-standard methods for how to approach the design of a user interface and key theories and frameworks that underlie the design of most interfaces you use today.\\n\\nThrough a series of case studies on commercial systems - many of which you likely use on a regular basis - we will illustrate the benefits of good design. We will also demonstrate how the costs of bad design can often be severe (in user experience, money, and even human lives).\\n\\nYou will then gain a high-level understanding of the user-interface design process. You will be introduced to common design scenarios - e.g. improving on existing designs and starting a new design from scratch - and the general design processes that tend to be used for each scenario.\\n\\nFinally, we will begin introducing the large body of existing knowledge on design by providing overviews of core user interface design theories and concepts. This key foundational information will help you avoid “reinventing the wheel” when you are designing your interfaces in this specialization.","evaluation; user-interface-design; java-annotation; principle; experience; user-interface; usability; interfaces; design-theory; user-experience","User Interface Design",1.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13,35.5]","NA","English","computer-science","design-and-product","TsI6pDypEea3LQ6P_ZHapQ"]
["2. Upskill","User Research","User Research and Design","University of Minnesota","Beginner",13.5,4.51,"https://www.coursera.org/learn/design-research","In this course you will learn and practice techniques of user research and early UI design exploration.  First, you will learn and practice several techniques for user research, including in-person research and survey and log-analysis techniques.  Then, you will learn to analyze and deliver user research in forms that support UI design, including personas, use cases, tasks, and scenarios.  Finally, you will learn and practice ideation techniques that start from user research and broadly generate potential design ideas.","user-experience; analysis; qualitative-analysis; user-research; research-methods; i-deas; generation; persona-user-experience; use-case; observation","User Interface Design",2.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[9.5,15.3]","NA","English","computer-science","design-and-product","kr6NmTypEea1eg6YQeunOw"]
["2. Upskill","User Research","Evaluating User Interfaces","University of Minnesota","Intermediate",20.3,4.67,"https://www.coursera.org/learn/ui-testing","In this course you will learn and practice several techniques for user interface evaluation.  First we start with techniques that can be applied alone or in a design team, including action analysis, walkthroughs, and heuristic evaluation.  Then we move on to user testing, including learning from a series of usability tests carried out in a real usability lab, and techniques to carry out your own tests even without a lab.  Finally, we wrap up the discussion of evaluation--and of UI Design in the specialization as a whole--by looking at the question of how to set and measure usability goals, and in turn, when a design is usable enough to release it.","evaluation; heuristic; usability-testing; heuristic-evaluation; user-interface-design; interfaces; user-experience; java-annotation; usability; user-interface","User Interface Design",4.0,"https://www.coursera.org/specializations/user-interface-design","In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design.\\n\\nConcepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.","[13.9,30.2]","NA","English","computer-science","design-and-product","Jj0UJjyrEeanIg6YknlKvw"]

{"sheet":"4. TM ","index":10,"n_rows":44,"n_cols":21,"rows_kept":44,"cut":false,"hidden":false,"merged":[]}
[]
["Telecom","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID","Specialization ID"]
["1. Literacy","Communication","Introduction to Satellite Communications","Institut Mines-Télécom","Beginner",22.7,4.48,"https://www.coursera.org/learn/satellite-communications","How is a satellite built? How do they fly? How do they communicate and how does the network operate? You will get all the answers in this course from teachers and researchers from three schools associated with Institut Mines-Télécom.\\n\\nThe course is made of : teaching videos, equipment demonstrations and simulation programs. They will guide you through the discovery of satellite communications. Professionals in the space field will share there vocation for this scientific and technical sector. \\n\\nHave you ever wanted to know more about transponders, the geostationary orbit, QPSK modulation, channel coding, link budget, TCP over large bandwdith x delay product links ? \\n\\nThis course is for you! This course is available in English: French-speaking lecturers with English subtitles and fully translated contents (slides, practices).\\n\\nThis MOOC is supported by the Patrick and Lina Drahi Foundation.","systems-engineering; satellite; architecture; electronics; telecommunications; link-budget; communication; data-transmission; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,30]","French","English","physical-science-and-engineering","electrical-engineering","yn4BHt70EeWDLBKS83bB7Q"]
["1. Literacy","Communication","Wireless Communications for Everybody","Yonsei University","Beginner",12.4,4.63,"https://www.coursera.org/learn/wireless-communications","This course will provide an introduction and history of cellular communication systems that have changed our lives during the recent four decades and will become an essential and inseparable part of human life. The principles of wireless communication theory are covered with emphasis on the essential concept delivery to non-major learners in the easiest way. Then, it will be covered how such principles are realized and how multimedia services can be delivered in practical LTE cellular systems by which learners are connected and enjoys together in their lives.\\n\\nAfter completing this course, learners will be able to understand\\n1. What a cellular system is and how it has been developed so far \\n2. The very basic principles how information can be delivered efficiently using radio\\n3. How such principles are realized in LTE systems.\\n4. How people can be connected and multimedia services can be delivered in LTE systems","communication; architecture; wi-fi; cellular-network; wireless; switches; wireless-networking; learning; data-transmission; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,14.8]","Spanish","English","physical-science-and-engineering","electrical-engineering","FF_W8C0fEea8-BJ7AvBU3Q"]
["1. Literacy","Internet","Internet History, Technology, and Security","University of Michigan","Beginner",19.3,4.75,"https://www.coursera.org/learn/internet-history","The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today. \\n\\n\\n\\n\\n\\n\\nWhat You Will Learn:\\nAfter this course you will not take the Internet and Web for granted. You will be better informed about important technological issues currently facing society. You will realize that the Internet and Web are spaces for innovation and you will get a better understanding of how you might fit into that innovation. If you get excited about the material in this course, it is a great lead-in to taking a course in Web design, Web development, programming, or even network administration. At a minimum, you will be a much wiser network citizen.","world-wide-web; history; cryptography; architecture; internet-architecture; security; web; internet; internet-protocol; internet-security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,20.9]","Italian; Russian","English","computer-science","computer-security-and-networks","2UHGXkNtEeSfwCIACxeXRw"]
["1. Literacy","Media Law and Ethics","Media ethics & governance","University of Amsterdam","Intermediate",11.0,4.57,"https://www.coursera.org/learn/media-ethics-governance","Media Ethics and Governance \\nAbout this course: This course explores some of the basic theories, models and concepts in the field of media ethics. We will introduce influential ethical theories and perspectives, explore changing societal demands and expectations of media creation and media use, and we will elaborate on existing ethical norms for media professionals. After following this course, you will be able to reflect on ethical dilemmas and develop a well-substantiated argumentation for ethical decision making in a variety of media-related contexts.\\n\\nUpon completion of this course, students should:\\n•\\thave knowledge of the history and development of perspectives on media ethics;\\n•\\thave knowledge of the dominant theoretical approaches and concepts;\\n•\\tbe able to use this knowledge to develop a well-substantiated argumentation","communication; interaction; host-protected-area; international-communication; ethics; communication-studies; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5,15.8]","NA","English","social-sciences","governance-and-society","UU2MxlcmEee91g5WFbHAAA"]
["1. Literacy","Networking","Fundamentals of Network Communication","University of Colorado System","Intermediate",7.2,4.55,"https://www.coursera.org/learn/fundamentals-network-communications","In this course, we trace the evolution of networks and identify the key concepts and functions that form the basis for layered architecture. We introduce examples of protocols and services that are familiar to the students, and we explain how these services are supported by networks. Further, we explain fundamental concepts in digital communication, and focus on error control techniques that include parity check, polynomial code, and Internet checksum. Students will be required to have some previous programming experience in C-programming (C++/Java), some fundamental knowledge of computer organization and IT architecture and a background in computer science is a plus.","network-address; modeling; architecture; error-detection-and-correction; computer-network; communication; osi-model; network-architecture; checksum; internet-protocol-suite","Computer Communications",1.0,"https://www.coursera.org/specializations/computer-communications","This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.","[2.6,9.3]","NA","English","computer-science","computer-security-and-networks","8-shGkfyEeemlQrrzf9X-A"]
["1. Literacy","Social Media","What is Social?","Northwestern University","Beginner",8.8,4.59,"https://www.coursera.org/learn/what-is-social","The “What Is Social?\" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, \"how to\" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. \\n\\nWhile the course can be audited for free, paid learners will receive additional content beyond the course basics. For MOOC 1, the toolkit includes a special video from Alessandro Acquisti on Big Data and a set of studies done by IBM on engagement and social marketing strategies with bottom-line profits. \\n\\nThis course has been designed to give you the tools, insights, knowledge, and skills to immediately impact your organization. In addition, we will help you network with thought leaders in social.  After completing this course, you and your organization’s staff will be able to position, engage, and grow relationships with the consumers of highest value to you.\\n\\nToday, we are living in a period of massive disruption. New technologies are changing the way people engage with each other and with the organizations that interest them. This course will start you on the path to growing your own social strategy using effective, proven methodologies.\\n\\nAdditional MOOC 1 faculty include: \\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)","media-market; marketing; social-media-marketing; social-network; market-economics; social-media; audience; social-media-tools; social-marketing; integration-testing","Social Media Marketing",1.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.6,10.6]","Japanese","English","business","marketing","KqKtbzXyEeWW9BKhJ4xW0Q"]
["1. Literacy","Social Media","Introduction to Social Media Analytics","Emory University","Advanced",10.7,4.49,"https://www.coursera.org/learn/social-media-analytics-introduction","Social media not only provides marketers with a means of communicating with their customers, but also a way to better understand their customers. Viewing consumers’ social media activity as the “voice of the consumer,” this session exposes learners to the analytic methods that can be used to convert social media data to marketing insights. In Introduction to Social Media Analytics, learners will be exposed to both the benefits and limitations of relying on social media data compared to traditional methods of marketing research. Partnering with a leading social media listening platform, this course provides learners with the foundational skills of social media listening including the creation of monitors and common social media metrics. Moving beyond social media listening, this course shows learners how social media data can be used to provide insights into market structure and consumers’ perceptions of the brand.  Learners will have the opportunity to assess data and discern how to \"listen\" to the data by watching video lectures and completing activities, practice quizzes, discussion boards, and peer assessments.","social-media; marketing; marketing-analytics; consumer-insights; media-monitoring; social-media-analytics; social-media-marketing; voice-of-the-customer; social-media-measurement; market-research","Foundations of Marketing Analytics",5.0,"https://www.coursera.org/specializations/marketing-analytics","In this specialization you will learn how to:\\n\\n• Find, extract, organize and describe data to support business decisions\\n\\n• Identify, quantify and interpret relationships between variables\\n\\n• Derive customer insights from your data\\n\\n• Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions\\n\\n• Present and justify a course of action to management\\n\\nThe capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.","[7.4,12.7]","NA","English","business","marketing","T1m-uDWGEeaMGQ62fT8BeQ"]
["2. Upskill","Communication","Smart Device & Mobile Emerging Technologies","Yonsei University","Beginner",16.4,4.71,"https://www.coursera.org/learn/smart-device-mobile-emerging-technologies","Every day you use your smartphone. Your smartphone wakes you up, it is the first thing you use in the morning, and the last thing you check (e.g., alarm setting) before you sleep. In addition, you use it all day. A typical cellphone user touches their mobile phone 2,617 times a day (Dscout report based on 2017) and people spend over 4 hours a day on their mobile phones (Hackernoon report) on average. Smartphones and smart watches are very useful and will become even more useful due to their smaller sizes, lighter weights, versatile functionalities, advanced mobile communications & wireless networking (e.g., Wi-Fi & Bluetooth) technologies. In this course, the start-of-the-art smartphone and smart watch technology and components in addition to the global market trends and future forecasts are introduced. Since everybody uses smartphones and smart watches, knowing the details about the most globally used electronic device will definitely help you in all aspects of new product and app design & development, as well as business planning. In addition, the core technology and components of the world’s most popular smartphones (i.e., the Samsung Galaxy Note8 and Apple iPhone X) and smart watches (i.e., Samsung Gear S3 and the Apple Watch Series 3) are introduced along with details of the iOS and Android smartphone OSs (Operating Systems) and mobile communications 1G to 5G (for details on Wi-Fi and Bluetooth, please take my course “IoT Wireless & Cloud Emerging Technology”). This course ends with projects that teach how to analyze the components of smartphones and check the mobile network. Consequently, this course will prepare you to be more successful in businesses strategic planning in the upcoming smart device era. I cordially welcome you in to the amazing internal dynamics of the smart device world!","smart-device; architecture; emerging-technologies; internet-of-things; objective-c; software-development; application-design","Emerging Technologies: From Smartphones to IoT to Big Data",2.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[7.6,24.2]","Spanish","English","information-technology","cloud-computing","I2Ny6xkJEeiDeA4Rm_JxDg"]
["2. Upskill","Communication","IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies","Yonsei University","Intermediate",17.2,4.45,"https://www.coursera.org/learn/iot-wireless-cloud-computing","IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds. Since we will live in an IoT world supported by Clouds, knowledge of the core technologies and platforms of IoT and Clouds will enable you with the tools to become a true leader in the future product and business world. In this course, the start-of-the-art IoT and wireless networks and Cloud technologies are introduced (for details on 1G to 5G mobile communications and smartphone and smart device technology, please take my course “Smart Device & Mobile Emerging Technologies”). This course ends with projects that teach how to analyze Bluetooth and W-Fi wireless networks and setup and use an EC2 (Elastic Compute Cloud) Virtual Computer in AWS (Amazon Web Service), which is the most powerful and popular Cloud technology in the world. Comparing to the human body, IoT is the neural network and the Cloud is the brain. Thus, I cordially welcome you into the brain and neural network of the future intelligence world!","internet-of-things; wi-fi; human-error-assessment-and-reduction-technique; computer-network; bluetooth; google-app-engine; cloud-computing; architecture; internet; wireless","Emerging Technologies: From Smartphones to IoT to Big Data",3.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[9.1,22.9]","Spanish","English","information-technology","cloud-computing","P3OXZhkJEeiMqBKHQprRHg"]
["2. Upskill","Communication","AR (Augmented Reality) & Video Streaming Services Emerging Technologies","Yonsei University","Advanced",15.6,4.44,"https://www.coursera.org/learn/ar-technologies-video-streaming","Welcome to the course “Augmented Reality & Video Service Emerging Technologies.” The level of AR (Augmented Reality) and advanced video & multimedia technology included in a product is what determines the level of value and luxury. The objective of this course is to teach all important technologies that are used in state-of-the-art AR, Skype, and YouTube video and multimedia products and services. This includes the advanced video and real-time multimedia delivery mechanisms based on H.264/MPEG-4 AVC, MPEG-DASH, CDN, and mobile CDN. If you have knowledge of these core technologies, you can understand the operations that are used in every advanced video and multimedia system in the World. As the future World of business and products are driven to be more and more video and multimedia oriented, having knowledge of these core technologies will enable you to lead your company to become the true World leader in AR and video multimedia technology products, services, and business. Thus, I cordially welcome you into the beautiful and powerful World of advanced AR and video multimedia!","augmented-reality; wi-fi; emerging-technologies","Emerging Technologies: From Smartphones to IoT to Big Data",4.0,"https://www.coursera.org/specializations/emerging-technologies","This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.","[6.6,21.6]","Spanish","English","information-technology","cloud-computing","ULheARkJEeiMbgquyRDyrA"]
["2. Upskill","Communication","Internet of Things: Communication Technologies","University of California San Diego","Intermediate",7.8,4.47,"https://www.coursera.org/learn/internet-of-things-communication","Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors. \\n\\nIn this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages.  You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app. \\n\\nLearning Goals: After completing this course, you will be able to:\\n\\n1.\\tImplement session initiation, management and termination on your DragonBoard™ 410c using SIP.\\n2.\\tDiscover other users and exchange device capabilities.\\n3.\\tCompare and contrast narrowband and wideband codecs and experience the voice quality differences between them.\\n4.\\tImplement and demonstrate VoIP calls using the DragonBoard 410c.","internet; uniform-resource-identifier; codecs; owned; voice-over-ip; void; software; internet-of-things","Internet of Things",4.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[4.3,9.4]","Korean","English","computer-science","computer-security-and-networks","X4ituSzfEeWl3A7Kuc0JCQ"]
["2. Upskill","Communication","Internet of Things: Multimedia Technologies","University of California San Diego","Intermediate",5.7,4.49,"https://www.coursera.org/learn/internet-of-things-multimedia","Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective. \\n\\nIn this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc.  You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application. \\n\\nLearning Goals: After completing this course, you will be able to:\\n\\n1.\\tExplain the tradeoffs between media quality and bandwidth for content delivery. \\n2.\\tExtract and display metadata from media files.\\n3.\\tImplement and demonstrate a simple media player application using DragonBoard™ 410c.","communication-theory; linux; learning; computer-vision; multimedia; c-libraries; internet-of-things; codecs; data-transmission; integration-testing","Internet of Things",5.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[3.6,6.4]","NA","English","physical-science-and-engineering","electrical-engineering","er2NJyzfEeWv_w7cMMH1Uw"]
["2. Upskill","Digital Media","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["2. Upskill","Digital Media","Digital Media and Marketing Strategies","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.32,"https://www.coursera.org/learn/marketing-plan","The proliferation of digital technology gives businesses a diverse new set of tools to reach, engage, monitor, and respond to consumers to an unprecedented degree. The aggregated and voluminous digital data can also be leveraged to better target specific consumer segments. Following the Digital Marketing Channels: The Landscape, this course aims to give you a deeper understanding of core processes of planning a digital marketing campaign and the role of various digital channels in an integrated marketing communication.","media-market; digital-marketing; mobile-marketing; digital-media; analytics; planning; social-media; market-economics; marketing; social-media-marketing","Digital Marketing",5.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[8.6,18.1]","NA","English","business","marketing","EwYkXeIJEeS1-iIAC5II5Q"]
["2. Upskill","Digital Media","Multimodal Literacies: Communication and Learning in the Era of Digital Media","University of Illinois at Urbana-Champaign","NA",15.3,4.91,"https://www.coursera.org/learn/multimodal-literacies","This course introduces innovative approaches to learning and teaching, with a focus on the use of e-learning and social web technologies.","pedagogy; digital-media; media-literacy; communication-sciences","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.8,20.1]","NA","English","social-sciences","education","XDC_NbfLEeS4lSIAC1AIDw"]
["2. Upskill","Media Law and Ethics","Internet Giants: The Law and Economics of Media Platforms","The University of Chicago","Beginner",35.0,4.83,"https://www.coursera.org/learn/internetgiants","This seven-week course will explore the relationship between law and technology with a strong focus on the law of the United States with some comparisons to laws around the world, especially in Europe. Tech progress is an important source of economic growth and raises broader questions about the human condition, including how culture evolves and who controls that evolution. Technology also matters in countless other ways as it often establishes the framework in which governments interact with their citizens, both in allowing speech and blocking it and in establishing exactly what the boundaries are between private life and the government.  And technology itself is powerfully shaped by the laws that apply in areas as diverse as copyright, antitrust, patents, privacy, speech law and the regulation of networks.\\n\\n The course will explore seven topics:\\n\\n 1.      Microsoft: The Desktop vs. The Internet. We will start with a look at the technology path that led to the first personal computer in early 1975, the Altair 8800. That path starts with the vacuum tube, moves to transistors, then to integrated circuits and finally to the microprocessor. We will look at the early days of software on the personal computer and the competition between selling software and open-source approaches as well as the problem of software piracy. We will discus the public good nature of software. The 1981 launch of the IBM PC revolutionized the personal computer market and started the path to Microsoft's powerful position and eventual monopoly in that market with the selection of MS-DOS. We then turn to four antitrust cases against Microsoft: (1) the 1994 U.S. case relating to MS-DOS licensing practices; (2) the U.S. antitrust middleware case over Microsoft’s response to Netscape Navigator; (3) the European Union case regarding Windows Media Player; and (4) the EU browser case over Internet Explorer. These disputes arose at the point of maximal competition between the free-standing personal computer and the Internet world that would come after it and we may know enough now to assess how these cases influenced that competition.\\n\\n 2.      Google Emerges (and the World Responds). Google has emerged as one of the dominant platforms of the Internet era and that has led to corresponding scrutiny by regulators throughout the world. Decisions that Google makes about its algorithm can be life altering. Individuals are finding it more difficult to put away past mistakes, as Google never forgets, and businesses can find that their sales plummet if Google moves them from the first page of search results to a later page. With great power comes scrutiny and we will look at how government regulators have evaluated how Google has exercised its power. Both the U.S. Federal Trade Commission and the European Union have undertaken substantial investigations of Google’s practices and we will look at both of those.\\n\\n 3.      Smartphones. The Internet started on the desktop but the Internet is increasingly mobile and people are seemingly tethered to their smartphones and tablets. And we have seen an interesting shift in that market away from Nokia handsets and the Blackberry to Apple's iPhone and its iOS platform and to the Android platform. The legal infrastructure of smartphones and tablets is extraordinarily complex. We will start by looking at U.S. spectrum policy and the effort to free up 500 megahertz of spectrum. We will look at the activities of standard setting organizations, including the IEEE and the creation of the 802.11 standard and Wi-Fi (or, if you prefer, wifi), the creation of patent pools and the regulation of standard essential patents. We will look at the FTC action against Google/Motorola Mobility and Apple's lawsuit against Samsung over utility and design patents relating to the iPhone. Finally, we will take a brief look at the European Commission's investigation into the Android platform.\\n\\n 4.      Nondiscrimination and Network Neutrality. Facebook has more than 1 billion users and measure that against a world population of roughly 7 billion and a total number of Internet users of roughly 2.5 billion. A course on law and technology simply has to grapple with the basic framework for regulating the Internet and a key idea there is the notion of network neutrality. Nondiscrimination obligations are frequent in regulated network industries, but at the same, discrimination can be an important tool of design for communication networks. We will start our look at the Internet by looking at the great first communications network of the United States, the post office and will look in particular at the Post Office Act of 1845.   We will then move to modern times and will consider efforts by the U.S. Federal Communications Commission to produce sensible and sustainable nondiscrimination conditions for the Internet and will touch briefly on comparisons from around the world.\\n\\n 5.      The Day the Music Died? In many ways, the Internet came first to music with the rise of peer-to-peer (p2p) music sharing through Napster and its successors. We start with a look into music platform history and the devices that brought recorded music into the home: the phonograph and the player piano. We turn to radio and the legal regime that puts music on the airwaves, the performing rights organizations like ASCAP and BMI. We look at the antitrust issues associated with the blanket license. We consider a failed music platform, digital audio tape, and the complicated legal regime associated with it, the Audio Home Recording Act of 1992. We will consider the copyright issues raised by the creation and distribution of music and the litigation over the p2p technologies such as Napster and Grokster. The music industry responded to p2p technology by adding digital rights management tools to CDs. As music distribution switched from physical media to digital distribution, we entered the world of Apple and the iPod and iTunes. We consider the DRM issues associated with Apple's music platform as seen by Steve Jobs. We conclude by looking at emerging subscription services like Spotify and the service that Apple is building based on its purchase of Beats.\\n\\n 6.      Video: Listening and Watching. Images are some of the most powerful ways in which ideas and speech are communicated and video has long been regulated by the state. That starts as a communications law issue with government regulation of the radio spectrum, but also leads to the design of the television system with the assignment of channels and eventually the definition of digital television. And with the emergence first of cable TV and subsequently the VCR critical copyright roadblocks had to be overcome for new distribution technologies to emerge. We will consider the legal engineering that led to the DVD platform, which was an exercise in patent pools and trademark creation. We will sort through the creation of the digital TV platform and will also look at the copyright underpinnings for Netflix. And we will consider the question of technology neutrality in the content of the copyright fight over a new video distribution entrant, Aereo. Finally, we close the week with a brief look at the incentive spectrum auctions and the possible end of broadcast television.\\n\\n 7.      The Mediated Book. Gutenberg revolutionized books with his printing press and for academics, books are sacred objects. But the printed book is on the run and with the rise of the ebook, we are entering a new era, the era of the mediated book. This is more than just a change in technology. We will look at the issues created by the rise of the ebook, issues about control over content and licensing and of the privacy of thought itself. We will also look at the legal skirmishes over this space, including the copyright fair use litigation over Google Books, the Apple e-book antitrust case. And we will look at the Amazon Kindle platform.","patent-law; copyright; market-economics; intellectual-property; competition-law; intellectual; law; economics; media-law; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23,46.5]","NA","English","social-sciences","law","V9_aHBU7EeWfzgpfp_iBVw"]
["2. Upskill","Networking","Networks and Communications Security","(ISC)²","Advanced",15.4,4.68,"https://www.coursera.org/learn/network-security-communications-sscp","Welcome to Networks and Communications Security Course!\\nIn the Networks and Communications Security Course, you will learn about the network structure, data transmission methods, transport formats, and the security measures used to maintain integrity, availability, authentication, and confidentiality of the information being transmitted.\\nConcepts for both public and private communication networks will be discussed.\\n\\nCourse Objectives\\n1. Describe network-related security issues\\n2. Identify protective measures for telecommunication technologies\\n3. Define processes for controlling network access\\n4. Identify processes for managing LAN-based security\\n5. Describe procedures for operating and configuring networked-based\\nsecurity devices\\n6. Define procedures to implement and operate wireless technologies","security; integration-testing; null-character; sources; application-layer; network-security; secure-communication; list-of-facebook-features; communication; security-interest","(ISC)² Systems Security Certified Practitioner (SSCP)",5.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[7.8,21.3]","NA","English","information-technology","security","f8aGKd6gEeenNRKVx8XrYg"]
["2. Upskill","Networking","Networks: Friends, Money, and Bytes","Princeton University","Intermediate",34.9,4.75,"https://www.coursera.org/learn/friends-money-bytes","You pick up your iPhone while waiting in line at a coffee shop. You google a not-so-famous actor, get linked to a Wikipedia entry listing his recent movies and popular YouTube clips of several of them. You check out user reviews on Amazon and pick one, download that movie on BitTorrent or stream that in Netflix. But suddenly the WiFi logo on your phone is gone and you're on 3G. Video quality starts to degrade, but you don't know if it's the server getting crowded or the Internet is congested somewhere. In any case, it costs you $10 per Gigabyte, and you decide to stop watching the movie, and instead multitask between sending tweets and calling your friend on Skype, while songs stream from iCloud to your phone. You're happy with the call quality, but get a little irritated when you see there're no new followers on Twitter. You may wonder how they all kind of work, and why sometimes they don't. Take a look at the list of 20 questions below. Each question is selected not just for its relevance to our daily lives, but also for the core concepts in the field of networking illustrated by its answers. This course is about formulating and answering these 20 questions.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","download; cloud-computing; increment-and-decrement-operators; facebook; wi-fi; google; pagerank; human-error-assessment-and-reduction-technique; internet; skype","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[32.6,36]","NA","English","computer-science","computer-security-and-networks","jFdogKV2EeSpMCIAC1EMBg"]
["2. Upskill","Networking","Software Defined Networking","The University of Chicago","Advanced",48.6,4.61,"https://www.coursera.org/learn/sdn","In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.","list-of-facebook-features; jenkins-software; abstraction-layer; openflow; parsing; software-defined-networking; software-development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[29.1,66]","NA","English","computer-science","computer-security-and-networks","mEvpo36FEeW53BJEfL52qQ"]
["2. Upskill","Networking","Digital Signal Processing","École Polytechnique Fédérale de Lausanne","Advanced",38.5,4.66,"https://www.coursera.org/learn/dsp","Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. \\n\\nThe goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.\\n\\nTo make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.","data-transmission; digital-signal-processing; fourier-analysis; process; discrete-fourier-transform; analysis; signal-processing; python-programming-language; communication; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[24.7,54]","NA","English","physical-science-and-engineering","electrical-engineering","wAOL80JGEeWBrBIWi3mmCw"]
["2. Upskill","Security","Palo Alto Networks Academy Cybersecurity Foundation","Palo Alto Networks","Intermediate",13.0,4.68,"https://www.coursera.org/learn/cybersecurity-foundation","Course Overview:\\nIn this course, students will learn the fundamentals of cybersecurity and identify the concepts required to recognize and potentially mitigate attacks against enterprise networks as well as mission critical infrastructure.  Course 1 of 5 in the Palo Alto Networks Security Operating Platform Cybersecurity Specialization.\\n\\nCourse Structure – 7 Modules\\nEach module has the following components:  Reading, e-learning, Discussion, and Assessment. E-learning components either direct students to online resources or deliver audio transcriptions of the module reading component. Assessments are quizzes that are designed as learning activities, and allow students two attempts for each quiz. At the end of the course there is a hands-on lab activity. \\n\\nSupporting Materials\\nThe CyberSecurity Survival Guide is a downloadable pdf file that presents information included in both the Foundation and Gateway classes as well as glossary ‘key’ terms and figures. The Foundation course maps to Chapter 1 of the Survival Guide.","network-security; security; scrum-software-development; threat; malware; data-centers; computer-security; cloud-computing; data-segment; cloud-computing-security","Palo Alto Networks Cybersecurity",1.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[5.6,19.5]","Arabic","English","information-technology","security","7wRcAC7HEeieyQoEmfUmdA"]
["2. Upskill","Security","Palo Alto Networks Cybersecurity Gateway I","Palo Alto Networks","Beginner",14.9,4.67,"https://www.coursera.org/learn/cybersecurity-gateway-1","PaloAlto Networks Gateway 1 \\n\\nGateway 1 Course Description:\\nGateway Part I  provides the student with a partial understanding of the fundamental tenants of networking and covers the general concepts involved in maintaining a secure network computing environment. Upon successful completion of this course, students will be able to partially examine and describe general networking fundamentals,  and also implement basic networking configuration techniques.\\n\\nWhy Should You Take This Course: \\n\\n\\nGateway 1 Course Objectives:\\nUpon completion of this course, students will be able to: \\n•\\tDemonstrate knowledge of interconnected technology in daily communication and understanding systems that need protection. \\n•\\tDemonstrated knowledge of physical, logical, and virtual addressing that accommodates various sized networks through the use of subnet mask schemes. \\n•\\tExplain the TCP/IP Model and correctly identify the functions of the specific layers including packet encapsulation and lifecycle.","computer-security; malware; administrative-share; shark; experience","Palo Alto Networks Cybersecurity",2.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[6.4,20.1]","NA","English","information-technology","security","UC7vNy7IEeioZArrdimmng"]
["2. Upskill","Security","Palo Alto Networks Cybersecurity Gateway II","Palo Alto Networks","Intermediate",9.2,4.53,"https://www.coursera.org/learn/cybersecurity-gateway-2","Cybersecurity Gateway II \\n\\nGateway II Course Description\\nGateway II provides the student with a full understanding of the fundamental tenants of networking and covers the general concepts involved in maintaining a secure network computing environment. Upon successful completion of this course, students will be able to fully examine, describe general networking fundamentals and implement basic networking configuration techniques. \\n\\nGateway II Learning Objectives: \\nUpon completion of this course, students will be able to: \\n•\\tExamine cybersecurity landscape environments, attack threat vectors, exposure, vulnerabilities, and risk factors. \\n•\\tAccurately explain common use of cloud, virtualization, storage, backup, and recovery procedures. \\n•\\tApply the knowledge and skills necessary to plan, design, implement, troubleshoot, and maintain network infrastructure environments.","troubleshooting; recovery-procedure; dotproperties; security; platform-as-a-service; file-system; linux-file-systems; network-security; computer-security","Palo Alto Networks Cybersecurity",3.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[4.2,11.8]","NA","English","information-technology","security","XKYn4y7IEeiRVgrlrdHlsg"]
["2. Upskill","Security","Palo Alto Networks Cybersecurity Essentials I","Palo Alto Networks","Advanced",12.2,4.69,"https://www.coursera.org/learn/cybersecurity-essentials-1","Palo Alto Networks Cybersecurity Essentials I\\n\\nCourse Description: \\nEssentials I provides the student with a partial understanding of the fundamental tenants of cybersecurity and covers the general security concepts involved in maintaining a secure network computing environment. Students will partially learn the nature and scope of today’s cybersecurity challenges, strategies for network defense, as well as detailed information about next-generation cybersecurity solutions. Students will also deploy a variety of security methodologies as well as technologies and concepts used for implementing a secure network environment. \\n\\nLearning Objectives: \\nUpon completion of this course, students will be able to: \\n• Formulate an industry-standard design to protect infrastructure against cybersecurity threats. \\n• Apply advanced filtering methodologies such as user, application, and content ID to protect against all known and unknown attack vectors. \\n• Describe the basics of cryptography including synchronous/asynchronous encryption, PKI, and certificates.","next-generation-firewall; porting; java-annotation; threat-model; threat; s-sl-programming-language; security; peering; computer-security; internet-security","Palo Alto Networks Cybersecurity",4.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[5.1,16.3]","NA","English","information-technology","security","MyPZyF0EEeiELA7FkO5rDg"]
["2. Upskill","Security","Palo Alto Networks Cybersecurity Essentials II","Palo Alto Networks","Intermediate",11.1,4.52,"https://www.coursera.org/learn/cybersecurity-essentials-2","Palo Alto Networks Cybersecurity Essentials II\\n\\nCourse Description: \\nEssentials II provides the student with a full understanding of the fundamental tenants of cybersecurity and covers the general security concepts involved in maintaining a secure network computing environment. Students will fully learn the nature and scope of today’s cybersecurity challenges, strategies for network defense, as well as detailed information about next-generation cybersecurity solutions. Students will also deploy a variety of security methodologies as well as technologies and concepts used for implementing a secure network environment. \\n\\nLearning Objectives: \\nUpon completion of this course, students will be able to: \\n•\\tDemonstrate ability to assess and harden endpoints based on security policies.\\n•\\tDescribe uses of advanced malware research and analysis to provide enhanced protection for enterprise networks. \\n•\\tExamine mobile and cloud-based connection technologies.","cyber-security-regulation; network-layer; wireshark; computer-security","Palo Alto Networks Cybersecurity",5.0,"https://www.coursera.org/specializations/palo-alto-networks-cybersecurity","The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles.\\n\\nThe Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies.","[5.1,15]","NA","English","information-technology","security","6a74bl0TEei8DAoSywaPZA"]
["2. Upskill","Social Media","The Importance of Listening","Northwestern University","Beginner",10.9,4.6,"https://www.coursera.org/learn/importance-of-listening","In this second MOOC in the Social Marketing Specialization - \"The Importance of Listening\" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video. In this MOOC, guest speakers from Social Gist, BroadReader, Lexalytics, Semantria, Radian6, and IBM's Bluemix and Social Media Analytics Tools (SMA) will join Professor Hlavac to take you through the full range of analytics tools and options available to you and how to get the most from them. The best part, most of them will be available to you through the MOOC for free! Those purchasing the MOOC will receive special tools, templates, and videos to enhance your learning experience. In completing this course you will develop a fuller understanding of the data and will be able to increase the effectiveness of your content strategy by making better decisions and spotting crises before they happen! MOOC 2 bonus content in the paid toolkit includes access to Semantria's analytics engine to extract some data on the markets you are developing and have it analyzed. \\n\\nAs a student in this course, you are being provided the opportunity to access IBM Bluemix® platform-as-a-service trial for up to six months at no-charge with no credit card (up to a $1500 value).\\n\\nNOTE: By enrolling in this course, given access to IBM's Bluemix technology for one month for free as well as Lexalytics' Semantria tool. For those earning a Course Certificate, you will be given an additional five months of Bluemix and three months of Semantria at no cost with a special key code. By enrolling for a Course Certificate for this MOOC, you are acknowledging that your email will be shared with Lexalytics for the sole and express purpose of generating your individual key code. After the key code has been generated, Lexalytics will delete your email from its records. \\n\\nAdditional MOOC 2 faculty include: \\n* Steve Dodd (SVP Business Development, Effyis - dba BoardReader and Socialgist - Global Social Media Content Access) \\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Chris Gruber (Social Media Analytics Solution Architect, IBM)\\n* Russell Beardall (Cloud Architect, IBM) \\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Tressie Lieberman (VP Digital Innovation, Taco Bell)","social-media-tools; influencer-marketing; social-media-marketing; analytics; market-economics; social-media; crisis; media-market; marketing; social-marketing","Social Media Marketing",2.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[7,13.2]","NA","English","business","marketing","t1gZRTXyEeW6RApRXdjJPw"]
["2. Upskill","Social Media","Engagement & Nurture Marketing Strategies","Northwestern University","Beginner",8.4,4.71,"https://www.coursera.org/learn/nurture-market-strategies","In this third course in the Social Marketing Specialization - \"The Engagement & Nurture Marketing Strategies\" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. After this MOOC, you will have developed a plan to reach your target consumer markets and know when it is best to either use or avoid specific social marketing strategies.\\n\\nAdditional MOOC 3 faculty include: \\n* Randy Krum (Data Visualization & Infographics Designer | Consultant | Author | Speaker | President, InfoNewt)\\n* Stanford Smith (CEO, Pushing Social)\\n* Andy Crestodina (Co-Founder & Strategic Director, Orbit Media Studios)\\n* Ellen Valentine (Veteran Marketing Leader & Evangelist, Silverpop, IBM)","ordered-pair; blogging; media-market; marketing; social-media-marketing; social-media; marketing-strategy; writing; social-marketing; integration-testing","Social Media Marketing",3.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.5,10]","Arabic","English","business","marketing","-0BI9jXyEeWa2g6sjqf03Q"]
["2. Upskill","Social Media","Content, Advertising & Social IMC","Northwestern University","Beginner",7.7,4.68,"https://www.coursera.org/learn/social-imc","Want your content to go viral? Who doesn't! It takes a thoughtful, integrated approach to make content that stands out in our increasingly oversaturated world. In this fourth course of the Social Marketing Specialization - \"Content, Advertising & Social IMC\" - you will learn how marketers are successfully navigating today's media landscape. You will learn why developing engaging content for your audience is an essential component in effective social marketing. A panel of experts will unlock the paid/owned/earned media riddle and replace it with an integrated who/what/where approach that utilizes platform-specific messaging to grow your market share. This course also includes an overview of the integrated marketing communications strategy for social and how it is being deployed around the globe, as well as gamification tips to keep your audiences coming back for more. In addition, you will learn the secrets to advertising on Facebook and other social sites.\\n\\nAdditional MOOC 4 faculty include:\\n* Judy Ungar Franks (President, The Marketing Democracy, Ltd. & Lecturer, Medill Integrated Marketing Communications, Northwestern)\\n* Steffi Decker (Junior Partner, Chong and Koster)\\n* Joey Strawn (Director of Integrated Marketing, Industrial Strength Marketing)","advertising; social-media; social-media-marketing; performance; a-b-testing; market-economics; media-market; marketing; marketing-strategy; social-marketing","Social Media Marketing",4.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5,9.2]","NA","English","business","marketing","RYH9NTXzEeWWBQrVFXqd1w"]
["2. Upskill","Social Media","The Business of Social","Northwestern University","Beginner",5.1,4.67,"https://www.coursera.org/learn/business-of-social","In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - \"The Business of Social\" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.\\n\\nAdditional MOOC 5 faculty include:\\n* Rich Gordon (Professor & Director of Digital Innovation, Medill, Northwestern)\\n* Tom Collinger (Executive Director Spiegel Research Center and Senior Director Distance Learning, Medill Integrated Marketing Communications, Northwestern)\\n* Seth Redmore (CMO, Lexalytics, Inc.)\\n* Jeff Davidoff (CMO, Donuts.Domains) \\n* Matt Krull (Business Unit Executive, IBM Security) \\n* Frank Mulhern (Associate Dean, Department Chair, and Professor, Integrated Marketing Communications, Northwestern)","social-marketing; a-b-testing; market-economics; media-market; social-media; marketing; budget; social-media-marketing; management; integration-testing","Social Media Marketing",5.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[2.9,6.1]","NA","English","business","marketing","pbw8djXzEeW6RApRXdjJPw"]
["2. Upskill","Social Media","Social Marketing Capstone Project","Northwestern University","Beginner",9.6,4.9,"https://www.coursera.org/learn/social-marketing-capstone","Your markets are on social and you need to be there. However, your social strategy needs to be based on the business metrics which define your success. This final Capstone Project in the Social Marketing Specialization will put the methodologies, tools, and insights you have learned to the test as you create a multifaceted plan to assure effective social marketing is an integral part of your business strategy. Whether your company has a sophisticated Engagement Strategy or you are a new start-up, you will learn to harness the full power of social marketing to grow provable market share and build stronger relationships with your high value markets. For success in today's digital world, you must have a plan to integrate your social and mobile marketing strategies into your business strategy. In this Capstone you will use the practical skills that you’ve mastered through the Specialization to demonstrate your ability to integrate social and mobile marketing strategies into a company’s business strategy.\\n\\n2016 Capstone Schedule:\\n1st offering begins on February 29 (2/29/16). It will be offered again starting on May 23 (5/23/16), August 29 (8/29/16), and November 28 (11/28/16),","social-media; analytics; marketing; market-economics; plan; media-market; planning; social-media-marketing; budget; market-research","Social Media Marketing",6.0,"https://www.coursera.org/specializations/social-media-marketing","In a 2018 survey of businesses, Buffer found that only 29% had effective social media marketing programs. A recent survey of consumers by Tomoson found 92% of consumers trust recommendations from other people over brand content, 70% found consumer reviews to be their second most trusted source, 47% read blogs developed by influencers and experts to discover new trends and new ideas and 35% used blogs to discover new products and services. Also, 20% of women who used social considered products promoted by bloggers they knew. Today, businesses and consumers use social media to make their purchase decisions.\\n\\nCreated in 2014, this Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics. In each course, you will also receive special toolkits with timely information & when you pay for the Capstone, you receive a market planning toolkit.\\n\\nEach of the individual courses can be audited for free. To see more, visit each course: 1-What is Social?, 2-The Importance of Listening, 3-Engagement & Nurture Marketing Strategies, 4-Content, Advertising & Social IMC, 5-The Business of Social.","[5.7,12.2]","Arabic","English","business","marketing","1Sgg6jXzEeWWBQrVFXqd1w"]
["2. Upskill","Social Media","Influencer Marketing Strategy","Rutgers the State University of New Jersey","Advanced",25.9,4.41,"https://www.coursera.org/learn/influencer-marketing-strategy","Influencer marketing is the practice of engaging internal and industry experts with active networks to help achieve measurable business goals. \\n\\nThis course is about strategy. Although there is no all-purpose, one-size-fits-all influencer marketing strategy template, you will learn how to tailor one for a wide variety of B2B, B2C, and nonprofit organizations using the two-step flow model of communication.\\n \\nBut this course is also about tactics. I believe, “Strategy without tactics is the slowest route to victory. Tactics without strategy is the noise before defeat.” So, you will learn both in this 6-week long course.\\n\\nYour final project for this course is to create a pitch deck for a social media influencer strategy. The purpose of your final project is to give you a concrete artifact that you can use to demonstrate your mastery of new competencies and skills to either the executives in your current organization or to prospective employers.","brand; marketing-strategy; b2b-marketing; social-media; public-relations; content-marketing; influencer-marketing; marketing; social-media-marketing; marketing-analytics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17,33.2]","NA","English","business","marketing","Axwi2MCtEeedJRJjt8USWA"]
["2. Upskill","Social Media","Ethical Social Media","The University of Sydney","NA",16.5,4.1,"https://www.coursera.org/learn/ethical-social-media","Social media connects us across space and time, allowing us to find like-minded communities and participate creatively in public life as never before.  We may often use social media without thinking much about the possible consequences.   But there is a shadow side associated with social media use, which takes the form of hate speech, increased surveillance, lack of anonymity and questionable use of our data. What do we need to know to use social media spaces effectively, in a way that is safe and productive for all?\\n\\nThis course will guide you into a deeper exploration of online identity, social media communities and their users.  You will examine the ways that social media is being used by public institutions such as government to build participation and conversation with audiences.  You will encounter the most common ethical debates in social media.  \\n\\nYou will also have the opportunity to build your practical skills by developing your professional social media profile, defining your audience, building your social media influence and understanding how to interpret data analytics to \"listen\" and communicate well.","old-media; media-communication; social-media; social-media-measurement; marketing; plan; media-strategy; communication; social-media-marketing; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,23.2]","NA","English","social-sciences","governance-and-society","5uY2s0U4EeWbNhIvIryYow"]
["2. Upskill","Sports and Gaming","Game Developers and Esports Organizations","University of California, Irvine","Intermediate",5.8,4.38,"https://www.coursera.org/learn/game-developers-esports-organizations","Before you can have an Esport, you must have a video game to play and a game developer to design it. This course is dedicated to discussing game developers and their relationship with their respective Esport. The content will help you recognize the qualities a video game must have to become a successful Esport. We will examine the diagram demonstrating the various competitive structures commonly found in Esports.\\nEsports, just like traditional sports, have their own professional organizations. These organizations strive to become successful businesses that win, make a profit, take care of their professional players, and attract a large audience. We will explore the factors that contribute to an Esports organization’s success, including branding, positioning, structuring the organization and funding sources.","identity-management; sports-analytics; brand-marketing; industry-analysis; analysis; social-media-marketing","Esports",1.0,"https://www.coursera.org/specializations/esports","The Esports Management Specialization prepares students to turn a passion for gaming into a viable career. According to a market report by Newzoo, global esports revenues have reached $906 million in 2018, a year-on-year growth of +38%. Speak knowledgeably about the history, community, and business of esports with future employers and other stakeholders in the industry. Individuals aspiring to launch or already beginning their career in the business of esports. This program suits game developers, finance professionals, community managers, marketers, and project managers. Overview of esports will introduce learners to the roles and influences that game developers have in the industry. Learners get a glimpse into the structures of an organization and how it builds a brand. Learners will also be informed of the jobs available in esports and where to get started in order to be involved.","[3.6,6.9]","NA","English","business","leadership-and-management","wl1_Y94qEeimBhLzG9huFg"]
["2. Upskill","Sports and Gaming","Esports Teams and Professional Players","University of California, Irvine","Intermediate",4.5,4.29,"https://www.coursera.org/learn/esports-teams-professional-players","This course will be focusing on the competitive Esport team and individual professional players. Whether you are playing on a team or competing as an individual, you will find that being a professional Esports player is more complex and nuanced than most people realize. We will be talking a lot about the support staff surrounding players, the intricacy of navigating contracts, and the hardships of committing yourself to professional play.\\nWe will also be talking about the Esports media. Similar to sports, Esports has developed its own unique ecosystem of articles, videos, streaming, social media, and overall content creation. We will examine the specifics of different types of media and explain how each has its uses in making Esports more popular as a whole.","brand-marketing; sports-analytics","Esports",2.0,"https://www.coursera.org/specializations/esports","The Esports Management Specialization prepares students to turn a passion for gaming into a viable career. According to a market report by Newzoo, global esports revenues have reached $906 million in 2018, a year-on-year growth of +38%. Speak knowledgeably about the history, community, and business of esports with future employers and other stakeholders in the industry. Individuals aspiring to launch or already beginning their career in the business of esports. This program suits game developers, finance professionals, community managers, marketers, and project managers. Overview of esports will introduce learners to the roles and influences that game developers have in the industry. Learners get a glimpse into the structures of an organization and how it builds a brand. Learners will also be informed of the jobs available in esports and where to get started in order to be involved.","[2.8,5.7]","Spanish","English","business","leadership-and-management","sBS2F94qEeimBhLzG9huFg"]
["2. Upskill","Sports and Gaming","Business of Games and Entrepreneurship","Michigan State University","Advanced",20.5,4.28,"https://www.coursera.org/learn/gamedev-business","As well as a form of art and entertainment, games are about business. Whether you want to work at a game studio, start your own business or make games as a hobby, recognizing the dynamic landscape of the videogame industry is critical to finding your place. This course will introduce you to game production, project management, teamwork skills, and how to position your game ideas and yourself in the broader marketplace. By the end of the course, you will be able to develop an impactful portfolio of game work to get noticed and/or develop an effective business plan to bring your game to market.","project-management; business-plan; marketing; product-business; planning; plan; entrepreneurship; project; product; management","Game Design and Development",3.0,"https://www.coursera.org/specializations/game-development","Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs.\\n\\nThis Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.","[10.8,31.6]","NA","English","business","business-strategy","urbm-CT-EeWCGRL6mLoB5w"]
["2. Upskill","Sports and Gaming","Esports Management Capstone Project","University of California, Irvine","Beginner",3.6,4.33,"https://www.coursera.org/learn/esports-management-capstone-project","We will analyze the pros and cons of creating a single or multiple Esport organization and recommend an effective branding strategy for a hypothetical Esport organization based on current Esport branding considerations.\\nYou will develop a plan for recruiting funding resources for a hypothetical Esports organization and choose an Esport organization role of interest, other than Owner, and describe your reasoning.","sports-analytics; brand-marketing","Esports",4.0,"https://www.coursera.org/specializations/esports","The Esports Management Specialization prepares students to turn a passion for gaming into a viable career. According to a market report by Newzoo, global esports revenues have reached $906 million in 2018, a year-on-year growth of +38%. Speak knowledgeably about the history, community, and business of esports with future employers and other stakeholders in the industry. Individuals aspiring to launch or already beginning their career in the business of esports. This program suits game developers, finance professionals, community managers, marketers, and project managers. Overview of esports will introduce learners to the roles and influences that game developers have in the industry. Learners get a glimpse into the structures of an organization and how it builds a brand. Learners will also be informed of the jobs available in esports and where to get started in order to be involved.","[1.7,4.2]","NA","English","business","leadership-and-management","3lnNSt4qEeiVwgrvrH_o5A"]
["2. Upskill","Sports and Gaming","Games, Sensors and Media","University of California, Irvine","Beginner",22.5,4.55,"https://www.coursera.org/learn/games","You will learn to make fluid digital interactive experiences that are suitable for gaming and use the advanced sensor hardware built into the iPhone and iPad. This includes drawing 2D graphics, playing sounds and music, integrating with Game Center, the iOS physics engine and detecting device orientation and location.\\n\\nUpon completing this course, you will be able to:\\n1.       Use the reverse geocode service to convert latitude and longitude to location names\\n2.       Implement GeoFences to make an app efficiently monitor an iOS device’s location\\n3.       Leverage the power of accelerometers, magnetometers and gyroscopes to orient a device in physical space\\n4.       Create an app that responds to ambient light levels by using screen brightness as a proxy\\n5.       Play sound effects and other media as audio\\n6.       Make a game like Pong\\n7.       Make a game like Breakout\\n8.       Manipulate graphics in a game environment\\n9.       Use the physics engine to create realistic game worlds\\n10.     React to multi-touch events for complex interaction design\\n11.     Detect and respond to collisions and contacts efficiently\\n12.     Chain complex sequences of actions, animations and sounds with precision\\n13.     Animate multi-frame sprites\\n14.     Create particle systems to simulate fire, smoke and magic (and more!)\\n15.     Interface with Game Center to create leaderboards and achievements that can be shared through social networks","social-network; lookup-table; smartphones; human-readable-medium; ios; interaction-design; web; particle-system","iOS Development for Creative Entrepreneurs",4.0,"https://www.coursera.org/specializations/ios-development","This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.","[16.9,26.1]","NA","English","computer-science","software-development","5seL5DVuEeWa2g6sjqf03Q"]
["2. Upskill","Sports and Gaming","International Entertainment and Sports Marketing","Yonsei University","Intermediate",7.0,4.65,"https://www.coursera.org/learn/international-entertainment-sports-marketing","This course will provide learners with a fundamental understanding of the characteristics and marketing strategies related to two key global industries, sports and entertainment. The growth in both industries have been fueled by their ability to innovate via CCCI, i.e. cross-country and cross-industry expansion. There will be a graded quiz that will consists of 10 questions during the first two weeks (together worth 50% of the grade)  and a final quiz that contains 20 questions (worth 50% of the grade) in the third week. \\n\\nPeople who successfully complete this course will obtain the following outcomes:\\n\\n(1) You will learn the key characteristics of sports marketing.\\n(2) You will learn the key characteristics of entertainment marketing.\\n(3) You will be able to apply cross country growth strategies to your business in the sports and entertainment industry. \\n(4) You will be able to apply cross industry growth strategies to your business in the sports and entertainment industry”. \\n(5) You will be able to reference CCCI, i.e. cross-country and cross-industry Innovation best practices via interviews with key experts in the sports and entertainment industry such as from adidas, Audi, and YG Entertainment (home to Psy and Gangnam Style).","global-marketing; international-finance; marketing; global; sports; market-economics; advertising; educational-entertainment; sports-marketing; brand","International Marketing & Cross Industry Growth",5.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[4.8,8.3]","Chinese; Spanish","English","business","marketing","MgL5IIE6EeWBvwrKtFGfAw"]
["2. Upskill","Sports and Gaming","Online Games: Literature, New Media, and Narrative","Vanderbilt University","Beginner",31.8,4.65,"https://www.coursera.org/learn/interactive-media-gaming","Intended for both newcomers who are curious about video games and experienced gamers who want to reflect on their passion, this course will explore what happens to stories, paintings, and films when they become the basis of massively multiplayer online games.  The Lord of the Rings trilogy—the novels, films, and video game—are our central example of how “remediation” transforms familiar stories as they move across media. \\n\\nThe course is designed as a university-level English literature class—a multi-genre, multimedia tour of how literature, film, and games engage in the basic human activity of storytelling.  Our journey will enable us to learn something about narrative theory, introduce us to some key topics in media studies and cover some of the history and theory of video games.  It will also take us to some landmarks of romance literature, the neverending story that lies behind most fantasy games: J.R.R. Tolkien’s The Fellowship of the Ring, a bit of Edmund Spenser’s Faerie Queene, and poems by Keats, Tennyson, Browning, and others.\\n\\nDrawing on centuries of romance narrative conventions, the twenty-first century gaming industry has become a creative and economic powerhouse.  It engages the talents of some of our brightest writers, artists, composers, computer engineers, game theorists, video producers, and marketing professionals, and in 2012, it generated an estimated $64 billion in revenue.  Anyone interested in today’s culture needs to be conversant with the ways this new medium is altering our understanding of stories.  Join me as we set out on an intellectual adventure, the quest to discover the cultural heritage of online games.","film; learning; interactive-storytelling; game-design; english-language; learning-to-learn; history; writing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.7,44.8]","Romanian","English","arts-and-humanities","music-and-art","QuMnnbfJEeSsbCIAC0gVBg"]
["2. Upskill","Sports and Gaming","The Olympic Games and the Media","Universitat Autònoma de Barcelona","Advanced",13.4,4.74,"https://www.coursera.org/learn/olympic-games","This course gives you a complete insight into the communication and managerial techniques put into practice in the creation of the most important sporting mega event in the world. You will learn about the essentials of television production, programming strategies and television rights management of the Olympic Games. At the same time, you will gain valuable knowledge about the fundamentals of communication via social media and of the Olympic culture which is so closely connected with classic culture and humanism. \\nThe Olympic Games are a precise reflector of advanced current societies as a whole. Many of the strategies and trends dealt with in this course are transferable  to other fields beyond the world of sport.\\n\\n\\nEste curso te ofrece un conocimiento completo de las técnicas de comunicación y gestión que se ponen en práctica en la creación del acontecimiento deportivo más importante del mundo. Aprenderás las claves de la producción y realización televisiva de los Juegos, su programación y la estrategia de gestión de los derechos audiovisuales de los Juegos Olímpicos. Al mismo tiempo, conseguirás un valioso conocimiento sobre los fundamentos de la comunicación en las redes sociales y la cultura Olímpica, que está estrechamente conectada con la cultura clásica y el humanismo. \\nLos Juegos Olímpicos son un preciso reflector de las sociedades avanzadas modernas consideradas como un todo. Muchas de las estrategias y tendencias que abordamos en este curso pueden aplicarse a otros campos diferentes al mundo del deporte.","history; sports-marketing; marketing; media-history; social-media; management; sponsor-commercial; sports; media-and-citizenship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8,15.9]","Greek; Spanish","English","business","marketing","yyYHJMbnEeWcTQrjOdDJcQ"]

{"sheet":"5. EU","index":11,"n_rows":32,"n_cols":20,"rows_kept":32,"cut":false,"hidden":false,"merged":[]}
[]
["Energy & Utilities","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
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["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Global Energy","Energy: The Enterprise","The State University of New York","Beginner",7.4,4.74,"https://www.coursera.org/learn/energy-industry-overview","This course provides a broad view of the evolving nature of energy and the influence of cost, availability, sustainability, technical advancements, lifestyle, and concern over the environment. Learners get a peek into our energy history, recent technical and societal advancements in clean energy, and some of the more important adjustments we have seen and will continue to see. It includes a discussion of how our energy infrastructure adapts to the changing landscape while managing costs, often deploying a new workforce while providing highly reliable grid power necessary for a robust and competitive economy. Material covers current and future workforce opportunities.  \\n\\nThis course is for individuals considering a career in the energy field (who have a high school diploma, at minimum, and basic knowledge of mathematics), and existing energy sector employees with less than three years of experience who have not completed similar training and would benefit from a course of foundational industry concepts.\\n\\nThe course is a combination of online lectures, videos, readings and discussions. \\n\\nThis is the fourth course in the Energy Production, Distribution & Safety specialization that explores various facets of the power sector, and features a culminating project involving creation of a roadmap to achieve a self-established, energy-related professional goal. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=2Yh9qIYiUDk.","supply-chain; learning; energy-supply; sustainable-energy; smart-grid; energy-consumption; energy-systems; generation; energy; natural-gas","Energy Production, Distribution & Safety",4.0,"https://www.coursera.org/specializations/energy-industry","This specialization provides introductory knowledge about the energy industry and associated career opportunities, whether you are interested in a utility technician or utility worker role, or emerging green energy solutions. It is intended for those considering a career in the field, and people already working in the industry who have less than three years of experience and have not completed similar training. Through four courses, learners receive an overview of electric power systems, natural gas, safety practices, and the energy industry as a whole. To learn more, please watch the overview video by copying and pasting the following link into your web browser: https://www.youtube.com/watch?time_continue=2&v=2Yh9qIYiUDk.","[3.3,9.4]","NA","English","physical-science-and-engineering","electrical-engineering","M-c65yzFEeaU1xK12iolBQ"]
["1. Literacy","Non-renewable Energy","Natural Gas","The State University of New York","Beginner",7.1,4.72,"https://www.coursera.org/learn/natural-gas","This course will educate you in the characteristics and properties of natural gas, preparing you with the ability to summarize gas system components and new pipeline technologies. You will be enabled to grasp the key factors behind formation of the natural gas industry and the historical use of natural gas. Ultimately, you will be able to identify gas and carbon monoxide safety procedures.\\n\\nThis course is for individuals considering a career in the energy field (who have a high school diploma, at minimum, and basic knowledge of mathematics), and existing energy sector employees with less than three years of experience who have not completed similar training and would benefit from a course of foundational industry concepts.\\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the second course in the Energy Production, Distribution & Safety specialization that explores various facets of the power sector, and features a culminating project involving creation of a roadmap to achieve a self-established, energy-related professional goal. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=2Yh9qIYiUDk.","electrical-engineering; process; energy-efficiency; energy-engineering; safety; utility; oil; energy; natural-gas; integration-testing","Energy Production, Distribution & Safety",2.0,"https://www.coursera.org/specializations/energy-industry","This specialization provides introductory knowledge about the energy industry and associated career opportunities, whether you are interested in a utility technician or utility worker role, or emerging green energy solutions. It is intended for those considering a career in the field, and people already working in the industry who have less than three years of experience and have not completed similar training. Through four courses, learners receive an overview of electric power systems, natural gas, safety practices, and the energy industry as a whole. To learn more, please watch the overview video by copying and pasting the following link into your web browser: https://www.youtube.com/watch?time_continue=2&v=2Yh9qIYiUDk.","[3,9.9]","NA","English","physical-science-and-engineering","electrical-engineering","w2eZrj4kEea_VAogyls_Sw"]
["1. Literacy","Non-renewable Energy","Oil & Gas Industry Operations and Markets","Duke University","Beginner",14.4,4.75,"https://www.coursera.org/learn/oilandgas","The oil and gas industry has an enormous impact on all aspects of daily life. Individuals, corporations, and national governments make financial and policy decisions based on the cost, use, and availability of these two natural resources. This two-week course looks at the two most fundamental aspects of the oil and gas industry, its operations and markets, each of which is addressed as a separate module in the course. In the operations module, the course provides an overview of the production of oil and gas, from initial exploration to final transport. The second module focuses on the forces that drive the industry's operations, the oil and gas markets, including the cost of wells, seasonal impacts on prices, and the role of oil reserves. After every lesson, learners will take short quizzes to test their newly acquired knowledge, participant in crowd-sourced discussions about global markets, and complete a final project.","oil; energy-pricing; market-economics; energy-markets; enhanced-oil-recovery; pricing; operations-management; geology; energy; natural-gas","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,20.5]","Vietnamese; Arabic","English","physical-science-and-engineering","environmental-science-and-sustainability","yJFvuj06EeWBrBIWi3mmCw"]
["1. Literacy","Renewable Energy","Solar Energy Basics","The State University of New York","Beginner",18.1,4.76,"https://www.coursera.org/learn/solar-energy-basics","This course gives you an introduction to the fundamentals of solar power as it applies to solar panel system installations. You will learn to compare solar energy to other energy resources and explain how solar panels, or photovoltaics (PV for short), convert sunlight to electricity.  You will be able to identify the key components needed in a basic photovoltaic (solar panel) system, such as is found on a house or building, and explain the function of each component in the system. You will also learn how to calculate the electrical demand of a building, how to reduce the overall demand, and then how to design a solar panel system that can meet that annual demand at a given location. You will also compare the different types of pricing models that are being used and key regulatory considerations for grid tied systems (where a house or building is connected to the electrical grid and also generates electricity from solar panels). A capstone design project that entails both the simple audit of a building to determine demand, and a selection of components to design a solar panel system to meet that demand. \\n\\nThis course is part of the Solar Power Installation Specialization. It provides a good overview of system components and functions, but uses some simplified assumptions. The other two topical courses in this specialization entail a more advanced coverage of site assessment, factors impacting efficiency, and the sizing, design, and integration of photovoltaic systems. The specialization concludes with a capstone project course of a full site evaluation, photovoltaic system design, and installation plan. The specialization is modeled after an on campus workshop that has been running on the ESF campus for many years, and can serve as an important step for those who are interested in working the solar power field for the certification process to become a Certified PV Installation Professional, or PV Technical Sales through the North American Board of Certified Energy Practitioners (NABCEP).","real-estate; mechanical-engineering; energy-policy; energy; numbers-spreadsheet; arrays; electrical-engineering; solar-energy; supply-chain; solar-systems","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,22.1]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","9v4oYEZXEee4pw7hxA2o1A"]
["1. Literacy","Renewable Energy","מבוא לאנרגיה מתחדשת -  Introduction to Renewable Energy","Tel Aviv University","NA",12.2,4.28,"https://www.coursera.org/learn/renewable-energy","Course language is Hebrew! English subtitles are planned but not yet available.\\n\\nThe Hebrew course description will be followed by an English one.\\n\\nהשימוש בדלק לסוגיו הוא התשתית שעליה מבוססים החיים המודרניים. כבר יותר ממאה שנה אנו משתמשים בדלקים מאובנים שנאצרו בבטן האדמה – נפט, גז טבעי ופחם – כדי להניע את גלגלי עולמנו: תעשייה מתקדמת, תחבורה מהירה, בתים נוחים ועוד. בקורס זה ננסה לבחון אלטרנטיבות אפשריות לדלקים המאובנים, הגורמים נזק לא מבוטל לסביבתנו ולבריאותנו. נתאר את המחקר המדעי האינטנסיבי המתקיים בתחום, ונציג מגוון טכנולוגיות מתקדמות להפקת אנרגיה נקייה ממקורות טבעיים ומתחדשים – כמו השמש, הרוח והמים – מקורות המצויים בשפע, אינם מזהמים, ואינם מתכלים.\\n\\nקורס המבוא לאנרגיה מתחדשת ייפתח בשאלות הבסיס של תחום האנרגיה: מהם צורכי האנרגיה של האנושות כיום, ואילו משאבים עומדים לרשותה? אילו תהליכים אנו מכירים  לאיסוף, המרה וניצול של מקורות אנרגיה? מהן הבעיות שנוצרות עקב השימוש הנוכחי במקורות אנרגיה מאובנים? ואיזה שינוי נדרש במדיניות האנרגיה ובמשק האנרגיה של החברה המודרנית?\\n\\nמכאן נעבור לתיאור הסוגים העיקריים של אנרגיה מתחדשת – מקורות אנרגיה טבעיים, זמינים ובלתי מתכלים, שאינם גורמים נזק סביבתי, ועשויים להחליף את הדלקים המאובנים. נדבר על אנרגיית השמש, אנרגיית הרוח, אנרגיית המים וביו-אנרגיה; ננתח את הטכנולוגיות הקיימות כבר היום לניצול המקורות הללו לצורכי האדם; נציג כלים בסיסיים לחישוב יעילות ההמרה של כל טכנולוגיה, וכמויות האנרגיה שניתן להפיק באמצעותה; ונביא דרכים להערכת הכדאיות הכלכלית של כל אחת מהשיטות.\\n\\nבמקביל, נדון בקשיים ובאתגרים הממתינים עדיין לפתרון, ונשאל מה יש לעשות כדי שהאנרגיות המתחדשות ייושמו בקנה מידה רחב – בתעשייה, בתחבורה, ובכל תחומי חיינו. נבחן מגוון טכנולוגיות מתקדמות להפקת אנרגיה ממקורות נקיים; נסביר מדוע הן עדיין אינן תופסות את מקומם של הדלקים המאובנים; ונציג כיווני מחקר עכשוויים ופיתוחים חדשניים שמשפרים ומייעלים לא הרף את השיטות הקיימות, במטרה להבטיח לכולנו עתיד בר-קיימא.\\n\\nהקורס כולל חישובים כמותיים ורצוי מאד רקע בפיסיקה ומתמטיקה ברמה של תיכון.\\n \\nעל מנת לצבור קרדיט אקדמי של אוניברסיטת תל אביב עבור הקורס, יש לעמוד בהצלחה בבחינה שמתקיימת באוניברסיטת תל אביב. \\nתוכלו למצוא מידע נוסף בקישור הבא - https://tauonline.tau.ac.il/registration. \\n\\nבנוסף, ניתן להתקבל לחלק ממסלולי הלימוד באוניברסיטת תל אביב באמצעות הקורסים המקוונים. קראו עוד כאן -https://go.tau.ac.il/b.a/mooc-acceptance. \\n\\nמורים המעוניינים ללמד את הקורסים בכיתותיהם מוזמנים לקרוא כאן על תוכנית תיכון אקדמי מקוון - https://tauonline.tau.ac.il/online-highschool\\n\\n\\n\\nCourse language is Hebrew! English subtitles are planned but not yet available.\\n\\nFuels are the foundations of modern living. For over a century we have been drawing fossil fuels – oil, coal and natural gas – from the depths of the earth, and using them to power our world: advanced industries, fast transportation, comfortable homes and more. In this course we will examine possible alternatives for these fuels - which have proved quite damaging to both our health and our environment. We will describe the intensive worldwide efforts in this field of research, and present their encouraging outcome: a range of innovative technologies for generating clean energy from natural, non-polluting and renewable sources – such as sunlight, wind and water.\\n\\nThe course will open with some fundamental questions on energy: What are the energy needs of the global population today, and what will they be tomorrow? What are the resources at our disposal? What are the known processes for harvesting, converting and utilizing resources of energy? What are the problems generated by the use of fossil fuels? In what ways must we change our energy policies and energy economy? And most important of all: What are the alternatives to fossil fuels, and can they supply humanity's extensive and constantly growing energy needs?\\n\\nSubsequent lessons will introduce the main types of safe, clean, natural and renewable energy sources available to us: solar energy, wind energy, water energy and bioenergy. We will speak of existing technologies that already harness these resources to the needs of humankind, and supply simple tools for computing conversion efficiencies, calculating the amounts of energy produced through the various methods, and assessing their economic feasibility.\\n\\nIn parallel, we will discuss the remaining problems and challenges, and ask what must be done to enable the large-scale use of renewable energy – in industry, in transportation, and in every other sphere of our lives. We will examine several advanced renewable energy technologies; explain why they have not yet taken the place of fossil fuels; and present cutting-edge innovations and promising research directions – in the ongoing global effort to ensure a sustainable future for us all.\\n\\nA background in physics and mathematics at high school level is highly recommended.","physics; biomass; renewable-energy; clean-technology; sustainability; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,16]","Arabic","Hebrew","physical-science-and-engineering","environmental-science-and-sustainability","GLXIL6hzEeWu-gqgbeGTiQ"]
["1. Literacy","Safety","Safety in the Utility Industry","The State University of New York","Beginner",6.2,4.71,"https://www.coursera.org/learn/safety-utility-industry","This course arms you with basic utility industry safety knowledge. You will be educated about personal protective equipment, fire safety, hazardous materials and their symbols. You will gain insights to recognize the importance of a safe work environment.  \\n\\nThis course is for individuals considering a career in the energy field (who have a high school diploma, at minimum, and basic knowledge of mathematics), and existing energy sector employees with less than three years of experience who have not completed similar training and would benefit from a course of foundational industry concepts.\\n\\nThe course is a combination of online lectures, videos, readings and discussions. \\n\\nThis is the third course in the Energy Production, Distribution & Safety specialization that explores various facets of the power sector, and features a culminating project involving creation of a roadmap to achieve a self-established, energy-related professional goal. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=2Yh9qIYiUDk.","safety-engineering; awareness; safety; hazard; hazard-analysis; utility; electrical-work; management; energy; integration-testing","Energy Production, Distribution & Safety",3.0,"https://www.coursera.org/specializations/energy-industry","This specialization provides introductory knowledge about the energy industry and associated career opportunities, whether you are interested in a utility technician or utility worker role, or emerging green energy solutions. It is intended for those considering a career in the field, and people already working in the industry who have less than three years of experience and have not completed similar training. Through four courses, learners receive an overview of electric power systems, natural gas, safety practices, and the energy industry as a whole. To learn more, please watch the overview video by copying and pasting the following link into your web browser: https://www.youtube.com/watch?time_continue=2&v=2Yh9qIYiUDk.","[2.4,8.1]","NA","English","physical-science-and-engineering","electrical-engineering","Kc4LTj4lEeaYxQofsrK9hw"]
["1. Literacy","Utilities","Electric Utilities Fundamentals and Future","University of Colorado System","Beginner",12.7,4.62,"https://www.coursera.org/learn/electric-utilities","THIS COURSE GIVES YOU THE INSIDE TRACK TO A COMPLICATED INDUSTRY. The approach of this course is truly unique in how it approaches and engages learners. It looks at the electric utility industry, which has remained critical to our quality of life, health and comfort from the eyes of numerous industry experts through on-location interviews, compelling visuals, and animation. You will benefit from having the inside track because you see some behind-the-scenes information not covered in news stories, social media or even if we are in the business ourselves. \\n\\nEACH WEEK YOU NOT ONLY LEARN WHAT IS CHANGING, BUT WHY. As this industry continues to unfold at an unprecedented pace, you will be armed with knowledge and insights to form informed opinions supporting decisions you will increasingly make for your energy-dependent homes and businesses.\\n\\nThis course kicks off with animated crash course on industry history, highlighting aspects of the structure, governance, and technology that remain today, despite the passage of time. Then, throughout the modules, you will build some basics about how electricity gets to you, who watches over decisions, including setting rates. This information establishes a knowledge foundation so that when we explore some of the most critical topics, like renewable energy, smart grid, battery storage, and you can think about it from a much more analytical and critical viewpoint. \\n\\nYOU WILL DEVELOP A FRAMEWORK FOR MAKING SENSE OF THIS INDUSTRY THAT WILL BENEFIT YOU BEYOND THIS COURSE. This industry can get pretty complicated, and this course will help you make more sense of it. Electric Utilities Fundamentals and Future is the course for you whether you’re just curious about the industry or an industry veteran looking to grow – or, thinking about joining the industry. (Hint: now is a good time. You'll learn why in this course.)  No prior education or experience required. You just need a healthy curiosity and an open mind to learn about an industry that I think a lot of us, including myself sometimes, take for granted.","utility; smart-grid; energy-efficiency; demand; generation; renewable-energy; energy-policy; energy; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.8,18.3]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","THN_21NHEeaE6xJd9n6tpQ"]
["2. Upskill","Global Energy","Electric Power Systems","The State University of New York","Beginner",7.0,4.62,"https://www.coursera.org/learn/electric-power-systems","This course familiarizes you with standards and policies of the electric utility industry, and provides you with basic vocabulary used in the business. It introduces the electric power system, from generation of the electricity all the way to the wall plug. You will learn about the segments of the system, and common components like power cables and transformers. \\n\\nThis course is for individuals considering a career in the energy field (who have a high school diploma, at minimum, and basic knowledge of mathematics), and existing energy sector employees with less than three years of experience who have not completed similar training and would benefit from a course of foundational industry concepts.\\n\\nThe course is a combination of online lectures, videos, readings and discussions. \\n\\nThis is the first course in the Energy Production, Distribution & Safety specialization that explores various facets of the power sector, and features a culminating project involving creation of a roadmap to achieve a self-established, energy-related professional goal. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=2Yh9qIYiUDk.","energy; power-supplies; electrical-engineering; sustainable-energy; smart-grid; supply-chain; solar-energy; renewable-energy; sustainability; generation","Energy Production, Distribution & Safety",1.0,"https://www.coursera.org/specializations/energy-industry","This specialization provides introductory knowledge about the energy industry and associated career opportunities, whether you are interested in a utility technician or utility worker role, or emerging green energy solutions. It is intended for those considering a career in the field, and people already working in the industry who have less than three years of experience and have not completed similar training. Through four courses, learners receive an overview of electric power systems, natural gas, safety practices, and the energy industry as a whole. To learn more, please watch the overview video by copying and pasting the following link into your web browser: https://www.youtube.com/watch?time_continue=2&v=2Yh9qIYiUDk.","[2.6,9]","NA","English","physical-science-and-engineering","electrical-engineering","mLL7Iz4kEea7eBINyCRovQ"]
["2. Upskill","Global Energy","Electric Industry Operations and Markets","Duke University","Beginner",16.7,4.79,"https://www.coursera.org/learn/electricity","This is a two week course. In the first week you will learn about the core activities that the Industry executes to bring electricity to customers. We will review what electricity is, how it is generated, how it is transmitted, how it comes into buildings, and how consumption of electricity instantly feeds back on the transmission and generation of electricity. You will learn to:\\nDefine what electricity is;\\nDescribe how electricity is generated, transmitted and distributed;\\nDescribe how electricity is generated, transmitted and distributed; and\\nSummarize how the consumption of electric energy instantly feeds back on the transmission and generation of electricity.\\n\\n\\nIn the second week, the course shifts to the markets that drive Electric Industry operations. You will learn about the various costs of the electric industry’s core activities, how electricity is priced, the various ways that electric markets are structured, how these market structures determine which power plants are dispatched to produce electricity when, and how recent changes in generator fuel prices, generation technology, market regulations, and environmental regulations are transforming both Electric Industry Markets and Operations. You will learn to:\\nDescribe the main cost components to the electric system;\\nCompare the costs of different types of power plants;\\nInterpret the retail pricing of electricity; \\nExplain the different types of electric markets and understand how they operate to dispatch electric supply to meet demand in real time; and\\nExplain why and how the electric industry is regulated.","electrical-engineering; generation; studentized-residual; learning; energy-markets; marketing; renewable-energy; market-economics; operations-management; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.1,26.3]","Spanish","English","physical-science-and-engineering","environmental-science-and-sustainability","9iW9MyKnEeapkBKJ0Y_FqQ"]
["2. Upskill","Global Energy","Fundamentals of Global Energy Business","University of Colorado System","Intermediate",23.5,4.55,"https://www.coursera.org/learn/energy-business","Learn about diverse and integrated markets for primary energy, and the essential considerations driving business leaders and policy makers in development of global energy resources.","supply-and-demand; strategic-analysis; business-strategy; market-economics; demand; business-analytics; economics; business-analysis; analysis; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.3,27.6]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","RKMa0PTnEeSR9SIAC7LYOA"]
["2. Upskill","Global Energy","Our Energy Future","University of California San Diego","Beginner",40.3,4.72,"https://www.coursera.org/learn/future-of-energy","This course is designed to introduce students to the issues of energy in the 21st century – including food and fuels – which are inseparably linked – and will discuss energy production and utilization from the biology, engineering, economics, climate science, and social science perspectives. \\n\\nThis course will cover the current production and utilization of energy, as well as the consequences of this use, examining finite fossil energy reserves, how food and energy are linked, impacts on the environment and climate, and the social and economic impacts of our present energy and food production and use. After the introductory lectures, we will examine the emerging field of sustainable energy, fuel and food production, emphasizing the importance of developing energy efficient and sustainable methods of production, and how these new technologies can contribute to replacing the diminishing supplies of fossil fuels, and reduce the consequences of carbon dioxide release into the environment. This course will also cover the importance of creating a sustainable energy future for all societies including those of the developing world.  Lectures will be prepared and delivered by leading UC San Diego and Scripps Institution of Oceanography faculty and industry professionals across these areas of expertise.","energy-policy; renewable-energy; sustainability; sustainable-energy; energy-systems; environmental-protection; sources; biofuel; energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[27.5,52.4]","Spanish","English","physical-science-and-engineering","environmental-science-and-sustainability","5epfT7cBEeScDCIAC9REiQ"]
["2. Upskill","Global Energy","Politics and Economics of International Energy","Sciences Po","Intermediate",31.6,4.73,"https://www.coursera.org/learn/global-energy","Energy issues have always been important in international relations, but in recent years may have become even more important than in the past due to the widespread awareness of existing limits to energy sources and negative climate impacts. The course discusses global trends in energy consumption and production, various available scenarios for potential developments in the coming decades, the availability of oil reserves and the evolution of the oil industry. It then discusses natural gas and highlights the differences between oil and gas. It will also discuss renewable energy sources, nuclear energy and EU energy policy.\\n\\nThe course aims at providing students whose main interest is in international relations a background on energy resources, technology and economic realities to allow them to correctly interpret the political impact of current developments. It also aims at providing students, who already have a technical background in energy science or engineering, with the broad global view of energy issues that will allow them to better understand the social, economic and political impact of their technical knowledge.\\n\\n\\nABOUT THE INSTRUCTOR :\\n\\nGiacomo Luciani\\n\\nScientific Advisor for the Master in International Energy at the Paris School of International Affairs (PSIA) Sciences Po, Giacomo Luciani is also Adjunct Professor at the Graduate Institute of International and Development Studies, Geneva and Director of the Executive Master in International Oil and Gas Leadership. For the period 2010-13 he was appointed Princeton University Global Scholar, attached to the Woodrow Wilson School and the Department of Near Eastern Studies. His research focuses on the political economy of the Middle East and North Africa and on global energy issues.\\n\\nRECOMMENDED BACKGROUND :\\n\\nThe course requires no special scientific, mathematical or economic background; all key concepts are clearly and elementarily explained. It is expected that it will be of interest to undergraduate and graduate students in schools where an equivalent course is not offered (this being the case for the vast majority of schools).\\n\\n\\nUSPC\\nSorbonne Paris Cité\\nSupported by Université Sorbonne Paris Cité\\n\\n\\nIDEX\\nInvestissements d'Avenir\\nFunded by Investissements d'Avenir - 'ANR.\\n\\nInfo : \\nCourse content : Licence Creative Commons BY NC SA","energy-markets; oil; market-economics; economics; global; international-relations; energy-policy; renewable-energy; energy-economics; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[19.9,41.6]","NA","English","social-sciences","economics","YjCOKcQTEeWI6BLH_IXMZw"]
["2. Upskill","Global Energy","Energy, Environment, and Everyday Life","University of Illinois at Urbana-Champaign","Beginner",59.5,4.81,"https://www.coursera.org/learn/energy-environment-life","For a sample of what this course will include, see the video \"Energy, Environment, and Everyday Life MOOC with University of Illinois Professor David Ruzic\" - http://go.citl.illinois.edu/Energy-MOOC\\n\\nThis course teaches you everything you need to know about energy, the environment, and at least a number of things in everyday life. It starts by talking about energy itself and where it comes from. This includes how much we have, who has it, who uses it, and what that all means. The video clips are produced in a fast-paced multimedia format during which Professor Ruzic throws in fun and demonstrations. There are multiple-choice questions to check your understanding and some more in-depth exercises to guide you deeper into the subject.\\n\\nAfter explaining the main things we use energy for – our cars and electronics! – fossil fuels are examined in detail. Want to really learn about fracking or pipelines? Watch these segments. The environmental effects of fossil fuels are taught as well. Global warming, acid rain, and geoengineering all are in this part of the course. Part of their solution is too. Renewables follow, with clips on solar, wind, hydro, geothermal, biofuels, etc. You’ll even see Professor Ruzic in a corn field and in the middle of a stream showing how you could dam it up.\\n\\nFinally, nuclear power is taught in detail – how it really works and what happens when it doesn’t work, as in Three Mile Island, Chernobyl, and Fukushima, as well as how we are making it today, which is shown here without political preconceptions. In this course, economics takes center stage. People will ultimately do whatever costs the least, so energy policy is most effective when it is targeted at the user’s wallet.\\n\\nThroughout the course there are 24 segments on “How Things Work.\" These guides to everyday life are tremendously varied, covering everything from fireworks to making beer to what happens backstage at a theater. The course is designed to be enjoyable as well as informative. We hope you will take a look!","renewable-energy; hydraulics; greenhouse-gas; hydropower; solar-energy; oil; geothermal-energy; wind-power; energy; natural-gas","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[35,84.3]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","kPpN_8YTEeaiOxJO_iQa6A"]
["2. Upskill","Global Energy","Global Energy and Climate Policy","University of London","Intermediate",12.9,4.61,"https://www.coursera.org/learn/globalenergyandclimatepolicy","The Global Energy and Climate Policy course offers an introduction to the theoretical and practical understanding of how energy and climate change policies are designed, shaped, advocated and implemented. As energy markets go truly global, domestic energy policies are becoming more and more entangled with wider issues of international governance. Concurrently, the urgent need to mitigate and adapt to climate change and transition to a low-carbon future is adding a further layer of complexity. \\n\\nThe course is aimed broadly at people interested in learning more about interconnected issues in energy and climate policy globally. It assumes a level of interest but no necessary previous knowledge. However, the course also offers sufficient up to date research and new critical perspectives to be of interest to people with expertise in or academic familiarity with the topic as well. \\n\\nThe main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss energy and climate policy, and lay the groundwork for greater engagement in the future – either through academic study, in the public, private or not-for-profit sectors.","security; energy-policy; climate-change; global; renewable-energy; policy-analysis; economy; climate-policy; energy; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.7,15.8]","Arabic","English","social-sciences","governance-and-society","tlTh8kzVEeagxwr1Kg22cw"]
["2. Upskill","Global Energy","From the Big Bang to Dark Energy","The University of Tokyo","Beginner",25.2,4.78,"https://www.coursera.org/learn/big-bang","We have learned a lot recently about how the Universe evolved in 13.7 billion years since the Big Bang. More than 80% of matter in the Universe is mysterious Dark Matter, which made stars and galaxies to form. The newly discovered Higgs-boson became frozen into the Universe a trillionth of a second after the Big Bang and brought order to the Universe. Yet we still do not know how ordinary matter (atoms) survived against total annihilation by Anti-Matter. The expansion of the Universe started acceleration about 7 billion years ago and the Universe is being ripped apart. The culprit is Dark Energy, a mysterious energy multiplying in vacuum. I will present evidence behind these startling discoveries and discuss what we may learn in the near future.\\n\\nThis course is offered in English.","quantum-mechanics; solar-systems; verse-protocol; thought; learning; physics; astronomy; theory-of-relativity; energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,36.3]","Russian; German; Romanian","English","physical-science-and-engineering","physics-and-astronomy","bV6GUWEbEeSceSIACy-PDA"]
["2. Upskill","Renewable Energy","Industrial Biotechnology","University of Manchester","Beginner",16.6,4.65,"https://www.coursera.org/learn/industrial-biotech","Fossil fuels have been the primary energy source for society since the Industrial Revolution. They provide the raw material for the manufacture of many everyday products that we take for granted, including pharmaceuticals, food and drink, materials, plastics and personal care.  \\nAs the 21st century progresses we need solutions for the manufacture of chemicals that are smarter, more predictable and more sustainable.  \\n\\nIndustrial biotechnology is changing how we manufacture chemicals and materials, as well as providing us with a source of renewable energy.   It is at the core of sustainable manufacturing processes and an attractive alternative to traditional manufacturing technologies to commercially advance and transform priority industrial sectors yielding more and more viable solutions for our environment in the form of new chemicals, new materials and bioenergy.  \\n\\nThis course will cover the key enabling technologies that underpin biotechnology research including enzyme discovery and engineering, systems and synthetic biology and biochemical and process engineering.  Much of this material will be delivered through lectures to ensure that you have a solid foundation in these key areas.   We will also consider the wider issues involved in sustainable manufacturing including responsible research innovation and bioethics. \\n\\nIn the second part of the course we will look at how these technologies translate into real world applications which benefit society and impact our everyday lives.  This will include input from our industry stakeholders and collaborators working in the pharmaceutical, chemicals and biofuels industries.\\n\\nBy the end of this course you will be able to: \\n\\n1.\\tUnderstand enzymatic function and catalysis.\\n2.\\tExplain the technologies and methodologies underpinning systems and synthetic biology.\\n3.\\tExplain the diversity of synthetic biology application and discuss the different ethical and regulatory/governance challenges involved in this research.\\n4.\\tUnderstand the principles and role of bioprocessing and biochemical engineering in industrial biotechnology.\\n5.\\tHave an informed discussion of the key enabling technologies underpinning research in industrial biotechnology \\n6.\\tGive examples of industrial biotechnology products and processes and their application in healthcare, agriculture, fine chemicals, energy and the environment.","synthetic-biology; biopharmaceutical; biology; biotechnology; enzyme; chemistry; drugs; molecular-biology; drug-development; drug","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.5,20.9]","NA","English","life-sciences","basic-science","Ffu_H13iEeWozxKwtAxdTQ"]
["2. Upskill","Renewable Energy","Wind Energy","Technical University of Denmark (DTU)","Intermediate",21.1,4.67,"https://www.coursera.org/learn/wind-energy","How tall is a modern wind turbine and how can it possibly generate power from the wind? This course gives an overview of key aspects in wind energy engineering. Whether you are looking for general insight in this green technology or your ambition is to pursue a career in wind energy engineering, 'Wind Energy' is an excellent starting point. \\n\\nExperts located in the wind pioneering country of Denmark will take you on a tour through the most fundamental disciplines of wind energy research such as wind measurements and resource assessment, aerodynamics, wind turbine technology, structural mechanics, materials, financial and electrical systems. \\n\\nYou will gain a rational understanding of wind energy engineering and, through hands-on exercises, you will learn to perform wind energy calculations based on simple models. Working with the different course disciplines will give you a taste of what wind energy engineering is all about. This allows you to identify the most interesting or relevant aspects of wind energy engineering to be pursued in your future studies or in your professional career.\\n\\nView our video: https://youtu.be/he4UWTGHxrY","energy; wind-farm-design; farm; turbine-us-government-project; materials; wind-energy-engineering; energy-engineering; wind-energy; economics; wind-power","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,31.6]","Arabic","English","physical-science-and-engineering","mechanical-engineering","7O843CBJEeWcQw5YiljpGw"]
["2. Upskill","Renewable Energy","Water Resources Management and Policy","University of Geneva","Beginner",13.1,4.52,"https://www.coursera.org/learn/water-management","Water management today is faced with new challenges such as climate change or the effects of human activity. Public and private stakeholders who are active in this field must develop new ways to better manage the water cycle \"as a whole\".\\n\\nThe objective of this MOOC is to develop an understanding of the problems related to water management. Firstly, this course will define a resource and, more specifically, the resource of water. It will look at how water is used and the activities associated with it as well as any potential conflicts. The course will look at water management in detail through the analysis of the different types of rights and obligations associated with, for example, the development of a multi-sectorial regulation system or a watershed management approach.\\n\\nBy the end of this course, our aim is to enable you to:\\n1) Identify the main issues and strategies linked to water resource management\\n2) Acquire the key reading material needed to understand the many variables (environmental, institutional and political) which affect water and which, in terms of management, may require adjustment.\\n\\nThis course was developed by the Geneva Water Hub. Alongside researchers from the University of Geneva from a range of faculties, researchers from other universities and research centres will be involved in this course. Practitioners who deal daily with the political dimension of water management will also input into the course.\\n\\nThis MOOC is designed for all those interested in the water sector. Prior training is not necessary to follow our program. The findings presented in this course can be easily reapplied to different contexts and to different scales of analysis.\\n\\nThis MOOC is supported by the Geneva Water Hub and the University of Geneva along with the MOOC in « Ecosystem Services: a Method for Sustainable Development » (www.coursera.org/learn/ecosystem-services) and the one in \"International Water Law\" (www.coursera.org/learn/droit-eau). This course is funded by the Global Programme Water Initiatives of the Swiss Agency for Development and Cooperation (SDC).\\n\\nThis course is also available in French : www.coursera.org/learn/gestion-eau","resource; policy-analysis; international-law; resource-management; law; environmental-protection; international-relations; water-resource-management; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.8,17.3]","NA","English","social-sciences","governance-and-society","_xNLlFY4EeWKXg4Y7_tPaw"]
["2. Upskill","Renewable Energy","Organic Solar Cells - Theory and Practice","Technical University of Denmark (DTU)","Beginner",30.0,4.56,"https://www.coursera.org/learn/solar-cell","The goal of the course is to give students awareness of the largest alternative form of energy and how organic / polymer solar cells can harvest this energy. The course provides an insight into the theory behind organic solar cells and describes the three main research areas within the field i.e. materials, stability and processing.\\n\\nNOTE: This course is a specialized course on organic solar cells. If you are looking for a more general solar cell course, we strongly recommend Introduction to solar cells (https://www.coursera.org/learn/solar-cells).","manufacturing-process-management; manufacturing-processes; materials; solar-energy; solar-technology; process; chemistry; learning; energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.1,42.9]","NA","English","physical-science-and-engineering","chemistry","Y1sD7WReEeSPwSIACy-XPg"]
["2. Upskill","Renewable Energy","Photovoltaic solar energy","École Polytechnique","Beginner",19.3,4.25,"https://www.coursera.org/learn/photovoltaic-solar-energy","The course is an introduction to the photovoltaic (PV) applications in the general mix energetic context dominated by climate warming mitigation.\\n\\nThe various uses of solar energy are firstly presented before a short description of the principle of the direct solar photon conversion into electricity (PV).\\n\\nThe various PV technologies are reviewed in the current context dominated by crystalline silicon cells. The perspectives of the various technologies are then analysed in terms of R&D investments.\\n\\nFrom a more scientific point of view the basis of the solar cell operation is presented from the solar spectrum characteristics. The fundamentals of PV conversion are summarized. In particular the various sources of the conversion efficiency limitations are reviewed. \\n\\nThe solar PV systems, from cells to grids, are also addressed, with a particular emphasis on the challenges of grid-integration of PV and the development of storage technologies.\\n\\nThe environmental and social impacts of PV are compared to the competing energy sources. Generally PV is at advantage as referred to other fossil or renewable sources.\\n\\nFinally the fast evolution of economics and financing of PV is presented together with the current key players, mostly Asian companies.","energy; silicon; renewable-energy; learning; pricing; energy-consumption; solar-energy; energy-pricing; photovoltaic-energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.9,28.4]","Persian","English","physical-science-and-engineering","electrical-engineering","fLqpiB9NEeestw4H9P_FNg"]
["2. Upskill","Renewable Energy","Renewable Energy and Green Building Entrepreneurship","Duke University","Beginner",12.2,4.64,"https://www.coursera.org/learn/renewable-energy-entrepreneurship","Welcome to the course where you learn to launch a new business in the energy, finance, real estate, design, engineering, or environmental sectors, while also helping you create positive environmental and human health impacts around the world.\\n\\nWe will integrate tools, trends, and tips from the field of entrepreneurship as a career path for making a difference and generating wealth in the renewable energy and green building sectors.\\n\\nThis is not a course about theory. Instead, we focus on real world application, step-by-step advice, and case studies.\\n\\nAfter completing this course, students will be able to:\\n\\n- Define key business opportunities, challenges, and potential solutions in the renewable energy and green building sectors.\\n- Analyze a successful business in renewable energy or green building.\\n- Identify 2 to 3 problems you might solve with either renewable energy or green building products or services. \\n- Plan for engaging with investors who might finance a new business.\\n- Take real world first steps towards launching a new business or corporate initiative, by applying the 1-page business idea summary template and the Business Model Canvas to generating and refining your own new business ideas.","business-model; renewable-energy; green-building; finance; modeling; entrepreneurship; startup-company; business-modeling; team-building; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.9,17.3]","NA","English","business","entrepreneurship","JKMtWwjGEeeU8RLd2iRGZg"]
["2. Upskill","Safety","Introduction to Thermodynamics: Transferring Energy from Here to There","University of Michigan","Beginner",23.3,4.68,"https://www.coursera.org/learn/thermodynamics-intro","COURSE DESCRIPTION\\nThis course provides an introduction to the most powerful engineering principles you will ever learn - Thermodynamics: the science of transferring energy from one place or form to another place or form. We will introduce the tools you need to analyze energy systems from solar panels, to engines, to insulated coffee mugs. More specifically, we will cover the topics of mass and energy conservation principles; first law analysis of control mass and control volume systems; properties and behavior of pure substances; and applications to thermodynamic systems operating at steady state conditions.\\n\\nCOURSE FORMAT\\nThe class consists of lecture videos, which average 8 to 12 minutes in length. The videos include integrated In-Video Quiz questions. There are also quizzes at the end of each section, which include problems to practice your analytical skills that are not part of video lectures. There are no exams.\\n\\nGRADING POLICY\\nEach question is worth 1 point. A correct answer is worth +1 point. An incorrect answer is worth 0 points. There is no partial credit. You can attempt each quiz up to three times every 8 hours, with an unlimited number of total attempts. The number of questions that need to be answered correctly to pass are displayed at the beginning of each quiz. Following the Mastery Learning model, students must pass all 8 practice quizzes with a score of 80% or higher in order to complete the course.\\n\\nESTIMATED WORKLOAD\\nIf you follow the suggested deadlines, lectures and quizzes will each take approximately ~3 hours per week each, for a total of ~6 hours per week. \\n\\nTARGET AUDIENCE\\nBasic undergraduate engineering or science student.\\n\\nFREQUENTLY ASKED QUESTIONS\\n- What are the prerequisites for taking this course? \\n     An introductory background (high school or first year college level) in chemistry, physics, and calculus will help you be successful in this class.\\n-What will this class prepare me for in the academic world? \\n     Thermodynamics is a prerequisite for many follow-on courses, like heat transfer, internal combustion engines, propulsion, and gas dynamics, to name a few.\\n-What will this class prepare me for in the real world? \\n     Energy is one of the top challenges we face as a global society. Energy demands are deeply tied to the other major challenges of clean water, health, food resources, and poverty. Understanding how energy systems work is key to understanding how to meet all these needs around the world. Because energy demands are only increasing, this course also provides the foundation for many rewarding professional careers.","mechanical-engineering; energy-systems; energy-conservation; geothermal-energy; analysis; energy-analysis; law; integration-testing; dotproperties; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.3,28.7]","NA","English","physical-science-and-engineering","mechanical-engineering","zFT002OEEeS5wCIAC4UKdg"]
["2. Upskill","Sustainability","Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food","Universitat Autònoma de Barcelona","Intermediate",31.3,4.64,"https://www.coursera.org/learn/sustainability-social-ecological-systems","In this course you will become familiar with the ideas of the water-energy-food nexus and transdisciplinary thinking.  \\n\\nYou will learn to see your community or country as a complex social-ecological system and to describe its water, energy and food metabolism in the form of a pattern, as well as to map the categories of social actors.  \\nWe will provide you with the tools to measure the nexus elements and to analyze them in a coherent way across scales and dimensions of analysis. In this way, your quantitative analysis will become useful for informed decision-making. You will be able to detect and quantify dependence on non-renewable resources and externalization of environmental problems to other societies and ecosystems (a popular ‘solution’ in the western world).  Practical case studies, from both developed and developing countries, will help you evaluate the state-of-play of a given community or country and to evaluate possible solutions. Last but not least, you will learn to see pressing social-ecological issues, such as energy poverty, water scarcity and inequity, from a radically different perspective, and to question everything you’ve been told so far.\\n\\nACKNOWLEDGEMENT\\nPart of the results and case studies presented have been developed within two projects: MAGIC and PARTICIPIA. However, the course does not reflect the views of the funding institutions or of the project partners as a whole, and the case studies were presented purely with an educational and illustrative purpose.","methodology; modeling; multidisciplinary-approach; ecosystem; process; analysis; scaling; metabolism; sustainability; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.7,40.2]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","Frsakpd0Eea2shJAHKQhjA"]
["2. Upskill","Sustainability","Climate Change and Water in Mountains: A Global Concern","University of Geneva","Advanced",14.0,4.47,"https://www.coursera.org/learn/climate-changes-mountains-water","What is climate change ? How are mountain regions affected by the evolution of water resources and their uses ? What kind of risks need to be considered ? \\n\\nMountains are recognized as particularly sensitive physical environments where intense and rapid changes have in the past, and may increasingly in the future, place pressure on their resource base. \\n\\nIn this context, a team of roughly 100 experts worked from 2008 to 2013 for the European ACQWA project (www.acqwa.ch) which was coordinated by the University of Geneva. The primary objectives of the project were to assess the impacts of a changing climate on the quantity and quality of water originating in mountain regions, particularly where snow- and ice melt represent a large, sometimes the largest, streamflow component. A further objective of the project was to determine the potential disruptions to water-dependent economic activities related to the climate impacts on hydrological systems, and to propose a portfolio of possible adaptation strategies.\\n\\nThis particular MOOC is inspired by the ACQWA Project and offers a better understanding of climate change, its impacts on the quality and quantity of water in mountain regions and the risks related to changing water resources. From an interdisciplinary perspective, the participation of twenty-five instructors from five different countries (Switzerland, England, South Korea, India and Nepal) and fourteen institutions (UNIGE, RTS, UNIFR, UZH, ETHZ, Meteodat GmbH, WGMS, Imperial College London, Agroscope, République et Canton de Genève, Yonsei University, IHCAP, ICIMOD, SDC, FOEN) highlights the diversity of both theoretical and practical viewpoints related to these issues.\\n\\nBy the end of this course, you will be able :\\n\\n- to define the general concept of climate change in mountain regions\\n- to understand the concepts associated with climate change such as adaptation and water governance strategies\\n- to consider the impacts of climate change on water resources in mountain regions\\n- to identify the impacts of climate change on hydropower, agriculture, aquatic ecosystems and health \\n- to enumerate risks that can occur in mountain areas and lead to disruptions in water availability and use.\\n\\nYour acquired knowledge will be evaluated through multiple-choice quizzes at the end of each unit of the course.\\n\\nThis MOOC on “Climate Change and Water in Mountain Regions : A Global Concern” was initiated and financed by the University of Geneva, through its Institute for Environmental Sciences. \\n\\nWe look forward to you joining us !","learning; risk; risk-management; economics; ecosystem; management; climate-change; resource; flow-network; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.5,19.6]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","wF-tFF1yEeesyA7p9Q1Ckg"]
["2. Upskill","Sustainability","Introduction to Sustainability","University of Illinois at Urbana-Champaign","Advanced",41.1,4.74,"https://www.coursera.org/learn/sustainability","This course introduces the academic approach of Sustainability and explores how today’s human societies can endure in the face of global change, ecosystem degradation and resource limitations. The course focuses on key knowledge areas of sustainability theory and practice, including population, ecosystems, global change, energy, agriculture, water, environmental economics and policy, ethics, and cultural history.\\n\\nThis subject is of vital importance, seeking as it does to uncover the principles of the long-term welfare of all the peoples of the planet. As sustainability is a cross-disciplinary field of study, this foundation requires intellectual breadth: as I describe it in the class text, understanding our motivations requires the humanities, measuring the challenges of sustainability requires knowledge of the sciences (both natural and social), and building solutions requires technical insight into systems (such as provided by engineering, planning, and management).","natural-resources; resource; energy; population; sustainability; sustainable-energy; climate-change; thought; environmental-policy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[24.6,67.6]","Vietnamese; Spanish; Chinese; Tamil; Portuguese","English","physical-science-and-engineering","environmental-science-and-sustainability","a0fzUULWEeWZtA4u62x6lQ"]
["2. Upskill","Sustainability","Act on Climate: Steps to Individual, Community, and Political Action","University of Michigan","Intermediate",34.8,4.73,"https://www.coursera.org/learn/act-on-climate","Are you concerned about climate change? Would you like to learn how to address and respond to this challenge? If so, this course is for you.  \\n\\nAct on Climate: Steps to Individual, Community, and Political Action is intended to help learners understand, address and respond to climate change as individuals and in partnership with their communities and political leaders. The course focuses on how to translate learning into action on climate change in the areas of food, energy, transportation and the built environment (cities). This course was co-developed and taught by Michaela Zint, Professor of Environmental Education and Communication, and University of Michigan Students. A range of academic climate change experts and professional leaders are featured.\\n\\nAs a result of completing this course, you will be able to:\\n\\n1) Identify individual, community, and political actions you can engage in to effectively address and respond to climate change.\\n\\n2) Describe how insights from the social sciences can be employed to create change at the individual, community, and political levels.\\n\\n3) Feel empowered to continue to influence how you, your community, and political leaders address and respond to climate change.\\n\\nUse #UMichActonClimate on social media to share what you're doing and connect with other learners.","plan; greenhouse-gas; planning; urban-planning; learning; climate-change; fuel-efficiency; environmental-education; energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.4,50.2]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","R-SjCeF4EeavSQqUZOzWHA"]
["2. Upskill","Sustainability","Municipal Solid Waste Management in Developing Countries","École Polytechnique Fédérale de Lausanne","Advanced",16.0,4.83,"https://www.coursera.org/learn/solid-waste-management","Have you come across large piles of garbage in neighbourhoods and streets and smelly waste disposal sites polluting the environment of low- and middle-income countries? Do you want to know what kind of sustainable solutions are appropriate to better manage waste and enhance recycling and recovery? If yes, this course is for you! \\n\\nThis course provides you with an overview of the municipal solid waste management situation in low- and middle-income countries. It covers key elements of the waste management system, such as its technical, environmental, social, financial and institutional aspects. Besides understanding the challenges, you will be introduced to appropriate and already applied solutions through selected case studies.","energy; solid-waste-management; economy; composting; compost; circular-economy; environmental-protection; learning; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.6,17.9]","French; Spanish; Portuguese","English","physical-science-and-engineering","environmental-science-and-sustainability","gpAI9GK4EeWFkQ7sUCFGVQ"]
["2. Upskill","Sustainability","Global Environmental Management","Technical University of Denmark (DTU)","Intermediate",15.6,4.65,"https://www.coursera.org/learn/global-environmental-management","Learn about the best environmental technologies for a sustainable development and how they are managed in various settings around the world. This course gives you an opportunity to learn about global trends that influence our environment and the living conditions and how different management systems and approaches that are used around the world to manage the environment. This includes current environmental technologies built for the environment and technologies for sustainable soil management, groundwater protection methods and integrated Water resources management.","water-resource-development; environmental-management; natural-resources; urban-planning; resource; green-technology; planning; environmental-protection; sustainability; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,20.2]","NA","English","physical-science-and-engineering","environmental-science-and-sustainability","b-UZI43PEeWTzg6WBWinhQ"]

{"sheet":"6. HL","index":12,"n_rows":371,"n_cols":21,"rows_kept":371,"cut":false,"hidden":false,"merged":[]}
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["Health & Life Sciences","Back to summary page","This sheet collates the top recommended courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID","Specialization ID"]
["1. Literacy","Animal Health and Veterinary Medicine","The Truth About Cats and Dogs","The University of Edinburgh","Beginner",9.5,4.7,"https://www.coursera.org/learn/cats-and-dogs","What is your cat revealing to you when she purrs? What is your dog expressing when he yawns or wags his tail? Understanding your cat and dog’s behaviour and the way they communicate with you, will enable you to better understand their needs and strengthen your relationship with them.\\n\\nThis MOOC is divided into five topics, the appliance of science; behaviour and body language, senses and perception; challenges for the human-animal relationship, including pet problem behaviour; and how to improve the quality of life for cats and dogs in our care.\\n\\nAt the start of the course we ask you to consider what you feel is important to your cat/dog and what your cat/dog means to you? We explore the world of cats and dogs and how our relationships with them vary around the world and have changed over time. We ask if we can really know what our animals are thinking or trying to communicate through their facial expressions and behaviours.  \\n\\nFrom our beloved pets to street dogs, shelter dogs/cats and welfare challenges, we explore the world from their perspective and examine how their genetic make-up may influence their behavioural responses and choices. We dispel common behavioural myths by looking through a scientific lens, asking questions about the function and development of their behaviour.. We explore how their senses help them to interact with their world and how they communicate with each other and us!\\n\\nFinally, we ask whether we impose unrealistic expectations on our cats and dogs and how this affects their ability to live alongside us. We ask, what can we do to be more responsible pet owners and to ensure the welfare of all cats and dogs in society? This MOOC explores different scientifically validated methods that can help you to better understand your pet, to enrich their lives and help you to be a more educated and confident pet owner.\\n\\nWe hope you enjoy the course!","learning; animal behavior; dog; animal; well; behavior; cat behavior; dog behavior; Behavior Problems Diagnosis and Treatment; training","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43962.0,"Japanese; Spanish; Chinese; Greek","English","life-sciences","animal-health","PKJBXN8SEeWxQg6ioCYbHw","[NULL]"]
["1. Literacy","Animal Health and Veterinary Medicine","Dog Emotion and Cognition","Duke University","Beginner",11.2,4.55,"https://www.coursera.org/learn/dog-emotion-and-cognition","Dog Emotion and Cognition will introduce you to the exciting new study of dog psychology, what the latest discoveries tell us about how dogs think and feel about us, and how we can use this new knowledge to further strengthen our relationship with our best friends.","evolution; cognitive science; dog behavior; animal behavior; learning; animal; behavior; well; dog; cognition","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44024.0,"Croatian; Spanish","English","life-sciences","animal-health","-Eu38u08EeSKeyIACwQXPg","[NULL]"]
["1. Literacy","Animal Health and Veterinary Medicine","Chicken Behaviour and Welfare","The University of Edinburgh","Beginner",9.1,4.7,"https://www.coursera.org/learn/chickens","This course explains the general principles of chicken behaviour and welfare, and the behavioural and physiological indicators that can be used to assess welfare in chickens kept in hobby flocks through to commercial farms. The focus is primarily on laying hens and meat chickens (broilers) although many of the principles are relevant to other types of poultry. The course is likely to be of interest to people who own chickens as pets or keep a small hobby flock, commercial egg and chicken meat producers, veterinarians and vet nurses. \\n\\nLearning Objectives: at the end of this course, you will be able to -\\n- Describe avian sensory perception and motivation\\n- Explain the main behaviour patterns of poultry\\n- Define welfare and explain the bases of welfare standards\\n- Assess chicken welfare, using behavioural and physiological means\\n- Understand common welfare problems of chickens\\n\\nThis course is taught by staff from Scotland's Rural College (SRUC), University of Glasgow, and St David's Poultry Team.\\n\\nYou can follow us on Twitter!  #chickenmooc\\n\\n© University of Edinburgh and Scotland's Rural College 2016 CC BY","animal; poultry; chicken; learning; behavior; chicken behavior; housing; animal behavior; farm; veterinary","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43961.0,"French","English","life-sciences","animal-health","ggSJwHE8EeWxvQr3acyajw","[NULL]"]
["1. Literacy","Animal Health and Veterinary Medicine","EDIVET: Do you have what it takes to be a veterinarian?","The University of Edinburgh","Beginner",10.5,4.72,"https://www.coursera.org/learn/becoming-a-veterinarian","This course is for anyone interested in learning more about Veterinary Medicine, giving a “taster” of courses covered in the first year of a veterinary degree and an idea of what it is like to study Veterinary Medicine.","history; histology; animal anatomy; behavior; veterinary; anatomy; animal behavior; animal; veterinary medicine; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43994.0,"None","English","life-sciences","animal-health","ClCx1sbdEeShXyIAC5MC2w","[NULL]"]
["1. Literacy","Animal Health and Veterinary Medicine","Dairy Production and Management","The Pennsylvania State University","Beginner",18.3,4.84,"https://www.coursera.org/learn/dairy-production","With the world's first MOOOOO-C, you will gain a broad and comprehensive understanding of all aspects of dairy management such as genetics, nutrition, reproduction, animal health, farm economics, and sustainability of dairy production systems. There's something here for everyone whether you are just looking for the basics or have years of experience in the dairy industry.\\n\\nThis is an eight-week course. Each week consists of four to nine video lectures, additional reading materials, and a multiple-choice questions quiz. Estimated study time is between three and five hours per week. Learners have the option to purchase a Course Certificate for 49.00 USD. The certificate can be purchased at any time, but you must verify your identify before taking the course quizzes in order to be eligible. For those who cannot afford the certificate fee, financial aid is available through Coursera.\\n\\nWhy is producing milk efficiently and sustainably so important? \\n\\nMilk provides humans with over 16 essential nutrients, such as: Energy, Protein and Essential Amino acids, Vitamin A, Vitamin D, several B vitamins, including B12, Pantothenic and Folic acids, and essential minerals such as Calcium, Magnesium, Phosphorus, Potassium, Zinc, as well as other minerals. Did you know that one glass of milk provides a 5-year old child with 21% of his/her daily protein requirements and 8% of their energy needs?\\n\\nMost milk in the world, about 85%, is produced from cattle. However, water buffaloes, goats, sheep, and camel are also dairy animals. The United States, India, the European Union, Brazil, and New Zealand are among the largest dairy producers in the world. Yet among these dairy-producing countries there are varied methods to generate milk with highly variable productivity and efficiency. Dairy production is vital for the survival of billions of people. Globally, around 150 million small-scale dairy households, equivalent to 750 million people, are engaged in milk production. The number and size of dairy farms varies among countries, but in India alone, there are estimated 78 million dairy farms! In the United States, one of the leading milk-producing countries in the world, total milk production has been steadily increasing in the last decades, reaching over 205 billion pounds (93 billion kilograms) in 2014. This was accompanied by a steady increase in average milk yield per cow, reaching 22,260 lb (over 10,100 kg) per lactation in 2014. How has this efficiency been achieved? What methods are necessary to ensure production of high quality milk? How do we balance milk production efficiency with animal health and environmental protection? This course will provide the student with information to better understand dairy production systems and their role in feeding the world population.\\n\\nIn this MOOOOO-C, you will learn about the dairy enterprise from internationally recognized dairy science professors who have delivered highly regarded dairy education programs within the United States and internationally.\\n\\nCourse lectures are translated into Portuguese and Chinese; PDF files of these translations can be found under each course week. The Dairy MOOC team thanks Dr. Antonio Branco (Universidade Estadual de Maringá, Brazil) and Ms. Yuanyuan Zhang (Pennsylvania State University) for translating the lecture materials.\\n\\nCourse Sponsors\\n\\nThis course was supported by the generous contributions of Innovation Center for US Dairy at Silver Level and Pancosma North America, RP Nutrients, Inc. and Arm and Hammer, which provided funding support at a Bronze Level.  The Pennsylvania State University has final responsibility for the academic content of this course.","nutrition; management; reproduction; Economics; genetics; farm; animal; animal nutrition; feed uri scheme; disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44127.0,"None","English","life-sciences","animal-health","gjNiv8lqEeWuexJbRpuvbQ","[NULL]"]
["1. Literacy","Basic Science","Genetics and Society: A Course for Educators","American Museum of Natural History","[NULL]",8.9,4.65,"https://www.coursera.org/learn/genetics-society","How have advances in genetics affected society? What do we need to know to make ethical decisions about genetic technologies? This course includes the study of cloning, genetic enhancement, and ownership of genetic information. Course participants will acquire the tools to explore the ethics of modern genetics and learn how to integrate these issues into their classrooms.","genomics; biology; genetically modified food; comparative genomics; biochemistry; medicine; cell biology; genetics; bioethics; DNA","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43901.0,"None","English","life-sciences","basic-science","3r_VmUhHEeWk9g4dP2hYVQ","[NULL]"]
["1. Literacy","Basic Science","Circadian clocks: how rhythms structure life","Ludwig-Maximilians-Universität München (LMU)","Intermediate",17.2,4.81,"https://www.coursera.org/learn/circadian-clocks","This course is geared towards starting undergraduate students. A solid background in biology will be helpful but not absolutely essential. The material will be of interest to those who are pursuing a career in any of the life sciences as well as anyone who has run up against their biological clock.","plant nutrition; physiology; molecular biology; chronobiology; nutrition; epigenetics; health; biology; sleep; plant physiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44096.0,"Romanian","English","life-sciences","basic-science","DLOMj4cTEeWgrxLS5SGTUQ","[NULL]"]
["1. Literacy","Basic Science","Understanding Cancer Metastasis","Johns Hopkins University","Beginner",11.6,4.8,"https://www.coursera.org/learn/cancer-metastasis","Over 500,000 people in the United States and over 8 million people worldwide are dying from cancer every year. As people live longer, the incidence of cancer is rising worldwide, and the disease is expected to strike over 20 million people annually by 2030. \\nEveryone has been, or will be touched by cancer in some way during their  lifetime. Thanks to years of dedication and commitment to research we’ve made enormous advances in the prevention and treatment of cancer, But there is still a lot of work to be done. \\nIn this course, physicians and scientists at the Johns Hopkins School of Medicine explain how cancer spreads or metastasizes.  We’ll describe the major theories of metastasis and then describe the biology behind the steps in metastasis. The course also describes the major organs targeted by metastasis and describes how metastases harm the patient.","Cancer Biology; biology; histology; medicine; genetics; metastasis; biotechnology; cancer; stem cells; molecular biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43906.0,"Arabic","English","life-sciences","basic-science","KRRDpBa-EeaXaw7Yj6TwHQ","[NULL]"]
["1. Literacy","Basic Science","Antimicrobial resistance - theory and methods","Technical University of Denmark (DTU)","Intermediate",11.8,4.62,"https://www.coursera.org/learn/antimicrobial-resistance","The course will cover the topics related to antimicrobial resistance with basic definitions and overview on antimicrobials their use and the emergence and spread of resistance. The course will guide you through the concepts and the importance  of resistance spread and dissemination and how that happens. It will show you how bacteria become resistant and which mechanisms they might use for this. And as part of the course you will also receive some training in methods for antimicrobial susceptibility testing (AST) and detection of specific resistance in the microbiological laboratories with the basic methods available and with focus on the obtention of good quality results which can be interpreted and used for different purposes.\\nAdditionally, it will show you how to use genomic analysis tools to analyze whole genome sequencing data to detect resistance genes (and or other genes of interest) in a simple and easy way using online tools freely available. \\nIn the new new version an additional module including detection of specific resistance mechanisms was added.\\n\\nAfter this course you should be able to:\\n\\n1.\\tDescribe the most important families of antimicrobials and mode of action\\n2.\\tUnderstand the basic concepts of antimicrobial resistance from several perspectives (clinical, research and microbiological)\\n3.\\tEnumerate and describe how bacteria can become resistant and the mechanisms that may be involved in that process\\n4.\\tDescribe how antimicrobial resistance emerges and spreads around the world including concepts of antimicrobial resistance transfer, selection and dissemination\\n5.\\tEnumerate the methods used for antimicrobial susceptibility testing (AST) \\n6.\\tCompare dilution and diffusion methods and know the basic techniques of agar disk diffusion, broth dilution and agar dilution methods \\n7.\\tHave detailed theoretical knowledge on how to perform the main methods in a laboratory\\n8.\\tKnow the basic concepts about analysis and interpretation of results of AST, including different breakpoints, cut-off setting and their applications.\\n9.\\tUnderstand the importance and related concepts related to quality management and quality assurance method standardization, applied to AST \\n10.\\tRelate the information obtained in this course with real cases of resistant bacteria spreading in patients, the community, animals or the environment\\n11.\\tRelate the phenotypical results with results from genotyping using molecular techniques for detection of resistance mechanisms\\n12.\\tUnderstand the concept and be able to apply genomic analysis tools used to detect resistance genes and other relevant genes from Whole Genome Sequencing (WGS) data (with demonstration of selected online tools)\\n\\nDisclaimer: Please note that the guidelines and methods referred or links included in these materials are updated when the videos lectures are produced and before the course is released, however these might become outdated with time.","bacteria; analysis; antimicrobials; genome; antimicrobial resistance; antibiotic; microbiology; drug resistance; antimicrobial; drugs","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43994.0,"None","English","life-sciences","basic-science","AeZELZrJEeW6bw4ogk2HGQ","[NULL]"]
["1. Literacy","Basic Science","Tropical Parasitology: Protozoans, Worms, Vectors and Human Diseases","Duke University","Intermediate",13.0,4.59,"https://www.coursera.org/learn/parasitology","This course provides students an understanding of important human parasitic diseases, including their life cycles, vectors of transmission, distribution and epidemiology, pathophysiology and clinical manifestations, treatment, and prevention and control. Tropical Parasitology is taught by faculty from an area highly impacted by tropical parasites- the Kilimanjaro Christian Medical University College in Moshi, Tanzania.  The faculty include Drs. Frank Mosha and Mramba Nyindo (and two lecturers, Drs. Johnson Matowo and Jovin Kitau). Dr. John Bartlett, Professor of Medicine, Global Health and Nursing at Duke University, joins his faculty colleagues in this effort.","ascariasis; Disease Control; disease; toxoplasmosis; parasites; parasitology; infection; filariasis; echinococcosis; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43967.0,"None","English","life-sciences","basic-science","2iG_GsYMEeWJGhLlUd0b5w","[NULL]"]
["1. Literacy","Basic Science","Bugs 101: Insect-Human Interactions","University of Alberta","Intermediate",30.6,4.9,"https://www.coursera.org/learn/bugs-101","Of all the animals on earth, which are the strongest for their size? What about the fastest? Who were the first animals to evolve flight? Insects take all of these titles and more! As the most abundant animals on the planet, insects and other arthropods affect our lives in so many ways. From beneficial interactions like pollination and biological pest control, to the transmission of life threatening diseases; this course will teach you about the big ways that these little arthropods impact our lives. \\n\\nIn Bugs 101: Insect-Human Interactions, you will be plunged into the diverse (and sometimes alien) world of arthropods to learn how they work, what they do, and how insects and humans interact every day.\\n\\nAfter completing this course, you will be able to:\\n\\nDescribe the evolutionary relationships between insects and their arthropod relatives\\nInventory major groups of insects and their diversity \\nDemonstrate evolutionary adaptations that make insects successful \\nDiscuss insect biology and human-insect interactions\\nEvaluate positive and negative interactions between insects and humans\\nPropose practical and symbolic roles insects play in human societies","biology; plant; animal; entomophagy; disease; insect flight; decomposer; Entomology; beekeeping; nutrients","Non Specialization","Non Specialization","Non Specialization","Non Specialization","20, 37","None","English","life-sciences","basic-science","KJtlcHf7EemcDgqxMcjw6A","[NULL]"]
["1. Literacy","Basic Science","Sleep: Neurobiology, Medicine, and Society","University of Michigan","Intermediate",38.8,4.77,"https://www.coursera.org/learn/sleep","The objective of this course is to give students the most up-to-date information on the biological, personal, and societal relevance of sleep. Personal relevance is emphasized by the fact that the single best predictor of daytime performance is the quality of the previous night's sleep. The brain actively generates sleep, and the first section of the course is an overview of the neurobiological basis of sleep control. The course provides cellular-level understanding of how sleep deprivation, jet lag, and substances such as alcohol, ,caffeine, and nicotine alter sleep and wakefulness. The second section of the course covers sleep-dependent changes in physiology and sleep disorders medicine. Particular emphasis will be placed on disorders of excessive sleepiness, insomnia, and sleep-dependent changes in autonomic control. Chronic sleep deprivation impairs immune function and may promote obesity. Deaths due to all causes are most frequent between 4:00 and 6:00 a.m., and this second section of the class highlights the relevance of sleep for preventive medicine. The societal relevance of sleep will be considered in the final section of the class. In an increasingly complex and technologically oriented society, operator-error by one individual can have a disastrous negative impact on public health and safety.  Fatigue-related performance decrements are known to have contributed as causal factors to nuclear power plant failures, transportation disasters, and medical errors.","molecular biology; sleep; sleep apnea; cognitive behavioral therapy; medicine; neurobiology; biology; Sleep Medicine; Psychiatric Disorders; sleep (system call)","Non Specialization","Non Specialization","Non Specialization","Non Specialization","14, 64","None","English","life-sciences","basic-science","7gyJXYIhEeeL9BLE3sEj-g","[NULL]"]
["1. Literacy","Basic Science","Basics of Extracellular Vesicles","University of California, Irvine","Intermediate",14.6,4.77,"https://www.coursera.org/learn/extracellular-vesicles","This course aims to provide the basic knowledge about extracellular vesicles (EV) a generic term including exosomes, microvesicles, microparticles, ectosomes, oncosomes, prostasomes, and many others. It covers areas such as EV history, nomenclature, biogenesis, EV cargo as well as the release and uptake mechanisms, collection and processing prior to isolation, different isolation methods, characterization and quantification techniques.\\n\\nThis course is divided into five modules. Module 1 is an introduction to the field and will cover the nomenclature and the history of EVs.  Module 2 will focus on the biogenesis, release and uptake mechanisms of EVs as well as the different EV cargos (RNA, protein, lipids). In Module 3, we will focus on the collection and processing of cell culture media and body fluids such as blood, breast milk, cerebrospinal fluid and urine prior to isolation of EVs. Module 4 and 5 will present different isolation methods and characterization/quantification techniques, respectively. Here differential ultracentrifugation, size exclusion chromatography, density gradient, kit based precipitation, electron microscopy (EM), cryo-TEM, flow cytometry, atomic-force microscopy and nanoparticle tracking analysis will be presented.  \\n\\nThe recommended prerequisites are college-freshman-level biology and biochemistry.\\nAfter a completed course you should be able to:\\n+ Discuss the nomenclature and subgroups of extracellular vesicles.\\n+ Describe the RNA, protein and lipid content of extracellular vesicles.\\n+ Describe the basic concepts about the most common isolation and characterization techniques and how these techniques are used in the EV field. \\n+ State the benefits and limitations of the most common isolation and characterization techniques for extracellular vesicles. + Explain the considerations that are important during the collection and isolation of EVs from different body fluid.\\n+ Describe the release and uptake mechanisms of extracellular vesicles\\n\\nAll lectures are given in English.\\n\\nEach of the five modules will be followed by an exam. All exams will be in the format of multiple choice questions.\\n\\nThe course is organized in collaboration between the International Society for Extracellular Vesicles (ISEV), University of California Irvine (USA), University of Gothenburg (Sweden) and Pohang University of Science and Technology (South Korea).","biology; biomarker; microvesicles; proteomics; cell biology; medicinal chemistry; biochemistry; flow cytometry; Sample Preparation; alzheimer's disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44061.0,"None","English","life-sciences","basic-science","Bd1hjQihEeanEwrcMmtTvw","[NULL]"]
["1. Literacy","Basic Science","Understanding the Brain: The Neurobiology of Everyday Life","The University of Chicago","Intermediate",49.0,4.88,"https://www.coursera.org/learn/neurobiology","Learn how the nervous system produces behavior, how we use our brain every day, and how neuroscience can explain the common problems afflicting people today. We will study functional human neuroanatomy and neuronal communication, and then use this information to understand how we perceive the outside world, move our bodies voluntarily, stay alive, and play well with others.","clinical psychology; clinical pharmacology; anatomy; aphasia; cognitive neuroscience; euler's totient function; learning; neurology; neurological disorders; neurobiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","30, 58","Catalan","English","life-sciences","basic-science","Gn2FwjeBEeSauSIAC0iVUQ","[NULL]"]
["1. Literacy","Basic Science","Introductory Human Physiology","Duke University","Beginner",34.5,4.71,"https://www.coursera.org/learn/physiology","In this course, students learn to recognize and to apply the basic concepts that govern integrated body function (as an intact organism) in the body's nine organ systems.","physiology; organ system; biology; Chinese Medicine; exercise physiology; human biology; biochemistry; euler's totient function; learning; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization","21, 43","Chinese","English","life-sciences","basic-science","Tr9rK6JtEeSwKiIACiONVg","[NULL]"]
["1. Literacy","Basic Science","The Science of Stem Cells","American Museum of Natural History","Beginner",10.0,4.74,"https://www.coursera.org/learn/stem-cells","What promise do stem cells hold for the treatment of medical conditions? In this five-part online course you will explore the history and basic biology of stem cells, learn about new research techniques, and find out how stem cells could lead to cures for diseases and to individualized medicine. You will hear from Museum scientists, medical researchers at the frontiers of the field, and a panel of bioethics experts who will address the ethical implications of stem cell research and therapy.  Learn what has already been accomplished, what challenges remain, and what medical breakthroughs may lie ahead.","stemming; biology; stem cells; stem cell research; stem cell; biochemistry; Stem Cell Biology; bioethics; cell biology; embryonic stem cell","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43963.0,"None","English","life-sciences","basic-science","WGKjcPbxEeeENAqf5jsdFA","[NULL]"]
["1. Literacy","Basic Science","Introduction to Reproduction","Northwestern University","Beginner",10.4,4.55,"https://www.coursera.org/learn/reproductive-health","Do you have questions about sex hormones or menstrual cycles?  This is a crash-course in human reproductive health through fact and biology-based information on a variety of topics.  \"Sex 101\" will cover reproductive anatomy, key biological changes during puberty, sexual biology and contraceptive methods, reproductive disorders, and a special introduction to the exciting field of Oncofertility.  Specific lecture titles are as follows:  1) Reproductive Anatomy & Hormones, 2) Menstrual Cycle, Oocyte Maturation, & Sperm Activation, 3) Sexual Biology, Fertilization, & Contraception, and 4) Reproductive Health & Disorders.\\n \\nThe objective of this course is to ensure you understand reproductive health and not confuse reproduction with sex (or having sex).  This course was designed with you in mind, and is aimed at providing you with quality information that is meaningful to you and that may be hard to find otherwise.  Reproductive health is an area of knowledge that needs to be demystified.  We have designed this course for you to examine reproduction through a biological and scientific lens addressing these issues in a comfortable and interactive format that will lead to a better understanding of holistic health, long-term.","menstrual cycle; sex; hormone; biology; reproductive health; pregnancy; female reproductive system; sexual health; reproduction; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43904.0,"Romanian; Czech; Arabic","English","life-sciences","basic-science","LwM5OhquEeWjrA6seF25aw","[NULL]"]
["1. Literacy","Basic Science","Introduction to Genetics and Evolution","Duke University","Advanced",40.7,4.82,"https://www.coursera.org/learn/genetics-evolution","Introduction to Genetics and Evolution is a college-level class being offered simultaneously to new students at Duke University. The course gives interested people a very basic overview of some principles behind these very fundamental areas of biology.  We often hear about new \"genome sequences,\" commercial kits that can tell you about your ancestry (including pre-human) from your DNA or disease predispositions, debates about the truth of evolution, why animals behave the way they do, and how people found \"genetic evidence for natural selection.\"  This course provides the basic biology you need to understand all of these issues better, tries to clarify some misconceptions, and tries to prepare students for future, more advanced coursework in Biology (and especially evolutionary genetics).  No prior coursework is assumed.","biology; evolution; genetics; DNA; animal behavior; introduction to genetics; Molecular Evolution; evolutionary biology; animal; gene","Non Specialization","Non Specialization","Non Specialization","Non Specialization","26, 50","Romanian","English","life-sciences","basic-science","k9p3Qh8kEeWP0w4yK2369w","[NULL]"]
["1. Literacy","Basic Science","Genes and the Human Condition (From Behavior to Biotechnology)","University of Maryland, College Park","Beginner",17.9,4.55,"https://www.coursera.org/learn/genes","To acquire an understanding of the fundamental concepts of genomics and biotechnology, and their implications for human biology, evolution, medicine, social policy and individual life path choices in the 21st century.","synthetic biology; molecular biology; molecular genetics; biotechnology; gene; genome; biology; epigenetics; genetics; genetic engineering","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44096.0,"Hebrew","English","life-sciences","basic-science","gbsG0MYYEeSsuSIAC8uEUA","[NULL]"]
["1. Literacy","Basic Science","Synapses, Neurons and Brains","Hebrew University of Jerusalem","Advanced",31.7,4.76,"https://www.coursera.org/learn/synapses","These are very unique times for brain research. The aperitif for the course will thus highlight the present “brain-excitements” worldwide. You will then become intimately acquainted with the operational principles of neuronal “life-ware” (synapses, neurons and the networks that they form) and consequently, on how neurons behave as computational microchips and how they plastically and constantly change  - a process that underlies learning and memory. Recent heroic attempts to realistically simulate large cortical networks in the computer will be highlighted (e.g., “the Blue Brain Project”) and processes related to perception, cognition and emotions in the brain will be discussed. For dessert we will deliberate on the future of brain research, including the questions of “brain and art”, consciousness and free will. For more information see the course promo below and read “About the course.”","cell biology; computational neuroscience; memory; cognitive science; neuroscience; neurology; cognitive neuroscience; neuron (software); anatomy; biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","19, 45","None","English","life-sciences","basic-science","ujDaYENhEeSfwCIACxeXRw","[NULL]"]
["1. Literacy","Basic Science","Life, Health and Radiation","The University of Sydney","[NULL]",16.1,4.68,"https://www.coursera.org/learn/life-health-radiation","Radiation is all around us - without it we wouldn’t exist. Yet the word has become synonymous with danger, death and disaster. \\n\\nThis MOOC will allow the world to see radiation in a new light, to expose its benefits as well as its risks. X-ray radiation, for example, is a scientific and medical discovery that has improved or prolonged billions of lives. Most of us have had an X-ray at some point in our life, at the Dentist, in a hospital or clinic. Yet few people really understand what X-rays are or where they come from.  \\n\\nIn this course, we will travel along the spectrum of electromagnetic radiation from unimaginably long to infinitesimally small wavelengths. At each significant point along the way we will stop and consider: \\n\\nWhat is the wavelength and frequency of this radiation?  \\nIs it ionising or not? \\nWho discovered it and how? \\nWhat are the uses of this radiation and  \\nWhat are the risks associated with it? \\n\\nThrough this we hope to clarify a topic that is often confusing and concerning for many.","x-ray; dentistry; health; Rehabilitative Services; Case Preparation; Substance Abuse and Mental Health Services Administration (SAMHSA)","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44034.0,"None","English","life-sciences","basic-science","uYPONw9REeeYSwoRrxflRA","[NULL]"]
["1. Literacy","Basic Science","Introduction to the Biology of Cancer","Johns Hopkins University","Beginner",12.4,4.76,"https://www.coursera.org/learn/cancer","Over 500,000 people in the United States and over 8 million people worldwide are dying every year from cancer. As people live longer, the incidence of cancer is rising worldwide and the disease is expected to strike over 20 million people annually by 2030. This open course is designed for people who would like to develop an understanding of cancer and how it is prevented, diagnosed, and treated.\\n\\nThe course introduces the molecular biology of cancer (oncogenes and tumor suppressor genes) as well as the biologic hallmarks of cancer. The course also describes the risk factors for the major cancers worldwide, including lung cancer, breast cancer, colon cancer, prostate cancer, liver cancer, and stomach cancer. We explain how cancer is staged, the major ways cancer is found by imaging, and how the major cancers are treated.\\n\\nIn addition to the core materials, this course includes two Honors lessons devoted to cancers of the liver and prostate.\\n\\nUpon successful completion of this course, you will be able to:\\n\\n- Identify the major types of cancer worldwide. (Lecture 1)\\n- Describe how genes contribute to the risk and growth of cancer. (Lecture 2)\\n- List and describe the ten cellular hallmarks of cancer. (Lecture 3)\\n- Define metastasis, and identify the major steps in the metastatic process. (Lecture 4)\\n- Describe the role of imaging in the screening, diagnosis, staging, and treatments of cancer. (Lecture 5)\\n- Explain how cancer is treated. (Lecture 6)\\n\\nWe hope that this course gives you a basic understanding of cancer biology and treatment. The course is not designed for patients seeking treatment guidance – but it can help you understand how cancer develops and provides a framework for understanding cancer diagnosis and treatment.","Cancer Biology; learning; immunotherapy; Cancer Genetics; cancer; oncology; cancer staging; genetics; biology; cancer treatments","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43967.0,"Portuguese; Catalan; Dutch; Hebrew; Spanish","English","life-sciences","basic-science","q78Cq1x8EeW9BBKT5ztNhQ","[NULL]"]
["1. Literacy","Basic Science","DNA Decoded","McMaster University","Beginner",9.5,4.8,"https://www.coursera.org/learn/dna-decoded","Are you a living creature? Then, congratulations! You’ve got DNA. But how much do you really know about the microscopic molecules that make you unique? \\n\\nWhy is DNA called the “blueprint of life”? \\nWhat is a “DNA fingerprint”?\\nHow do scientists clone DNA? \\nWhat can DNA teach you about your family history?\\nAre Genetically Modified Organisms (GMOs) safe?\\nIs it possible to revive dinosaurs by cloning their DNA? \\n\\nDNA Decoded answers these questions and more. If you’re curious about DNA, join Felicia Vulcu and Caitlin Mullarkey, two biochemists from McMaster University, as they explore the structure of DNA, how scientists cracked the genetic code, and what our DNA can tell us about ourselves. Along the way, you’ll learn about the practical techniques that scientists use to analyze our genetic risks, to manipulate DNA, and to develop new treatments for a range of different diseases. Then, step into our virtual lab to perform your own forensic DNA analysis of samples from a crime scene and solve a murder.","genomics; forensic science; genetics; DNA; biology; molecular genetics; molecular biology; forensic psychology; dnas; biochemistry","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43903.0,"None","English","life-sciences","basic-science","XtG-3iXXEee9kRIpW6HxRg","[NULL]"]
["1. Literacy","Basic Science","Women in environmental biology","Universitat Autònoma de Barcelona","Beginner",11.3,4.22,"https://www.coursera.org/learn/women-environmental-biology","Have you ever wondered how humans relate to other living beings and what do you need to know to be able to understand current environmental problems? Do you know that many of these researches and knowledge have been described by women?\\n\\nThis course gives answers to these questions and it is addressed to anyone interested in the relationship between humans and other living beings, as well as all those concerned about the global change situation that the planet is suffering.\\n\\nWe will learn key concepts of environmental biology, what does the word biodiversity mean, what are the main types of living organisms that exist on the Earth and the importance of these for human beings. We will also learn that the gender perspective plays a key role in how we understand the world and in how science, and in particular, environmental biology, progress.\\n\\nWhat is this course useful for? In the current context of global change of the planet, sustainability is a key and transversal concept in many aspects of our life: education, politics, legislation, etc ... Knowing to appreciate the importance of our relationship with the natural environment will facilitate to work on issues related to sustainability with a solid knowledge based on evidence.\\n\\nOn the other hand, there is growing evidence that the gender perspective is a key element in the transformation of many environmental problems on the planet. This course has been designed and developed by a team of women researchers applying the gender perspective in the content and structure of the course. In addition, with this course you will discover many other women who, throughout history, have made key contributions to environmental biology and that will surely allow you to start stretching the thread to know more of them.","Environmental Education; concept note; autobiographical memory; biology; dominant narrative; Environmental Biology; bedtime story; adaline; character building; biodiversity","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44026.0,"None","English","life-sciences","basic-science","oF9eci9-Eem6mRKjkIsR2A","[NULL]"]
["1. Literacy","Basic Science","The Addicted Brain","Emory University","Beginner",16.4,4.53,"https://www.coursera.org/learn/addiction-and-the-brain","This is a course about addiction to drugs and other behaviors. It will describe what happens in the brain and how this information helps us deal with and overcome addiction. It will also discuss other topics such as government policy and our vulnerability to take drugs.","Alcohol Abuse Treatment; learning; Drug And Alcohol Abuse Treatment; well; alcohol abuse; addiction; animal; Addiction Treatment; prevention; drugs","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44032.0,"Chinese; Russian; Italian; Greek","English","life-sciences","basic-science","knivtHEHEeSfpCIACzWBZw","[NULL]"]
["1. Literacy","Basic Science","Protists: Evolution and Ecology of Microbial Eukaryotes","Saint Petersburg State University","Intermediate",16.9,4.23,"https://www.coursera.org/learn/protists-evolution-ecology-microbial-eukaryotes","Life on Earth appears to be dominated by higher plants and animals. Yet an immense variety of microbial eukaryotes swarm in the foliage, grass, soil, bogs, ponds, streams, lakes, and oceans. These inconspicuous organisms are flagellates, algae, ciliates, sarcodines, slime molds, apicomplexans. This assemblage is generally termed the protists. Our course is to build a comprehensive picture of protistan diversity. The major steps of eukaryotic evolution will be in focus. By tracking phylogenetic affinities in protistan lineages we will elucidate the major branches on the tree of eukaryotic life. \\n\\nMany protists are unicellular. This single cell is simultaneously a self-sufficient organism, which is able to sense, move, feed, and repulse an attack on its own. Therefore, protistan cells often demonstrate greater complexity of organelles, structures, and controls than the specialized cells of metazoan animals and higher plants. We will explore how free-living and parasitic unicells implement locomotion, food acquisition, digestion, osmotic regulation, and how they accomplish their life cycle. We also will look into how protists interact with the environment and manage to be biological success.\\n\\nWithin the six modules, we will speak of (1) what protists are, (2) flagellates, (3) sarcodines and slime molds, (4) ciliates, (5) apicomplexans and microsporidians, and (6) finally we will go over the modern phylogeny, will summarize life histories and discuss evolutionary trends in free-living and parasitic protists. This online course will have an optional on-campus extension, when the students have one week of practical exercises in the lab. Using light microscopy, they will observe, explore, and document live specimens and fixed mounts of naked and testate amoebas, foraminiferans, radiolarians, heliozoans, myxomycetes, flagellates, ciliates, gregarines, and coccidians.","ecology; microbiology; evolution; biology; kinetochore; cell biology; parasites of vertebrates; Plant Biology; phylogenetics; marine biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44069.0,"None","English","life-sciences","basic-science","t7BQXHhYEeeobg7O-NRcDA","[NULL]"]
["1. Literacy","Basic Science","Visual Perception and the Brain","Duke University","Intermediate",23.4,4.67,"https://www.coursera.org/learn/visual-perception","Learners will be introduced to the problems that vision faces, using perception as a guide. The course will consider how what we see is generated by the visual system, what the central problem for vision is, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, the history of vision science and what philosophy has contributed. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception. We see the physical world in a strange way, and goal is to understand why.","visual basic; perception; ada lovelace; clinical neuroscience; color vision; clinical psychology; neuroscience; binocular rivalry; consumer behaviour; psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15, 29","Italian","English","life-sciences","basic-science","eVrrS8E_EeWP5g5dlaZx4w","[NULL]"]
["1. Literacy","Basic Science","Fundamental Neuroscience for Neuroimaging","Johns Hopkins University","Intermediate",10.2,4.63,"https://www.coursera.org/learn/neuroscience-neuroimaging","Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Designed for students and professionals, this course will introduce the basic principles of neuroimaging methods as applied to human subjects research and introduce the neuroscience concepts and terminology necessary for a basic understanding of neuroimaging applications. Topics include the history of neuroimaging, an introduction to neuroimaging physics and image formation, as well as an overview of different neuroimaging applications, including functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, perfusion imaging, and positron emission tomography imaging. Each will be reviewed in the context of their specific methods, source of signal, goals, and limitations. The course will also introduce basic neuroscience concepts necessary to understand the implementation of neuroimaging methods, including structural and functional human neuroanatomy, cognitive domains, and experimental design.","medicine; cardiology; neuropsychology; medical imaging; cognitive science; radiology; fmri; neuroscience; neuroimaging; neurobiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43995.0,"None","English","life-sciences","basic-science","xsR5cST9Eee20hKGBTMJdA","[NULL]"]
["1. Literacy","Basic Science","Osteoarchaeology: The Truth in Our Bones","Universiteit Leiden","Intermediate",32.0,4.64,"https://www.coursera.org/learn/truthinourbones-osteoarchaeology-archaeology","This course is about what we can learn from examining the human skeleton, and how we can use this knowledge to reconstruct the lives of people who lived in the past. In archaeology and anthropology, human skeletal remains can provide unique insights into the past and the present; insights that cannot be gained otherwise.\\nThese insights are explored in five main themes spread out over five weeks of learning. First, it is shown how age-at-death, sex and stature can be estimated by the close examination of (archaeological) skeletal remains. In subsequent modules it is shown how human bones can provide information about the diseases and injuries that people suffered from and what they ate. Also, it is shown how the human skeleton provides information about the kinds of activities that people engaged in and about how they migrated and moved around their landscapes. \\n\\nIn this course, you will examine all aspects of the human skeleton that can provide us with information about these different facets of life. Together we will explore the scientific field that is known as human osteoarchaeology. \\n- Human, because it is about us and our ancestors, \\n- Osteo, because it is about our bones, \\n- Archaeology, because we use this information to better understand the behaviors and events experienced by past people. \\n\\nDuring the course, you will decipher the clues left behind in the skeletons of past peoples with the methods and techniques that are presented. You may also discover some clues hidden in your own skeleton and what they reveal about the life that you are living. \\n\\nWant to know more? You can take a look at the course trailer here: https://www.youtube.com/watch?v=fJi22TxzpRw","anatomy; forensic science; marine biology; history; Archeology; biological anthropology; biology; learning; Anthropology; forensic anthropology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22, 38","Spanish","English","life-sciences","basic-science","wgFxEtoZEeWXug64M90gpQ","[NULL]"]
["1. Literacy","Basic Science","Lactation Biology","University of Illinois at Urbana-Champaign","Beginner",39.3,4.82,"https://www.coursera.org/learn/lactation-biology","Lactation and especially milk, which is the product of that unique mammalian process, are routinely encountered within our daily lives. Nevertheless, they often are poorly understood by many, even including many who are engaged in the business of producing milk. The overall course goal is to introduce fundamental concepts that form the basis for understanding the biology of lactation, the biology of the mammary gland, and the products of that important physiological process.\\n\\nAs a learner in this course, you will be provided with a series of easily understood presentations that collectively will help you build a foundation for greater understanding of lactation. You will be able to engage with other learners so that you can extend your learning beyond the video presentations. Ultimately, you will be able to construct your own mental model for understanding the wide range of topics that relate to the biology of lactation. Upon completion of the course, you will be prepared to expand your knowledge and understanding of lactation from other sources and experiences as you pursue your individual interests.\\n\\nBefore you start the course, I suggest that you identify a question or several questions about lactation that you already have on your mind. This could be from your own experiences, something you read about or saw, or something you have wondered about. Write down your question(s) and use that to help you decide how to engage with the content of this course. You might engage with the modules in the order they are presented, or start with a module that is of particular interest to you, or pick and choose modules in any order. I encourage you to engage in all of the types of learning activities that this course has to offer, including but not limited to, the discussion forums, quizzes, peer-review assignments, and concept maps and other learning aids.","midwifery; ergotism; cabergoline; bovine somatotropin; evolution; lactation; creamery; biology; animal; calcium phosphate","Non Specialization","Non Specialization","Non Specialization","Non Specialization","24, 54","None","English","life-sciences","basic-science","hpasH4-2EeaNrQrkg4diMQ","[NULL]"]
["1. Literacy","Basic Science","The Brain and Space","Duke University","Intermediate",15.9,4.74,"https://www.coursera.org/learn/human-brain","This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities.\\n\\nKnowing where things are is effortless.  But “under the hood,” your brain must figure out even the simplest of details about the world around you and your position in it.  Recognizing your mother, finding your phone, going to the grocery store, playing the banjo – these require careful sleuthing and coordination across different sensory and motor domains.  This course traces the brain’s detective work to create this sense of space and argues that the brain’s spatial focus permeates our cognitive abilities, affecting the way we think and remember.\\n\\nThe material in this course is based on a book I've written for a general audience.  The book is called \"Making Space: How the Brain Knows Where Things Are\", and is available from Amazon, Barnes and Noble, or directly from Harvard University Press. \\n\\nThe course material overlaps with classes on perception or systems neuroscience, and can be taken either before or after such classes.\\n\\nDr. Jennifer M. Groh, Ph.D.\\nProfessor\\nPsychology & Neuroscience; Neurobiology\\nDuke University\\n www.duke.edu/~jmgroh\\n\\nJennifer M. Groh is interested in how the brain process spatial information in different sensory systems, and how the brain's spatial codes influence other aspects of cognition.  She is the author of a recent book entitled \"Making Space:  How the Brain Knows Where Things Are\" (Harvard University Press, fall 2014).\\n\\nMuch of her research concerns differences in how the visual and auditory systems encode location, and how vision influences hearing.  Her laboratory has demonstrated that neurons in auditory brain regions are sometimes responsive not just to what we hear but also to what direction we are looking and what visual stimuli we can see.  These surprising findings challenge the prevailing assumption that the brain’s sensory pathways remain separate and distinct from each other at early stages, and suggest a mechanism for such multi-sensory interactions as lip-reading and ventriloquism (the capture of perceived sound location by a plausible nearby visual stimulus).\\n\\nDr. Groh has been a professor at Duke University since 2006.  She received her undergraduate degree in biology from Princeton University in 1988 before studying neuroscience at the University of Michigan (Master’s, 1990), the University of Pennsylvania (Ph.D., 1993), and Stanford University (postdoctoral, 1994-1997).  Dr. Groh has been teaching undergraduate classes on the neural basis of perception and memory for over fifteen years.  She is presently a faculty member at the Center for Cognitive Neuroscience and the Duke Institute for Brain Sciences at Duke University.  She also holds appointments in the Departments of Neurobiology and Psychology & Neuroscience at Duke.\\n\\nDr. Groh’s research has been supported by a variety of sources including the John S. Guggenheim Foundation, the National Institutes of Health, the National Science Foundation, and the Office of Naval Research Young Investigator Program, the McKnight Endowment Fund for Neuroscience, the John Merck Scholars Program, the EJLB Foundation, the Alfred P. Sloan Foundation, the Whitehall Foundation, and the National Organization for Hearing Research.","psychology; cognitive science; cognitive neuroscience; experimental psychology; religion; happiness; neurobiology; neuroscience; linguistics; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44096.0,"Spanish; Italian; Romanian","English","life-sciences","basic-science","jnoxprrzEeW2iwpbOuagWQ","[NULL]"]
["1. Literacy","Basic Science","Music as Biology: What We Like to Hear and Why","Duke University","Beginner",14.8,4.24,"https://www.coursera.org/learn/music-as-biology","The course will explore the tone combinations that humans consider consonant or dissonant, the scales we use, and the emotions music elicits, all of which provide a rich set of data for exploring music and auditory aesthetics in a biological framework. Analyses of speech and musical databases are consistent with the idea that the chromatic scale (the set of tones used by humans to create music), consonance and dissonance, worldwide preferences for a few dozen scales from the billions that are possible, and the emotions elicited by music in different cultures all stem from the relative similarity of musical tonalities and the characteristics of voiced (tonal) speech. Like the phenomenology of visual perception, these aspects of auditory perception appear to have arisen from the need to contend with sensory stimuli that are inherently unable to specify their physical sources, leading to the evolution of a common strategy to deal with this fundamental challenge.","biology; human voice; critical band; music psychology; missing fundamental; neurobiology; music; visual arts; vocal tract; formant","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44091.0,"Spanish","English","life-sciences","basic-science","ujxZm0T9EeWhnQozdayc-w","[NULL]"]
["1. Literacy","Basic Science","Bacteria and Chronic Infections","University of Copenhagen","Beginner",12.5,4.58,"https://www.coursera.org/learn/bacterial-infections","This course will give you an introduction to bacteria and chronic infections. Leading experts in the field will make you familiar with the fundamental concepts of microbiology and bacteriology such as single cell bacteria, biofilm formation, and acute and chronic infections.","infection; antibiotic; infection control; biofilm; medical microbiology; learning; antibiotics; bacteriology; bacteria; microbiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43997.0,"None","English","life-sciences","patient-care","towthzydEeW0tw4knrMo3Q","[NULL]"]
["1. Literacy","Basic Science","Introduction to Systems Biology","Icahn School of Medicine at Mount Sinai","Intermediate",23.6,4.21,"https://www.coursera.org/learn/systems-biology","This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability. In turn these processes come together to exhibit cellular behaviors such as secretion, proliferation and action potentials. What are the properties of such subcellular and cellular systems? What are the mechanisms by which emergent behaviors of systems arise? What types of experiments inform systems-level thinking? Why do we need computation and simulations to understand these systems?\\n\\nThe course will develop multiple lines of reasoning to answer the questions listed above. Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Examples will be discussed to demonstrate “how” cell- level functions arise and “why” mechanistic knowledge allows us to predict cellular behaviors leading to disease states and drug responses.","biotechnology; matlab; biomedical engineering; computational biology; pharmacology; cell biology; biology; bios; systems pharmacology; systems biology","Systems Biology and Biotechnology",1.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","13, 28","Chinese","English","life-sciences","basic-science","Fq__yk2bEeS5fSIACy-OMw","NvN7YG-tEeWaLg565CxmSw"]
["1. Literacy","Basic Science: Ecology","The Changing Arctic","National Research Tomsk State University","[NULL]",16.4,4.4,"https://www.coursera.org/learn/changing-arctic","What will I learn?\\nAfter taking this course you will have an understanding of Arctic landscapes, how they were formed and how they are changing. You will also learn how scientists from countries around the North are working together to understand how these changes will affect the People of the North and the global community. You will experience a range of scientific topics, up-to-date-methods for understanding our environment, and the current consensus views on the future of the Arctic environment.\\n\\nDo I need prior knowledge?\\nNo prior knowledge is needed for this course; participants should only come equipped with natural curiosity and a willingness to invest time in understanding an environmental issue of global concern. The terms and concepts are targeted at an educated public, not specialists, but resources will be provided so those who are motivated can explore some issues in more depth.","animal; .bit; forgetting; climate change; reindeer herder; plant; snow fence; biologist; causality; birching","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43973.0,"German","English","life-sciences","basic-science","3vTfVlUsEeWaMw4b4yEpbw","[NULL]"]
["1. Literacy","Basic Science: Ecology","Ecosystems of California","University of California, Santa Cruz","Beginner",18.7,4.55,"https://www.coursera.org/learn/california-ecosystems","This course surveys the diversity, structure and functioning of California’s ecosystems through time and the ways they have influenced and responded to human activities and stewardship. Topics include ecosystem drivers such as climate, soils, and land use history; human and ecological prehistory of the state; comparative marine, freshwater, and terrestrial ecosystem dynamics; and managed ecosystems such as range, fisheries and agriculture in California. The course also emphasizes important skills to understand as a scientist or consumer of scientific information, including data collection, natural history, and writing.","marine biology; biology; ecosystem; human nature; ecosystems; natural history; endogenous regeneration; ecology; resprouter; biodiversity","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44160.0,"None","English","life-sciences","basic-science","8Yiz7ITUEeaTWA5e4i8Kvw","[NULL]"]
["1. Literacy","Basic Science: Ecology","Ecology: Ecosystem Dynamics and Conservation","American Museum of Natural History","Intermediate",9.4,4.83,"https://www.coursera.org/learn/ecology-conservation","This course is an introduction to ecology and ecosystem dynamics using a systems thinking lens. Through a case study on Mozambique's Gorongosa National Park, learners will explore how scientists study ecosystems, and investigate the complex array of factors that inform management efforts. At the end of the course, learners will be able to grapple with real-world conservation questions, such as whether an ecosystem can recover from anthropogenic disruption and what role humans can, and should, play in that recovery.","ecosystem; biology; conservation biology; population; ecosystems; modeling; thought; systems thinking; biodiversity; ecology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43962.0,"None","English","life-sciences","basic-science","lnyeIPbxEeeHQRLf02JF5g","[NULL]"]
["1. Literacy","Basic Science: Ecology","Ecology: from cells to Gaia","National Research Tomsk State University","Intermediate",6.7,4.25,"https://www.coursera.org/learn/ecology","This course presents the principles of evolution and ecology for citizens and students interested in studying biology and environmental sciences. It discusses major ideas and results. Recent advances have energised these fields with evidence that has implications beyond their boundaries: ideas, mechanisms, and processes that should form part of the toolkit of all biologists and educated citizens.\\n\\nMajor topics covered by the course include fundamental principles of ecology, how organisms interact with each other and their environment, evolutionary processes, population dynamics, communities, energy flow and ecosystems, human influences on ecosystems, and the integration and scaling of ecological processes through systems ecology.\\n \\nThis course will also review major ecological concepts, identify the techniques used by ecologists, provide an overview of local and global environmental issues, and examine individual, group and governmental activities important for protecting natural ecosystems. The course has been designed to provide information, to direct the student toward pertinent literature, to identify problems and issues, to utilise research methodology for the study of ecology and evolution, and to consider appropriate solutions and analytical techniques. \\n\\nNeeded Learner Background: general biology and a good understanding of English.\\n\\nThis course has the following expectations and results:\\n1) covers the theoretical and practical issues involved in ecology and evolution,\\n2) conducting surveys and inventories in ecology, \\n3) analyzing the information gathered, \\n4) and applying their analysis to ecological and conservation problems.","restoration ecology; plant; biodiversity; Plant Biology; animal; cell biology; ecology; biology; Environmental Biology; conservation biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43869.0,"None","English","life-sciences","basic-science","pFWlQZH1EeaGqBL1Q5QOMw","[NULL]"]
["1. Literacy","Basic Science: Evolution","Evolution: A Course for Educators","American Museum of Natural History","Intermediate",12.1,4.67,"https://www.coursera.org/learn/teaching-evolution","How are all of the species living on Earth today related? How does understanding evolutionary science contribute to our well-being? In this course, participants will learn about evolutionary relationships, population genetics, and natural and artificial selection. Participants will explore evolutionary science and learn how to integrate it into their classrooms.","ciphertext stealing; natural history; paleontology; adaptation and natural selection; population genetics; evolution; evolutionary biology; paleobiology; Cooking; endophyte","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44057.0,"Romanian","English","life-sciences","basic-science","sxMQEV4hEeSF2SIACy-E9A","[NULL]"]
["1. Literacy","Basic Science: Evolution","Evolution Today","Universiteit Leiden","Beginner",12.9,4.56,"https://www.coursera.org/learn/evolution-today","In this course you will learn how evolution works. You will develop an understanding of evolutionary processes and their formative power. You will see how evolution has shaped biodiversity, and continuously influences our daily life. Evolution impacts human endeavors as varied as medicine, agriculture, psychology, economy, and culture. It is the major unifying principle for biology and a fundamental natural law. In five weeks we will make evolution accessible for you and help you to recognize evolutionary processes around you, in nature as well as in society. We make use of the unique collection of Naturalis, the natural history museum in Leiden, but also take you to the field. Using classical and up-to-date examples, we will show you how scientists address evolutionary questions. In the last module, we will have a look at the future. How will humans evolve? And how do we influence our own evolution and that of other organisms?\\n\\nThis course is aimed at anybody with a drive to obtain a deeper, broader, and pragmatic understanding of evolution, including high-school students, BSc (undergraduate) biology students, MSc (graduate) students from other disciplines, medical professionals, conservation officers and educators in museums, libraries, national parks, and schools.","evolutionary psychology; biology; evolutionary biology; paleontology; agriculture; medicine; evolutionary processes; Gene Regulation; evolution; DNA","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44027.0,"French","English","life-sciences","basic-science","H10rxZj0EeW5gxKDBxYMJw","[NULL]"]
["1. Literacy","Basic Science: Evolution","Emergence of Life","University of Illinois at Urbana-Champaign","Beginner",59.1,3.99,"https://www.coursera.org/learn/emergence-of-life","How did life emerge on Earth? How have life and Earth co-evolved through geological time? Is life elsewhere in the universe? Take a look through the 4-billion-year history of life on Earth through the lens of the modern Tree of Life!\\n\\nThis course will evaluate the entire history of life on Earth within the context of our cutting-edge understanding of the Tree of Life. This includes the pioneering work of Professor Carl Woese on the University of Illinois Urbana-Champaign campus which revolutionized our understanding with a new \"Tree of Life.\" Other themes include:\\n-Reconnaissance of ancient primordial life before the first cell evolved\\n-The entire ~4-billion-year development of single- and multi-celled life through the lens of the Tree of Life\\n-The influence of Earth system processes (meteor impacts, volcanoes, ice sheets) on shaping and structuring the Tree of Life\\n\\nThis synthesis emphasizes the universality of the emergence of life as a prelude for the search for extraterrestrial life.","microbiology; paleontology; global; advent; astrobiology; biology; cambrian explosion; evolution; explosion; Geology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22, 94","Romanian","English","life-sciences","basic-science","v6WP2snaEeWOSQ7DzjkS2Q","[NULL]"]
["1. Literacy","Basic Science: Other","The Science of Gastronomy","The Hong Kong University of Science and Technology","Intermediate",29.5,4.64,"https://www.coursera.org/learn/gastronomy","This course introduces a number of basic scientific principles underpinning the methodology of cooking, food preparation and the enjoyment of food. All topics covered have a strong basis in biology, chemistry, and physics application. Among others, they include the consumption of cooked food, the physiological and evolutionary implication of the senses, geographic and cultural influences on food, and the rationale behind food preparation. We will also discuss issues such as coupling of senses to improve sense stimulation; altering flavor by chemical means; and modification of the coloration to improve the appearance of dishes. Following the video demonstrations of the scientific principles of cooking, you will learn to recognize the key ingredients and their combinations for preparing good healthy food. At the end of this course, you will be able to:\\n\\n- appreciate the scientific basis of various recipes;\\n- develop your own recipes by integrating some of the scientific principles into new dishes;\\n- recognize the influence of the material world on human perception from the different senses;\\n- appreciate the art of integrating science into cooking and dining.\\n\\nImportant Note: This course is not designed for people with special dietary needs such as vegetarian, diabetic, and gluten-free diets. If you feel uncomfortable with any part of the assignments or activities of this course, you can substitute some of the ingredients or ask friends and family members to help with the tasting of your assignments. Alternatively, you may skip that specific assignment provided that you have fulfilled all other qualifying requirement to pass the course.\\n\\nCourse Overview video: https://youtu.be/H5vlaR0_X2I","fermentation; chemistry; chinese language; nutrition; food chemistry; blogging; baking; Cooking; food technology; food science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","14, 39","Chinese","English","life-sciences","basic-science","aRtcBiQDEeSddyIACzYDOg","[NULL]"]
["1. Literacy","Basic Science: Other","Chimpanzee Behavior and Conservation","Duke University","Intermediate",15.2,4.94,"https://www.coursera.org/learn/chimp","Chimpanzees are one of our closest living relatives, yet almost nothing was known about their behavior in the wild until Jane Goodall started her groundbreaking study of the chimpanzees of Gombe, Tanzania in 1960. This study continues today, following the same chimpanzee families that Jane Goodall first encountered over 55 years ago. Guided by three course instructors who have lived and worked with the Gombe chimpanzees, you will learn how Goodall’s early discoveries changed our view of human uniqueness. By completing the course, you will gain a new appreciation of the deep similarities between chimpanzees and humans in intelligence, tool use, hunting, personality and social relationships, as well as some key differences. You will learn how chimpanzees interact with their environment and how their behavior is influenced by ecology, as well as the severe conservation challenges they face today. And you will employ your new knowledge of chimpanzees to construct a persuasive argument for their protection. This course is open to everyone interested in learning more about these fascinating and complex beings. Knowledge of high-school level biology is beneficial but not required. Please keep in mind, however, that the content of this course will cover all aspects of chimpanzee life, including scientific discussion of sexual and aggressive behaviors.","sexual health; behavior; ethology; animal; conservation biology; forest floor; animal behavior; ecology; contest competition; biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44092.0,"None","English","life-sciences","basic-science","HVjlxtHlEea6rA7xa5ZVSg","[NULL]"]
["1. Literacy","Basic Science: Paleontology","Dino 101: Dinosaur Paleobiology","University of Alberta","Beginner",15.7,4.9,"https://www.coursera.org/learn/dino101","Dino 101: Dinosaur Paleobiology is a 12-lesson course teaching a comprehensive overview of non-avian dinosaurs. Topics covered: anatomy, eating, locomotion, growth, environmental and behavioral adaptations, origins and extinction. Lessons are delivered from museums, fossil-preparation labs and dig sites. Estimated workload: 3-5 hrs/week.","history; paleontology; biology; biodiversity; evolution of dinosaurs; critical thinking; paleobiology; evolution; anatomy; Geology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44121.0,"Spanish; German; Italian; French","English","life-sciences","basic-science","y5G1vZheEeWF6gpQJiw6hQ","[NULL]"]
["1. Literacy","Basic Science: Paleontology","Paleontology: Ancient Marine Reptiles","University of Alberta","[NULL]",8.8,4.8,"https://www.coursera.org/learn/ancient-marine-reptiles","Paleontology: Ancient Marine Reptiles is a four-lesson course teaching a comprehensive overview of the evolutionary changes that occur when air-breathing terrestrial animals return to water. This course examines the diversity, adaptations, convergence, and phylogenetic relationships of extinct marine reptiles. Students will explore three major groups of marine reptiles: ichthyosaurs, plesiosaurs, and mosasaurs. Watch a preview of the course here: https://uofa.ualberta.ca/courses/paleontology-marine-reptiles","animal; paleobiology; biology; paleontology; marine biology; mythology; evolution; ecology; evolutionary psychology; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43961.0,"Spanish; German; Romanian","English","life-sciences","basic-science","jnQnC3Q6EeWLqw7zlLhRzQ","[NULL]"]
["1. Literacy","Basic Science: Paleontology","Paleontology: Early Vertebrate Evolution","University of Alberta","[NULL]",6.6,4.82,"https://www.coursera.org/learn/early-vertebrate-evolution","Paleontology: Early Vertebrate Evolution is a four-lesson course teaching a comprehensive overview of the origin of vertebrates. Students will explore the diversity of Palaeozoic lineages within a phylogenetic and evolutionary framework. This course examines the evolution of major vertebrate novelties including the origin of fins, jaws, and tetrapod limbs. Students also explore key Canadian fossil localities, including the Burgess Shale (British Columbia), Miguasha (Quebec), and Man On The Hill (Northwest Territories). Watch a preview of the course here: https://uofa.ualberta.ca/courses/paleontology-vertebrate-evolution","fish; paleobiology; gill; evolution; evolutionary biology; biology; paleontology; zoology; marine biology; animal","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43928.0,"German; Romanian; Spanish","English","life-sciences","basic-science","ru6DZ3Q6EeWi0g6YoSAL-w","[NULL]"]
["1. Literacy","Basic Science: Paleontology","Paleontology: Theropod Dinosaurs and the Origin of Birds","University of Alberta","[NULL]",8.0,4.85,"https://www.coursera.org/learn/theropods-birds","Paleontology: Theropod Dinosaurs and the Origin of Birds is a five-lesson course teaching a comprehensive overview of the origins of birds. This course examines the anatomy, diversity, and evolution of theropod dinosaurs in relation to the origin of birds. Students explore various hypotheses for the origin of flight. Watch a preview of the course here: https://uofa.ualberta.ca/courses/paleontology-theropod-dinosaurs","bird anatomy; evolution; zoology; biology; animal; evolution of birds; evolution of dinosaurs; cervical rib; paleontology; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43960.0,"German; Romanian; Chinese; Spanish","English","life-sciences","basic-science","yj814XQ_EeWIfhKr_WcYsQ","[NULL]"]
["1. Literacy","Basic Science: Plant Biology","Understanding Plants - Part II: Fundamentals of Plant Biology","Tel Aviv University","Intermediate",7.6,4.75,"https://www.coursera.org/learn/plant-biology","This class is aimed at people interested in understanding the basic science of plant biology. In this four lecture series, we'll first learn about the structure-function of plants and of plant cells. Then we'll try to understand how plants grow and develop, making such complex structures as flowers. Once we know how plants grow and develop, we'll then delve into understanding photosynthesis - how plants take carbon dioxide from the air and water from soil, and turn this into oxygen for us to breathe\\nand sugars for us to eat.  In the last lecture we'll learn about the fascinating, important and controversial science behind genetic engineering in agriculture.\\n\\nIf you haven't taken it already, you may also be interested in my other course - What A Plant Knows, which examines how plants see, smell, hear and feel their environment: https://www.coursera.org/learn/plantknows.\\n\\nIn order to receive academic credit for this course you must successfully pass the academic exam on campus. For information on how to register for the academic exam – https://tauonline.tau.ac.il/registration\\n\\nAdditionally, you can apply to certain degrees using the grades you received on the courses. Read more on this here – \\nhttps://go.tau.ac.il/b.a/mooc-acceptance\\n\\nTeachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline.tau.ac.il/online-highschool","agriculture; Plant Biology; genetics; plant; cell biology; biotechnology; Transgenic Plants; biology; photosynthesis; genetic engineering","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"French; Portuguese; Catalan; Hebrew; Arabic; Romanian","English","life-sciences","basic-science","5lBjD4h_EeWgrxLS5SGTUQ","[NULL]"]
["1. Literacy","Basic Science: Plant Biology","Introduction to Algae","University of California San Diego","Beginner",10.3,4.73,"https://www.coursera.org/learn/algae","This course was produced by the Algae Technology Educational Consortium and UC San Diego with funding from the Algae Foundation, the National Renewable Energy Lab, and the U.S. Department of Energy.\\n  \\nAlgae are an extremely diverse group of organisms that can be found in almost every ecosystem on the planet, and they play an essential role for life on earth. They are little bio-factories that use the process of photosynthesis to create chemical compounds that we can utilize for food, feed, medicine, and even energy. We’ve brought together some of foremost algae experts from industry and academia to teach you the fundamentals of algae.\\n\\nThis course will cover what algae are, why they are important, and why we are interested in them for both their environmental benefit, as well as their use for products. You will also explore the vast diversity of algae including the characteristics and applications of some of the main types of algae that are in commercial use today.\\n\\nLater you will learn about algal ecology and how interactions with environment, including pests and predators, affect algal productivity. And finally you will examine the processes of algae bio-manufacturing including production processes, as well as some of the products, benefits, and challenges that impact our ability to make commercially viable products from algae.","biology; ecology; cyanobacteria; synthetic biology; food science; plant; food technology; biotechnology; microbiology; marine biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43963.0,"Spanish","English","life-sciences","basic-science","Fz7GOiRGEeekPQ79xWJ6-A","[NULL]"]
["1. Literacy","Basic Science: Plant Biology","Understanding Plants - Part I: What a Plant Knows","Tel Aviv University","Intermediate",17.6,4.77,"https://www.coursera.org/learn/plantknows","For centuries we have collectively marveled at plant diversity and form—from Charles Darwin’s early fascination with stems and flowers to Seymour Krelborn’s distorted doting in Little Shop of Horrors. This course intends to present an intriguing and scientifically valid look at how plants themselves experience the world—from the colors they see to the sensations they feel. Highlighting the latest research in genetics and more, we will delve into the inner lives of plants and draw parallels with the human senses to reveal that we have much more in common with sunflowers and oak trees than we may realize. We’ll learn how plants know up from down, how they know when a neighbor has been infested by a group of hungry beetles, and whether they appreciate the music you’ve been playing for them or if they’re just deaf to the sounds around them. We’ll explore definitions of memory and consciousness as they relate to plants in asking whether we can say that plants might even be aware of their surroundings. This highly interdisciplinary course meshes historical studies with cutting edge modern research and will be relevant to all humans who seek their place in nature. \\n\\nThis class has three main goals: 1. To introduce you to basic plant biology by exploring plant senses (sight, smell, hearing, touch, taste, balance). 2. To introduce you to biological research and the scientific method. 3. To get the student to question life in general and what defines us as humans.\\n\\nOnce you've taken this course, if you are interested in a more in-depth study of plants, check out my follow-up course, Fundamentals of Plant Biology (https://www.coursera.org/learn/plant-biology/home/welcome).\\n\\nIn order to receive academic credit for this course you must successfully pass the academic exam on campus. For information on how to register for the academic exam – https://tauonline.tau.ac.il/registration\\n\\nAdditionally, you can apply to certain degrees using the grades you received on the courses. Read more on this here – \\nhttps://go.tau.ac.il/b.a/mooc-acceptance\\n\\nTeachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline.tau.ac.il/online-highschool","biology; genetics; Plant Biology; healing; food science; plant; music; history; plant nutrition; ecology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44127.0,"French; Romanian; Spanish; German; Catalan; Portuguese; Hebrew; Arabic","English","life-sciences","basic-science","ucx-Hq4vEeSjoiIAC7JR4w","[NULL]"]
["1. Literacy","Chronic Disease Management","Diabetes – the Essential Facts","University of Copenhagen","Beginner",12.9,4.7,"https://www.coursera.org/learn/diabetes-essential-facts","Across the world more than 420 million people are living with diabetes. Two thirds of these have not yet been diagnosed. When discovered late or managed incorrectly, diabetes can damage your heart, blood vessels, eyes, kidneys, and nerves, leading to disability and premature death. In fact, more people are dying of diabetes related diseases than of diseases as HIV/AIDS, malaria and tuberculosis combined.\\n\\nThis course will provide you with an introduction to the most recent research in the field of prevention and treatment of diabetes as well as a broader understanding of the situation in different communities, rich and poor, across the world, where diabetes threatens public health.\\n \\nWhat kind of disease is diabetes, who has it, and who is at risk of getting it? And what are the roles of medicine, exercise and nutrition when trying to prevent, delay or treat diabetes? \\n\\nDuring the course you will meet researchers and experts from Imperial College London, Emory University in Atlanta, Steno Diabetes Center in Copenhagen as well as the School of Global Health and the Center for Basic Metabolic Research at the University of Copenhagen.\\n\\nThey work with very different aspects of diabetes, from microbiology to global public health, but what ties them together is the belief that it is a global responsibility to combat diabetes, and this fight can only be won through new knowledge and global collaboration. \\n\\nWe hope you will join us in the course and equip yourself to take part in the ongoing discussions of this truly global and individual health challenge.\\n\\nThis course is also part of the EIT Health programme.","diabetes; endocrinology; medicine; Surgery; nutrition; microbiology; biology; clinical nutrition; diet (nutrition); mindfulness","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43937.0,"German; Spanish; Danish","English","life-sciences","nutrition","-KDHP5UFEeaPOA7y0lv8VQ","[NULL]"]
["1. Literacy","Chronic Disease Management","Understanding Obesity","The University of Edinburgh","Intermediate",7.8,4.6,"https://www.coursera.org/learn/understanding-obesity","In this course, we’ll look at the facts and misconceptions around obesity and discuss key physiological and psychological concepts around the brain’s control of appetite and body weight. We’ll consider the biological and environmental pressures that make it easy to gain weight (and hard to lose it!). Most importantly, we'll give you the opportunity to reflect on your own knowledge and assumptions around the subject.\\n\\nWe deliver course materials as a mixture of videos, audio-only MOOCcasts, and a selection of short readings. There are  short weekly quizzes, a peer-reviewed exercise, and discussion activities on the forum. These will help you prepare for the final project. In it, you are invited to demonstrate your evidence-informed understanding and express how you'll develop it beyond the course.\\n\\nThe course features Citizen Science projects. We'll collect data from you (anonymously, of course) and use it to drive participant-led discussions of controversial ideas. In this way, we hope to explore ideas around diet and obesity.  These projects also give a taste of how scientific evidence is collected and interpreted by scientists, and give some indication how much there still is to discover and understand.","psychologies; physical therapy; weight loss; nutrition; food addiction; exercise physiology; scientific method; first aid; obesity; physiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"Arabic","English","life-sciences","nutrition","uiP_SfLiEeWkFQ5XCM9Arw","[NULL]"]
["1. Literacy","Chronic Disease Management","Easing the burden of obesity, diabetes and cardiovascular disease","The University of Sydney","Beginner",11.4,4.35,"https://www.coursera.org/learn/easing-the-burden-of-obesity-diabetes-cvd","This course is multidisciplinary in nature, and aims to equip the global audience of interested lay people, people with chronic disease, public health researchers, health clinicians, students, administrators, and researchers to reflect on the overall impact of the burden of chronic disease . It shows how all chronic diseases (obesity, diabetes, cardiovascular disease, chronic obstructive pulmonary disease, and cancer) are related by a set of common causes, and that such diseases should be tackled, not individually, but as part of a complex system, with interrelated contributing factors. These factors are genetic, environmental, psychological, economic, social, developmental, and media related. \\n\\nThe Charles Perkins Centre at the University of Sydney is a unique interdisciplinary education and research hub which seeks solutions to chronic disease through a complex systems approach. Academics in many disciplines (in Science and Medicine, but also in Architecture, Humanities, Law etc)  work in a collaborative fashion to produce novel solutions to the problems of chronic disease.  All contributors and participants in this course are members of the Charles Perkins Centre and will  speak from the unique interdisciplinary perspective that this Centre affords. \\n\\nThe course will describe a complex systems approach as the most productive way to ease the burden of chronic disease. It then describes  these diseases in detail, their risk factors, and the environmental and biological factors that have led to the  current epidemic of  obesity, diabetes and cardiovascular disease. Finally, the solutions – and more importantly the process for finding solutions- is the subject of the last module. No one approach by itself can ever be the answer, and certainly not a simple diet and exercise approach. \\n\\nThe entire course consists of 5 content modules, plus an extra module for completing assignments and discussions, and takes about 6 weeks to complete. Completion certificates are issued on the basis of participation in all 6 modules. \\n\\nWhat you'll learn: \\n-\\tHow the Charles Perkins Centre recruits interdisciplinary teams to ease the burden of chronic disease\\n-\\tHow a complex systems approach is necessary to provide solutions to a complex problem\\n-\\tThe fundamentals of chronic disease research and where it is heading\\n-\\tThe biggest risk factors for chronic disease and their global incidence\\n-\\tThe biological, genetic, social, regulatory, and other influences that have inflated these risk factors\\n-\\tHow to provide solutions globally for the reduction of chronic disease","diet (nutrition); diabetes; clinical nutrition; cardiovascular disease; cancer; medicine; obesity; nutrition; health; biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43997.0,"German","English","life-sciences","public-health","1AOj5h1WEeaSjBI-YFKkww","[NULL]"]
["1. Literacy","Cognitive Disease Support","Autism Spectrum Disorder","University of California, Davis","Beginner",7.1,4.54,"https://www.coursera.org/learn/autism-spectrum-disorder","Understanding the characteristics of autism spectrum disorder (ASD) and their implications for behavior, learning and the ability to process information is critical for anyone working or interacting with those on the spectrum -- educators, clinicians, counselors, therapists, medical staff, family and employers. This course will give you a fundamental understanding of what ASD is, how it is diagnosed, the primary areas of impairment, and why prevalence is increasing. \\n\\nExamine the developmental and sensori-motor differences that may impact academic, play, social and self-help skills at different stages of life, including the transition to higher education and employment. Gain a clear understanding of how sensory regulation differs for individuals on the spectrum, and explore practical tools for identifying triggers and communicating feelings.  Learn to use evidence-based practices to provide effective interventions and explore typical strengths and weaknesses of individuals on the spectrum in relation to identified impairments. \\n\\nThe course culminates with a description of the ASD system of care, an overview of the National Standards Report studies and treatments, and an explanation of how evidence-based practices are established and implemented.\\n\\nThose seeking a more in-depth, instructor-led experience are encouraged to check out the Professional Concentration in Autism offered by UC Davis Extension: https://extension.ucdavis.edu/certificate-program/professional-concentration-autism-spectrum-disorders","child; autism spectrum; autism spectrum disorder; Special Education; learning; spectrum disorder; spectrum disorders; autism; Diagnostic Evaluation; evaluation","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43929.0,"French; Spanish; Portuguese; Russian","English","life-sciences","patient-care","GMSg0yWsEeWCGRL6mLoB5w","[NULL]"]
["1. Literacy","Environmental Health","Chemicals and Health","Johns Hopkins University","Beginner",11.9,4.67,"https://www.coursera.org/learn/chemicals-health","This course covers chemicals in our environment and in our bodies and how they impact our health. It addresses policies and practices related to chemicals, particularly related to how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and their impact on our health. Most examples are drawn from the US.","medicine; environmental health; homework; Chemical Engineering; health effect; risk assessment; chemistry; biomonitoring; medicinal chemistry; food science","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44026.0,"Spanish","English","life-sciences","basic-science","K-DYpLmrEeWkwBIgnN7tuw","[NULL]"]
["1. Literacy","Gender Studies","Gender and Sexuality: Diversity and Inclusion in the Workplace","University of Pittsburgh","Intermediate",12.4,4.61,"https://www.coursera.org/learn/gender-sexuality","What is sex? What is gender? What is sexuality? What do we mean by LGBTQIA? How are these concepts related to the workplace? How have our understandings of these terms changed over time, and how have these changes impacted work and culture? To help you answer these important questions, this course will introduce you to the exciting field of gender, sexuality, and women's studies, and to LGBTQIA identities. We will use a range of interdisciplinary concepts, tools, and methods to understand and analyze how identity shapes our experiences in culture and in the workplace. Because we all live with gender expectations, this course is crucial for any profession, and for understanding the world around us. Also, you will learn key concepts that will help you to interpret and understand the world we share.","psychoanalysis; sex; sex education; lgbt; counseling; sexuality; law; sexual harassment; psychology; social work","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44027.0,"Portuguese","English","life-sciences","psychology","jg1qx1m3Eea6OBIvyzcuGw","[NULL]"]
["1. Literacy","Health and Wellness","Managing Your Health: The Role of Physical Therapy and Exercise","University of Toronto","Beginner",14.5,4.58,"https://www.coursera.org/learn/physical-therapy-exercise","Managing Your Health: The Role of Physical Therapy and Exercise will introduce learners to the concepts and benefits of physical therapy and exercise. Over six weeks learners will explore:\\nWhy physical activity and exercise are important,\\nExercise and Cardiovascular Disease,\\nExercise and Osteoporosis,\\nExercise and Cancer,\\nCommon Sports Injuries,\\nExercise and Arthritis","art therapy; physical education; health; physical activity; exercise; injuries; arthritis; physical therapy; sports; therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44033.0,"None","English","life-sciences","patient-care","W7pDpYasEeeL9BLE3sEj-g","[NULL]"]
["1. Literacy","Health and Wellness","Soul Beliefs: Causes and Consequences - Unit 3: How Does It All End?","Rutgers the State University of New Jersey","[NULL]",15.0,4.28,"https://www.coursera.org/learn/soulbeliefs3","Throughout history, the vast majority of people around the globe have believed they have, however defined, a “soul.” While the question of whether the soul exists cannot be answered by science, what we can study are the causes and consequences of various beliefs about the soul and its prospects of surviving the death of the body. Why are soul and afterlife beliefs so common in human history? Are there adaptive advantages to assuming souls exist?  Are there brain structures that have been shaped by environmental pressures that provide the foundation of body/mind dualism that is such a prominent feature of many religions? How do these beliefs shape the worldviews of different cultures and our collective lives? What is the role of competing afterlife beliefs in religion, science, politics, and war? This course explores several facets of this relatively unexplored but profoundly important aspect of human thought and behavior.\\n\\nThe course consists mainly of 70 to 80 minute lectures, typically broken up into 3 segments, recorded from a course offered by Rutgers University School of Arts and Sciences.  These videos include slides and some embedded video clips.  Most lectures are accompanied by slides used during the lecture, also including recommended reading assignment which may provide additional opportunities to reflect on your studies.\\n\\nDue to the lengthiness of this class and natural progression, the online course has been separated into 3 units, this is Unit 3.","collective consciousness; creationism; education; spirituality; psychology; freudian slip; biochemistry; neoteny; the god delusion; irreducible complexity","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44122.0,"Romanian","English","life-sciences","psychology","TN2PygiBEeW4diIACwKO-g","[NULL]"]
["1. Literacy","Health Informatics","Healthcare Data Literacy","University of California, Davis","Advanced",14.5,4.57,"https://www.coursera.org/learn/healthcare-data-literacy","This course will help lay the foundation of your healthcare data journey and provide you with knowledge and skills necessary to work in the healthcare industry as a data scientist. Healthcare is unique because it is associated with continually evolving and complex processes associated with health management and medical care. We'll learn about the many facets to consider in healthcare and determine the value and growing need for data analysts in healthcare. We'll learn about the Triple Aim and other data-enabled healthcare drivers. We'll cover different concepts and categories of healthcare data and describe how ontologies and related terms such as taxonomy and terminology organize concepts and facilitate computation. We'll discuss the common clinical representations of data in healthcare systems, including ICD-10, SNOMED, LOINC, drug vocabularies (e.g., RxNorm), and clinical data standards. We’ll discuss the various types of healthcare data and assess the complexity that occurs as you work with pulling in all the different types of data to aid in decisions. We will analyze various types and sources of healthcare data, including clinical, operational claims, and patient generated data as well as differentiate unstructured, semi-structured and structured data within health data contexts. We'll examine the inner workings of data and conceptual harmony  offer some solutions to the data integration problem by defining some important concepts, methods, and applications that are important to this domain.","health-level-7; healthcare-information; health-care; life-sciences; data-segment; health-literacy; health-data; health-informatics; data-type; data-uri-scheme","Health Information Literacy for Data Analytics",1.0,"https://www.coursera.org/specializations/healthcare-information-literacy-data-analytics","This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.","[9,16.1]","NA","English","life-sciences","health-informatics","iA2DtsfyEeinmg4faAQDzg"]
["1. Literacy","Healthcare IT","Health Care IT: Challenges and Opportunities","Icahn School of Medicine at Mount Sinai","Beginner",14.5,4.68,"https://www.coursera.org/learn/healthcare-it","A strong argument can be made that the health care field is one of the most information-intensive sectors in the U.S. economy and avoidance of the rapid advances in information technology is no longer an option. Consequently, the study of health care information technology and systems has become central to health care delivery effectiveness. This course covers the modern application of information technology that is critical to supporting the vision and operational knowledge of the health care leaders in managing the health care organization. Heath care decision-makers have to meet head-on the dynamic challenges of health care delivery quality, cost, access, and regulatory control. Additionally, this course integrates the Healthcare Information System as integral to the Quality Assurance Tracking Programs including measurement of systems inputs, processes, and outputs with special emphasis on systems outcomes research and organizational accountability to its various stakeholders, not the least of which are government regulators.","healthcare-information; health-informatics; hematology; health-care; medicine; electronic-human-resources; digital-health; history; informatics; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,17.1]","NA","English","life-sciences","healthcare-management","rWODgk58EeaSCRItpK5oLQ"]
["1. Literacy","Healthcare IT","eHealth: More than just an electronic record","The University of Sydney","Beginner",12.5,4.47,"https://www.coursera.org/learn/ehealth","The MOOC, \"eHealth: More than just an electronic record!\", is multidisciplinary in nature, and aims to equip the global audience of health clinicians, students, managers, administrators, and researchers to reflect on the overall impact of eHealth on the integration of care. It explores the breadth of technology application, current and emerging trends, and showcases both local and international eHealth practice and research. \\n\\nThe entire eHealth Course consists of 5 modules and takes about 5 weeks to complete. Completion certificates are issued on the basis of participation in all 5 modules. Completing the health practice assignment in Module 5 entitles you to advanced standing in some of the eHealth courses run by the Faculty of Health Sciences, University of Sydney.\\n\\nWhat you'll learn\\n- The fundamentals of eHealth and where it is heading\\n- What kind of health data we are currently collecting and how it will transform healthcare in the future\\n- How new technologies are helping health consumers participate in their own healthcare\\n- How eHealth can improve the coordination and efficiency of healthcare and what the barriers might be\\n\\nLength: Self-paced 5 week course\\nStudy time commitment: 3 hours per week\\nAssessable components: Assignment 1 in Module 2 (40%) and Assignment 2 in Module 5 (60%).\\n\\nGuest presenters (listed in alphabetical order):\\n* Jordan Andersen | The University of Sydney\\n* Dr Teresa Andersen | Sydney Local Health District\\n* Dr Robert Birnbaum | Harvard Medical School / Partners Healthcare\\n* Melissa Brunner | The University of Newcastle & The University of Sydney\\n* Professor Jane Burns | Young and Well Cooperative Research Centre & The University of Sydney\\n* Professor Rafael A. Calvo | The University of Sydney\\n* Dr Andrew Campbell | The University of Sydney\\n* Dr Jelle Demeestere | John Hunter Hospital, Newcastle NSW\\n* Professor Hugh Durrant-Whyte | The University of Sydney\\n* Karen Finnin | Physios Online\\n* Professor Afaf Girgis | UNSW Medicine\\n* Anna Janssen | The University of Sydney\\n* Professor Judy Kay | The University of Sydney\\t\\t\\n* Dr Melanie Keep | The University of Sydney\\t\\t\\n* A/Professor Jinman Kim | The University of Sydney\\n* Dr John Lambert | eHealth NSW\\n* Dr Melanie Keep | The University of Sydney\\n* Dr Karen Luxford | Clinical Excellence Committee NSW \\n* Michael Marthick | Chris O’Brien Lifehouse & The University of Sydney\\n* A/ Professor Mark McEntee | The University of Sydney\\n* Professor Kathryn Refshauge | The University of Sydney\\n* Dr Ursula Sansom-Daly | Sydney Children's Hospital, Prince of Wales Hospital & UNSW Medicine\\n* Dr Arran Schlosberg | The University of Sydney\\n* Professor Stephen Simpson | The University of Sydney\\n* Professor Leanne Togher | The University of Sydney\\n* Josh Zadro | The University of Sydney","electronic-health-records; mhealth; recording; telehealth; personal-health-records; electronic-health-record; personal-advertisement; electronics; e-health; ehealth","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,14.2]","NA","English","life-sciences","healthcare-management","QfsUN8O4EeS36yIAC5JMTw"]
["1. Literacy","Healthcare Management","Healthcare Delivery Providers","University of Minnesota","Beginner",21.7,4.61,"https://www.coursera.org/learn/healthcare-delivery-providers","Welcome to the exciting world of Healthcare Delivery Providers!\\n\\nThis second course in the Healthcare Marketplace Specialization will help you understand the various providers of healthcare across the U.S. delivery continuum. We will explore the unique value proposition of the various providers- from hospitals and clinics to physicians to community based providers. We will dissect this important value chain using various lenses such as- site of care delivery, people who provide the care and payers who pay for care. You will also learn about the challenges facing these providers and the innovations they are creating in order to help transform this important industry.\\n\\nI will use readings such as a case study and videos to make this learning more experiential for you, so that you can see and feel the world of healthcare delivery. I will also explain the various acronyms and specialized terms used in healthcare, so that you become more proficient and familiar with the language.\\n\\nGiven the fact that Healthcare is one of the largest industries in the U.S. and growing at an rapid pace, it is critical that current and future leaders understand the internal and external drivers that are shaping this industry. Current and future leaders will need to constantly innovate in order to sustain this industry into the future- by creating value for the end customer and the entire population, as well as increasing engagement of the humans who work within this industry.\\n\\nGet ready to take a deep dive into the complex ocean that is U.S. healthcare delivery- and make sure your oxygen tank is securely fastened!","proposition; organizing-management; innovation; ecosystems; healthcare-delivery-systems; physician; health-care; publicly-funded-health-care; funds; physicians","Healthcare Marketplace",2.0,"https://www.coursera.org/specializations/healthcare-marketplace","The first course, Healthcare Marketplace Overview, covers all of the major sub-sectors of the healthcare industry including the physician, hospital, insurer and medical technology markets, including a historical perspective. The second course, Healthcare Delivery Providers, takes an in-depth look at the system of healthcare delivery and the transformations occurring to improve the health of populations and communities. The third course,Pharmaceutical and Medical Device Innovations, gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. The fourth course, Medical Technology and Evaluation, explains how cost-effectiveness analysis is used in the healthcare market to put a monetary value on a life saved through a new innovation.\\n\\nThe Capstone brings together key skills engendered from the four courses to create an original medical innovation valuation. The first course teaches the learner to size a population or market. The second course explores whether the healthcare delivery system and the clinicians will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course teaches how to put a monetary value on the improvement in health resulting from a new innovation. In this way, the suite of four courses supports the capstone experience.","[14.4,25.8]","NA","English","business","finance","X9NQX3HtEeWi0g6YoSAL-w"]
["1. Literacy","Healthcare Management","Healthcare Organizations and the Health System","Rutgers the State University of New Jersey","Intermediate",10.6,4.72,"https://www.coursera.org/learn/healthcare-organizations-health-system","Have you ever been in a healthcare waiting room and thought about how the organization could be more efficient?  For example, have you found yourself thinking about how to reduce the amount of time spent waiting?  Or do you work in a healthcare organization and find yourself thinking about how to improve the organization?  If you have, this course is for you.  Course content includes an overview of healthcare organizations, their administration and management, and their governance.  \\n\\nThe course provides links to external sites to connect you to the larger \"real world\" of healthcare organizations.  The links also serve as resources you can take with you after you complete the course experience.  And because everyone loves a road trip/field trip, there are also \"virtual field trips\" to the often hidden places of interest on the web.\\n\\nThe course format is readings, videos, quizzes, and an electronic poster project.  The poster project requires you to synthesize course material to design a healthcare organization and governance structure the way you would have things run in the best of all worlds.  The electronic poster file is an artifact of the course which you can circulate to colleagues or use for a talk or presentation event.","health-system; corporate-governance; management; healthcare-management; operations-management; health-care; medical-writing; health-administration","Healthcare Organization Operations",1.0,"https://www.coursera.org/specializations/healthcare-organization-operations","The healthcare tetralogy specialization is intended for anyone interested in healthcare organization as practiced in the United States. A range of healthcare organizations are discussed (e.g., medical, dental, pharmaceutical, and public health). The specialization is particularly useful to anyone working in the healthcare industry who either has: 1) a developing interest in the issues important to the administration of healthcare organization operations; or 2) some expertise, but wishes an overview or refresher of the issues. However, those who do not work in the healthcare industry, but who interact with healthcare organizations of any type as patients/consumers will also find the specialization informative. Through the four courses in the specialization, you will cover many aspects of healthcare organization operations including the relationship between healthcare organizations and the health system as well as health care delivery, business process management, and quality improvement within healthcare organizations. Upon completion of the specialization, those who interact with healthcare organizations as patients/consumers will have a better understanding of the issues involved in the effective administration of healthcare organizations and operations. Those working in the healthcare industry, upon completion of the specialization, will be better able to contribute to the effective administration of the healthcare organization’s operations.","[5,13.4]","NA","English","life-sciences","healthcare-management","6Q8IFxgbEei-DRJc5RbeSA"]
["1. Literacy","Healthcare Management","Health Care Delivery in Healthcare Organizations","Rutgers the State University of New Jersey","Beginner",8.1,4.5,"https://www.coursera.org/learn/healthcare-delivery-in-healthcare-organizations","Have you ever needed health care and thought that there must be better ways to get or deliver health care? For example, have you found yourself thinking that there should be a way to get a diagnostic test or treatment at home? Or do you work in a healthcare organization and find yourself thinking that there must be better ways to deliver health care? If you have, this course is for you. Course content includes an overview of health care delivery including healthcare consumerism, the patient's perspective, health care delivery for sickness and treatment, as well as health care delivery for health and wellness. The course provides links to external sites to connect you to the larger \"real world\" of healthcare organizations and health care delivery. The links also serve as resources you can take with you after you complete the course experience. And because everyone loves a road trip/field trip, there are also \"virtual field trips\" to the often hidden places of interest on the web. The course format is readings, videos, quizzes, and a brief electronic PowerPoint presentation project (PowerPoint only - no oral presentation). The PowerPoint project requires you to synthesize course material to design a patient-centered health care delivery system the way you would have things run in the best of all worlds. The electronic PowerPoint presentation file is an artifact of the course which you can circulate to colleagues or use for a talk or presentation event.","NA","Healthcare Organization Operations",2.0,"https://www.coursera.org/specializations/healthcare-organization-operations","The healthcare tetralogy specialization is intended for anyone interested in healthcare organization as practiced in the United States. A range of healthcare organizations are discussed (e.g., medical, dental, pharmaceutical, and public health). The specialization is particularly useful to anyone working in the healthcare industry who either has: 1) a developing interest in the issues important to the administration of healthcare organization operations; or 2) some expertise, but wishes an overview or refresher of the issues. However, those who do not work in the healthcare industry, but who interact with healthcare organizations of any type as patients/consumers will also find the specialization informative. Through the four courses in the specialization, you will cover many aspects of healthcare organization operations including the relationship between healthcare organizations and the health system as well as health care delivery, business process management, and quality improvement within healthcare organizations. Upon completion of the specialization, those who interact with healthcare organizations as patients/consumers will have a better understanding of the issues involved in the effective administration of healthcare organizations and operations. Those working in the healthcare industry, upon completion of the specialization, will be better able to contribute to the effective administration of the healthcare organization’s operations.","[3.7,10.3]","NA","English","life-sciences","healthcare-management","uewcIUwLEeij9g4nuhTNQA"]
["1. Literacy","Healthcare Management","The Science of Health Care Delivery","Arizona State University","Beginner",2.0,4.64,"https://www.coursera.org/learn/science-healthcare-delivery","The Mayo Clinic and Arizona State University Alliance for Health Care has developed innovative Science of Health Care Delivery training programs which introduce scientific approaches to quality improvement for patient care and population health, while also examining ways to reduce health costs. The full training, which explores key concepts in the Science of Health Care Delivery and why it is critically important to future patient care, can be used by health care professionals or as curriculum for aspiring care providers.\\n \\nBy the end of this introductory course, learners will recognize the how education in the Science of Health Care Delivery can improve and enhance the quality of provider care, health care systems and patient health. The overview course consists of a multimedia introduction to Science of Health Care Delivery domains, followed by video segments where learners meet a patient and caregivers who embody or apply new knowledge, skills and attitudes learned from the Science of Health Care Delivery. An expert reflection after each video presentation reinforces the domain’s concepts. Learners can seek more information into this dynamic field with the additional resources provided at the end of the course.","physician; healthcare-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.3,2.4]","NA","English","life-sciences","healthcare-management","UUkwAtaZEea7lQ7A_W1MbA"]
["1. Literacy","Integrative Medicine","Everyday Chinese Medicine","The Chinese University of Hong Kong","Beginner",9.0,4.71,"https://www.coursera.org/learn/everyday-chinese-medicine","This course aims to serve as an education platform on Chinese medicine (CM) for the general public. Our primary goal is to empower healthcare choices by promoting awareness and practical application on CM diagnostic and therapeutic approaches, as well as regulation on CM services and herbal products using international examples.\\n\\nIn the first part of this course, learners will develop skills in applying basic theory of Chinese medicine (CM) for understanding health and illnesses, and be able to compare and contrast views from Chinese and western medicine perspectives. In the second part, learners will be able to diagnose their own CM body constitution, and to apply appropriate CM self-care practice including food therapy, acupressure, Baduanjin and meditation. Learners will also be able to identify commonly used Chinese herbs, and to describe the core principle of acupuncture. \\n\\nSpecific competencies include: \\n\\n1. State the basic theory of Chinese medicine and compare it with the principle of western medicine.\\n2. Apply the diagnostic approach of Chinese medicine and describe one’s body constitution. \\n3. Describe the core principle of Chinese herbs and acupuncture, and to understand their role in promoting health and wellness.\\n4. Develop self-care plan according to body constitution, using the practice of food therapy, acupressure, and Baduanjin.","body fluids; blood; medicine; inquiry; chinese language; art therapy; palpation; disease; Chinese Medicine; human error assessment and reduction technique","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43931.0,"None","English","life-sciences","basic-science","m3M_QRdcEeaEIQq1FSQEZQ","[NULL]"]
["1. Literacy","Medical Device and Biotech","Pharmaceutical and Medical Device Innovations","University of Minnesota","Beginner",10.5,4.42,"https://www.coursera.org/learn/pharma-medical-device-innovations","This course in the Healthcare Marketplace specialization gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies.  Included is an understanding of the strategy deployed for pricing drugs and new technologies as well as the market sizing exercise to identify where future research and development investments should be made.","drug; marketing; medical-device; drugs; market-economics; pharmaceutical-marketing; innovation; medical-devices; management; integration-testing","Healthcare Marketplace",3.0,"https://www.coursera.org/specializations/healthcare-marketplace","The first course, Healthcare Marketplace Overview, covers all of the major sub-sectors of the healthcare industry including the physician, hospital, insurer and medical technology markets, including a historical perspective. The second course, Healthcare Delivery Providers, takes an in-depth look at the system of healthcare delivery and the transformations occurring to improve the health of populations and communities. The third course,Pharmaceutical and Medical Device Innovations, gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. The fourth course, Medical Technology and Evaluation, explains how cost-effectiveness analysis is used in the healthcare market to put a monetary value on a life saved through a new innovation.\\n\\nThe Capstone brings together key skills engendered from the four courses to create an original medical innovation valuation. The first course teaches the learner to size a population or market. The second course explores whether the healthcare delivery system and the clinicians will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course teaches how to put a monetary value on the improvement in health resulting from a new innovation. In this way, the suite of four courses supports the capstone experience.","[6.6,12.6]","Spanish","English","business","finance","HcZv2HHtEeWrAxJQXw-8PQ"]
["1. Literacy","Medical Device and Biotech","Drug Development","University of California San Diego","Beginner",14.9,4.53,"https://www.coursera.org/learn/drug-development","The University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences Drug Development course brings you lectures from both faculty and industry experts.   With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug development.  \\n\\nIn this course you will learn the different stages of clinical development as well as the regulatory including but not limited to, an Investigational New Drug Application (IND), New Drug Application (NDA), and product labeling.  Additionally you will learn how to Incorporate study design methods for consideration in the design of clinical protocols to assess safety, tolerability, and efficacy in multiple therapeutic areas.\\n\\nIn this course you will learn the different phases of clinical development:\\n\\n* Phase 1 or early stage clinical trial are conducted primar­ily to determine how the new drug works in humans, its safety profile and to predict its dosage range.  It typically involves between 30 and 100 healthy volunteers.\\n\\n* Phase 2 or Proof of Concept POC studies test for efficacy as well as safety and side effects in a group of between 30  to 200 hundred  patients with  the disease for which the new drug is being developed.\\n\\n* Phase 3 or late stage clinical development involve much larger group of patients, between a few hundred to thousands, depending on the indication, which will  help  determine if the new drug can be considered both safe and effective.  It will involve control groups using placebo and/or current treatment as a comparison.\\n\\n* Product registration and approval process after a drug is considered safe and effective from Phase 3 trials, it must be authorized in each individual country before  it can  be  marketed. All data gen­erated about the small molecule or biologic is collected  and  submitted to the regulatory authorities in the US at the FDA, Food and Drug Administration FDA, in Europe the EMA or European Medicines Agency, Japan Ministry of Health and other countries which may require their own national  approvals.\\n\\nThis course is intended as part 2 of a series: Drug Discovery (https://www.coursera.org/learn/drug-discovery), Drug Development and Drug Commercialization (https://www.coursera.org/learn/drug-commercialization).  We would highly recommend that you take the courses in order since it will give you a better understanding on how a drug is discovered in the lab before being tested in clinical trials and then launched in the market place.","drugs; clinical-trials; trial-design; affair; drug-regulatory-affairs; clinical-research; regulatory-affairs; clinical-trial; drug; drug-development","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,20.8]","NA","English","life-sciences","research","pW_Of3vUEeaCZBIelfdoiQ"]
["1. Literacy","Medical Device and Biotech","Industrial Biotechnology","University of Manchester","Beginner",15.9,4.54,"https://www.coursera.org/learn/industrial-biotech","Fossil fuels have been the primary energy source for society since the Industrial Revolution. They provide the raw material for the manufacture of many everyday products that we take for granted, including pharmaceuticals, food and drink, materials, plastics and personal care.  \\nAs the 21st century progresses we need solutions for the manufacture of chemicals that are smarter, more predictable and more sustainable.  \\n\\nIndustrial biotechnology is changing how we manufacture chemicals and materials, as well as providing us with a source of renewable energy.   It is at the core of sustainable manufacturing processes and an attractive alternative to traditional manufacturing technologies to commercially advance and transform priority industrial sectors yielding more and more viable solutions for our environment in the form of new chemicals, new materials and bioenergy.  \\n\\nThis course will cover the key enabling technologies that underpin biotechnology research including enzyme discovery and engineering, systems and synthetic biology and biochemical and process engineering.  Much of this material will be delivered through lectures to ensure that you have a solid foundation in these key areas.   We will also consider the wider issues involved in sustainable manufacturing including responsible research innovation and bioethics. \\n\\nIn the second part of the course we will look at how these technologies translate into real world applications which benefit society and impact our everyday lives.  This will include input from our industry stakeholders and collaborators working in the pharmaceutical, chemicals and biofuels industries.\\n\\nBy the end of this course you will be able to: \\n\\n1.\\tUnderstand enzymatic function and catalysis.\\n2.\\tExplain the technologies and methodologies underpinning systems and synthetic biology.\\n3.\\tExplain the diversity of synthetic biology application and discuss the different ethical and regulatory/governance challenges involved in this research.\\n4.\\tUnderstand the principles and role of bioprocessing and biochemical engineering in industrial biotechnology.\\n5.\\tHave an informed discussion of the key enabling technologies underpinning research in industrial biotechnology \\n6.\\tGive examples of industrial biotechnology products and processes and their application in healthcare, agriculture, fine chemicals, energy and the environment.","biomanufacturing; biopharmaceutical; genome; fermentation; biomaterials; agriculture; biology; enzyme; synthetic biology; biotechnology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44093.0,"None","English","life-sciences","basic-science","Ffu_H13iEeWozxKwtAxdTQ","[NULL]"]
["1. Literacy","Medical Education","Clinical Terminology for International and U.S. Students","University of Pittsburgh","Beginner",15.7,4.76,"https://www.coursera.org/learn/clinical-terminology","Understanding the clinical terms and abbreviations commonly used during verbal or written communication in U.S. hospitals is challenging. This course is designed for U.S. health care profession students and for international students and practitioners who want to become more familiar with the language of the U.S. clinical setting.  Others, such as caregivers and medical interpreters, who wish to develop a better understanding of terms and abbreviations used by health care providers will find this course helpful. The course provides visual and auditory learning experiences to enhance the understanding of terms and abbreviations commonly encountered on a general U.S. hospital unit. All content including quizzes are available at no cost to the learner. If you need a certificate, you can apply for financial aid or pay the fee. To find out more, click Learn more and apply next to the information about Financial Aid. (Use a computer, not a mobile device, for this step.)","communication; medical device; Clinical Experience; learning; language; medical terminology; english language; experience; medical devices; vital signs","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44032.0,"Arabic","English","life-sciences","patient-care","6yVj1ucPEeWxKxKZYzDvkw","[NULL]"]
["1. Literacy","Medical Education","Dentistry 101","University of Michigan","Advanced",35.2,4.75,"https://www.coursera.org/learn/dentistry101","Dentistry 101 is an introduction to the exciting and diverse field of dentistry through the lens of its many practitioners. If you’re interested in exploring dentistry as a profession, or if you’re ready to pursue a career in it and want to prepare yourself for dental school and the profession that lies ahead, Dentistry 101 will help you better envision the paths you can take.\\n\\nIf you complete Dentistry 101, you'll have a well-rounded introductory understanding of the field of dentistry, and you'll get glimpses of the profession that aren't always easily available. You'll also be better informed about, and more prepared for, the dental school admissions process if you choose to pursue it.","veterinary professions; endodontics; digital dentistry; veterinary medicine; orthodontics; veterinary surgery; dental implant; dentistry; dentist; dental assistant","Non Specialization","Non Specialization","Non Specialization","Non Specialization","11, 54","None","English","life-sciences","patient-care","VYS0Tv1jEeiCEQrnyjDZDA","[NULL]"]
["1. Literacy","Medical Education","Career 911: Your Future Job in Medicine and Healthcare","Northwestern University","[NULL]",17.1,4.32,"https://www.coursera.org/learn/healthcarejobs","This course aims to help high school students, recent graduates, and those considering career transitions explore health care career options and learn strategies for entry into the health care workforce and health related fields.\\n\\nThere are lots of amazing job opportunities in medicine and healthcare! Join us, as we share the strategies and secrets for getting those jobs. This course will introduce you to healthcare professions, help you map a path towards a health career, and impart skills relevant for any career, including: articulating your personal story, resume and cover letter writing, job search, interviewing, professional networking, and professional communications. In this course, you will hear the personal stories, experiences, and journeys of dozens of people who work in health related careers. You will also have the opportunity to connect with a supportive community of students, mentors, and health care professionals to explore your interests, find resources, and discover exciting new opportunities.\\n\\nThe course features more than 50 different guests and lecturers, including Northwestern University faculty from Feinberg School of Medicine; the Kellogg School of Management; the Medill School of Journalism, Media, Integrated Marketing Communications; the School of Professional Studies; Weinberg College of Arts and Sciences; and the School of Communication.\\n\\nThe course is also a resource and tool through which educators, parents, career counselors and others can support students’ career readiness and professional advancement.","Medical Billing; pharmacy; medical terminology; biomedical engineering; medical writing; medicine; nursing; health; biochemistry; midwifery","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44096.0,"None","English","life-sciences","patient-care","45-ESs9VEeWu4RLrx6VBYw","[NULL]"]
["1. Literacy","Mental Health","Positive Psychiatry and Mental Health","The University of Sydney","Intermediate",20.6,4.73,"https://www.coursera.org/learn/positive-psychiatry","In today’s world, mental illness and distress are common and these account for a significant burden of disability within our community. At the same time, there is a growing interest in understanding and enhancing positive mental health and wellbeing; particularly from developments in the fields of positive psychology and mental health promotion.  Positive Psychiatry is a new term (Jeste et al 2016) that describes a dual approach to mental health, where we build strengths,  supports and healthy lifestyles as well as treating illness and distress.\\n \\nIn this course, we will explore different aspects of good mental health as well as provide an overview of the major kinds of mental disorders, their causes, treatments and how to seek help and support.  The course will feature a large number of Australian experts in psychiatry, psychology and mental health research,  and we will also hear from “lived experience experts”, people who have lived with mental illness, and share their personal stories of recovery. \\n\\nWe take an evidence-based approach to a range of strategies that anyone can use to enhance their own mental health and that of others, from exercise and relaxation techniques through to the role of love, relationships and 'good' types of work. We cover topics from creativity and yoga through to psychiatric medications and psychotherapies.","anxiety; psychologies; Mental Illness; psychology; mindfulness; mental health; psychiatry; mental disorder; exercise; stress","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44189.0,"Spanish","English","life-sciences","basic-science","CRZJ8GykEeWbyw5d8C-Blw","[NULL]"]
["1. Literacy","Mental Health","Schizophrenia","Wesleyan University","Beginner",8.2,4.72,"https://www.coursera.org/learn/schizophrenia","The main goal of this class are to gain an introductory exposure to the nature of the psychiatric disorder known as schizophrenia as revealed by the scientific method. We will discuss a broad range of findings from the scientific investigation of biological and psychological factors related to schizophrenia and its treatment. More specifically we will learn about: (1)  key symptomatic features through discussion and enactments of interviews with actors portraying many of the cardinal features of the illness, (2) what brain imaging studies (MRI and fMRI) and neurochemistry have taught us about the neuroscience of the disorder, (3) scientific psychological data and theories concerning cognition, emotion and behavior in schizophrenia, and (4) current, evidence-based somatic and psychosocial approaches to treatment. A brief historical overview of the recent emergence of the psychiatric category of schizophrenia will be presented as well.","psychotherapy; history; schizophrenia; psychology; clinical psychology; psychosis; biology; psychologies; symptoms; psychiatric and mental health nursing","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"None","English","life-sciences","psychology","grRYIubyEeaVLRKoA_hS8A","[NULL]"]
["1. Literacy","Patient Care","Materials in Oral Health","The University of Hong Kong","Intermediate",25.4,4.66,"https://www.coursera.org/learn/materials-oral-health","The drive for development of new and novel oral biomaterials has never been more important with many people using oral biomaterials today and seeing their benefits in restoring and improving their oral health for a more enjoyable lifestyle. The unique properties of biomaterials such as titanium (Ti), zirconia (ZrO2) and various polymeric materials have made them materials of choice in oral health: dental implants, oral and maxillofacial surgery, and even regenerative medicine. Oral biomaterials research today is an exciting and intensive multidisciplinary area that encompasses contributions from a wide range of fields from professional dentistry to biology, chemistry, physics, material science, and engineering. \\n\\nMaterials in Oral Health is a FREE 4-week course open to all interested learners. In the course, you will learn about the special properties and benefits of biomaterials including, titanium and titanium alloys, zirconia and other alloys, ceramics, and modern composites. You will gain insights of the practical use of these biomaterials in different aspects of dentistry and clinical implications. You will realize how contemporary dentistry is about unifying synthetic materials to living tooth and bone tissues. You will get in touch with the crucial roles of digital dentistry and learn about CAD/CAM technology in crown fabrication, 3D printing and digital orthodontics. And lastly, you will be introduced to procedures and testing methods used to test significant mechanical properties of biomaterials in the research laboratory. \\n\\nWe cordially invite those of you who wish to make a difference in tomorrow’s dental materials and oral health development to join us in the 4-week journey in Materials in Oral Health.\\n\\nYou can get recognition for completion of the course by obtaining a Course Certificate. You can refer to details on: https://learner.coursera.help/hc/en-us/articles/208280196","digital dentistry; dentistry; dental implant; dental materials; materials; endodontics; dental material; 3D Printing; biomaterials; orthodontics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","5, 46","Chinese","English","life-sciences","basic-science","wP6bopzUEeaF3g7NeAQepg","[NULL]"]
["1. Literacy","Patient Care","Introduction to Breast Cancer","Yale University","Advanced",17.2,4.9,"https://www.coursera.org/learn/breast-cancer-causes-prevention","Welcome to an Introduction to Breast Cancer!  In this course, we’ll learn a bit about the leading cause of cancer in women worldwide – from the basic biology of the disease, to risk factors and prevention, to treatment modalities to survivorship.  We’ll talk to leading experts, explore some of the milestone studies that have pushed this field forward, and have interactive discussions on discussion boards and social media.  You’ll even have an opportunity to let us know what topics you want to cover on tweetchats, so we can try to make the content fit your interests.  \\n\\nThere is something in this course for everyone – if you’re a breast cancer survivor or the friend/family member of someone with this disease, this course will help you to better understand this disease, and give you ideas for questions you may want to ask your doctor.  Maybe you’re a healthcare provider or studying to be the same, this course is a great refresher on where the state of the science is.  If you’re a healthcare administrator wondering about how the interdisciplinary components of breast cancer care fit together, or an entrepreneur thinking about unmet needs in this space, or someone in public health interested in prevention, this course is also for you!\\n\\nAre you ready to learn a lot, and have some fun while we’re at it?  If so, I hope you’ll join us!  Let’s get started!!!","genetics; Surgery; cancer; Cancer Biology; breast; pathology; chemotherapy; histology; breast cancer; oncology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44094.0,"None","English","life-sciences","basic-science","YUAc977OEeWk7gqXCJNO4w","[NULL]"]
["1. Literacy","Patient Care","Case Studies in Personalized Medicine","Vanderbilt University","Beginner",15.9,4.83,"https://www.coursera.org/learn/personalizedmed","Learn how advances in biomedicine hold the potential to revolutionize drug development, drug treatments, and disease prevention: where are we now, and what does the future hold? This course will present short primers in genetics and mechanisms underlying variability in drug responses. A series of case studies will be used to illustrate principles of how genetics are being brought to bear on refining diagnoses and on personalizing treatment in rare and common diseases. The ethical and operational issues around how to implement large scale genomic sequencing in clinical practice will be addressed. \\n\\nAfter completing this course, learners will understand\\n1. The ways in which genetic variants can contribute to human disease susceptibility\\n2. How to choose among drug therapies based on genetic factors  \\n3. That the functional consequences of the vast majority of genetic variants discovered by modern sequencing are unknown.\\n\\nThis course is targeted primarily at physicians 5+ years out of training. Other healthcare providers, medical/health sciences students, and members of the public may also be interested. \\n\\nCourse launches January 15, 2016.\\n\\n* The information presented in “Case Studies in Personalized Medicine” is offered for educational and informational purposes only, and should not be construed as personal medical advice. If you have questions or concerns about a medical matter, please consult your doctor or other professional healthcare provider.","drugs; pharmacogenomics; personalized-medicine; integration-testing; genetics; medicine; biology; pharmacogenetics; personalization; drug","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,18.2]","NA","English","life-sciences","patient-care","p6GNi4gDEeW0iQ6RUMSWEQ"]
["1. Literacy","Patient Care","Ebola: Essential Knowledge for Health Professionals","University of Amsterdam","[NULL]",11.6,4.59,"https://www.coursera.org/learn/ebola-essentials-for-health-professionals","March 2014 marked the starting point of the largest outbreak of Ebola virus disease in history. Although the disease seems to be on a decrease, we are not there yet and new outbreaks will surely emerge. New efforts to combat the outbreak are necessary. This is why we developed this online course about Ebola, targeted at health professionals across the world.\\n\\nIn this course you will cover the fundamental knowledge any health professional should have with expected or confirmed cases or a general interest in the Ebola disease. You will discuss the epidemiology of the disease, its  pathophysiology and transmission, the clinical presentation including differential diagnosis and confirmation of disease. You will also discuss the general therapeutic approach to the care of Ebola suspected or confirmed patients and discuss the novel vaccine and drug developments.\\n\\nAs the Ebola crisis continues to rage through the affected areas, we need health professionals like yourself to be informed and involved.\\n\\nThis course is developed in collaboration with colleagues at the University of Amsterdam, the University Medical Center Utrecht (Julius Center/Julius Global Health), Elevate Health, Médecins Sans Frontières and the Lion Heart Foundation.","ebola; Chinese Medicine; ebola virus disease; drug development; epidemiology; Vaccine Development; medicine; reston virus; health; zaire ebolavirus","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43995.0,"Indonesian; Kannada; Greek; Turkish; Chinese; German; Arabic","English","life-sciences","patient-care","-ufScs8fEeSS_CIACzcAUg","[NULL]"]
["1. Literacy","Patient Care","Myocardial Infarction","University of Zurich","Intermediate",10.9,4.79,"https://www.coursera.org/learn/infarction","Cardiovascular diseases are – according to the (World Health Organization (WHO) – the number one cause of death globally. Myocardial infarction (heart attack) is the most prominent under the Cardiovascular diseases. In Switzerland alone, the risk to develop a coronary heart disease during life time is around 25% for men and 18% for women.\\n\\nMost cardiovascular diseases can be prevented by addressing behavioral risk factors, the understanding of these risk factors, their mechanisms and impact on the cardiovascular system.\\n\\nIn this context our course aims to approach the complex field of myocardial infarction in two respects: medical education and awareness of a broader audience.","heart failure; myocardial infarction; cardiovascular disease; cardiology; human error assessment and reduction technique; radiology; internal medicine; physical therapy; failure; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43965.0,"None","English","life-sciences","patient-care","sKQ7OcgvEeaJkg7pIEY8tA","[NULL]"]
["1. Literacy","Patient Care","AIDS: Fear and Hope","University of Michigan","[NULL]",19.1,4.8,"https://www.coursera.org/learn/aids-fear-hope","The basic biology of the virus, HIV, and the disease it causes, AIDS.  The economic, social and political factors that determine who gets sick and who remains healthy, who lives and who dies.  The progress of scientific research and medical treatments.  The reasons for hope; the reasons for fear.  (To get a glimpse of some of the materials that students have been posting on the course forums, go to @AIDSFAH or #AIDSFAH.)","window period; lgbt; immunology; anal sex; medical case management; hiv/aids; hiv; Casual Contact Precautions; larry kramer; condom fatigue","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44157.0,"Dutch","English","life-sciences","patient-care","pD1uvzvKEeWjyxInT4zYJQ","[NULL]"]
["1. Literacy","Patient Care","Dermatology: Trip to skin","Novosibirsk State University","Intermediate",18.0,4.51,"https://www.coursera.org/learn/dermatology","We invite you to the amazing trip to the skin.\\n\\nYou will learn about the structure and functions of your skin, how does it change and interact with the environment. In our course, we will talk about different skin diseases, as well as how to treat them.\\n\\nThis course will be interesting not only for people from the medical field but also for those who are interested in their health and their skin. Let's take a trip to the skin together!","ageing; health; appendage; hematology; disease; dermatology; public health; psoriasis; adverse effect; skin care","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44098.0,"None","English","life-sciences","public-health","IEp422vJEeimNRLd2CSADA","[NULL]"]
["1. Literacy","Population Health Management","Bridging healthcare and society","National Research Tomsk State University","Advanced",11.3,5.0,"https://www.coursera.org/learn/healthcare-and-society","In contemporary societies healthcare is a key social institute that addresses the issues of maintenance and improvement of citizens’ health. While population health is largely produced outside of healthcare settings themselves, the functioning of healthcare, including diagnosis, treatment, and prevention of illness, injury, and other impairments, is essential for people’s wellbeing. Yet, healthcare can be and often is insufficiently accessible, responsive, and efficient for different members of society. How can healthcare provision and society be bridged?\\nThrough the exploration of a combination of theoretical and practical perspectives, this online course highlights the necessity of a dialogue and collaboration between healthcare professionals, patients, and the public at large. Course participants will critically explore challenges posed by disjunctures between healthcare and society, analyze both benefits and unintended consequences of bridging the two, and propose ways to accomplish the bridging in practice of healthcare provision.\\n\\nAfter completion of this course you will be able to:\\n\\n1.\\tRecognize disjunctures between healthcare provision and society\\n2.\\tBe aware of consequences of disjunctures between healthcare provision and society\\n3.\\tIdentify opportunities for bridging healthcare provision and society, using a biosocial approach to health\\n4.\\tAnalyze cases of disjunctures between healthcare provision and society, and propose opportunities for bridging\\n5.\\tRecognize the historical trends of scientification, professionalization, and medicalization, in the relations between medicine, health care, and society.\\n\\nThis course was developed by a consortium of five universities: Maastricht University, National Research Tomsk State University, National University of \"Kyiv-Mohyla Academy\",  National Pirogov Memorial Medical University, Vinnytsya, and Siberian State Medical University within the framework of BIHSENA project. BIHSENA stands for “Bridging Innovations, Health and Societies: Educational capacity building in the Eastern European Neighbouring Areas”. BIHSENA project has been funded with support from the European Commission. This course reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.","health scare; law; Medical Practice; authority; medicalization; conceptual change; alternative medicine; history of medicine; patient; canning","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43936.0,"None","English","life-sciences","public-health","pv-9jU9hEei8eRLabPXArA","[NULL]"]
["1. Literacy","Psychology","Introduction to Psychology","University of Toronto","Intermediate",32.4,4.85,"https://www.coursera.org/learn/introduction-psych","This course will highlight the most interesting experiments within the field of psychology, discussing the implications of those studies for our understanding of the human mind and human behavior.  We will explore the brain and some of the cognitive abilities it supports like memory, learning, attention, perception and consciousness.  We will examine human development - both in terms of growing up and growing old - and will discuss the manner in which the behavior of others affect our own thoughts and behavior.  Finally we will discuss various forms of mental illness and the treatments that are used to help those who suffer from them.   \\n\\nThe fact of the matter is that humans routinely do amazing things without appreciating how interesting they are.  However, we are also routinely influenced by people and events without always being aware of those influences.  By the end of this course you will have gained a much better understanding and appreciation of who you are and how you work.  And I can guarantee you that you'll learn things that you'll be telling your friends and family about, things that will fundamentally change the way you think of yourself and others.  How can you resist that?!","behavior; learning; therapy; psychology; psychologies; Mental Illness; Psychological Problems; Social Psychology; Psychological Issues; clinical psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22, 39","Spanish","English","life-sciences","psychology","WIhvslYxEeSFRiIACycBKQ","[NULL]"]
["1. Literacy","Psychology","Understanding Memory: Explaining the Psychology of Memory through Movies","Wesleyan University","Beginner",9.6,4.64,"https://www.coursera.org/learn/memory-and-movies","Welcome to Understanding Memory. Someone once said that memory is fascinating because sometimes we forget what we want to remember, sometimes we remember what we want to forget, and sometimes we remember events that never happened or never happened the way we remember them. I want to show you how memory works, why it sometimes fails, and what we can do to enhance it. Based on my recent book – Memory and Movies: What Films Can Teach Us About Memory (MIT Press, 2015) – I will provide an introduction to the scientific study of human memory by focusing on a select group of topics that hold widespread appeal. \\n\\nTo facilitate your understanding, I will use clips from numerous films to illustrate different aspects of memory – describing what has been learned about memory in a nontechnical way for people with no prior background in psychology. Many of us love watching movies because they offer an unparalleled opportunity for entertainment, even if entertaining films are not always scientifically accurate. Still, I believe that we can learn a lot about memory from popular films, if we watch them with an educated eye. Welcome once more. I am looking forward to showing you what movies can teach us about memory.\\n\\nJohn Seamon\\n\\nProfessor of Psychology Emeritus\\n\\nWesleyan University","dementia; film; psychologies; ageing; euler's totient function; memory; psychology; film studies; learning; well","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43993.0,"Chinese; Hungarian; Korean; Greek; Spanish; Catalan","English","life-sciences","psychology","z2uvwHGtEeWLqw7zlLhRzQ","[NULL]"]
["1. Literacy","Psychology","Buddhism and Modern Psychology","Princeton University","[NULL]",17.8,4.78,"https://www.coursera.org/learn/science-of-meditation","The Dalai Lama has said that Buddhism and science are deeply compatible and has encouraged Western scholars to critically examine both the meditative practice and Buddhist ideas about the human mind. A number of scientists and philosophers have taken up this challenge. There have been brain scans of meditators and philosophical examinations of Buddhist doctrines. There have even been discussions of Darwin and the Buddha: Do early Buddhist descriptions of the mind, and of the human condition, make particular sense in light of evolutionary psychology? \\n\\nThis course will examine how Buddhism is faring under this scrutiny. Are neuroscientists starting to understand how meditation “works”? Would such an understanding validate meditation—or might physical explanations of meditation undermine the spiritual significance attributed to it? And how are some of the basic Buddhist claims about the human mind holding up? We’ll pay special attention to some highly counterintuitive doctrines: that the self doesn’t exist, and that much of perceived reality is in some sense illusory. Do these claims, radical as they sound, make a certain kind of sense in light of modern psychology? And what are the implications of all this for how we should live our lives? Can meditation make us not just happier, but better people?\\n\\nAll the features of this course are available for free. It does not offer a certificate upon completion.","spirituality; buddhism and psychology; psychologies; philosophy; meditation; learning; mindfulness (psychology); mindfulness; psychology; evolutionary psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13, 21","Hungarian; Spanish","English","life-sciences","psychology","JdB92adFEeS5zCIAC8pMPA","[NULL]"]
["1. Literacy","Psychology","Introduction to Psychology","University of Toronto","Intermediate",32.4,4.85,"https://www.coursera.org/learn/introduction-psych","This course will highlight the most interesting experiments within the field of psychology, discussing the implications of those studies for our understanding of the human mind and human behavior.  We will explore the brain and some of the cognitive abilities it supports like memory, learning, attention, perception and consciousness.  We will examine human development - both in terms of growing up and growing old - and will discuss the manner in which the behavior of others affect our own thoughts and behavior.  Finally we will discuss various forms of mental illness and the treatments that are used to help those who suffer from them.   \\n\\nThe fact of the matter is that humans routinely do amazing things without appreciating how interesting they are.  However, we are also routinely influenced by people and events without always being aware of those influences.  By the end of this course you will have gained a much better understanding and appreciation of who you are and how you work.  And I can guarantee you that you'll learn things that you'll be telling your friends and family about, things that will fundamentally change the way you think of yourself and others.  How can you resist that?!","behavior; learning; therapy; psychology; psychologies; Mental Illness; Psychological Problems; Social Psychology; Psychological Issues; clinical psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22, 39","Spanish","English","life-sciences","psychology","WIhvslYxEeSFRiIACycBKQ","[NULL]"]
["1. Literacy","Psychology","The Psychology of Thrill Seekers","Emory University","Beginner",14.0,4.34,"https://www.coursera.org/learn/psychology-of-thrill-seekers","Sensation seeking is a trait we all have and includes the search for complex and new experiences. Thrill Seekers, people with high-sensation seeking personalities, crave exotic and intense experiences even when physical or social risks are involved. This course helps learners examine the remarkable world of the high-sensation seeking personality and explores the lifestyle, psychology, and neuroscience behind thrill seekers.","emotional intelligence; sense of agency; c process control; personality psychology; psychology; Child Psychology; neuroscience; behavioral activation; ice bath; disinhibition","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44091.0,"None","English","life-sciences","psychology","Uejan-f0EeaVLRKoA_hS8A","[NULL]"]
["1. Literacy","Psychology","Introduction to Self-Determination Theory: An approach to motivation, development and wellness","University of Rochester","Intermediate",13.4,4.91,"https://www.coursera.org/learn/self-determination-theory","Self-determination theory (SDT) is an empirically based theory of motivation and psychological development that is especially focused on the basic psychological needs that promote high quality motivation and wellness, and how they are supported in social contexts. SDT details how the styles and strategies of motivators such as parents, teachers, coaches, managers, and health-care professionals can promote or undermine engagement and the positive consequences that follow from it. \\n\\nIn this course, Professor Richard Ryan, co-founder of the theory, will provide an overview of SDT with special emphasis on how autonomy, competence, and relatedness supports and facilitates behavioral persistence, quality of relationships, and healthy developmental processes, among other topics. He will also discuss the convergence of behavioral phenomenological and neuropsychological aspects of autonomy within SDT research. In addition, he will illustrate practical applications of SDT, with emphasis on educational, work, sport, healthcare and psychotherapy settings.","personal development planning; motivation; neuropsychology; personal development; counseling psychology; life coaching; psychotherapy; coaching psychology; attention deficit hyperactivity disorder; coaching","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44029.0,"None","English","life-sciences","psychology","vQs6P8eLEea_mxKQvxD5nA","[NULL]"]
["1. Literacy","Psychology: Neurolinguistics","The Bilingual Brain","University of Houston System","Beginner",21.0,4.6,"https://www.coursera.org/learn/bilingual","This course explores the brain bases of bilingualism by discussing literature relevant to differences in age of initial learning, proficiency, and control in the nonverbal, single language and dual-language literature.  Participants will learn about the latest research related to how humans learn one or two languages and other cognitive skills.","child development; language development; sign language; clinical psychology; psychology; health; neuroscience; cognitive behavioral therapy; neuropsychology; Bilingual","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44160.0,"Russian","English","life-sciences","psychology","evGYoZ65EeW6bw4ogk2HGQ","[NULL]"]
["1. Literacy","Psychology: Positive Psychology","Positive Psychology","The University of North Carolina at Chapel Hill","Beginner",11.0,4.6,"https://www.coursera.org/learn/positive-psychology","This course discusses research findings in the field of positive psychology, conducted by Barbara Fredrickson and her colleagues. It also features practical applications of this science that you can put to use immediately to help you live a full and meaningful life.","positive psychology; learning; gratitude; emotions; kindness; broaden-and-build; meditation; psychologies; happiness; mindfulness","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43963.0,"Chinese; Spanish","English","life-sciences","psychology","rNpCSyQbEeWXzxJxfIL00w","[NULL]"]
["1. Literacy","Public Health","An Introduction to the U.S. Food System: Perspectives from Public Health","Johns Hopkins University","Beginner",21.5,4.74,"https://www.coursera.org/learn/food-system","A food system encompasses the activities, people and resources involved in getting food from field to plate. Along the way, it intersects with aspects of public health, equity and the environment. In this course, we will provide a brief introduction to the U.S. food system and how food production practices and what we choose to eat impacts the world in which we live. We will discuss some key historical and political factors that have helped shape the current food system and consider alternative approaches from farm to fork. The course will be led by a team of faculty and staff from the Johns Hopkins Center for a Livable Future. Guest lecturers will include experts from a variety of disciplines, including public health, policy and agriculture.","nutrition; agriculture; public health; animal; food science; farm; food policy; political science; food security; food technology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44192.0,"None","English","life-sciences","public-health","OXqJcQo-EeWKzSIAC7Uk8A","[NULL]"]
["1. Literacy","Public Health","Air Pollution – a Global Threat to our Health","University of Copenhagen","Beginner",7.2,4.7,"https://www.coursera.org/learn/air-pollution-health-threat","We all have to breathe to live. But the air we breathe is polluted both outdoors and indoors. Each year, this pollution costs 7 million lives across the globe – and a lot of suffering. 1 in 8 deaths is due to air pollution. This course will provide you with an introduction to the most recent research in the field of health effects of air pollution as well as a broader understanding of sources and spread of air pollution and what we should do about it.\\n \\nWhat is air pollution? What are the sources? How and where are we exposed outdoors and indoors? What happens in the body? Which diseases are the result? Who are the most vulnerable? How can we assess the effects of air pollution? And what should we do to reach the Sustainable Development Goal to “substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution”? These are some of the important questions we will address in the course.\\n\\nDuring the course you will meet researchers and experts from the University of Copenhagen and the Technical University of Denmark. They work with different aspects of air pollution and health: toxicology, exposure assessment, epidemiology, engineering and health impact assessment. It is a global responsibility to combat the health impacts of air pollution, and this fight can only be won through new knowledge and global collaboration. \\n\\nWe hope you will join us in the course and equip yourself to take part in this global and individual health challenge.","awareness; adobe air; water treatment; pollution; indoor air quality; Mechanical Engineering; Air Pollution Control; health; Chemical Engineering; Pollution Control","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43839.0,"Portuguese; German","English","life-sciences","public-health","tudrlqdjEeellg6wyPI6Pg","[NULL]"]
["1. Literacy","Public Health","Protecting Public Health in a Changing Climate:  A Primer for City, Local, and Regional Action","Johns Hopkins University","Intermediate",18.8,4.77,"https://www.coursera.org/learn/climate-change","This course is an introduction to the multiple ways our changing climate affects global population health, and to promising policy and practice responses.  More intense storms, heatwaves, and rising seas mean many, particularly the most vulnerable, now face growing risks of weather-related injury, illness, mental stress and even death. Because people care deeply about health outcomes, public health has great potential to convey the urgency of reducing greenhouse gas emissions and adapting to a warmer, more unpredictable climate.  The main message of the course is that public health must therefore “lean in” and become a more central player in climate change mitigation and adaptation.  Because climate-related health risks happen mainly at the local level, the course focuses on cities – increasingly key players in climate change policy.  Starting with an overview of the science consensus suggesting we have 10-20 years to prevent risks associated with exceeding 1.5°C of global warming and put in place adaptive policies, the course provides interactive lectures, expert interviews and case studies that build practical knowledge.  In the final assignment, participants apply course tools and strategies to a city of their choice, preparing them to contribute to climate mitigation and building health resiliency in their own local context.","health impact assessment; food poisoning; stormwater; aeroallergen; wildfire; desalination; desalination plants; food science; atlantic storm; public health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44124.0,"None","English","life-sciences","public-health","kQKm_loAEeiS2Qq9yoYPHA","[NULL]"]
["1. Literacy","Public Health","Health in Complex Humanitarian Emergencies","Emory University","Beginner",6.9,4.66,"https://www.coursera.org/learn/health-che","The Center for Humanitarian Emergencies is a partnership between CDC's Emergency Response and Recovery Branch and the Rollins School of Public Health that drives global collaboration, research and evidence based training to improve the lives and well-being of populations impacted by humanitarian emergencies.\\n- Center for Humanitarian Emergencies: http://www.che.emory.edu/\\n- CDC's Emergency Response and Recovery Branch: http://www.cdc.gov/globalhealth/healthprotection/errb/index.html\\n\\nThis course covers the technical and management principles that are the basis of planning, implementing, and evaluating health programs for acutely displaced populations in developing countries. The emphasis is on refugees in camp situations. The course includes modules on assessment, nutrition, epidemiology of major health problems, surveillance, and program management in the context of an international relief operation.\\n\\nCourse Objectives\\nUpon completion of this course, learners will be able to:\\n1. Describe a complex humanitarian crisis in terms of magnitude, person, time and place.\\n2. Calculate basic epidemiology measures.\\n3. Evaluate the strengths and limitations of epidemiological data within the context of CHE.\\n4. Develop public health programs and strategies responsive to the diverse cultural values and traditions of the community being served.\\n5. Identify internal and external problems that may affect the delivery of essential public health services in a CHE.\\n6. Identify the different technical areas in a public health response in CHEs.","humanitarian; nutrition; emergency; emergency management; non-communicable disease; mental health; public health; reproductive health; Disease Control; disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43929.0,"None","English","life-sciences","public-health","tUN_dJg7EeWECQ40bkXGkQ","[NULL]"]
["1. Literacy","Public Health","COVID-19: What You Need to Know (CME Eligible)","Osmosis","Beginner",2.5,4.68,"https://www.coursera.org/learn/covid-19-what-you-need-to-know","COVID-19 is a global pandemic that has already resulted in hundreds of thousands of infections and thousands of deaths, with many more anticipated. This course is a go-to resource that will be regularly updated with all of the current information put forth by the CDC, WHO, and other leading agencies and covers the basics, personal protective equipment, diagnostics, and other material.\\nAs a healthcare professional, you can earn CME credit and help to #RaiseTheLine by becoming prepared to treat COVID-19.\\n\\nRegister for this free CME course here: https://www.coursera.org/learn/covid-19-what-you-need-to-know?edocomorp=public-health-free-courses","public health; personal advertisement; personal protective equipment; symptoms; learning; infection control; prevention; pandemic; health care; infection","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43833.0,"Spanish; Italian","English","life-sciences","public-health","s_73LGrZEeqo6A60YZScAw","[NULL]"]
["1. Literacy","Public Health: Global Health","An Introduction to Global Health","University of Copenhagen","Beginner",16.3,4.76,"https://www.coursera.org/learn/global-health-introduction","This course will provide you with an overview of the most important health challenges facing the world today. You will gain insight into how challenges have changed over time, we will discuss the likely determinants of such changes and examine future projections. Successful international strategies and programs promoting human health will be highlighted and global health governance structures will be mapped and the role of the key actors explored.","reproductive-health; community-health; learning; global; maternal-child-health; child; infectious-diseases; public-health; disease; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.7,19.6]","NA","English","life-sciences","public-health","cKvqIUXWEeSAFiIACyyIrg"]
["1. Literacy","Scientific Research","Understanding Medical Research: Your Facebook Friend is Wrong","Yale University","Beginner",10.2,4.93,"https://www.coursera.org/learn/medical-research","How can you tell if the bold headlines seen on social media are truly touting the next big thing or if the article isn't worth the paper it's printed on? \\n\\nUnderstanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science. \\n\\nThe course covers study-design, research methods, and statistical interpretation. It also delves into the dark side of medical research by covering  fraud, biases, and common misinterpretations of data. Each lesson will highlight case-studies from real-world journal articles.\\n\\nBy the end of this course, you'll have the tools you need to determine the trustworthiness of the scientific information you're reading and, of course, whether or not your Facebook friend is wrong.","amazon echo; playstation vr; apx; remote touch; blue button; oculus vr; wii remote; active pen; research methods; redirected walking","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44053.0,"None","English","life-sciences","research","5afSO-9VEem5hAoTk7uzWg","[NULL]"]
["1. Literacy","Scientific Research","Introduction to Translational Science","University of Rochester","Intermediate",7.7,4.19,"https://www.coursera.org/learn/intro-translational-science","Translational science seeks to speed up the process of moving research discoveries from the laboratory into healthcare practices. Numerous scientific and organizational roadblocks can act as obstacles along the path of translation and ultimately hinder the speed of progress in medical research. The National Center for Advancing Translational Sciences (NCATS) was established by the National Institutes of Health (NIH) to transform and accelerate the translational research process, with the intended result of getting treatments to more patients faster. The field of Translational Science aims to bridge these gaps by:\\n\\nDeveloping new approaches, technologies, resources and models \\nDemonstrating the usefulness of new approaches, technologies, resources and models \\nDisseminating the resulting data, analyses, and methodologies to the broad scientific community \\n\\nIntroduction to Translational Science is an introductory course that provides students with a broad understanding of translational science, the types of research that are conducted under the translational science umbrella, and how this research impacts the public at large.The course will compare and contrast current impediments to clinical research with the potential of translational science and will include selected case studies from the University of Rochester.","clinical trials; linguistics; clinical and translational science; clinical research; translation; drug discovery; Regulatory Affairs; translational research; lead poisoning; immunotherapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"None","English","life-sciences","basic-science","puX6UjszEeeaawqep_smgg","[NULL]"]
["2. Upskill","Animal Health and Veterinary Medicine","The Horse Course: Introduction to Basic Care and Management","University of Florida","Beginner",21.3,4.89,"https://www.coursera.org/learn/horse-care","There are over 100 million horses, donkeys and mules in the world today and owners of these animals can be found on almost every continent and in almost every society.  The Horse Course will cover many unique aspects of equine ownership and touch upon the science behind many of today’s management practices.","nutrition; behavior; management; learning; horse care; veterinary; animal behavior; Disease Management; animal; disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15, 24","None","English","life-sciences","animal-health","GixeETxVEeW0tw4knrMo3Q","[NULL]"]
["2. Upskill","Animal Health and Veterinary Medicine","Animal Behaviour and Welfare","The University of Edinburgh","Beginner",8.9,4.76,"https://www.coursera.org/learn/animal-welfare","Animal welfare has been described as a complex, multi-faceted public policy issue which includes important scientific, ethical, and other dimensions. Improving our understanding of  animal welfare, involves the fascinating study of animal behavior as well as the challenge of accessing the emotions of animals. \\n\\nThis is the On-Demand version of this course, which means you can start the course at any time and work through the course materials at your own pace. The materials and quizzes will always be available to you. \\n\\nYou can come and talk about the course on Twitter using the hashtag #EdAniWelf","dog; dog behavior; behavior; animal studies; learning; veterinary; animal science; well; animal; animal behavior","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43961.0,"Spanish; French; Italian","English","life-sciences","animal-health","D5GKj_UHEeSBSSIAC7JSBQ","[NULL]"]
["2. Upskill","Animal Health and Veterinary Medicine","Sustainable Food Production Through Livestock Health Management","University of Illinois at Urbana-Champaign","Intermediate",25.9,4.81,"https://www.coursera.org/learn/livestock-farming","Learn about the impact of infectious disease on sustainable animal-based food production by understanding the science of growth, immunity, and infection and by learning the problem-solving skills needed to advance animal health and food production through optimal management practices.\\n\\nThere is a growing global need in agricultural production for a workforce that is capable of integrating knowledge of animal health and production with an understanding of consumer preferences in the context of economic reality, business efficiency, and ethical constraint.  However, current evidence suggests that there is a growing shortage of people with the knowledge and problem-solving skills required to match the rapid advances being made in animal health, science, and food production.  The results of this shortage are wide-ranging and could lead to challenges in food security and agricultural economic competitiveness in some countries.\\n\\nIn this course we will explore the effect of infectious disease on sustainable animal-based food production. The content and learning outcomes of this new course will be designed to be relevant across different food production sectors (i.e., beef, dairy, poultry, and pigs). While the instructors will provide the participants with a strong scientific base for understanding the impact of infectious disease in animal-based food production, the emphasis of the material will be on practical problem-solving and will be directed towards equipping participants with a platform for developing the skills needed to contribute to sustainable food production.","animal; animal behavior; veterinary; livestock; management; disease; behavior; food safety; agriculture; veterinary medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12, 37","None","English","life-sciences","animal-health","pwEMYMrFEeWefQ5w2ud5rw","[NULL]"]
["2. Upskill","Animal Health and Veterinary Medicine","Equine Welfare and Management","University of California, Davis","Intermediate",16.3,4.78,"https://www.coursera.org/learn/equine","This unique course was developed by veterinarians at the world-renowned University of California, Davis School of Veterinary Medicine. The course will address horsemanship from a welfare perspective, within the context of “The Five Freedoms” of animal welfare. We’ll explore equine physiology, behavior and basic needs including housing, nutrition, hygiene and disease management. You’ll learn how to perform basic tasks to assess the overall condition of the horse and identify problem areas. We’ll also examine the specialized needs of the equine athlete and the major responsibilities we as owners, handlers or competitors must assume in order to ensure the health and welfare of our equine companions. Finally, we’ll look several special topics in equine welfare including disaster planning and the international welfare efforts now in place to protect working horses and other equids in key industries such as racing, international competition, tourism and even mining. By the conclusion of the course, you will be well equipped to develop a comprehensive welfare plan for any horses in your care.","veterinary medicine; animal; animal behavior; animal nutrition; equine anatomy; veterinary; nutrition; horse care; horse anatomy; horse behavior","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44125.0,"None","English","life-sciences","animal-health","qgQtFHQ_EeWKsgrp3VnvAw","[NULL]"]
["2. Upskill","Basic Science","Anatomy: Musculoskeletal and Integumentary Systems","University of Michigan","Intermediate",83.1,4.78,"https://www.coursera.org/learn/anatomy403-1x","In this anatomy course, part of the Anatomy Specialization, you will learn how the components of the integumentary system help protect our body (epidermis, dermis, hair, nails, and glands), and how the musculoskeletal system (bones, joints, and skeletal muscles) protects and allows the body to move.\\n\\nYou will engage with fascinating videos, lectures, and anatomical visual materials (illustrations and cadaveric images) to learn about these properties and functions.","biology; nursing; medical terminology; radiology; anatomy; cardiology; musculoskeletal system; physical therapy; histology; forensic science","Anatomy",1.0,"https://www.coursera.org/specializations/anatomy","In this Specialization you will explore human anatomy using a systems approach, and a vast library of multimedia materials, so you may understand the features of different organ systems in relation to the human body’s form and function.\\n\\nThis Specialization covers the following organ systems:\\n\\nIntegumentary System\\n\\nMusculoskeletal System\\n\\nCardiovascular System\\n\\nRespiratory System\\n\\nUrinary System\\n\\nNervous System\\n\\nGastrointestinal System\\n\\nReproductive System\\n\\nEndocrine System\\n\\nThis Specialization takes advantage of a highly visual multimedia library of accurate anatomical models and materials to help you better understand the topics.","18, 159","None","English","life-sciences","basic-science","RvM0XYwxEeiwFA5iHyGphA","JnwOifc9Eeilig44CSYEuA"]
["2. Upskill","Basic Science","Anatomy: Cardiovascular, Respiratory and Urinary Systems","University of Michigan","Intermediate",69.9,4.82,"https://www.coursera.org/learn/anatomy403-2x","In this anatomy course, part of the Anatomy Specialization, you will explore the interactive relationships of the cardiovascular, respiratory and urinary systems, and the roles they play in your body.\\n\\nThis course is a primer for the cardiovascular, respiratory, and urinary systems in which students learn the pertinent details of the structures and functions through a combination of lectures, videos, labeling activities and quizzes.","medical terminology; biology; nursing; forensic science; cardiology; human biology; radiology; anatomy; physical therapy; histology","Anatomy",2.0,"https://www.coursera.org/specializations/anatomy","In this Specialization you will explore human anatomy using a systems approach, and a vast library of multimedia materials, so you may understand the features of different organ systems in relation to the human body’s form and function.\\n\\nThis Specialization covers the following organ systems:\\n\\nIntegumentary System\\n\\nMusculoskeletal System\\n\\nCardiovascular System\\n\\nRespiratory System\\n\\nUrinary System\\n\\nNervous System\\n\\nGastrointestinal System\\n\\nReproductive System\\n\\nEndocrine System\\n\\nThis Specialization takes advantage of a highly visual multimedia library of accurate anatomical models and materials to help you better understand the topics.","12, 125","None","English","life-sciences","basic-science","q16azYwxEeiwFA5iHyGphA","JnwOifc9Eeilig44CSYEuA"]
["2. Upskill","Basic Science","Anatomy: Human Neuroanatomy","University of Michigan","Intermediate",84.9,4.81,"https://www.coursera.org/learn/anatomy403-3x","In this anatomy course, part of the Anatomy Specialization, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system.\\n\\nThe course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system.\\n\\nBy the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.","biology; anatomy; audiology; neurology; physical therapy; nursing; medical terminology; neuroscience; cardiology; forensic science","Anatomy",3.0,"https://www.coursera.org/specializations/anatomy","In this Specialization you will explore human anatomy using a systems approach, and a vast library of multimedia materials, so you may understand the features of different organ systems in relation to the human body’s form and function.\\n\\nThis Specialization covers the following organ systems:\\n\\nIntegumentary System\\n\\nMusculoskeletal System\\n\\nCardiovascular System\\n\\nRespiratory System\\n\\nUrinary System\\n\\nNervous System\\n\\nGastrointestinal System\\n\\nReproductive System\\n\\nEndocrine System\\n\\nThis Specialization takes advantage of a highly visual multimedia library of accurate anatomical models and materials to help you better understand the topics.","19, 164","None","English","life-sciences","basic-science","znHxeowxEei74Aq2-GwsJg","JnwOifc9Eeilig44CSYEuA"]
["2. Upskill","Basic Science","Anatomy: Gastrointestinal, Reproductive and Endocrine Systems","University of Michigan","Intermediate",79.3,4.84,"https://www.coursera.org/learn/anatomy403-4x","In this anatomy course, part of the Anatomy Specialization, you’ll learn about the various digestive, endocrine, and reproductive organs, their functions, and pathways of nerves and blood vessels serving these organs. Clinical correlations and vignettes will be used to highlight the importance of these anatomical structures and their relationships. Images and videos from cadaveric and artistic materials will be used to illustrate these concepts.","anatomy; nursing; cardiology; forensic science; endocrinology; biology; medical terminology; physical therapy; gynaecology; hormone","Anatomy",4.0,"https://www.coursera.org/specializations/anatomy","In this Specialization you will explore human anatomy using a systems approach, and a vast library of multimedia materials, so you may understand the features of different organ systems in relation to the human body’s form and function.\\n\\nThis Specialization covers the following organ systems:\\n\\nIntegumentary System\\n\\nMusculoskeletal System\\n\\nCardiovascular System\\n\\nRespiratory System\\n\\nUrinary System\\n\\nNervous System\\n\\nGastrointestinal System\\n\\nReproductive System\\n\\nEndocrine System\\n\\nThis Specialization takes advantage of a highly visual multimedia library of accurate anatomical models and materials to help you better understand the topics.","19, 136","None","English","life-sciences","basic-science","_1UMj4wxEeizeAoODGb7pg","JnwOifc9Eeilig44CSYEuA"]
["2. Upskill","Basic Science","Fundamentals of Immunology: Innate Immunity and B-Cell Function","Rice University","Intermediate",21.7,4.64,"https://www.coursera.org/learn/immunologyfundamentalsimmunitybcells","Course 1 of a three course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material.\\n\\nThis is the first leg of a three-part journey through the defenses your body uses to keep you healthy. In this part we hope to give you the vocabulary and concepts you need to interact with the medical community and to provide them in a context that makes them memorable.\\n\\nFundamentals of Immunology introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. After describing the form, function, origin and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline.\\n\\nWhat You’ll Learn:\\nThe difference between adaptive and innate immune systems, the characteristics of various pathogens that they protect you from and the overall strategies employed in this protection. The detailed structure of antibodies and related immunoglobulin receptors, the characteristics and function of the different antibody classes and the mechanism for producing both the recognition regions and stem regions.  Finally, how these structures are coded for in the DNA and expressed in the B cells.","biochemistry; Cancer Biology; immune system; molecular biology; immunology; cell biology; antibody; biology; cancer; b cell","Fundamentals of Immunology",1.0,"https://www.coursera.org/specializations/immunology","This specialization is designed to equip students with the basic concepts and vocabulary of immunology. The goal is to provide students from different backgrounds with a fundamental understanding of immunology and the ability to appreciate and analyze new developments in immunological therapies designed for the treatment of disease.","11, 32","None","English","life-sciences","basic-science","6EZs4Wp0EeiKHQoyanxocA","pZY2cJzHEei-Ig6fwTAslg"]
["2. Upskill","Basic Science","Fundamentals of Immunology: T Cells and Signaling","Rice University","Advanced",20.1,4.75,"https://www.coursera.org/learn/immunologyfundamentalstcellssignaling","Course 2 of a three course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material.\\n\\nThis is the second half of the journey through the defenses your body uses to keep you healthy. In the first part we learned about innate immunity and B cell function. The second part covers T cell function and coordination of the immune response.\\n\\nFundamentals of Immunology: T cells and Signaling builds on the first course to describe the functions of Complement, MHC presentation to T cells, T cell development and signaling. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. This course includes the structure of both MHC proteins and T cell receptors and the sources of variation. The course provides animations of gene rearrangement, developmental processes and signal cascades. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline.\\n\\nWhat You’ll Learn:\\nHow complement uses adaptive and innate triggers to target pathogens. The detailed structure and coding of MHC proteins and both alpha-beta and gamma delta receptors and how these proteins interact to initiate an adaptive immune response. The basics of signaling, and the varieties of external receipt and internal activation pathways. We bine the process of putting together how signals and crosstalk control the activity of the immune system.","cell biology; immune system; cell therapy; Cancer Biology; genetics; immunology; gene therapy; cancer; biology; biochemistry","Fundamentals of Immunology",2.0,"https://www.coursera.org/specializations/immunology","This specialization is designed to equip students with the basic concepts and vocabulary of immunology. The goal is to provide students from different backgrounds with a fundamental understanding of immunology and the ability to appreciate and analyze new developments in immunological therapies designed for the treatment of disease.",44102.0,"None","English","life-sciences","basic-science","4CCcLKyYEeioggoEd35Ywg","pZY2cJzHEei-Ig6fwTAslg"]
["2. Upskill","Basic Science","Fundamentals of Immunology: Death by Friendly Fire","Rice University","Advanced",21.0,4.64,"https://www.coursera.org/learn/immunology-friendlyfire","Course 3 of a three course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material.\\n\\nThis is the third leg of the journey through the defenses your body uses to keep you healthy. In the first course we learned about innate immunity and B cell function. In the second course we studied T cell function and coordination of the immune response.\\n\\nFundamentals of Immunology: Death by Friendly Fire introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. After describing the form, function, origin and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline.\\n\\nWhat You’ll Learn: \\nA survey of immune cells and how they attack pathogens, with emphasis on the mechanism of inducing apoptosis and details of Antibody Directed Cell-mediated Cytotoxicity. The inflammatory response and mechanisms of generating tolerance, presented in sequence to emphasize the decision making involved in controlling attacks. A survey of autoimmune disease, their characteristics, cause and treatment. Survey of hypersensitivity reactions, including allergy, anaphylaxis, anemias, granulomas, and a variety of skin responses. This is accompanied by identification, prevention and treatment. The final discussion of preventing transplant rejection is preceded by a detailed unit on antibody technology and the methods of testing for incompatibility.","forensic science; biochemistry; molecular biology; gene therapy; immune system; cell therapy; immunology; biology; cancer; cell biology","Fundamentals of Immunology",3.0,"https://www.coursera.org/specializations/immunology","This specialization is designed to equip students with the basic concepts and vocabulary of immunology. The goal is to provide students from different backgrounds with a fundamental understanding of immunology and the ability to appreciate and analyze new developments in immunological therapies designed for the treatment of disease.",44163.0,"None","English","life-sciences","basic-science","FlC5ALUgEeinWBJDg6OkoA","pZY2cJzHEei-Ig6fwTAslg"]
["2. Upskill","Basic Science","Introduction to Forensic Science","Nanyang Technological University, Singapore","Advanced",24.4,4.81,"https://www.coursera.org/learn/forensic-science","We have all seen forensic scientists in TV shows, but how do they really work? What is the science behind their work?\\n\\nThe course aims to explain the scientific principles and techniques behind the work of forensic scientists and will be illustrated with numerous case studies from Singapore and around the world.\\n\\nSome questions which we will attempt to address include:\\n\\nHow did forensics come about? What is the role of forensics in police work? Can these methods be used in non-criminal areas?\\nBlood. What is it? How can traces of blood be found and used in evidence?\\nIs DNA chemistry really so powerful?\\nWhat happens (biologically and chemically) if someone tries to poison me? What happens if I try to poison myself?\\nHow can we tell how long someone has been dead? What if they have been dead for a really long time?\\nCan a little piece of a carpet fluff, or a single hair, convict someone?\\nWas Emperor Napoleon murdered by the perfidious British, or killed by his wallpaper?\\n\\n*For Nanyang Technological University (NTU) students, please be noted that this course will no longer be eligible for credit transfer.","dnas; dna; dna-profiling; analysis; chemistry; crime; forensics; forensic-science; crime-scene; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.8,30.1]","Spanish; Greek; Vietnamese","English","life-sciences","basic-science","tKpNgsa4EeWg0QoHq3JjoQ"]
["2. Upskill","Basic Science","Medical Neuroscience","Duke University","Intermediate",112.9,4.9,"https://www.coursera.org/learn/medical-neuroscience","Medical Neuroscience explores the functional organization and neurophysiology of the human central nervous system, while providing a neurobiological framework for understanding human behavior. In this course, you will discover the organization of the neural systems in the brain and spinal cord that mediate sensation, motivate bodily action, and integrate sensorimotor signals with memory, emotion and related faculties of cognition. The overall goal of this course is to provide the foundation for understanding the impairments of sensation, action and cognition that accompany injury, disease or dysfunction in the central nervous system. The course will build upon knowledge acquired through prior studies of cell and molecular biology, general physiology and human anatomy, as we focus primarily on the central nervous system.\\n\\nThis online course is designed to include all of the core concepts in neurophysiology and clinical neuroanatomy that would be presented in most first-year neuroscience courses in schools of medicine. However, there are some topics (e.g., biological psychiatry) and several learning experiences (e.g., hands-on brain dissection) that we provide in the corresponding course offered in the Duke University School of Medicine on campus that we are not attempting to reproduce in Medical Neuroscience online. Nevertheless, our aim is to faithfully present in scope and rigor a medical school caliber course experience.\\n\\nThis course comprises six units of content organized into 12 weeks, with an additional week for a comprehensive final exam:\\n- Unit 1 Neuroanatomy (weeks 1-2). This unit covers the surface anatomy of the human brain, its internal structure, and the overall organization of sensory and motor systems in the brainstem and spinal cord.\\n- Unit 2 Neural signaling (weeks 3-4). This unit addresses the fundamental mechanisms of neuronal excitability, signal generation and propagation, synaptic transmission, post synaptic mechanisms of signal integration, and neural plasticity.\\n- Unit 3 Sensory systems (weeks 5-7). Here, you will learn the overall organization and function of the sensory systems that contribute to our sense of self relative to the world around us: somatic sensory systems, proprioception, vision, audition, and balance senses.\\n- Unit 4 Motor systems (weeks 8-9). In this unit, we will examine the organization and function of the brain and spinal mechanisms that govern bodily movement.\\n- Unit 5 Brain Development (week 10). Next, we turn our attention to the neurobiological mechanisms for building the nervous system in embryonic development and in early postnatal life; we will also consider how the brain changes across the lifespan.\\n- Unit 6 Cognition (weeks 11-12). The course concludes with a survey of the association systems of the cerebral hemispheres, with an emphasis on cortical networks that integrate perception, memory and emotion in organizing behavior and planning for the future; we will also consider brain systems for maintaining homeostasis and regulating brain state.","neurological-disorders; anatomy; neurology; injury; injuries; neuroscience; neurological-injury; neurobiology; brain; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[62.1,181.6]","NA","English","life-sciences","research","Nyq7nXzPEeWb-BLhFdaGww"]
["2. Upskill","Basic Science","General Pathophysiology","Saint Petersburg State University","Intermediate",26.2,4.0,"https://www.coursera.org/learn/pathophysiology","Dear listeners! \\nWarning: this course contains shocking materials and is not recommended for viewing to persons with weak psyche, minors and pregnant women.\\n\\nThe course describes subject and methods of Pathophysiology, its place within system of biomedical sciences and history.  It includes General Nosology (concept of health and disease, general etiology and pathogenesis, pathological processes and states, role of causal factors, conditions, reactivity and somatotype in pathology). It gives systematic of locally and centrally driven typical pathological processes: arterial, venous and combined hyperemiae, stasis, inflammation, immunopathological processes (including allergy and autoimmune disorders) acute phase response, fever, stress, shock, etc. Course deals with functional, metabolic and informational aspects of typical pathologic processes, like disorders of signaling, reception, post – receptor translation, programming and program archiving, conflicts of programs in living systems. It contains the consequent analysis of the injury and defensive responses as regards separate cells, organs and tissues and the whole organism. The lectures based on author’s original three-volumed textbook and workshop in Pathophysiology republished in Russia many times.","biochemistry; medical microbiology; inflammations; pathophysiology; veterinary medicine; microcirculation; pathology; immunology; medicine; cardiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15, 31","None","English","life-sciences","basic-science","3uUhp3hZEee12AoVaVBtGA","[NULL]"]
["2. Upskill","Basic Science","Advanced Neurobiology I","Peking University","Beginner",35.0,3.55,"https://www.coursera.org/learn/advanced-neurobiology1","Hello everyone! Welcome to advanced neurobiology!\\n\\nNeuroscience is a wonderful branch of science on how our brain perceives the external world, how our brain thinks, how our brain responds to the outside of the world, and how during disease or aging the neuronal connections deteriorate. We’re trying to understand the molecular, cellular nature and the circuitry arrangement of how nervous system works.\\n\\nThrough this course, you'll have a comprehensive understanding of basic neuroanatomy, electral signal transduction, movement and several diseases in the nervous system. \\n\\nThis advanced neurobiology course is composed of 2 parts (Advanced neurobiology I and Advanced neurobiology II, and the latter will be online later). They are related to each other on the content but separate on scoring and certification, so you can choose either or both. It’s recommended that you take them sequentially and it’s great if you’ve already acquired a basic understanding of biology.\\n\\nThank you for joining us!","molecular biology; neurobiology; neuroscience; cognitive neuroscience; neurological disorders; pharmacology; biochemistry; biology; neurology; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","21, 39","None","English","life-sciences","basic-science","5AYG1NbQEeWEOQ7ZE5jC0Q","[NULL]"]
["2. Upskill","Basic Science","Anatomy of the Chest, Abdomen, and Pelvis","Yale University","Intermediate",22.4,4.79,"https://www.coursera.org/learn/trunk-anatomy","WARNING: THESE VIDEOS CONTAIN IMAGES OF HUMAN DISSECTION. MAY BE DISTURBING TO SOME.\\n\\nHuman structure is important to all of us as it has been for millennia.  Artists, teachers, health care providers, scientists and most children try to understand the human form from stick figure drawings to electron microscopy. Learning the form of people is of great interest to us – physicians, nurses, physician assistants, emergency medical services personnel and many, many others.\\n\\nLearning anatomy classically involved dissection of the deceased whether directly in the laboratory or from texts, drawings, photographs or videos.  There are many wonderful resources for the study of anatomy.  Developing an understanding of the human form requires significant work and a wide range of resources.\\n\\nIn this course, we have attempted to present succinct videos of human anatomy.  Some will find these images to be disturbing and these images carry a need to respect the individual who decided to donate their remains to benefit our teaching and learning.\\n\\nAll of the dissections depicted in the following videos are from individuals who gave their remains to be used in the advancement of medical education and research after death to the Yale School of Medicine.\\n\\nThe sequence of videos is divided into classic anatomic sections.  Each video has a set of learning objectives and a brief quiz at the end.  Following each section there is another quiz covering the entire section in order for you to test your knowledge.  \\n\\nWe hope these videos will help you better understand the human form, make time that you may have in the laboratory more worthwhile if you have that opportunity and help you develop an appreciation of the wonderful intricacies of people.\\n\\nANATOMY OF THE CHEST, ABDOMEN, AND PELVIS WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.\\n\\nThis work was supported in part by the Kaplow Family Fund, Yale School of Medicine.\f\\nCOURSE CURRICULUM:  ANATOMY OF THE THORAX, HEART, ABDOMEN AND PELVIS\\n\\nRECOMMENDED TEXT\\t\\nGRAY’S ANATOMY FOR STUDENTS, RICHARD L DRAKE, ELSEVIER.  ONLINE AND PRINT EDITIONS\\n\\nADDITIONAL RESOURCE\\nATLAS OF HUMAN ANATOMY, FRANK H NETTER, ELSEVIER.  ONLINE AND PRINT EDITIONS.\\n\\nWe would like to thank all of those who have contributed to the creation of this course:\\nCharles C Duncan, MD, Producer & Director, Professor of Neurosurgery, Pediatrics and Surgery (Anatomy), Yale School of Medicine\\n\\nWilliam B Stewart, PhD, Associate Producer, Narration, Anatomist, Chief Section of Human Anatomy, Department of Surgery, Yale School of Medicine\\n\\nShanta E Kapadia, MBBS, Anatomist, Lecturer in Anatomy, Section of Human Anatomy, Department of Surgery, Yale School of Medicine\\n\\nLinda Honan, PhD, Professor, Yale School of Nursing\\n\\nHarry R Aslanian, MD, Associate Professor, Department of Medicine (Gastroenterology) Yale School of Medicine \\n\\nJonathan Puchalski, MD, Associate Professor of Internal Medicine (Pulmonary), Yale School of Medicine\\n\\nMichael K. O’Brien, MD, PhD, Assistant Clinical Professor of Surgery, Yale School of Medicine\\n\\nMahan Mathur, MD, Assistant Professor of Radiology and Bio-Medical Imaging, Yale School of Medicine\\n\\nLei Wang, MLS & Kelly Perry, Technical, Yale Medical Library\\n\\nAnna Nasonova, Artist, Yale School of Architecture\\n\\nRachel Hill, Artist and Technical, Yale College\\n\\nPhilip Lapre, Technical, Section of Anatomy, Department of Surgery, Yale School of Medicine","anatomy; emergency medicine; radiography; medical imaging; gastroenterology; cardiology; pediatrics; medicine; nursing; medical physics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","9, 35","None","English","life-sciences","basic-science","8K8NHrfgEea2MQq2IjylnA","[NULL]"]
["2. Upskill","Basic Science","Epigenetic Control of Gene Expression","The University of Melbourne","Advanced",29.7,4.83,"https://www.coursera.org/learn/epigenetics","While the human genome sequence has transformed our understanding of human biology, it isn’t just the sequence of your DNA that matters, but also how you use it! How are some genes activated and others are silenced? How is this controlled? The answer is epigenetics.  \\n\\nEpigenetics has been a hot topic for research over the past decade as it has become clear that aberrant epigenetic control contributes to disease (particularly to cancer). Epigenetic alterations are heritable through cell division, and in some instances are able to behave similarly to mutations in terms of their stability. Importantly, unlike genetic mutations, epigenetic modifications are reversible and therefore have the potential to be manipulated therapeutically. It has also become clear in recent years that epigenetic modifications are sensitive to the environment (for example diet), which has sparked a large amount of public debate and research.\\n\\nThis course will give an introduction to the fundamentals of epigenetic control. We will examine epigenetic phenomena that are manifestations of epigenetic control in several organisms, with a focus on mammals. We will examine the interplay between epigenetic control and the environment and finally the role of aberrant epigenetic control in disease.\\n\\nAll necessary information will be covered in the lectures, and recommended and required readings will be provided. There are no additional required texts for this course. For those interested, additional information can be obtained in the following textbook.\\n\\nEpigenetics. Allis, Jenuwein, Reinberg and Caparros. Cold Spring Harbour Laboratory Press. ISBN-13: 978-0879697242 | Edition: 1","chromatin; Dna Methylation; MicroRNA; DNA; cancer; gene; Cancer Epigenetics; epigenetics; genetics; genomics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","20, 35","Spanish","English","life-sciences","basic-science","-zH9iof2EeWGBwqGAoUFww","[NULL]"]
["2. Upskill","Basic Science","Biochemical Principles of Energy Metabolism","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",15.1,4.78,"https://www.coursera.org/learn/energy-metabolism","Everyone knows that energy is essential for sustaining life. How can you define energy in life? Have ever thought about ways of how carbohydrates like glucose from your diet can be used for extracting energy? A scientific field that focuses on energy production and flow though living cells and organisms is called bioenergetics. Energy metabolism covers various biochemical ways of energy transformation and regulatory mechanisms of over thousands chemical reactions. Without fine control of those metabolic processes, cells and organisms cannot maintain activities linked to life. \\n\\nThis 7 week-course will give you a clear introduction to the basic fundamentals of energy metabolism.  We will first establish the concept of energy metabolism and subsequently examine biochemical steps involved in energy production from glucose oxdiation as well as glucose synthesis via photosynthesis. We will also learn about metabolic reactions related to fat as well as regulatory actions among different organs. Finally, dysregulated energy metabolism in pathological conditions such as diabetes and cancer will be discussed. \\n\\nEveryone knows that energy is essential for sustaining life. How can you define energy in life? Have ever thought about ways of how carbohydrates like glucose from your diet can be used for extracting energy? A scientific field that focuses on energy production and flow though living cells and organisms is called bioenergetics. Energy metabolism covers various biochemical ways of energy transformation and regulation of thousands of chemical reactions. Without fine regulation of those metabolic processes, cells and organisms cannot maintain activities linked to life. \\n\\nThis 7 week-course will give you a clear introduction to the basic fundamentals of energy metabolism.  We will first establish the concept of energy metabolism and subsequently examine biochemical processes involved in energy production as well as photosynthesis. We will also learn about metabolic reactions related to fa as well as regulatory actions among different organs. Finally, dysregulated energy metabolism in pathological conditions such as diabetes and cancer will be discussed.","cell biology; biology; exercise physiology; bioenergetics; exercise; photosynthesis; metabolism; physiology; carbohydrate; biochemistry","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44061.0,"Spanish","English","life-sciences","basic-science","948IYJRQEeeOpwoxDQI2lg","[NULL]"]
["2. Upskill","Basic Science","Anatomy of the Abdomen and Pelvis; a journey from basis to clinic.","Universiteit Leiden","[NULL]",31.9,4.75,"https://www.coursera.org/learn/abdomen-anatomy","In this anatomy course you will explore the organs involved in our food digestion and discover the common causes of abdominal and pelvic pain. The latest graphics and animations will help you to find new insights and understanding of this part of the body, that has been the focus of anatomical research for centuries and presently arouses renewed scientific interest.\\n\\nYou will explore the 3D anatomy of the organs from a basic level, providing thorough anatomical understanding, to its advanced application in surgical procedures. This course will challenge you to discover and help you to understand the anatomy of the abdomen and pelvis in all its aspects, ranging from its embryological underpinnings, via digital microscopy to gross topography and its clinical applications.\\n\\nThe course is unique in that it continuously connects basic anatomical knowledge from the lab with its medical applications and current diagnostic techniques. You’ll get the chance to discuss anatomical and clinical problems with peers and experts in forum discussions and you will receive guidance in exploring the wealth of anatomical information that has been gathered over the centuries. Follow us on an exciting journey through the abdomen and pelvis where you digest your food but also where new life starts!","abdomen; pain; wall; pelvic floor; abdominal pain; duodenum; anatomy; Surgery; embryo; spleen","Non Specialization","Non Specialization","Non Specialization","Non Specialization","18, 39","Russian","English","life-sciences","basic-science","5iIbgmdpEeW0sAqIx1_alQ","[NULL]"]
["2. Upskill","Basic Science","Gut Check: Exploring Your Microbiome","University of California San Diego","Intermediate",19.5,4.7,"https://www.coursera.org/learn/microbiome","Imagine if there were an organ in your body that weighed as much as your brain, that affected your health, your weight, and even your behavior. Wouldn’t you want to know more about it? There is such an organ — the collection of microbes in and on your body, your human microbiome.","microbiota; microbiology; qiime; nutrition; immune system; animal behavior; exercise; immunology; diet (nutrition); probiotics","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44188.0,"Catalan","English","life-sciences","basic-science","93w6xNzBEeSvjyIAC3jXcg","[NULL]"]
["2. Upskill","Basic Science","Classical papers in molecular genetics","University of Geneva","[NULL]",33.2,4.74,"https://www.coursera.org/learn/papers-molecular-genetics","You have all heard about the DNA double helix and genes. Many of you know that mutations occur randomly, that the DNA sequence is read by successive groups of three bases (the codons), that many genes encode enzymes, and that gene expression can be regulated.\\n\\nThese concepts were proposed on the basis of astute genetic experiments, as well as often on biochemical results. The original articles were these concepts appeared are however not frequently part of the normal curriculum of biologists, biochemists and medical students.\\n\\nThis course proposes to read study and discuss a small selection of these classical papers, and to put these landmarks in their historical context. Most of the authors displayed interesting personal histories and many of their contributions go beyond not only the papers we will read but probably all their scientific papers.\\n\\nOur understanding of the scientific process, of the philosophy underlying the process of scientific discovery, and on the integration of new concepts is not only important for the history of science but also for the mental development of creative science.","biology; genetics; evolution; biochemistry; microbiology; molecular biology; molecular genetics; genetic engineering; immunology; DNA","Non Specialization","Non Specialization","Non Specialization","Non Specialization","19, 40","None","English","life-sciences","basic-science","jB4S7oIAEeWVOA72XBQbjQ","[NULL]"]
["2. Upskill","Basic Science","From Disease to Genes and Back","Novosibirsk State University","Advanced",17.3,4.66,"https://www.coursera.org/learn/disease-genes","Human genetics explores the genetically determined similarities and differences between human beings. This scientific discipline encompasses a variety of related fields such as molecular genetics, genomics, population genetics and medical genetics. Study of human genetics can help to find answers to questions regarding the inheritance and development of different human phenotypes. The field of medical genetics is quickly growing and dynamically developing thanks to the new technologies such as the next-generation sequencing. \\n\\nMost human diseases have a genetic component. This genetic component varies by disease. Some rare diseases appear to be completely determined by the genome, whereas more common diseases arise from a complex interplay of many genes, the environment and chance. The understanding of how our genomes contribute to disease susceptibility offers the prospect of large gains: it may guide disease diagnostics and prognostics and help in developing new therapies.\\n\\nThe overall goal of this course is to describe how the researchers find genes responsible for different diseases and how this information is used to better understand and fight these diseases. You will learn about current approaches for finding single genetic variants underlying monogenic (Mendelian) diseases and sets of variants responsible for more complex, multifactorial ones. Furthermore, you will learn how the identification of these genetic variants makes it possible to understand how the affected biological pathways lead to disease development. During the final week of the course, we will talk more about clinical applications of the genetic findings.\\n\\nUpon completing the course,  you will be able to:\\n\\n- give examples of monogenic and complex disorders \\n- recognise patterns of Mendelian inheritance of monogenic diseases;\\n- understand and describe principles and methods of gene mapping ;\\n- describe the main steps and principles of genome-wide association studies (GWAS);\\n- give examples of modern technologies that are currently used to find variants underlying human diseases;\\n- discuss the approaches to finding causative variants underlying complex disorders;\\n- discuss the possibilities and areas of application of genetic findings.","analysis; disease; human genome; genome; genetic drift; Human Genetics; genetics; population genetics; genomics; Linkage Analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44035.0,"None","English","life-sciences","basic-science","p2kZV1WKEeeozwrtSTjoGg","[NULL]"]
["2. Upskill","Basic Science","Evidence-based Toxicology","Johns Hopkins University","Advanced",15.6,4.9,"https://www.coursera.org/learn/evidence-based-toxicology","Welcome to the Evidence-based Toxicology (EBT) course. In medicine and healthcare, evidence-based medicine has revolutionized the way that information is evaluated transparently and objectively. Over the past ten years, a movement in North America and Europe has attempted to translate this revolution to the field of toxicology.\\nThe Center for Alternatives to Animal Testing (CAAT) within the department of Environmental Health and Engineering at the Johns Hopkins Bloomberg School of Public Health hosts the first chair for EBT and the secretariat for the EBT Collaboration on both sides of the Atlantic. Based on the Cochrane Collaboration in Evidence-based Medicine, the EBT Collaboration was established at the CAAT to foster the development of a process for quality assurance of new toxicity tests for the assessment of safety in humans and the environment.\\nRegulatory safety sciences have undergone remarkably little change in the past fifty years. At the same time, our knowledge in the life sciences is doubling about every seven years. Systematic review and related evidence-based approaches are beginning to be adapted by regulatory agencies like the Environment Protection Agency (EPA), the European Food Safety Authority (EFSA), and the US National Toxicology Program. They provide transparent, objective, and consistent tools to identify, select, appraise, and extract evidence across studies. \\nThis course will showcase these emerging efforts and address opportunities and challenges to the expanded use of these tools within toxicology.","pharmacology; food safety; clinical pharmacology; biology; evidence-based toxicology; Environmental Studies; dermatology; Chemical Engineering; evidence-based medicine; cosmetics","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44156.0,"None","English","life-sciences","basic-science","qqX5A5isEeeszhIsFImBcA","[NULL]"]
["2. Upskill","Basic Science","Advanced Neurobiology II","Peking University","Intermediate",32.4,4.28,"https://www.coursera.org/learn/advancedneurobiologyii","Hello everyone! Welcome to advanced neurobiology!\\n\\nNeuroscience is a wonderful branch of science on how our brain perceives the external world, how our brain thinks, how our brain responds to the outside of the world, and how during disease or aging the neuronal connections deteriorate. We’re trying to understand the molecular, cellular nature and the circuitry arrangement of how nervous system works.\\n\\nThrough this course, you'll have a comprehensive understanding of basic neuroanatomy, electral signal transduction, movement and several diseases in the nervous system.\\n\\nThis advanced neurobiology course is composed of 2 parts (Advanced neurobiology I and Advanced neurobiology Il). They are related to each other on the content but not on scoring or certification, so you can choose either or both. It’s recommended that you take them sequentially and it’s great if you’ve already acquired a basic understanding of biology.\\n\\nThank you for joining us!","neurobiology; action spectrum; animal; neuroscience; exercise physiology; physiology; attention disorders; pathology; physical therapy; biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","20, 36","None","English","life-sciences","basic-science","xAECfPJkEeWVjQ7bG9CKSw","[NULL]"]
["2. Upskill","Basic Science","Toxicology 21: Scientific Applications","Johns Hopkins University","Intermediate",27.7,4.77,"https://www.coursera.org/learn/toxicology-21","This course familiarizes students with the novel concepts being used to revamp regulatory toxicology in response to a breakthrough National Research Council Report “Toxicity Testing in the 21st Century: A Vision and a Strategy.” We present the latest developments in the field of toxicology—the shift from animal testing toward human relevant, high content, high-throughput integrative testing strategies. Active programs from EPA, NIH, and the global scientific community illustrate the dynamics of safety sciences.","biomonitoring; risk assessment; pharmacy; histology; angiopoietin; pharmacokinetics; pharmacology; chloral hydrate; chromatography; food science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","17, 31","None","English","life-sciences","basic-science","eNZaxJisEee0gxKMK_gOOA","[NULL]"]
["2. Upskill","Basic Science","Network Analysis in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",68.0,4.5,"https://www.coursera.org/learn/network-biology","An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai, but also other freely available data analysis and visualization tools. The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology.","crispr; biomedical engineering; biology; network analysis; evolution; synthetic biology; clinical research; systems biology; molecular biology; biotechnology","Systems Biology and Biotechnology",3.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","20, 99","None","English","life-sciences","basic-science","Vrih-AYnEeWJMSIAC7Jl0w","NvN7YG-tEeWaLg565CxmSw"]
["2. Upskill","Basic Science: Ecology","Discover Best Practice Farming for a Sustainable 2050","University of Western Australia","Beginner",15.8,4.57,"https://www.coursera.org/learn/best-practice-farming-sustainable-2050","The Discover Best Practice Farming for a Sustainable 2050 Course is based on a clear vision: imagine best practice farming for 2050, start to implement these strategies now, all the while making sure it will still be profitable. At UWA we're doing just that with the Future Farm 2050 Project, set on a mixed-enterprise farm in Western Australia and we want you to learn how it can be done in your part of the world.\\nAlthough this course is based on agriculture, it's not only about farming.  It is a multi-disciplinary course that addresses a wide range of issues confronting the industry, including rural communities, rural infrastructure and conservation of biodiversity in agriculture.\\nBy completing this course you will understand that feeding and clothing the planet requires a multi-disciplinary approach\\nand upon completion you will be able to explain best practices of sustainable farming and apply them in new contexts.","organic food; animal; plant; food science; biodiversity; agriculture; sustainability; Plant Biology; nutrition; farm","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43972.0,"None","English","life-sciences","basic-science","j_-Kkrw7Eea5qAp8aGSsAg","[NULL]"]
["2. Upskill","Bioinformatics","Finding Hidden Messages in DNA (Bioinformatics I)","University of California San Diego","Advanced",17.5,4.6,"https://www.coursera.org/learn/dna-analysis","Named a top 50 MOOC of all time by Class Central!\\n\\nThis course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.\\n\\nIn the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin?  We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome.\\n\\nIn the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks.  The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA?  Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA.  Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems.\\n\\nFinally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go \"dormant\" within a host for many years before causing an active infection.","dna; computer-program; computation; motif-searches; biology; algorithms; bioinformatics-algorithms; bioinformatics; computer-programming; python-programming-language","Bioinformatics",1.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[9.5,23.4]","Portuguese","English","life-sciences","health-informatics","eL9HZ2ItEeWpHwqwM9Gg0w"]
["2. Upskill","Bioinformatics","Genome Sequencing (Bioinformatics II)","University of California San Diego","Advanced",18.9,4.68,"https://www.coursera.org/learn/genome-sequencing","You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome?\\n\\nBiologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. \\n\\nIn the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end.  However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together.\\n\\nIn the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise.  You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies.  Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA.  We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance.","algorithms; dynamic-programming; genome; biology; python-programming-language; graphs; bioinformatics; whole-genome-sequencing; bioinformatics-algorithms; computer-programming","Bioinformatics",2.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[10.7,24.8]","Chinese; Portuguese","English","life-sciences","health-informatics","V2Rnzt9KEeWVFwqmKx7D2Q"]
["2. Upskill","Bioinformatics","Comparing Genes, Proteins, and Genomes (Bioinformatics III)","University of California San Diego","Advanced",22.5,4.72,"https://www.coursera.org/learn/comparing-genomes","Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.\\n\\nIn the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins.  We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.\\n\\nIn the second half of the course, we will \"zoom out\" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution.  Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are \"fragile\" and more susceptible to be broken as part of genome rearrangements?  We will see how combinatorial algorithms will help us answer this question.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.","genomics; computer-programming; sequence-alignment; algorithms; genome; graph-theory; bioinformatics-algorithms; python-programming-language; bioinformatics; graphs","Bioinformatics",3.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11,35.3]","NA","English","life-sciences","health-informatics","QxbndN9FEeWxQg6ioCYbHw"]
["2. Upskill","Bioinformatics","Molecular Evolution (Bioinformatics IV)","University of California San Diego","Advanced",23.0,4.67,"https://www.coursera.org/learn/molecular-evolution","In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes.  One way we can use these methods is in order to construct a \"Tree of Life\" showing how a large collection of related organisms have evolved over time.\\n\\nIn the first half of the course, we will discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans.\\n\\nIn the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs.  How can we prove this?  In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines.","bioinformatics; molecular-evolution; evolution; algorithms; phylogenetics; animal; chicken; upgma; introduction-to-evolution; phylogenetic-tree","Bioinformatics",4.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[11.4,34.9]","Spanish","English","life-sciences","health-informatics","5hRQhN9AEeWsvwp02yXW0Q"]
["2. Upskill","Bioinformatics","Genomic Data Science and Clustering (Bioinformatics V)","University of California San Diego","Advanced",11.8,4.12,"https://www.coursera.org/learn/genomic-data","How do we infer which genes orchestrate various processes in the cell?  How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.\\n\\nIn the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data.\\n\\nIn the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the \"signal\" in the data.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering.","cluster analysis; Expression Profiling; cancer research; bioinformatics; computational biology; genetic algorithms; critical thinking; computational genomics; algorithms; genomics","Bioinformatics",5.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!",43969.0,"None","English","life-sciences","health-informatics","X_CuLfb0EeWfYgqbi1xsdw","iA5wD-V1EeWrIg44CVcT0Q"]
["2. Upskill","Bioinformatics","Finding Mutations in DNA and Proteins (Bioinformatics VI)","University of California San Diego","Advanced",21.7,4.59,"https://www.coursera.org/learn/dna-mutations","In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.\\n\\nIn the first half of the course, we would like to ask how an individual's genome differs from the \"reference genome\" of the species. Our goal is to take small fragments of DNA from the individual and \"map\" them to the reference genome.  We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory.\\n\\nIn the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.  This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it.  The approach we will use is based on a powerful machine learning tool called a hidden Markov model.\\n\\nFinally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins.","markov-model; suffix-tree; bioinformatics; dna; viterbi-algorithm; algorithms; trie; modeling; genomics; python-programming-language","Bioinformatics",6.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[12,31.3]","NA","English","life-sciences","health-informatics","M5IS7Pw3EeW3kAo3Iffzfw"]
["2. Upskill","Bioinformatics","Bioinformatics Capstone: Big Data in Biology","University of California San Diego","Beginner",14.6,4.74,"https://www.coursera.org/learn/bioinformatics-project","In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.\\n\\nIn particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample.\\n\\nPlus, hacker track students will have the option to build their own genome assembler and apply it to real data!","exome-sequencing; computation; genome; bioinformatics; outbreak; biology; gene; computational-biology; principle; gene-expression","Bioinformatics",7.0,"https://www.coursera.org/specializations/bioinformatics","Join Us in a Top 50 MOOC of All Time!\\n\\nHow do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?\\n\\nWhen you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.\\n\\nAlthough this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an \"Honors Track\" (called \"hacker track\" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!\\n\\nLearn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.\\n\\nYou can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.\\n\\nOur first course, \"Finding Hidden Messages in DNA\", was named a top-50 MOOC of all time by Class Central!","[9.3,18.4]","NA","English","life-sciences","health-informatics","lJq1w_eLEeWVVBJOyMKIHw"]
["2. Upskill","Bioinformatics","Big Data Science with the BD2K-LINCS Data Coordination and Integration Center","Icahn School of Medicine at Mount Sinai","Intermediate",13.6,4.73,"https://www.coursera.org/learn/bd2k-lincs","The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more. These perturbations are applied to various types of human cells including induced pluripotent stem cells from patients, differentiated into various lineages such as neurons or cardiomyocytes. Then, to better understand the molecular networks that are affected by these perturbations, changes in level of many different variables are measured including: mRNAs, proteins, and metabolites, as well as cellular phenotypic changes such as changes in cell morphology. The BD2K-LINCS Data Coordination and Integration Center (DCIC) is commissioned to organize, analyze, visualize and integrate this data with other publicly available relevant resources. In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.","Dna Methylation; rna-seq; reporting guidelines; gene knockdown; genomics; big data; quantile normalization; communication sciences; mcf-7; gene set enrichment analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44059.0,"None","English","life-sciences","basic-science","zfMry-S0EeW_yhIcE2bZaw","[NULL]"]
["2. Upskill","Bioinformatics","Biology Meets Programming: Bioinformatics for Beginners","University of California San Diego","Advanced",19.1,4.4,"https://www.coursera.org/learn/bioinformatics","Are you interested in learning how to program (in Python) within a scientific setting?\\n\\nThis course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.  It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, \"Finding Hidden Messages in DNA\" (https://www.coursera.org/learn/dna-analysis).\\n\\nEach of the four weeks in the course will consist of two required components.  First, an interactive textbook provides Python programming challenges that arise from real biological problems.  If you haven't programmed in Python before, not to worry! We provide \"Just-in-Time\" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz.\\n\\nLecture videos are also provided that accompany the material, but these videos are optional.","computer-programming; algorithms; programming-language; bioinformatics; dna; genetics; biology; molecular-biology; python-programming-language; bioinformatics-algorithms","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,27.6]","Portuguese; Russian","English","life-sciences","health-informatics","4vLX1NAeEeWihQ6ogHC6vQ"]
["2. Upskill","Bioinformatics","Bioinformatics: Introduction and Methods 生物信息学: 导论与方法","Peking University","Advanced",32.5,4.67,"https://www.coursera.org/learn/bioinformatics-pku","A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research.\\n\\nCourse materials are available under the CC BY-NC-SA License.","bioinformatics-analysis; genome; bioinformatics; biology; quantum-computing; biotechnology; evolution; dna; computer-programming; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,42.7]","NA","English","life-sciences","health-informatics","HyhQe5oTEeWyeQoPPm9u3w"]
["2. Upskill","Bioinformatics","Big Data, Genes, and Medicine","The State University of New York","Intermediate",33.3,4.12,"https://www.coursera.org/learn/data-genes-medicine","This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results.\\n\\nNeedless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases.","data clustering algorithms; r programming; algorithms; medicine; big data; gene; bioinformatics; genetics; DNA; genomics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15, 58","None","English","life-sciences","health-informatics","QrJStTJkEeaVZA5K9cHVCQ","[NULL]"]
["2. Upskill","Bioinformatics","Bioinformatic Methods I","University of Toronto","Intermediate",12.9,4.64,"https://www.coursera.org/learn/bioinformatics-methods-1","Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. \\n\\nTopics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. \\n\\nThe first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. \\n\\nThe second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. \\n\\nThis pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. \\n\\nThese courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course. \\n\\nBioinformatic Methods I is regularly updated, and was completely updated for January 2020.","sequence-alignment; bioinformatics-analysis; phylogenetic-tree; comparative-genomics; bioinformatics; blast; phylogenetics; genomics; metagenomics; analysis","Plant Bioinformatic Methods",1.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[8.4,16.1]","NA","English","life-sciences","health-informatics","5uXCfFu2EeSU0SIACxCMgg"]
["2. Upskill","Bioinformatics","Bioinformatic Methods II","University of Toronto","Intermediate",10.9,4.65,"https://www.coursera.org/learn/bioinformatics-methods-2","Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. \\n\\nTopics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. \\n\\nThe first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. \\n\\nThis, the second part, Bioinformatic Methods II, will cover motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. \\n\\nThis pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine.\\n\\nThese courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course although some command line work (though within a web browser) occurs in the 5th module.\\n\\nBioinformatic Methods II is regularly updated, and was last updated for March 2020.","bioinformatics; database; analysis; gene; gene-expression; gene-expression-analysis; bioconductor; learning; protein; integration-testing","Plant Bioinformatic Methods",2.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[6.3,13.7]","NA","English","life-sciences","health-informatics","IfDtq1vFEeSKTyIAC0YL2w"]
["2. Upskill","Bioinformatics","Plant Bioinformatics","University of Toronto","Advanced",13.8,4.79,"https://www.coursera.org/learn/plant-bioinformatics","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under \"normal\" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question \"what processes/pathways are being perturbed in our mutant of interest?\"\\n\\nStructure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary.\\n\\nTools covered:\\nModule 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser\\nModule 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species other than Arabidopsis, MPSS database for small RNAs\\nModule 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2\\nModule 4: PROMOTER ANALYSIS. Cistome, Athena, ePlant\\nModule 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome)\\nModule 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA\\n\\n[Material updated in June 2019]","plant; gene-bank; ontology-information-science; cell-biology; gene; network-analysis; phylogenetics; gene-banks; bioinformatics; genetic-engineering","Plant Bioinformatic Methods",3.0,"https://www.coursera.org/specializations/plant-bioinformatic-methods","The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of \"-seq\"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.","[6.4,17.2]","NA","English","life-sciences","health-informatics","mcijkf1VEeezpgor_5vl3A"]
["2. Upskill","Bioinformatics","Dynamical Modeling Methods for Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",19.7,4.75,"https://www.coursera.org/learn/dynamical-modeling","An introduction to dynamical modeling techniques used in contemporary Systems Biology research.\\n\\nWe take a case-based approach to teach contemporary mathematical modeling\\ntechniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments. The course should also be valuable as an introductory overview for students planning to conduct original research in modeling biological systems.\\n\\nThis course focuses on dynamical modeling techniques used in Systems Biology research.  These techniques are based on biological mechanisms, and simulations with these models generate predictions that can subsequently be tested experimentally. These testable predictions frequently provide novel insight into biological processes. The approaches taught here can be grouped into the following categories: 1) ordinary differential equation-based models, 2) partial differential equation-based models, and 3) stochastic models.","matlab; computational biology; biomedical engineering; biology; biotechnology; mathematical model; systems biology; molecular dynamics; molecular modelling; differential equations","Systems Biology and Biotechnology",4.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","13, 24","None","English","life-sciences","health-informatics","Rwzrl_9rEeS9ISIACxWDhA","NvN7YG-tEeWaLg565CxmSw"]
["2. Upskill","Biostatistics","Summary Statistics in Public Health","Johns Hopkins University","Beginner",14.2,4.77,"https://www.coursera.org/learn/summary-statistics","Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.","relative risk; kaplan meier estimator; estimator; summary statistics; risk; survival analysis; data analysis; biostatistics; statistics; analysis","Biostatistics in Public Health",1.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.",44092.0,"None","English","life-sciences","public-health","Y26ZS0Q4EeiUTQp9cpO08g","YvWZIUQ4EeiXyA7dYFHEvA"]
["2. Upskill","Biostatistics","Hypothesis Testing in Public Health","Johns Hopkins University","Advanced",20.3,4.81,"https://www.coursera.org/learn/hypothesis-testing-public-health","Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.","hypothesis testing; biostatistics; public health; medical statistics; hypothesis; bioethics; statistical hypothesis testing; drug rehabilitation; hormone replacement therapy; medicine","Biostatistics in Public Health",2.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.",44165.0,"None","English","life-sciences","public-health","udpRKkQ4EeitXApS0Q-8QA","YvWZIUQ4EeiXyA7dYFHEvA"]
["2. Upskill","Biostatistics","Simple Regression Analysis in Public Health","Johns Hopkins University","Advanced",17.3,4.65,"https://www.coursera.org/learn/simple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.","hazard function; bilirubin; medicine; medical statistics; public health; simple linear regression; biostatistics; psychological abuse; regression analysis","Biostatistics in Public Health",3.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.",44129.0,"None","English","life-sciences","public-health","yaJi8EQ4EeiajA5pPRmC1g","YvWZIUQ4EeiXyA7dYFHEvA"]
["2. Upskill","Biostatistics","Multiple Regression Analysis in Public Health","Johns Hopkins University","Advanced",14.0,4.58,"https://www.coursera.org/learn/multiple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.","bilirubin; hazard ratio; bioethics; public health; medical statistics; biostatistics; regression analysis; medicine; statistics; stata","Biostatistics in Public Health",4.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.",44090.0,"None","English","life-sciences","health-informatics","2sp52EQ4EeiCyQ6cvCVnGA","YvWZIUQ4EeiXyA7dYFHEvA"]
["2. Upskill","Biostatistics","Introduction to Statistics & Data Analysis in Public Health","Imperial College London","Advanced",12.1,4.68,"https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health","Welcome to Introduction to Statistics & Data Analysis in Public Health!\\n\\nThis course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","medical statistics; statistics; statistical analysis; computer programming; analysis; statistical hypothesis testing; hypothesis testing; r programming; hypothesis; rstudio","Statistical Analysis with R for Public Health",1.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.",43998.0,"None","English","life-sciences","public-health","wYVFrFUOEeiXDgqeSsw0yA","9GJm7lUPEeisFQ4yhHotIA"]
["2. Upskill","Biostatistics","Linear Regression in R for Public Health","Imperial College London","Advanced",13.1,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","r programming; linear regression; analysis; medical statistics; statistical analysis; categorical variable; public health; health; linearity","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.",44028.0,"None","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg","9GJm7lUPEeisFQ4yhHotIA"]
["2. Upskill","Biostatistics","Logistic Regression in R for Public Health","Imperial College London","Advanced",10.1,4.77,"https://www.coursera.org/learn/logistic-regression-r-public-health","Welcome to Logistic Regression in R for Public Health! \\n\\nWhy logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. \\n\\nBy the end of this course, you will be able to: \\nExplain when it is valid to use logistic regression \\nDefine odds and odds ratios \\nRun simple and multiple logistic regression analysis in R and interpret the output \\nEvaluate the model assumptions for multiple logistic regression in R \\nDescribe and compare some common ways to choose a multiple regression model \\n\\nThis course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. \\n\\nWe hope you enjoy the course!","medical statistics; statistical analysis; computer programming; survival analysis; r programming; logistic regression; supply chain; analysis; diabetes","Statistical Analysis with R for Public Health",3.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.",43994.0,"None","English","life-sciences","public-health","HIWhL1UPEeiYKRJKvk-prg","9GJm7lUPEeisFQ4yhHotIA"]
["2. Upskill","Biostatistics","Survival Analysis in R for Public Health","Imperial College London","Advanced",10.7,4.13,"https://www.coursera.org/learn/survival-analysis-r-public-health","Welcome to Survival Analysis in R for Public Health!\\n\\nThe three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context. Using the popular and completely free software R, you’ll learn how to take a data set from scratch, import it into R, run essential descriptive analyses to get to know the data’s features and quirks, and progress from Kaplan-Meier plots through to multiple Cox regression. You’ll use data simulated from real, messy patient-level data for patients admitted to hospital with heart failure and learn how to explore which factors predict their subsequent mortality. You’ll learn how to test model assumptions and fit to the data and some simple tricks to get round common problems that real public health data have. There will be mini-quizzes on the videos and the R exercises with feedback along the way to check your understanding.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. The three previous courses in the series explained concepts such as hypothesis testing, p values, confidence intervals, correlation and regression and showed how to install R and run basic commands. In this course, we will recap all these core ideas in brief, but if you are unfamiliar with them, then you may prefer to take the first course in particular, Statistical Thinking in Public Health, and perhaps also the second, on linear regression, before embarking on this one.","computer programming; calculus; health; statistical analysis; diabetes; r programming; proportional hazards model; analysis; medical statistics; survival analysis","Statistical Analysis with R for Public Health",4.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.",43994.0,"None","English","life-sciences","public-health","HStXPFUPEeijOhIn2e06zA","9GJm7lUPEeisFQ4yhHotIA"]
["2. Upskill","Clinical Research","Clinical Epidemiology","Utrecht University","Advanced",15.0,4.74,"https://www.coursera.org/learn/clinical-epidemiology","Evidence forms the basis of modern medicine. Clinical research provides us with this evidence, guiding health professionals towards solutions to problems that they face in daily practice. Transferring existing problems in medical practice to a research setting is a challenging process that requires careful consideration. The practice of clinical epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective.\\n\\nThis course teaches the principles and practice of clinical epidemiology, drawing on real problems faced by medical professionals and elaborating on existing examples of clinical research. Medical researchers will lean how to translate real clinical problems into tangible research questions for investigation, gaining insight into some of the most important considerations when designing an epidemiological study along the way. \\n\\nCore concepts will be introduced along four key themes: diagnosis, prognosis, treatment and etiology. Followers of this course will develop their understanding of the topics addressed through lectures from experts, peer interaction and review assignments.","milk allergy; epidemiology; clinical research; challenge dechallenge rechallenge; clinical study design; clinical epidemiology; d-dimer; causal research; medical research; clinical trials","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44124.0,"None","English","life-sciences","basic-science","ZUGlRpzbEeWIXgpWJNgyEw","[NULL]"]
["2. Upskill","Clinical Research","Design and Interpretation of Clinical Trials","Johns Hopkins University","Beginner",11.0,4.72,"https://www.coursera.org/learn/clinical-trials","Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.\\nThe course will explain the basic principles for design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. We will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, we will explain how clinical trials are analyzed and interpreted. Finally, we will review the essential ethical consideration involved in conducting experiments on people.","clinical-trial; randomization; analysis; trial-design; interpretation; clinical-research; clinical-trials; clinical-study-design; clinical-trial-design; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.7,12.7]","NA","English","life-sciences","research","SzQW47gfEeW2iwpbOuagWQ"]
["2. Upskill","Clinical Research","Understanding Clinical Research: Behind the Statistics","University of Cape Town","Intermediate",22.9,4.74,"https://www.coursera.org/learn/clinical-research","If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. \\n\\nIf you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!\\n\\nThe course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!  Financial Aid is also available.","statistical-hypothesis-testing; clinical-research; statistical-analysis; statistical-methods; data-analysis; analysis; statistics; statistical-tests; hypothesis; data-uri-scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15,26.8]","NA","English","life-sciences","research","sQB40x47EeWS6wrbVw_uEw"]
["2. Upskill","Clinical Research","Data Management for Clinical Research","Vanderbilt University","Beginner",25.2,4.71,"https://www.coursera.org/learn/clinical-data-management","This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.\\n\\nUnderstanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. \\n\\nThis course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.","data-management; data-segment; survey-design; clinical-research; data-uri-scheme; clinical-data-management; data-collection; redcap; learning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.2,29.1]","NA","English","life-sciences","research","-nkoihN6EeWCWhKuhISYpw"]
["2. Upskill","Cognitive Disease Support","Living with Dementia: Impact on Individuals, Caregivers, Communities and Societies","Johns Hopkins University","Intermediate",19.5,4.69,"https://www.coursera.org/learn/dementia-care","Health professionals and students, family caregivers, friends of and affected individuals, and others interested in learning about dementia and quality care will benefit from completing the course. Led by Drs. Nancy Hodgson and Laura Gitlin, participants will acquire foundational knowledge in the care of persons with Alzheimer’s Disease and other neurocognitive disorders.","dementia; caring for people with dementia; geriatrics; personhood; behavior management; advance care planning; alzheimer's disease; nursing; psychotherapy; occupational therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44104.0,"Chinese","English","life-sciences","patient-care","06MZFeI6EeWLHw5Kc9wFbw","[NULL]"]
["2. Upskill","Cognitive Disease Support","Severe to Profound Intellectual Disability: Circles of Care and Education","University of Cape Town","Beginner",13.3,4.78,"https://www.coursera.org/learn/intellectual-disability-care-education","This course is about caring for and educating children (and youth) with severe to profound intellectual disability. We use the idea of 'circles' to position the child at the center of the many levels of support needed. Around the child are circles of care and education - such as the parents, family, friends, caregivers, educators, health care workers and others such as neighbors, business owners and community members. Each one has an important role to play in the life of a person with an intellectual disability and can be seen as a caregiver and educator. Although this course is aimed particularly at caregivers who work at a  special centre or in a private home, each person in the circle of care and education plays a valuable role and will find the course useful.  \\n\\nDuring the course you can gain greater understanding about intellectual disability,  levels of severity of intellectual disability and the history of intellectual disability. You will also start to understand how you can support children and youth with severe to profound intellectual disability so that they can reach their full potential and become participating members of society.  We look at lifelong learning by exploring brain development, the learning process and how to maximise the opportunities for learning.\\n\\nWith input from a range of experts,  we consider how best learning can be facilitated.  This includes looking at children’s learning support needs, how to go about planning activities for the learning programme as well as how to empower multiple people who work in a team to care and educate children with severe to profound intellectual disability.\\n\\nIn the last week, we focus on rights, advocacy and relationships of care. Empowering and caring for caregivers themselves is a key focus of the course.\\n\\nFor professional development purposes, you can purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you can apply for Financial Aid if you are unable to pay the certificate fee.","intellectual disability; education; personal development; Special Education; acquired characteristic; absolute neutrophil count; avoidance response; acinetobacter baumannii; learning disabilities; abscisic acid","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44061.0,"None","English","life-sciences","healthcare-management","CF-ULqSTEemZwA5BVRBUoA","[NULL]"]
["2. Upskill","EMT Training","EMT Foundations","University of Colorado System","Intermediate",13.4,4.86,"https://www.coursera.org/learn/emt-foundations","In this course, you will get a thorough introduction to the emergency medical services system, and learn the foundation components to how it works as a whole. You will also learn the nuts and bolts of becoming a healthcare provider, and gain some basic knowledge about the human body. By the end of the course, you will be able to 1) understand the history and components of the EMS system, 2) speak the language of medicine with basic medical terminology, as well as have an understanding of basic human anatomy, 3) understand the different types of communications and how they are specific to EMS, 4) take vital signs and master the normal from the abnormal, and 5) master personal and scene safety, and begin the process of patient assessment.","safety; emergency; nursing; medicine; anatomy; pediatrics; first aid; forensic psychology; emergency medicine; emergency management","Become an EMT",1.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",44030.0,"None","English","life-sciences","patient-care","7cva0NbJEeeiOg7RPq0TXg","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","EMT Training","Medical Emergencies: Airway, Breathing, and Circulation","University of Colorado System","Intermediate",13.6,4.77,"https://www.coursera.org/learn/medical-emergencies-airway-breathing-circulation","In this course, you will develop the knowledge and skills to assess and stabilize certain types of patients for transport. By the end of this course, you will be able to: 1) assess a basic medical patient 2) describe general pharmacologic principles and the skills associated with medication administration, 3) explain airway physiology, the assessment of the airway and available interventions for airway management, 4) identify, assess and formulate a plan to stabilize a patient with a respiratory emergency for transport, and 5) identify, assess and formulate a plan to stabilize a patient with a cardiovascular emergency for transport. 6) describe the most common neurologic and endocrine emergencies and what you can do for them as an EMT.","Gynecology; medicine; emergency management; forensic psychology; nursing; pharmacology; emergency medicine; first aid; medical emergency; emergency","Become an EMT",2.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",44001.0,"None","English","life-sciences","patient-care","hXu56dbMEeeBYxJ3ceJtRg","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","EMT Training","Medical Emergencies: CPR, Toxicology, and Wilderness","University of Colorado System","Intermediate",13.3,4.86,"https://www.coursera.org/learn/medical-emergencies-cpr-toxicology-wilderness","In this course, you will develop the knowledge and skills to assess and stabilize certain types of patients for transport. By the end of this course, you will be able to: (1) Identify the signs and symptoms associated with a patient in shock, to describe the major categories of shock, to assess a patient with signs of shock and formulate a plan for treatment to stabilize the patient for transport, (2) Identify a patient in cardiac arrest and to describe the components of high performance CPR including placement of an AED, components of quality chest compressions, and options for oxygenation, (3) Identify a patient with under the influence of a drug of abuse or a toxicologic ingestion, assess a patient with a potential or known ingestion, and to formulate a plan for treatment and stabilization for transport including that of a violent patient, (4) Identify the symptoms associated with the most common environmental emergencies including hypothermia, hyperthermia, lightning strike and drowning, to assess patients with an environmental emergency and to describe initial treatment and stabilization for transportation and (5) Understanding your patient's story as well as to think critically about the complaint and symptoms associated with the gastrointestinal track, renal system, and the reproductive system.","forensic psychology; nosebleed; sample history; emergency; nursing; heat cramps; health; crime scene; first aid; emergency medicine","Become an EMT",3.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",43997.0,"None","English","life-sciences","patient-care","nBmsoNbMEeelahJ6QeV7ig","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","EMT Training","Trauma Emergencies and Care","University of Colorado System","Intermediate",12.4,4.85,"https://www.coursera.org/learn/trauma-emergencies-and-care","Welcome to Trauma Emergencies and Care. In this course, you will learn about some of the mechanics and physics of trauma on the human body, and how this can cause injury. You will continue to expand your new vocabulary with medical terminology, and learn how to describe the different injuries you may see. You will also learn about the trauma system itself- and when it is important to transport patients to a trauma center. \\n\\nThen we will dive into specific injuries based on what part of the body may be injured- or trauma by system. There are different considerations in the trauma patients depending on both how, and where, they are injured. And of course- you will learn your standard approach to a history and physical exam of the trauma patient.\\n\\nFinally, you will learn about something that you hope to never encounter: mass casualty incidents, or MCI’s. These are occurrences where you may have multiple patients, and there is an organized and specific approach as a provider in these circumstances.","medicine; ecchymosis; health; pelvic binder; emergency; nursing; forensic psychology; physical therapy; first aid; emergency medicine","Become an EMT",4.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",43965.0,"None","English","life-sciences","patient-care","pvPpHrCNEei-Ngpm2KERGA","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","EMT Training","Emergency Care: Pregnancy, Infants, and Children","University of Colorado System","Intermediate",15.0,4.88,"https://www.coursera.org/learn/emergency-care-pregnancy-infants-children","Welcome to the final course of lectures in your quest to master EMT basics. In this course, we will cover some of the highest-stress patient populations: pregnant patients and kids, also known as pediatrics. To wrap up your EMT knowledge we will end this course with information about hazmat situations, extricating patients from tight spots and finally how you write a note about your patient care.  You will learn to ensure it communicates what your assessment of the patient was, what interventions you performed and why you did them.\\n\\nYou will build on your knowledge of anatomy, patient assessment and scene safety to develop an approach to these new patient populations. We will walk through the things that make pregnant patients and pediatric patients different but also what makes them the same as all the patients you care for.\\n\\nPrepare yourself for some noisy kids, some uncomfortable moms and hopefully a lot of fun learning new things.","Gynecology; health; bloody show; first aid; pediatrics; infant; nursing; childbirth; pregnancy; emergency medicine","Become an EMT",5.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",43998.0,"None","English","life-sciences","patient-care","urHGGbCNEeiFTA7bwPBOQA","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","EMT Training","Prepare for the EMT Certification Test","University of Colorado System","Intermediate",22.1,4.7,"https://www.coursera.org/learn/prepare-emt-certification-test","Welcome to your final course in Become and EMT!  Prepare for the National Registry exam. \\nThe title for this course is a little bit misleading.  We do hope that at the completion of this course that you feel more prepared to take the skills portion as well as the written portion of the national registry exam.  More than anything else, however, our greatest hope is that we have given you the knowledge and tools to provide high quality patient care once you are certified as an EMT or once you achieve whatever level of patient care provider you aspire to.  I think many of you have experienced in school or other training the difference between knowing the information needed to pass a test and being able to apply that information to a real life problem.  We want you to be able to apply your knowledge! \\n\\nTo accomplish this, there will be videos from prior courses to review, links to the national registry patient care checklists, and you will use these resources to complete a series of patient care scenarios that challenge you to apply what you have learned over the past 5 courses.  \\n\\nThe next couple of weeks are designed to stretch your knowledge and guide you to apply it to potentially real patient presentations.  In addition, you will have the opportunity to practice peer review on the care plans that your fellow learners put together.  Not only does this provide you the opportunity to see what other people would do in a similar situation but also reinforces your understanding of the material.  Good luck and have fun with this last portion of the specialization!","body regions; crime scene; emergency medicine; Gynecology; central administration; health; area studies; emergency; nursing; first aid","Become an EMT",6.0,"https://www.coursera.org/specializations/become-an-emt","Health care is an exciting and ever growing profession that can take you many different directions. You can apply the fundamentals you learn here about emergent patient care, stabilization, and disease processes toward becoming an EMT or further health care pursuits. In this specialization you will learn to care for stable and unstable patients before they get to a hospital, how to identify time sensitive diseases, and medical and traumatic conditions that affect both adults and pediatric patients.\\n\\nCourse 1 ensures you can assess a scene and prepare to provide care, understand the framework for patient assessment, history of emergency medical services, and the personal requirements to be an EMT. Course 2 addresses airway, breathing and circulation, medications and medication administration that EMTs are allowed to provide, and how to identify a patient having a stroke or diabetic emergency. Course 3 covers skills related to high performance CPR or cardiopulmonary resuscitation, toxicology, and wilderness emergency medicine. Course 4 will offer skills for trauma emergencies and Course 5 focuses pregnancy, infants and pediatrics.\\n\\nEssential skills are demonstrated throughout the specialization. Finally, apply the course materials to real patient scenarios in the Capstone to help prepare you for national registry testing.",44063.0,"None","English","life-sciences","patient-care","yNwtKrCNEeizzA4k3YsTXg","7XpgKtbJEeeqmw6nM3tfUg"]
["2. Upskill","Health and Wellness","Hacking Exercise For Health. The surprising new science of fitness.","McMaster University","Intermediate",8.5,4.67,"https://www.coursera.org/learn/hacking-exercise-health","Renowned exercise physiologists Martin Gibala and Stuart Phillips of McMaster University teach the surprising new science of cardio fitness and strength-building—and then provide you with hacks to get fit and strong (and healthy!) in less time than you ever thought possible. What’s the right mix of exercise between cardio and strength? How do you know if you’re working out hard enough? What’s better, heavy or light weights? These questions and more are addressed through a course designed to provide even the most inexperienced of exercisers the tools you need to design time-efficient workouts that can be done virtually anywhere, from your own home to a city park or even at your workplace. \\n\\nMarty and Stu are good friends and colleagues who just happen to be two of the world’s most passionate scholars in the science of fitness. They aim to entertain you while they’re describing the relationship between exercise and health. Marty is a pioneer in the field of interval training, the technique of varying your workout intensity to get fit faster than anyone ever thought possible. Stu’s studies proved that lifting lighter weights can be a highly effective strength-building technique—plus he’s a leading expert in dietary protein and muscle. \\n\\nIn Hacking Exercise for Health, you’ll follow Marty and Stu as they teach you the basics about the way your body boosts its fitness and strength. Next, they’ll apply that theory, providing you with a series of do-anywhere workouts and, most importantly, teaching you what you need to know to design your own sessions. Filled with inspirational practical tips, fun quizzes, interactive community participation and assignments designed to help you remember your lessons, Hacking Exercise for Health will give you the tools and techniques to incorporate exercise into your life, no matter how busy you are.","physiology; exercise physiology; weight loss; history; health; Planning; healthy diet; exercise; interest","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43932.0,"Spanish","English","life-sciences","basic-science","aExbjXArEemCphJjS7gqYA","[NULL]"]
["2. Upskill","Health and Wellness","Science of Exercise","University of Colorado Boulder","Intermediate",16.9,4.74,"https://www.coursera.org/learn/science-exercise","Learners who complete Science of Exercise will have an improved physiological understanding of how your body responds to exercise, and will be able to identify behaviors, choices, and environments that impact your health and training. You will explore a number of significant adjustments required by your body in order to properly respond to the physical stress of exercise, including changes in carbohydrate, fat and protein metabolism, nutritional considerations, causes of muscle soreness & fatigue, and the effectiveness and dangers of performance enhancing drugs. Active learning assessments will challenge you to apply this new knowledge via nutrition logs, heart rate monitoring, calculations of your total daily caloric expenditure and body mass index (BMI). Finally, learners will examine the scientific evidence for the health benefits of exercise including the prevention and treatment of heart disease, diabetes, cancer, obesity (weight loss), depression, and dementia.","Fitness And Nutrition; endurance; exercise; medicine; nutrition; physiology; training; human error assessment and reduction technique; learning; carbohydrate","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44094.0,"Catalan","English","life-sciences","basic-science","KC6DzQqDEeenAhJZe8ktbg","[NULL]"]
["2. Upskill","Health and Wellness","Biohacking Your Brain's Health","Emory University","Beginner",8.7,4.53,"https://www.coursera.org/learn/biohacking-your-brains-health","With deteriorating health, particularly brain health, occurring at a global level, this course introduces you to methods for maximizing your brain's fitness through nutrition, exercise, meditation, and sleep. We'll debunk popular myths about prescribed practices for overall health and then uncover studies from the last few decades revealing practical routines and interventions that are proven to help improve the brain. You'll also get a glimpse at the brain's structure and common brain functions, as well as a \"prescription\" each week of tips for improving your brain's health.","ketogenic diet; alzheimer's disease; pathology; japanese language; occupational therapy; meditation; neuropsychology; exercise; psychotherapy; intermittent fasting","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43902.0,"German; Japanese","English","life-sciences","basic-science","FnYWqvRpEeaSoxJ1RANdFA","[NULL]"]
["2. Upskill","Health and Wellness","Engineering Health: Introduction to Yoga and Physiology","New York University Tandon School of Engineering","Advanced",97.3,4.82,"https://www.coursera.org/learn/engineering-health-yoga-physiology","This course gives you access to an exploration of physiological systems from the perspective of overall health and wellness. In particular, a focus on yoga, meditation and mindfulness as a therapeutic intervention in chronic illness and long term treatment. This course is intended for yoga practitioners and teachers, as well as college students and medical practitioners looking for a deeper understanding of the physiological benefits of yoga. The value of taking this course is to understand the impact that yoga can have on reducing stress, and aiding in healing or preventing physiological pathologies. Throughout this course, we will learn about different physiological systems and highlight yoga practices that can influence different systems and reduce pathology. Reading material will include analysis of scientific studies that have successfully utilized yoga practice as a tool for treatment of various illnesses such as: hypertension, stress, diabetes, insomnia, chronic pain and PTSD. In order to understanding these conditions, lectures will provide a complete understanding of the correlating physiological system. The weekly course assignment will include physiology lectures,  a weekly yoga practice, suggested readings,  and optional discussions for a total of 3-5 hours per week. The course will provide a tremendous amount of information and  hands on experience for those interested in alternative health perspectives and a more in depth scientific understanding of this ancient healing method.","anatomy; Cooking; meditation; mindfulness (psychology); psychology; physiology; health; healing; physical therapy; mindfulness","Non Specialization","Non Specialization","Non Specialization","Non Specialization","19, 175","None","English","life-sciences","basic-science","cKYdUFh2Eei-TBLgOSj5Og","[NULL]"]
["2. Upskill","Health and Wellness","A Life of Happiness and Fulfillment","Indian School of Business","Intermediate",30.1,4.75,"https://www.coursera.org/learn/happiness","What are the determinants of a happy and fulfilling life?\\n\\nThis is surely one of life’s biggest questions, and a question that has interested many of our ancestors. Buddha famously gave up his kingdom in search of happiness. Several Greek philosophers (from Aristotle to Epicurus and Plato to Socrates) had their own views on what it takes to be happy. And of course, we all have our own theories about happiness too.\\n\\nHow valid are our theories?\\n\\nUntil recently, if you wished for an answer to this question, you would've been forced to base it on discussions with spiritual leaders. Or, if you were lucky, you could've based it on late-night (and perhaps intoxicant-fueled) conversations with friends and family. Happily, all that has changed now. Over the past decade-and-a-half, scientists have gotten into the act big time. We now have a pretty good idea of what it takes to lead a happy and fulfilling life.\\n\\nThis course, based on the award-winning class offered both at the Indian School of Business and at the McCombs School of Business at The University of Texas at Austin, developed by Prof. Raj Raghunathan (aka \"Dr. Happy-smarts\") draws content from a variety of fields, including psychology, neuroscience, and behavioral decision theory to offer a tested and practical recipe for leading a life of happiness and fulfillment. \\n\\nAlthough not mandatory, reading Prof. Raj's forthcoming book, titled If you're so smart, why aren't you happy? can help you review and assimilate the material covered in this book at your leisure. \\n\\nFor Coursera learners alone, the hardcover version of the book is available for a deep discount of 50%, plus shipping and handling. You can order the hardcover for 50% off by writing to Aaron at: Aaron@800ceoread.com. Please mention that you are a student of the \"coursera happiness course\" in your email. \\n\\nThe course will feature guest appearances by several well-known thought leaders, including:\\n      - Dan Ariely (author of Predictably Irrational and, soon to be released, Irrationally Yours),\\n      - Ed Diener (“Dr. Happiness”),\\n      - Mihaly Csikszentmihalyi (author of Flow),\\n\\nBy taking this course, you will discover the answers to questions such as:\\n      - Why aren’t the smart-and-the-successful as happy as they could—or should—be\\n      - What are the “7 Deadly Happiness Sins” that even the smart and the successful commit?, and\\n      - What are the “7 Habits of the Highly Happy” and how can you implement them in your life?\\n\\nBy the end of the course, I expect students who have been diligent with the lectures and exercises to not just gain a deeper understanding of the science of happiness, but to also be significantly happier.","meditation; happiness; internality; learning; internal control; compassion; flow network; stress; gratitude; mindfulness","Non Specialization","Non Specialization","Non Specialization","Non Specialization","21, 39","Vietnamese; Portuguese; Russian; Chinese; Spanish","English","life-sciences","psychology","QEXoJRBmEeWhsgqB1eduww","[NULL]"]
["2. Upskill","Health and Wellness","Healthy Practices: Nutrition, Physical Activity, and Community and Family Participation","University of Colorado System","Intermediate",3.9,4.85,"https://www.coursera.org/learn/healthy-practices-nutrition-physical-activity-community-family-participation","In this course you will find a comprehensive overlook of healthy practices in public schools in the USA, including: physical activity and nutrition in the school setting. We will review the basics of some of the regulatory programs found in the United States that support healthy students through nutrition education and nutrition programs. You will be able to explain some of the nutritional components such as, alternatives to the use of Sugar-Sweetened Beverages. Many of these principles can be applied to students in schools throughout the globe.\\n\\nYou will understand how the schools can support physical activity throughout the day and how they can effectively offer physical education. Learners will be able to explain MVPA, or moderate to vigorous physical activity. They will identify this as the newest method for measuring and evaluating what counts as physical activity in terms of METs. Participants in the course will be able to explain the science behind the recommended \"60 minutes of Physical Activity\"  and what counts toward MVPA both during and outside of the school day.\\n\\nLearners will be able to evaluate and explain how what students eat and how they exercise impacts student success. We will provide you with information to help you to promote the teamwork that it takes to implement successful nutritional and physical activity programs. Our discussion will include where to find and how to develop community support and encourage family participation. \\n\\nLater in the course you will understand how attendance impacts student success. Together we will look at real-life examples of programs in a school setting and this will help you to recognize what impact you can have on improving the health and success of students in your own community.","autism; community development; communication; education; child; droste effect; physical education; attention deficit hyperactivity disorder; Child Psychology","School Health for Children and Adolescents",4.0,"https://www.coursera.org/specializations/school-health-for-children-and-adolescents","Children and adolescents spend so much of their time in school regardless of where they live in the world. Health and learning are closely connected in the school setting, where good health and healthy practices create the optimal conditions for students’ academic success. And the contrary is also true: poor heath and unhealthy practices build tall barriers to student learning.\\n\\nThe courses of this specialization are designed to equip learners to manage common health conditions including asthma, allergies, diabetes, and seizures. Next they will learn to manage common behavior conditions such as ADHD and autism as well as learning disabilities and concussion. Upon completion of the specialization, learners will be ready to apply newly acquired skills in the provision of social, emotional, behavioral, and special education services. Importantly, they will also be ready to promote healthy practices such as nutrition, physical activity, and community and family participation in their own school community.\\n\\nIn pediatric healthcare we do everything possible to ensure the health of children and adolescents but there can be no greater impact on a child’s health than receiving optimal health condition management and healthy practices in school.",43834.0,"French","English","life-sciences","nutrition","M1C0S9GGEeioHg7n2aFXLg","-KS2fmBZEeisuQ4PU38rnA"]
["2. Upskill","Health Behavior Change","Population Health: Health & Health Behaviour","Universiteit Leiden","Advanced",11.1,4.05,"https://www.coursera.org/learn/population-health-behaviour","In this introduction course on Health and Health Behaviour you will learn about the fundamentals of health psychology. What role does our behaviour, our cognitions and emotions, and our environment play in our health status? \\n\\nWe’ll start with unraveling health behavior, and quite quickly put this knowledge in the perspective of health care and dealing with illness. We’ll look at what is needed for people to cope with a disease and to keep up their quality of life as good as possible. How people can be optimally supported in their healthcare process, creating a collaboration between care providers and patients. Lastly we will see how all these pieces of a puzzle can be used in creating actual interventions in healthcare and what is essential to disseminate them in healthcare practice. \\n\\nBy following this course you'll get a better understanding of why we behave as we do and how this knowledge can be optimally used to improve health care!","health psychology; Planning; patient; evaluation; ageing; quality of life; canning; population; disease; motivational interviewing","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44025.0,"None","English","life-sciences","psychology","Tk_e46U_EeiIkg4uk05_oA","[NULL]"]
["2. Upskill","Health Behavior Change","Health Behavior Change: From Evidence to Action","Yale University","Beginner",16.3,4.67,"https://www.coursera.org/learn/health-behavior-change","Humans often fail to make rational decisions that affect their health. This course seeks to heighten understanding of the social and behavioral factors that contribute to health decisions and behaviors, with an ultimate goal of learning how to utilize these factors in improving public health efforts. Through a set of experiential learning exercises, students will learn to apply the science of health behavior change in their own lives. The course is appropriate for students interested in health care and public health, as well as individuals who are interested in learning to apply the science of behavior change to improve their personal wellbeing.","auditory integration training; Architectural Drafting; human behavior; behavior; architectural design; Architectural Practices; exercise; auditory learning; health; achievement orientation","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44094.0,"None","English","life-sciences","public-health","x6afUUK5Eeq6DAp1IB-Z4w","[NULL]"]
["2. Upskill","Health Informatics","The Social and Technical Context of Health Informatics","Johns Hopkins University","Intermediate",19.8,4.6,"https://www.coursera.org/learn/the-socio-technical-health-informatics-context","Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success. At the end of this course, students will be able to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned.\\n\\nWho Is This Class For? \\nPhysicians, nurses, pharmacists, social workers, and other allied health professionals interested in expanding their understanding of digital health, big data, health information systems, and the unintended consequences of disruptive innovation in the healthcare system. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare.","data-segment; stack-abstract-data-type; informatics; analysis; eulers-totient-function; health-informatics; project; average; sleep; integration-testing","Health Informatics",1.0,"https://www.coursera.org/specializations/health-informatics","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[12.6,23.3]","NA","English","life-sciences","health-informatics","AqeLjUQ1EeiJ3RL_2DUY7A"]
["2. Upskill","Health Informatics","Leading Change in Health Informatics","Johns Hopkins University","Advanced",19.0,4.91,"https://www.coursera.org/learn/leading-change-health-informatics","Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine. \\n\\nWhether you're a nurse, pharmacist, physician, other allied health professional or come from a non-clinical background--you know that Health Informatics skills are in demand. This newly launched 5-course specialization by JohnsHopkins faculty members provides a solid foundation for anyone wanting to become a leader in  one of the hottest fields in healthcare. \\n\\nAs health informaticians, we need to be very clear in our understanding of the current state (as-is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use. \\n\\nBy the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations. ","change-management; health-informatics; cost; workflow; management","Health Informatics",2.0,"https://www.coursera.org/specializations/health-informatics","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[12.7,31.6]","NA","English","life-sciences","health-informatics","jePrjEQ1Eeim3goWHozWuA"]
["2. Upskill","Health Informatics","The Outcomes and Interventions of Health Informatics","Johns Hopkins University","Advanced",12.8,4.48,"https://www.coursera.org/learn/the-outcomes-and-interventions-of-health-informatics","For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.","cost; hope; experience; health-informatics; gratitude; ehealth","Health Informatics",3.0,"https://www.coursera.org/specializations/health-informatics","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[6.7,17.6]","NA","English","life-sciences","health-informatics","c8sqc0Q1EeiCFArE3fR-sA"]
["2. Upskill","Health Informatics","The Data Science of Health Informatics","Johns Hopkins University","Intermediate",12.9,4.81,"https://www.coursera.org/learn/the-data-science-of-health-informatics","Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.","digital-health; behavioral-health; clinical-trials; nursing-informatics; drug-design; informatics; listening; cost; health-informatics; housing","Health Informatics",4.0,"https://www.coursera.org/specializations/health-informatics","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[6.7,17.3]","NA","English","life-sciences","health-informatics","VjzKP0Q1EeiJ2RKoe7qovg"]
["2. Upskill","Health Informatics","Culminating Project in Health Informatics","Johns Hopkins University","Intermediate",12.0,4.75,"https://www.coursera.org/learn/culminating-project-course-in-health-informatics","This capstone course in the Health Informatics Specialization will allow learners to create a comprehensive plan for an informatics intervention of their choosing, and that will demonstrate to current or future employers the new skills obtained through the completion of this series of five courses in Health Informatics.","cost; ehealth; health-informatics","Health Informatics",5.0,"https://www.coursera.org/specializations/health-informatics","This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis.","[6.9,16]","NA","English","life-sciences","health-informatics","rIbwFUQ1EeiMWxIr4mnShA"]
["2. Upskill","Health Informatics","Healthcare Data Models","University of California, Davis","Intermediate",9.8,4.27,"https://www.coursera.org/learn/healthcare-data-models","Career prospects are bright for those qualified to work in healthcare data analytics. Perhaps you work in data analytics, but are considering a move into healthcare where your work can improve people’s quality of life. If so, this course gives you a glimpse into why this work matters, what you’d be doing in this role, and what takes place on the Path to Value where data is gathered from patients at the point of care, moves into data warehouses to be prepared for analysis, then moves along the data pipeline to be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. Perhaps you work in healthcare but are considering a transition into a new role. If so, this course will help you see if this career path is one you want to pursue. You’ll get an overview of common data models and their uses. You’ll learn how various systems integrate data, how to ensure clear communication, measure and improve data quality. Data analytics in healthcare serves doctors, clinicians, patients, care providers, and those who carry out the business of improving health outcomes. This course of study will give you a clear picture of data analysis in today’s fast-changing healthcare field and the opportunities it holds for you.","community health; data governance; data warehousing; health; data analysis; data model; health level 7; medical records; health data; data management","Health Information Literacy for Data Analytics",2.0,"https://www.coursera.org/specializations/healthcare-information-literacy-data-analytics","This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.",43994.0,"None","English","life-sciences","health-informatics","8Awh5MfyEeidMgq9jxT9rg","ZCDbjsf1Eeia5RLjKoQB2g"]
["2. Upskill","Health Informatics","Healthcare Data Quality and Governance","University of California, Davis","Intermediate",8.9,4.25,"https://www.coursera.org/learn/healthcare-data-quality-governance","Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes. \\n\\n\"Big Data\" makes headlines, but that data must be managed to maintain quality. High-quality data is one of the most valuable assets gathered and used by any business. This holds greater significance in healthcare where the maintenance and governance of data quality directly impact people’s lives. This course will explain how data quality is improved and maintained. You’ll learn why data quality matters, then see how healthcare professionals monitor, manage and improve data quality. You’ll see how human and computerized systems interact to sustain data quality through data governance. You’ll discover how to measure data quality with metadata, tracking data provenance, validating and verifying data, along with a communication framework commonly used in healthcare settings. \\n\\nThis knowledge matters because high-quality data will be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. You will make yourself more of an asset in the healthcare field by what you gain from this course.","data-collection; data-governance; data-quality; clinical-data-management; medical-terminology","Health Information Literacy for Data Analytics",3.0,"https://www.coursera.org/specializations/healthcare-information-literacy-data-analytics","This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.","[3.4,11.7]","NA","English","life-sciences","health-informatics","1GEVSMf0EeiFRg5oiwrvWg"]
["2. Upskill","Health Informatics","Analytical Solutions to Common Healthcare Problems","University of California, Davis","Intermediate",12.7,4.2,"https://www.coursera.org/learn/analytical-solutions-common-healthcare-problems","In this course, we’re going to go over analytical solutions to common healthcare problems. I will review these business problems and you’ll build out various data structures to organize your data. We’ll then explore ways to group data and categorize medical codes into analytical categories. You will then be able to extract, transform, and load data into data structures required for solving medical problems and be able to also harmonize data from multiple sources. Finally, you will create a data dictionary to communicate the source and value of data. Creating these artifacts of data processes is a key skill when working with healthcare data.","food security; diagnosis code; rxnorm; healthcare cost and utilization project; cartography of africa; procedure code; medical statistics; health level 7; cartography of europe; health economics","Health Information Literacy for Data Analytics",4.0,"https://www.coursera.org/specializations/healthcare-information-literacy-data-analytics","This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.",44059.0,"None","English","life-sciences","health-informatics","ArkZf8f1Eei2rA7PIuPbSg","ZCDbjsf1Eeia5RLjKoQB2g"]
["2. Upskill","Health Informatics","HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective)","Columbia University","Beginner",15.3,4.67,"https://www.coursera.org/learn/hi-five-admin-it","HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC).  The training is role-based and uses case scenarios.  No additional hardware or software are required for this course. \\n\\nOur nation’s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting.  The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care.\\n\\nThis course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care.  Each of the three courses is designed from a different perspective based on various healthcare roles.  This third course is from an administrative or IT perspective, geared towards executives, managers, analysts, and staff that work in administration, business, finance, operations, data or IT.  However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings. \\n\\nIf you would like to obtain continuing medical education (CME) or continuing nursing education (CNE) credits, you will need to have eligible credentials, complete the entire course, and complete the evaluation survey at the end.  The HI-FIVE team verifies after each month that these requirements have been met and then a separate certificate (fee may apply) is distributed to you from our accreditation office.  Please allow time for processing.  If you have any further questions about continuing education, please see our website at www.hi-fivetraining.org. \\n\\nAccreditation Statement\\nThe College of Physicians and Surgeons of Columbia University is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.\\n\\nAMA Credit Designation Statement\\nThe College of Physcians and Surgeons designates this enduring material for 10.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.\\n\\nThe planning committee members are: Rita Kukafka, DrPH, MA, FACMI; Bruce Forman, MD; Gil Kuperman, MD, PhD; Virginia Lorenzi, MS, CPHIMS, FHL7, and Victoria Tiase, MSN, BN.  None of the members of the committee, who planned this CME Activity, have any relevant financial relationships to disclose.  The release date is 3/27/17 and the expiration date is 3/26/18.\\n\\nThis activity is eligible for 10 continuing nursing education (CNE) credits.  \\n\\nColumbia University School of Nursing, Continuing Nursing Education Program is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation.","risk; health-informatics; analytics; pricing; value-based-pricing; informatics; data-analysis; modeling; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.1,19.3]","NA","English","life-sciences","healthcare-management","ahbOnuP5EeaUXhIpi7MC6A"]
["2. Upskill","Health Informatics","HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective)","Columbia University","Beginner",11.6,4.36,"https://www.coursera.org/learn/hi-five-social-peer","HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC).  The training is role-based and uses case scenarios.   No additional hardware or software are required for this course.\\n\\nOur nation’s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting.  The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care.\\n\\nThis course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care.  Each of the three courses is designed from a different perspective based on various healthcare roles.  This second course is from a social or peer perspective, geared towards care coordinators, care/case managers, social workers, community health workers, patient navigators, peer coaches, behavioral health support, and other similar roles.  However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings. \\n\\nIf you would like to obtain continuing medical education (CME) or continuing nursing education (CNE) credits, you will need to have eligible credentials, complete the entire course, and complete the evaluation survey at the end.  The HI-FIVE team verifies after each month that these requirements have been met and then a separate certificate (fee may apply) is distributed to you from our accreditation office.  Please allow time for processing.  If you have any further questions about continuing education, please see our website at www.hi-fivetraining.org. \\n\\nAccreditation Statement\\nThe College of Physicians and Surgeons of Columbia University is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.\\n\\nAMA Credit Designation Statement\\nThe College of Physcians and Surgeons designates this enduring material for 10.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.\\n\\nThe planning committee members are: Rita Kukafka, DrPH, MA, FACMI; Bruce Forman, MD; Gil Kuperman, MD, PhD; Virginia Lorenzi, MS, CPHIMS, FHL7, and Victoria Tiase, MSN, BN.  None of the members of the committee, who planned this CME Activity, have any relevant financial relationships to disclose.  The release date is 3/27/17 and the expiration date is 3/26/18.\\n\\nThis activity is eligible for 10 continuing nursing education (CNE) credits.  \\n\\nColumbia University School of Nursing, Continuing Nursing Education Program is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation.","project; urgent-care; inpatient-care; public-health; informatics; health-informatics; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.3,14.2]","NA","English","life-sciences","health-informatics","sGHpldzvEea1RA6ZrkEn-g"]
["2. Upskill","Health Informatics","HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)","Columbia University","Intermediate",35.5,4.55,"https://www.coursera.org/learn/hi-five-clinical","HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is a 12-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC).  The training is role-based and uses case scenarios.  Also, it has additional, optional modules on other topics of interest or relevance.  Although we suggest to complete the course within a month's timeframe, the course is self-paced and so you can start and finish the course at anytime during a month's time period. No additional hardware or software are required for this course.\\n\\nOur nation’s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting.  The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care.\\n\\nThis course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care.  Each of the three courses is designed from a different perspective based on various healthcare roles.  This first course is from a clinical perspective, geared towards physicians, nurse practitioners, physician assistants, nurses, clinical executives and managers, medical assistants, and other clinical support roles.  However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings. \\n\\nIf you would like to obtain continuing medical education (CME) or continuing nursing education (CNE) credits, you will need to have eligible credentials, complete the entire course, and complete the evaluation survey at the end.  The HI-FIVE team verifies after each month that these requirements have been met and then a separate certificate (fee may apply) is distributed to you from our accreditation office.  Please allow time for processing.  If you have any further questions about continuing education, please see our website at www.hi-fivetraining.org. \\n\\nAccreditation Statement\\nThe College of Physicians and Surgeons of Columbia University is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.\\n\\nAMA Credit Designation Statement\\nThe College of Physcians and Surgeons designates this enduring material for 12.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.\\n\\nThe planning committee members are: Rita Kukafka, DrPH, MA, FACMI; Bruce Forman, MD; Gil Kuperman, MD, PhD; Virginia Lorenzi, MS, CPHIMS, FHL7, and Victoria Tiase, MSN, BN.  None of the members of the committee, who planned this CME Activity, have any relevant financial relationships to disclose.  The release date is 2/1/17 and the expiration date is 1/31/18.\\n\\nThis activity is eligible for 12 continuing nursing education (CNE) credits.  \\n\\nColumbia University School of Nursing, Continuing Nursing Education Program is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation.","health-informatics; patient; informatics; population; value-based-pricing; pricing; communication; c-mathematical-functions; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.4,43.4]","NA","English","life-sciences","health-informatics","hEMZ5zJuEeaGtRI0HQleow"]
["2. Upskill","Health Informatics","Biomedical Visualisation","University of Glasgow","Intermediate",9.6,4.25,"https://www.coursera.org/learn/biomedvis","Visualisation is a rapidly progressive specialty in academia, research and industry, and becoming the future of science. With the advancement of digital technologies and their applications, biomedical visualisation is an evolving and popular field. With new techniques and technologies to image, process and analyse data related to the human body, and its biological processes, it is at the forefront of the digital revolution. Why not view our course trailer video. Copy and paste this link into your browser https://youtu.be/vB_QcIVSiTs\\n\\nBy the end of this course, you will be able to:\\nDefine and describe anatomical terminology related to the human body.\\nDescribe the various body systems, what comprises them, and how they relate to function.\\nCreate your own 3D modelling and animations using industry standard, open-source software (Blender).\\nAnalyse various visualisation techniques and methods, and be able to apply them to areas of biomedical science.\\n\\nThis course is the first of its kind on Coursera. It explores the structure and function of the human body including terminology used. It showcases visualisation techniques available using technology to image and display data related to the body and biological processes.. It also provides training in the creation of animations, and examines the applicability of different types of reality. \\n\\nYou will learn from experts in these fields and with the knowledge you will gain from this course, be able to evaluate and apply how best to use visualisation in your own discipline.\\n\\nNo prior experience is necessary but should be able to learn at an intermediate level.","biomedical sciences; health informatics; anchor test; anatomical terminology; ad hoc testing; well counter; chow test; computer animation; anatomy; data visualization","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43931.0,"None","English","life-sciences","health-informatics","1ic9zoLdEemHmA6aH8Ctzg","[NULL]"]
["2. Upskill","Health Informatics","Using clinical health data for better healthcare","The University of Sydney","Intermediate",14.7,4.5,"https://www.coursera.org/learn/healthcare-data","Digital health is rapidly being realised as the future of healthcare. While this is placing emphasis on the input of quality health data in digital records and systems, the delivery of safe and quality healthcare relies not only on the input of data, but also the ability to access and derive meaning from data to generate evidence, inform decision making and drive better health outcomes.\\n\\nThis course provides insight into the use of healthcare data, including an overview of best practices and the practical realities of obtaining useful information from digital health systems via the understanding of the fundamental concepts of health data analytics.  \\n\\nLearners will understand why data quality is essential in modern healthcare, as they are guided through various stages of the data life cycle, starting with the generation of quality health data, through to discovering patterns and extracting knowledge from health data using common methodologies and tools in the basic analysis, visualisation and communication of health data. In doing so, learners explore current healthcare delivery contexts, and future and emerging digital health data systems and applications that are rapidly becoming tomorrow’s reality.\\n\\nOn completion of this course, you will be able to:\\n1.\\tIdentify digital health technologies, health data sources, and the evolving roles of health workforce in digital health environments\\n2.\\tUnderstand key health data concepts and terminology, including the significance of data integrity and stakeholder roles in the data life cycle\\n3.\\tUse health data and basic data analysis to inform and improve decision making and practice.\\n4.\\tApply effective methods of communication of health data to facilitate safe and quality care.\\n\\nDuring this course, you will interact with learning content contributed by:\\n•\\tDigital Health Cooperative Research Centre\\n•\\tAustralian Digital Health Agency\\n•\\teHealth NSW\\n•\\tSydney Local Health District\\n•\\tThe NSW Ministry of Health\\n•\\tHealth Education and Training Institute\\n•\\tClinical Excellence Commission \\n•\\tChris O’Brien Lifehouse\\n•\\tMonash Partners / Australian Health Research Alliance\\n•\\tAustralian Research Data Commons\\n•\\tJustice Health & Forensic Mental Health Network\\n•\\tSouth Eastern Sydney Local Health District\\n•\\tWestern Sydney Local Health District\\n•\\tWestmead Breast Cancer Institute\\n•\\tAgency for Clinical Innovation\\n•\\tWestern NSW Local Health District\\n•\\tSydney Children’s Hospital Network\\n\\nThis course is a collaborative venture between NSW Health, the University of Sydney and the Digital Health Cooperative Research Centre, including dedicated resources from eHealth NSW, Health Education and Training Institute, and the Research in Implementation Science & eHealth group. While many learning resources and case examples are drawn from the NSW Health service context, this course has relevance for all existing and future health workforce, regardless of role or work context.\\nNote: Materials used are for learning purposes and content may not reflect your organisation’s policies. When working with data, make sure you act within the guidelines and policies of your organisation.","andi; digital health; health data; blind date; informatics; clinical research; health care; health informatics; telehealth; mental health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44002.0,"None","English","life-sciences","health-informatics","daooaA9SEeeFTRL2fEAvUA","[NULL]"]
["2. Upskill","Health Informatics","Skills for Nursing Informatics Leaders","University of Minnesota","Beginner",5.0,4.71,"https://www.coursera.org/learn/skills-for-nursing-informatics-leaders","In this first of our five courses, Dr. Karen Monsen introduces the nursing informatics leadership essentials and skills that will guide you through your studies as you apply leadership principles to the nursing informatics specialty.\\nCourse Objectives:\\n•\\tDescribe essentials of nursing informatics leadership to gain a foundation for study in this specialization\\n•\\tReflect on your personal nursing informatics leadership goals to establish your plan to advance your nursing informatics leadership journey\\n•\\tComplete the Minnesota Nursing Informatics Leadership Inventory to increase self-knowledge regarding your leadership skills and how you prefer to use them\\n•\\tJoin a nursing informatics organization or network to increase your nursing informatics collaboration and leadership opportunities","Team Building; nursing; combinatorial game theory; loinc; nanda; game theory; electronic health record software; omaha system; informatics; nursing informatics","Nursing Informatics  Leadership",1.0,"https://www.coursera.org/specializations/leadership-nursing-informatics","Nurses and interprofessional healthcare clinicians and educators will learn principles of informatics leadership in clinical and academic settings, and apply their learning to real world scenarios in practice and training/education environments. Learners will understand the history and development of nursing informatics leadership to appreciate today’s leadership challenges, gain self-knowledge of one’s own nursing informatics leadership skills to influence the future of the nursing informatics specialty, describe principles of nursing informatics leadership and their applications in diverse settings to gain appreciation of tailoring leadership skills to optimize outcomes, and apply nursing informatics leadership skills in interprofessional teams to understand stakeholder perspectives and opportunities to promote collaboration and achieve mutual goals.",43836.0,"None","English","life-sciences","health-informatics","4nt5vsObEeiVQhJn0b5-Jg","vxaZAWObEeisgg7XKSzwFg"]
["2. Upskill","Health Informatics","Nursing Informatics Training and Education","University of Minnesota","Advanced",4.3,4.74,"https://www.coursera.org/learn/training-others-nursing-informatics","In this fourth of our five courses, I will go deeper into the training and education leadership skills that are helpful for nursing informatics leaders. I will also guide you through the process of preparing a course document or syllabus for the nursing informatics specialty both in academic settings and in practice or industry.\\nFollowing are the course objectives:\\n1. Describe relevant nursing informatics course development in clinical and academic settings to understand similarities and differences in informatics teaching and education across settings.\\n2. Describe informatics education and training needs for diverse participants with various experience levels to enable development of appropriate training and education materials.\\n3. Develop a prototype course syllabus and introductory recorded message to apply learning in a simulated setting.\\n4. Describe the benefits of formal and informal mentoring for nursing informaticians to advance career opportunities and support the nursing informatics specialty.","telehealth; informatics; nursing; nursing informatics; simulated patient; training; canning; nursing education; openemr; electronic health records","Nursing Informatics  Leadership",4.0,"https://www.coursera.org/specializations/leadership-nursing-informatics","Nurses and interprofessional healthcare clinicians and educators will learn principles of informatics leadership in clinical and academic settings, and apply their learning to real world scenarios in practice and training/education environments. Learners will understand the history and development of nursing informatics leadership to appreciate today’s leadership challenges, gain self-knowledge of one’s own nursing informatics leadership skills to influence the future of the nursing informatics specialty, describe principles of nursing informatics leadership and their applications in diverse settings to gain appreciation of tailoring leadership skills to optimize outcomes, and apply nursing informatics leadership skills in interprofessional teams to understand stakeholder perspectives and opportunities to promote collaboration and achieve mutual goals.",43835.0,"None","English","life-sciences","health-informatics","HeVJpWQqEeiyMhJxqdQ2EA","vxaZAWObEeisgg7XKSzwFg"]
["2. Upskill","Health Informatics","Leadership in Interprofessional Informatics","University of Minnesota","Intermediate",11.4,4.5,"https://www.coursera.org/learn/leadership-interprofessional-informatics","In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives. When we think about the requisite variety of leadership skills that are essential in nursing informatics, we may deduce that leadership in interprofessional informatics will demand at least that diversity or more. We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory. \\n\\nFor students who are interested in completing the specialization, there is a sixth module in this course dedicated to the creation of a portfolio which is peer reviewed. The purpose of the portfolio is to help students integrate, synthesize and document their learning through completion of the five course specialization.\\n\\nStudents will:\\nDefine the term interprofessionality to support the development of an interprofessional informatics leadership skill set \\n\\nDescribe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts \\n\\nExplain the core competencies expected to support culturally-sensitive interprofessional practice to deepen leadership insights in interprofessional informatics \\n\\nDiscuss selected policy, practice, and standardization issues related to knowledge representation and framing to support interprofessional informatics practice \\n\\nAnalyze the future of interprofessional informatics leadership to develop an anticipatory leadership skill set","degrees of freedom; bill w.; florence maybrick; field guide; five times five; nursing informatics; cades; best enemies; a class divided; informatics","Nursing Informatics  Leadership",5.0,"https://www.coursera.org/specializations/leadership-nursing-informatics","Nurses and interprofessional healthcare clinicians and educators will learn principles of informatics leadership in clinical and academic settings, and apply their learning to real world scenarios in practice and training/education environments. Learners will understand the history and development of nursing informatics leadership to appreciate today’s leadership challenges, gain self-knowledge of one’s own nursing informatics leadership skills to influence the future of the nursing informatics specialty, describe principles of nursing informatics leadership and their applications in diverse settings to gain appreciation of tailoring leadership skills to optimize outcomes, and apply nursing informatics leadership skills in interprofessional teams to understand stakeholder perspectives and opportunities to promote collaboration and achieve mutual goals.",44025.0,"None","English","life-sciences","health-informatics","7vaR5WHIEei16BIJfVb6WA","vxaZAWObEeisgg7XKSzwFg"]
["2. Upskill","Healthcare Management","Healthcare Entrepreneurship: Taking Ideas to Market","Imperial College London","Intermediate",9.4,4.5,"https://www.coursera.org/learn/ghi-healthcare-entrepreneurship-taking-ideas-to-market","This course delves into intellectual property (IP) with an introduction into the innovation landscape within the UK and how that compares with other settings. You'll focus on how intellectual property applies to frugal innovations, compulsory licensing, and when and how to apply for intellectual property. This course teaches you about how innovators can secure funding by exploring the types of funding available, the types of organisations involved, as well as the challenges that surround funding. A key part of this course is a focus on 'pitching' skills - what's involved in pitching well, what content should you include, how can you best deliver a pitch. \\n\\nYou'll come away from this course with strong insight into the importance of protecting an innovation's intellectual property,  able to identify IP processes and challenges, and able to confidently pitch an innovation.","music; guitar; kurt cobain; make 'em laugh; key tags; piano; innovation; shuffle play; game mechanics; chord","Global Health Innovations",2.0,"https://www.coursera.org/specializations/global-health-innovations","This specialisation reflects on global health challenges and the role of innovative solutions in addressing them. It is intended for public health professionals, budding entrepreneurs and innovators, as well as those interested in understanding the role innovation plays in the health industry.\\n\\nThe specialisation begins by providing learners with the ‘nuts and bolts’ of technology and innovation management, including key definitions and terminologies. You'll then examine ethical dimensions of innovation and explore how innovations can be supported through effective financing, protection and other incentives to support entrepreneurship. The specialisation will include in-depth examination of a variety of innovation case studies, using a variety of theoretical and practical frameworks, to understand what makes an innovation more likely to be adopted. You will also explore entrepreneurship and the skills necessary to take an idea through to invention and then innovation - and how to galvanise support for it.\\n\\nBy the end of the specialisation, you will be able to consider, in detail, and using appropriate terminology and frameworks, a particular innovation, explaining its added value in a particular context and in a persuasive manner.",43962.0,"None","English","life-sciences","public-health","a-9lRaChEeiSBw4LZG4zaA","zXHZNqCdEeiljQ5gmiahbg"]
["2. Upskill","Healthcare Management","Healthcare Innovation: What Does Success Look Like and How to Achieve It?","Imperial College London","Beginner",7.5,4.0,"https://www.coursera.org/learn/ghi-healthcare-innovation-what-success-look-like-how-to-achieve","This course focuses on the factors involved in the adoption of innovation - features, organizations, country of origin, cognitive, normative and affective aspects, change agents. Using real-world health innovations, you'll assess what impacts their scaleability to new contexts, how organizational and human characteristics affect adoption, to what extent diffusion of an innovation is influenced by unconscious bias. You'll also delve into the process of adopting an innovation within a clinical setting and why it's so important to know who your 'change agents' are. As started in the second course of this specialisation, Healthcare Entrepreneurship: Taking Ideas to Market, you'll revisit the skill of pitching, exploring why and how to adapt pitches depending on your audience.  \\n\\nBy the end of this course, you'll feel able to judge the success of innovation projects; analyse how organizational structure, culture and resources are key in adoption; make recommendations for adoption in relation to organizational contexts; demonstrate how cognitive, normative and affective aspects can influence perception regarding an innovation's attractiveness and scaleability; and apply persuasive techniques to connect to audiences involved in the process of innovation scaling and adoption.","marketing; communication; product development","Global Health Innovations",3.0,"https://www.coursera.org/specializations/global-health-innovations","This specialisation reflects on global health challenges and the role of innovative solutions in addressing them. It is intended for public health professionals, budding entrepreneurs and innovators, as well as those interested in understanding the role innovation plays in the health industry.\\n\\nThe specialisation begins by providing learners with the ‘nuts and bolts’ of technology and innovation management, including key definitions and terminologies. You'll then examine ethical dimensions of innovation and explore how innovations can be supported through effective financing, protection and other incentives to support entrepreneurship. The specialisation will include in-depth examination of a variety of innovation case studies, using a variety of theoretical and practical frameworks, to understand what makes an innovation more likely to be adopted. You will also explore entrepreneurship and the skills necessary to take an idea through to invention and then innovation - and how to galvanise support for it.\\n\\nBy the end of the specialisation, you will be able to consider, in detail, and using appropriate terminology and frameworks, a particular innovation, explaining its added value in a particular context and in a persuasive manner.",43930.0,"None","English","life-sciences","public-health","mng8dKChEeiAExLt68dqiA","zXHZNqCdEeiljQ5gmiahbg"]
["2. Upskill","Healthcare Management","Healthcare Marketplace","University of Minnesota","Beginner",23.4,4.45,"https://www.coursera.org/learn/healthcare-marketplace","In this course in the Healthcare Marketplace specialization you will identify, define, and describe potential business and public policy solutions to the challenges facing society’s growing demand for health services.  Students will master a body of knowledge on the health care sectors major components through reading and reflection.  \\n\\nHealthcare has many different cultural components that will be discussed as historic trends as well as future demographic challenges.  You will understand diverse philosophies and cultures within and across societies as they relate to healthcare.  This outcome is particularly critical because of the tradeoffs needed to be assessed as medical technology advances faster than budgets and perhaps cultures are sometimes willing to tolerate.  \\n\\nAt the end of the day, you will gain an appreciation for the role of creativity, innovation, discovery, and expression across disciplines in the development of new medical care solutions through and examination of the physician, medical technology and financing sub-sectors of the health economy.","management; market-economics; economics; medical-device; healthcare-marketing; healthcare-management; marketing; insurance; finance; integration-testing","Healthcare Marketplace",1.0,"https://www.coursera.org/specializations/healthcare-marketplace","The first course, Healthcare Marketplace Overview, covers all of the major sub-sectors of the healthcare industry including the physician, hospital, insurer and medical technology markets, including a historical perspective. The second course, Healthcare Delivery Providers, takes an in-depth look at the system of healthcare delivery and the transformations occurring to improve the health of populations and communities. The third course,Pharmaceutical and Medical Device Innovations, gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. The fourth course, Medical Technology and Evaluation, explains how cost-effectiveness analysis is used in the healthcare market to put a monetary value on a life saved through a new innovation.\\n\\nThe Capstone brings together key skills engendered from the four courses to create an original medical innovation valuation. The first course teaches the learner to size a population or market. The second course explores whether the healthcare delivery system and the clinicians will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course teaches how to put a monetary value on the improvement in health resulting from a new innovation. In this way, the suite of four courses supports the capstone experience.","[15.3,26]","Chinese","English","business","finance","EGWVwnE7EeWxvQr3acyajw"]
["2. Upskill","Healthcare Management","Business Process Management in Healthcare Organizations","Rutgers the State University of New Jersey","Beginner",7.4,4.48,"https://www.coursera.org/learn/business-process-management-in-healthcare-organizations","Have you ever needed to resolve a billing or other issue with a healthcare organization and thought that there must be a better, more efficient, and more customer-friendly way to operate such a business process?  For example, have you thought that there should be an easier way to read your bill or pay your bill? Or do you work in a healthcare organization and find yourself thinking that there must be better ways for the business processes to function?  If you have, this course is for you. \\n\\nCourse content includes an overview of healthcare organization business processes including business process management approaches as well as a discussion of healthcare organization entrepreneurship as a business process. The course provides links to external sites to connect you to the larger \"real world\" of healthcare organization business processes, business process management, and entrepreneurship. The links also serve as resources you can take with you after you complete the course experience. And because everyone loves a road trip/field trip, there are also \"virtual field trips\" to the often hidden places of interest on the web. \\n\\nThe course format is readings, videos, quizzes, and a project.  The project requires you to synthesize course material to design patient-centered business processes for a healthcare organization the way you would have things run in the best of all worlds. The design (submitted as an electronic word processing document in memo format) is an artifact of the course which you can circulate to colleagues or use as the basis for a talk or presentation event.","learning; process; health-care; business-process; thought; marketing; market-economics; healthcare-management; management; integration-testing","Healthcare Organization Operations",3.0,"https://www.coursera.org/specializations/healthcare-organization-operations","The healthcare tetralogy specialization is intended for anyone interested in healthcare organization as practiced in the United States. A range of healthcare organizations are discussed (e.g., medical, dental, pharmaceutical, and public health). The specialization is particularly useful to anyone working in the healthcare industry who either has: 1) a developing interest in the issues important to the administration of healthcare organization operations; or 2) some expertise, but wishes an overview or refresher of the issues. However, those who do not work in the healthcare industry, but who interact with healthcare organizations of any type as patients/consumers will also find the specialization informative. Through the four courses in the specialization, you will cover many aspects of healthcare organization operations including the relationship between healthcare organizations and the health system as well as health care delivery, business process management, and quality improvement within healthcare organizations. Upon completion of the specialization, those who interact with healthcare organizations as patients/consumers will have a better understanding of the issues involved in the effective administration of healthcare organizations and operations. Those working in the healthcare industry, upon completion of the specialization, will be better able to contribute to the effective administration of the healthcare organization’s operations.","[3.2,8.4]","NA","English","life-sciences","healthcare-management","-7MZd0wLEeiEvA6L-SRtXg"]
["2. Upskill","Healthcare Management","Healthcare Consumerism and Implication for Care Delivery","Northeastern University","Intermediate",12.4,4.55,"https://www.coursera.org/learn/healthcareconsumerism","In this course we will examine the changing role of the consumer in healthcare. Consumers are asking for more accountability in how healthcare is delivered and paid for. Healthcare professionals must make sure that they are delivering high quality, personalized care. \\n\\nSome of the topics we'll cover are: the healthcare ecosystem, new technologies in healthcare, the development of new payment models, change management in healthcare, data analytics.\\n\\nBy the end of this course, you will be able to:\\n1. Explain the new role of consumers in healthcare delivery in order to respond to the demands in this changing industry\\n2. Identify the key players in the healthcare ecosystem\\n3. Describe how the healthcare system operates and its impact on consumer-driven healthcare.\\n4. Articulate the challenges facing consumers and providers in order to find potential solutions for these challenges.","consumer-driven-healthcare; marketing; voice-of-the-customer; integration-testing","Healthcare Trends for Business Professionals",1.0,"https://www.coursera.org/specializations/healthcare-trends-business-professionals","This Specialization will provide learners with the knowledge and skills to recognize key shifts in the industry and to have an agile perspective on how these shifts might impact their organizations. Learners will be exposed to the key drivers in the global healthcare industry today so they might apply what they have learned to help their organizations.","[7.3,15.3]","NA","English","life-sciences","healthcare-management","JsrH7U7eEeitpRLLqdA6sA"]
["2. Upskill","Healthcare Management","Future Healthcare Payment Models","Northeastern University","Beginner",12.3,4.42,"https://www.coursera.org/learn/healthcare-payment-models","This course will review the drivers of healthcare cost and solutions that have been proposed to address cost, quality and value of health care. Many point blame for high costs on payment models that pay healthcare providers for every service they provide to patients, essentially paying more for volume and service intensity. This is called a Fee for Service (FFS) payment model. Some solutions, arguably the more sustainable solutions, are the combined strategies of new payment models, care management, insurance plan designs, consumer engagement tools, and technology. \\n\\nUsing that information we will explore various situations, showcasing coordinated care and payment strategies that can be implemented to improve patient health and the cost of delivery of healthcare services.\\n\\nBy the end of this course, the learner should be able to: \\n\\n1. Identify the drivers and trends of healthcare spending from the perspective of various stakeholders, including medical providers, insurers, government and private purchasers and payments\\n2. Critically assess the impact of strategic and financial approaches that have been put in place by the ACA and the various modifications. \\n3. Evaluate how healthcare payment models currently work and the new direction that value-based payment is taking.\\n4.Identify how financial and non-financial metrics can be appropriately combined to improve a healthcare stakeholders’ value proposition.","actuary; health-insurance; marketing","Healthcare Trends for Business Professionals",2.0,"https://www.coursera.org/specializations/healthcare-trends-business-professionals","This Specialization will provide learners with the knowledge and skills to recognize key shifts in the industry and to have an agile perspective on how these shifts might impact their organizations. Learners will be exposed to the key drivers in the global healthcare industry today so they might apply what they have learned to help their organizations.","[7.4,13.9]","NA","English","life-sciences","healthcare-management","SdYeiWN2Eei2cAqjQ01kKg"]
["2. Upskill","Healthcare Management","Fixing Healthcare Delivery","University of Florida","NA",21.3,4.65,"https://www.coursera.org/learn/fixing-healthcare","Isn’t it time to end the loss of life from preventable medical errors?\\nEach year 100,000 patients die from preventable errors in the U.S.  How can you help to change this intractable problem? Knowledge is power, and this course will provide you with a deep understanding of the problems and the solutions. You can become part of the solution.","change-management; patient-care; medicine; management; measurement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.6,31]","NA","English","life-sciences","healthcare-management","wU9rptfZEeSQpiIAC2iNcA"]
["2. Upskill","Healthcare Management","Fixing Healthcare Delivery 2.0: Advanced Lean","University of Florida","Advanced",21.8,4.87,"https://www.coursera.org/learn/fixing-healthcare-delivery-advanced-lean","Lean or Toyota Production System (TPS) is responsible for revolutionizing the auto industry by creating highly reliable and safe cars and trucks. In this course healthcare providers, administrators, engineers, and healthcare professional students will be taught how to apply the principles and tools of Lean to health care. They will learn how to identify and remove of waste, design standardized work, apply 5S, map Value streams, create process maps, conduct rapid improvement events (RIEs), level workflow, use A3 forms and Paredo charts, apply error proofing, and create effective visual controls. The instructional videos minimize Lean technical language, and include patient cases to make the lessons more appealing to students in healthcare. Acknowledging that patients are very different from cars we have carefully adapted Lean to health care and call our system: Patient-centered Healthcare Delivery System (PHDS). The name and abbreviation emphasize two key principles taught in our course: 1. Just like PhDs the scientific method must be continually applied when creating plans to improve our systems of care. 2. All improvements must be made looking through the eyes of patients. Armed with this new knowledge students will be able to design and implement sustainable healthcare delivery system improvements.","lean-project-management; plant; healthcare-delivery-systems; pharmacy-technician; process-improvement; project; project-management; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,32.1]","NA","English","life-sciences","healthcare-management","7XFCjCE3EeeIYhLE7kr1cg"]
["2. Upskill","Healthcare Management","Business Models for Innovative Care for Older People","University of Copenhagen","Intermediate",15.6,4.48,"https://www.coursera.org/learn/business-models-innovative-care","Aging has been coined as one of the major societal challenges. The fact that we simply live longer, is in itself not a problem but rather a triumph. However, this unprecedented demographic change significantly affects individual life histories through an increased number of e.g. lifestyle related chronic diseases. These extra life years, also have a massive imprint on the organization of welfare institutions and the financial sustainability of the welfare system. \\n\\nThis course will introduce you to healthcare innovation within the field of healthy living and active aging. By following two specific cases on diabetes and rehabilitation, this interdisciplinary course will provide you with key theories, tools and concepts for analyzing and developing viable innovative solutions for aging populations. The lectures will cover demographic, biological, economic, social and cultural aspects of active aging and healthy living, along with lectures on current innovation theories and methods. \\n\\nDuring the course you will meet leading researchers and experts from among others: University of Copenhagen, Copenhagen Business School, Steno Diabetes Center in Copenhagen and Erasmus University of Rotterdam. \\n\\nThey work with very different aspects of active aging and healthy living, from biomedicine to digital design, but what ties them together is the belief that an interdisciplinary approach to healthcare innovation will benefit the aging population.\\n\\nThe course is part of the EIT Health Campus programme https://www.eithealth.eu/campus.\\n\\nWe hope you will enjoy this course and equip yourself to take a more professional approach to healthcare innovation.","health-care; healthcare-management; product-business; analysis; intellectual-property; product; project; innovation; economics; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.8,18.5]","NA","English","business","entrepreneurship","mIVIotyJEeWcBg435JRSdw"]
["2. Upskill","Healthcare Management","Population Health: Alternative Payment Models","Universiteit Leiden","Beginner",10.4,5.0,"https://www.coursera.org/learn/alternative-payment-models","The way we currently pay our care providers lead to suboptimal outcomes and unnecessary spending. Consequently, we fail to maximize the value of our health care services. We need to change provider payment models in order to keep health care systems financial sustainability. Doing nothing is not an option. But the question is, how do we do it? \\n\\nDuring this course, we will discuss the rationale for payment reforms and dive into the key design elements of Alternative Payment Models (APMs) and how they change care provider incentives. You will learn about a roadmap to design and implement APMs on your own. You will learn about behavioural economics and human behaviour which are essential to advance the design and implementation of APMs. After the course you can apply your sharpened skills to lead change in health care via innovative payment models in order to increase value of health care services.\\n\\nThis course is targeted at a variety of professionals in the healthcare sector in order to realise a common language. Are you a provider, board member, working at a public or private payer or researcher working in the health sector, this course is relevant for you!\\n\\nThis Course is part of the to-be-developed Leiden University master program Population Health Management. If you wish to find out more about this program see the last reading of this Course!","happy path; sustainability; forward-looking statement; planning horizon; health economics; health; public health; 5 whys; time horizon; Healthcare Management","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44024.0,"None","English","life-sciences","healthcare-management","687cZaVBEei4aQ6TzipSyA","[NULL]"]
["2. Upskill","Healthcare Management","Researcher Management and Leadership Training","University of Colorado System","Intermediate",7.7,5.0,"https://www.coursera.org/learn/researcher-management-leadership-training","This course is for early career researchers and mentors who believe that modern scientific careers require management skills and want to be research leaders. This curriculum gives you skills to effectively implement funded projects, thereby enhancing your career success. Research leaders take on a number of new roles, rights, and responsibilities--as scientific leaders, financial administrators, managers, and mentors. In this course, we explain how to optimize the people, teams, projects, and finances for which you are responsible. \\n\\nDespite your research training, you are probably facing an urgent training gap in leadership and management skills. Scientific careers falter for non-science reasons when researchers fail to execute a scope of work: struggle to track expenses and returns substantial unspent grant funds; or run out of funds by spending on the wrong people or mismanaging the right people. Consequently, projects close with inadequate progress on aims, thus compromising successful competition for future funding. This course will help avoid these traps.\\n\\nLeadership and management are essential skills for researchers. Several early career researchers, senior scientists, and administrative leaders are eager to share their expertise and experiences with you.","apache oozie; route (command); Advanced Packaging Tool (APT); project; leadership development; management; sponsorships; leadership; activation function; finance","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"None","English","life-sciences","healthcare-management","3uRPpdGFEeiElA6q2-9yxA","[NULL]"]
["2. Upskill","Healthcare Management","Regulated Competition in Healthcare Systems: Theory & Practice","Erasmus University Rotterdam","Intermediate",17.0,4.75,"https://www.coursera.org/learn/regulated-competition-healthcare-systems","In this MOOC you will learn about the theory and practice of 'regulated competition' (also known as 'managed competition') in healthcare systems. Many countries have implemented or consider implementation of regulated competition in healthcare. Examples include Australia, Belgium, Chile, Colombia, Germany, Ireland, Israel, The Netherlands, Switzerland and the United States. After completing this MOOC, you will be able to explain how regulated competition (in theory) promotes affordability, accessibility and efficiency of healthcare. Moreover, you will be able to explain why (in practice) successful implementation of regulated competition is very complex and often requires difficult trade-offs between policy objectives. We think this MOOC is highly valuable to any student, researcher or professional interested in healthcare system reform and design. Specific topics in this MOOC include a typology of healthcare systems, the economics of healthcare markets, theory and preconditions of regulated competition, risk adjustment and risk selection in health insurance, competition policy and provider payment.","health system; insurance; health economics; health insurance; health; health policy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44123.0,"None","English","life-sciences","healthcare-management","ATETadhlEeiVYAo9v2qgfg","[NULL]"]
["2. Upskill","Home Health","Foundations for Assisting in Home Care","The State University of New York","[NULL]",22.9,4.65,"https://www.coursera.org/learn/home-care","This course is intended as a self-study course for those interested in exploring a career as a Home Health Aide or Personal Care Aide.","cancer; patient safety; Mental Illness; food safety; dry well; nutrition; infection control; Home Care; genetics; animal","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44072.0,"None","English","life-sciences","patient-care","8bBOr15WEeW5iQpSR8Sfhw","[NULL]"]
["2. Upskill","Integrative Medicine","Introduction to Integrative Therapies and Healing Practices","University of Minnesota","Intermediate",16.9,4.68,"https://www.coursera.org/learn/integrative-therapies-and-healing-practices","This introductory course provides a framework for incorporating integrative therapies into your work with clients or patients.  By the end of the course, you will be able to assess if integrative therapies are good options in specific situations, as well as educate patients and colleagues about benefits and risks.  You will be confident discussing the evidence base for integrative therapies in general, with an understanding of some of the challenges of research in this area, and able to identify reliable sources of evidence-based information. You will leave with the skills to  partner with patients or clients around use of  these therapies and a plan to introduce integrative therapies in your work or other setting.\\n\\nContinuing Education Credit\\nThis course has been designed to meet Minnesota Board of Nursing continuing education requirements for 15 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course. This course is also approved by ICHWC (Health Coaching) for 15 continuing education units (CEP # 100057).","homeopathy; aromatherapy; herbalism; naturopathy; reiki; alternative medicine; massage; healing; nutrition; ayurveda","Integrative Health and Medicine",1.0,"https://www.coursera.org/specializations/integrative-health-and-medicine","If you want to help your patients or clients manage conditions or symptoms such as pain and anxiety, this specialization will provide the knowledge and skills needed. In these five courses, you will explore integrative therapies, including herbal medicine, guided imagery, aromatherapy, and mindfulness. For each therapy studied, you will gain skills to: Assess if a therapy is appropriate, Educate patients or clients about benefit and risk, Administer or advise on use, and Evaluate if the therapy was useful (our AEAE approach).\\n\\nBy the end of this specialization, you will be familiar with application methods, mechanisms of action, and the research evidence for specific therapies, as well as safety and quality considerations. In short, you will be ready to partner with patients on developing a plan of integrative care that fits their needs and preferences. Note that while the primary focus is on working with patients or clients, the information is also immediately applicable to your own health and wellbeing",44094.0,"None","English","life-sciences","patient-care","gD7pn8syEeiPthLQFRat4A","E6sLncsyEeiOfA7ECAoj8g"]
["2. Upskill","Integrative Medicine","Guided Imagery","University of Minnesota","Intermediate",13.4,4.7,"https://www.coursera.org/learn/guided-imagery","In this course, you will learn how you can use imagery and imagery interventions to help with symptom management and healing, as well as to enhance overall health and wellbeing. You will experience a variety of imagery interventions and evaluate how they might be helpful in providing relief or enhancing quality of life.  By the end of the course, you will know how to assess if guided imagery is appropriate in specific situations or with specific patients. You will be able to find and evaluate guided imagery scripts and recordings you might use.  Most importantly, you will learn how to write and record effective guided imagery scripts of your own for specific needs at work or in your personal life.\\n\\n\\nContinuing Education Credit\\nThis course has been designed to meet Minnesota Board of Nursing continuing education requirements for 14.5 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.\\n\\nThis course is also approved by ICHWC (Health Coaching) for 14.5 continuing education units (CEP # 100057).","cosmetics; ayurveda; aromatherapy; healing; integration-testing","Integrative Health and Medicine",2.0,"https://www.coursera.org/specializations/integrative-health-and-medicine","If you want to help your patients or clients manage conditions or symptoms such as pain and anxiety, this specialization will provide the knowledge and skills needed. In these five courses, you will explore integrative therapies, including herbal medicine, guided imagery, aromatherapy, and mindfulness. For each therapy studied, you will gain skills to: Assess if a therapy is appropriate, Educate patients or clients about benefit and risk, Administer or advise on use, and Evaluate if the therapy was useful (our AEAE approach).\\n\\nBy the end of this specialization, you will be familiar with application methods, mechanisms of action, and the research evidence for specific therapies, as well as safety and quality considerations. In short, you will be ready to partner with patients on developing a plan of integrative care that fits their needs and preferences. Note that while the primary focus is on working with patients or clients, the information is also immediately applicable to your own health and wellbeing","[6.8,16.2]","NA","English","life-sciences","research","3zuf18syEei9QA58x-n_Ag"]
["2. Upskill","Integrative Medicine","Herbal Medicine","University of Minnesota","Advanced",14.6,4.86,"https://www.coursera.org/learn/herbalmedicine","There is strong demand for alternatives to pharmaceuticals for a variety of common illnesses due to concerns of safety, efficacy, and a desire for more “natural” products. Despite this growing interest, “conventional” healthcare providers may have little to no knowledge about herbal medicines, which is further compounded by the sometimes misleading information in the media and on the internet. This course provides the necessary background for providers to begin to incorporate herbal medicines into their practice, particularly in regards to their therapeutic properties, efficacy (or lack thereof), and safety concerns, including quality control and potential adverse effects.\\n\\nContinuing Education Credit\\nThis course has been designed to meet Minnesota Board of Nursing continuing education requirements for 16 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.","patient; medicine; pain; safety; dietary supplements; skin condition; aromatherapy; herbal; ayurveda; population","Integrative Health and Medicine",3.0,"https://www.coursera.org/specializations/integrative-health-and-medicine","If you want to help your patients or clients manage conditions or symptoms such as pain and anxiety, this specialization will provide the knowledge and skills needed. In these five courses, you will explore integrative therapies, including herbal medicine, guided imagery, aromatherapy, and mindfulness. For each therapy studied, you will gain skills to: Assess if a therapy is appropriate, Educate patients or clients about benefit and risk, Administer or advise on use, and Evaluate if the therapy was useful (our AEAE approach).\\n\\nBy the end of this specialization, you will be familiar with application methods, mechanisms of action, and the research evidence for specific therapies, as well as safety and quality considerations. In short, you will be ready to partner with patients on developing a plan of integrative care that fits their needs and preferences. Note that while the primary focus is on working with patients or clients, the information is also immediately applicable to your own health and wellbeing",44063.0,"None","English","life-sciences","patient-care","TfGVo7doEeiJhgoSNONg0A","E6sLncsyEeiOfA7ECAoj8g"]
["2. Upskill","Integrative Medicine","Aromatherapy: Clinical Use of Essential Oils","University of Minnesota","Intermediate",17.6,4.75,"https://www.coursera.org/learn/aromatherapy-clinical-use-essential-oils","This course provides an overview of essential oil therapy and current aromatherapy practices in clinical settings and gives you the skills to bring aromatherapy into your own practice. By the end of the course, you will be able to: a) explain what essential oils are to a patient and how they work; b) assess if an essential oil might be beneficial to a patient, considering patient preference and the research evidence, as well as any safety issues or contraindications; and c) suggest a protocol for use in a clinical setting.\\n\\nContinuing Education Credits\\nThis course has been designed to meet Minnesota Board of Nursing continuing education requirements for 15 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.","aromatherapy; herbalism; mindfulness; functional-medicine; hypnosis; ayurveda; nutrition","Integrative Health and Medicine",4.0,"https://www.coursera.org/specializations/integrative-health-and-medicine","If you want to help your patients or clients manage conditions or symptoms such as pain and anxiety, this specialization will provide the knowledge and skills needed. In these five courses, you will explore integrative therapies, including herbal medicine, guided imagery, aromatherapy, and mindfulness. For each therapy studied, you will gain skills to: Assess if a therapy is appropriate, Educate patients or clients about benefit and risk, Administer or advise on use, and Evaluate if the therapy was useful (our AEAE approach).\\n\\nBy the end of this specialization, you will be familiar with application methods, mechanisms of action, and the research evidence for specific therapies, as well as safety and quality considerations. In short, you will be ready to partner with patients on developing a plan of integrative care that fits their needs and preferences. Note that while the primary focus is on working with patients or clients, the information is also immediately applicable to your own health and wellbeing","[10.2,25.9]","NA","English","life-sciences","research","DzLUJcszEeiugQqY_iSoGA"]
["2. Upskill","Integrative Medicine","Mindfulness in Integrative Healthcare","University of Minnesota","Intermediate",10.8,4.97,"https://www.coursera.org/learn/mindfulness-integrative-healthcare","By the end of this course, you will be able to assess when mindfulness may be helpful for your patients or clients, educate them about its potential benefits, and refer them to mindfulness programs and resources. To begin, you will explore what mindfulness is (and is not) through presentations and direct experience. You will also learn about the research supporting the benefits (and risks) of mindfulness for various conditions, as well as how to identify contraindications. Finally, you will learn about the benefits of this practice for you as a busy healthcare provider.\\n\\nContinuing Education Credit\\nThis course has been designed to meet Minnesota Board of Nursing continuing education requirements for 10 contact hours and may be eligible for CE credit from other professional boards that allow self-documenting of continuing education activities. It is your responsibility to check with your regulatory board to confirm this course meets your local requirements and, if necessary, to provide them with the certificate of completion you get if you pay for and fulfill all the requirements of this course.","nursing; hypnosis; mindfulness; cosmetics; nutrition; anxiety-disorders; ayurveda; meditation; integration-testing","Integrative Health and Medicine",5.0,"https://www.coursera.org/specializations/integrative-health-and-medicine","If you want to help your patients or clients manage conditions or symptoms such as pain and anxiety, this specialization will provide the knowledge and skills needed. In these five courses, you will explore integrative therapies, including herbal medicine, guided imagery, aromatherapy, and mindfulness. For each therapy studied, you will gain skills to: Assess if a therapy is appropriate, Educate patients or clients about benefit and risk, Administer or advise on use, and Evaluate if the therapy was useful (our AEAE approach).\\n\\nBy the end of this specialization, you will be familiar with application methods, mechanisms of action, and the research evidence for specific therapies, as well as safety and quality considerations. In short, you will be ready to partner with patients on developing a plan of integrative care that fits their needs and preferences. Note that while the primary focus is on working with patients or clients, the information is also immediately applicable to your own health and wellbeing","[6.6,15.5]","NA","English","life-sciences","research","Nf4DjMszEeiLLhJBAe-LZA"]
["2. Upskill","Integrative Medicine","Health Concepts in Chinese Medicine","The Hong Kong University of Science and Technology","Intermediate",14.0,4.71,"https://www.coursera.org/learn/health-concepts-chinese-medicine","Course Overview: https://youtu.be/L0-cZt1Hw7c\\n\\nChinese Medicine and Modern Medicine are two distinct medical systems, yet they both aim at the prevention and treatment of human diseases. With this in mind, we should understand the practice of Chinese Medicine in the context of Modern Medicine.\\n\\nIn this course, we explore the basic theories underlying the practice of Chinese Medicine, compare and contrast the use of Chinese Medicine and Modern Medicine in Preventive Health, and discuss how to restore a healthy condition and understand the pharmacological basis of different types of Chinese tonifying herbs.\\n\\nBy the end of this course, you will be able to:\\n-              state the important Chinese Medicine literature from 5th century B.C. to 16th century A.D.\\n-              describe and interpret basic Chinese Medicine theories \\n-              apply the basic Chinese Medicine theories (such as the balance between Yin and Yang and the interaction among organs) to restore a healthy condition\\n-              compare and contrast the use of Chinese Medicine and Modern Medicine in Preventive Health\\n-              explain how the balance of Yang/Qi and/or Yin/Blood can be restored by using Chinese tonifying herbs\\n-              adapt the Chinese Medicine concepts by reviewing the contemporary researches on pharmacological activities in Chinese tonifying herbs","astrology; homeopathy; acupuncture; herbalism; Chinese Medicine; diet (nutrition); massage; herbal; chinese language; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44030.0,"French","English","life-sciences","patient-care","EZaf2jCPEeeo0w7S4sUhzA","[NULL]"]
["2. Upskill","Integrative Medicine","Traditional herbal medicine in supportive cancer care: From alternative to integrative","Technion - Israel Institute of Technology","Beginner",85.8,4.77,"https://www.coursera.org/learn/cancer-medicine-alternative-herbal-asia","Please join us for an exciting and innovative journey, examining one of the most important and often overlooked aspects of the oncology setting: \\nTraditional Herbal Medicine in Supportive Cancer Care.\\nThis course is presented with short lectures offering a wide range of issues related to the principles and practice of herbal medicine in cancer care. The course includes interviews with leading world experts from the field of Integrative Oncology, from the U.S. and Canada, as well as Europe, the Middle East, China and Japan. \\nBy the end of the course, you will: \\n• Understand core concepts in Integrative Oncology, as they relate to the supportive/palliative cancer care setting\\n• Acquire effective communication skills which will foster a better understanding of patients' views on herbal medicine, while providing guidance on the safe and effective use of these products\\n• Be able to design, together with patients, caregivers and healthcare providers, a patient-tailored and cultural-sensitive integrative oncology treatment program, including the use of herbal medicine\\n• Be acquainted with leading \"players\" who can share their experience in creating and implementing an integrative oncology program \\nThe course has been specially designed to provide information and guidance at a level appropriate for patients and non-medical participants, as well as medical professionals interested in receiving evidence-based guidance on the safety and effectiveness of herbal medicine in cancer care.","patient; physician; interview; cancer treatments; medicine; Chinese Medicine; cancer; oncology; acupuncture; herbal","Non Specialization","Non Specialization","Non Specialization","Non Specialization","36, 123","None","English","life-sciences","patient-care","gu_xVZoPEeip2g7lw9YI7A","[NULL]"]
["2. Upskill","Integrative Medicine","Everyday Chinese Medicine 2","The Chinese University of Hong Kong","Beginner",7.8,4.71,"https://www.coursera.org/learn/everyday-chinese-medicine-2","This course, Everyday Chinese Medicine II offered by the Chinese University of Hong Kong, aims to show to the public, as well as the healthcare professionals about the basic principles of Chinese medicine. Our primary goal is to empower healthcare choices by promoting awareness and practical application on Chinese medicine diagnostic and therapeutic approaches, and to facilitate interprofessional education between Chinese and conventional clinicians.\\n\\nLearners will develop skills in applying theories of Chinese medicine for understanding health and illnesses. We will discuss the treatment principles of Chinese Medicine and the corresponding herbs for application. This will then be followed by the application of diets and exercise. Finally, we would expand the horizons of how integrative medicine are practiced in Chinese populations such as China, Taiwan and Hong Kong for specific diseases. This showcases how different disciplines joints-hands to fulfill the unmet needs from the public. The perspective of research, education and medical coverage will be explored.","medicine; tai chi; microsoft excel vba; chinese language; Chinese Medicine; worksheet; language; disease; cut, copy, and paste; double-click","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43930.0,"None","English","life-sciences","public-health","8v8HU7DhEeiXMBJXqTx_-g","[NULL]"]
["2. Upskill","Integrative Medicine","Curanderismo: Traditional Healing of the Mind, Energy & Spirit","University of New Mexico","Intermediate",10.9,4.8,"https://www.coursera.org/learn/curanderismo-traditional-healing","As the third of four courses on Curanderismo, the art of Hispanic/Latino traditional medicine, this course focuses specifically on traditional healing of mind, energy and spirit. As an educational and cultural platform, this course will share a number of traditional body therapies. Trained traditional healers will share their knowledge of cleansings from different cultures such as spiritual, energetic and Tonalli Cleansing.\\n\\nLearners will not become certified traditional healers at the completion of this course but will be able apply basic principles or traditional medicine for health and illnesses. They will become familiar specifically with the traditional therapy of the sweat lodge temazcal, laugh therapy risaterapia and they will learn about the creation of sacred spaces and healing grief through Día de los Muertos. \\n\\nThe Final Curanderismo course will be:\\n\\n•\\tGlobal and Cultural Influences of Traditional Healing: African traditional medicine from Uganda and Gabon; Afro-Latino from Cuba and Puerto Rico, Native American spiritual cleansings and Mayan acupuncture and other topics.\\n\\nREQUIRED TEXTS\\n- Curanderismo: The Art of Traditional Medicine without Borders by Eliseo Torres\\n- Curandero: Traditional Healers of Mexico and the Southwest by Eliseo Torres with Imanol Miranda\\n\\nWhere to buy:\\nhttps://he.kendallhunt.com/product/curanderismo-art-traditional-medicine-without-borders\\nhttps://he.kendallhunt.com/product/curandero-traditional-healers-mexico-and-southwest\\n\\nOPTIONAL TEXTS\\nCurandero: A life in Mexican Folk Healing by Eliseo Torres & Tim Sawyer\\nHealing with Herbs & Rituals: A Mexican Tradition, Eliseo Torres, edited by Tim Sawyer\\n\\nWhere to buy:\\nhttps://www.barnesandnoble.com/w/curandero-torres-eliseo-cheo/1120135382?ean=9780826336415&st=PLA&sid=BNB_1341481610&sourceId=PLAGoNA&dpid=tdtve346c&2sid=Google_c&gclid=EAIaIQobChMI3_6LmYev3gIViuNkCh3IPgUyEAQYASABEgLYXfD_BwE\\n\\nhttps://www.barnesandnoble.com/w/healing-with-herbs-and-rituals-torres-eliseo-cheo/1120135381?ean=9780826339621&st=PLA&sid=BNB_825204424&sourceId=PLAGoNA&dpid=tdtve346c&2sid=Google_c&gclid=EAIaIQobChMIrrvswYev3gIVBsRkCh3BXQCHEAQYASABEgLnl_D_BwE\\n\\nPODCAST:\\n- Blubrry podcast - https://www.blubrry.com/normallol/41068835/normal-lol-63-depersonalization-mental-wellness-curanderismomexican-traditional-healing-with-eliseo-cheo-torres/\\n- Itunes Episode 63 - https://itunes.apple.com/us/podcast/normal-lol-depersonalization-derealization-anxiety/id1065740418?mt=2","healing; acupuncture; art therapy; energy; energy medicine; therapy; aromatherapy; aphrodisiacs; podcast; sweat lodge","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43964.0,"None","English","life-sciences","public-health","j2373xMGEearKQowajWNkQ","[NULL]"]
["2. Upskill","Integrative Medicine","Curanderismo: Global & Cultural Influences of Traditional Healing","University of New Mexico","Beginner",8.7,4.3,"https://www.coursera.org/learn/curanderismo-global-traditional-healing","As the last of four courses on Curanderismo, the art of Hispanic/Latino traditional medicine, this course focuses specifically on traditional healing using different techniques of many countries around the world. As an educational and cultural platform, this course will share a number of traditional global perspectives.\\n\\nLearners will not become certified traditional healers at the completion of this course but will be able apply basic principles or traditional medicine for health and illnesses. They will become familiar specifically with African traditional medicine from Uganda, African healing through music from Gabon, Afro-Cuban and Afro Puerto-Rican healing techniques, medicinal plants for women, Native American feather healing and other topics.\\n\\nREQUIRED TEXTS\\nCuranderismo: The Art of Traditional Medicine without Borders by Eliseo Torres\\n\\nCurandero: Traditional Healers of Mexico and the Southwest by Eliseo Torres with Imanol Miranda\\n\\nWhere to buy:\\nhttps://he.kendallhunt.com/product/curanderismo-art-traditional-medicine-without-borders\\n\\nhttps://he.kendallhunt.com/product/curandero-traditional-healers-mexico-and-southwest\\n\\nOPTIONAL TEXTS\\nCurandero: A life in Mexican Folk Healing by Eliseo Torres & Tim Sawyer\\n\\nHealing with Herbs & Rituals: A Mexican Tradition, Eliseo Torres, edited by Tim Sawyer\\n\\nWhere to buy:\\nhttps://www.barnesandnoble.com/w/curandero-torres-eliseo-cheo/1120135382?ean=9780826336415&st=PLA&sid=BNB_1341481610&sourceId=PLAGoNA&dpid=tdtve346c&2sid=Google_c&gclid=EAIaIQobChMI3_6LmYev3gIViuNkCh3IPgUyEAQYASABEgLYXfD_BwE\\n\\nhttps://www.barnesandnoble.com/w/healing-with-herbs-and-rituals-torres-eliseo-cheo/1120135381?ean=9780826339621&st=PLA&sid=BNB_825204424&sourceId=PLAGoNA&dpid=tdtve346c&2sid=Google_c&gclid=EAIaIQobChMIrrvswYev3gIVBsRkCh3BXQCHEAQYASABEgLnl_D_BwE\\n\\nPODCAST:\\nBlubrry podcast - https://www.blubrry.com/normallol/41068835/normal-lol-63-depersonalization-mental-wellness-curanderismomexican-traditional-healing-with-eliseo-cheo-torres/\\n\\nItunes Episode 63 - https://itunes.apple.com/us/podcast/normal-lol-depersonalization-derealization-anxiety/id1065740418?mt=2","herbal; witchcraft; women's health; traditional medicine; healing; a3 problem solving; rum; abnormal psychology; a-process; brainstorming","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43932.0,"None","English","life-sciences","public-health","QjGTdBMIEea4YAq244u_Cw","[NULL]"]
["2. Upskill","Medical Device and Biotech","Medical Technology and Evaluation","University of Minnesota","Beginner",11.8,4.5,"https://www.coursera.org/learn/healthcare-medical-technology","Innovations in medical technologies are one of the leading areas of economic growth in the world. Whether new technologies take the form of pharmaceutical, medical device, biotechnology, information technology of some combination of these innovations, the opportunities for both private enterprise and social welfare are substantial. However, these innovations are not without cost, and require reimbursement from either a privately or publicly financed health care delivery system to enter the marketplace. \\n\\nThis course aims to provide knowledge of the concepts, data, and methodology required to critically evaluate new medical technologies in order to secure financial investment, reimbursement, and regulatory compliance objectives, such as FDA approval. The course is designed to provide understanding of the analytic tools needed to evaluate medical technologies. After completing this course, students will have the skills needed to: \\n\\n- Understand the reimbursement systems financing medical technology use.\\n\\n- Understand the role of government and regulatory agencies in the development and use of new medical technologies.\\n\\n- Identify a population to be served by a medical technology.\\n\\n- Use health care data to evaluate a medical technology.\\n\\n- Perform cost/benefit and cost/effectiveness analysis of a new technology.","bayer; clinical-trial; medical-devices; medical-technology; cost-benefit-analysis; medical-device; analysis; evaluation; insurance; cost","Healthcare Marketplace",4.0,"https://www.coursera.org/specializations/healthcare-marketplace","The first course, Healthcare Marketplace Overview, covers all of the major sub-sectors of the healthcare industry including the physician, hospital, insurer and medical technology markets, including a historical perspective. The second course, Healthcare Delivery Providers, takes an in-depth look at the system of healthcare delivery and the transformations occurring to improve the health of populations and communities. The third course,Pharmaceutical and Medical Device Innovations, gives the learner an in-depth view of the intellectual property creation that is vital to creating breakthrough technologies. The fourth course, Medical Technology and Evaluation, explains how cost-effectiveness analysis is used in the healthcare market to put a monetary value on a life saved through a new innovation.\\n\\nThe Capstone brings together key skills engendered from the four courses to create an original medical innovation valuation. The first course teaches the learner to size a population or market. The second course explores whether the healthcare delivery system and the clinicians will or will not find value from deploying a new innovation. The third course identifies the competitive landscape of medical technology innovations to compete or complement. The fourth course teaches how to put a monetary value on the improvement in health resulting from a new innovation. In this way, the suite of four courses supports the capstone experience.","[7.3,13.5]","Spanish","English","business","finance","f-Q8K3HtEeWIfhKr_WcYsQ"]
["2. Upskill","Medical Device and Biotech","TECH MeD: Transdisciplinary Education for Critical Hacks of Medical Devices","University of Florida","[NULL]",9.5,3.43,"https://www.coursera.org/learn/tech-med-medical-devices","This course seeks to create an informed public, aware of the technical, medical, legal, and ethical issues associated with implantable medical devices. The course features conversations with experts from a variety of relevant fields to discuss the present and future technological, ethical, legal, and social challenges associated with implantable medical devices.\\n\\nDISCLAIMER: This course is intended for educational purposes only.  None of the information provided in this course constitutes medical or legal advice.  If you have medical or legal questions, contact your physician or attorney.","denominación de origen; infusion pump; secure by design; medical device; edward de bono; medicine; insulin pump; biomedical engineering; medical software; medical devices","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43962.0,"None","English","life-sciences","healthcare-management","Z03JVoZzEeWfngrMqWa91Q","[NULL]"]
["2. Upskill","Medical Device and Biotech","Patenting in Biotechnology","Technical University of Denmark (DTU)","Advanced",44.6,4.55,"https://www.coursera.org/learn/patenting-bio-ipr","Far too often, researchers are misinformed about the role and the possibilities arising around patents and Intellectual Property Rights (IPR). In this course we will teach you what IPR are - with a special focus on patents. Also this course will look at the importance of patents in the world of biotechnology - and what you actually can patent.\\n\\nShould your research be protected? Can your research even be protected? \\nThere are a lot of misunderstandings about patents, so first step is to know what patents really are and how they work. Then we will introduce how and when to apply for them. Also how to find existing patents is a crucial and necessary element to being able to assess whether your research should be protected or not.\\n\\nThe course will be divided in 7 sessions, and at the end of the course, you should be able to:\\n- describe the different types of IPR\\n- explain the conditions of patentability for an invention\\n- describe the various stages involved in a patent application\\n- search and retrieve patent information from databases\\n- read and understand a patent\\n- write claims related to biotechnology\\n- understand and explain the concept of Freedom To Operate\\n\\nCourse Materials:\\nYou will need the following book as a reading material for the course:\\n“Patenting in Biotechnology, a laboratory manual” by Peter Ulvskov, which will be available from \\nhttp://polyteknisk.dk/home/Detaljer/9788750211068\\n\\nAlso, you will need to get access from your home institution to these databases:\\n- Derwent Innovation Index (via Web of Science)\\n- SciFinder\\n\\nNB:\\nThis course is related to a 5 ECTS point course that is a mandatory requirement for access to the BioBusiness and Innovation Platform (BBIP) program at the Copenhagen Business School. NOTE: this Coursera course will NOT be sufficient for attending the BBIP program but successful completion of this course (with a Course Certificate) will be a plus for applying to the BBIP. \\nTo obtain the 5 ECTS points, you will have to enrol as a DTU Student, participate on a hands-on workshop on patent databases and pass an exam in presence of an external Censor.  For more information, please email me at:\\n\\nfdemasi@cbs.dtu.dk\\n\\nLink for BBIP: (http://www.cbs.dk/viden-samfundet/strategiske-indsatsomrader/biobusiness-and-innovation-platform-bbip)","database; patent-law; biotechnology; law; intellectual-property; intellectual-property-law; intellectual; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.1,73.7]","NA","English","life-sciences","basic-science","4wNS4rhtEeWbNBLZhfEI2Q"]
["2. Upskill","Medical Device and Biotech","Drug Commercialization","University of California San Diego","Intermediate",22.3,4.68,"https://www.coursera.org/learn/drug-commercialization","The University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences Drug Commercialization course brings you lectures from both faculty and industry experts.   With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug commercialization.\\n\\nThis course will cover pharmacoeconomic, marketing strategy, intellectual property strategy, portfolio management, managed markets and strategic alliances. It will also have a lecture case study from startup to success.\\n\\nIn addition, the course will discuss post-marketing clinical trials or Phase 4 trials. These are conducted after a new drug has been approved by the regulatory agencies and launched. In these studies, the new drug is prescribed in an everyday healthcare environ­ment using a much larger group  of patients.  This enables new treat­ment uses for the new drug to be developed, comparisons with other treatments for the same indication to be made, and determination  of the clinical  effectiveness of the new drug in  a wider variety of  patient types, and  more rare side effects, if any, may be detected .\\n\\nPre-marketing strategy should be instigated as early as Phase 1 clinical trials to ensure that the market's needs are incorporated into the new drug's overall develop­ment. Later phases when clinical results are presented at international medical conferences the marketing strategy is then refined in  order to develop an awareness amongst the medical community who will be prescribing the new drug. In addition to the marketing strategy, pricing strategy and a tactical plan will be developed. Promotional material, and the sales force will be trained so that when the product is approved they can promote the drug to physician, pharmacist and nurses.  \\n\\nThis course is intended as part 3 of a series: Drug Discovery (https://www.coursera.org/learn/drug-discovery), Drug Development (https://www.coursera.org/learn/drug-development) and Drug Commercialization.  We would highly recommend that you take the courses in order since it will give you a better understanding on how a drug is discovered in the lab before being tested in clinical trials and then launched in the market place.","drug-development; sales; market-economics; drugs; commercialization; pharmaceutical-marketing; marketing; modeling; drug; partnership","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.9,37.4]","NA","English","life-sciences","healthcare-management","fcqBEnxQEeaXRRKK7mMjqw"]
["2. Upskill","Medical Device and Biotech","Drug Discovery","University of California San Diego","Beginner",14.2,4.59,"https://www.coursera.org/learn/drug-discovery","The University of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences Drug Discovery course brings you lectures from both faculty and industry experts.   With this course, recorded on campus at UCSD, we seek to share our access to top people in the field who bring an unprecedented range of expertise on drug discovery.  \\n\\nIn this course you will learn the drug discovery process up to the filing of an Initial New Drug Application or IND. Each week you will learn the steps that a pharmaceutical or biotech company goes through to discover a new therapeutic drug. In this course you will be able to:\\n\\n  *   Understand the pharmaceutical and biotechnology market a changing landscape\\n  *   Learn the major aspects of the drug discovery process, starting with target selection, to compound screening to designing lead candidates.\\n  *   Recognize current modern drug discovery based on the lock-and-key theory, which attempts to use one single compound to hit one target to combat the related disease.\\n  *   Increase understanding of the various drug discovery tools and methods that are used for finding, identifying and designing a new drug.\\n  *   Define and understand the regulatory responsibilities for drug discovery to file an Investigational New Drug Application (IND).\\n\\nThis course is intended as part 1 of a series: Drug Discovery, Drug Development (https://www.coursera.org/learn/drug-development) and Drug Commercialization (https://www.coursera.org/learn/drug-commercialization).  We would highly recommend that you take the courses in order since it will give you a better understanding on how a drug is discovered in the lab before being tested in clinical trials and then launched in the market place.","drug-development; clinical-development; process; drug-discovery; drugs; drug; drug-design; pharmacology; clinical-drug-development; pharmacokinetics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,20.9]","NA","English","life-sciences","healthcare-management","otXDLXvUEeaahA7WQe-h_w"]
["2. Upskill","Medical Device and Biotech","Engineering Life: Synbio, Bioethics & Public Policy","Johns Hopkins University","Advanced",18.7,4.63,"https://www.coursera.org/learn/synbioethics","Synbio is a diverse field with diverse applications, and the different contexts (e.g., gain-of-function research, biofuels) raise different ethical and governance challenges. The objective of this course is to increase learners’ awareness and understanding of ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology. The course will begin with a short history of recombinant DNA technology and how governance of that science developed and evolved, and progress through a series of areas of application of synbio. \\n\\nContent will be presented in many forms, including not only reading and lectures, but also recorded and live interviews and discussions with scientists, ethicists and policy makers. Learners will have the opportunity to think, write and talk about the issues and challenges in their own work and in real-life case examples. A final project will engage students in the development of governance models for synbio.","decision-making; dna; bioethics; biology; critical-thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,23.6]","NA","English","life-sciences","public-health","pjyrh4miEeaMiAqVzgob_Q"]
["2. Upskill","Medical Device and Biotech","idea 2 IMPACT: An Introduction to Translating Assistive Health Technologies and Other Products","University of Pittsburgh","Intermediate",16.1,1.0,"https://www.coursera.org/learn/idea-2-impact","idea 2 IMPACT (i2I) is an online, 6-week course that will guide you step by step through the experience of developing an innovative and entrepreneurial idea in the area of assistive technology (AT). Each week, you will focus on a stage of the translational process as you work in teams to identify a problem, analyze stakeholders, define a solution, describe its benefits, research the competition, articulate differentiators, and create an action plan.","food and drug administration; direct-to-consumer advertising; well; experience; problem finding; a t.i.m.e.; influencer marketing; drugs; biomedical technology; must","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44123.0,"None","English","life-sciences","research","d1xy0xUTEemsUw7BhxTEcg","[NULL]"]
["2. Upskill","Medical Education","Teaching and Assessing Clinical Skills","University of Michigan","[NULL]",15.0,4.65,"https://www.coursera.org/learn/clinical-skills","The purpose of this course is to improve feedback, clinical teaching, and assessment of clinical skills.","medical education; Patient Care; internal medicine; Orthopedics; debriefing; bronchiolitis; secondary source; medicine; clinical research; physical therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44031.0,"Portuguese","English","life-sciences","patient-care","foWk0kzZEeWllxIBvPBb1w","[NULL]"]
["2. Upskill","Medical Education","Spanish for Successful Communication in Healthcare Settings","Rice University","Advanced",15.8,4.83,"https://www.coursera.org/learn/spanish-in-healthcare-settings","Welcome to Spanish for Successful Communication in Healthcare Settings! This course is structured in four modules, each one revolving on a topic related to the physician-patient interaction. Each module contains four lessons; on grammar, vocabulary, the dynamics of the spoken interaction, and aspects of sociocultural relevance. The video lessons are unlike regular “lectures” in which you are just listening. Instead, you should think of them as virtual classes where you are supposed to reflect, complete activities, and even get extra practice on your own time. The videos are a roadmap that will provide what you need to complete the activities on the student handout. Each module is followed by a 10-question quiz. It is important that you complete the lessons sequentially, as they build upon each other.","communication; cross-cultural communication; entry point; health care; health; health communication; well; skill mix; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44094.0,"None","Spanish","life-sciences","patient-care","8C4UmG3sEeaIOQrp2Qyjxw","[NULL]"]
["2. Upskill","Medical Education","Instructional Methods in Health Professions Education","University of Michigan","Advanced",30.9,4.65,"https://www.coursera.org/learn/instructional-methods-education","This course provides those involved in educating members of the health professions an asynchronous, interdisciplinary, and interactive way to obtain, expand, and improve their teaching skills. These skills can then be applied within their own professional context, with a variety of learners, extending across many stages.\\n\\nAfter completing this course, learners will:\\n1. Understand educational theory as it relates to health professions education\\n2. Match instructional methods with desired educational outcomes\\n3. Learn a variety of applied teaching techniques\\n4. Share successful teaching strategies\\n\\nSuggested resources will include educational videos, individual readings, recommended\\nreference books, and crowd-sourced recommendations. All students should have\\ndependable access to the internet with video streaming capabilities. Some students\\nmay want the ability to utilize on-line video conferencing as well.","teaching; teaching method; vital signs; high fidelity; instructional design; Adult Education; simulation; nursing; adult learner; pedagogy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13, 43","None","English","life-sciences","public-health","oFRMKhbHEeWKlgqs7LdhRw","[NULL]"]
["2. Upskill","Mental Health","Mind Control: Managing Your Mental Health During COVID-19","University of Toronto","Beginner",6.4,4.84,"https://www.coursera.org/learn/manage-health-covid-19","Never in the history of humanity have so many people been feeling intense anxiety related to COVID-19 and the world it will leave in its wake.  The intent of this course is to give you a deeper understanding of the anxiety reaction as it relates to various aspects of our current life, ranging from our consumption of news to the way we talk to our children about this.  I will also give you clear strategies for managing and, in fact, turning off the anxiety response at least for short periods.  My sincere hope is that you will leave this course with a better understanding of how your brain reacts to crises, along with some powerful tools for managing it before it manages you.\\n\\nIn this course we will cover:\\n\\n1.1  Introduction and Overview\\n1.2 Understanding the Anxiety Response\\n1.3 The Necessity of Strategies to Manage Anxiety\\n1.4 Achieving Relaxation: A Skill We All Need to Learn Now\\n\\n2.1 Why Watching the News is Addicting and How to Manage Your Consumption\\n2.2 The Critical Art of Mental Distraction to Crowd Out Stressors\\n2.3 How We Think About Physical Distancing and Explaining it to Our Children\\n\\n3.1 The Effects of Isolation\\n3.2 Some Strategies to Make Isolation More Tolerable\\n3.3 The Importance of Social Connection in a Physical Distancing World\\n\\n4.1 The Need to Guard Against Depression: The Importance of Control\\n4.2 Bring it Together: Practice Makes Proficient\\n4.3 Invitation to Suggest Additional Videos","clinical psychology; psychology; anxiety; hypnosis; Art History; history; Child Psychology; mind control; mental health; child","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43929.0,"Hungarian; Spanish","English","life-sciences","psychology","Fy-zfWrdEeqxfBJ8qxAdeQ","[NULL]"]
["2. Upskill","Mental Health","Major Depression in the Population: A Public Health Approach","Johns Hopkins University","Intermediate",16.3,4.68,"https://www.coursera.org/learn/public-health-depression","Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the entire world! Every human being suffers from feeling depressed at some point or other, but only about one fifth of the population will experience an episode of depressive disorder over the course of their lives. This course illuminates the public health approach to disease, and the particular complexities of applying this approach to mental disorders, using depression as the exemplar.","suicide; global mental health; epidemiology; psychotherapy; psychiatry; psychology; public health; counseling psychology; mental health; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44063.0,"Chinese","English","life-sciences","public-health","s6_Z4SBAEeWcQw5YiljpGw","[NULL]"]
["2. Upskill","Nutrition","Weight Management: Beyond Balancing Calories","Emory University","Intermediate",14.2,4.59,"https://www.coursera.org/learn/weight-management-beyond-balancing-calories","Across the globe, more people are suffering from obesity than at any other time in our history. Why has obesity become so common and so challenging? In this course, we will look at the root cause of obesity, as explained by the latest science. We will see how our food environment has evolved over the last half-century, and how it is altering our biology to over-consume calories and resist sustained weight loss. We will also see how stress, a sedentary lifestyle, and inadequate sleep disrupt our appetite control system to promote gaining weight. By developing a better understanding of the physiology behind obesity, you will learn how to work with your body to prevent and manage weight gain. This course will also provide practical tools and strategies for creating a long-term, sustainable weight management plan to leverage your habits and your surroundings.","clinical nutrition; physiology; english language; food science; diet (nutrition); weight loss; nutrition; time management; clinical psychology; plant nutrition","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44028.0,"None","English","life-sciences","nutrition","0bpfc_TPEeiaCRLMPMUxyA","[NULL]"]
["2. Upskill","Nutrition","Nutrition and Lifestyle in Pregnancy","Ludwig-Maximilians-Universität München (LMU)","Beginner",8.2,4.77,"https://www.coursera.org/learn/nutrition-pregnancy","Nutrition and Lifestyle in Pregnancy offers an overview of the latest research findings and international recommendations on a variety of nutrition-related aspects and outcomes of pregnancy.  Ensuring a healthy nutritional status and lifestyle prior to and during pregnancy is one of the best ways to help support the healthy growth and development of the unborn child. We will look at how a healthy diet and lifestyle should ideally be achieved prior to conception and provide recommendations for pre-conception counselling of women.\\n\\nWe will also look at the nutritient recommendations for a healthy pregnancy to ensure optimal maternal and fetal outcomes as well as focus on the most common nutrition-related pregnancy complications; obesity and gestational diabetes. \\n\\nThe learner will have the opportunity to delve into the cutting-edge world of epigenetic and metabolomic research and appreciate the enormous role that these programming effects have in long-term health and disease outcomes.\\n\\nFinally, we offer real life, everyday situations and questions from pregnant women to aid healthcare professionals in the nutrition-based counselling of pregnant women and their families.\\n\\nIn addition to the English original, subtitles in Portugese language are available now!","nutrition; diet (nutrition); physical therapy; obstetrics; medicine; child development; pregnancy; women's health; Gynecology; pharmacy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43931.0,"Portuguese","English","life-sciences","nutrition","EtEAgQeUEea_hRLvvwwU3Q","[NULL]"]
["2. Upskill","Nutrition","The New Nordic Diet - from Gastronomy to Health","University of Copenhagen","Beginner",9.2,4.52,"https://www.coursera.org/learn/new-nordic-diet","The New Nordic Diet is a new food culture developed in 2009-13 with key emphasis on gastronomy, health, and environment. Major research in its effect on acceptability, behaviour and learning skills, and disease prevention have been conducted by the OPUS centre at the University of Copenhagen and the people behind the award-winning restaurant Noma in Copenhagen.\\n\\nThis course will give the participants the opportunity to experience a healthy and palatable new food and eating concept diet “The New Nordic Diet” and an understanding of how food and diets can affect mental and physical health and ensure the foundation for a healthier life style for future generations with a regional based diet and food culture.  \\n\\nIn Denmark “the Nordic cuisine”, has expanded from food eaten at the award-winning Copenhagen restaurant Noma to home-made dishes of local ingredients of whole-grain rye bread, root vegetables, berries, fresh fish and seaweed.\\n\\nThis course is also part of the EIT Health Programme","plant nutrition; diet (nutrition); dietetics; food science; nutrition; eating; diet food; diets; dieting; acceptance","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43961.0,"None","English","life-sciences","nutrition","Uq0cvh6TEeS2uyIACzGOcw","[NULL]"]
["2. Upskill","Palliative Care","What is Palliative Care?","University of Colorado System","Intermediate",12.9,4.83,"https://www.coursera.org/learn/what-is-palliative-care","Palliative care provides invaluable help for patients living with serious or life-limiting illness and their family caregivers.  Palliative care should be part of healthcare services to improve quality of life, the ability to tolerate and benefit from treatment and improve survival. In this course, you will learn about the nature of suffering and how this concept can help you understand the experience of people living with serious illness. Next, you will learn skills to more effectively communicate with patients, families and other care providers to both understand their experiences and provide an extra layer of support. In the next module you will explore your own core values and beliefs and how they impact your work with others. Finally, you will learn how to do a whole person assessment to understand the needs of people with serious illness so you can develop a plan to support them. \\n\\nYou will be able to immediately use these insights, skills and tools in your work with people living with serious illness. In later courses, you will learn to ease pain and other symptoms, such as loss of appetite, shortness of breath and fatigue. In the final course, you will explore ways to ease psycho-social-spiritual distress. These courses will prepare you to bring basic palliative care to all in need.","h.e.a.r.; canning; empathy; advance care planning; belief; patient; experience; well; self-awareness; suffering","Palliative Care: It's Not Just Hospice Anymore",1.0,"https://www.coursera.org/specializations/palliative-care","People living with serious, life-limiting, chronic illness experience significant suffering. Fortunately there are new and developing treatments which may cure some and improve survival for many people living with serious illness. However, seriously ill people and their loved ones still experience many distressing physical symptoms as well as spiritual, social and psychological distress. There is much we can do to support people to live well with serious and life-limiting illness by understanding the causes of suffering, using effective communications, and incorporating careful assessments and interventions designed to address specific needs.\\n\\nThe Palliative Care: It’s not Just Hospice Specialization covers core concepts on the nature of suffering and demonstrates how to evaluate suffering and illustrates this in realistic patient scenarios. In subsequent weeks we learn and practice specific skills to improve communication with patients and families to help them express their experience, express and understand their core goals and values and our own empathic response. You will also learn about specific problems such as physical pain, fatigue and shortness of breath as well as psychological issues such as depression and anxiety. In addition, spiritual and social distress will be discussed with a focus on the practical evaluation and management of these challenges. All of these skills will enable you to support people to live active and full lives despite serious illness.",44000.0,"Arabic","English","life-sciences","patient-care","DbFxt9bKEeeIbwqmmTZQLA","DXgSk9bKEeeLixLsnT1K4A"]
["2. Upskill","Palliative Care","Pain Management: Easing Pain in Palliative Care","University of Colorado System","Intermediate",6.8,4.73,"https://www.coursera.org/learn/pain-management-easing-pain-in-palliative-care","In this course, you will be able to develop a systems view for assessing and managing pain in the palliative care setting. By the end of the course, you will be able to: 1) Describe the pain problem in the palliative care setting; 2) Assess a person’s pain, 3) Explain the benefits of integrative therapies and pharmacologic strategies to manage pain.","reflexology; Scaling; pharmacology; management; procedural design; statistical classification; systems pharmacology; reiki; death; pain management","Palliative Care: It's Not Just Hospice Anymore",2.0,"https://www.coursera.org/specializations/palliative-care","People living with serious, life-limiting, chronic illness experience significant suffering. Fortunately there are new and developing treatments which may cure some and improve survival for many people living with serious illness. However, seriously ill people and their loved ones still experience many distressing physical symptoms as well as spiritual, social and psychological distress. There is much we can do to support people to live well with serious and life-limiting illness by understanding the causes of suffering, using effective communications, and incorporating careful assessments and interventions designed to address specific needs.\\n\\nThe Palliative Care: It’s not Just Hospice Specialization covers core concepts on the nature of suffering and demonstrates how to evaluate suffering and illustrates this in realistic patient scenarios. In subsequent weeks we learn and practice specific skills to improve communication with patients and families to help them express their experience, express and understand their core goals and values and our own empathic response. You will also learn about specific problems such as physical pain, fatigue and shortness of breath as well as psychological issues such as depression and anxiety. In addition, spiritual and social distress will be discussed with a focus on the practical evaluation and management of these challenges. All of these skills will enable you to support people to live active and full lives despite serious illness.",43870.0,"None","English","life-sciences","patient-care","x9ACv9bMEeejtw46kWa8dA","DXgSk9bKEeeLixLsnT1K4A"]
["2. Upskill","Palliative Care","Easing Physical Symptoms: It's Not Just Hospice Anymore","University of Colorado System","Intermediate",9.0,4.75,"https://www.coursera.org/learn/easing-physical-symptoms","Palliative care provides important support for people living with serious or life-limiting illnesses and their family caregivers. In this course, you will learn to use symptom assessment tools to better understand which symptoms are present and which are most distressing. In subsequent weeks you will learn about some of the most common and distressing symptoms such as anorexia (loss of appetite), dyspnea (shortness of breath), fatigue (weakness), delirium(confusion) and constipation and nausea/vomiting. For each of these symptoms, you will learn about the underlying cause and potential ways to support people and their families to manage the symptoms with simple practical and non-medical approaches as well as a review of medications as appropriate. In addition, you will learn to help people with their emotional response to symptoms and loss of function.\\n\\nYou will be able to immediately use these insights, skills, and tools in your work with people living with serious illness. In other courses, you will learn communication skills, whole person assessment, how to ease physical pain and explore ways to ease psycho-social-spiritual distress.","diary studies; lewy body dementia; dexamethasone; business mathematics; cachexia; deconditioning; instant breakfast; methylphenidate; delirium; haloperidol","Palliative Care: It's Not Just Hospice Anymore",3.0,"https://www.coursera.org/specializations/palliative-care","People living with serious, life-limiting, chronic illness experience significant suffering. Fortunately there are new and developing treatments which may cure some and improve survival for many people living with serious illness. However, seriously ill people and their loved ones still experience many distressing physical symptoms as well as spiritual, social and psychological distress. There is much we can do to support people to live well with serious and life-limiting illness by understanding the causes of suffering, using effective communications, and incorporating careful assessments and interventions designed to address specific needs.\\n\\nThe Palliative Care: It’s not Just Hospice Specialization covers core concepts on the nature of suffering and demonstrates how to evaluate suffering and illustrates this in realistic patient scenarios. In subsequent weeks we learn and practice specific skills to improve communication with patients and families to help them express their experience, express and understand their core goals and values and our own empathic response. You will also learn about specific problems such as physical pain, fatigue and shortness of breath as well as psychological issues such as depression and anxiety. In addition, spiritual and social distress will be discussed with a focus on the practical evaluation and management of these challenges. All of these skills will enable you to support people to live active and full lives despite serious illness.",43932.0,"None","English","life-sciences","patient-care","Av0OBvxuEeeU4hL8k87SoA","DXgSk9bKEeeLixLsnT1K4A"]
["2. Upskill","Palliative Care","Psychosocial and Spiritual Aspects of Palliative Care","University of Colorado System","Intermediate",13.1,4.81,"https://www.coursera.org/learn/psychosocial-spiritual-aspects-palliative-care","In this course, you’ll learn how serious and life-threatening illnesses often affect emotional and spiritual well-being. Illnesses can increase stress as patients and families learn to live with a “new normal” that may often focus on illness. You’ll learn how to tell when normal sadness (or grief) becomes something more serious and needs to be addressed. People with serious illnesses also have social concerns as their family, friends and community support system becomes stretched, and sometimes fails. We’ll talk about resources and skills you can use to help support patients and families. You’ll learn about advance care planning, that includes shared decision-making, setting goals of care, and writing down plans for care.","death; dementia; grief; advance care planning; body image; coaching; algor mortis; disenfranchised grief; spiritual distress; psychosocial","Palliative Care: It's Not Just Hospice Anymore",4.0,"https://www.coursera.org/specializations/palliative-care","People living with serious, life-limiting, chronic illness experience significant suffering. Fortunately there are new and developing treatments which may cure some and improve survival for many people living with serious illness. However, seriously ill people and their loved ones still experience many distressing physical symptoms as well as spiritual, social and psychological distress. There is much we can do to support people to live well with serious and life-limiting illness by understanding the causes of suffering, using effective communications, and incorporating careful assessments and interventions designed to address specific needs.\\n\\nThe Palliative Care: It’s not Just Hospice Specialization covers core concepts on the nature of suffering and demonstrates how to evaluate suffering and illustrates this in realistic patient scenarios. In subsequent weeks we learn and practice specific skills to improve communication with patients and families to help them express their experience, express and understand their core goals and values and our own empathic response. You will also learn about specific problems such as physical pain, fatigue and shortness of breath as well as psychological issues such as depression and anxiety. In addition, spiritual and social distress will be discussed with a focus on the practical evaluation and management of these challenges. All of these skills will enable you to support people to live active and full lives despite serious illness.",43967.0,"None","English","life-sciences","patient-care","5ykQv9bMEeeewApjcDCDbg","DXgSk9bKEeeLixLsnT1K4A"]
["2. Upskill","Palliative Care","Palliative Care Capstone Projects","University of Colorado System","Beginner",20.7,5.0,"https://www.coursera.org/learn/palliative-care-capstone-project","In the Capstone Course you have the opportunity to put what you have been learning about in the Palliative Care Specialization into practice. Our team has created five activities that directly relate to what you have been learning in the course. You will need to talk with someone you know, perhaps a friend or family member, about their experiences living with serious and life limiting illness. You may want to engage several people as you go through the 5 assignments as they each will have unique experiences. \\n\\nThe Five Assignments: \\n\\n1) Use the Nature of Suffering Evaluation Form to guide your conversation with someone living with serious illness and report and reflect on how this illness is impacting different aspects of their lives. \\n\\n2) Using SNAP/Self-Awareness skills explore the values of someone close to you and your own values as relate to health, illness and dying. \\n\\n3) Using the WILDA tool complete a pain assessment with someone living with serious illness. \\n\\n4) Using the ESAS tool complete a physical symptom assessment with someone living with serious illness. \\n\\n5) Have a conversation with someone you know about Advance Care Planning. In the assignment you will focus on who would be the person that they would want to speak for them if they could not speak for themselves, often known as the MDPOA. \\n\\nWhen you successfully complete all 5 of these assignments and the other course work you will earn the Coursera Specialization Certificate in Palliative Care. More importantly you will be prepared to help others live well with serious and life-limiting disease.","empathy; fetch-and-add; connection pool; communication; link register; learning; finger protocol; medicine; address bar; mindfulness","Palliative Care: It's Not Just Hospice Anymore",5.0,"https://www.coursera.org/specializations/palliative-care","People living with serious, life-limiting, chronic illness experience significant suffering. Fortunately there are new and developing treatments which may cure some and improve survival for many people living with serious illness. However, seriously ill people and their loved ones still experience many distressing physical symptoms as well as spiritual, social and psychological distress. There is much we can do to support people to live well with serious and life-limiting illness by understanding the causes of suffering, using effective communications, and incorporating careful assessments and interventions designed to address specific needs.\\n\\nThe Palliative Care: It’s not Just Hospice Specialization covers core concepts on the nature of suffering and demonstrates how to evaluate suffering and illustrates this in realistic patient scenarios. In subsequent weeks we learn and practice specific skills to improve communication with patients and families to help them express their experience, express and understand their core goals and values and our own empathic response. You will also learn about specific problems such as physical pain, fatigue and shortness of breath as well as psychological issues such as depression and anxiety. In addition, spiritual and social distress will be discussed with a focus on the practical evaluation and management of these challenges. All of these skills will enable you to support people to live active and full lives despite serious illness.",44131.0,"None","English","life-sciences","patient-care","2DxCtXi9EeioegqZEo5qNg","DXgSk9bKEeeLixLsnT1K4A"]
["2. Upskill","Patient Care","Health for All Through Primary Health Care","Johns Hopkins University","Intermediate",15.1,4.64,"https://www.coursera.org/learn/health-for-all","This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this goal in selected populations and how the principles of primary health care can guide future policies and actions.\\n\\nTwo of the most inspiring, least understood, and most often derided terms in global health discourse are “Health for All” and “Primary Health Care.” In this course, we will explore these terms in the context of global health, their origins and meanings, the principles upon which they rest, and examples of how these principles have been implemented at both small and large scale. We will also explore some ultra-low-cost approaches to Health for All through primary health care, and the promise that primary health care holds for eventually achieving Health for All.\\n\\nEach module of this course consists of approximately one hour or lecture, approximately one hour of additional readings or video presentations, and two additional hours devoted to studying for each of the quizzes, writing and evaluating two short peer-review assignments, and participating in the discussion forums.\\n\\nDeveloped in collaboration with Johns Hopkins Open Education Lab.","education; health-for-all; health-system; health-care; cmos; training; leadership; community-health; systems-thinking; integration-testing","Foundations of Global Health",3.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.","[9.3,17.6]","NA","English","life-sciences","patient-care","hmUA37FKEeS5liIACye34Q"]
["2. Upskill","Patient Care","History of Medical Cannabis","University of Colorado Boulder","Intermediate",16.2,4.9,"https://www.coursera.org/learn/history-medical-cannabis-cbd-thc","This History of Medical Cannabis course is designed to have you think critically about past, present, and future research on the health effects of cannabis by developing a more nuanced understanding of the barriers to research as well as different approaches to research. You will learn about the history of cannabis cultivation, the legal history of cannabis or \"marijuana\",  and the obstacles that led to the lack of science on its medicinal use. You will also learn how to critically evaluate research on the effects of cannabis cannabis, and discuss the associated risks of using cannabis in the context of public health and epidemiological research. Finally, you will learn about how to administer cannabis products in ways that minimize risk adn maximize any potential benefits.  Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.","history of medical cannabis; health; clique graph; clinical study design; cannabinoid; directed cycle; bubble chart; circuit rank; covering graph; clique number","Medical Cannabis: The Health Effects of THC and CBD",1.0,"https://www.coursera.org/specializations/health-effects-cannabis-thc-cbd","The legalization of cannabis (i.e., marijuana) and the recent federal legalization of cannabidiol (CBD) has led to unprecedented access to cannabinoids (e.g. THC and CBD), a projected 60 billion dollar industry (cannabis and hemp) by 2025, and the fastest growing jobs sector in the economy according to recent reports in the media. Despite all of this, there is very little evidence-based information about the health effects of cannabis or about how to maximize the potential benefits while minimizing harm. Parents of children with seizure disorders, veterans with PTSD and chronic pain, cancer patients, and our aging parents deserve better. People WANT evidence-based information about the potential risks and benefits of cannabis products so that they can weigh the pros and cons of cannabis versus other options. They also want to know how to maximize the positive effects of cannabis while minimizing the side effects. This specialization is designed to provide that information.\\n\\nThe specialization is useful to a range of learners. It is intended for patients and their loved ones who have questions about cannabis and CBD products as well as for health care providers and others who work in public health who want to provide helpful information to patients. It is also intended for people who want to work in the cannabis industry. For all of these groups, understanding the evidence base is critical in terms of communicating the risks and potential benefits.",44123.0,"None","English","life-sciences","public-health","RAJu0SNAEemIAwpvLoU0yg","Q8jBxiNAEemFVBLWdp1NsA"]
["2. Upskill","Patient Care","Cannabis, Chronic Pain, and Related Disorders","University of Colorado Boulder","Intermediate",11.1,4.85,"https://www.coursera.org/learn/pain-cannabis-cbd-thc","This Cannabis, Chronic Pain, and Related Disorders course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of chronic pain, opioid use disorder, obesity, sleep dysfunction and cancer. We'll learn about the epidemiology and etiology of these conditions, the harms/benefits of current treatments, and learn how to evaluate the literature on cannabis for these conditions. We will discuss special considerations for using cannabis for these conditions, such as dose, timing, side effects, and drug interactions. Lastly, we'll discuss how it is being used in the context of palliative care. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.","pain; concurrency pattern; epidemiology; medical cannabis; apache mahout; chronic pain; concurrent collections; obesity; continuations; mental health","Medical Cannabis: The Health Effects of THC and CBD",2.0,"https://www.coursera.org/specializations/health-effects-cannabis-thc-cbd","The legalization of cannabis (i.e., marijuana) and the recent federal legalization of cannabidiol (CBD) has led to unprecedented access to cannabinoids (e.g. THC and CBD), a projected 60 billion dollar industry (cannabis and hemp) by 2025, and the fastest growing jobs sector in the economy according to recent reports in the media. Despite all of this, there is very little evidence-based information about the health effects of cannabis or about how to maximize the potential benefits while minimizing harm. Parents of children with seizure disorders, veterans with PTSD and chronic pain, cancer patients, and our aging parents deserve better. People WANT evidence-based information about the potential risks and benefits of cannabis products so that they can weigh the pros and cons of cannabis versus other options. They also want to know how to maximize the positive effects of cannabis while minimizing the side effects. This specialization is designed to provide that information.\\n\\nThe specialization is useful to a range of learners. It is intended for patients and their loved ones who have questions about cannabis and CBD products as well as for health care providers and others who work in public health who want to provide helpful information to patients. It is also intended for people who want to work in the cannabis industry. For all of these groups, understanding the evidence base is critical in terms of communicating the risks and potential benefits.",43995.0,"None","English","life-sciences","public-health","hrS3FyNAEemuMA7QGPfUJA","Q8jBxiNAEemFVBLWdp1NsA"]
["2. Upskill","Patient Care","Cannabis, Mental Health, and Brain Disorders","University of Colorado Boulder","Intermediate",10.4,4.78,"https://www.coursera.org/learn/mentalhealth-cannabis-cbd-thc","This Cannabis, Mental Health, and Brain Disorders course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of several mental health and neurocognitive disorders. You'll be able to identify key features of several anxiety disorders (e.g., panic disorder, generalized anxiety disorder, social anxiety disorder, PTSD), major depression, schizophrenia, multiple sclerosis, epilepsy, traumatic brain injury, and Alzheimer's and Parkinson's Disease. You'll understand the etiology and risk factors for these disorders, recognize conventional treatments, and understand the influence of different cannabinoids such as THC and CBD on these disorders. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.","mental health; anxiety disorder; identity disorder; epilepsy; alzheimer's disease; panic disorder; parkinson's disease; medical cannabis; panic; epidemiology","Medical Cannabis: The Health Effects of THC and CBD",3.0,"https://www.coursera.org/specializations/health-effects-cannabis-thc-cbd","The legalization of cannabis (i.e., marijuana) and the recent federal legalization of cannabidiol (CBD) has led to unprecedented access to cannabinoids (e.g. THC and CBD), a projected 60 billion dollar industry (cannabis and hemp) by 2025, and the fastest growing jobs sector in the economy according to recent reports in the media. Despite all of this, there is very little evidence-based information about the health effects of cannabis or about how to maximize the potential benefits while minimizing harm. Parents of children with seizure disorders, veterans with PTSD and chronic pain, cancer patients, and our aging parents deserve better. People WANT evidence-based information about the potential risks and benefits of cannabis products so that they can weigh the pros and cons of cannabis versus other options. They also want to know how to maximize the positive effects of cannabis while minimizing the side effects. This specialization is designed to provide that information.\\n\\nThe specialization is useful to a range of learners. It is intended for patients and their loved ones who have questions about cannabis and CBD products as well as for health care providers and others who work in public health who want to provide helpful information to patients. It is also intended for people who want to work in the cannabis industry. For all of these groups, understanding the evidence base is critical in terms of communicating the risks and potential benefits.",43993.0,"None","English","life-sciences","public-health","meHFISNAEemoOwqGUUJH-g","Q8jBxiNAEemFVBLWdp1NsA"]
["2. Upskill","Patient Care","Healthy Aging and the Future of Cannabis Research","University of Colorado Boulder","Intermediate",6.4,4.67,"https://www.coursera.org/learn/aging-research-cannabis-cbd-thc","This Healthy Aging and Future of Cannabis Research course is designed to have you think critically about the health effects of cannabis (i.e., marijuana) in the context of inflammation, exercise, and aging. You'll learn how inflammation and the microbiome may be related to the disorders discussed in class, and how cannabis may influence these disorder through modulating inflammation. We'll describe the relationship between the endocannabinoid system and exercise, and how cannabinoids may affect exercise performance and recovery. You'll learn how to identify key features of aging and how cannabinoids may influence the aging process. Obtaining this knowledge will be helpful in terms of informing public policy, public health, and personal decisions regarding the use of cannabis products.","3D Printing; 3d television; mental health; pain","Medical Cannabis: The Health Effects of THC and CBD",4.0,"https://www.coursera.org/specializations/health-effects-cannabis-thc-cbd","The legalization of cannabis (i.e., marijuana) and the recent federal legalization of cannabidiol (CBD) has led to unprecedented access to cannabinoids (e.g. THC and CBD), a projected 60 billion dollar industry (cannabis and hemp) by 2025, and the fastest growing jobs sector in the economy according to recent reports in the media. Despite all of this, there is very little evidence-based information about the health effects of cannabis or about how to maximize the potential benefits while minimizing harm. Parents of children with seizure disorders, veterans with PTSD and chronic pain, cancer patients, and our aging parents deserve better. People WANT evidence-based information about the potential risks and benefits of cannabis products so that they can weigh the pros and cons of cannabis versus other options. They also want to know how to maximize the positive effects of cannabis while minimizing the side effects. This specialization is designed to provide that information.\\n\\nThe specialization is useful to a range of learners. It is intended for patients and their loved ones who have questions about cannabis and CBD products as well as for health care providers and others who work in public health who want to provide helpful information to patients. It is also intended for people who want to work in the cannabis industry. For all of these groups, understanding the evidence base is critical in terms of communicating the risks and potential benefits.",43898.0,"None","English","life-sciences","public-health","rDAzzSNAEemN7hLiAmzXPg","Q8jBxiNAEemFVBLWdp1NsA"]
["2. Upskill","Patient Care","Preventative Healthcare for the Newborn Baby","University of Colorado System","Intermediate",6.9,4.77,"https://www.coursera.org/learn/preventive-healthcare-newborn-baby","In this course, you will learn some medical interventions and skills to keep newborns healthy in the days and weeks after they have been born.  We’ll tell you about medicines like Vitamin K and erythromycin and how they can prevent serious illnesses.  We’ll also introduce screening tests like hearing screening and newborn blood screening that help to make sure that babies are set up for success right from the start.  But we will start off by talking about jaundice, looking at the simple ways to identify and treat this common presentation and prevent any harm to babies.\\n\\nA newborn baby is an amazing beautiful life filled with hope.  There is so much that goes into making sure that babies are born healthy, and so much more to think about after they are born.  Whether you are in the health care field, or even a parent, this course is the perfect educational opportunity for you to keep newborn babies healthy in the days and weeks after they are born!","biliblanket; obstetrics; parenting; hepatitis b vaccine; audiology; exchange transfusion; nursing; bilirubin; pregnancy; pediatrics","Newborn Baby Care",1.0,"https://www.coursera.org/specializations/newborn-baby-care","A newborn baby is an amazing beautiful life filled with hope. Unfortunately, many babies die or experience preventable harm even in 21st century. It is imperative that babies who are born healthy get off to a healthy start in the first month of life. There are some easy tenets of care to implement that help ensure that babies and families get off to a healthy start no matter where they are in the world. In this specialization learners will acquire the skills necessary for newborn baby care to optimize their health in the hours, days and weeks after they are born.\\n\\nThe courses are designed to move the learner through the progression of care for healthy newborns in the first month of life. The first half of the specialization consists of clinical provisions such as initial medical interventions and screenings, health assessments and resulting diagnoses. The second half focuses on care provided at home including transport and sleep safety, nutrition, and parental and caregiver bonding.",43869.0,"None","English","life-sciences","patient-care","2N_HamBZEeiacApwcVRTJg","child~yodj-SscEemTXwog7RQ-hA"]
["2. Upskill","Patient Care","The Newborn Assessment","University of Colorado System","Intermediate",11.5,4.91,"https://www.coursera.org/learn/newborn-assessment","In your previous course, you learned some medical interventions and skills to keep newborns healthy in the days and weeks after they have been born.  In this course, you will learn what some additional skills that medical providers do to keep babies healthy.  The Newborn Assessment Course will walk you through the physical examination from head to toe.  You are going to learn that this is so much we can discover just by looking at a baby.  And yes, we will be listening too, and discussing how medical equipment, such as a stethoscope or a pulse oximeter, can help in your exam.  You will begin to be able to distinguish some normal findings from some abnormal findings.  \\n\\nA newborn baby is an amazing beautiful life filled with hope.  There is so much that goes into making sure that babies are born healthy, and so much more to think about after they are born.  Whether you are in the health care field, or even a parent, this course is the perfect educational opportunity for you to keep newborn babies healthy in the days and weeks after they are born!","cyanosis; acrocyanosis; hyperoxia test; fatty substances; pediatrics; obstetrics; nouveau; hyperoxia; lanugo; congenital diaphragmatic hernia","Newborn Baby Care",2.0,"https://www.coursera.org/specializations/newborn-baby-care","A newborn baby is an amazing beautiful life filled with hope. Unfortunately, many babies die or experience preventable harm even in 21st century. It is imperative that babies who are born healthy get off to a healthy start in the first month of life. There are some easy tenets of care to implement that help ensure that babies and families get off to a healthy start no matter where they are in the world. In this specialization learners will acquire the skills necessary for newborn baby care to optimize their health in the hours, days and weeks after they are born.\\n\\nThe courses are designed to move the learner through the progression of care for healthy newborns in the first month of life. The first half of the specialization consists of clinical provisions such as initial medical interventions and screenings, health assessments and resulting diagnoses. The second half focuses on care provided at home including transport and sleep safety, nutrition, and parental and caregiver bonding.",43905.0,"None","English","life-sciences","public-health","-7Yd3mOAEei1BQ4biu2z0A","child~yodj-SscEemTXwog7RQ-hA"]
["2. Upskill","Patient Care","Guidance to Keep Newborn Babies Safe and Healthy","University of Colorado System","Intermediate",5.9,4.93,"https://www.coursera.org/learn/keeping-newborn-baby-safe-healthy","In your previous 2 courses, you learned some medical interventions and skills to keep newborns healthy in the days and weeks after they have been born.  In this course, you will learn some key things that parents will need to do to keep their babies safe and healthy.  The Guidance to Keep Newborn Babies Safe and Healthy Course will teach you best practices for how your baby will spend most of their day: eating, sleeping, and sometimes crying.  Parents need to understand how to optimize nutrition, how to create a safe and happy sleep environment, how to safely transport their baby in their car, and how to respond to their baby’s crying. \\n \\nA newborn baby is an amazing beautiful life filled with hope.  There is so much that goes into making sure that babies are born healthy, and so much more to think about after they are born.  Whether you are in the health care field, or even a parent, this course is the perfect educational opportunity for you to keep newborn babies healthy in the days and weeks after they are born!","injuries; crotch; setuid; parenting; pregnancy; co-regulation; infant; learning; feed uri scheme; early childhood","Newborn Baby Care",3.0,"https://www.coursera.org/specializations/newborn-baby-care","A newborn baby is an amazing beautiful life filled with hope. Unfortunately, many babies die or experience preventable harm even in 21st century. It is imperative that babies who are born healthy get off to a healthy start in the first month of life. There are some easy tenets of care to implement that help ensure that babies and families get off to a healthy start no matter where they are in the world. In this specialization learners will acquire the skills necessary for newborn baby care to optimize their health in the hours, days and weeks after they are born.\\n\\nThe courses are designed to move the learner through the progression of care for healthy newborns in the first month of life. The first half of the specialization consists of clinical provisions such as initial medical interventions and screenings, health assessments and resulting diagnoses. The second half focuses on care provided at home including transport and sleep safety, nutrition, and parental and caregiver bonding.",43868.0,"None","English","life-sciences","public-health","HTR8EGOBEeiNugquZebGCg","child~yodj-SscEemTXwog7RQ-hA"]
["2. Upskill","Patient Care","Supporting Parents of a Newborn Baby","University of Colorado System","Intermediate",3.9,4.7,"https://www.coursera.org/learn/supporting-parents-newborn-baby","In this course, you will learn some core components in supporting parents of newborn babies.  The Supporting Parents of Newborn Babies Course will teach you best practices for what to expect in the newborn exam and how to best support parents, partners, and other caregivers.  This course examines post-partum depression, early bonding, and touch. This course introduces the important role of supportive partners and parents, in varied households, and what that support looks like. With every household as different, how can we effectively provide support as partners, fathers, co-parents, grandparents, and other guardians? As example, what are special considerations in adoption?  We wrap the Newborn Baby Care four course specialization with a guest appearance by a newborn baby, and a live Skills examination performed by course instructor, Dr. Mary Kohn.  \\n\\nA newborn baby is an amazing beautiful life filled with hope.  There is so much that goes into making sure that babies are born healthy, and so much more to think about after they are born.  Whether you are in the health care field, or even a parent, this course is the perfect educational opportunity for you to keep newborn babies healthy in the days and weeks after they are born!","parent; partnership; International Sales; Child Psychology; Changing Diapers; parenting; shared interest; representative example; lactation; postpartum depression","Newborn Baby Care",4.0,"https://www.coursera.org/specializations/newborn-baby-care","A newborn baby is an amazing beautiful life filled with hope. Unfortunately, many babies die or experience preventable harm even in 21st century. It is imperative that babies who are born healthy get off to a healthy start in the first month of life. There are some easy tenets of care to implement that help ensure that babies and families get off to a healthy start no matter where they are in the world. In this specialization learners will acquire the skills necessary for newborn baby care to optimize their health in the hours, days and weeks after they are born.\\n\\nThe courses are designed to move the learner through the progression of care for healthy newborns in the first month of life. The first half of the specialization consists of clinical provisions such as initial medical interventions and screenings, health assessments and resulting diagnoses. The second half focuses on care provided at home including transport and sleep safety, nutrition, and parental and caregiver bonding.",43834.0,"None","English","life-sciences","patient-care","aYDNu2OBEein_RLjrHDbzA","child~yodj-SscEemTXwog7RQ-hA"]
["2. Upskill","Patient Care","Organ Donation: From Death to Life","University of Cape Town","Intermediate",13.6,4.82,"https://www.coursera.org/learn/organ-donation","Considering someone for organ and tissue donation at the end of life is complicated. The boundary between life and death is more complex than ever before and it falls to medical professionals to help clarify a situation at an often confusing and emotionally stressful time.\\n \\nIn this course you will learn about the science behind death determination and when it is possible for deceased organ donation take place. The lectures will cover medical standards at the end of life - from brain death testing, to requesting informed consent from a grieving family. By improving knowledge of good ethical practices, cultural and religious considerations and the logistics of the organ donation process this course will empower the interactions and discussions of medical professionals and the general public at an often confusing time.\\n \\nThis course will help you to ensure that the option of organ donation is compassionately explored in all appropriate situations at the end of life in the best way possible.\\n\\nWatch the course trailer here https://www.youtube.com/watch?v=Ak-kVtmZGRs \\n\\nThe course is certified for continuing professional development (CPD) points in South Africa. Send your completion certificate to organdonation@uct.ac.za together with your HPCSA number for 25 general and 5 ethics points. \\n\\nFor another interesting course on organ donation and transplantation, see Clinical Kidney, Pancreas and Islet Transplantation from Leiden University https://www.coursera.org/learn/clinical-kidney-transplantation","informed consent; brain death; family; determination; patient; bioethics; principle; consent; death; process","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44000.0,"None","English","life-sciences","basic-science","63kEK0gyEeaeRgqQhMBV5Q","[NULL]"]
["2. Upskill","Patient Care","Thoracic Oncology","University of Michigan","Intermediate",26.7,4.93,"https://www.coursera.org/learn/thoracic-oncology","Thoracic malignancies are major, global health problems.  Lung cancer is the most common cancer and cause of cancer death in the world, with more than 1.5 million deaths per year.  More Americans will die from lung cancer each year (approximately 159,480) than from colon, breast, pancreatic, and prostate cancer combined (approximately 158,630), the next most common causes of cancer death.  Esophageal cancer is the 6th most common cause of cancer deaths worldwide, and the 4th most common cause in developing nations.\\n\\nThis course will provide a comprehensive, multidisciplinary introduction to state of the art approaches in the care of patients with thoracic malignancies, including various types of lung cancers and esophageal cancers.  Didactic material will cover epidemiology, screening and diagnosis, staging, imaging, radiation therapy, systemic therapy, surgery, psychiatry, and patient support topics.  \\n\\nThis is an on-demand course with integrated learning units that are focused on specific topics.  Each unit contains several video lectures with interactive questions and is followed by a short quiz.\\n\\nPrerequisites: None required although basic medical training in some field related to thoracic oncology would be helpful.","lung biopsy; cancer staging; patient; radiation therapy; radiology; Surgery; carcinoma; metastasis; cancer; oncology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","18, 32","None","English","life-sciences","basic-science","0rve3VyYEeW9BBKT5ztNhQ","[NULL]"]
["2. Upskill","Patient Care","Foundations of International Psychiatry","The University of Melbourne","Advanced",16.4,4.4,"https://www.coursera.org/learn/international-psychiatry","What are some of the skills required when interviewing patients? What information is required when taking a patient history or\\ncompleting a mental state examination? These are just some of the questions you'll seek answers to as you work through the course material.\\n\\nMental health is an important public issue across the world, and the role of the psychiatrist is crucial in helping to address these.\\n\\nThis course aims to give you a more nuanced understanding of the role of a psychiatrist, developing clinical skills and therapeutic relationships. Understanding the impact of mental illness in society and ethics in medicine are some of the key themes central to this course.\\n\\nThis course is designed to provide essential background knowledge and practical skills that apply to any\\nmental health clinical setting.","health; mental health; international relations; psychiatry; psychology; psychotherapy; psychiatrist; biopsychosocial model; counseling psychology; clinical psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44028.0,"None","English","life-sciences","basic-science","_TR8n9k4EeaDExLRWbCaPg","[NULL]"]
["2. Upskill","Patient Care","Implant Dentistry","The University of Hong Kong","Beginner",31.4,4.89,"https://www.coursera.org/learn/implant-dentistry","Implant Dentistry is one of the most dynamic and rapidly developing areas within oral health care. In spite of increasing popularity of implantology, it is a relatively new discipline within dental education and remains limited to post-graduate courses offered by dental schools in many parts of the world today.\\n\\nWith the vision to help dental practitioners gain clinical understanding of implantology and an opportunity to provide implant treatments to their patients, the Faculty of Dentistry of HKU (ranked No. 1 dental school in the World in 2016) developed this MOOC to provide a world-class quality, unbiased, evidence-based and clinically-oriented course in this discipline. \\n\\nWatch course trailer: https://youtu.be/ZZMLyy2EwEo\\n\\nWho are the faculties?\\nThe course teachers include more than 20 implant experts from 10 countries. Among others, you will learn from Professor NP Lang (Switzerland / Hong Kong), Professor Christoph Hämmerle (Switzerland), Professor Rino Burkhardt (Switzerland), Professor Paul Weigl (Germany), Professor Saso Ivanovski (Australia), Professor Man Yi (China), Professor Vasilios Chronopoulos (USA/ Greece), Dr Richard Chan (Australia), Dr Martin Janda (Sweden), Dr Chatchai Kunavisarut (Thailand),   Dr Ian HS Yip (Hong Kong) , Dr Michael Ho (Hong Kong), Dr Irina-Florentina Dragan (USA), Dr Adam Siu (Hong Kong), Dr James Chow (Hong Kong), Dr Alfred Lau (Hong Kong), Dr Coral Yao (China), Dr Nikos Mattheos (Hong Kong) and more.\\n\\nWhat are the contents covered in the course?\\nThe MOOC includes 5 modules and runs over a period of 5 weeks. We will begin the journey of Implant Dentistry by exploring how discoveries in biology and technological developments lead to the current practice of dental implants. Then, we will examine clinical cases, diagnose our patients’ needs and expectations and learn the principles of treatment planning. We will learn step-by-step surgical procedures for placing implants and various restorative techniques, directed by current evidence and best practices. Finally, we will investigate major threats and complications of implant procedures and ways to ensure successful treatments and long serving implants.\\n\\nWhat is the aim of the course?\\nThis MOOC has a strong clinical focus and is especially designed to enhance professional learning among dental practitioners and dental students. The course aims to help the students LEARN the fundamentals of implant dentistry, UNDERSTAND the treatment procedures and protocols, and APPLY the competences gained through interactive peer and case based learning. \\n\\nWho is the course for?\\nThe course is specially designed to serve multiple groups of learners: From intermediate and experienced general dental practitioners who want to establish and deepen their knowledge in implant dentistry and advance towards implementing implant treatment and restorative procedures, to dental students and recent graduates who wish to gain understanding of implant dentistry and increase their competence in related practice.\\n\\nThe course makes good use of evidenced-based education, sound eLearning pedagogies and 21st century “live” resources to engage and create the best learning experience for our students.","dentist; dental implant; digital dentistry; Surgery; Planning; orthodontics; patient; dentistry; endodontics; dental anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","9, 50","Chinese","English","life-sciences","basic-science","P_O_iZfiEeWZyg6bf_Oxkw","[NULL]"]
["2. Upskill","Patient Care","Essentials in Clinical Simulations Across the Health Professions","The George Washington University","Beginner",11.2,4.83,"https://www.coursera.org/learn/clinicalsimulations","This 7-week course provides you with key strategies to help understand the foundation of Clinical Simulations.  During each module, you will learn about 7 key components of Clinical Simulation Across the Health Professions and its' impact in your current position as a healthcare professional.  Please utilize all of the Resources provided by each of the modules to support and enhance your understanding of each concept.  You will learn about the following topics in this course:\\n\\nModule 1:  Getting Started in Clinical Simulation-the Fundamentals\\nModule 2:  INACSL Standards of Best Practice:  Simulation\\nModule 3:  Implementing Simulation in the Curriculum\\nModule 4:  Developing a Simulation Center\\nModule 5:  Basics of Debriefing in Simulation\\nModule 6:  Evaluation Methods in Simulation\\nModule 7:  SPs in Simulation\\n\\nAbout The George Washington University School of Nursing\\n\\nRanked among the top nursing schools by U.S. News & World Report, the George Washington University School of Nursing educates and inspires nurses to provide high-quality, compassionate person-centered health care. The school develops leaders actively engaged in health promotion, patient advocacy and healthcare innovation, and prepares exceptional nurse educators who pursue quality and advance the profession. The School of Nursing is committed to improving the health and wellbeing of people and communities locally, nationally and globally. The school values lifelong learning and its students advance nursing practice, leadership and education as they make a difference in the world.\\n\\nFor more in-depth simulation education, please see the GW Nursing Simulation Initiatives.\\nhttps://nursing.gwu.edu/gw-nursing-simulation-initiatives","communication; simulation; health; nursing; budget; debriefing; Healthcare Management; evaluation; Curriculum Development; education","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44025.0,"None","English","life-sciences","healthcare-management","TEdDF5ZiEei3uw5cOOJnRg","[NULL]"]
["2. Upskill","Patient Care","Physician/Student Opioid Use Disorder Medication Assisted Treatment Waiver Training (8hr)","University of Virginia","Beginner",16.7,"[NULL]","https://www.coursera.org/learn/opioids","This online course opportunity is made possible through a joint partnership with University of Virginia School of Medicine (UVASOM) and Nursing (SON) and the American Academy of Addiction Psychiatry (AAAP), Data 2000 sponsor for this MAT waiver training. This content was created by the AAAP and has been used with permission. This course is designed to highlight important issues affecting prescribing clinicians regarding the new requirements and guidelines in opioid prescribing and management for acute and chronic pain management. The course consists of 8 individual sessions of the required 8 hours of content for physicians who wish to apply for a waiver to prescribe buprenorphine for the treatment of opioid use disorders. Sessions include a non-graded pre assessment and 8 recorded audio sessions with graded post-module questions the total of which must be completed with 80% accuracy. Some modules contain a case study component. A certification of completion will be issued for successful completion of the entire training. Students who successfully complete the course during their educational program can apply for their waiver when they obtain their full DEA license.  \\n\\nEstimated time to complete this activity: 9.5 hours \\nRelease date: March 1, 2020\\nUVA Grant Dates: 09/30/2019 – 09/29/2022\\n\\nFunding for this initiative was made possible by a grant from SAMHSA. The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention of trade names, commercial practices, or organizations imply endorsement by the U.S. Government.","substance use disorder; efficacy; pregnancy; well; medication; evaluation; physicians; neurobiology; physician; pharmacology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44094.0,"None","English","life-sciences","healthcare-management","TkerthtoEeqQJw6Wlm3hnw","[NULL]"]
["2. Upskill","Patient Care","APP/PA Opioid Use Disorder Medication Assisted Treatment Waiver Training (24hr)","University of Virginia","Beginner",31.1,"[NULL]","https://www.coursera.org/learn/opioid-mgmt","This online course opportunity is made possible through a joint partnership with University of Virginia School of Medicine (UVASOM) and Nursing (SON) and the American Academy of Addiction Psychiatry (AAAP), Data 2000 sponsor for this MAT waiver training. This content was created by the AAAP and has been used with permission. This course is designed to highlight important issues affecting prescribing clinicians regarding the new requirements and guidelines in opioid prescribing and management for acute and chronic pain management. This course is divided into two parts; part 1 consists of 8 individual sessions of the required 24 hours of content; part 2 consists of the remaining 16 hours of content for advanced practice providers and physician assistants who wish to apply for a waiver to prescribe buprenorphine for the treatment of opioid use disorders. There are 3 case modules in part 1. Both part 1 & 2 contain graded post-module questions, the total of which must be completed with 80% accuracy. A certification of completion will be issued for successful completion of the entire training. Successful completion of both parts 1 and part 2 will satisfy the 24 hour requirement for MAT waiver training for advanced practice providers and physician assistants to prescribe buprenorphine for the treatment of opioid use disorders.\\n\\nEstimated time to complete this activity: 9.5 hours\\nRelease date: March 1, 2020\\nUVA Grant Dates: 09/30/2019 – 09/29/2022\\n\\nFunding for this initiative was made possible by a grant from SAMHSA. The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention of trade names, commercial practices, or organizations imply endorsement by the U.S. Government.","well; medication; substance use disorder; abstinence; patient; rescue; principle; methadone; urine; cocaine","Non Specialization","Non Specialization","Non Specialization","Non Specialization","18, 37","None","English","life-sciences","healthcare-management","MbbAvjh5EeqEYQpOQt3ikw","[NULL]"]
["2. Upskill","Patient Care","HPV-Associated Oral and Throat Cancer: What You Need to Know","Icahn School of Medicine at Mount Sinai","Intermediate",4.3,4.67,"https://www.coursera.org/learn/hpv-oral-throat-cancer","Welcome to HPV-Associated Oral and Throat Cancers: What You Need to Know \\n\\nThis course, offered by the Department of Otolaryngology – Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai, is designed to inform primary care physicians and otolaryngologists (general and head and neck surgeons), as well as medical students, residents, nurses, physician assistants, medical assistants, about HPV-associated oral and throat cancers. It is also applicable to individuals who wish to broaden their knowledge and vernacular about this disease process, especially those who may have been diagnosed with HPV and/or HPV-associated oropharyngeal cancers. The course has been divided into four modules, each of which is followed by multiple choice questions to help attendees further understand this condition: \\n\\nWeek 1 - CME Information, Accreditation and Introduction (2 min)\\nWeek 2 - Module 1: HPV-associated Throat Cancer: An Epidemic (11 min. + quiz) \\nWeek 3 - Module 2: HPV Risk Factors and Clinical Presentation (10 min. + quiz) \\nWeek 4 - Module 3: Management of HPV-associated Oropharyngeal Cancer (13 min. + quiz) \\nWeek 5 - Module 4: Prevention, Vaccination, and the Horizon (10 min. + quiz) \\n\\nThe primary objective of this course is to provide physicians with a thorough understanding of how to better diagnose and treat patients who have HPV-related oral and throat cancers. \\n\\nThose participating in this course have the option to receive CME credit. Please review the CME Information and Accreditation prior to proceeding with the course modules. \\n\\nRelease Date: February 4, 2019\\nExpiration Date: February 4, 2021\\nEstimated Time to Complete: 1 hour \\nCME Fee: $30 \\nCME Credits Offered: 1.0 \\n\\nCME Reviewer: Marita S. Teng, MD \\n\\nHow to Receive CME Credit:\\nFor physicians who are interested in earning CME credits and other allied health professions who wish to receive a Verification of Attendance certificate, you must: \\n\\na. Complete Signature Track (details to follow after enrolling in this course) \\n\\nb. Complete registration process through the Icahn School of Medicine at Mount Sinai, CME Office using the following link:\\nhttps://mssm.cloud-cme.com/default.aspx?EID=4177&P=3000&CaseID=78\\n\\n(You will be required to pay an additional non-refundable fee of $30.00 in addition to the $49.00 fee for signature track.)\\n\\nTo obtain your CME/CE certificate: Email an attached copy of your Verified Certificate from Coursera to the CME office at the Icahn School of Medicine at cme@mssm.edu and request your CME certificate. Please make sure the subject line reads: Coursera CME \\n\\nCourse Planners \\nLynette Bobbitt\\nLisa Chase\\nEric M. Genden, MD \\nJill Gregory\\nGale Justin\\nPaul Lawrence\\nCarter Lim\\nErik Popil","oral medicine; dentist; oral cancer; dentistry; Surgery; cancer; health; medicine; vaccine; head and neck cancer","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43835.0,"Arabic","English","life-sciences","basic-science","-Ph0DnwyEeaA7w6yFE2sWQ","[NULL]"]
["2. Upskill","Patient Care","Transgender Medicine for General Medical Providers","Icahn School of Medicine at Mount Sinai","Intermediate",17.1,4.69,"https://www.coursera.org/learn/transgender-medicine","The course is a comprehensive set of didactic lectures surveying fundamentals of transgender medical and surgical treatment.  The material is meant to provide the student with core knowledge that is essential for current primary care providers caring for transgender patients.\\n\\nThere are 10 modules led by the expert clinical faculty from the pioneering Center for Transgender Medicine and Surgery, located within the Mount Sinai Health System and the Icahn School of Medicine at Mount Sinai in New York City.\\n\\nThe course begins with an introduction to frame the sea change that has taken place in the current medical practice of transgender health care. Subsequent modules allow individuals to learn key elements necessary to provide quality transgender medical care. As a whole, the modules provide an opportunity to develop a knowledgeable approach to behavioral health, primary care, hormone therapy, and the surgical options.\\n\\nModule 1: Introduction -  Joshua D Safer\\nModule 2: Making the Determination - Hansel Arroyo\\nModule 3: Primary Care for Transgender Women - Zil Goldstein\\nModule 4: Primary Care for Transgender Men - Zil Goldstein\\nModule 5: What are the Essential Strategies to Transgender Hormone Therapy? -  Joshua D Safer\\nModule 6: Initiation and Maintenance of Hormones for the Trans Masculine Patient - Joshua D Safer\\nModule 7: Initiation and Maintenance of Hormones for the Trans Feminine Patient -Joshua D Safer\\nModule 8: Transgender Surgery: Chest & Face - Bella K Avanessian\\nModule 9: Transmasculine Genital Surgery - Bella K Avanessian\\nModule 10: Transfeminine Genital Surgery - Bella K Avanessian","scrotoplasty; front hole; puberty blocker; medicine; sex steroid; cyproterone; estradiol; health care; progestin; cyproterone acetate","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43947.0,"None","English","life-sciences","patient-care","5DdIPg9xEemZqg5eHRdQSg","[NULL]"]
["2. Upskill","Patient Care","COVID-19 - A clinical update","University of Florida","Intermediate",6.1,4.64,"https://www.coursera.org/learn/covid19clinicalupdate","As an expert in infectious diseases, editor of the Journal of Infectious Diseases and author of the textbook Infectious Diseases: A clinical short course, McGraw-Hill April 2020, I have been concerned about the misinformation being shared about the COVID-19 epidemic. How did this disease develop? Where did it come from? How does it cause diseases?  The answers to these questions will be answered in the first video of module 1. The world has been startled and frightened by the rapid spread of this virus throughout the world. In Video 2  the epidemiology as presently understood is reviewed. This video will be periodically updated recognizing the rapid progression of the pandemic. Many want to know how does this disease present, what are the symptoms associated with COVID-19? How dangerous is COVID-19? Who is at risk of dying? All these questions are answered in Video 3. And finally how is this disease best treated and how can we slow the spread of the infection? These questions are answered in video 4.  In addition to the videos multiple choice questions are included to test your understanding and there is an epidemiology peer reviewed exercise designed to teach you how this infection is spread and to show the power of the tracing of cases and isolating those who are infected. The second peer review exercise will encourage you to create a campaign to shift your countries culture to embrace behaviors that can lead to suppression of the epidemic, behaviors that will save lives. After completing this course you will be armed with the knowledge and skills to make a difference and help to bend the curve.","you aren't gonna need it; epidemics; infectious diseases; infection; insect flight; infection rate","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43897.0,"None","English","life-sciences","patient-care","5WJz2Wn1EeqnYwp_yK2E5Q","[NULL]"]
["2. Upskill","Patient Care","Introduction to Hearing Loss","Icahn School of Medicine at Mount Sinai","[NULL]",3.2,4.69,"https://www.coursera.org/learn/hearing-loss","Welcome to Introduction to Hearing Loss\\n\\nDisorders of the ear range from simple, easily treated entities (such as wax or cerumen impaction) to the highly complex (such as permanent hearing loss).  Many of these disorders manifest with similar symptoms and may be difficult to differentiate without a basic understanding of the anatomy of the ear and auditory pathway. \\n\\nThis course, offered by the Department of Otolaryngology – Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai and New York Eye and Ear Infirmary of Mount Sinai, presents the basic anatomy of the ear from the auricle or outer ear to the brain. The pathophysiology of each type of hearing loss is presented and common pathology in each of the three areas of the ear (outer, middle and inner) are reviewed. Participants will become familiar with the structural and cellular anatomy in each area, as well as the underlying pathophysiology for various disorders. They will also gain an understanding of available treatments for various ear conditions.\\n\\nWeek 1: Introduction\\nWeek 2: Anatomy and pathophysiology of the auditory pathway (15 min. + quiz)\\nWeek 3: Disorders and treatments of the outer ear (15 min. + quiz) \\nWeek 4: Disorders and treatments of the middle ear (15 min. + quiz)\\nWeek 5: Disorders and treatments of the inner ear (15 min. + quiz)\\n\\nThe primary objectives of this course are to:\\n\\n•\\tRecognize the functional and cellular anatomy of the auditory pathway\\n•\\tUnderstand the types of hearing loss and common causes of each type\\n•\\tDemonstrate familiarity with disorders of the outer, middle and inner ear\\n\\nThose participating in this course have the option to complete the course at no cost or receive the Coursera Signature Track Certificate for $49.95. \\n\\nCourse Planners:\\nLisa Chase\\nNi-ka Ford\\nJill Gregory\\nGale Justin \\nPaul Lawrence \\nErik Popil\\nKelly Zerella\\nAmy Zhong\\n\\nTaught By: \\n\\nMaura Cosetti, MD\\n\\nAssistant Professor\\nOtolaryngology - Head and Neck Surgery \\nIcahn School of Medicine at Mount Sinai \\nDirector, Cochlear Implant Program \\nEar Institute at New York Eye and Ear Infirmary of Mount Sinai\\nMount Sinai Health System","sensorineural hearing loss; microtia; conductive hearing loss; tinnitus; acoustics; hearing; cauliflower ear; cochlear implant; hearing loss; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43833.0,"None","English","life-sciences","patient-care","XH7GILLKEei2NBKp5lEkUA","[NULL]"]
["2. Upskill","Patient Care","Voice Disorders: What Patients and Professionals Need to Know","Icahn School of Medicine at Mount Sinai","Intermediate",8.0,4.87,"https://www.coursera.org/learn/voice-disorders","Welcome to Voice Disorders: What Patients and Professionals Need to Know\\n\\nKnowledge regarding vocal production physiology and management options for voice disorders have experienced rapid growth over the past 40 years.  This growth has resulted in a knowledge gap amongst patients and practitioners. Entirely new subspecialties of laryngology under otolaryngology and vocology under speech-language pathology have developed in response to this gap.\\n\\nThis MOOC (Massive Open Online Course) is designed to educated patients, allied healthcare providers, vocal trainers/coaches, general medical practitioners and otolaryngologists.  Participants will be exposed to current concepts on the physiology of voice production.  These physiologic principles will be applied to speaking and performance voice production styles. Building on the knowledge of efficient voice production methods, participants will learn how vocal inefficiencies can lead to the development of voice disorders.  Finally, behavioral, medical and surgical management options and indications will be presented.\\n\\nThe course has been divided into five modules, each of which is followed by multiple choice questions: \\n\\nWeek 1 - CME Information, Accreditation and Introduction (2 min)\\nWeek 2 - Module 1: Basic Anatomy and Physiology of the Speaking and Singing Voice (29 min. + quiz) \\nWeek 3 - Module 2: Applied Physiology (Function) (20 min. + quiz) \\nWeek 4 - Module 3: Changes in Vocal Effort and Quality (20 min. + quiz) \\nWeek 5 - Module 4: Principles of Voice Evaluation and Examination (17 min. + quiz)\\nWeek 6 - Module 5: Medical or Surgical Intervention (33 min. + quiz) \\n\\nThose participating in this course have the option to receive CME credit. Please review the CME Information and Accreditation prior to proceeding with the course modules. \\n\\nRelease Date: November 29, 2017\\nExpiration Date: November 29, 2019\\nEstimated Time to Complete: 3 hours \\nCME Fee: $30 \\nCME Credits Offered: 3.0 \\n\\nCME Reviewer: Marita S. Teng, MD \\n\\nHow to Receive CME Credit:\\nFor physicians who are interested in earning CME credits and other allied health professions who wish to receive a Verification of Attendance certificate, you must: \\n\\na. Complete Signature Track (details to follow after enrolling in this course) \\n\\nb. Complete registration process through the Icahn School of Medicine at Mount Sinai, CME Office using the following link:\\nhttps://mssm.cloud-cme.com/default.aspx?EID=9&P=3000&CaseID=2 (WARNING: This course is no longer available for CME Credit.)\\n\\n(You will be required to pay an additional non-refundable fee of $30.00 in addition to the $49.00 fee for signature track.) \\n\\nTo obtain your CME/CE certificate: Email an attached copy of your Verified Certificate from Coursera to the CME office at the Icahn School of Medicine at cme@mssm.edu and request your CME certificate. Please make sure the subject line reads: Coursera CME \\n\\nCourse Planners \\nLynette Bobbitt\\nMark S. Courey, MD\\nLisa Chase\\nJill Gregory\\nGale Justin\\nPaul Lawrence\\nErik Popil\\nChristopher Smith\\nKelly Zerella\\nAmy Zhong","formant; Speech Language Pathology; language disorders; medicine; communication disorder; laryngology; anatomy; human voice; massage; Music Therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43872.0,"None","English","life-sciences","patient-care","3y7SyUbXEeeMtBKozo_2UA","[NULL]"]
["2. Upskill","Patient Care","PrEParing: PrEP for Providers and Patients","Johns Hopkins University","Advanced",13.0,4.67,"https://www.coursera.org/learn/prep","Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir approved in countries around the world is a highly effective means of reducing transmission of HIV through sexual encounters and needle sharing. \\n\\nThis Johns Hopkins University course PrEPares you with essential information, concepts and practical advice regarding PrEP from leaders in the field. A first of its kind learning opportunity, both providers and patients learn from the same experts through content that meets the needs of both audiences, while facilitating the opportunity for a shared community space.  \\n\\nLessons for healthcare workers provide background on foundational and cutting-edge research and PrEP guidelines, how to initiate a PrEP program, clinical management and providing culturally sensitive sexual health and primary care to diverse communities. \\n\\nLessons for PrEP enthusiasts, PrEP users or the PrEP curious provide information regarding who can benefit from PrEP, how to access services, what to expect and how to stick with your PrEP program long-term.\\n\\nOBJECTIVES:\\n\\nAt the conclusion of the session, the participant will be able to:\\n\\n1.\\tDescribe the differences between foundational PrEP studies and demonstration projects\\n2.\\tDescribe the basic pharmacodynamics of tenofovir/emtricitibine including mechanism of infection prevention and time \\n         to protective concentration in mucosal tissues\\n3.\\tList recommendations from PrEP for Prevention of HIV Infection in the United States clinical practice guidelines, USPHS \\n         and CDC, including initial and ongoing screening and testing\\n4.\\tDescribe the need for PrEP as an HIV prevention tool for priority in often stigmatized populations\\n5.\\tIndicate the components for integrating PrEP services into clinical practice\\n6.\\tOutline guidelines for screening and treatment of sexually transmitted infections \\n7.\\tDescribe how to take a thorough sexual history and to engage with clients around sex in an affirming and non- \\n         judgmental manner\\n8.\\tList the baseline and follow-up laboratory monitoring required \\n9.\\tExplain key aspects of patient education for HIV prevention and sexual health\\n10.\\tDescribe protocols for ongoing PrEP services and when to discontinue\\n\\nFACULTY/ CREDENTIALS:\\n\\nJason E. Farley, PhD, MPH, ANP-BC, FAAN, Associate Professor \\nJohns Hopkins University School of Nursing\\n\\nChris Beyrer, MD, MPH, Professor\\nJohns Hopkins University Bloomberg School of Public Health\\n\\nYusuf Ariyibi, BA, Disease Intervention Specialist\\nBaltimore City Health Department\\n\\nJoyce Jones, MD, MS, Clinical Associate\\nJohns Hopkins University School of Medicine\\n\\nNeha Sheth Pandit, PharmD, AAHIVP, BCPS, Associate Professor\\nUniversity of Maryland School of Pharmacy\\n\\nPierre-Cedric Crouch, PhD, ANP-BC, ACRN, Director of Nursing \\nSan Francisco AIDS Foundation\\n\\nRenata Arrington Sanders, MD, Assistant Professor\\nJohns Hopkins University School of Medicine\\n\\nJenell Coleman, MD, MPH, Associate Professor\\nJohns Hopkins University School of Medicine\\n\\nMichele Decker, ScD, MPH, Associate Professor\\nJohns Hopkins University Bloomberg School of Public Health\\n\\nDeborah Dunn, PA-C, MBA, Physician Assistant\\nChase Brexton Health Care\\n\\nJordan White, MS, Desmond Tutu Fellow of Public Health and Human Rights\\nJohns Hopkins University Bloomberg School of Public Health\\n\\nGregory Lucas, MD, PhD, Professor\\nJohns Hopkins University School of Medicine\\n\\nDemetre Daskalakis, MD, MPH, Acting Deputy Commissioner, Division of Disease Control, NYC Dept. of Health and Mental Hygiene\\n\\nDavid Dowdy, MD, PhD, Associate Professor\\nJohns Hopkins University Bloomberg School of Public Health\\n\\nJessica LaRicci, PrEP Coordinator\\nJohns Hopkins University School of Nursing\\n\\nSusan Tuddenham, MD, MPH, Assistant Professor\\nJohns Hopkins University School of Medicine\\n\\nJoseph Cofrancesco, MD, MPH, FACP, Associate Professor of Medicine\\nJohns Hopkins University School of Medicine\\n\\nJill Crank, CRNP, MSN/MPH, Nurse Practitioner\\nEvergreen Healthcare\\n\\nPaul Sacamano, MPH, ANP-BC, ACRN, PrEP Project Lead\\nJohns Hopkins University School of Nursing\\n\\nShima Ge, BS, PrEP Peer Navigator\\nJohns Hopkins University School of Nursing\\n\\n\\nORIGINATION DATE\\t                     October 02, 2017\\nRENEWAL DATE:\\t\\t\\t\\t     November 30, 2019\\nEXPIRATION DATE:\\t\\t\\t     November 30, 2021\\n\\nURL:                                                              https://www.coursera.org/learn/prep/\\n\\nHARDWARE/SOFTWARE:               Computer Hardware; Internet connection; Browser\\n\\nMATERIALS:                                     None\\n\\nTARGET AUDIENCE:                        physicians, physician assistants, nurse practitioners, registered nurses, pharmacists, health education specialists, public health workers, social workers, case managers\\n\\nPREREQUISITES:                               None\\n\\nFORMAT:                                             These seminars are enduring video presentations with online discussion forum and resources.\\n\\nCONTACT INFORMATION: Office of The REACH Initiative, Johns Hopkins University School of Nursing (888) 788-7737 \\n\\nACCREDITATION STATEMENTS:\\n\\nCME activities with Joint Providers: This activity has been planned and implemented in accordance with the Essential Areas and policies of the Accreditation Council for Continuing Medical Education through the joint providership of the Centers for Disease Control and Prevention and Johns Hopkins University School of Nursing. The Centers for Disease Control and Prevention is accredited by the (ACCME®) to provide medical education for physicians. Physicians should claim only the credit commensurate with the extent of their participation in the activity.\\n\\nThe Centers for Disease Control and Prevention designates this enduring material for a maximum of 10.75 AMA PRA Category 1 Credits™.  \\n\\nCEU:  The Centers for Disease Control and Prevention is authorized by IACET to offer 1.1 CEU's for this program.\\n\\nCECH: Sponsored by the Centers for Disease Control and Prevention, a designated provider of continuing education contact hours (CECH) in health education by the National Commission for Health Education Credentialing, Inc. This program is designated for Certified Health Education Specialists (CHES) and/or Master Certified Health Education Specialists (MCHES) to receive up to 10.5 total Category I continuing education contact hours. Maximum advanced level continuing education contact hours available are 0. CDC provider number 98614.\\n\\n\\n  CPE: The Centers for Disease Control and Prevention is accredited by the Accreditation Council for Pharmacy Education as a provider of continuing pharmacy education.\\n \\nThis program is a designated event for pharmacists to receive 1.05 CEUs in pharmacy education. The Universal Activity Number is 0387-9999-19-191-H01-P.\\n\\nCategory:   This activity has been designated as Knowledge-Based.\\n\\n Once credit is claimed, an unofficial statement of credit is immediately available on TCEOnline.  Official credit will be uploaded within 60 days on the NABP/CPE Monitor.\\n\\nFor Certified Public Health Professionals (CPH)\\nThe Centers for Disease Control and Prevention is a pre-approved provider of Certified in Public Health (CPH) recertification credits and is authorized to offer 11 CPH recertification credits for this program.\\n\\nDISCLOSURE: In compliance with continuing education requirements, all presenters must disclose any financial or other associations with the manufacturers of commercial products, suppliers of commercial services, or commercial supporters as well as any use of unlabeled product(s) or product(s) under investigational use. \\n\\nCDC, our planners, our content experts and their spouses/partners wish to disclose they have no financial interests or other relationships with the manufacturers of commercial products, suppliers of commercial services, or commercial supporters with the exception of Dr. Jason Farley and he wishes to disclose that he received grant from Gilead. Planning committee discussed conflict of interest with Dr. Farley to ensure there is no bias. \\nContent will not include any discussion of the unlabeled use of a product or a product under investigational use with the exception of Dr. Arrington Sander’s discussion of PrEP for adolescents, PrEP is not approved for adolescents < 18 years old; and Dr. Tuddenham’s discussion of STI screening, she will be discussing extra genital screening with NAAT currently recommended by CDC.\\n\\nCDC did not accept commercial support for this continuing education activity.\\n\\nInstructions for Obtaining Continuing Education (CE)\\n\\nIn order to receive continuing education (CE) for WD2928- PrEParing: PrEP for Providers and Patients please visit TCEO and follow these 9 Simple Steps before 11/30/2021  \\n\\nComplete the activity\\nComplete the Evaluation at  https://tceols.cdc.gov/\\nPass the posttest at 80% at https://tceols.cdc.gov/ \\nEmail son-reachinititiative@jhu.edu once the above is cpmpleted for CE\\n\\nFEES: No fees are charged for CDC’s CE activities.","gonorrhea; hiv; medication; infection; hiv/aids; drugs; p-rep; sex; self-advocacy; sexual health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43967.0,"None","English","life-sciences","patient-care","0eRK5qElEeaUxQ4a06yGng","[NULL]"]
["2. Upskill","Patient Care","Acute and Chronic Rhinosinusitis: A Comprehensive Review","Icahn School of Medicine at Mount Sinai","Beginner",2.9,4.72,"https://www.coursera.org/learn/icahn-school-of-medicine-at-mount-sinai-acute-and-chronic-rhinosinusitis","Welcome to Acute and Chronic Rhinosinusitis: A Comprehensive Review\\n\\nThis course, offered by the Department of Otolaryngology – Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai, is designed to inform primary care physicians and general otolaryngologists, as well as nurses, physician assistants and medical assistants, about the differences between acute and chronic rhinosinusitis and how to distinguish and treat them. It is also applicable to individuals who wish to broaden their knowledge and vernacular about this disease process, especially those who may suffer from this condition. The course has been divided into four modules, each of which is followed by multiple choice questions to help attendees further understand this condition: \\n\\nWeek 1 - CME Information, Accreditation and Introduction\\nWeek 2 - Module 1: Normal Sinus Anatomy and Function (15 min. + quiz)\\nWeek 3 - Module 2: Acute Rhinosinusitis: Diagnosis and Treatment (17 min. + quiz)\\nWeek 4 - Module 3: Chronic Rhinoinusitis: Diagnosis and Treatment (18 min. + quiz)\\nWeek 5 - Module 4: The Role of Surgery for Sinusitis and Activity Evaluation (36 min. + 2 quizzes)\\n\\nThe primary objective of this course is to provide physicians with a thorough understanding of how to better diagnose and treat patients who suffer from acute and chronic rhinosinusitis.\\n\\nThose participating in this course have the option to receive CME credit.\\nPlease review the CME Information and Accreditation prior to proceeding with the course modules.\\n\\nRelease Date: January 16, 2018\\nExpiration Date: January 16, 2020\\nEstimated Time to Complete: One Hour and Forty Five Minutes\\nCME Fee: $30.00\\nCME Credits Offered: 1.75\\n\\nCME Reviewer: Marita S. Teng, MD\\n\\nHow to Receive CME Credit:\\nFor physicians who are interested in earning CME credits and other allied health professions who wish to receive a Verification of Attendance certificate, you must:\\n\\na.\\tComplete Signature Track (details to follow after enrolling in this course)\\nb.\\tComplete registration process through the Icahn School of Medicine at Mount Sinai, CME Office using the following link: \\nhttp://bit.ly/Acute_Chronic\\n\\n(You will be required to pay an additional non-refundable fee of $30.00 in addition to the $49.00 fee for signature track.)\\n\\nTo obtain your CME/CE certificate: Email an attached copy of your Verified Certificate from Coursera to the CME office at the Icahn School of Medicine at cme@mssm.edu and request your CME certificate. Please make sure the subject line reads: Coursera CME\\n\\nTechnical Design and Development\\nLynette Bobbitt\\nLisa Chase\\nJill Gregory\\nPaul Lawrence\\nCharles Psarreas\\nRory Sacks","anatomy; chronic rhinosinusitis; Diagnostic Evaluation; Surgery; pharmacy; medicine; acute rhinosinusitis; antibiotics; pharmacology; medical law","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43833.0,"None","English","life-sciences","patient-care","NnouyjuOEeWFSA6UPWxRyQ","[NULL]"]
["2. Upskill","Patient Care","Medical Cannabis for Pain Control","Technion - Israel Institute of Technology","Intermediate",27.5,4.18,"https://www.coursera.org/learn/medical-cannabis-pain-control","Cannabis is a group of flowering plants that has been long used for industrial, recreational and medical purposes. When relating to its medical use, the terms \"Medical Cannabis\" or \"Medical marijuana\" has become prevalent. In this course we will use the term \"Medical Cannabis\". Nowadays, Medical Cannabis involves multiple medical disciplines such as neuroscience, pain, pharmacology, oncology, psychiatry and more. Moreover, it has cultural, agricultural and social, legal and political implications.\\n\\nThis course will give you a solid ground to understand the whole picture.\\n\\nBy completing this course, you will gain a broad understanding and knowledge base related to medical use of cannabis for pain control. You will be exposed to  a wide range of topics such as historical use of cannabis in ancient times, botanic aspects of the plants, and potential benefits and risks associated with its medical use to both individuals and society.","herbalism; pharmacy; medical cannabis; botany; pharmacology; medicine; israel; oncology; veterinary medicine; pain","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13, 41","Spanish; Arabic; Hebrew","English","life-sciences","patient-care","JHx1-P_DEeW_zg6oQWTINQ","[NULL]"]
["2. Upskill","Patient Care","Preventing Chronic Pain: A Human Systems Approach","University of Minnesota","Intermediate",54.5,4.74,"https://www.coursera.org/learn/chronic-pain","Chronic pain is at epidemic levels and has become the highest-cost condition in health care. This course uses evidence-based science with creative and experiential learning to better understand chronic pain conditions and how they can be prevented through self-management in our cognitive, behavioral, physical, emotional, spiritual, social, and environmental realms.\\n\\nThe goal of this course is to blend creative, experiential, and evidence-based teaching strategies to help participants understand chronic pain conditions and how a human systems approach can be applied to self-management strategies to reduce risk factors, enhance protective factors, and prevent chronic pain. There are four major objectives to the course;\\n\\n1. Describe the prevalence, personal impact, and health care dilemma associated with chronic pain.\\n2. Recognize the clinical characteristics and underlying etiology of several common pain conditions and the peripheral, central, and genetic mechanisms of chronic pain\\n3. Based on the literature associated with risk and protective factors in the seven realms of our lives, learn specific strategies in each realm that can be employed daily to prevent chronic pain and enhance wellness.\\n4. Appreciate the value of a human systems approach to health care and how it can provide a basis for integrative, interdisciplinary, and individualized care to preventing pain and enhancing wellness.\\n\\nCONTINUING EDUCATION CREDIT\\nHealth Care Professionals\\nHealth care professionals who participate in this CE activity may submit this certificate statement of participation to their appropriate accrediting organizations or state boards for consideration of credit.  The participant is responsible for determining whether this activity meets the requirements for acceptable continuing education.  Email your Coursera certificate statement of completion to your appropriate organization.","nursing; chronic pain; management; Chronic Pain Management; physical therapy; pain management; pain; fibromyalgia; occupational therapy; nutrition","Non Specialization","Non Specialization","Non Specialization","Non Specialization","30, 70","None","English","life-sciences","patient-care","JLKBSZ4YEeWIkQ6WyNigcw","[NULL]"]
["2. Upskill","Patient Care","Addiction Treatment: Clinical Skills for Healthcare Providers","Yale University","Beginner",11.4,4.85,"https://www.coursera.org/learn/addiction-treatment","This course is designed with a singular goal: to improve the care you provide to your patients with substance use disorders. By delving into a model case performed by actors, seven Yale instructors from various fields provide techniques to screen your patients for substance use disorder risk, diagnose patients to gauge the severity of their use, directly manage treatment plans, refer out to treatment services, and navigate the various conditions that may limit your patient’s access to treatment. You will ultimately be prepared to provide compassionate and evidence-based care to a large population of patients living with addiction— a chronic, often relapsing-remitting disease, but a treatable one.\\n\\nDistribution of this course is made possible through a SAMHSA-funded grant initiative, the Expansion of Interprofessional Healthcare Practitioner SUD Education, which provides a foundational level of evidence-based training in preventing and treating substance use disorders. AAAP is working in collaboration with Yale University, the American College of Academic Addiction Medicine (ACAAM), and a coalition of 37 multidisciplinary healthcare learning institutions across the country to train health professionals including medicine, nursing, physician associate, social work, pharmacy and public health.\\n\\nNote: The content in this course is intended solely to inform and educate medical professionals. This site shall not be used for medical advice and is not a substitute for the advice or treatment of a qualified medical professional.","evaluation; psychosocial; motivational interviewing; medication; addiction; therapy; compassion; Addiction Treatment; patient; substance use disorder","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43966.0,"None","English","life-sciences","patient-care","v-h_bGXXEemPug4qlzPbag","[NULL]"]
["2. Upskill","Patient Care","Service Transformed: Lessons in U.S. Veteran Centered Care","University of Michigan","[NULL]",33.1,3.78,"https://www.coursera.org/learn/va-health-care","Improving health care for veterans has become a matter of national attention and has gained increasing attention from the medical community.  With the current surge of veterans reintegrating into civilian society it is critical to improve the training of the next cadre of providers who will provide care for our veterans.  It is widely known that veterans receive care in all aspects of the health system, thus providers in  veteran focused care facilities, military health serves and civilian locals must be aware of the unique needs of veterans.  It is perhaps even more important to educate civilian providers who may be unfamiliar with the unique physical, mental and emotional needs related to military service.\\n\\nCourse Audience\\n - all health professions learners, example:\\n - medical students, resident physicians, dental students,\\n - nursing students, advanced practice nurses,\\n - social work, pharmacy student as graduate level learners\\n - as well as any and all health professionals interested in veteran-centered care\\n\\nWhat You Will Learn:\\nThis course will provide learners the opportunity to engage with material to facilitate their understanding of the origins of Academic Medical Centers and Veterans Administration affiliations, recognize and manage the influence of bias, class, and power on the clinical encounter and self-reflect on their biases that particularly affect U.S. military veterans.   This course also features several video clips from the acclaimed documentary, Where Soldiers Come From, directed by Heather Courtney.\\n\\n\\nThe views expressed in this course are those of the authors and do not necessarily reflect the position or the policy of the Department of Veterans Affairs or the U.S. government.","Rehabilitation Services; health administration; psychiatric and mental health nursing; doctor patient relationship; Mental Status Examinations; psychiatry; mental status examination; cultural humility; licensed practical nurse; military","Non Specialization","Non Specialization","Non Specialization","Non Specialization","10, 47","None","English","life-sciences","patient-care","Qjj3KjrWEeWO-Qq6rEZAow","[NULL]"]
["2. Upskill","Patient Care","Introduction to Cataract Surgery","University of Michigan","Advanced",14.2,4.81,"https://www.coursera.org/learn/cataract-surgery","This comprehensive course will give you the fundamental knowledge needed to begin performing cataract surgery by phacoemulsification and extracapsular removal.  Each step from preoperative evaluation to postoperative care will be covered to help prepare you for the operating room.","cataract; Surgery; keratometer; centration; fluorescein angiography; balanced salt solution; cyclopentolate; cataract surgery; health; ophthalmology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44061.0,"None","English","life-sciences","patient-care","zcWCXlqYEeWp_Q4LJzeiiQ","[NULL]"]
["2. Upskill","Patient Care","The Basics of Trauma Surgery","Technische Universität München (TUM)","Intermediate",25.9,4.27,"https://www.coursera.org/learn/trauma-surgery-basics","This course imparts a wide range of basic knowledge and skills in the field of trauma surgical and orthopedic treatment of patients. To facilitate this, the course employs a new concept of information transfer. We follow a scientific approach and a sophisticated combination of modern teaching methods to vividly impart the taught contents. This included case-based learning, comprehensive factual knowledge, and consecutive quizzes, which help to better memorize the learned contents and later employ them in everyday situations in the field of trauma surgery.\\n\\nThe course participants are introduced to the multi-faceted field of the treatment of trauma patients. Different trauma mechanism and their sequelae are elucidated, as well as the respective gold standard of medical treatment of these injuries by means of modern trauma surgery. All episodes – of which each one is dedicated to a distinct pathology – follow the same approach:\\n•\\tIntroduction and/or repetition of the anatomic principles\\n•\\tPrelude of the topic by means of a film\\n•\\tClassification of the treated wound, e.g. according to AO\\n•\\tSummary of relevant and current therapeutic options\\n•\\tEach episode is interspersed with short quizzes to immediately recapitulate the learned contents and which will help solving the exam quizzes\\nThe course was compiled by an interdisciplinary team of internationally renowned experts from the special field of orthopedic surgery from Germany. Depending on the respective consultant’s specialization, suitable case scenarios from our clinic are presented.\\n\\nDieser Kurs ist auch in deutscher Sprache verfügbar. Für die ursprüngliche, deutsche Version des Kurses besuchen Sie bitte https://www.coursera.org/learn/unfallchirurgie.","learning; Orthopedics; Surgery; principle; injuries; statistical classification; medical treatments; burn-in; trauma surgery; anatomy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","9, 36","German","English","life-sciences","patient-care","OEDC3vkuEeiBBgreLr0GPA","[NULL]"]
["2. Upskill","Patient Care","Clinical Kidney, Pancreas and Islet Transplantation","Universiteit Leiden","Advanced",15.5,4.7,"https://www.coursera.org/learn/clinical-kidney-transplantation","Kidney transplantation is a major advance of modern medicine which provides high-quality of life for patients with end-stage renal disease. What used to be an experimental, risky, and very limited treatment option more than 50 years ago is now routinely performed in many countries worldwide. The number of renal transplants is expected to rise sharply in the next decade since the proportion of patients with end stage renal disease is increasing. \\n\\nAre you interested in clinical kidney, pancreas and islet transplantation? If you are a (bio) medical student or a health care professional who works in the (pre) clinical transplant field this might be the course for you. This course is also for anyone interested in the research and knowledge on clinical transplantation. The course will be taught by a multidisciplinary team of transplant professionals and will give you the state of the art updates. \\n\\nIt is divided in 4 modules: \\n1) Before the transplant \\n2) The surgical procedures and the challenged patient, including the patient with diabetes \\n3) Early challenges \\n4) Late challenges after transplantation. \\n\\nThe offered modules will include lectures, interactive patient cases, 3D movies, interviews with well-known experts and with patients and a donor, a serious game to increase knowledge of the field and of course an active forum. Become an expert and join us!\\n\\nThe course is endorsed by The European Society of Organ Transplantation (ESOT), The International Society of Nephrology (ISN) and The Transplantation Society (TTS).\\n\\nThis MOOC has been accredited for Continuing Medical Education (CME). Health care professionals who works in the (pre) clinical transplant field, other health care professionals and general practitioners can obtain CME credit at 'LUMC-Boerhaave CME' upon passing the course. For more information we like to refer to the \"Additional introduction for obtaining CME credit\" module in week 1 of the course \\n\\nFor another interesting course on organ donation and transplantation, see Organ Donation: From Death to Life from Cape Town University https://www.coursera.org/learn/organ-donation","nephrology; patient; clinical research; medicine; disease; Surgery; kidney transplantation; immunology; therapy; diabetes","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44092.0,"None","English","life-sciences","patient-care","nUm5Ry-iEeWUWxIOAnoaFQ","[NULL]"]
["2. Upskill","Patient Care","Understanding Prostate Cancer","Johns Hopkins University","Intermediate",9.4,4.73,"https://www.coursera.org/learn/prostate-cancer","Welcome to Understanding Prostate Cancer. My name is Ken Pienta, Professor of Urology and Oncology at the Johns Hopkins School of Medicine. I have been studying prostate cancer and treating patients with prostate cancer for over 25 years.\\nOver 1,000,000 men worldwide and 230,000 men in the United States are diagnosed with prostate cancer every year. Three hundred thousand men worldwide and 30,000 men in the US are dying from prostate cancer every year. As people live longer, the incidence of prostate cancer is rising worldwide and prostate cancer continues to be a major health problem. Thanks to years of dedication and commitment to research we’ve made enormous advances in the treatment of prostate cancer, But there is still a lot of work to be done. In this Understanding Prostate Cancer course, I will provide an introduction to the biology of prostate cancer as well as how it is identified and treated at various stages of the disease. \\n\\nI've put together this course in order to introduce you to the essentials of prostate cancer.\\n\\nBy the time you finish this course you'll be able to\\n\\tDefine risk factors for prostate cancer\\n\\tUnderstand current prostate cancer screening guidelines\\n\\tUnderstand prostate cancer staging\\n\\tUnderstand treatments for localized prostate cancer\\n\\tUnderstand treatments for advanced prostate cancer\\n\\tUnderstand treatments to alleviate the symptoms caused by prostate cancer\\n\\nThis Understanding Prostate Cancer Course should be helpful to anyone who wants to develop a deeper understanding of prostate cancer biology and treatment.  It should be useful to students who are interested in a deeper understanding of the science of cancer. It should also be helpful to health care providers, data managers, and educators who wish to develop a better understanding of prostate cancer and how it affects individuals.  The course is not designed for patients seeking treatment guidance. For those of you who might be thinking about a career in cancer research or patient care, I hope this course will inspire you to pursue that path! The course is divided into five modules organized to facilitate learning.\\n\\nI'm glad that you decided to join this course. I hope that you will develop a basic understanding of prostate cancer. I hope that it will help you in whatever field you work. If you are a student, I hope that what you learn here will help you begin a career in cancer biology research and contribute to the worldwide effort to save lives.","prostate; biology; immunotherapy; oncology; pediatrics; Surgery; cancer; Urology; Cancer Biology; radiation therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43902.0,"Arabic","English","life-sciences","patient-care","pIqvGqhJEeaZwBIdLOcDZg","[NULL]"]
["2. Upskill","Patient Care","Prehospital care of acute stroke and patient selection for endovascular treatment using the RACE scale","Universitat de Barcelona","Intermediate",13.5,4.93,"https://www.coursera.org/learn/acute-stroke-race-scale","Acute stroke is a time-dependent medical emergency. In acute ischemic stroke, the first objective is to restore brain flow using sistemic thrombolytic treatment and, in patients with large vessel occlusion, by endovascular treatment. In hemorrhagic stroke there are also specific treatments that can improve the clinical outcome.\\n\\nThe sooner the initiation of all these therapies the higher the clinical benefit. Thus,  the organization of Stroke Code systems coordinated between emergency medical systems and hospitals is crucial to achieve early medical attention and treament.\\nNeurological scales facilitate stroke recognition at both hospital and pre-hospital levels and provide valuable information of stroke severity. The RACE scale is a prehospital scale validated as a tool to identify patients with suspected large vessel occlusion who are potential candidates for endovascular treatment. \\n\\nThis course aims to update general knowledge in acute stroke and currently available treatments, to review the protocol\\nof the Stroke Code and, finally, to train in the use of the RACE scale.\\n\\nThe target profile of this course is aimed to all health professionals working in the field of emergencies.","thrombolysis; seduction; Medical Sales; anosognosia; thrombectomy; nephrology; neurology; agnosia; Scaling; stroke","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43911.0,"None","English","life-sciences","patient-care","veV8lk3bEei6JRLwwzivrA","[NULL]"]
["2. Upskill","Patient Care","Michigan Sport-Related Concussion Training Certification","University of Michigan","Beginner",1.2,4.8,"https://www.coursera.org/learn/michigan-sport-related-concussion-training-certification","Welcome to the Michigan Sport-Related Concussion Training Certification. In this course, you will learn about five key components of sport-related concussions: identify medical emergencies, debrief the Michigan Youth Concussion Legislature, review rest and rehabilitation principles after a concussion occurs, understand the return to learn and return to school progressions, and finally become knowledgeable of the potential long-term consequences of head impact exposure on brain health. \\n\\nThis course satisfies the state-mandated requirement for concussion training in the state of Michigan. In order to obtain the certificate, you must answer every question on the quiz correctly, which will be available at the end of this course. This course should take you approximately 20 minutes to complete.\\n\\nThe three lead instructors for this course, Dr. Steve Broglio, Dr. Matt Lorincz, and Dr. JT Eckner, are all affiliated with the Michigan Concussion Center, which strives to maximize societal and individual health through the relentless pursuit of concussion knowledge. Dr. Lorincz and Dr. Eckner are also affiliated with Michigan NeuroSport. The goal of Michigan NeuroSport is to inspire and implement solutions for prevention and treatment of sport-related concussions and their potential long-term consequences. \\n\\nNote: If you successfully pass the quiz at the end of this course, you'll still receive an official Michigan Sport-Related Training Certificate, even though a related \"Full Course, No Certificate\" message appears in enrollment. Furthermore, an additional Coursera completion certificate will not be issued.","constant (computer programming); emergency medical services; emergency; health; conditional probability table; awareness; concussion; digital signature; sports; delay-gradient congestion control","Non Specialization","Non Specialization","Non Specialization","Non Specialization","0, 1","None","English","life-sciences","public-health","SRivT8RGEemEfxJ4gLTyBA","[NULL]"]
["2. Upskill","Population Health Management","Population Health: Panel Management Next Level","Universiteit Leiden","Intermediate",8.7,5.0,"https://www.coursera.org/learn/panel-management","How can you, as a healthcare professional, identify patients that share the same risk of an adverse event? How do you transform your healthcare practice in such a way that you are not only able to provide proactive care but you are also able to improve the health of populations at risk?\\nIn this course you will learn how to apply the panel management approach to tackle these questions in order to change from reactive to proactive care. \\n\\nYou will learn how to empanel (patient)groups that share the same risk and how you can allocate the appropriate intervention to each panel of patients. From there you will dive into ways to transform current workflows for optimal in-reach and out-reach care both at the cultural and behavioral change level. As a final step you will learn how to evaluate both effectiveness and process based on the triple aim. This will give you insight into what can be improved in the next panel management cycle. \\n\\nThis course will help you gain an understanding of the panel management approach and enable you to change from reactive to proactive care.\\n\\n This course is part of the Leiden University Master Programme Population Health Management. If you wish to find out more about this programme check-out the course Fundamentals of Population Health Management at: https://www.coursera.org/learn/fundamentals-population-health-management","cyanobacteria; mycorrhiza; Plant Biology; anoxygenic photosynthesis; Transgenic Plants; decomposer; bacteria; Healthcare Management; soil biology; photosynthesis","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43961.0,"None","English","life-sciences","healthcare-management","Gdk1aaVCEeiwURJJwtHeZA","[NULL]"]
["2. Upskill","Population Health Management","Population Health: Fundamentals of Population Health Management","Universiteit Leiden","Advanced",15.5,4.43,"https://www.coursera.org/learn/fundamentals-population-health-management","What are the principles of Population Health Management as a pro-active management approach to improve health and to tackle health disparities? In this course we will discuss the basic principles of Population Health Management that will help you as (future) health care professional or policymaker to analyse current healthcare challenges and to design possible solutions using the Population Health Management Approach.\\n\\nDuring this course you discuss the rationale for the current value transformation in healthcare and Population Health Management as a logic reaction. You will be confronted with the leading frameworks of Population Health Management. You determine the necessary building blocks, including the evaluation and implementation issues.\\n\\nThis Course is part of the to-be-developed Leiden University master program Population Health Management. If you wish to find out more about this program see the last reading of this Course!","public health; reason; determinants of health; precision medicine; population; evaluation; Healthcare Management; clinical epidemiology; dream; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44030.0,"None","English","life-sciences","healthcare-management","SI5ZiG_MEei_DBIyMBLCzg","[NULL]"]
["2. Upskill","Population Health Management","Population Health: Study Design","Universiteit Leiden","Intermediate",15.2,4.36,"https://www.coursera.org/learn/population-health-study-design","Health care professionals increasingly have to make clinical decisions in aging and diverse populations. Also, they have to deal with rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. These developments go beyond every day practice and will require new skills. In this course we will walk you through key steps in designing a research study, from formulating the research question to common pitfalls you might encounter when interpreting your results. We will focus primarily on analytical studies used in etiological research, which aims to investigate the causal relationship between putative risk factors (or determinants) and a given disease or other outcome. However, the principles we will discuss hold true for most research questions, and you will also encounter these study designs in prognostic and diagnostic research settings. \\n\\nThis course is part of a Master's program Population Health Management at Leiden University (currently in development), which includes nine courses on Coursera (including this one). If you are interested in learning more about the Population Health Management approach follow the course \"Population Health: Fundamentals of Population Health Management\" on Coursera.","clinical-study-design; epidemiology; population; bias; learning; art","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.6,19.3]","NA","English","life-sciences","research","SZB6rKVCEeiDLw40mY7PiA"]
["2. Upskill","Psychology","Psychology of Popularity","The University of North Carolina at Chapel Hill","Beginner",11.6,4.61,"https://www.coursera.org/learn/popularity","The level of popularity you experienced in childhood and adolescence is still affecting you today in ways that you may not even realize.  Learn about how psychologists study popularity and how these same concepts can be used in adulthood to be more successful at work, become better parents, and have a happier life.","psychology; human sexuality; popularity; cognitive psychology; Social Psychology; sports; parenting; life coaching; coaching psychology; psychologies","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43995.0,"None","English","life-sciences","psychology","0EqoQy7_EeWPngoW78wA_Q","[NULL]"]
["2. Upskill","Psychology","Introduction to Human Behavioral Genetics","University of Minnesota","Beginner",34.4,4.78,"https://www.coursera.org/learn/behavioralgenetics","Behavioral genetic methodologies from twin and adoption studies through DNA analysis will be described and applied to address longstanding questions about the origins of individual differences in behavioral traits.","psychotherapy; health; genetic counseling; epigenetics; psychology; clinical psychology; psychiatry; psychologies; genetics; mental health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","22, 44","Romanian","English","life-sciences","psychology","EmkjvJ-SEeW_wArffOXkOw","[NULL]"]
["2. Upskill","Psychology","Psychological First Aid","Johns Hopkins University","Beginner",7.5,4.78,"https://www.coursera.org/learn/psychological-first-aid","Learn to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition.\\n\\nUtilizing the RAPID model (Reflective listening, Assessment of needs, Prioritization, Intervention, and Disposition), this specialized course provides perspectives on injuries and trauma that are beyond those physical in nature. The RAPID model is readily applicable to public health settings, the workplace, the military, faith-based organizations, mass disaster venues, and even the demands of more commonplace critical events, e.g., dealing with the psychological aftermath of accidents, robberies, suicide, homicide, or community violence. In addition, the RAPID model has been found effective in promoting personal and community resilience.\\n\\nParticipants will increase their abilities to: \\n - Discuss key concepts related to PFA\\n - Listen reflectively\\n - Differentiate benign, non-incapacitating psychological/ behavioral crisis reactions from more severe, potentially incapacitating, crisis reactions\\n - Prioritize (triage) psychological/ behavioral crisis reactions \\n - Mitigate acute distress and dysfunction, as appropriate \\n - Recognize when to facilitate access to further mental health support \\n - Practice self-care \\n\\nDeveloped in collaboration with Johns Hopkins Open Education Lab.","first aid; psychological first aid; crisis intervention; triage; active listening; crisis; empathy; self-care; listening; reflective listening","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43929.0,"Spanish; Ukrainian; Russian; Greek; Portuguese","English","life-sciences","psychology","hbvvfJLaEeWBSw79YYA_8Q","[NULL]"]
["2. Upskill","Psychology","Social Psychology","Wesleyan University","Advanced",34.5,4.73,"https://www.coursera.org/learn/social-psychology","Ever wonder why people do what they do? This course—which includes more than $1,000 of video and reading materials—offers some answers based on the latest research from social psychology. Students taking the course for a Certificate will also receive free membership in Social Psychology Network (SocialPsychology.org).\\n\\nCOURSE DESCRIPTION FROM PROFESSOR PLOUS:\\n\\nEach of us is dealt a different hand in life, but we all face similar questions when it comes to human behavior: What leads us to like one person and dislike another? How do conflicts and prejudices develop, and how can they be reduced? Can psychological research help protect the environment, and if so, how? This course offers a brief introduction to classic and contemporary social psychology, covering topics such as decision making, persuasion, group behavior, personal attraction, and factors that promote health and well-being.\\n\\nOur focus will be on surprising, entertaining, and intriguing research findings that are easy to apply in daily life. The course will also draw from the websites of Social Psychology Network, the world's largest online community devoted to social psychology. I hope you'll join me for this course, have fun, and learn some useful information that enriches your life.","empathy; persuasion; Child Psychology; compassion; communication; psychologies; social skills; Criminal Justice; Social Psychology; behavioral economics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","23, 40","Chinese; Spanish","English","life-sciences","psychology","qLwmkiOZEeadsBKew8xmjQ","[NULL]"]
["2. Upskill","Psychology: Applied","Moralities of Everyday Life","Yale University","Beginner",28.7,4.82,"https://www.coursera.org/learn/moralities","How can we explain kindness and cruelty? Where does our sense of right and wrong come from? Why do people so often disagree about moral issues? This course explores the psychological foundations of our moral lives.","ethics; psychology; reason; verse protocol; Social Psychology; moral psychology; moral universe; philosophy; psychologies; emotional intelligence","Non Specialization","Non Specialization","Non Specialization","Non Specialization","19, 36","Romanian; Chinese; Spanish","English","life-sciences","psychology","LzAc0DSdEeWgIQ7IEhB31Q","[NULL]"]
["2. Upskill","Psychology: Applied","Genius. Talent. Golden Mediocrity","National Research Tomsk State University","Beginner",24.5,4.14,"https://www.coursera.org/learn/genius","This course is of an applied nature and is oriented to studies in the field of creative life intensification psychology, help with the experience of crises, human potential realization and care. It may be useful for professional psychologists, for specialists whose activity involves empathy, inspiration, understanding and creating of daily life, and for all who are interested in the topic. \\n\\nThe main idea of the course\\nGenius, talent and golden mediocrity are different (perpendicularly oriented) dimensions of human existence. They should be studied coherently with their manifestations. All together they construct a space for creative life, but each taken separately provokes traumatic, devastating and exhausting forms of anxieties. Our course shows how these three dimensions manifest themselves in life and how you can fulfill your genius, abilities, talents more fully and completely.\\n\\nOur Method\\nWe critically examine the manifestations of the studied \"dimensions\" (phenomena), in order that by putting off all \"the supposed\" we could find specific and inherent meaning. The phenomenological method is to understand and express in simple terms the fundamental structure of creative activity, to express everything that was, that is and that will be important in the psychology of creative life.\\n\\nCourse objective\\nOur main objective is a phenomenological description of genius, talent and golden mediocrity as specific dimensions of human life, correction of errors and misapprehensions of common sense regarding these phenomena.\\n\\nWhat you gain\\nAfter taking this course you will know what it is to be genius. You will see the phenomena of mediocrity and talent in a new light. You will understand these phenomena better based on our various examples. You will also be able to practice various aspects of these dimensions of creativity in your daily life.","empathy; psychological trauma; Child Psychology; crisis; anxiety; self-esteem; confidence; mental health; psychology; perversion","Non Specialization","Non Specialization","Non Specialization","Non Specialization","11, 34","None","English","life-sciences","psychology","fdzGmVdFEee91g5WFbHAAA","[NULL]"]
["2. Upskill","Psychology: Applied","Mindware: Critical Thinking for the Information Age","University of Michigan","Beginner",11.8,4.76,"https://www.coursera.org/learn/mindware","Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.\\n\\nWhat kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.","statistics; cost; analysis; bias; logic; cost benefit analysis; cognitive bias; inference; critical thinking; statistical inference","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44025.0,"Ukrainian","English","life-sciences","psychology","2e_l18MBEea6CwrxGAW0VA","[NULL]"]
["2. Upskill","Psychology: Applied","Unethical Decision Making in Organizations","University of Lausanne","Intermediate",14.1,4.84,"https://www.coursera.org/learn/unethical-decision-making","This course 'Unethical decision making in organizations : A seminar on the dark side of the force' will teach you how strong organizational contexts push good people towards unethical decisions. You will also learn how to protect yourself and your organization against such forces lurking in the dark.\\n\\nAbout the Course\\n\\nThis course teaches how narrow frames and strong contexts can push good people towards unethical decisions and how they can protect themselves and their organization against ethical blindness.\\n\\nThe goal of this course is to empower the participants to analyze the risks of unethical or illegal behavior that might be triggered by powerful contexts. It draws from various disciplines such as management, psychology, sociology, philosophy, and literature, in order to learn what these disciplines contribute to a better understanding of unethical behavior. The course also analyzes some of the most prominent organizational scandals of the recent decades through the lenses of these disciplines.\\n\\nWhenever we hear about ethical scandals, we tend to believe that unethical or illegal behaviour in organizations is driven by character deficiencies of individual actors. Put differently, we simply assume that bad things are done by bad people. However, numerous corporate scandals have demonstrated that even people with a high level of integrity can break the rules if they are put into a strong context.\\n\\nA better understanding of why and under what conditions good people make bad ethical decisions will enable us to better protect individuals as well as their respective organizations against the potentially overwhelming power of the context. It will also enable us to cure societies from problems like corruption.\\n\\nAt the end of the course, you are able to:\\n\\n1.    Explain the impact of social context on individual decision making using various theories (from Management, Sociology, Psychology, and Philosophy) \\n2.    Apply these theories to the analysis of some of the most eminent organizational scandals of the recent decades \\n3.    Assess risks of ethical blindness in your own organizational context \\n4.    Design interventions to reduce such risks for yourself and your organization \\n\\n\\nRecommended Background\\n\\nNo background expertise is required. The course is open for interested layperson as well as experts who work on related topics, be it as researchers or practitioners (e.g., compliance managers in corporations).\\n\\nWhy is this course important for me? \\n\\nCurrently, the understanding of why good people make unethical decisions is rather limited, related research is rather fragmented, and the management of such problems in organizations is overly simplistic, legalistic, and inadequate. Understanding contexts, including the dangers of routines, the mindlessness of our daily decisions, and the healing power of mindful decision-making routines is of increasing importance. In this course, you will learn the latest knowledge and the appropriate tool box for dealing with ethical challenges that you will face throughout your life!\\n\\nWhat do I need to follow this course? \\n\\nWe build bridges between various scientific disciplines and will familiarize you with those disciplines smoothly. You need no expertise, just come and share your own real-world experiences about unethical decisions. After all, we are all experts in making decisions—some more ethically, some less ethically—aren’t we?","philosophy of mind; organization development; sociology; authoritarian leadership style; psychology; decision-making; corruption; moral psychology; Social Psychology; ethics","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44029.0,"German","English","life-sciences","psychology","A9Yb1uFoEeWLHw5Kc9wFbw","[NULL]"]
["2. Upskill","Psychology: Child Development","Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives","University of Minnesota","Beginner",26.1,4.78,"https://www.coursera.org/learn/resilience-in-children","How do children overcome hazardous experiences to succeed in life? What can be done to protect young people at risk from trauma, war, disasters, and other adversities? Learn about the importance of fostering resilience in children at risk. \\n\\nDuring this course, participants will: learn how trauma can affect children and the systems they depend on, gain insight into core concepts, research methods and lessons learned in last 50 years of resilience research, learn how research is being applied in the real world through interventions that promote resilience, and engage in discussions with others who are working with children at risk around the world\\n\\nParticipants are welcome to take the MOOC at no cost or to register for a Course Certificate ($49). Those who register and earn a Course Certificate from Coursera also are eligible to sign up for continuing education clock hours through the University of Minnesota. \\n\\nParticipants can earn 10 clock hours of continuing education credit (added cost $99) from the College of Education and Human Development at the University of Minnesota. Go here http://z.umn.edu/1a5q to register for continuing education clock hours for completing this course.","counseling psychology; humanitarian; child; psychological trauma; family resilience; trauma in children; child development; psychological first aid; Child Psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","12, 35","None","English","life-sciences","psychology","RfJ9I6KTEeWM5RIHOLu8Dw","[NULL]"]
["2. Upskill","Psychology: Child Development","Everyday Parenting: The ABCs of Child Rearing","Yale University","Beginner",43.5,4.89,"https://www.coursera.org/learn/everyday-parenting","Everyday Parenting gives you access to a toolkit of behavior-change techniques that will make your typical day in the home easier as you develop the behaviors you would like to see in your child. The lessons provide step-by-step instructions and demonstrations to improve your course of action with both children and adolescents.  Among many techniques, you will learn how even simple modifications to tone of voice and phrasing can lead to more compliance.  The course will also shed light on many parenting misconceptions and ineffective strategies that are routinely used.\\n\\nThe key to the course is practice. It is not enough to know the strategies; you have to do them to reap the rewards. Using the techniques on a temporary basis will lead to permanent change. \\n\\nChances are your parenting is perfectly fine and working the way you would like.  But if you have any frustrations with your child or would like improve your effectiveness in changing your child’s behavior, these videos will be a very useful guide.\\n\\nSubtitles available in Chinese and Spanish.","Child Psychology; management; communication; praise; parent; modeling; psychologies; behavior management; behavior; child","Non Specialization","Non Specialization","Non Specialization","Non Specialization","8, 78","Spanish; Chinese; Greek","English","life-sciences","psychology","pIODBrinEea7HhLAXRS5cg","[NULL]"]
["2. Upskill","Psychology: Child Development","Children Acquiring Literacy Naturally","University of California, Santa Cruz","Beginner",10.8,4.2,"https://www.coursera.org/learn/children-literacy","In this short course you will explore the possibility that children might acquire written language in a way that is similar to how they acquire spoken language—without instruction. You will encounter various aspects of behavioral science and technology that are relevant to this proposition. You will have the opportunity to learn the the perceptual, cognitive, and neurological capacities of children during their first years of life. You will advance your understanding of children and how they learn language. You will also be more attuned to current advances in the technology of human machine interactions, and what these phenomena imply for learning to read at an early age.","Child Psychology; American Sign Language; child development; history; reading (process); phonology; child; phonological awareness; developmental psychology; categorical perception","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43995.0,"None","English","life-sciences","psychology","1IxAHTxmEeWdUgozVKt3nw","[NULL]"]
["2. Upskill","Psychology: Neurolinguistics","Neurolinguistics","Saint Petersburg State University","[NULL]",20.1,4.43,"https://www.coursera.org/learn/neuroling","This course introduces the key principles and goals of modern neurolinguistics. Neurolinguistics is a science that incorporates methods and paradigms of linguistics and neuroscience.\\nThis course discusses the main units and organizational principles of the human nervous system that underlie our language capacity. You will learn about the neurophysiological aspects of first and second language learning, discover clinical research in speech, reading and writing disorders, and also find out about speech disorders accompanying various psychiatric conditions. The course includes information on the history of neurolinguistics, modern techniques and methods of neurolinguistic research, and also provides detailed examples of several recent studies in the field.\\n\\nThe outline of the course\\nModule 1 introduces you to the main ideas and history of neurolinguistics. In this module you will learn how the human brain is organized and which cortical areas provide the basis for our language capacity. It also touches upon neuroevolution and the differences between the human brain and the brains of other mammals.\\nIn Module 2 you will learn about modern methods and techniques of neurolinguistic research, such as EEG, MEG, intracranial EEG, evoked and induced potentials.\\nModule 3 continues the discussion of neurolinguistic research methods, introducing you to the fMRI method. It also provides examples of three recent neurolinguistic studies, detailing every stage: how the experiments were planned and conducted, and how the data was analysed.\\nModule 4 discusses how children learn their first and second languages. It also touches upon the differences in the ways monolinguals and bilinguals process linguistic information.\\nModules 5 and 6 deal with clinical research in neurolinguistics. In Module 5 you will learn about aphasia. We will discuss the underlying causes of this disorder, its main types and different approaches to their classification and assessment. You will also learn about linguistic models based on aphasia data.\\nModule 6 continues the topic of clinical research in neurolinguistics. In this module you will learn about auditory hallucinations in schizophrenia, their causes and treatment. This module also discusses brain asymmetry with regards to language and dichotic listening as a means of studying brain asymmetry.\\nModule 7 is devoted to dyslexia and its comorbidities. This module will introduce you to four different approaches to dyslexia. You will also learn what longitudinal studies can tell us about dyslexia.","child; auditory hallucination; dyslexia; experiment; Bilingual; dichotic listening; aphasias; aphasia; longitudinal study; clinical research","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44189.0,"None","English","life-sciences","psychology","FY70jkzQEeqhUg42vOVQlw","[NULL]"]
["2. Upskill","Public Health","Introduction to Climate Change and Health","Yale University","Intermediate",12.1,4.61,"https://www.coursera.org/learn/introduction-climate-change-health","Climate change is one of the greatest threats to human health in the 21st century. Yet these impacts to health are still not well recognized. Since you can’t change what you don’t understand, this course is designed to equip health and environmental professionals, as well as other changemakers and the public, with critical and usable knowledge to take positive action. The course begins with an introduction to the science of climate change and how climate change affects human health. It takes a deep dive into climate change’s adverse health effects, including those related to extreme heat, waterborne infections, insect-borne diseases, and exposure to storms and floods. Throughout, the theme of health equity is interwoven by pointing to what factors make some populations more vulnerable than others to climate change’s negative health impacts. Finally, the course explains how measures to reduce greenhouse gas emissions can not only limit future climate change but can also generate substantial immediate health “co-benefits” over and above the benefit of reducing climate change.\\n\\nFollowing completion of the course, students will be able to: \\n·       At an introductory level, describe how the climate has changed, explain the role of greenhouse gases in climate change, and describe how the climate is predicted to change in the future. \\n·       Describe how climate change adversely impacts population health, with differing vulnerability across population sub-groups, through direct effects; through ecosystem transformation and degradation; and through the stress it places on political, economic, and social systems. \\n·       Explain how adaptation and mitigation strategies can reduce adverse health impacts of climate change and can generate substantial non-climate health benefits in a just and equitable manner.","ecosystem; communication; disease; environmental health; health; climate change","Climate Change and Health: From Science to Action",1.0,"https://www.coursera.org/specializations/climate-change-and-health","Climate change is arguably the greatest public health threat we face. To address it successfully, health and environmental professionals, advocates, and others need to acquire new skills and a deeper understanding of its challenges and solutions. This specialization is for those who wish to understand the impact of climate change on health and are committed to protecting the health of populations using the knowledge and skills they will acquire.",43966.0,"None","English","life-sciences","public-health","liCcf7k3EemfeQ62MMM5rA","leIz-Lk3EemoSRJT4PdHtg"]
["2. Upskill","Public Health","Climate Adaptation for Human Health","Yale University","Advanced",12.6,4.5,"https://www.coursera.org/learn/climateadaptation","The world’s climate is changing, and among the most significant negative consequences is to human health. While climate change is a global health issue, its health impacts vary across geographies and populations. In this course, you will learn why taking action to plan for and adapt to climate change is necessary for protecting human health, as well as what kinds of actions are most appropriate for a particular location and population. You also will learn tools and strategies to effectively plan for and enact adaptation actions that build resilience to climate change’s negative effects.","project management; project planning; cal ripken's real baseball; project plan; Planning; project; climate change; management; environmental health","Climate Change and Health: From Science to Action",2.0,"https://www.coursera.org/specializations/climate-change-and-health","Climate change is arguably the greatest public health threat we face. To address it successfully, health and environmental professionals, advocates, and others need to acquire new skills and a deeper understanding of its challenges and solutions. This specialization is for those who wish to understand the impact of climate change on health and are committed to protecting the health of populations using the knowledge and skills they will acquire.",43966.0,"None","English","life-sciences","public-health","2xgA3MTsEemJkg4_u7ZkzA","leIz-Lk3EemoSRJT4PdHtg"]
["2. Upskill","Public Health","Communicating Climate Change and Health","Yale University","Intermediate",14.0,4.5,"https://www.coursera.org/learn/climatecommunication","How can you persuasively discuss the negative effects of climate change on human health to motivate change in your community? How do you encourage your friends, family, neighbors and community leaders to take meaningful action to address these impacts? In this course, you will learn to communicate the health-related risks of climate change effectively to the public and policymakers and motivate positive changes in climate-related behaviors. Starting with a review of best practices in health risk communication, the course examines the specific challenges of climate change communication and successful strategies to address these challenges. Throughout the course, you will build a step-by-step plan for developing and delivering a communications campaign.","Climate Policy; denominación de origen; cabeza; climate change; environmental health; edward de bono; minc; communication","Climate Change and Health: From Science to Action",3.0,"https://www.coursera.org/specializations/climate-change-and-health","Climate change is arguably the greatest public health threat we face. To address it successfully, health and environmental professionals, advocates, and others need to acquire new skills and a deeper understanding of its challenges and solutions. This specialization is for those who wish to understand the impact of climate change on health and are committed to protecting the health of populations using the knowledge and skills they will acquire.",44030.0,"None","English","life-sciences","public-health","8cQkRsTsEemINRKeR0gxNA","leIz-Lk3EemoSRJT4PdHtg"]
["2. Upskill","Public Health","Foundations of Public Health Practice: The Public Health Approach","Imperial College London","Beginner",16.2,4.64,"https://www.coursera.org/learn/foundations-public-health-approach","The Public Health Approach course is the first instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over four modules (intended for four weeks of learning), learners will become familiar with the scope, origins, ethics, principles and paradigms of public health practice. But there is also important foundational content for those coming from more experienced practitioner backgrounds. The 'Public Health Approach' is a phrase that is used widely to describe an up-stream, preventive, values-driven and evidence-based approach to improving population health. By the end of this course, learners will be confident with identifying and describing a wide range of public health challenges using the language and reference points of the public health profession.\\n\\nThe subsequent courses require the knowledge from this course, as learners will be introduced to the public health toolkit of health needs assessment and evaluation, before taking deeper dives into behaviour change and health protection.","public health; health policy; health psychology; key clustering; cancer; branching factor; health; college; medicine; microbiology","Foundations of Public Health Practice",1.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.",44093.0,"None","English","life-sciences","public-health","7DWhFqCcEeiHSwpu2LKX4A","69PSN6CcEeiN7hKle_8b6g"]
["2. Upskill","Public Health","Foundations of Public Health Practice: The Public Health Toolkit","Imperial College London","Beginner",16.9,4.33,"https://www.coursera.org/learn/the-public-health-toolkit","The Foundations of Public Health Practice: The Public Health Toolkit builds on public health thinking (introduced in the previous course) and introduces a variety of core public health approaches (the toolkit) to conceptualising problems, conducting analysis and bringing forward recommendations. In this course we cover health needs assessment, evaluation and public health intelligence-approaches.","cancer; public health; medicine; Needs Assessment","Foundations of Public Health Practice",2.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.",44063.0,"None","English","life-sciences","public-health","BBAJbKEtEeiOvQ5N8TRolA","69PSN6CcEeiN7hKle_8b6g"]
["2. Upskill","Public Health","Foundations of Public Health Practice: Behaviour & Behaviour Change","Imperial College London","Beginner",11.4,5.0,"https://www.coursera.org/learn/behaviour-change-in-public-health","The Health Protection course is the third instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over three modules (intended for three weeks of learning), learners will become familiar with the scope, theory and implementation of behaviour change in the context of public health practice. The course begins by challenging learners about their preconceptions about healthy and unhealthy behaviour - seeking to contextualise these ideas within the broader public health approach (the first course of this specialisation). The course thereafter swiftly covers the origins of risk communication and behaviour change through the lens of health psychology and classical economics, before introducing ideas of bounded rationality and the genesis of behavioural insights and so-called Nudges. By the end of the course, learners will be fluent with their use of the Behaviour Change Wheel methodology of intervention development and the application of the COM-B framework to a range of target behaviours and behavioural barriers.\\n\\nThe subsequent courses of this specialisation will cover health protection before moving into the final (degree learner) course which where learners will focus on developing the core professional skillset that defines public health practitioners - whether in service or academia.","health belief model; college; principle; health psychology; psychology; one health; methodology; public health; social cognitive theory; analysis","Foundations of Public Health Practice",3.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.",43962.0,"None","English","life-sciences","public-health","1cNkxqEuEeieCw6u0CYq5g","69PSN6CcEeiN7hKle_8b6g"]
["2. Upskill","Public Health","Foundations of Public Health Practice: Health Protection","Imperial College London","Beginner",7.8,5.0,"https://www.coursera.org/learn/health-protection","The Health Protection course is the fourth instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over three modules (intended for three weeks of learning), learners will become familiar with the scope, principles and nuances of health protection in the context of public health practice. Beginning with the basics of Water, Sanitation and Health (WASH) based interventions, the course will introduce learners to the science and principles of practical microbiology, before examining vaccines, incident management and the threat posed by a wide range of manmade and natural environmental threats. By the end of this course, learners will be familiar and conversant with core health protection principles and approaches, and confident in discussing health protection issues when they move into practice.","causality; breast implant; bariatric surgery; cath lab; public health; biocompatibility; microbiology; complete dentures; cancer; bacteria","Foundations of Public Health Practice",4.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.",43930.0,"None","English","life-sciences","public-health","OwkjCa-wEem5JxJyvVjVag","69PSN6CcEeiN7hKle_8b6g"]
["2. Upskill","Public Health","Epidemics - the Dynamics of Infectious Diseases","The Pennsylvania State University","Advanced",21.2,4.7,"https://www.coursera.org/learn/epidemics","Not so long ago, it was almost guaranteed that you would die of an infectious disease. In fact, had you been born just 150 years ago, your chances of dying of an infectious disease before you've reached the tender age of 5 would have been extremely high. \\n \\nSince then, science has come a long way in understanding infectious diseases - what they are, how they spread, and how they can be prevented. But diseases like HIV/AIDS, Malaria, Tuberculosis, or the flu are still major killers worldwide, and novel emerging diseases are a constant threat to public health. In addition, the bugs are evolving. Antibiotics, our most potent weapon against bacterial infections, are losing their power because the bacteria are becoming resistant. In this course, we'll explore the major themes of infectious diseases dynamics.\\n\\nAfter we’ve covered the basics, we'll be looking at the dynamics of the flu, and why we're worried about flu pandemics. We'll be looking at the dynamics of childhood diseases such as measles and whooping cough, which were once considered almost eradicated, but are now making a comeback. We'll explore Malaria, and use it as a case study of the evolution of drug resistance. We'll even be looking at social networks - how diseases can spread from you to your friends to your friends' friends, and so on. And of course we’ll be talking about vaccination too. We’ll also be talking about how mobile phones, social media and crowdsourcing are revolutionizing disease surveillance, giving rise to a new field of digital epidemiology. And yes, we will be talking about Zombies - not human zombies, but zombie ants whose brains are hijacked by an infectious fungus. \\n\\nWe're looking forward to having you join us for an exciting course!","epidemic; evolution; pandemics; epidemics; disease; infectious diseases; vaccine; public health; epidemiology; pandemic","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44190.0,"Russian; Spanish","English","life-sciences","basic-science","SAZf_ay2EeS5uiIACk-Zyg","[NULL]"]
["2. Upskill","Public Health","Systems Thinking In Public Health","Johns Hopkins University","Intermediate",11.7,4.64,"https://www.coursera.org/learn/systems-thinking","This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems  thinking is a core skill in public health and helps health policymakers build programs and policies that are aware of and prepared for unintended consequences.\\n\\nAn important part of systems thinking is the practice to integrate multiple perspectives and synthesize them into a framework or model that can describe and predict the various ways in which a system might react to policy change. Systems thinking and systems models devise strategies to account for real world complexities.\\n\\n\\nThis work was coordinated by the Alliance for Health Policy and Systems Research, the World Health Organization, with the aid of a grant from the International Development Research Centre, Ottawa, Canada. Additional support was provided by the Department for International Development (DFID) through a grant (PO5467) to Future Health Systems research consortium.\\n\\n© World Health Organization 2014\\nAll rights reserved. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization be liable for damages arising from its use. Johns Hopkins University Bloomberg School of Public Health has a non-exclusive license to use and reproduce the material.","flow-network; stock; systems-thinking; system-dynamics; thought; stock-and-flow; causality; modeling; vensim; public-health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.6,13.8]","NA","English","life-sciences","public-health","svzDI2FSEeW6DxKCi866Kw"]
["2. Upskill","Public Health","The People, Power, and Pride of Public Health","Johns Hopkins University","Intermediate",3.7,4.69,"https://www.coursera.org/learn/public-health","The People, Power, and Pride of Public Health provides an engaging overview of the incredible accomplishments and promise of the public health field.  The first module includes interviews with legendary public health figures whose work led to millions of lives saved with vaccines, air bags and car seats, and the federal Women Infants and Children (WIC) nutrition program.  The second module brings key public health tools to life -- including use of data, communications, and policy - through discussions with experienced professionals who have used these tools to save lives.  The third module includes a \"Carpool Karaoke\"-style trip through Baltimore County, Maryland with NACCHO President Dr. Umair Shah to see and hear real public health workers talking about how they serve their communities.  \\nLearners will come away from this course with a deeper understanding of the public health field and a greater enthusiasm for their own work in public health. \\nPreview the course on YouTube: goo.gl/RXKbUr","empathy; knowledge-acquisition; stewardship; mergers-and-acquisitions; preparedness; average; public-health; critical-thinking; communication; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.9,3.9]","NA","English","life-sciences","public-health","zG8xMEYmEeeMtBKozo_2UA"]
["2. Upskill","Public Health","Disease Screening in Public Health","University of Geneva","Advanced",21.9,4.28,"https://www.coursera.org/learn/screening","Current and future public health is characterized by the increase of chronic and degenerative diseases, corresponding to the worldwide ageing of the population. The increasing prevalence of these conditions together with the long incubation period of the chronic diseases and the continual technological innovations, offer new opportunities to develop strategies for early diagnosis.\\n\\nPublic Health has an important mandate to critically assess the promises and the pitfalls of disease screening strategies. This MOOC will help you understand important concepts for screening programs that will be explored through a series of examples that are the most relevant to public health today.  We will conclude with expert interviews that explore future topics that will be important for screening.\\n\\nBy the end of this MOOC, students should have the  competency needed to be involved in the scientific field of screening, and understand the public health perspective in screening programs.\\n\\nThis MOOC has been designed by the University of Geneva and the University of Lausanne. \\nThis MOOC has been prepared under the auspices of the Ecole romande de santé publique (www.ersp.ch) by Prof. Fred Paccaud, MD, MSc, Head of the Institute of Social and Preventive Medicine in Lausanne (www.iumsp.ch), in collaboration with Professor Antoine Flahault, MD, PhD, head of the Institute of Global Health, Geneva (https://www.unige.ch/medecine/isg/en/) and Prof. Gillian Bartlett-Esquilant (McGill University, Quebec/ Institute of Social and Preventive Medicine, Lausanne).","non-communicable-disease; epidemiology; cancer; planning; evaluation; mental-health; disease; pregnancy; prevalence; public-health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.2,30.1]","NA","English","life-sciences","public-health","1cjJ8SGJEeWa6hIFcmm3AQ"]
["2. Upskill","Public Health","Epidemics","The University of Hong Kong","Intermediate",104.8,4.77,"https://www.coursera.org/learn/hkuepidemics","“If history is our guide, we can assume that the battle between the intellect and will of the human species and the extraordinary adaptability of microbes will be never-ending.” (1)\\n\\nDespite all the remarkable technological breakthroughs that we have made over the past few decades, the threat from infectious diseases has significantly accelerated. In this course, we will learn why this is the case by looking at the fundamental scientific principles underlying epidemics and the public health actions behind their prevention and control in the 21st century.\\n\\nThis course covers the following four topics:\\n\\n1. Origins of novel pathogens;\\n2. Analysis of the spread of infectious diseases;\\n3. Medical and public health countermeasures to prevent and control epidemics;\\n4. Panel discussions involving leading public health experts with deep frontline experiences to share their views on risk communication, crisis management, ethics and public trust in the context of infectious disease control. \\n\\nIn addition to the original introductory sessions on epidemics, we revamped the course by adding:\\n- new panel discussions with world-leading experts; and\\n- supplementary modules on next generation informatics for combating epidemics.\\n\\n--------------------------------------------------------\\n(1) Fauci AS, Touchette NA, Folkers GK. Emerging Infectious Diseases: a 10-Year Perspective from the National Institute of Allergy and Infectious Diseases. Emerg Infect Dis 2005 Apr; 11(4):519-25.\\n\\nWhat you'll learn\\n- Demonstrate knowledge of the origins, spread and control of infectious disease epidemics\\n- Demonstrate understanding of the importance of effective communication about epidemics\\n- Demonstrate understanding of key contemporary issues relating to epidemics from a global perspective","vaccines; infectious-diseases; epidemic; null-character; epidemics; english-language; disease-surveillance; epidemiology; disease-control; disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[24.6,194.2]","Chinese","English","life-sciences","public-health","yrhPmHMHEeWKsgrp3VnvAw"]
["2. Upskill","Public Health","Sustainable Tourism – promoting environmental public health","University of Copenhagen","Beginner",21.2,4.58,"https://www.coursera.org/learn/sustainable-tourism","The MOOC introduces learners to key environmental health and natural resources management challenges associated with the rapid growth in international tourist arrivals into low-income countries. Since infrastructural and regulatory capacities in such countries are often limited they are more exposed to the negative implications of such development. The MOOC will present experiences and potential avenues to develop a more sustainable form of tourism.\\n\\nThe Course particularly focuses on the problems and potentials of tourism development in small island states in tropical and sub-tropical settings and highlights the challenges of such development on vulnerable ecosystems. It also highlights how tourism development in Zanzibar results in increased pressure on its marine environment, solid waste management, water resources and control of mosquitoes.  These factors will be used as tracers of impacts and areas for future improvement towards a more sustainable form of tourism.\\n\\nThe Course topics also relate to a number of targets under the global Sustainable Development Goals connected especially to Goals 3: “good health and well-being”, 6: “clean water and sanitation”, 14: “life below water” and 17: “partnerships”.  Thus, the Course is a continuation of the efforts and discussions raised as part of the 2017 international year of sustainable tourism. \\n\\nA diversity of perspectives and areas of expertise will be presented by researchers from the University of Copenhagen, State University of Zanzibar, representatives from the hotel sector and international experts in specific areas of sustainable tourism.","septic tank; hospitality management studies; hospitality management; Hotel Management; ecology; public administration; ecotourism; hotel; sustainable tourism; sustainability","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44012.0,"Danish","English","life-sciences","basic-science","6tpNmPH7Eeea0w7yiCQp4g","[NULL]"]
["2. Upskill","Public Health","Lecture Series for Preventing and Controlling COVID-19","Xi'an Jiaotong University","Beginner",27.2,3.71,"https://www.coursera.org/learn/covid-19lectureseries","In December 2019, a cluster of patients with pneumonia of unknown cause appeared in Wuhan, Hubei. Governments at all levels and Department of Health Administration highly valued and rapidly organized the centers for Disease Control and Prevention (CDC), medical institutions, and scientific research academies to conduct a survey, rescue, and collaborative research. This new antigen was quickly identified as a novel coronavirus, named as 2019-nCoV by World Health Organization (WHO). Meanwhile, the pneumonia caused by it was named as novel coronavirus pneumonia. Implementing the decisions by the CPC Central Committee and State Council with Xi at the core, the whole country took comprehensive actions in social mobilization and deployment, taking epidemic control a most important work in the immediate future. The spread of the epidemic has been effectively controlled. However, novel coronavirus has spread to the whole world thereafter, so it called for closer international cooperation in epidemic prevention and control. Based on this situation, it was urgent to set a new MOOC program about COVID-19 and impart scientific knowledge of the disease to foreign students, undergraduate students, and all the other common people abroad, laying a solid foundation for the triumph of the war against COVID-19.\\nThe novel coronavirus is a new strain of coronavirus that had never been found in humans before. This huge family already known can cause cold or Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS) and other severe diseases. The main signs and symptoms of the infected people include respiratory symptoms, fever, dry cough, shortness of breath, and dyspnea, etc. In severe and critical cases, there will appear pneumonia, severe acute respiratory syndrome, kidney failure, and even death. The two-month war against COVID-19 has helped us accumulate loads of experience in disease prevention, control, diagnosis, and treatment, which can be shared with the whole world as a reference.\\nIn front of the need of our students and common people on COVID-19 prevention knowledge, the Health Science Center of Xi’an Jiaotong University has organized related experts to issue the English lectures of the epidemic prevention and control for people at home and abroad and international community. The contents are mainly about “Introduction,Diagnose,therapeutic Strategy and Prevention for COVID-19”. Through this course, we sincerely hope all our students and the common peoples of the world have scientific knowledge of COVID-19 and increased self-protection awareness, improving international community’s capacity for the prevention and control of COVID-19. We should work in great unity, take science-based and targeted measures against the epidemic, and have confidence in conquering the virus.","data literacy; public health; statistical literacy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","10, 37","Spanish; French; Portuguese","English","life-sciences","public-health","54qc2mwXEeqZGA6nG5ejfQ","[NULL]"]
["2. Upskill","Public Health","Cancer Prevention Web-Based Activity","University of Virginia","Beginner",1.8,5.0,"https://www.coursera.org/learn/prevent-cancer","This web-based video course focuses on the importance of prevention and risk reduction in decreasing cancer occurrences. All learners will need to watch the video modules, read associated articles, and achieve a passing score of 80% on quizzes in order to complete the course. After completing the course, learners will receive a link to claim continuing medical and nursing education credit. \\n\\nDESCRIPTION\\nNext Generation Choices Foundation (NGCF or Less Cancer), lesscancer.org, in conjunction with the University of Virginia and American University, promotes a prevention paradigm for addressing the alarming trend of increasing cancer incidences and raises awareness of cancer prevention to make risk reduction and prevention a vital part of the cancer paradigm for all people. This is a departure from previous treatment-focused approaches that talked about beating, conquering, or curing cancer. Many cancers are preventable by reducing risk factors, such as PFAS and lead corrosion in water supply and infrastructure, use of tobacco products, ultraviolet light exposure, asbestos exposure, specific contaminants and pollution sources, disparities and inequities, and promoting healthy lifestyle choices, such as diet, exercise, and nutrition.\\n\\nVisit the FAQs below for important information regarding 1) Activity faculty and their credentials; 2) Accreditation and Credit Designation statements; 3) Commercial support disclosure statement; 4) Disclosure of financial relationships for every person in control of activity content and their role in the activity; 5) Date of original release and Termination or expiration date.","bernoulli sampling; Core Sampling; cross-sectional data; cancer; nutrition; correct sampling; coverage error; employee surveys; effect size; accident analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","0, 1","None","English","life-sciences","public-health","8CKEDjk-Eem-hhKIuXa3mg","[NULL]"]
["2. Upskill","Public Health","Public Health in Humanitarian Crises 2","Johns Hopkins University","Beginner",17.7,4.9,"https://www.coursera.org/learn/humanitarian-public-health-2","This course, Public Health in Humanitarian Crises 2, addresses public health issues of people affected by disasters, both natural  or conflict-related. It discusses the many changes that occur in people’s lives when they are uprooted by a disaster, including many important topics related to humanitarian crises, such as when there is an epidemic a public health emergency; what do we mean with the humanitarian development nexus; what are the basics of disaster epidemiology and surveillance; humanitarian principles; and other very relevant topics. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. \\n\\nThis course is a follow-up to Public Health in Humanitarian Crises 1, which dealt with changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, and other issues. \\n\\nThe course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught be instructors and guest lecturers who together have over 200 years of experience in this field. The course consists of 10 modules totaling approximately 14-16 hours of delivered content with an additional 2-3 hours of self-work (quizzes and writing and evaluating a short peer-review assignment) as well as lively discussions forums. The first course, Public Health in Humanitarian Crises 1 (PHHC1), has been designed in a way that each module builds on the lessons of previous modules. However, the modules from this second course, Public Health in Humanitarian Crises 2 (PHHC2) can be accessed in any order and some can stand alone. You do not necessarily need to do PHHC1 before PHHC2, but it might be helpful to take some or all of PHHC1, as some of the basic or fundamental issues are covered in this course. PHHC2 contains a somewhat more diverse set of topics than the previous course as it deals with more complicated issues.\\n\\nYou do not have to pay for this course if you choose to enroll without a certificate. Sometimes referred to as auditing, enrolling without a certificate means that you will have access to all of the videos and discussions. The only difference is that you will not be able to take the quizzes to earn a certificate upon completion. Click the Audit or Enroll Without A Certificate link to sign up and begin the course. Visit the Learner Help Center for more details about your enrollment options.","crisis; disaster; epidemiology; infant feeding; pandemic; crisis management; political science; crisis communication; health; infant formula","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44156.0,"None","English","life-sciences","public-health","lCrpEDYEEemx5A7WF2rvOA","[NULL]"]
["2. Upskill","Public Health","Infection Prevention in Nursing Homes","The University of North Carolina at Chapel Hill","Beginner",9.4,4.76,"https://www.coursera.org/learn/infection-prevention","Learn about the role of environment in disease transmission and how to implement standard and transmission-based precautions to prevent the spread of antibiotic resistant bacteria and other infections in your facility.","infection control; nursing homes; nursing; insulin pen; prevention; disinfectant; colonization resistance; infection; cleaning; leukocyte esterase","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43932.0,"None","English","life-sciences","public-health","m4gpU445EeWq-BKQI4jyyw","[NULL]"]
["2. Upskill","Public Health","Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers","University of Michigan","Beginner",13.1,4.83,"https://www.coursera.org/learn/opioid","This course will empower non-prescribing providers to directly impact the ongoing opioid crisis in the United States through increased knowledge and tools that will transform practice and policies. The course will inform you about the opioid epidemic and provide information and research about evidence-based strategies that are focused on prevention, intervention, education, or policy.\\n\\nThis open learning course is designed primarily for non-prescribing healthcare, behavioral health, dental and social services professionals, as well as graduate-level students in these fields. Other individuals may also benefit from this course such as educators and physicians. Continuing Education (CE) for licensure is available upon successful completion of course content.\\n\\nAs a learner, you have the ability to select any or all of the modules and topics that interest you. You can complete the course in a linear or non-linear structure according to your preferred viewing order. This course is taught by experts in the field of opioid prevention, intervention, treatment, and policy. Through lectures, panels and interviews, knowledge checks and quizzes, and additional readings and activities, you can explore topics that are most relevant to your work or practice.\\n\\nThe course was developed by three University of Michigan programs, including the Institute for Healthcare Policy and Innovation (IHPI), Michigan-Opioid Prescribing Engagement Network (Michigan OPEN) and the CDC-funded University of Michigan Injury Prevention Center.\\n\\nThe course consists of 6 “lessons” or modules of varying length, for a total commitment of about 15 hours. This translates to 15 CME and Michigan Social work continuing education credits, and 13 Michigan Pharmacy continuing education credits.\\n\\nThe University of Michigan Medical School designates this enduring material for a maximum of 15 AMA PRA Category 1 Credit(s)™. The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.\\n\\nThis activity contributes to the CME component of the American Board of Anesthesiology’s redesigned Maintenance of Certification in Anesthesiology™ (MOCA®) program, known as MOCA 2.0®. Please consult the ABA website, www.theABA.org, for a list of all MOCA 2.0 requirements.\\n\\nThis course is approved by the Michigan Board of Pharmacy-Approval #539190044. This approval statement is for University of Michigan Institute for Healthcare Policy & Innovation. The Michigan Board of Pharmacy designates this enduring material for a maximum of 13 Continuing Education (CE) Hours. Pharmacists should claim only the credit commensurate with the extent of their participation in the activity.\\n\\nIf you would like to earn CME/MOCA credit for participating in this course, please review the information here (https://ww2.highmarksce.com/micme/index.cfm?do=ev.viewEnduring&attendeeID=-1&eventID=20138) prior to beginning the activity.\\n\\nThis course is approved by the Michigan Social Work Continuing Education Collaborative-Approval #101619-02 for 15 CE hours. The Collaborative is the approving body for the Michigan Board of Social Work.","Camera Operation; anesthesiology; social work; pharmacy; Addiction Treatment; camera trap; 360-degree video; health policy; aerial perspective; mental health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44028.0,"None","English","life-sciences","public-health","F7l8R9o-EemB2xKKBQh-MA","[NULL]"]
["2. Upskill","Public Health","Systems Science and Obesity","Johns Hopkins University","Intermediate",15.3,4.66,"https://www.coursera.org/learn/systems-science-obesity","Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis.   However, it is just beginning to impact public health.   This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo).   The central organizing idea of the course is to examine the obesity epidemic at a population level as an emergent properties of complex, nested systems, with attention to feedback processes, multilevel interactions, and the phenomenon of emergence.   While the emphasis will be on obesity, the goal will be to explore ways in which the systems approach can be applied to other non-communicable diseases both nationally and internationally.  \\n \\nTopics will include:\\na) the epidemiology of obesity across time and place,\\nb) theories to explain population obesity,\\nc) the role of environments and economic resources in obesity\\nc) basic concepts and tools of systems science,\\nd) modeling energy-balance related behaviors in context,\\ne) agent-based models, systems dynamic models, and social network models","nutritionist; health economics; agent-based model; dietetics; obesity; medicine; food science; nutrition; physical education; netlogo","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44061.0,"None","English","life-sciences","public-health","UIi0kNpgEeWP9RIK11q74w","[NULL]"]
["2. Upskill","Public Health","Opioid Epidemic: From Evidence to Impact","Johns Hopkins University","Beginner",18.3,4.2,"https://www.coursera.org/learn/opioid-epidemic","While prescription opioids serve an invaluable role for the treatment of cancer pain and pain at the end of life, their overuse for acute and chronic non-cancer pain as well as the increasing availability of heroin and illicit fentanyl, have contributed to the highest rates of overdose and opioid addiction in U.S. history. Evidence-informed solutions are urgently needed to address these issues and to promote high-quality care for those with pain. This course and the report it is based on are a response to that need. They offer timely information and a path forward for all who are committed to addressing injuries and deaths associated with opioids in the United States.","harm reduction; .hiv; carfentanil; substance use disorder; addiction; lambda calculus; language; insite; education; hiv","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44066.0,"None","English","life-sciences","public-health","rP3sfbjQEee3pwoql1lO6A","[NULL]"]
["2. Upskill","Public Health","Health and healthcare in transition: dilemmas of governance","National Research Tomsk State University","Beginner",26.4,5.0,"https://www.coursera.org/learn/health-dilemmas-of-governance","Our societies are changing. On one hand, unprecedented socio-demographic changes are underway: albeit unevenly across various settings, life expectancy continues to rise globally, facilitating the rise of numbers of people living with one or more chronic diseases. On the other hand, societies are undergoing major political transformations as well. Examples include the massive transition away from communism resulting from the dissolution of USSR and rise of participation societies in the EU, to name just a few.\\n\\nIn this shifting environment, the issue of health becomes particularly difficult to deal with. Current approaches to governing processes and structures that define people’s health often fall short in responding to the changing health needs of the populations and in being adequate to shifting societal conditions. How to ensure and improve the health of citizens in times of societal transitions? This course invites learners to explore this question using examples from multiple settings.\\n\\nAim\\nThis course aims to equip learners with the knowledge and skills needed to assess, develop, and implement options for health policies, programs and services in ways that are responsive to changing population health needs and to societal contexts; and to provide learners with analytical insights into the interconnections between societal transformations, health, and governance to facilitate the development of more responsive and contextually adequate health and health governance approaches.\\n\\nAfter completion of this course you will be able to:\\n1.\\tRecognize dilemmas in the governance of health and healthcare and the origins of these dilemmas\\n2.\\tTo be aware of different approaches in governance of health and healthcare; identify the trade-offs in these approaches for particular cases \\n3.\\tRecognize actors and structures pertaining to the governance of health and healthcare on different levels  \\n4.\\tIdentify problems in policies, programs, structures, and practices pertaining to the governance of health and healthcare in specific settings\\n5.\\tFormulate and justify combinations in approaches to health and health governance suitable to various applications in specific settings \\n\\nThis course was developed by a consortium of five universities: Maastricht University, National Research Tomsk State University, National University of \"Kyiv-Mohyla Academy\",  National Pirogov Memorial Medical University, Vinnytsya, and Siberian State Medical University within the framework of BIHSENA project. BIHSENA stands for “Bridging Innovations, Health and Societies: Educational capacity building in the Eastern European Neighbouring Areas”. BIHSENA project has been funded with support from the European Commission. This course reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.","Adult Education; adult learner; achievement orientation; interstitial cystitis; communitarianism; calculus one; patientslikeme; Audit Experience; health; Choosing Advisors","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44123.0,"None","English","life-sciences","public-health","LBHNsmi6EeihFRJWlk3SfA","[NULL]"]
["2. Upskill","Public Health","Unravelling solutions for Future Food problems","Utrecht University","Beginner",12.8,4.63,"https://www.coursera.org/learn/solutions-future-food-problem","Our society depends on the availability of food and accessibility to it. According to the United Nations nearly 800 million people are hungry and on the other hand, over 650 million people are obese.  While many people in developing countries experience food shortage, in industrialized countries people are throwing food away.\\n\\nThese facts show how paradoxical and complex the world’s food problem is.  \\n \\nln this course, more than 10 food researchers from Utrecht University will address the main issues of food consumption. They will handle two interrelated themes; Food shortage and Healthy choices. You will learn to identify the key ingredients of the world’s food challenges and to think about the solutions for enabling changes in the current food system.\\n\\nWe will also look at the possible sustainable solutions for several accut issues: the demands of the growing human population, the role of nutrition, and the need to understand food choices in order to have healthier diet and consider the possibilities of alternative foods.\\n\\nWe invite you to join us on an interdisciplinary journey through the world food problems. You will gain new knowledge and insights that will help you form your own opinion on these subjects and make better choices in your food consumption. \\nWe hope you will enjoy the course!\\n\\nThe Future Food Team","nutrition; implementation intention; agriculture; presales; cellular agriculture; food security; food science; microbiota; diet (nutrition); the future of food","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43997.0,"None","English","life-sciences","public-health","jsozn_dMEeaSfhKA_sgPeg","[NULL]"]
["2. Upskill","Public Health","Diabetes - a Global Challenge","University of Copenhagen","[NULL]",22.1,4.74,"https://www.coursera.org/learn/diabetes","Diabetes and obesity are growing health problems in rich and poor countries alike. With this course you will get updated on cutting-edge diabetes and obesity research including biological, genetic and clinical aspects as well as prevention and epidemiology of diabetes and obesity. All lectures are provided by high-profile scientists from one the world's leading universities in diabetes research. \\n\\nThis course is part of the EIT Health Campus programme.\\n\\nWe hope you will enjoy our course.\\n\\nBest Wishes \\n\\nJens Juul Holst, Signe Sørensen Torekov and Nicolai Wewer Albrechtsen \\nDepartment of Biomedical Sciences Novo Nordisk Foundation Center for Basic Metabolic Research \\nFaculty of Health and Medical Sciences University of Copenhagen","genetics; stem cells; diabetes; medicine; physical activity; therapy; exercise; glucose; obesity; global","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13, 25","None","English","life-sciences","public-health","UTmoThr5EeWqIgq-TOy4Xw","[NULL]"]
["2. Upskill","Public Health","Reducing Gun Violence in America: Evidence for Change","Johns Hopkins University","Beginner",18.2,4.49,"https://www.coursera.org/learn/gun-violence","Reducing Gun Violence in America: Evidence for Change is designed to provide learners with the best available science and insights from top scholars across the country as well as the skills to understand which interventions are the most effective to offer a path forward for reducing gun violence in our homes, schools, and communities.\\n\\nThrough this course, you will learn how to:\\n1.\\tAppreciate the scope of gun violence and the importance of considering the issue across a variety of contexts.\\n2.\\tDescribe the role of law and policy in addressing gun violence at the federal, state, and local levels.\\n3.\\tCompare the effectiveness of gun violence policies and highlight the importance of changing the way we talk about gun                      \\n        violence.\\n4.\\tDescribe state standards for civilian gun carrying and use and how those standards affect crime and violence.\\n5.\\tDescribe how firearm design is regulated, the effective and just enforcement of firearm laws, and strategies for reducing \\n        police-involved shootings.\\n6.\\tIdentify and explain evidence-based programs to reduce gun violence and understand public opinion on gun policy.\\n\\nAs a student of this course, it’s important to recognize that you are part of an international learning community. We understand that gun violence can be a difficult issue to discuss and we all have our own set of opinions and beliefs. However, we ask you to please remember that gun violence is something that affects every person differently. It’s important to understand that this course is intended to generate productive and meaningful conversation. \\n\\nWe ask students of this course to abide by the rules outlined and expected of you by Coursera’s Code of Conduct Policy. Please help us promote a healthy, productive, and sustainable learning environment for all and practice the following principles:\\n\\nBe polite.\\n\\tTreat your fellow learners with respect.\\n\\tInsulting, condescending, or abusive words will not be tolerated.\\n\\tDo not harass other learners.\\n\\tPolite debate is welcome as long as you are discussing the ideas or the evidence, not attacking the person.\\n\\nBe sensitive.\\n\\tRemember that Coursera is a global forum with learners from many different cultures and backgrounds.\\n\\tBe kind, thoughtful, and open-minded when discussing race, religion, gender, sexual orientation, or controversial topics \\n        since others likely have differing perspectives.\\n\\nPost appropriate content.\\n\\tContent that violates the Honor Code or Terms of Service is not permitted.\\n\\tYou may not post inappropriate (e.g., pornographic or obscene) content.\\n\\tDo not post copyrighted content.\\n\\tDo not advertise or promote outside products or organizations.\\n\\tDo not spam the forums with repetitive content.\\n\\nPlease note that violations of Coursera’s Code of Conduct, Honor Code, or Terms of service are not permitted and may result in:\\n\\tDeletion of posted content.\\n\\tRemoval from the course.\\n\\tLosing access to the Coursera site.\\n\\n*It is important to also note that certain policies and laws mentioned in this course are likely to change and develop over time. As a result, we understand that course content may need to be updated to reflect such changes. While we will strive to do this as quickly as possible, we appreciate your patience. All information included in the course is reported accurately at the time of recording and we intend to update lectures as soon as possible and to the best of our ability.\\n\\nThe development of this course was made possible through generous financial support provided by the David and Lucile Packard Foundation, an organization committed to improving the lives of children, enabling the creative pursuit of science, advancing reproductive health, and conserving and restoring the earth’s natural systems.","gun violence; dickey amendment; homicide; swanson; law; dewey cornell; data furnace; crime scene; violence; critical thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44187.0,"None","English","life-sciences","public-health","YZB4KwRgEemMVw7xXzWiVg","[NULL]"]
["2. Upskill","Public Health","Communicating During Global Emergencies","Emory University","Intermediate",7.8,4.61,"https://www.coursera.org/learn/communicating-during-global-emergencies","In collaboration with the Rollins School of Public Health and the CDC's Division of Global Health Protection, Emergency Response, and Recovery Branch,  this course introduces basic concepts and principles of communicating during a global crisis or emergency.  It explores why communication during an emergency is different and the importance of adapting emergency messages to the needs of affected populations. Through sample scenarios, you will get the opportunity to identify information needs and develop useful messages using six guiding principles to help you communicate effectively and promote behaviors that reduce health risks during an emergency.","crisis management; health communication; sign language; pandemic; communication; preparedness; emergency; disaster; crisis communication; emergency management","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43960.0,"Chinese","English","life-sciences","public-health","eY4rvdRNEee6og6I9ohUwg","[NULL]"]
["2. Upskill","Public Health","Foundations of Health Equity Research","Johns Hopkins University","Beginner",11.0,5.0,"https://www.coursera.org/learn/health-equity-research","Introduces students to the core principles of health equity research. Covers topics such as defining health equity, engaging community and policy stakeholders, patient-centeredness, cultural competence, and dissemination of research findings. Content will recognize different geographic, cultural, and social contexts where health inequities occur.","brainstorming; e-research; dissemination; securities research; health; health equity; stock; 3d artist; 3D Sketching; 360-degree feedback","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43996.0,"None","English","life-sciences","public-health","fSYSDnzBEem9KBLXx7HZ1A","[NULL]"]
["2. Upskill","Public Health","Science Matters: Let's Talk About COVID-19","Imperial College London","Beginner",15.5,3.8,"https://www.coursera.org/learn/covid-19","Welcome to ‘Science Matters: Let's Talk about COVID-19’, from the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA) at Imperial College London.\\n\\nThe outbreak of the Novel Coronavirus Disease (COVID-19) is the most significant public health emergency of the 21st century so far. As the epidemic spreads, people around the world want to understand the science behind the most pressing questions: how many people have been infected? How dangerous is the virus? When will a vaccine be available? How can the epidemic be contained, and the damages mitigated? What is the economic impact? What’s the role of social media and local communities in the epidemic response? \\n\\nResearchers at J-IDEA and other research institutes at Imperial College London have been at the forefront of the response to the COVID-19 emergency, with clinical, epidemiological and social science analyses informing the outbreak response. They are generating robust empirical evidence that governments and international agencies are using around the world to plan their responses. \\n\\nOn this course, you will hear directly from our world-class experts about the theory behind the analyses of COVID-19 and its spread, while learning how to interpret new information using core principles of public health, epidemiology, medicine, health economics, and social science. You will be able to watch regular situation reports about the state of the epidemic, provided by the researchers of J-IDEA and its director Professor Neil Ferguson. \\n\\nIf you want to learn even more about these topics, a number of free MOOCs are available from Imperial College London. We also offer a fully online Global Master of Public Health for those of you who want to delve even deeper and join our professional community. \\n\\nPlease note:\\n\\nThis course was launched in February 2020 and we have continued to develop content as the COVID-19 situation progresses and new insights emerge. While we endeavour to include the most recent information, this is a fast-moving situation and information is constantly changing. \\n\\nThis course is to be used for educational purposes only and is open to all and free of charge. \\n\\nThe information in this course does not constitute clinical or other advice and must not be used for the purposes of providing any clinical or other advice. If you have any health concerns, please refer to your regional health authorities’ guidelines and consult a medical professional.\\n\\nPlease note the views expressed by individuals in the course content do not necessarily reflect those of Imperial College London, J-IDEA and any other funding partners. \\n\\nImperial College London, J-IDEA and any other funding partners shall not be liable, to the maximum extent permitted by law, for any loss suffered or for any other adverse or negative consequence arising directly or indirectly from your reliance on the information contained in this course.","emergency medicine; oncology; medicine; Data Science; clinical research; health; public health; infectious diseases; vaccine; immunology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44092.0,"Spanish","English","life-sciences","public-health","xmxEgUjrEeqWvBKZy5s3UQ","[NULL]"]
["2. Upskill","Public Health","Foundational Skills for Communicating About Health","University of Michigan","Beginner",18.7,4.6,"https://www.coursera.org/learn/foundational-skills-communicating-health","Effective communication is a core skill that nearly every health professional will need and use during their careers. Yet, few health professionals receive even basic training in how to design communications to be clear and successful. As “foundational skills,” the content in this course can be applied to both oral and written communication, within and beyond health.\\n\\nLearners will develop the skills to: analyze and tailor a communication effort for different audiences, develop clear messages, create logical and compelling stories, understand and apply important considerations with language as well as nonverbal communication.\\n\\nThis course is valuable and appropriate for both beginning and experienced health professionals who need to communicate effectively with other professionals, patients, policymakers, or the broader public.. Content is relevant to public health professionals, clinicians of all types (medical, nursing, dentists, social work, etc.), health advocates, and scientists and researchers in any health domain..","communication design; crisis communication; abts; health insurance marketplace; medical terminology; health; nursing; public health; health communication; social work","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44186.0,"None","English","life-sciences","public-health","ss-mT7ZcEemshQqxC_6bTA","[NULL]"]
["2. Upskill","Public Health","Drugs, drug use, drug policy and health","University of Geneva","Intermediate",23.6,4.74,"https://www.coursera.org/learn/drugs","This MOOC is the first of its kind, since it addresses critical issues related to drugs from a multidisciplinary, health and human rights-based approach. Throughout the course you will cover a range of questions including what are drugs and why they controlled? What are the benefits and harms of taking drugs? How public health policies can address drug use? \\nYou will also learn about the intricacies of the international drug control framework and the negative consequences of widespread prohibitionist drug policies around the world. Finally, you will examine ways of furthering drug policy reform.\\n\\nThe topics will be presented by over 40 speakers from scientific, academic and institutional backgrounds, spokespersons of civil society as well as people who use drugs presenting their views.\\n\\nBy the end of the course you will have:\\n-\\ta strong understanding of the major health issues related to drug use and drug policy; \\n-\\ta clear vision of why drug policy is debated today; \\n-\\tand, if you so wish, you will be equipped to engage in the drug policy reform movement at your local or regional level.","pharmaceutical industry; decriminalization; drug policy; health; clinical pharmacy; pharmacy; harm reduction; addiction; drugs; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization","15, 28","French; Greek; Spanish; Russian","English","life-sciences","public-health","aJ8MCeoiEeaZ0go82jKzkg","[NULL]"]
["2. Upskill","Public Health","Experimental Methods in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",24.2,4.57,"https://www.coursera.org/learn/experimental-methods","Learn about the technologies underlying experimentation used in systems biology, with particular focus on RNA sequencing, mass spec-based proteomics, flow/mass cytometry and live-cell imaging.\\n\\nA key driver of the systems biology field is the technology allowing us to delve deeper and wider into how cells respond to experimental perturbations. This in turns allows us to build more detailed quantitative models of cellular function, which can give important insight into applications ranging from biotechnology to human disease. This course gives a broad overview of a variety of current experimental techniques used in modern systems biology, with focus on obtaining the quantitative data needed for computational modeling purposes in downstream analyses. We dive deeply into four technologies in particular, mRNA sequencing, mass spectrometry-based proteomics, flow/mass cytometry, and live-cell imaging. These techniques are often used in systems biology and range from genome-wide coverage to single molecule coverage, millions of cells to single cells, and single time points to frequently sampled time courses. We present not only the theoretical background upon which these technologies work, but also enter real wet lab environments to provide instruction on how these techniques are performed in practice, and how resultant data are analyzed for quality and content.","integration-testing; flow-cytometry; flow-network; cytometry; analysis; mass-cytometry; biology; immunophenotyping; data-analysis; mass-spectrometry","Systems Biology and Biotechnology",2.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.","[14.6,31]","NA","English","life-sciences","research","iCIGe_T6EeS-1yIAC7MN4w"]
["2. Upskill","Public Health: Epidemiology","Measuring Disease in Epidemiology","Imperial College London","Advanced",13.6,4.64,"https://www.coursera.org/learn/measuring-disease-epidemiology","Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.","epidemiology; clinical epidemiology; adobe indesign; clinical research; biostatistics; public health; disease; health policy; sensitivity analysis; health","Epidemiology for Public Health",1.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.",44059.0,"None","English","life-sciences","public-health","hSFRplRqEeiPZBL0QYL46A","gaExsVUREeiC9wpsTgD1Fg"]
["2. Upskill","Public Health: Epidemiology","Study Designs in Epidemiology","Imperial College London","Advanced",6.1,4.79,"https://www.coursera.org/learn/study-designs-epidemiology","Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research. \\nIn this course, you will learn about the main epidemiological study designs, including cross-sectional and ecological studies, case-control and cohort studies, as well as the more complex nested case-control and case-cohort designs. The final module is dedicated to randomised controlled trials, which is often considered the optimal study design, especially in clinical research. You will also develop the skills to identify strengths and limitations of the various study designs. By the end of this course, you will be able to choose the most suitable study design considering the research question, the available time, and resources.","bayes classifier; bayes factor; clinical research; health; epidemiology; clinical trials; public health; clinical epidemiology; clinical study design; additive model","Epidemiology for Public Health",2.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.",43897.0,"None","English","life-sciences","public-health","ApVo5lRrEeiGKxInOEegGg","gaExsVUREeiC9wpsTgD1Fg"]
["2. Upskill","Public Health: Epidemiology","Validity and Bias in Epidemiology","Imperial College London","Advanced",8.2,4.84,"https://www.coursera.org/learn/validity-bias-epidemiology","Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.","clinical trials; clinical study design; clinical epidemiology; biostatistics; clinical research; case-control study; bias; epidemiology; public health; analysis","Epidemiology for Public Health",3.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.",43960.0,"None","English","life-sciences","public-health","Rtiw71RrEeiuag4cjofrng","gaExsVUREeiC9wpsTgD1Fg"]
["2. Upskill","Public Health: Epidemiology","Essential Epidemiologic Tools for Public Health Practice","Johns Hopkins University","Intermediate",5.1,4.73,"https://www.coursera.org/learn/epidemiology-tools","In order to make a difference in the health and well-being of a population, we must understand the burden of all problems and conditions that affect the population, as well as how well our efforts to mitigate these problems are actually working. This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. The tools that epidemiologists use are in fact useful for all public health practitioners, including data scientists, program officials, agency leaders, and policymakers. Whether you are deeply enmeshed in your career and looking to augment your skills, or are looking to change career paths into the field of public health, this course will give you some of the practical knowledge and skills that we hope you can apply in your professional endeavors.","Mapping; estimation; epidemics; epidemiology; geographic information system; public health; data visualization; health economics; clinical epidemiology; map","Epidemiology in Public Health Practice",1.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.",43896.0,"None","English","life-sciences","public-health","HMEBfu2ZEeiJkwpQ0Sp0Yg","_32zWIhbEemOWgrfcpVN7g"]
["2. Upskill","Public Health: Epidemiology","Data and Health Indicators in Public Health Practice","Johns Hopkins University","Advanced",9.1,4.68,"https://www.coursera.org/learn/data-public-health","Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies.\\n\\nIn this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions. This methodology depends on the use of reliable data, so we'll take a deep dive into the routine and public health data systems that lie at the heart of epidemiology and then conclude with how you can use that data to calculate measures of disease burden in populations.","problem solving; methodology; health indicator; public health; measurement; sources; epidemiology; disease; problem solving methods; disease burden","Epidemiology in Public Health Practice",2.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.",43932.0,"None","English","life-sciences","public-health","qzwLIm32EeabgxL_CsKzaQ","_32zWIhbEemOWgrfcpVN7g"]
["2. Upskill","Public Health: Epidemiology","Surveillance Systems: The Building Blocks","Johns Hopkins University","Advanced",5.7,4.67,"https://www.coursera.org/learn/epidemiology-surveillance-systems","Epidemiology is often described as the cornerstone science and public health and public health surveillance is a cornerstone of epidemiology. This course will help you build your technical awareness and skills for working with a variety of surveillance systems. Along the way, we'll focus on system objectives, data reporting, the core surveillance attributes, and performance assessment. This course is designed for public health practitioners and anyone who wants to learn more about the basics of public health surveillance. If you develop or implement surveillance systems or aspire to do so or use the data resulting from surveillance, then this course is for you. It's s also for people who are interested in understanding more about this fundamental epidemiologic tool and public health practice.","evaluation; clinical epidemiology; epidemics; public health; continuous function; epidemiology; health research; measurement; epidemic; health economics","Epidemiology in Public Health Practice",3.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.",43867.0,"None","English","life-sciences","public-health","MxisxCo8EemI7w6DyJsmOg","_32zWIhbEemOWgrfcpVN7g"]
["2. Upskill","Public Health: Epidemiology","Surveillance Systems: Analysis, Dissemination, and Special Systems","Johns Hopkins University","Beginner",6.2,4.72,"https://www.coursera.org/learn/epidemiology-surveillance-systems-analysis","In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect its use. We'll then turn our attention to surveillance of non-communicable chronic diseases and how the data can be used to support prevention efforts. Finally, we'll explore special surveillance systems, such as syndromic surveillance, antimicrobial resistance, and event-related surveillance. This course is designed for public health practitioners with a focus on those working on health surveillance in municipal, regional, state, provincial, or even national public health agencies. We really think that this course will help those with an interest in health surveillance to see which approaches are used in actual practice of public health.","health economics; dissemination; epidemiology; analysis; health research; data analysis; public health; interpretation; epidemic; epidemics","Epidemiology in Public Health Practice",4.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.",43897.0,"None","English","life-sciences","public-health","3vl2Su2ZEeiJnAqB4Om4ig","_32zWIhbEemOWgrfcpVN7g"]
["2. Upskill","Public Health: Epidemiology","Outbreaks and Epidemics","Johns Hopkins University","Advanced",5.9,4.76,"https://www.coursera.org/learn/outbreaks-epidemics","Professional epidemiologists are often called on to investigate outbreaks and epidemics. This course serves as an introduction to the essentials of investigation, identifying pathogens, figuring out what's going on, reporting, and responding. You'll learn how to ask precise epidemiologic questions and apply epidemiologic tools to uncover the answers. You'll also learn about basic epidemic dynamics and the terrible law that cause them to grow, as well as the reasons why they recede and eventually go away. The course concludes with deep dives into some real outbreaks from Ebola, in West Africa, to the opioid epidemic in the United States.","epidemic; epidemiology; epidemics; Capacity Planning; case study; disease; law; clinical psychology; public health; outbreak","Epidemiology in Public Health Practice",5.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.",43896.0,"None","English","life-sciences","public-health","jvbebe2aEei-9xJAr2ZhBg","_32zWIhbEemOWgrfcpVN7g"]
["2. Upskill","Public Health: Epidemiology","Ebola Virus Disease: An Evolving Epidemic","Emory University","[NULL]",17.7,4.7,"https://www.coursera.org/learn/ebola-virus","Learn about the evolving Ebola epidemic and its various aspects including disease prevention, management and treatment, response to the epidemic, ethical considerations, and the post-Ebola global health landscape.","epidemics; personal protective equipment; nursing; Patient Care; medicine; ebola; hematology; Viral Vectors; health law in the united states; public health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44184.0,"Spanish","English","life-sciences","public-health","QPsZPf2gEeSvCSIAC12B5Q","[NULL]"]
["2. Upskill","Public Health: Epidemiology","In the footsteps of Zika… approaching the unknown","University of Geneva","Advanced",11.5,4.64,"https://www.coursera.org/learn/zika","Welcome !\\n\\nWelcome to this on-demand MOOC “In the footsteps of Zika… approaching the unknown”. \\n\\nThis MOOC has been produced by Université de Genève (www.unige.ch), Institut Pasteur (www.pasteur.fr), Université Paris Descartes (www.parisdescartes.fr) and Centre Virchow-Villermé (virchowvillerme.eu).\\n\\nWith the help of the intervention of faculty members and international experts, we will explore together the recent Zika phenomenon, a previously rare benign virus that recently turned unexpectedly into the limelight when on the 1st of February 2016 it was declared by the WHO as a Public Health Emergency of International Concern. \\nAs this outbreak is still ongoing and under close investigation, this MOOC has the opportunity to be an open learning experience that will follow the marked developments and new discoveries over time. This MOOC will bring you to the heart of the Zika outbreak and invite you to this adventure in uncharted territories. \\nMoreover, we invite you to join the interactive dialogue among participants and facilitators through a community of practice, which promotes questions, critical thinking, participatory learning, as well as interrelated and ongoing collaborative information. \\nLet us learn hand in hand all together to go further in finding clues and eventually solutions!\\n\\nCourse description \\n\\nThis interdisciplinary course is divided into 8 modules available in 4 languages (subtitles in English, French, Portuguese, Spanish). \\nEach module is organized around a central topic that will help those who take the course to develop their skills and knowledge. Each module provides\\n- interviews with specialists\\n- quizes\\n- recommended readings\\n- online videos and web links. \\n\\nThis MOOC will cover a range of topics, such as epidemiology, historical and geographical dispersion of the virus and its vectors through globalization and climate change, its modes of transmission, but also the symptoms, diagnosis and treatment. The different types of preventive measures will be also covered. \\nA special module will focus on possible neurological adverse effects such as the risk for birth defects (microcephaly) in pregnant women, while another one will examine the peripheral nerve paralysis called the Guillain-Barré syndrome. \\nThe fact that Zika presents a significant threat to political and economic stabilities and thus reinforces social inequity through South America will be addressed. \\nThe revolution in cultural, religious, and legal norms in front of the expansion of Zika will be also debated. \\nFinally, the last two modules will state the role, recommendations and response measures of policy makers and public health organizations under the light of medias.","flavivirus; dengue vaccine; microcephaly; zika virus; anencephaly; neurological disorders; public health; outbreak; economic epidemiology; medicine","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43995.0,"Spanish; French; Portuguese","English","life-sciences","public-health","xASZdzkZEea1eg6YQeunOw","[NULL]"]
["2. Upskill","Public Health: Epidemiology","Epidemiology: The Basic Science of Public Health","The University of North Carolina at Chapel Hill","Advanced",12.7,4.56,"https://www.coursera.org/learn/epidemiology","Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will  understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.","clinical-study-design; learning; epidemiology; statistics; causality; clinical-epidemiology; public-health; disease; measurement; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.9,15.6]","Chinese","English","life-sciences","public-health","FjD-ZB8oEeScWCIACnuVZQ"]
["2. Upskill","Public Health: Epidemiology","Disease Clusters","Johns Hopkins University","Intermediate",6.6,4.65,"https://www.coursera.org/learn/disease-clusters","Do a lot of people in your neighborhood all seem to have the same sickness? Are people concerned about high rates of cancer? Your community may want to explore the possibility of a disease cluster, which happens when there is a higher number of cases of disease than expected.\\n  \\nWhen communities hear about cases of disease in their neighborhood, they are rightfully concerned. However, the results of investigations by the health department often find no evidence of a cluster.\\n \\nThis course will help you understand what a disease cluster is and how it is studied.  The goal is to empower community (or citizen) scientists, and to help build better relationships between communities and health officials.","biostatistics; disease; oil; exposure assessment; canning; cholera; Planning; h.e.a.r.; cancer; disease cluster","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43898.0,"None","English","life-sciences","public-health","_CkCc5WSEei3UBLSq7thng","[NULL]"]
["2. Upskill","Public Health: Epidemiology","Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out","Johns Hopkins University","Beginner",5.1,4.63,"https://www.coursera.org/learn/covid19-epidemiology","This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections.\\n\\nThe COVID-19 epidemic has made many people want to understand the science behind pressing questions like: \"How many people have been infected?\" \"How do we measure who is infected?\" \"How infectious is the virus?\" \"What can we do?\" Epidemiology has the tools to tell us how to collect and analyze the right data to answer these questions.\\n\\nIn addition to a basic understanding of these essential tools, this Teach-Out provides a way for you to learn and connect with one another while continuing to practice the social distancing measures that will help keep us safe. We also hope to provide you with some tangible calls to action that will help you affect positive change for yourself, your community, and our society.","epidemiology; immunology; epidemics; health; social epidemiology; 3d reconstruction; computational epidemiology; accidental sampling; microsoft excel; public health","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43896.0,"Italian; Spanish","English","life-sciences","public-health","xLCmSmnwEeqibApethH5FQ","[NULL]"]
["2. Upskill","Public Health: Global Health","Understanding and Strengthening Health Systems","Johns Hopkins University","Intermediate",19.1,4.69,"https://www.coursera.org/learn/health-systems","Welcome to our course on Understanding and Strengthening Health Systems for Global Health. During the course we will provide you with an overview of the main elements or building blocks of a health system based on the World Health Organization’s guidance. You will have the opportunity to explore four main areas of health systems in global health with particular reference to low and middle income countries. The first area focuses on understanding health service organizations, the challenges. Our second module looks at WHO’s six major building blocks or health systems components with particular reference to primary health care and the need for community participation in planning, delivery and assessment of these systems components. in our third module we examine the specific systems component of human resource development and capacity building. The fourth area consists of health policy making and advocacy with stakeholders. This course is geared toward learners who are already involved in managing health and development programs on the ground in low and middle income countries or who are preparing for such a management role.  The main lectures will span a four-week period with approximately 2-4 hours of viewing learning materials per week.  We have one peer graded essay wherein you will use skills in ‘organizational’ diagnosis to better understand a challenge in an organization where you are or have worked. There are also quizzes. We hope you will engage with your fellow learners in discussion forums to learn from each other.","public health; environmental health officer; indigenous health; communication; health policy; health system; ivermectin; community engagement; patent medicine; concoction","Foundations of Global Health",1.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.",44160.0,"None","English","life-sciences","public-health","fn1ZVMZlEee_GgpOk9kbPg","child~MRcZ1l00Eei5AQ5d7BZVIA"]
["2. Upskill","Public Health: Global Health","Diagnosing Health Behaviors for Global Health Programs","Johns Hopkins University","Intermediate",15.6,4.78,"https://www.coursera.org/learn/health-behaviors-global","Health behavior lies at the core of any successful public health intervention. While we will examine the behavior of individual in depth in this course, we also recognize by way of the Ecological Model that individual behavior is encouraged or constrained by the behavior of families, social groups, communities, organizations and policy makers. We recognize that behavior change is not a simplistic process but requires an understanding of dimensions like frequency, complexity and cultural congruity. Such behavioral analysis is strengthened through the use of a toolkit of theoretical models and practical frameworks. While many of such models and frameworks exist, in this course we will review the Health Belief Model, Social Learning Theory, Theory of Reasoned Action, the Trans-Theoretical Model and the PRECEDE Framework. After building your behavioral analysis toolkit with these examples, you will see that actual behavior change program planning uses a combination of ideas and variables from different models, theories and frameworks. Ultimately we aim to encourage course participants to apply the idea that successful programs are theory based as they go about involving people in improving their health.","sick role; cognitive behavioral therapy; public health; locus of control; community health; experimental economics; behavior; education; medicine; health policy","Foundations of Global Health",4.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.",44033.0,"None","English","life-sciences","public-health","HoG7me0_Eea3iQqSVF8Nwg","child~MRcZ1l00Eei5AQ5d7BZVIA"]
["2. Upskill","Public Health: Global Health","Community Change in Public Health","Johns Hopkins University","Intermediate",12.7,4.6,"https://www.coursera.org/learn/community-public-health","In bringing about behavior change in public health, we often focus on the individual mother, student, or farmer. We should not forget the community structure and norms constrain for encouraging individual health behaviors. This course examines the community context of the changes needed to promote the public’s health. We begin by examining the various definitions of ‘community’ and the processes by which we ‘diagnose’ or seek to understand the structure and characteristics of different types of communities.\\n\\nAn appreciation of community similarities and differences is necessary lest we fall into the trap of designing one-size-fits-all interventions. We need to recognize that no matter that outsiders may view a community as poor or neglected, we can find strengths and capacities for improvement in each community. Identifying community capacities and resources is the first step in facilitating community change. Different practical and philosophical approaches to change and therefore, examined. Specific to the change process is our recognition of the need for communities to participate in the design, implementation and evaluation of any intervention.\\n\\nWe examine the concept of participation in an effort to see how different levels of involvement may affect sustainability of community change efforts. Finally a case study of a community participatory approach to onchocerciasis control in Africa is presented. Community Directed Intervention has subsequently been successfully applied to providing other essential primary health care services by and in the community, such as insecticide treated bednets, malaria treatment, vitamin A distribution, deworming medicines, and pneumonia and diarrhea case management.","education; modeling; management; ivermectin; community change; housing estate; Case Management; Needs Assessment; learning; public health","Foundations of Global Health",5.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.",44058.0,"None","English","life-sciences","public-health","-GA2-bmnEeWkwBIgnN7tuw","child~MRcZ1l00Eei5AQ5d7BZVIA"]
["2. Upskill","Public Health: Global Health","Training and Learning Programs for Volunteer Community Health Workers","Johns Hopkins University","Intermediate",17.0,4.82,"https://www.coursera.org/learn/commhealthworkers","Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.","principles of learning; training; Training Evaluation; education; learning; ivermectin; patent medicine; community health; project; niche market","Foundations of Global Health",6.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.",44095.0,"None","English","life-sciences","public-health","A--9GrmqEeW6YA7MjVrgzw","child~MRcZ1l00Eei5AQ5d7BZVIA"]
["2. Upskill","Public Health: Global Health","Global Disease Masterclass: Global Disease Distribution","Imperial College London","Beginner",11.3,4.73,"https://www.coursera.org/learn/global-disease-distribution","The Global Diseases Masterclass is part of the full-degree Masters of Public Health that the School of Public Health. By the end of this specialisation, our aim is that students will be able to critically apply epidemiological concepts to major global diseases and be able to appraise and recommend policy options to combat them.\\n\\nGlobal Diseases Masterclass: Global Disease Distribution\\nIn this course, we will introduce students to the most important trends and pattern in health and disease on a global scale. We will look at how health has improved over time, examine the trends for the future and look at between and within-country inequality in health. We will look at the methods that lie behind those statistics and think about different ways in which health can be conceptualised and measured. The course ends by considering the reason that might lie behind the patterns that we’ve pointed out and introducing the distinction between direct and structural interventions.The course ends by considering the reasons that might lie behind the patterns that we’ve described and introducing the concept of structural interventions.","disease; nutritional diseases; health; condoms; hiv; global; data analysis; interpretation; deaths from infectious disease; public health","Global Disease Masterclass",1.0,"https://www.coursera.org/specializations/gmph-global-disease-masterclass","The Global Disease Masterclass specialisation aims to provide students with an overview of core health challenges and lines of epidemiological research being undertaken, across a range of infectious and non-communicable diseases.\\n\\nThe specialisation begins by examining the global distribution of diseases and the major trends that we have seen in the last several decades. Simultaneously, we consider the data that are used to construct such estimates. We then consider the role of social determinants and risk factors in shaping the distribution of disease in populations. For each, the overall aetiology and epidemiological patterns are described and subsequently, the interventions that are available to combat them are considered. Particular ‘policy issues’ in relation to each disease are examined from multiple angles. Each session comprises lecture content with leaders in the field, practical activities and in-depth interview with subject matter experts. The specialisation will give students a broad understanding of the major global issues in health and an in-depth understanding of some of the most important disease challenges that are being faced today. It will equip public health professionals and researchers with a broad foundation of knowledge on which to build further expertise about global public health.",43996.0,"None","English","life-sciences","public-health","0l99KGTtEeiHHhI_ziov1A","0g8Sp2TtEeiE-RJ8Iziqxg"]
["2. Upskill","Public Health: Global Health","Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention","Imperial College London","Beginner",9.2,4.78,"https://www.coursera.org/learn/global-disease-masterclass-communicable","This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn. We’ve selected these diseases because they span a range of different types of disease and allow us to look at important issues that relevance of other diseases too. We will look at each disease in the same way: we begin by looking at the aetiology and epidemiology of the diseases. We then show how data on this disease can be used to understand important trends and patterns. We then focus on the interventions that can be used to address that disease - typically spanning both prevention and treatment - and consider how policies have been developed to address the disease. We finish by reflecting on the whole topic area of the disease with an external expert.","audiology; attack patterns; prevention; public health; disease; nearest neighbor search; ebola; epidemiology; emerging infectious disease; line segment intersection","Global Disease Masterclass",2.0,"https://www.coursera.org/specializations/gmph-global-disease-masterclass","The Global Disease Masterclass specialisation aims to provide students with an overview of core health challenges and lines of epidemiological research being undertaken, across a range of infectious and non-communicable diseases.\\n\\nThe specialisation begins by examining the global distribution of diseases and the major trends that we have seen in the last several decades. Simultaneously, we consider the data that are used to construct such estimates. We then consider the role of social determinants and risk factors in shaping the distribution of disease in populations. For each, the overall aetiology and epidemiological patterns are described and subsequently, the interventions that are available to combat them are considered. Particular ‘policy issues’ in relation to each disease are examined from multiple angles. Each session comprises lecture content with leaders in the field, practical activities and in-depth interview with subject matter experts. The specialisation will give students a broad understanding of the major global issues in health and an in-depth understanding of some of the most important disease challenges that are being faced today. It will equip public health professionals and researchers with a broad foundation of knowledge on which to build further expertise about global public health.",43963.0,"None","English","life-sciences","public-health","ZWOO_nU1Eeiq5AqveOGNaA","0g8Sp2TtEeiE-RJ8Iziqxg"]
["2. Upskill","Public Health: Global Health","Global Disease Masterclass: Non-communicable Diseases","Imperial College London","Beginner",6.6,4.6,"https://www.coursera.org/learn/global-disease-non-communicable","Welcome to this course on the aetiology, epidemiology and interventions for non-communicable diseases of the Global Diseases Masterclass. We’ve selected four disease areas and will go through each in turn. The diseases we’ve chosen are: Colorectal Cancer, Cardiovascular Disease (CVD), Dementia, and Diabetes. We have selected these non-communicable diseases because they span a range of different types of disease process and because of the expertise and experience that our School of Public Health has in these areas. This will provide an introduction to a few of the of most important global non-communicable disease challenges while also providing variation in aetiology, epidemiology and interventions to learn from. We hope that by the end of this course you will be able to describe the basics of the disease aetiology, global epidemic trends and the available interventions. We also hope you’ll be able to use this information to critique public health approaches and policy positions for the four non-communicable diseases we’ve covered as well helping you extend to further disease areas.","disease; sexism; about your sexuality; dementia; corporate equality index; global; non-communicable disease; asexuality; collective identity; public health","Global Disease Masterclass",3.0,"https://www.coursera.org/specializations/gmph-global-disease-masterclass","The Global Disease Masterclass specialisation aims to provide students with an overview of core health challenges and lines of epidemiological research being undertaken, across a range of infectious and non-communicable diseases.\\n\\nThe specialisation begins by examining the global distribution of diseases and the major trends that we have seen in the last several decades. Simultaneously, we consider the data that are used to construct such estimates. We then consider the role of social determinants and risk factors in shaping the distribution of disease in populations. For each, the overall aetiology and epidemiological patterns are described and subsequently, the interventions that are available to combat them are considered. Particular ‘policy issues’ in relation to each disease are examined from multiple angles. Each session comprises lecture content with leaders in the field, practical activities and in-depth interview with subject matter experts. The specialisation will give students a broad understanding of the major global issues in health and an in-depth understanding of some of the most important disease challenges that are being faced today. It will equip public health professionals and researchers with a broad foundation of knowledge on which to build further expertise about global public health.",43898.0,"None","English","life-sciences","public-health","h-Jt8HU1Eeiq5AqveOGNaA","0g8Sp2TtEeiE-RJ8Iziqxg"]
["2. Upskill","Public Health: Global Health","A Guide to Healthcare Innovation: Principles and Practice","Imperial College London","Beginner",7.3,4.69,"https://www.coursera.org/learn/guide-to-healthcare-innovation-principles-and-practice","This course reflects on global health challenges and the role of innovative solutions in addressing them. By engaging in this course, you will be able to describe the principles and key types of innovation in order to characterise the fundamental features of new models of care and technologies. \\n\\nThis course will review the basic features and principles of healthcare innovation. You'll be examining innovations developed to address global health challenges, ranging from simple low-cost technologies readily deployed in resource constrained settings to more complex combinations of organizational, business model and technology innovations. Throughout this course, you'll also consider how adoption and diffusion is influenced by social, economic and political factors and explore what is required to get an innovation in to practice, effectively, at scale.","a3 problem solving; 1.96; boundary testing; 360-degree feedback; test assertion; 5 whys; 2-satisfiability; a priori and a posteriori; backtesting; innovation","Global Health Innovations",1.0,"https://www.coursera.org/specializations/global-health-innovations","This specialisation reflects on global health challenges and the role of innovative solutions in addressing them. It is intended for public health professionals, budding entrepreneurs and innovators, as well as those interested in understanding the role innovation plays in the health industry.\\n\\nThe specialisation begins by providing learners with the ‘nuts and bolts’ of technology and innovation management, including key definitions and terminologies. You'll then examine ethical dimensions of innovation and explore how innovations can be supported through effective financing, protection and other incentives to support entrepreneurship. The specialisation will include in-depth examination of a variety of innovation case studies, using a variety of theoretical and practical frameworks, to understand what makes an innovation more likely to be adopted. You will also explore entrepreneurship and the skills necessary to take an idea through to invention and then innovation - and how to galvanise support for it.\\n\\nBy the end of the specialisation, you will be able to consider, in detail, and using appropriate terminology and frameworks, a particular innovation, explaining its added value in a particular context and in a persuasive manner.",43930.0,"None","English","life-sciences","public-health","zbAaXaCdEeiB7Q4qzU1p2g","zXHZNqCdEeiljQ5gmiahbg"]
["2. Upskill","Public Health: Global Health","Global Health Policy","The University of Tokyo","Intermediate",12.3,4.59,"https://www.coursera.org/learn/global-health-policy","In this course, learners will become familiar with principles and theories of global health problems, and major challenges and controversies in improving global population health as well as practical applications of quantitative methods to analyze and interpret issues and challenges for policy. Topics will include health and foreign policy, health governance, acute disease surveillance, non-communicable diseases, burden of disease, universal health coverage, health systems strengthening, health financing, and human resources for health and ageing.","learning; global; public-health; ageing; health-care; disease; health-system; health-policy; integration-testing; term-time","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,16.3]","NA","English","life-sciences","public-health","yVwkLZ2IEeW4xRJkiwxnYw"]
["2. Upskill","Public Health: Global Health","Global Health: An Interdisciplinary Overview","University of Geneva","Beginner",20.6,4.65,"https://www.coursera.org/learn/global-health-overview","This course proposes an overview of current global health challenges drawing on the insights of several academic disciplines including medicine, public health, law, economics, social sciences and humanities. This interdisciplinary approach will guide the student into seven critical topics in global health.","ehealth; prevention; security; e-health; disease; disease-control; global; environmental-conservation; public-health; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.4,25.9]","NA","English","life-sciences","public-health","6VIQlm6rEeSDGiIAC1sNTA"]
["2. Upskill","Public Health: Global Health","Global Health at the Human-Animal-Ecosystem Interface","University of Geneva","Intermediate",29.2,4.67,"https://www.coursera.org/learn/global-health-human-animal-ecosystem","The University of Geneva, Institute Pasteur, University of Montreal and Centre Virchow-Villermé/University Paris Descartes welcome you to this MOOC on \"Global Health at the Human-Animal-Ecosystem Interface\"!\\n\\nOver the next 8 weeks, you will explore and learn about some of the major and current Global Health Challenges at the Human-Animal-Ecosystem Interface: zoonotic emerging infections (e.g. Ebola, Nipah, MERS, Avian Influenza), antimicrobial resistance, neglected tropical diseases (e.g. rabies, leishmaniasis, zoonotic TB), snakebite and other human-animal conflicts etc. You will learn new concepts from the field of epidemiology, social anthropology, disease ecology, veterinary sciences, global health policy etc. and approaches such as One Health, Eco-Health and Planetary Health. Also, you will learn about innovative tools and frameworks used to study and tackle some of these Global Health challenges of the Sustainable Development Goals era.\\n \\nThis MOOC proposes you a dynamic, international and interdisciplinary programme based on the One Health approach (human-animal-environmental dimensions) and involving more than 30 top experts from more than 20 academic and research institutions and international organisations based in Geneva, Paris, Montreal and the world. Policy makers from the World Health Organisation, clinicians from the University Hospitals of Geneva, epidemiologists from Institut Pasteur etc. will share with you their knowledge and experiences all along this MOOC. Video-lectures have been filmed in different parts of the world and settings (from the field to the lab and office) and will be combined with the latest open readings and interactive activities in the discussion forum, video-conferences etc.\\n\\nThis MOOC keeps evolving and enriching actively over time and two new sections on \"Health Benefits at the Human-Animal-Ecosystem Interface\" and \"Management of Ecosystems under Global Changes: Implication for Human Health\" have been added in May 2018. This latter section was developed in close collaboration with experts from World Health Organisation and the Convention on Biological Diversity and is introduced by Dr. Tedros Adhanom Ghebreyesus, WHO Director-General. \\n\\nThe development of this MOOC was led by Dr. Rafael Ruiz de Castañeda, Dr. Isabelle Bolon and Prof. Antoine Flahault from the Institute of Global Health of the University of Geneva. The list of instructors is completed by Prof. Arnaud Fontanet (Institut Pasteur) and Prof. André Ravel (Faculty of Veterinary Medicine, University of Montreal). \\n\\nWatch our teaser here and let’s get started!\\nhttps://youtu.be/WT7-cC21uLU?list=PLnZ     (with subtitles in French and in Chinese)","biodiversity; disease-management; one-health; epidemiology; infection-control; public-health; global; animal; infection; disease","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,49.4]","NA","English","life-sciences","public-health","DDohSXmwEea0bBInbpCXBQ"]
["2. Upskill","Public Health: Global Health","The Challenges of Global Health","Duke University","Intermediate",18.9,4.72,"https://www.coursera.org/learn/global-health","What are the world’s major health challenges?  What contributes to them?  What can we do to improve health outcomes and reduce health disparities?  \\n\\nWhether you are new to Global Health, want to take a refresher course, or want to sample Global Health before undertaking undergraduate or graduate study in the field, The Challenge of Global Health is designed to provide a comprehensive but concise foundation for understanding Global Health problems and solutions. \\n\\nTaught by Dr. David Boyd, an award-winning professor at Duke University’s Global Health Institute (https://www.youtube.com/watch?v=SB4xBBzNxVQ), the course combines lectures with videos shot around the world and interviews with some of the world’s foremost Global Health experts.","non-communicable-disease; reproductive-health; i-deas; thought; disasters; violence; global; infectious-diseases; disease; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.7,20.6]","NA","English","life-sciences","public-health","V5SinKHsEeSqoSIACzsKQg"]
["2. Upskill","Public Health: Global Health","Essentials of Global Health","Yale University","Intermediate",62.9,4.8,"https://www.coursera.org/learn/essentials-global-health","Essentials of Global Health is a comprehensive introduction to global health. It is meant to introduce you to this topic in well-structured, clear and easy to understand ways. Much of the course will focus on five questions: What do people get sick, disabled and die from; Why do they suffer from these conditions? Which people are most affected? Why should we care about such concerns? What can be done to address key health issues, hopefully at least cost, as fast as possible, and in sustainable ways?  The course will be global in coverage but with a focus on low- and middle-income countries, the health of the poor, and health disparities. Particular attention will be paid throughout the course to health systems issues, the linkages between health and development, and health matters related to global interdependence. The course will cover key concepts and frameworks but be practical in orientation.\\n\\nESSENTIALS OF GLOBAL HEALTH WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.\\n\\n-------------------------------------------------------------------------------------------------------------------------------------------------------\\n\\nCourse Learning Objectives\\n\\nBy the end of the course, learners should be able to:\\n\\n•\\tArticulate key public health concepts related to global health;\\n•\\tAnalyze the key issues in global health from a number of perspectives;\\t\\n•\\tDiscuss with confidence the burden of disease in various regions of the world; how it varies by sex, age, and location; key risk factors for this burden; and how the disease burden can be addressed in cost-effective ways;\\n•\\tAssess key health disparities, especially as they relate to the health of low-income and marginalized people in low- and middle-income countries; \\n•\\tOutline the key actors and organizations in global health and the manner in which they cooperate to address critical global health concerns;\\n•\\tReview key global health challenges that are likely to arise in the coming decades.\\n\\n\\n-------------------------------------------------------------------------------------------------------------------------------------------------------\\n\\nValue Added of the Course\\n\\nThe course seeks to add special value by being comprehensive, by handling each  topic in a consistent framework, and by helping learners gain an understanding of well grounded approaches to assessing global health issues and what can be done to address them.\\n\\n\\n-------------------------------------------------------------------------------------------------------------------------------------------------------\\n\\nThe Readings and other materials for Essentials of Global Health\\n\\nFor almost every session of Essentials of Global Health, you will see: \\n\\n- Required readings\\n- Recommended readings\\n- Recommended videos\\n\\nWe have selected a small number of readings for each session that are central to understanding the content of the session. We have put these under “required readings”.\\n\\nFor each required reading, we have also indicated how carefully you should read the material and on what parts of the material you should focus your attention.\\n\\nIn addition, we have selected some additional readings that would be very helpful to your understanding the content of each session. \\n\\nThe first is a textbook, Global Health 101, third edition. This is a comprehensive introductory textbook that closely follows the content of this Essentials of Global Health course. We have indicated for each session what part of the book you should read. Using this textbook can be very valuable to your mastering the content of the course.\\n\\nThe second set of “recommended readings” is some additional readings, mostly from journal articles and reports. For these, too, we have indicated how carefully you should read the material and on what parts of the material you should focus your attention.\\n\\nLearners should note that to access articles from The Lancet they will have to register with the Lancet, if they do not have online access to a library that has The Lancet. Once they are registered, they will be able to sign into The Lancet and access all of its free articles.\\n\\nWe have also indicated for most sessions one or two videos that relate to the topic of the session. These are meant to help the learner get a better feel for the topic which is being covered. Most learners will find the videos brief, easy and enjoyable to watch, and very enlightening.","prevention-programs; risk-factor; prevention; risk; health-economics; public-health; global; disease; adolescent-health; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.5,120.5]","NA","English","life-sciences","public-health","LD8hNEdxEeaDoBKORUcroQ"]
["2. Upskill","Public Health: Global Health","Confronting Gender Based Violence: Global Lessons for Healthcare Workers","Johns Hopkins University","Intermediate",38.5,4.79,"https://www.coursera.org/learn/gender-based-violence","This course introduces participants from the healthcare sector to gender based violence (GBV), including global epidemiology of GBV; health outcomes; seminal research; and clinical best practices for GBV prevention, support, and management. A core curriculum is supplemented by lectures that contextualize the content with specific examples and programs from around the world. The core curriculum introduces learners to a global perspective on gender based violence (GBV), and includes a review with Dr. Claudia Garcia-Moreno of the new WHO guidelines on responding to violence. Students who wish to receive Honors Recognition will complete the honors module, which expands on the core material and highlights special circumstances and programs. \\n\\nThis is an in-depth course with 2 components: \\n1) Core curriculum introduces GBV from a global perspective, with an emphasis on ensuring a strong health sector response to GBV and teaching key competencies for social workers, physicians, nurses, midwives, community health workers, counselors, and other healthcare workers. Completion of the core content is required for students to pass the course. \\n2) Honors curriculum offered by experts from around the world helps students dive deeper into certain issues, and touches on unique populations and specialized topics. Completion of Honors curriculum is required for those students who wish to receive a Certificate of Accomplishment with Honors.\\n\\nAfter taking the course, students will be able to:\\n●\\tDescribe the global epidemiology of leading forms of GBV and the evidence linking GBV to poor health.\\n●\\tArticulate the challenges, strategies, and WHO guidelines for integrating GBV response within the health sector. \\n●\\tDescribe the components of a comprehensive clinical assessment, treatment, and management of a GBV survivor.\\n●\\tDescribe the appropriate psychosocial support and management of a GBV survivor.\\n\\nModule 1 – Introduction to GBV- Epidemiology and Health Impact\\nGBV comes in a variety of forms, each with health consequences for the survivor. An understanding of these issues helps inform a comprehensive and multi-sectorial response for preventing and responding to GBV. \\n\\nModule 2 – Health Care Response, Screening, and Psychosocial Support\\nRecognition of health impacts of GBV has led to calls to address GBV within the health sector. Support for GBV survivors extends beyond clinical exam and assessment. Safety planning, harm reduction, and access to psychosocial support must be ensured. \\n\\nModule 3 – Clinical Care for GBV Survivors\\nCaring for GBV survivors requires compassionate, confidential, and nondiscriminatory clinical assessment. Competent medical and forensic examination, along with appropriate documentation, is essential.\\n\\nHonors Module – In-Depth Information and Special Topics\\nThis module provides additional materials for those who wish to explore specialized topics and gain a more advanced grasp of the complexities of addressing gender-based violence. Core course topics are expanded upon, and special populations and programs are highlighted. Special topics include violence in humanitarian settings, against adolescents and sex workers, and human trafficking. Further information is provided on epidemiology, policy, and ethical guidelines, as well as the use of mHealth in GBV screening and care. We’ll cover the unique challenges of GBV research, and explore programs that encourage men and boys to be engaged in the prevention of violence against women. \\n\\nAcknowledgments\\nThis course is a project of the Johns Hopkins Center for Clinical Global Health Education.  We would like to gratefully acknowledge the following collaborators:\\n\\n●\\tCentre for Enquiry into Health and Allied Themes (CEHAT)\\n●\\tInternational Center for Research on Women's (ICRW) Asia Regional Office\\n●\\tCenter on Gender Equity and Health at University of California, San Diego\\n●\\tDivision of Global Public Health at University of California, San Diego\\n●\\tWorld Health Organization\\n●\\tRTI International\\n●\\tSwayam\\n●\\tJohns Hopkins Bloomberg School of Public Health, Center for Public Health and Human Rights\\n●\\tJohns Hopkins Bloomberg School of Public Health, Department of Population, Family & Reproductive Health\\n●\\tJohns Hopkins School of Nursing\\n\\nThis course is made possible through the generosity of the Ujala Foundation, the Vijay & Marie Goradia Charitable Foundation, and the Wyncote Foundation.","forensic psychology; hiv/aids; counseling psychology; social work; domestic violence; Child Psychology; violence; gender inequality; women's health; sexual violence","Non Specialization","Non Specialization","Non Specialization","Non Specialization","13, 60","None","English","life-sciences","public-health","6Ot9qdTjEeWvEArBkQ8C9Q","[NULL]"]
["2. Upskill","Public Health: Global Health","Global Health Security, Solidarity and Sustainability through the International Health Regulations","University of Geneva","Intermediate",17.5,4.78,"https://www.coursera.org/learn/international-health-regulations","Welcome to the MOOC \"Global Health Security, Solidarity and Sustainability through the International Health Regulations\". \\nWe are very excited to have you on board and hope you will enjoy the course!\\n\\nIn the coming 6 weeks, you will learn about the International Health Regulations (IHR), history of its creation and evolution, its major principles and implementation procedures, as well as challenges and future opportunities. We will talk about lessons learned from the previous epidemics and environmental disasters, and discuss possible future health threats and ways to respond to them in an efficient and timely manner. The goal of this MOOC is not only to promote knowledge on the IHR among the general public but also to help international health practitioners advance its implementation, contributing to the achievement of Sustainable Development Goals. \\n\\nOur MOOC «Global Health Security, Solidarity and Sustainability through the International Health Regulations» is highly transdisciplinary and involves prominent experts from more than 15 leading institutions worldwide, including academia, international organizations, and local governments. Along with traditional e-learning resources, it gives access to a highly innovative teaching tool - virtual Simulator IHR 3.0 - a serious game where you can practice managing health crises from different perspectives. No matter which country you come from, this MOOC is free and open for anyone interested in learning more about such a powerful legal mechanism as the IHR.\\n\\nEvery week, you will get access to a new Module which includes a series of video lectures, accompanied by a list of recommended readings to deepen your knowledge on the proposed topic. Every module will have a number of practice exercises, such as in-video questions and practice quizzes based on the video lectures and readings, and a graded quiz to sum up everything that you've learned. At the end of the course, you will be asked to take a graded final quiz that you will need to complete (as well as each Module's graded quizzes) in order to pass the course and earn a Certificate if you chose this option at enrolment.\\n\\nWe encourage you to use Discussion Prompts and forums to discuss the course material with fellow students enrolled in the MOOC. You can greatly contribute to the learning process by posting your questions, commenting, or sharing your personal experiences and examples from your countries.\\n\\nThis MOOC was produced jointly by the University of Geneva (Switzerland), Centre Virchow-Villermé for Public Health Paris-Berlin, Université Paris Descartes (France) and ANEO in close collaboration with the World Health Organization Headquarters (Geneva, Switzerland) and WHO Regional Office for the Eastern Mediterranean (Cairo, Egypt), with the financial aid of the Agence Nationale de la Recherche (France), UNIGE and WHO.\\n\\nWe wish you good luck with the MOOC and look forward to seeing you in our learning community!","epidemic; international law; sustainability; law; Environmental Law; international relations; public health; health law; public health law; international health regulations","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44131.0,"None","English","life-sciences","public-health","0Nl3TFCWEemZQg5AxGAtVg","[NULL]"]
["2. Upskill","Public Health: Global Health","Non-Communicable Diseases in Humanitarian Settings","University of Copenhagen","Intermediate",11.4,4.82,"https://www.coursera.org/learn/non-communicable-diseases-in-humanitarian-settings","NCDs are the leading cause of death in almost every region of the world, and place a huge burden on individuals, families and societies. Humanitarian settings have a negative effect on the levels of disease, and the possibility of treatment. The importance of NCDs in global health is acknowledged by their inclusion in the Sustainable Development Goals, which call for a reduction of a third in premature mortality from NCDs by 2030. However, NCDs have until recently received little attention in humanitarian settings, leaving prevention, care and treatment needs largely unaddressed among some of the most vulnerable populations. According to the World Health Organization, 70 percent of global deaths are due to NCDs. The four main disease groups which cause the greatest number of deaths are cardiovascular disease, cancer, diabetes and chronic obstructive pulmonary disease (including asthma).\\n\\nThe course will provide knowledge about issues and dilemmas that occur around NCDs in humanitarian settings and possible solutions.  \\n\\nWhy are NCDs a problem in humanitarian emergencies or crises? Natural disasters and complex emergencies, including armed conflict, have a negative effect on the levels of disease, and on the possibilities for preventing, treating and caring for people with NCDs. People living with NCDs often need continuous care to avoid disease progression, and disrupted treatment due to natural disaster or emergencies pose a large health challenge. In conflict situations and fragile contexts, the challenge of disrupted care and treatment may be exacerbated – an estimated 65 million people have been forcibly displaced by conflict, displacement lasts longer, and at times health systems and health personnel are deliberately targeted.","humanitarian; lecture; python software foundation; core python programming; double burden; jython; non-communicable disease; management; learning; chronic pain","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43904.0,"None","English","life-sciences","public-health","0m0BGLW_EeiltQrMgsfOHg","[NULL]"]
["2. Upskill","Public Health: Global Health","Childbirth: A Global Perspective","Emory University","Intermediate",14.2,4.78,"https://www.coursera.org/learn/childbirth","This course will review challenges for maternal and newborn health in the developing world, where a great many women and babies are suffering from complications during pregnancy, childbirth, and the days following birth. Themes covered include the epidemiology of maternal and newborn mortality and morbidity, relevant issues for the global health workforce, community-based interventions to improve maternal and newborn health and survival, and sociocultural dynamics surrounding birth.\\n\\nThis course provides a broad overview of maternal and newborn health issues facing low-income and transitional countries, where more than 2.6 million babies are stillborn and nearly 500,000 women die during childbirth or from pregnancy-related complications each year. In the developing world, many women deliver at home without a skilled care provider, drugs, or technological supports. Maternal and newborn survival can be improved by mobilizing communities and improving access to skilled care.\\n\\nThrough lectures, case studies and readings, course participants will learn about delivery challenges for maternal and newborn health services and how to utilize community-based strategies to improve the health and survival of mothers and babies.","bible; midwifery; women's health; community health; childbirth; eclampsia; maternal health; obstetrics; nursing; pregnancy","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44059.0,"None","English","life-sciences","public-health","LTW4CnQjEeSrZyIACzcE9w","[NULL]"]
["2. Upskill","Public Health: Infectious Disease Modeling","Developing the SIR Model","Imperial College London","Intermediate",9.2,5.0,"https://www.coursera.org/learn/developing-the-sir-model","Compartmental modelling is a cornerstone of mathematical modelling of infectious diseases and this course will introduce  some  of  the  basic  concepts  in  building  compartmental  models, including how to interpret and represent rates, durations and proportions. You'll learn to place the mathematics to one side and concentrate on gaining intuition into the behaviour of a simple epidemic, and be introduced to further basic concepts of infectious disease epidemiology, such as the  basic reproduction number (R0) and its implications for infectious disease dynamics. To express the mathematical  underpinnings of the  basic drivers that you study, you'll use the simple SIR model, which, in turn, will help you examine different scenarios for reproduction numbers. Susceptibility to infection is the fuel for an infectious  disease, so understanding  the dynamics of susceptibility can offer important insights into epidemic dynamics, as well as priorities for control.","infection control","Infectious Disease Modelling",1.0,"https://www.coursera.org/specializations/infectious-disease-modelling","Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today.\\n\\nThe specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R.",43962.0,"None","English","life-sciences","public-health","FDsIaaCeEeiJEA5ThbYkCA","E9pKjKCeEeixlg5fiZTWeA"]
["2. Upskill","Public Health: Infectious Disease Modeling","Interventions and Calibration","Imperial College London","Intermediate",8.7,"[NULL]","https://www.coursera.org/learn/interventions-and-calibration","This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Performing such a calibration by hand will help you gain an understanding of how model parameters can be adjusted in order to capture real-world data. Lastly in this course, you will learn about two simple approaches to computer-based model calibration - the least-squares approach and the maximum-likelihood approach; you will perform model calibrations under each of these approaches in R.","acceptance testing; model transformation; t-model; dose response relationship; hypodermic needle model; abs methods; population models; accelerated aging; compartmental models in epidemiology; ace model","Infectious Disease Modelling",2.0,"https://www.coursera.org/specializations/infectious-disease-modelling","Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today.\\n\\nThe specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R.",43961.0,"None","English","life-sciences","public-health","Q7tiH6CiEeiTHQqmhTjSDA","E9pKjKCeEeixlg5fiZTWeA"]
["2. Upskill","Public Health: Infectious Disease Modeling","Building on the SIR Model","Imperial College London","Intermediate",9.2,"[NULL]","https://www.coursera.org/learn/building-on-the-sir-model","The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases – especially in the early stages of an epidemic – where chance events can be influential in the future of an epidemic. So, you'll be introduced to some examples of such ‘stochasticity’, as well as simple approaches to modelling these epidemics using R. You will examine how to model infections for which such ‘population structure’ plays an important role in the transmission dynamics, and will learn some of the basic approaches to modelling vector-borne diseases, including the Ross-McDonald Model. \\n\\nEven if you are not designing and simulating mathematical models in future, it is important to be able to critically assess a model so as to appreciate its strengths and weaknesses, and identify how it could be improved. One way of gaining this skill is to conduct a critical peer review of a modelling study as a reviewer, which is an opportunity you'll get by taking this course.","complex contagion; idealised population; population dynamics; failure cause; accelerated aging; locus of control; intraspecific competition; critical period; ace model; developmental stages","Infectious Disease Modelling",3.0,"https://www.coursera.org/specializations/infectious-disease-modelling","Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today.\\n\\nThe specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R.",43962.0,"None","English","life-sciences","public-health","ZCk7nKCiEeiMLxLa-jTn0A","E9pKjKCeEeixlg5fiZTWeA"]
["2. Upskill","Safety and Quality","Quality Improvement in Healthcare Organizations","Rutgers the State University of New Jersey","Beginner",6.8,4.59,"https://www.coursera.org/learn/quality-improvement-in-healthcare-organizations","Have you ever though that healthcare quality could be improved - either where you get health care treatment or where you delivery health care?  Have you ever thought that there should be a way for you to determine the relative quality of your choices? Have you found yourself thinking that there should be a way for you to provide your view and input on the quality of healthcare organization? Or do you work in a healthcare organization and find yourself thinking that there must be better ways to continuously and systematically improve the quality of your healthcare organization? If you have, this course is for you.\\n\\nCourse content includes an overview of quality and quality improvement programs, measures, and data in healthcare organizations.  The course provides links to external sites to connect you to the larger \"real world\" of healthcare organization quality and quality improvement. The links also serve as resources you can take with you after you complete the course experience. And because everyone loves a road trip/field trip, there are also \"virtual field trips\" to the often hidden places of interest on the web. \\n\\nThe course format is readings, videos, quizzes, and a project.  The project requires you to synthesize course material to design a quality improvement program for a healthcare organization the way you would have things run in the best of all worlds. The design (submitted as an electronic spreadsheet) is an artifact of the course which you can circulate to colleagues or use as the basis for talks or presentations.","operations-management; operations-research; persuasion; healthcare-quality; decision-making","Healthcare Organization Operations",4.0,"https://www.coursera.org/specializations/healthcare-organization-operations","The healthcare tetralogy specialization is intended for anyone interested in healthcare organization as practiced in the United States. A range of healthcare organizations are discussed (e.g., medical, dental, pharmaceutical, and public health). The specialization is particularly useful to anyone working in the healthcare industry who either has: 1) a developing interest in the issues important to the administration of healthcare organization operations; or 2) some expertise, but wishes an overview or refresher of the issues. However, those who do not work in the healthcare industry, but who interact with healthcare organizations of any type as patients/consumers will also find the specialization informative. Through the four courses in the specialization, you will cover many aspects of healthcare organization operations including the relationship between healthcare organizations and the health system as well as health care delivery, business process management, and quality improvement within healthcare organizations. Upon completion of the specialization, those who interact with healthcare organizations as patients/consumers will have a better understanding of the issues involved in the effective administration of healthcare organizations and operations. Those working in the healthcare industry, upon completion of the specialization, will be better able to contribute to the effective administration of the healthcare organization’s operations.","[3.4,8.2]","NA","English","life-sciences","healthcare-management","L3X8IkwMEeiEvA6L-SRtXg"]
["2. Upskill","Safety and Quality","Evaluating the Quality of Healthcare Delivery","Northeastern University","Beginner",10.4,4.25,"https://www.coursera.org/learn/quality-of-healthcare","In this course, you will have the opportunity to learn about the great progress that has been made in measuring and evaluating quality of care.  We will discuss key concepts and methods.  You will also learn about how to use websites for comparing the quality of healthcare providers.  The course content is intended for a wide range of participants – for example, people who have a general interest in quality of care, consumers seeking information about how to choose a provider for themselves or family members, or leaders of business organizations who are responsible for employee health insurance benefits and network of providers.\\n\\nBy the end of this course, the learner should be able to: \\n\\n1. Explain key developments regarding how quality of care is measured and evaluated in the US.\\n2. Articulate basic framework for evaluating quality of outcomes of care including types of and criteria for selecting quality measures for evaluating and comparing providers. \\n3. Discuss scientific issues and challenges for evaluating quality of care and methods for addressing these challenges.   \\n4. Identify and apply resources and tools for comparing the quality of care of providers.","marketing","Healthcare Trends for Business Professionals",3.0,"https://www.coursera.org/specializations/healthcare-trends-business-professionals","This Specialization will provide learners with the knowledge and skills to recognize key shifts in the industry and to have an agile perspective on how these shifts might impact their organizations. Learners will be exposed to the key drivers in the global healthcare industry today so they might apply what they have learned to help their organizations.","[5.7,13.5]","NA","English","life-sciences","healthcare-management","MLa6DInZEei6ZQqbYa_cGA"]
["2. Upskill","Safety and Quality","High Level Biocontainment for Healthcare Facilities","University of Nebraska","Intermediate",20.0,4.62,"https://www.coursera.org/learn/biocontainment","The goal of this 4-week course is to equip learners to safely care for a patient infected with a pathogen requiring high-level biocontainment.  This can be accomplished in any healthcare facility given the correct approach and protocols.\\n\\nPlease copy and paste the following link into a new tab/browser to view the video overview of our course.  http://bit.ly/2bPZ6Cz \\n\\nIn this course, we will:\\n  1.  Discuss the essentials of intake screening.\\n  2.  Investigate pathogen transmission characteristics and the chain of infection.\\n  3.  Examine patient placement in a facility, as well as the engineering/ administrative controls. \\n  4.  Review personal protective equipment worn by the care providers.\\n  5.  Evaluate waste management and decontamination protocols.\\n\\n\\nWe look forward to exploring and learning with you!\\nDr. Medcalf and University of Nebraska Medical Center Team\\n\\n\\nThis project was funded by the Nebraska Department of Health and Human Services, Division of Public Health","pediatrics; medical laboratory; autoclave; biosafety; learning; infection control; health; communication; biocontainment; infectious diseases","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44010.0,"None","English","life-sciences","public-health","ttA3QVfJEeWT8xIUiEQHHQ","[NULL]"]
["2. Upskill","Safety and Quality","Leading Healthcare Quality and Safety","The George Washington University","Intermediate",11.0,4.77,"https://www.coursera.org/learn/quality-healthcare","Ensuring patient safety and healthcare quality is critical and should be a key focus of everyone in healthcare practice. This course provides healthcare practitioners and others with an introduction to the knowledge and skills needed to lead patient safety and quality improvement initiatives at the micro and macro levels. Participants will explore the foundations of health care quality and the science underlying patient safety and quality improvement, design and select effective health care measures, analyze patient safety problems and processes using tools such as human factors analysis, apply systematic approaches including the Plan-Do-Study-Act (PDSA) model to address quality improvement challenges, and learn strategies to lead a culture of change. The course takes a world view of patient safety and quality, linking participants to research and resources from the World Health Organization (WHO), the US Agency for Healthcare Research and Quality (AHRQ), the Joint Commission and other international organizations. Course highlights include personal stories, lessons learned from other industries and interviews with the President of the National Committee for Quality Assurance (NCQA) and other leaders in quality movement.\\n\\n\\nAbout The George Washington University School of Nursing\\n\\nRanked among the top nursing schools by U.S. News & World Report, the George Washington University School of Nursing educates and inspires nurses to provide high-quality, compassionate person-centered health care. The school develops leaders actively engaged in health promotion, patient advocacy and healthcare innovation, and prepares exceptional nurse educators who pursue quality and advance the profession. The School of Nursing is committed to improving the health and wellbeing of people and communities locally, nationally and globally. The school values lifelong learning and its students advance nursing practice, leadership and education as they make a difference in the world.","patient; healthcare-quality; leadership; process; safety; health-care; patient-safety; measurement; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.4,13]","NA","English","life-sciences","healthcare-management","_x5PFcBuEeWySg4SKer18Q"]
["2. Upskill","Safety and Quality","Take the Lead on Healthcare Quality Improvement","Case Western Reserve University","Beginner",52.3,4.32,"https://www.coursera.org/learn/hcqualityimprovement","In this course you will learn about the importance of quality in healthcare and how you can contribute by implementing a quality improvement (QI) project to improve processes of care and patient outcomes. You will learn about powerful  tools to add to your QI  ‘toolbox’ during short lectures and reflective exercises. You will apply these tools to the implementation of a QI project in your own practice setting or an area of personal improvement. At the completion of the course, you will have a storyboard that captures your QI project success to share with others.\\n\\nThe QI project will be considered within the context of interprofessional teams and from a systems perspective.  The objective of this course is to empower you, the working healthcare professional, to improve your knowledge and skills in the science of quality improvement so that you can take action in your own clinical setting to improve the quality of care for your patients and their families.","psychology; patient; health-and-social-care; chart; total-quality-management; psychologies; process-improvement; analysis; leadership; root","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.2,80.7]","NA","English","personal-development","personal-development","ex6zqWw6EeSBviIAC4cMmw"]
["2. Upskill","Safety and Quality","Patient Safety and Quality Improvement: Developing a Systems View (Patient Safety I)","Johns Hopkins University","Beginner",8.0,4.81,"https://www.coursera.org/learn/patient-safety-systems-view","In this course, you will be able develop a systems view for patient safety and quality improvement in healthcare.  By then end of this course, you will be able to: 1) Describe a minimum of four key events in the history of patient safety and quality improvement, 2) define the key characteristics of high reliability organizations, and 3) explain the benefits of having strategies for both proactive and reactive systems thinking.","patient; problem-solving; patient-care; safety; proactivity; patient-safety; thought; comprehensive-unit-based-safety-program-cusp-toolkit; systems-thinking; error","Patient Safety",1.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[3.5,10.4]","NA","English","life-sciences","healthcare-management","9IFvYGx7EeeLuxKawECaMg"]
["2. Upskill","Safety and Quality","Setting the Stage for Success: An Eye on Safety Culture and Teamwork (Patient Safety II)","Johns Hopkins University","Intermediate",11.4,4.77,"https://www.coursera.org/learn/patient-safety-culture","Safety culture is a facet of organizational culture that captures attitudes, beliefs, perceptions, and values about safety.  A culture of safety is essential in high reliability organizations and is a critical mechanism for the delivery of safe and high-quality care.  It requires a strong commitment from leadership and staff.  In this course, a safe culture is promoted through the use of identifying and reporting patient safety hazards, accountability and transparency, involvement with patients and families, and effective teamwork.","learning; patient-care; safety-culture; comprehensive-unit-based-safety-program-cusp-toolkit; safety; patient-safety; patient; leadership; communication; measurement","Patient Safety",2.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[5.8,15.7]","NA","English","life-sciences","healthcare-management","Rf7lg3xQEeeM4grXmQ48dg"]
["2. Upskill","Safety and Quality","Planning a Patient Safety or Quality Improvement Project (Patient Safety III)","Johns Hopkins University","Intermediate",12.2,4.72,"https://www.coursera.org/learn/patient-safety-project-planning","This course provides students with a set of tools and methodologies to plan and initiate a Problem Solving or Quality Improvement project.  The first module presents methods for selecting, scoping and structuring a project before it is even initiated. It also introduces the project classifications of implementation and discovery. The second module describes the A3 problem solving methodology and the tool itself. Further in that same module, the student is shown tools to identify problems in flow, defects, and waste and to discover causes, brainstorm, and prioritize interventions. Module 3 shows a methodology within the implementation class. These methods are designed to overcome emotional and organizational barriers to translating evidence-based interventions into practice.  The fourth and last module looks at one more way to approach improvement projects in the discovery class.  These tools are specifically for new, out-of-the-box design thinking.","a3-problem-solving; project; problem-solving; modeling; project-management; design-thinking; critical-thinking; peer-review; management; peering","Patient Safety",3.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[7.2,13.1]","NA","English","life-sciences","healthcare-management","Z6YpTXxQEeetPBIrxoVF_A"]
["2. Upskill","Safety and Quality","Designing for Sustainment: Keeping Improvement Work on Track (Patient Safety IV)","Johns Hopkins University","Intermediate",13.8,4.39,"https://www.coursera.org/learn/patient-safety-sustainment","Keeping patient safety and quality improvement projects on track, on time, and on budget is critical to ensuring their success. In this course, students will be introduced and given the opportunity to apply a series of tools to guide and manage patient safety and quality initiatives. These include tools for defining what success looks like, developing a change management plan, and conducting a pre-mortem to identify risks for project failure.  This course will also provide tools for engaging stakeholders to ensure key players are invested in your project’s success.","patient-safety; risk; integration-testing","Patient Safety",4.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[9,18.5]","NA","English","life-sciences","patient-care","BJPOZ3xREeeBZAoxA8giLg"]
["2. Upskill","Safety and Quality","Implementing a Patient Safety or Quality Improvement Project (Patient Safety V)","Johns Hopkins University","Intermediate",14.9,4.56,"https://www.coursera.org/learn/patient-safety-implementation","Now that you’ve carefully planned your patient safety and quality improvement project, the real work can begin. This course will introduce students to the unique challenges encountered when implementing, maintaining, and expanding a patient safety and quality initiative. Students will learn to apply lessons learned from the 4 E model and TRiP into developing specific aims for their QI project. Additionally, students will develop a plan to address the adaptive and technical challenges in their projects including whether their initiative needs to be submitted to an Institutional Review Board (IRB). Finally, students will develop plans to grow their local QI project into a system-wide project.","patient-safety; comprehensive-unit-based-safety-program-cusp-toolkit; safety","Patient Safety",5.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[8.7,21.5]","NA","English","life-sciences","healthcare-management","H8K6ynxREeeBZAoxA8giLg"]
["2. Upskill","Safety and Quality","Measuring the Success of a Patient Safety or Quality Improvement Project (Patient Safety VI)","Johns Hopkins University","Intermediate",11.6,4.54,"https://www.coursera.org/learn/patient-safety-measurement","How will you know if your patient safety and quality project is meeting its objectives? Peter Drucker once said “What gets measured, gets managed.” In this course, students will learn why measurement is critical to quality improvement work. Equally important, they will learn which data sources provide the most meaningful information and tools for how and where to locate them. Finally, students will learn how to interpret data from their patient safety and quality projects to guide and modify them during implementation to maximize their chances of making a difference for patients.","infection-control","Patient Safety",6.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.","[5.9,16.5]","NA","English","life-sciences","healthcare-management","Pm5KWnxREeeo9AoHTbC3Wg"]
["2. Upskill","Safety and Quality","Taking Safety and Quality Improvement Work to the Next Level (Patient Safety VII)","Johns Hopkins University","Intermediate",11.5,4.03,"https://www.coursera.org/learn/patient-safety-capstone","In this culminating course in the Patient Safety and Quality Improvement Specialization, you will apply the skills you have acquired across the previous six courses to address a realistic patient safety issue confronting Mercy Grace, a 500-bed urban hospital that is part of a larger hospital system. Based on the scenario provided, you will assess the situation and work through the problem using a variety of tools and strategies.  You will have the opportunity to identify defects, root causes, and potential mitigation strategies; you will create a project implementation plan for addressing the issue in the form of an A3; you will identify risks of project failure and design a change management plan; you will identify means of converting the project from local to system-wide; and you will identify quality and safety measurements that will be used in evaluating the success of the project’s implementation.","Framing; instart logic; healthcare quality; Competency Based Training; patient safety; co-teaching; infection control; Audit Experience; career guide; project","Patient Safety",7.0,"https://www.coursera.org/specializations/patient-safety","Preventable patient harms, including medical errors and healthcare-associated complications, are a global public health threat. Moreover, patients frequently do not receive treatments and interventions known to improve their outcomes. These shortcomings typically result not from individual clinicians’ mistakes, but from systemic problems -- communication breakdowns, poor teamwork, and poorly designed care processes, to name a few.\\n\\nThe Patient Safety & Quality Leadership Specialization covers the concepts and methodologies used in process improvement within healthcare. Successful participants will develop a system’s view of safety and quality challenges and will learn strategies for improving culture, enhancing teamwork, managing change and measuring success. They will also lead all aspects of a patient safety and/or quality improvement project, applying the methods described over the seven courses in the specialization.",43965.0,"None","English","life-sciences","patient-care","V_MwPXxREeeo9AoHTbC3Wg","9FcEl2x7EeeiKQ48uoMEhg"]
["2. Upskill","School Health","Managing Asthma, Allergies, Diabetes, and Seizures in School","University of Colorado System","Intermediate",5.4,4.9,"https://www.coursera.org/learn/managing-asthma-allergies-diabetes-and-seizures-in-school","Welcome to School Health specialization: Managing Asthma, Anaphylaxis, Food Allergies, Diabetes, and Seizures in School course. In this course, you will learn about these common medical issues students face and how to best support students who suffer from them. We will also take a holistic look at how we can best support overall student health.\\nWe will take a look at how the school nurse provides support to students and staff in each scenario and how to plan ahead in the event of an emergency.\\nWe will walk through the reasons that schools should promote student health and how we can support students that face these common medical conditions \\n\\nAs part of the course, we will introduce two students to help all of this information come alive. Prepare yourself to learn about these common medical conditions. Let’s get started!","child; occupational therapy; anaphylaxis; autism; diabetes; Special Education; asthma; emergency medicine; Child Psychology; autism spectrum disorder","School Health for Children and Adolescents",1.0,"https://www.coursera.org/specializations/school-health-for-children-and-adolescents","Children and adolescents spend so much of their time in school regardless of where they live in the world. Health and learning are closely connected in the school setting, where good health and healthy practices create the optimal conditions for students’ academic success. And the contrary is also true: poor heath and unhealthy practices build tall barriers to student learning.\\n\\nThe courses of this specialization are designed to equip learners to manage common health conditions including asthma, allergies, diabetes, and seizures. Next they will learn to manage common behavior conditions such as ADHD and autism as well as learning disabilities and concussion. Upon completion of the specialization, learners will be ready to apply newly acquired skills in the provision of social, emotional, behavioral, and special education services. Importantly, they will also be ready to promote healthy practices such as nutrition, physical activity, and community and family participation in their own school community.\\n\\nIn pediatric healthcare we do everything possible to ensure the health of children and adolescents but there can be no greater impact on a child’s health than receiving optimal health condition management and healthy practices in school.",43867.0,"None","English","life-sciences","patient-care","-OuC-WBZEeikBxJToUw3hA","-KS2fmBZEeisuQ4PU38rnA"]
["2. Upskill","School Health","Managing ADHD, Autism, Learning Disabilities, and Concussion in School","University of Colorado System","Intermediate",5.1,4.83,"https://www.coursera.org/learn/managing-adhd-autism-learning-disabilities-and-concussion-in-school","Welcome to our next course in the School Health specialization: Managing ADHD, Autism, Learning Disabilities, and Concussion in School. In this course, you will about the most common developmental and behavioral disorders affecting children such as ADHD, autism spectrum disorder, learning disorders, and concussions. We will focus on how schools can support children by recognizing common symptoms and understanding the diagnosis process.\\n\\nYou’ll be introduced to scenarios that provide firsthand clinician experience working with children with ADHD. We will walk through management options for the most common developmental and behavioral disorders. Next, we’ll go through two interview modules that discuss autism and learning disorders. Finally, we’ll discuss what concussions are, symptoms, and management\\n\\nPrepare yourself to learn about the most common development and behavioral disorders affecting children.","attention deficit hyperactivity disorder; learning; autism; Special Education; neuropsychology; concussion; occupational therapy; Child Psychology; autism spectrum disorder; learning disabilities","School Health for Children and Adolescents",2.0,"https://www.coursera.org/specializations/school-health-for-children-and-adolescents","Children and adolescents spend so much of their time in school regardless of where they live in the world. Health and learning are closely connected in the school setting, where good health and healthy practices create the optimal conditions for students’ academic success. And the contrary is also true: poor heath and unhealthy practices build tall barriers to student learning.\\n\\nThe courses of this specialization are designed to equip learners to manage common health conditions including asthma, allergies, diabetes, and seizures. Next they will learn to manage common behavior conditions such as ADHD and autism as well as learning disabilities and concussion. Upon completion of the specialization, learners will be ready to apply newly acquired skills in the provision of social, emotional, behavioral, and special education services. Importantly, they will also be ready to promote healthy practices such as nutrition, physical activity, and community and family participation in their own school community.\\n\\nIn pediatric healthcare we do everything possible to ensure the health of children and adolescents but there can be no greater impact on a child’s health than receiving optimal health condition management and healthy practices in school.",43836.0,"None","English","life-sciences","patient-care","GPCKNtGGEeiXJAqhyc52XA","-KS2fmBZEeisuQ4PU38rnA"]
["2. Upskill","School Health","Providing Social, Emotional, Behavioral, and Special Education Services in School","University of Colorado System","Intermediate",5.3,4.89,"https://www.coursera.org/learn/providing-social-emotional-behavioral-and-special-education-services-in-school","Welcome to our the third course in the School Health specialization: Providing Social, Emotional, Behavioral, and Special Education Services in School. In this course, you will learn about how social-emotional skills, mental health, and learning are related. We will focus on how schools can support social-emotional learning and promote mental health for all students.\\n\\nWe will walk through the reasons that schools should promote student mental health. Next, we’ll review school wide activities to support skill development and prevent social, emotional, and behavioral challenges. Then, we’ll identify strategies for students at risk of developing problems. Finally, we’ll highlight interventions that can be used for students who have significant mental health needs. We will emphasize the ways that schools think about mental health problems and provide services for students with disabilities, which is different than in medical or mental health settings. \\n\\nAs part of the course, we will introduce two students to help all of this information come alive. Prepare yourself to learn about an essential piece of student wellness—social-emotional health.","social work; child; Child Psychology; Special Education; behavior management; behavior therapy; parenting; behavior; mental health; autism","School Health for Children and Adolescents",3.0,"https://www.coursera.org/specializations/school-health-for-children-and-adolescents","Children and adolescents spend so much of their time in school regardless of where they live in the world. Health and learning are closely connected in the school setting, where good health and healthy practices create the optimal conditions for students’ academic success. And the contrary is also true: poor heath and unhealthy practices build tall barriers to student learning.\\n\\nThe courses of this specialization are designed to equip learners to manage common health conditions including asthma, allergies, diabetes, and seizures. Next they will learn to manage common behavior conditions such as ADHD and autism as well as learning disabilities and concussion. Upon completion of the specialization, learners will be ready to apply newly acquired skills in the provision of social, emotional, behavioral, and special education services. Importantly, they will also be ready to promote healthy practices such as nutrition, physical activity, and community and family participation in their own school community.\\n\\nIn pediatric healthcare we do everything possible to ensure the health of children and adolescents but there can be no greater impact on a child’s health than receiving optimal health condition management and healthy practices in school.",43868.0,"None","English","life-sciences","public-health","JqEGX9GGEeitxQ70uNWGTA","-KS2fmBZEeisuQ4PU38rnA"]
["2. Upskill","Scientific Research","Metagenomics applied to surveillance of pathogens and antimicrobial resistance","Technical University of Denmark (DTU)","Advanced",21.3,4.7,"https://www.coursera.org/learn/metagenomics","The field of metagenomics and whole community sequencing is a promising area to unravel the content of microbial communities and their relationship to disease and antimicrobial resistance in the human population.  Bioinformatic tools are extremely important for making sense out of metagenomics data, by estimating the presence of pathogens and antimicrobial resistance determinants in complex samples. Combined with relevant explanatory data, metagenomics is a powerful tool for surveillance. \\n\\nIn this course, we teach about the potential of metagenomics for surveillance and give the learners an overview of the steps and considerations in a metagenomics study. After this course, the learners will know: \\n\\n- the difference between the concepts of metagenomics and other microbial genomics\\n- the need to use controls in different steps of a metagenomics study\\n- the advantages of metagenomics for the surveillance of antimicrobial resistance\\n- how sampling design, sample size, sample material and sample handling influence the outcome of a metagenomics study\\n- sample processing for bacterial and viral metagenomics\\n- different sequencing platforms and their possibilities regarding metagenomics\\n- the steps involved in a general metagenomics study, including quality control, mapping to different databases, and read count analysis\\n- the principles behind various tools available for analysis of metagenomics data\\n- how to interpret read classification results\\n- the need for epidemiology in surveillance\\n- the concept of global and integrated surveillance\\n- the challenges for the use of metagenomics in surveillance\\n- the potential of metagenomics for surveillance\\n\\nWe look forward to welcoming you !","antimicrobial; DNA; metagenomics; food science; omics; food microbiology; medical microbiology; bioinformatics; food safety; microbiology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",44196.0,"None","English","life-sciences","basic-science","G4wb8RkpEee_ohIr-lSnjA","[NULL]"]
["2. Upskill","Scientific Research","Biological Diversity (Theories, Measures and Data sampling techniques)","National Research Tomsk State University","Advanced",9.7,4.22,"https://www.coursera.org/learn/biological-diversity","The course presents an overview of the theory behind biological diversity evolution and dynamics and of methods for diversity calculation and estimation. We will become familiar with the major alpha, beta, and gamma diversity estimation techniques.\\n\\nUnderstanding how biodiversity evolved and is evolving on Earth and how to correctly use and interpret biodiversity data is important for all students interested in conservation biology and ecology, whether they pursue careers in academia or as policy makers and other professionals (students graduating from our programs do both). Academics need to be able to use the theories and indices correctly, whereas policy makers must be able to understand and interpret the conclusions offered by the academics.\\n\\nThe course has the following expectations and results:\\n\\n- covering the theoretical and practical issues involved in biodiversity theory,\\n- conducting surveys and inventories of biodiversity,\\n- analyzing the information gathered,\\n- and applying their analysis to ecological and conservation problems.\\n\\nNeeded Learner Background:\\n\\n- basics of Ecology and Calculus\\n- good understanding of English","species distribution; evolution; statistics; phylogenetic tree; population ecology; plankton net; biostatistics; ecology; biodiversity; conservation biology","Non Specialization","Non Specialization","Non Specialization","Non Specialization",43963.0,"None","English","life-sciences","basic-science","Nap1_eB0EeWHHAokaxVUhQ","[NULL]"]
["2. Upskill","Scientific Research","Medical Applications of Particle Accelerators (NPAP MOOC)","Lund University","Beginner",9.4,4.65,"https://www.coursera.org/learn/medical-applications-particle-accelerators","Hello and welcome to this course!\\n \\nThe NPAP - Medical Applications of Accelerators is one out of three courses in the Nordic Particle Accelerator Program (NPAP). Here you will be taken on a tour focusing on the medical applications of particle accelerators. You will see that there are two very important, but different, applications of accelerators in hospitals.  The first application concerns radiotherapy of tumours and the other concerns the production of medical nuclides for diagnosis and treatment. Both will be included in this course and described through four modules.\\n \\nThe first module offers the basic principles of radiotherapy from a medical and physics point of view. You there learn about the main components of the machines used for radiotherapy and get to know why radiotherapy is important for cancer treatments.\\n \\nThe second module guides you through the different types of linear accelerators used in the machines for radiotherapy. It also describes the design of the treatment head. The design is important because it is the settings of the treatment head that determines the dose and the radiated region. It is also in the treatment head where the dose given to the patient is measured.\\n \\nIn the third module you are introduced to proton therapy. In this type of therapy protons are first accelerated and then guided down to the tumour by magnets. The machines are considerably larger and more expensive than machines used for radio therapy. The module also offers a description and comparison between different types of accelerators, and explains how the protons interact with tissue. \\n \\nAlso ions that are heavier than protons can be used in cancer therapy. This is described in the fourth module, where we also introduce you to the production of medical nuclides. You learn how the nuclides are produces in proton and ion accelerators and how the nuclides come into play at different places in hospitals. Medical nuclides are for  instance used in Positron Electron Tomography, PET.\\n\\nEnjoy!","cancer; medical-physics; medicine; nuclear-medicine; radiology; treatment-of-cancer; tomography; physics; cancer-research; therapy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.8,12.4]","Spanish","English","life-sciences","research","ObLjuZqyEeakABJ61gAZMA"]
["2. Upskill","Scientific Research","Whole genome sequencing of bacterial genomes - tools and applications","Technical University of Denmark (DTU)","Beginner",12.6,4.46,"https://www.coursera.org/learn/wgs-bacteria","This course will cover the topic of  Whole genome sequencing (WGS)  of bacterial genomes which is becoming more and more relevant for the medical sector.  WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. The course will give the learners a basis to understand and be acquainted with WGS applications in surveillance of bacteria including species identification, typing and characterization of antimicrobial resistance and virulence traits as well as plasmid characterization. It will also give the opportunity to learners to learn about online tools and what they can be used for through demonstrations on how to use some of these tools and exercises to be solved by learners with use of freely available WGS analysis tools .\\n\\nBy the end of this course you should be able to:\\n\\n1. Describe the general Principles in typing of Bacteria \\n2. Give examples of the applications of Whole Genome Sequencing to Surveillance of bacterial pathogens and antimicrobial resistance \\n3. Apply genomic tools for sub-typing and surveillance\\n4. Define the concept of Next-Generation Sequencing and describe the sequencing data from NGS\\n5. Describe how to do de novo assembly from raw reads to contigs\\n6. Enumerate the methods behind the tools for species identification, MLST typing and resistance gene detection\\n7. Apply the tools for species identification, MLST typing and resistance gene detection in real cases of other bacterial and pathogen genomes.\\n8. Describe the methods behind the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing\\n9. Utilize the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing in real cases of other bacterial and pathogen genomes.\\n10. Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data\\n11. Demonstrate how to construct phylogenetic tree based on SNPs\\n12. Apply the phylogenetic tool to construct phylogenetic trees and explain the relatedness of bacterial or pathogen strains\\n13. Describe how to create your own sequence database\\n14. Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing","antimicrobial; whole-genome-sequencing; plasmid; gene; genome; species; microbiology; genomics; bioinformatics; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,16.4]","NA","English","life-sciences","research","lO5va7h_EeayqhK4SOTn7g"]
["2. Upskill","Scientific Research","Extracellular Vesicles in Health and Disease","University of California, Irvine","Intermediate",14.2,4.78,"https://www.coursera.org/learn/extracellular-vesicles-health-disease","This course aims to provide current understanding about extracellular vesicles (EVs) and their role in health and diseases. The EVs are known to be involved in cell to cell communication. Apart from maintaining normal cell physiology, EVs deliver messages that can drive or influence the progression of a disease. This course discusses recent advances made in the field to give an introduction on their function in health as well as in disease.This course includes four modules. Module 1 is an introduction to the course, and provides an overview of the previous MOOC on EVs “Basics of Extracellular Vesicles”. Module 2 focuses on the role of EVs in physiological conditions and gives various examples on their role in metabolism, inflammation, immunity and pregnancy and coagulation. This module also briefly covers the topic of microorganism-derived EVs such as  vesicles from bacteria and discusses EVs from apoptotic and senescent cells. In Module 3, we focus on the role of EVs in cancer: how EVs can mediate communication between the tumour and its microenvironment, the functional role of immune cell-derived EVs in development of cancer, as well as the role of EVs in cancer cell proliferation, survival, metastasis and drug resistance. In Module 4, the role of EVs in diseases of the cardiovascular, haematopoietic, nervous, respiratory and urinary systems, and infectious diseases will be presented.This course is recommended for intermediate learners or anyone who is interested in the field of extracellular vesicles and their role in a particular disease including scientists, clinicians, or cell and molecular biologists who look to broaden their understanding of the field.","life-sciences; molecular-biology; apoptosis; metastasis; cancer; cell-biology; cancer-biology; metabolism","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.7,15.9]","NA","English","life-sciences","research","rfLcH8LJEemPLw6tW2NQTg"]
["2. Upskill","Scientific Research","MRI Fundamentals","Korea Advanced Institute of Science and Technology(KAIST)","Advanced",16.8,4.67,"https://www.coursera.org/learn/mri-fundamentals","Welcome! In this course learners will develop expertise in basic magnetic resonance imaging (MRI) physics and principles and gain knowledge of many different data acquisition strategies in MRI. In particular, learners will get to know what is magnetic resonance phenomenon, how magnetic resonance signals are generated, how an image can be formulated using MRI, how soft tissue contrast can change with imaging parameters. Also introduced will be MR imaging sequences of spin echo, gradient echo, fast spin echo, echo planar imaging, inversion recovery, etc.","mergers-and-acquisitions; physics; data-acquisition; flipping; image-formation; data-segment; pulse; image-file-formats; principle; data-uri-scheme","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,19.8]","NA","English","life-sciences","research","oXNJFDcqEeaZvBKk_jPuSQ"]
["2. Upskill","Scientific Research","Getting started in cryo-EM","Caltech","NA",17.0,4.9,"https://www.coursera.org/learn/cryo-em","This class covers the fundamental principles underlying cryo-electron microscopy (cryo-EM) starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation. Building upon that foundation, the class then covers the sample preparation issues, data collection strategies, and basic image processing workflows for all 3 basic modalities of modern cryo-EM: tomography, single particle analysis, and 2-D crystallography.\\n\\nPhilosophy:\\nThe course emphasizes concepts rather than mathematical details, taught through numerous drawings and example images.  It is meant for anyone interested in the burgeoning fields of cryo-EM and 3-D EM, including cell biologists or molecular biologists without extensive training in mathematics or imaging physics and practicing electron microscopists who want to broaden their understanding of the field.  The class is perfect as a primer for anyone who is about to be trained as a cryo-electron microscopist, or for anyone who needs an introduction to the field to be able to understand the literature or the talks and conversations they will hear at cryo-EM meetings.\\n\\nPre-requisites:\\nThe recommended prerequisites are college-freshman-level math, physics, and biochemistry.\\n\\nPace: \\nThere are 14.5 hours of lecture videos total separated into 40 individual “modules” lasting on average 20 minutes each.  Each module has at the end a list of “concept check” questions you can use to test your knowledge of what was presented. As the modules are grouped into seven major subjects, one reasonable plan would be to go through one major subject each day.  That would mean watching a couple hours of lecture and spending another hour or so thinking through the concept check questions each day for a week.  Another reasonable plan would be to go through one module each day for a little over a month, or even three modules a week (Monday, Wednesday, and Friday) for a 3-month term.\\n\\nIt is likely that as you then move on to actually begin using a cryo-EM or otherwise engage in the field, you will want to repeat certain modules.","philosophy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.2,20.1]","NA","English","life-sciences","research","7PSabL7HEeS4HiIACxCr5g"]
["2. Upskill","Scientific Research","Introduction to Systematic Review and Meta-Analysis","Johns Hopkins University","Beginner",19.6,4.76,"https://www.coursera.org/learn/systematic-review","We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. \\n\\nUpon successfully completing this course, participants will be able to:\\n\\n- Describe the steps in conducting a systematic review\\n- Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework\\n- Describe the process used to collect and extract data from reports of clinical trials\\n- Describe methods to critically assess the risk of bias of clinical trials\\n- Describe and interpret the results of meta-analyses","systematics; meta-analysis; risk; research-methods; systematic-review; clinical-research; bias; analysis; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.8,25]","NA","English","life-sciences","research","7jEat7ioEeWfYA612mWHZw"]
["2. Upskill","Scientific Research","Genomics: Decoding the Universal Language of Life","University of Illinois at Urbana-Champaign","Beginner",42.9,4.75,"https://www.coursera.org/learn/genomics-research","What is a genome? A genome contains all of the information that a cell needs to develop, function, and reproduce itself, and all the information needed for those cells to come together to form a person, plant, or animal. Genomes contain an organism’s complete set of genes, and also the even tinier genetic structures that help regulate when and how those genes are used.\\n\\nThe ability to regrow a torn ligament, the clues that might predict the onset of mental illness, the nutritional potential of crops, and even the history of life itself, are all encoded in genomes. By taking this course, you will discover how scientists are deciphering the language of genomes to learn how to develop sustainable food and fuel supplies, improve disease treatment and prevention, and protect our environment. \\n\\nProfessor Robinson is the main instructor for this course. In addition, each module features several guest instructors. These guest instructors come from diverse fields of study—biology, physics, computer science, and many others—and pursue diverse research goals, yet they share a common interest in genomic approaches and technologies. The guest instructors include:\\n\\n- Elizabeth (Lisa) Ainsworth, Associate Professor of Plant Biology\\n- Mark Band, Director of the Functional Genomics Facility\\n- Alison Bell, Associate Professor of Animal Biology\\n- Jenny Drnevich, Functional Genomics Bioinformatics Specialist with High-Performance Biological Computing\\n- Christopher Fields, Associate Director of High-Performance Biological Computing\\n- Bruce Fouke, Director of the Roy J. Carver Biotechnology Center\\n- Glenn Fried, Director of the Carl R. Woese Institute for Genomic Biology Core Facilities\\n- Nigel Goldenfeld, Professor of Physics\\n- Brendan Harley, Assistant Professor of Chemical and Biomolecular Engineering\\n- Alvaro Hernandez, Director of the High-Throughput Sequencing and Genotyping Facility\\n- Victor Jongeneel, former NCSA Director of Bioinformatics and former Director of High-Performance Biological Computing\\n- Kingsley Boateng, Senior Research Specialist with the Carl R. Woese Institute for Genomic Biology Core Facilities\\n- Stephen Long, Professor of Plant Biology and Crop Sciences\\n- Ruby Mendenhall, Associate Professor of African American Studies\\n- William Metcalf, Professor of Microbiology\\n- Karen Sears, Assistant Professor of Animal Biology\\n- Saurabh Sinha, Associate Professor of Computer Science\\n- Lisa Stubbs, Professor of Cell and Developmental Biology\\n- Rachel Whitaker, Associate Professor of Microbiology\\n- Derek Wildman, Professor of Molecular and Integrative Physiology\\n- Peter Yau, Director of the Protein Sciences Facility","gene; biology; microbiology; biotechnology; genetics; genomics; gene-regulation; genome; dna; epigenetics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.7,67]","Romanian","English","life-sciences","research","EH3eAfteEeWfYgqbi1xsdw"]
["2. Upskill","Scientific Research","Data Collection: Online, Telephone and Face-to-face","University of Michigan","Advanced",16.7,4.6,"https://www.coursera.org/learn/data-collection-methods","This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.\\n\\nThe course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.","credit score in the united states; self-rated health; econometrics; spss; mode effect; survey methodology; life satisfaction; coverage error; nora (cat); ingratiation","Survey Data Collection and Analytics",2.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.",44154.0,"None","English","life-sciences","psychology","eF-ITeDkEeWr4g7T_DyXNw","eYmv6d_7EeWOdA7Ea609SQ"]
["2. Upskill","Scientific Research","Questionnaire Design for Social Surveys","University of Michigan","Advanced",14.8,4.39,"https://www.coursera.org/learn/questionnaire-design","This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.","process; type i and type ii errors; structural equation models; standard score; context effect; survey methodology; spss; Survey Design; econometrics; behavior","Survey Data Collection and Analytics",3.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.",44091.0,"None","English","life-sciences","psychology","vrTPjkqzEeWB9g55-yieoQ","eYmv6d_7EeWOdA7Ea609SQ"]
["2. Upskill","Scientific Research","Sampling People, Networks and Records","University of Michigan","Advanced",30.3,4.4,"https://www.coursera.org/learn/sampling-methods","Good data collection is built on good samples.  But the samples can be chosen in many ways.  Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done.  Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.  Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control.  It is these last kinds of samples that will be discussed in this course.  We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples.  The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.","cluster analysis; survey methodology; saving; econometrics; design effect; sampling techniques; confidence; cluster sampling; systematic sampling; spss","Survey Data Collection and Analytics",4.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.","20, 45","None","English","life-sciences","psychology","2_xJtuxuEeWMXQ7KUwccNw","eYmv6d_7EeWOdA7Ea609SQ"]
["2. Upskill","Scientific Research","Survey Data Collection and Analytics Project (Capstone)","University of Michigan","Beginner",19.1,4.0,"https://www.coursera.org/learn/survey-data-capstone","The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically examine the quality of each data source.\\n\\nAt the completion of this capstone, students will have demonstrated hands-on data analysis capability, evaluated the quality of different data sources using the Total Survey Error approach, involving at least some of the following: comparing weighted non-probability samples to data collected from probability samples, using sampling techniques to correct for coverage errors, and tracking and assess the ease of using an online questionnaire that you implement.","hellinger distance; autoregressive conditional heteroskedasticity; web; spss; evaluation; pearson distribution; lucas lehmer primality test; completing the square; survey methodology; deutsch jozsa algorithm","Survey Data Collection and Analytics",7.0,"https://www.coursera.org/specializations/data-collection","This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources.\\n\\nFaculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs.",44189.0,"None","English","life-sciences","psychology","DrXHAO_TEeWFGg7pC2ECOw","eYmv6d_7EeWOdA7Ea609SQ"]
["2. Upskill","Scientific Research","Integrated Analysis in Systems Biology","Icahn School of Medicine at Mount Sinai","Advanced",5.9,4.63,"https://www.coursera.org/learn/integrated-analysis","This course will focus on developing integrative skills through directed reading and analysis of the current primary literature to enable the student to develop the capstone project as the overall final exam for the specialization in systems biology.","biomedical engineering; DNA Arrays; biotechnology; molecular biology; matlab; electrophoretic mobility shift assay; Kinases; biology; luciferase; systems biology","Systems Biology and Biotechnology",5.0,"https://www.coursera.org/specializations/systems-biology","Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively.\\n\\nThe Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields. In the final Capstone Project, students will apply the methods they learned in five courses of specialization to work on a research project.",43897.0,"None","English","life-sciences","health-informatics","dYlOzglOEeW-USIAC8GCHA","NvN7YG-tEeWaLg565CxmSw"]

{"sheet":"7. MA","index":13,"n_rows":78,"n_cols":21,"rows_kept":78,"cut":false,"hidden":false,"merged":[]}
[]
["Manufacturing","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID","Specialization ID"]
["1. Literacy","Engineering Project Management","Major Engineering Project Performance","University of Leeds","Advanced",14.0,4.78,"https://www.coursera.org/learn/major-engineering-project-performance","Manage large projects by identifying their key characteristics, examining the key factors and risks that affect their performance and exploring methods to counter their impact on the successful delivery of projects.\\n\\nLooking into examples of best practice, you'll explore the relationship between projects, programmes and portfolios.  You'll also discover the roles performed by the project manager, examine the difficulties associated with quantifying transaction costs in major project management and consider how different management approaches impact on these costs. Optimism bias and strategic misinterpretation regularly cause delays to major engineering projects. Using stimulating case studies, you'll evaluate the measures of success and compare and contrast 'project success' versus 'project management success'. In the final week of the course, you'll research and present a contemporary example of a major engineering project from your own country. \\n\\nThis course explores concepts analysed in the University’s Online MSc in Engineering Management. If you are interested to develop your skills further, take a look at our online degree.","health-systems-engineering; mechanical-engineering; engineering-projects; engineering-management; project; performance; microsoft-project; project-management; evaluation; management","Managing Major Engineering Projects",1.0,"https://www.coursera.org/specializations/managing-major-engineering-projects","Accelerate your career by improving your project management skills. This Specialization delivers a rigorous exploration of the best practices for planning and delivering these major engineering projects. You’ll learn about the measures of success, how to resolve challenges of governance and typical financing approaches of these projects.\\n\\nIf you are an engineer or a project manager and you aspire to get involved with major engineering projects, or you are already working on one, then this Specialization is for you.\\n\\nMaster your project management skills and prepare to develop your career in engineering.\\n\\nThis specialization is based on content from the Online MSc in Engineering Management. If you interested to develop your career further, take a look at our online degree.","[7.9,18.1]","Portuguese","English","physical-science-and-engineering","mechanical-engineering","L4Xna-PlEee-fQpFZdil5A"]
["1. Literacy","Security","Cyber Security in Manufacturing","The State University of New York","Beginner",10.3,4.59,"https://www.coursera.org/learn/cyber-security-manufacturing","The nature of digital manufacturing and design (DM&D), and its heavy reliance on creating a digital thread of product and process data and information, makes it a prime target for hackers and counterfeiters. This course will introduce students to why creating a strong and secure infrastructure should be of paramount concern for anyone operating in the DM&D domain, and measures that can be employed to protect operational technologies, systems and resources. \\n\\nAcquire knowledge about security needs and the application of information security systems. Build the foundational skills needed in performing a risk assessment of operational and information technology assets. Gain valuable insights of implementing controls to mitigate identified risks.\\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the seventh course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","chaining; threat; security; industrial-engineering; computer-forensics; supervisory-control-and-data-acquisition-scada; internet-of-things; computer-security; supply-chain; forensics","Digital Manufacturing & Design Technology",7.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[3.7,16.4]","NA","English","physical-science-and-engineering","mechanical-engineering","P4OiSYqvEeasSQqQKTLK_Q"]
["1. Literacy","Design & Innovation","Innovation Through Design: Think, Make, Break, Repeat","The University of Sydney","Intermediate",10.3,4.67,"https://www.coursera.org/learn/innovation-through-design","The evolution of design has seen it become a discipline no longer limited to the concerns of a singular, specific domain and develop to become a pathway for solving complex, nonlinear problems. Design is becoming a capability-enhancing skill, equipping people with the ability to deal with uncertainty, complexity and failure. \\n\\nIn this course, we demonstrate how you can use design as a way of thinking to provide strategic and innovative advantage within your profession. Suitable for anyone who is curious about design and translating the processes and tools of design thinking into innovative opportunities, over 5 weeks we explore, apply and practice the design process: think, make, break and repeat.\\n\\nThrough introducing theoretical concepts and examining industry case studies with leading Australian design firms, we investigate design as learning about the context (the thinking part), building prototypes as tangible representations (the making part) and testing potential solutions (the breaking part). We build on this by showing the productive value of moving through the process quickly and often (the repeating part), to improve ideas and develop new insights. \\n\\nThroughout the course, you will follow us through three of Australia’s most exciting design offices and learn from practicing designers and leaders in design. This insight into industry will enable you to develop a comprehensive understanding of design and the role it can and does play within the innovation landscape. You will leave this course with a set of practical tools and techniques to apply to situations within your own professional context, to translate problems into opportunities and solutions, and ultimately to innovate through design.","design-thinking; evaluation; instructional-design; innovation; process; innovation-management; communication; principle; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,13.3]","NA","English","business","entrepreneurship","whpzQq-kEeeI4Q6L0-Nv9g"]
["1. Literacy","Internet of Things","Introduction to the Internet of Things and Embedded Systems","University of California, Irvine","Beginner",17.0,4.61,"https://www.coursera.org/learn/iot","The explosive growth of the “Internet of Things” is changing our world and the rapid drop in price for typical IoT components is allowing people to innovate new designs and products at home. In this first class in the specialization you will learn the importance of IoT in society, the current components of typical IoT devices and trends for the future. IoT design considerations, constraints and interfacing between the physical world and your device will also be covered. You will also learn how to make design trade-offs between hardware and software. We'll also cover key components of networking to ensure that students understand how to connect their device to the Internet. Please note that this course does not include discussion forums.\\n\\nUpon completing this course, you will be able to:\\n1.       Define the term “Internet of Things”\\n2.       State the technological trends which have led to IoT\\n3.       Describe the impact of IoT on society\\n4.       Define what an embedded system is in terms of its interface\\n5.       Enumerate and describe the components of an embedded system\\n6.       Describe the interactions of embedded systems with the physical world\\n7.       Name the core hardware components most commonly used in IoT devices\\n8.       Describe the interaction between software and hardware in an IoT device\\n9.       Describe the role of an operating system to support software in an IoT device\\n10.     Explain the use of networking and basic networking hardware\\n11.     Describe the structure of the Internet\\n12.     Describe the meaning of a “network protocol”\\n13.     Explain MANETs and their relation to IoT","internet-protocol; internet; systems-design; wireshark; internet-of-things; communications-protocol; microcontroller; embedded-system-design; network-protocols; arduino","An Introduction to Programming the Internet of Things (IOT)",1.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[8.9,24.4]","Vietnamese; Arabic","English","computer-science","software-development","CEwR00UZEeWb8RJf7Z1H0w"]
["1. Literacy","Digital Manufacturing","Digital Manufacturing & Design","The State University of New York","Beginner",5.1,4.62,"https://www.coursera.org/learn/digital-manufacturing-design","This course will expose you to the transformation taking place, throughout the world, in the way that products are being designed and manufactured. The transformation is happening through digital manufacturing and design (DM&D) – a shift from paper-based processes to digital processes in the manufacturing industry. By the end of this course, you’ll understand what DMD is and how it is impacting careers, practices and processes in companies both large and small.  \\n\\nYou will gain an understanding of and appreciation for the role that technology is playing in this transition. The technology we use every day – whether it is communicating with friends and family, purchasing products or streaming entertainment – can benefit design and manufacturing, making companies and workers more competitive, agile and productive. Discover how this new approach to making products makes companies more responsive, and employees more involved and engaged, as new career paths in advanced manufacturing evolve.\\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the first course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-processes; artificial-intelligence; digital-design; computer-security; process-management; process; industry-4dot0; manufacturing-process-management; manufacturing-engineer; management","Digital Manufacturing & Design Technology",1.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[2.8,6.7]","NA","English","physical-science-and-engineering","mechanical-engineering","0WeoUtsxEeWs3gqqmBF9eQ"]
["1. Literacy","Additive Manufacturing","The 3D Printing Revolution","University of Illinois at Urbana-Champaign","Intermediate",11.5,4.7,"https://www.coursera.org/learn/3d-printing-revolution","This course will demonstrate how 3D printers work, show what people make with them, and examine the 3D printing ecosystem. It will also explore the future of 3D printing and discuss how this technology will revolutionize our world. The course materials include informative video lectures, on-location interviews with a variety of 3D printing experts, and engaging hands-on exercises. Learners who complete this introductory course will have a solid understanding of 3D printing and its revolutionary potential, and will be able to print and customize 3D designs.\\n\\nThis course was listed in the top 50 MOOC's of all time by Class-Central (https://www.class-central.com/report/top-moocs/)","learning; process; materials; new-product-development; manufacturing-process-management; product-development; 3d-printing; product; product-business; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.3,14.9]","Chinese","English","business","entrepreneurship","zo2jLrZHEeWVcRIZgPr_Xw"]
["1. Literacy","Process Improvement","Six Sigma Principles","University System of Georgia","Beginner",9.6,4.54,"https://www.coursera.org/learn/six-sigma-principles","This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","team-management; management; process; trigonometric-integral; mapping; lean-six-sigma; lean-methods; process-improvement; six-sigma; quality-control","Six Sigma Yellow Belt",1.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[5.3,12.2]","Arabic","English","business","business-essentials","jPWJXYC7Eea-WAqa1tl72w"]
["2. Upskill","Additive Manufacturing","Generative Design for Additive Manufacturing","Autodesk","Beginner",15.7,4.87,"https://www.coursera.org/learn/generative-design-additive-manufacturing","This course introduces you to one of the more common applications of generative design: Additive Manufacturing or 3D printing as it’s also known. In this course, we explore the basics of geometry creation and the mindset shift needed to build a generative design—a deeper understanding of generative design, its parameters, and how to work with the results specifically aimed at making a 3D printed metal part. We develop insightful understanding of the generative workflow by exploring Autodesk® Fusion 360™ tools and combining them with the creative process of taking an idea to a 3D model. We'll learn how to focus on where a design is and isn’t and apply the generative design thinking process to define a study as we take a deeper dive into Fusion 360.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling: https://www.autodesk.com/products/fusion-360\\n\\nWant to take your learning to the next level? Complete the Autodesk Generative Design for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","3d-printing; generative-model; generative-design; manufacturing-process-management; autodesk; mechanical-engineering; computer-aided-design","Autodesk Generative Design for Manufacturing",1.0,"https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","Quickly generate high-performing design alternatives—many that you’d never think of on your own—from a single idea. With generative design, there is no single solution. Instead, there are multiple great solutions. You choose the design that best fits your needs.\\n\\nGenerative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.\\n\\nThrough this specialization, you’ll learn the foundations of product innovation and generative design while developing your skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling.","[8.8,19]","NA","English","physical-science-and-engineering","mechanical-engineering","z9IkgXgWEemcDgqxMcjw6A"]
["2. Upskill","Additive Manufacturing","3D Printing Applications","University of Illinois at Urbana-Champaign","Intermediate",16.5,4.54,"https://www.coursera.org/learn/3d-printing-applications","This course will help you understand how 3D printing is being applied across a number of domains, including design, manufacturing, and retailing. It will also demonstrate the special capabilities of 3D printing such as customization, self-assembly, and the ability to print complex objects. In addition to business applications, this course will also examine how individuals, including those in developing countries, are using this technology to create solutions to the problems they face. This course will also provide an overview of design thinking and how you can use this framework to develop ideas that can be turned into objects. Learners who complete this course will obtain a rich understanding of the capabilities of 3D printing and how to think about designing objects for this new technology.","design-thinking; 3d-printing; innovation; intellectual-property; manufacturing-process-management; education; modeling; entrepreneurship; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.6,19.2]","French","English","business","entrepreneurship","58H3s7ZHEeW2iwpbOuagWQ"]
["2. Upskill","Agriculture","Challenges of Agribusiness Management","Università Bocconi","NA",12.0,5.0,"https://www.coursera.org/learn/agribusiness-management-challenges","The goal of this course is to understand the challenges and opportunities of agribusiness nowadays. From farms to retailers, from input providers to traders, all the diverse players of this value chain interact a complex business environment in which nature, policy, technology and management strategies have to be considered to overcome future challenges and seize upcoming opportunities. \\nTo understand such complexity we will take Italy as a large, open-air lab in which all major phenomena and business dynamics influencing agribusiness worldwide coexist and clearly show their effects. History, heritage and tradition, technology and innovation, brilliant farmers and multinational companies, all in a constrained, diverse physical and business landscape, Italy is the perfect sampling area for agribusiness. \\nIn our learning experience we will benefit from the knowledge and experience of different Bocconi University Professors and several CEOs and top executives who are re-shaping agribusiness concepts. \\n\\nCourse Syllabus: \\n\\nWeek 1: Heritage and Excellence in Italian Agriculture\\nWeek 2: Challenges of the Global Agro-System\\nWeek 3: Innovation in Agribusiness\\nWeek 4: Developing new business concepts","agriculture","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.4,15.3]","NA","English","business","entrepreneurship","E4j18M1jEemVmwqrR5GgSA"]
["2. Upskill","Agriculture","The Economics of Agro-Food Value Chains","Technische Universität München (TUM)","Beginner",155.8,4.41,"https://www.coursera.org/learn/valuechains","Have a look at our trailer for a brief introduction to this course: https://youtu.be/GADAgxTHjgE \\n\\nIn this course, you learn how the agro-food value chain approaches the challenge of constantly improving its competitiveness by producing high quality food and products and also aiming to attain greater sustainability. Some of the topics of this course are:\\n•\\tThe notion of quality for food and agricultural products and consumer value. \\n•\\tHow to conduct market research in this field.\\n•\\tLabelling, branding and pricing strategies, as-well as innovation in the agro-food sector.\\n•\\tHow sustainability can be used as a competitive advantage through corporate social responsibility.\\n•\\tThe role and different types of industrial standards.  \\n•\\tThe different forms of coordination in the chain, in particular with regard to the retailing and distribution sector. \\n \\nThis course is taught by a group of international experts from Universities in Italy, Germany, Ireland, Scotland and the Netherlands. Each of them will give you insights into a specific topic related to food quality and the organization of the agro-food value chains.","economics; innovation; value-chain; market-economics; chaining; supply-chain-management; microeconomics; supply-chain; management; market-research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[34.4,289]","NA","English","social-sciences","economics","JuFu4AjPEeeU8RLd2iRGZg"]
["2. Upskill","Computer Aided Design","Introduction to CAD, CAM, and Practical CNC Machining","Autodesk","Beginner",18.3,4.92,"https://www.coursera.org/learn/introduction-cad-cam-practical-cnc-machining","This course introduces you to the foundational knowledge in computer-aided design, manufacture, and the practical use of CNC machines. In this course we begin with the basics in Autodesk® Fusion 360™ CAD by learning how to properly sketch and model 3D parts.  Before we program any toolpaths, we’ll explore CNC machining basics to ensure we have the ground level foundational knowledge needed to effectively define toolpaths. Finally, we explore the basics of setting up a CAM program and defining toolpaths to cut simple geometry. This is the same basic process that gets repeated for the design and manufacture of any part and is a critical step in learning and understanding the process.\\n\\nWant to take your learning to the next level? Complete the Autodesk CAD/CAM for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","autocad; communication; computer-aided-manufacturing; manufacturing-process-management; path-variable; analysis; cnc-machine; mechanical-engineering; computer-aided-design; autodesk","Autodesk CAD/CAM for Manufacturing",1.0,"https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","Manufacturers are under more pressure than ever to deliver better products faster, at lower cost, and with less waste.\\n\\nThe “throw-it-over-the-wall” approach to product development worked well enough in the past. But to compete in the future, you’ll need to connect and automate design and manufacturing processes. Bringing the studio and shop floor together can reduce iterations and errors, enabling you to deliver better products faster.\\n\\nComputers can handle complex tasks to achieve things that are time consuming or in some cases impossible for the human mind. This is the case when we use digital data to create complex tool motions. As we learn how to use technology in this way, we unlock the potential of computer aided manufacturing (CAM).\\n\\nThrough this specialization, you'll learn the foundations of CAD and toolpath generation, while developing your technical skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like CAD and CAM.","[9.4,22.6]","NA","English","physical-science-and-engineering","mechanical-engineering","-xywPngyEemk9gpx_SkOyg"]
["2. Upskill","Computer Aided Design","3-Axis Machining with Autodesk Fusion 360","Autodesk","Advanced",17.5,5.0,"https://www.coursera.org/learn/3-axis-machining-autodesk-fusion-360","As our machining geometry gets more complicated, Autodesk® Fusion 360™ is up to the task!  With a host of standard and adaptive toolpaths we can rapidly remove material from even the most complicated 3d parts. In this course, we explore how to rough and finish geometry that requires tool motion in X, Y, and Z simultaneously, learning how to finish even the finest of details. We’ll wrap up this course by creating a full CNC program for a part, simulating it, and exporting it to G-code.\\n\\nWant to take your learning to the next level? Complete the Autodesk CAD/CAM for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","autocad; autodesk; generative-design","Autodesk CAD/CAM for Manufacturing",2.0,"https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","Manufacturers are under more pressure than ever to deliver better products faster, at lower cost, and with less waste.\\n\\nThe “throw-it-over-the-wall” approach to product development worked well enough in the past. But to compete in the future, you’ll need to connect and automate design and manufacturing processes. Bringing the studio and shop floor together can reduce iterations and errors, enabling you to deliver better products faster.\\n\\nComputers can handle complex tasks to achieve things that are time consuming or in some cases impossible for the human mind. This is the case when we use digital data to create complex tool motions. As we learn how to use technology in this way, we unlock the potential of computer aided manufacturing (CAM).\\n\\nThrough this specialization, you'll learn the foundations of CAD and toolpath generation, while developing your technical skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like CAD and CAM.","[12.5,23.3]","NA","English","physical-science-and-engineering","mechanical-engineering","TJiGG3gzEemNORLDRmPneA"]
["2. Upskill","Computer Aided Design","Creating Toolpaths for a CNC Lathe","Autodesk","Advanced",14.6,4.9,"https://www.coursera.org/learn/cnc-toolpaths-cnc-lathe","CNC machines come in an almost endless array of configurations for various applications. So far, we have only talked about CNC Mills. More specifically vertical milling centers. In this course we turn our attention to the CNC Lathe. We identify the difference in a lathe’s coordinate system, tools, and how to create lathe specific toolpaths.\\n\\nWant to take your learning to the next level? Complete the Autodesk CAD/CAM for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","autocad; computer-programming; autodesk; live-cd","Autodesk CAD/CAM for Manufacturing",3.0,"https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","Manufacturers are under more pressure than ever to deliver better products faster, at lower cost, and with less waste.\\n\\nThe “throw-it-over-the-wall” approach to product development worked well enough in the past. But to compete in the future, you’ll need to connect and automate design and manufacturing processes. Bringing the studio and shop floor together can reduce iterations and errors, enabling you to deliver better products faster.\\n\\nComputers can handle complex tasks to achieve things that are time consuming or in some cases impossible for the human mind. This is the case when we use digital data to create complex tool motions. As we learn how to use technology in this way, we unlock the potential of computer aided manufacturing (CAM).\\n\\nThrough this specialization, you'll learn the foundations of CAD and toolpath generation, while developing your technical skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like CAD and CAM.","[8.4,20]","NA","English","physical-science-and-engineering","mechanical-engineering","ZPEgXXgzEem-ghJxhGXYRg"]
["2. Upskill","Computer Aided Design","Multi-Axis CNC Toolpaths","Autodesk","Advanced",22.2,5.0,"https://www.coursera.org/learn/multi-axis-cnc-toolpaths","Computer Numerical Controlled machines, or CNC for short, can have a nearly endless number of options. Most machines today control tool motion in 3-axes, X, Y and Z, but can be upgraded to include a 4th or 5th axis as well, A and B. Additionally, there are many machines on the market that are already 5-axis capable. The good news is that Autodesk® Fusion 360™ has you covered if you need to control multi-axis positioning or simultaneous motion in all 5 axes at once!\\n\\nWant to take your learning to the next level? Complete the Autodesk CAD/CAM for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","mechanical-engineering; autocad; autodesk","Autodesk CAD/CAM for Manufacturing",4.0,"https://www.coursera.org/specializations/autodesk-cad-cam-manufacturing","Manufacturers are under more pressure than ever to deliver better products faster, at lower cost, and with less waste.\\n\\nThe “throw-it-over-the-wall” approach to product development worked well enough in the past. But to compete in the future, you’ll need to connect and automate design and manufacturing processes. Bringing the studio and shop floor together can reduce iterations and errors, enabling you to deliver better products faster.\\n\\nComputers can handle complex tasks to achieve things that are time consuming or in some cases impossible for the human mind. This is the case when we use digital data to create complex tool motions. As we learn how to use technology in this way, we unlock the potential of computer aided manufacturing (CAM).\\n\\nThrough this specialization, you'll learn the foundations of CAD and toolpath generation, while developing your technical skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like CAD and CAM.","[10.3,33.7]","NA","English","physical-science-and-engineering","mechanical-engineering","jHnTSHgzEemc4xKkn3C_NA"]
["2. Upskill","Computer Aided Design","Generative Design for Performance and Weight Reduction","Autodesk","Intermediate",11.5,4.75,"https://www.coursera.org/learn/generative-design-performance-weight-reduction","There are many considerations and factors that play a part in designing a new product. Cost is usually a big one, but sometimes there are other factors that are the main contributors to a product's direction. With vehicles, specifically motorcycles, we see advanced engineering practices performed on seemingly minor parts. In some instances, making a part as light as possible can have a big effect on performance. In other cases, the strength or stiffness of a part, such as a motor mount, is more critical than its mass. Generative design allows us the ability to solve for both problems at the same time and make informed design decisions without the sacrifice. In this course, we’ll explore how generative design can be applied to motorcycle parts to help reduce mass while also increasing performance.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling: https://www.autodesk.com/products/fusion-360\\n\\nWant to take your learning to the next level? Complete the Autodesk Generative Design for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","generative-design; mechanical-engineering; manufacturing-process-management","Autodesk Generative Design for Manufacturing",2.0,"https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","Quickly generate high-performing design alternatives—many that you’d never think of on your own—from a single idea. With generative design, there is no single solution. Instead, there are multiple great solutions. You choose the design that best fits your needs.\\n\\nGenerative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.\\n\\nThrough this specialization, you’ll learn the foundations of product innovation and generative design while developing your skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling.","[6.4,14.5]","NA","English","physical-science-and-engineering","mechanical-engineering","T0CEvXgXEemIRQ6O2S9PmA"]
["2. Upskill","Computer Aided Design","Generative Design for Industrial Applications","Autodesk","Intermediate",16.0,4.67,"https://www.coursera.org/learn/generative-design-industrial-applications","The foundation of engineering design is exploration and iteration. Design is rarely a perfectly linear and straightforward process. In this course, we explore a design for a traditional manufacturing method and use generative design to create the perfect iteration of it. From that point, we'll reverse engineer the generative design and recreate it for a traditional manufacturing method and explore the option of fabricating the generative version to weigh the pros and cons of each.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling: https://www.autodesk.com/products/fusion-360\\n\\nWant to take your learning to the next level? Complete the Autodesk Generative Design for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","generative-design; manufacturing-process-management; mechanical-engineering","Autodesk Generative Design for Manufacturing",3.0,"https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","Quickly generate high-performing design alternatives—many that you’d never think of on your own—from a single idea. With generative design, there is no single solution. Instead, there are multiple great solutions. You choose the design that best fits your needs.\\n\\nGenerative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.\\n\\nThrough this specialization, you’ll learn the foundations of product innovation and generative design while developing your skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling.","[9.4,20.2]","NA","English","physical-science-and-engineering","mechanical-engineering","Y0Gh_XgWEemDFA76c8GyjA"]
["2. Upskill","Computer Aided Design","Generative Design for Part Consolidation","Autodesk","Advanced",14.6,5.0,"https://www.coursera.org/learn/generative-design-part-consolidation","Designing a product is only part of the process. Now, can that product be manufactured? In many cases the end product is made up of an assembly of different pieces to simplify manufacturing. With generative design and additive manufacturing, we can now take a different approach to the process of designing and producing complex products by ultimately reducing the number of parts and steps in an assembly while optimizing a design for strength and weight reduction.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling: https://www.autodesk.com/products/fusion-360\\n\\nWant to take your learning to the next level? Complete the Autodesk Generative Design for Manufacturing Specialization, and you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design. \\n\\nEnroll in the Specialization here: https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","manufacturing-process-management; autodesk; generative-design","Autodesk Generative Design for Manufacturing",4.0,"https://www.coursera.org/specializations/autodesk-generative-design-manufacturing","Quickly generate high-performing design alternatives—many that you’d never think of on your own—from a single idea. With generative design, there is no single solution. Instead, there are multiple great solutions. You choose the design that best fits your needs.\\n\\nGenerative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.\\n\\nThrough this specialization, you’ll learn the foundations of product innovation and generative design while developing your skills in Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an additional Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like generative design.\\n\\nYou’ll need a paid subscription to Fusion 360 to complete the assignments in this course. Be sure to review your access or payment options before enrolling.","[7.6,19.9]","NA","English","physical-science-and-engineering","mechanical-engineering","KRdixngXEemDFA76c8GyjA"]
["2. Upskill","Computer Aided Design","Autodesk Fusion 360 Integrated CAD/CAM/CAE","Autodesk","Beginner",14.7,4.75,"https://www.coursera.org/learn/fusion-360-integrated-cad-cam-cae","Design, engineering, and manufacturing are undergoing a digital transformation, and the need for a collaborative product development environment is becoming an ever-growing requirement. Autodesk® Fusion 360™ meets this need by connecting CAD, CAM, and CAE in a single cloud-based platform unlike any other tool of its kind. This course builds upon digital manufacturing trends and foundational CAD concepts discussed in Course 1 of this series by introducing Fusion 360 as a problem-solving tool. In this course, we take the next step in connecting CAD, CAM, and CAE through a series of short exercises on 3D modeling, rendering, simulation, and computer aided manufacturing.\\n\\nAfter completing this course series, you will be able to:\\n• Demonstrate knowledge of and apply job entry level skills in computer aided design, computer aided engineering (CAE) and computer aided manufacturing (CAM) using Fusion 360 software.\\n• Describe and apply design based workflows for design, engineering and manufacturing using Fusion 360 software.\\n• Utilize Fusion 360 cloud based collaboration features for project sharing and design review.","modeling; rendering-computer-graphics; cnc-machine; analysis; manufacturing-process-management; 3d-modeling; engineering-design; autodesk; simulation; computer-aided-design","CAD and Digital Manufacturing",2.0,"https://www.coursera.org/specializations/cad-design-digital-manufacturing","The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity—whether you're an entrepreneur, designer, or engineer.\\n\\nToday’s dominant technology trends—cloud computing, mobile technology, social connection, and collaboration—are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator—and it’s all about who innovates first.\\n\\nThrough this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like digital manufacturing.","[4.9,22.9]","NA","English","physical-science-and-engineering","mechanical-engineering","X5Ts1I9fEeekZArNulnx4A"]
["2. Upskill","Computer Aided Design","Engineering Design Process with Autodesk Fusion 360","Autodesk","Advanced",12.3,4.71,"https://www.coursera.org/learn/engineering-design-process-fusion-360","This course provides a deeper exploration of mechanical assemblies and simulation, which are key engineering features of the design and manufacturing process. The foundation of engineering design is exploration and iteration. Design is rarely a perfectly linear and straightforward process. In this course, we'll explore mechanical assembly design and simulation, focusing on testing and improving design components and performance. As we move through design assumptions, testing, and refining design ideas, we'll come closer to a final design, while developing a deeper knowledge in Autodesk® Fusion 360™ for simulating and analyzing product functionality.\\n\\nAfter completing this course, you will be able to:\\n• Describe the engineering design process and workflow in Fusion 360.\\n• Summarize the trends that are influencing the design industry.\\n• Demonstrate knowledge and skills in more advanced Fusion 360 CAD and simulation skills","process; mechanical-engineering; mechanical-design; engineering-design; simulation; modeling; generative-design; problem-solving; computer-aided-design; 3d-modeling","CAD and Digital Manufacturing",4.0,"https://www.coursera.org/specializations/cad-design-digital-manufacturing","The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity—whether you're an entrepreneur, designer, or engineer.\\n\\nToday’s dominant technology trends—cloud computing, mobile technology, social connection, and collaboration—are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator—and it’s all about who innovates first.\\n\\nThrough this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like digital manufacturing.","[5.9,16.1]","NA","English","physical-science-and-engineering","mechanical-engineering","4hQ2d49fEeeuRQrNZfAqUA"]
["2. Upskill","Computer Aided Design","3D CAD Application","National Taiwan University","Intermediate",16.1,4.88,"https://www.coursera.org/learn/3d-cad-application","Do you want to obtain all the necessary skills of a 3D modeler? Do you want to know how an engineer develop a building model in details? The “3D CAD Application” course, the second course of the new specialization, is coming! \\nAfter finishing this course: You will be able to know how to use the SketchUp’s advanced functions by creating 3D building models. You will be able to develop a building as an engineer.\\nLet’s start the learning journey!","computer-aided-design; autocad; sketchup; 3d-modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.1,23]","Vietnamese","English","physical-science-and-engineering","mechanical-engineering","p79Awdv8EeeCEw5jIEhNXg"]
["2. Upskill","Computer Aided Design","3D CAD Fundamental","National Taiwan University","Intermediate",23.4,4.72,"https://www.coursera.org/learn/3d-cad-fundamental","There have many three-dimensional shape of the object in your brain that are wanted to share, but do not know how to express? How to \"sketch\" the three-dimensional image in your mind? 3D modeling technology can help us construct the most intuitive and understandable three-dimensional model. The use of floor plan interpret the three-dimensional object process－the most direct and effective expression of our ideas. We have designed many paradigms so that people can quickly understand the logic of using 3D CAD software Sketchup and drawing skills, from introduction to advanced, and introduce SketchUp 3D modeling technologies. After completing \"3D CAD Fundamental\", it is no longer difficult to draw ideas that are beyond imagination with 3D modeling technology! The goal of this course is to construct a three-dimensional model, with the computer as the main teaching material, to enrich the fun paradigm and the complete drawing process. Step-by-step teach you how to use Sketchup's 3D modeling software technology. With the completion of \"3D CAD Fundamental\", you will be able to realize the 3D objects that exist in the imagination through 3D modeling!","3d-graphics-software; autocad; integration-testing; interior-design; sketchup; mechanical-engineering; learning; scaling; computer-aided-design; 3d-modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.8,36.8]","Vietnamese","English","physical-science-and-engineering","mechanical-engineering","Zhydwp6QEeeD8w6Puv0EuA"]
["2. Upskill","Digital Manufacturing","3D Model Creation with Autodesk Fusion 360","Autodesk","Advanced",15.1,4.76,"https://www.coursera.org/learn/3d-model-creation-fusion-360","Design is the first phase in the digital manufacturing process. In this course, through a series of lectures and hands-on lessons, we’ll examine a designer’s approach to the design and manufacturing process—from concept to 3D model. We’ll start by applying design thinking to understand user needs, and then we’ll explore design criteria as we dive deeper into Autodesk® Fusion 360™ sketching, modeling, rendering, and documentation features.","mechanical-design; modeling; mechanical-engineering; rendering-computer-graphics; process; generative-design; autodesk; computer-aided-design; 3d-modeling; specification-technical-standard","CAD and Digital Manufacturing",3.0,"https://www.coursera.org/specializations/cad-design-digital-manufacturing","The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity—whether you're an entrepreneur, designer, or engineer.\\n\\nToday’s dominant technology trends—cloud computing, mobile technology, social connection, and collaboration—are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator—and it’s all about who innovates first.\\n\\nThrough this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like digital manufacturing.","[6.8,23.2]","NA","English","physical-science-and-engineering","mechanical-engineering","w3__pI9fEeeBxA6NEfCl3g"]
["2. Upskill","Digital Manufacturing","Intro to Digital Manufacturing with Autodesk Fusion 360","Autodesk","Beginner",11.3,4.59,"https://www.coursera.org/learn/introduction-digital-manufacturing-fusion-360","The manufacturing industry is making a digital transformation, allowing companies to customize production through advances in machine learning, sustainable design, generative design, and collaboration, with integrated design and manufacturing processes. This course introduces innovations in CAD and digital manufacturing, speaking to the rapid changes taking place that are forever transforming the future of making.\\n\\nThis course will also explore foundational concepts behind Autodesk® Fusion 360™ CAD/CAM. Fusion 360 is a cloud-based CAD/CAM tool for collaborative product development that combines industrial design, mechanical engineering, and machine tool programming into one software solution. Through a series of lectures and hands-on exercises, this course provides the core philosophy behind the software. By understanding how designs are both made and assembled, you'll learn to create better designs from the start.\\n\\nAfter completing this course, you will be able to:\\n• Summarize an understanding of digital manufacturing, principles of sustainable design, and manufacturing processes.\\n• Explain and discuss how trends such as generative design and machine learning are influencing innovation, and how things are made. \\n• Demonstrate knowledge and skills in foundational concepts of Fusion 360 CAD/CAM software.\\n• Practice design collaboration and file management best practices using Fusion 360 cloud-based features","generative-design; autodesk; mechanical-design; manufacturing-process-management; manufacturing-processes; sustainable-design; process; computer-aided-design; sustainability; 3d-modeling","CAD and Digital Manufacturing",1.0,"https://www.coursera.org/specializations/cad-design-digital-manufacturing","The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity—whether you're an entrepreneur, designer, or engineer.\\n\\nToday’s dominant technology trends—cloud computing, mobile technology, social connection, and collaboration—are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator—and it’s all about who innovates first.\\n\\nThrough this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like digital manufacturing.","[4.7,16.1]","NA","English","physical-science-and-engineering","mechanical-engineering","qvN49o9eEeebBBJ8AIlx3A"]
["2. Upskill","Digital Manufacturing","Manufacturing Process with Autodesk Fusion 360","Autodesk","Advanced",11.4,4.37,"https://www.coursera.org/learn/manufacturing-process-fusion-360","Designing a product is only part of the process. Now, can that product be manufactured? A CNC machinist works with computer numeric controlled (CNC) machines from generating the machine code to machine setup and run. Understanding both CAD and CAM is essential to this portion of a design. Even if you are not the end user who programs a machine, it is invaluable to know how it’s done. This knowledge translates directly to part design by helping make intelligent design decisions with manufacturing in mind. This course introduces you to the integrated CAD/CAM approach behind Fusion 360 CAD/CAM as well as 3D printed design setup and finally assembly and testing. All stages of product design in one place!\\n\\nAfter completing this course, you will be able to:\\n • Explain the Fusion 360 integrated CAD/CAM manufacturing workflow.\\n • Summarize the trends that are influencing the future of manufacturing.\\n • Demonstrate knowledge and skills in foundational concepts of Fusion 360 CAD/CAM software.\\n • Set up a Flight Controller.\\n • Assemble a quadcopter.\\n • Fly the final design.","process; manufacturing-processes; rendering-computer-graphics; manufacturing-process-management; sustainability; engineering-design; computer-aided-design; operations-management; autodesk; critical-thinking","CAD and Digital Manufacturing",5.0,"https://www.coursera.org/specializations/cad-design-digital-manufacturing","The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity—whether you're an entrepreneur, designer, or engineer.\\n\\nToday’s dominant technology trends—cloud computing, mobile technology, social connection, and collaboration—are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator—and it’s all about who innovates first.\\n\\nThrough this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.\\n\\nPlus, by completing this Specialization, you’ll unlock an Autodesk Credential as further recognition of your success! The Autodesk Credential comes with a digital badge and certificate, which you can add to your resume and share on social media platforms like LinkedIn, Facebook, and Twitter. Sharing your Autodesk Credential can signal to hiring managers that you’ve got the right skills for the job and you’re up on the latest industry trends like digital manufacturing.","[4.5,14.9]","NA","English","physical-science-and-engineering","mechanical-engineering","FGxleI9gEee2yBIlFMkZng"]
["2. Upskill","Digital Manufacturing","Digital Thread: Components","The State University of New York","Beginner",5.8,4.54,"https://www.coursera.org/learn/digital-thread-components","This course will help you recognize how the \"digital thread\" is the backbone of the digital manufacturing and design (DM&D) transformation, turning manufacturing processes from paper-based to digital-based. You will have a working understanding of the digital thread – the stream that starts at product concept and continues to accumulate information and data throughout the product’s life cycle – and identify opportunities to leverage it. \\n\\nGain an understanding of how \"the right information, in the right place, at the right time\" should flow. This is one of the keys to unlocking the potential of a digital design process. Acknowledging this will enable you to be more involved in a product’s development cycle, and to help a company become more flexible. \\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the second course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-process-management; industry-4dot0; process; data-segment; manufacturing-processes; data-management; data-pack; interoperability; management; integration-testing","Digital Manufacturing & Design Technology",2.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[3,9.3]","NA","English","physical-science-and-engineering","mechanical-engineering","y026aIquEeadHwoqfJAG9w"]
["2. Upskill","Digital Manufacturing","Digital Thread: Implementation","The State University of New York","Beginner",10.2,4.63,"https://www.coursera.org/learn/digital-thread-implementation","There are opportunities throughout the design process of any product to make significant changes, and ultimately impact the future of manufacturing, by embracing the digital thread. In this course, you will dig into the transformation taking place in how products are designed and manufactured throughout the world. It is the second of two courses that focuses on the \"digital thread\" – the stream that starts at the creation of a product concept and continues to accumulate information and data throughout the product life cycle.  \\n\\nHear about the realities of implementing the digital thread, directly from someone responsible for making it happen at a company. Learn how the digital thread can fit into product development processes in an office, on a shop floor, and even across an enterprise. Be prepared to talk about the benefits, and limitations, of enacting it.\\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the third course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-process-management; internet-of-things; process; internet; simulation; systems-architecture; manufacturing-execution-system; version-control; manufacturing-processes; cyberinfrastructure","Digital Manufacturing & Design Technology",3.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[3.9,15.7]","NA","English","physical-science-and-engineering","mechanical-engineering","3i2S8IquEeatfg7c63n1lQ"]
["2. Upskill","Digital Manufacturing","Digital Thread: Implementation","The State University of New York","Beginner",10.2,4.63,"https://www.coursera.org/learn/digital-thread-implementation","There are opportunities throughout the design process of any product to make significant changes, and ultimately impact the future of manufacturing, by embracing the digital thread. In this course, you will dig into the transformation taking place in how products are designed and manufactured throughout the world. It is the second of two courses that focuses on the \"digital thread\" – the stream that starts at the creation of a product concept and continues to accumulate information and data throughout the product life cycle.  \\n\\nHear about the realities of implementing the digital thread, directly from someone responsible for making it happen at a company. Learn how the digital thread can fit into product development processes in an office, on a shop floor, and even across an enterprise. Be prepared to talk about the benefits, and limitations, of enacting it.\\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the third course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-process-management; internet-of-things; process; internet; simulation; systems-architecture; manufacturing-execution-system; version-control; manufacturing-processes; cyberinfrastructure","Digital Manufacturing & Design Technology",3.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[3.9,15.7]","NA","English","physical-science-and-engineering","mechanical-engineering","3i2S8IquEeatfg7c63n1lQ"]
["2. Upskill","Digital Manufacturing","MBSE: Model-Based Systems Engineering","The State University of New York","Intermediate",10.4,4.43,"https://www.coursera.org/learn/mbse","This Model-Based Systems Engineering (MBSE) course and the Digital Thread courses featured earlier in this specialization bring together the concepts from across digital manufacturing and design, forming a vision in which the geometry of a product is just one way of describing it. MBSE is where the model resulting from the evolution of system requirements, design, analysis, verification and validation activities is the focus of design and manufacturing. Students will gain an understanding of systems engineering, the model-based approach to design and manufacturing, the Digital Twin, and a roadmap toward a model-based enterprise.\\n\\nStudents will be able to explain the value and expectations of systems engineering and model-based systems engineering, and the underlying motivations and opportunities represented by a model-based enterprise. They will develop the knowledge necessary to perform a baseline assessment of an organization’s potential to leverage MBSE. \\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the eighth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","finger-protocol; systems-engineering; omega-language; model-based-systems-engineering; systems-modeling-language; manufacturing-process-management; systems-modeling; ethernet-over-twisted-pair; design-analysis; modeling","Digital Manufacturing & Design Technology",8.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[5.8,15.3]","NA","English","physical-science-and-engineering","mechanical-engineering","TxrgOYqvEeaIrA7v8VIl-Q"]
["2. Upskill","Digital Manufacturing","Roadmap to Success in Digital Manufacturing & Design","The State University of New York","Intermediate",7.6,4.61,"https://www.coursera.org/learn/roadmap-success-digital-manufacturing-design","Learners will create a roadmap to achieve their own personal goals related to the digital manufacturing and design (DM&D) profession, which will help them leverage relevant opportunities. The culminating project provides a tangible element to include in their professional portfolios that showcases their knowledge of Industry 4.0.\\n\\nThis project is part of the Digital Manufacturing and Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0. To learn more about the specialization and its courses, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-process-management; internet-of-things; mechanical-engineering; industry-4dot0","Digital Manufacturing & Design Technology",9.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[2.7,10.6]","NA","English","physical-science-and-engineering","mechanical-engineering","XhKCa4qvEeahjQocRgp3Hw"]
["2. Upskill","Digital Manufacturing","Intelligent Machining","The State University of New York","Intermediate",6.4,4.61,"https://www.coursera.org/learn/intelligent-machining","Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology. \\n\\nLearn how the integration of smart sensors and controls are helping to improve productivity. You’ll be exposed to various sensors and sensing techniques, process control strategies, and open architecture systems that can be leveraged to enable intelligent machining. This course will prepare you to contribute to the implementation of intelligent machining projects. \\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the fifth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","digital-design; architecture; process-management; manufacturing-processes; internet-of-things; manufacturing-process-management; internet; industry-4dot0; process; management","Digital Manufacturing & Design Technology",5.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[2.7,9]","NA","English","physical-science-and-engineering","mechanical-engineering","CBn_X4qvEeaDdhKRAu-9pw"]
["2. Upskill","Digital Manufacturing","Advanced Manufacturing Enterprise","The State University of New York","Beginner",7.3,4.5,"https://www.coursera.org/learn/advanced-manufacturing-enterprise","Enterprises that seek to become proficient in advanced manufacturing must incorporate manufacturing management tools and integrate data throughout the supply chain to be successful. This course will make students aware of what a digitally connected enterprise is, as they learn about the operational complexity of enterprises, business process optimization and the concept of an integrated product-process-value chain. \\n\\nStudents will become acquainted with the available tools, technologies and techniques for aggregation and integration of data throughout the manufacturing supply chain and entire product life-cycle. They will receive foundational knowledge to assist in efforts to facilitate design, planning, and production scheduling of goods and services by applying product life cycle data.  \\n\\nMain concepts of this course will be delivered through lectures, readings, discussions and various videos. \\n\\nThis is the sixth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.\\n\\nTo learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","manufacturing-process-management; chaining; product-lifecycle; process-management; process; supply-chain-management; manufacturing-processes; internet-of-things; supply-chain; management","Digital Manufacturing & Design Technology",6.0,"https://www.coursera.org/specializations/digital-manufacturing-design-technology","Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA","[2.5,11]","NA","English","physical-science-and-engineering","mechanical-engineering","G8c6RoqvEea-0BIWpvsitw"]
["2. Upskill","Engineering Project Management","Engineering Project Management: Initiating and Planning","Rice University","Beginner",24.4,4.66,"https://www.coursera.org/learn/initiating-planning","The goal of the course is to give you the tools to initiate a project plan, manage both stakeholders and relationships, organize their team, develop a project charter, and build a business case for a project. \\n\\nBy the end of this course you will be able to:\\n \\n-  Perform a project assessment using information from previous projects and lessons learned\\n-  Identify key deliverables based on business requirements while managing customer expectations\\n-  Perform a stakeholder analysis and create a management plan\\n-  Analyze and develop a project organization\\n-  Create a project charter\\n-  Explain the business case for a project and calculate Net Present Value\\n-  Inform stakeholders of the charter and ensure all parties know the deliverables and expectations\\n \\nAs part of the course, you will prepare organization charts, create a Stakeholder Register, and write a Project Charter based on an engineering project in a provided Case Study.  The Stakeholder Register will outline the key parties to the project, their concerns and how you will manage their expectations.  Your Project Charter will provide the key guidance your team needs to understand the scope, requirements and purpose for the project.\\n \\nAll of this will position you for initiating and planning your first project and/or understanding how you can maximize your contributions on your next project team.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\nPMI and PMP are registered marks of the Project Management Institute, Inc.","project-charter; project-plan; plan; planning; project; project-management; project-planning; stakeholder-analysis; project-stakeholder; management","Engineering Project Management",1.0,"https://www.coursera.org/specializations/engineering-project-management","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[12.2,41.9]","NA","English","business","leadership-and-management","xM7O-XSMEeaf3xKPGtjggQ"]
["2. Upskill","Engineering Project Management","Engineering Project Management: Scope, Time and Cost Management","Rice University","Advanced",29.9,4.66,"https://www.coursera.org/learn/scope-time-management-cost","Scope, time, and cost management are at the heart of successful project management. This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Throughout the course, you will learn about change management and techniques to implement it. \\n\\nBy the end of this course  you will be able to:\\n\\n•\\tCreate a requirements document\\n•\\tCreate a Project Scope Statement\\n•\\tIdentify ways to control the scope of the project\\n•\\tDecompose the work and develop work packages\\n•\\tCreate a Work Breakdown Structure\\n•\\tDevelop a Critical Path Schedule\\n•\\tReview types of cost estimates and identify whether they are “top down or bottom up”\\n•\\tReview budgets, contingencies and reserves\\n•\\tCalculate planned and earned values to compare with actual cost\\n•\\tPerform a cost and schedule analysis\\n\\nEach week you will prepare a key deliverable for the project plan based on a provided Case Study.  These deliverables include:\\n\\n•\\tProject Scope Statement\\n•\\tProject Work Breakdown Structure (WBS) and WBS dictionary\\n•\\tCritical Path schedule sequence diagram\\n•\\tBar Chart Schedule (Gantt Chart)\\n•\\tProject Cost Estimate\\n•\\tProject Status using an Earned Value Calculation\\n\\nAll of this will position you to set up a plan to control your next assignment or your next project whether this is as the project manager or as an area leader.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\nPMI and PMP are registered marks of the Project Management Institute, Inc.","management; project; project-management; earned-value-management; estimation; schedule; cost; planning; scope-project-management; project-cost-management","Engineering Project Management",2.0,"https://www.coursera.org/specializations/engineering-project-management","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[12.9,51.8]","NA","English","business","leadership-and-management","_ylKU3T-Eeatvg5z1JaMJw"]
["2. Upskill","Engineering Project Management","Engineering Project Management: Risk, Quality, Teams, and Procurement","Rice University","Advanced",19.8,4.75,"https://www.coursera.org/learn/project-risk-quality-management","Many Project Managers focus only on the scope, schedule and budget.  However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one.  During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study.\\n\\nBy the end of this course you will be able to:\\n\\n•\\tIdentify positive and negative risks\\n•\\tDevelop risk strategies\\n•\\tPerform a qualitative risk analysis\\n•\\tIdentify cost contingencies and reserves\\n•\\tDevelop a quality plan\\n•\\tIdentify quality standards\\n•\\tUtilize cause and effect tools \\n•\\tCreate a prioritization matrix\\n•\\tDevelop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities\\n•\\tDevelop a procurement plan that includes contracts and incentives\\n\\nAll of this will position you to understand the more intangible aspects of project management to drive better overall performance.\\n\\nRice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. \\n\\n*PMI and PMP are registered marks of the Project Management Institute, Inc.","risk-management-plan; risk; project-management; procurement; project; plan; risk-analysis; analysis; management; risk-management","Engineering Project Management",3.0,"https://www.coursera.org/specializations/engineering-project-management","Master strategies and tools to more effectively and successfully manage projects.\\n\\nToday’s professional environment is highly competitive, continuously changing, and difficult to manage. Employees rarely reach positions of leadership without managing one or more projects or a project segment early in their career. The goal of this Specialization is to give you the tools to more effectively and successfully manage projects; to give you a solid foundation of knowledge, skills, and confidence that sets you apart and gives you a competitive edge as you move toward leadership positions.\\n\\nThis Project Management for Engineering Professionals Specialization is designed as an introduction to Project Management. It is targeted for engineers who are interested in improving their project management skills in a new leadership position or in advance of their first leadership position. As part of the Specialization, you will prepare key Project Execution Plan documents based on available templates.","[6.2,33.2]","NA","English","business","leadership-and-management","lZrHPHT_EeaudA5QhlNglQ"]
["2. Upskill","Engineering Project Management","Major Engineering Projects: Governance, Risk and Scope","University of Leeds","Advanced",14.1,4.79,"https://www.coursera.org/learn/major-engineering-projects","Gain confidence when dealing with stakeholders of major projects by learning to identify and manage those that are involved in the project planning and delivery. This course will enable you to explore project governance in theory and practice.\\nThrough real life examples you’ll understand how the critical challenges of the governance in major projects are resolved.\\n\\nBeing able to successfully manage risk and uncertainty in major projects is vital for their delivery. In this course you’ll learn to distinguish between risk and uncertainty and the role of risk register. You’ll identify the unique challenges of scope management in major projects and employ scope management tools and techniques that will facilitate your project planning. \\n\\nThis course explores concepts analysed in the University’s Online MSc in Engineering Management. If you are interested to develop your skills further, take a look at our online degree.","risk; mechanical-engineering; scope-project-management; project-management; management; risk-management; potentials; engineering-projects; project; project-governance","Managing Major Engineering Projects",2.0,"https://www.coursera.org/specializations/managing-major-engineering-projects","Accelerate your career by improving your project management skills. This Specialization delivers a rigorous exploration of the best practices for planning and delivering these major engineering projects. You’ll learn about the measures of success, how to resolve challenges of governance and typical financing approaches of these projects.\\n\\nIf you are an engineer or a project manager and you aspire to get involved with major engineering projects, or you are already working on one, then this Specialization is for you.\\n\\nMaster your project management skills and prepare to develop your career in engineering.\\n\\nThis specialization is based on content from the Online MSc in Engineering Management. If you interested to develop your career further, take a look at our online degree.","[2.7,20.6]","NA","English","physical-science-and-engineering","mechanical-engineering","UWp_mfFJEeeIawr9xoNSeg"]
["2. Upskill","Engineering Project Management","Financing and Initiating Major Engineering Projects","University of Leeds","Intermediate",13.0,4.47,"https://www.coursera.org/learn/financing-major-engineering-projects","To successfully lead major projects you have to understand typical investor and project financing approaches. In this course, you’ll learn to interpret some key contractual instruments that are relevant for the financing of major engineering projects so that you are in a position to ensure the financially secure delivery of your project. You’ll explore the concept of “time value of money” and be able to compute key indicators such as “Pay-back time”, “Net Present value” and “Internal Rate of Return”.\\nYou’ll identify common stakeholder and management approaches, and be able to implement key messaging, taking accurate requirements and manage expectations.\\n\\nThrough real-life case studies you’ll identify appropriate best practice related to governance, execution strategies, requirements management, procurement, asset and risk management and organisational design and development for the successful delivery of large engineering projects. \\n\\nThis course explores concepts analysed in the University’s Online MSc in Engineering Management. If you are interested to develop your skills further, take a look at our online degree.","plan; finance; plant; planning; engineering-projects; project-management; project; learning; mechanical-engineering; integration-testing","Managing Major Engineering Projects",3.0,"https://www.coursera.org/specializations/managing-major-engineering-projects","Accelerate your career by improving your project management skills. This Specialization delivers a rigorous exploration of the best practices for planning and delivering these major engineering projects. You’ll learn about the measures of success, how to resolve challenges of governance and typical financing approaches of these projects.\\n\\nIf you are an engineer or a project manager and you aspire to get involved with major engineering projects, or you are already working on one, then this Specialization is for you.\\n\\nMaster your project management skills and prepare to develop your career in engineering.\\n\\nThis specialization is based on content from the Online MSc in Engineering Management. If you interested to develop your career further, take a look at our online degree.","[4.6,18.7]","NA","English","physical-science-and-engineering","mechanical-engineering","GlTunvSJEeepDxJ9km86Lg"]
["2. Upskill","Internet of Things","Industrial IoT Markets and Security","University of Colorado Boulder","Intermediate",18.2,4.48,"https://www.coursera.org/learn/industrial-iot-markets-security","This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nDeveloping tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.\\n\\nThis is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all \"Internet of Things\" product development.\\n\\nIn this course students will learn :\\n  * What Industry 4.0 is and what factors have enabled the IIoT\\n  * Key skills to develop to be employed in the IIoT space\\n  * What platforms are, and also market information on Software and Services\\n  * What the top application areas are (examples include manufacturing and oil & gas)\\n  * What the top operating systems are that are used in IIoT deployments\\n  * About networking and wireless communication protocols used in IIoT deployments\\n  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication","security; internet; list-of-facebook-features; wireless; edge-computing; integration-testing; encryption; cryptography; internet-of-things; source-code","Developing Industrial Internet of Things",1.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[6.3,21.7]","NA","English","computer-science","design-and-product","88AS74tsEeiIKw52w5bZOA"]
["2. Upskill","Internet of Things","Project Planning and Machine Learning","University of Colorado Boulder","Intermediate",14.8,4.29,"https://www.coursera.org/learn/industrial-iot-project-planning-machine-learning","This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is part 2 of the specialization. In this course students will learn :\\n  * How to staff, plan and execute a project\\n  * How to build a bill of materials for a product\\n  * How to calibrate sensors and validate sensor measurements\\n  * How hard drives and solid state drives operate\\n  * How basic file systems operate, and types of file systems used to store big data\\n  * How machine learning algorithms work - a basic introduction\\n  * Why we want to study big data and how to prepare data for machine learning algorithms","industry-4dot0; electrical-engineering; machine-learning-algorithms; list-of-facebook-features; algorithms; hard-drives; edge-computing; internet-of-things; ordered-pair; integration-testing","Developing Industrial Internet of Things",2.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[8.3,18.8]","NA","English","computer-science","design-and-product","A3ASpYtuEeiaTA5iU-pJGg"]
["2. Upskill","Internet of Things","Modeling and Debugging Embedded Systems","University of Colorado Boulder","Intermediate",7.6,4.59,"https://www.coursera.org/learn/modeling-debugging-embedded-systems","This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is part 3 of the specialization. In this course students will learn :\\n  * About SystemC and how it can be used to create models of cyber-physical systems in order to perform \"what-if\" scenarios\\n  * About Trimble Engineering's embedded systems for heavy equipment automation\\n  * A deeper understanding of embedded systems in the Automotive and Transportation market segment\\n  * How to debug deeply embedded systems\\n  * About Lauterbach's TRACE32 debugging tools\\n  * How to promote technical ideas within a company\\n  * What can be learned from studying engineering failures","debugging; internet-of-things; i-deas; increment-and-decrement-operators; failure; product-development; ethernet; edge-computing; product; integration-testing","Developing Industrial Internet of Things",3.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[1.6,11.4]","NA","English","computer-science","design-and-product","HPk-y4tuEeiVjw5P0bOweA"]
["2. Upskill","Internet of Things","Internet of Things V2: Setting up and Using Cloud Services","University of California San Diego","Intermediate",11.4,4.71,"https://www.coursera.org/learn/internet-of-things-cloud-services-version2","Have you wondered what exactly AWS is and why is it important?  Do you want to make informed design decisions about which services to use? Do you want to gain expertise to leverage the cloud for your own projects?\\nIn this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud. Along the way, you’ll learn how to structure your project with a variety of these difference services.\\n\\nLearning Goals: \\nAfter completing this course, you will be able to:\\n\\n1) Understand what the cloud is and how it works.\\n2) Install and configure the AWS CLI and SDK on a Linux system.\\n3) Use various AWS services such as EC2, IoT, and many more.\\n4) Build projects that heavily leverage the cloud.\\n5) Integrate the cloud into embedded systems.","internet-of-things; raspberry-pi; materials; cloud-computing","Internet of Things",3.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[6.5,15.9]","NA","English","physical-science-and-engineering","electrical-engineering","XD-TddyuEeeWJRKNrJVcVg"]
["2. Upskill","Internet of Things","Internet of Things: Communication Technologies","University of California San Diego","Intermediate",7.8,4.47,"https://www.coursera.org/learn/internet-of-things-communication","Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors. \\n\\nIn this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages.  You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app. \\n\\nLearning Goals: After completing this course, you will be able to:\\n\\n1.\\tImplement session initiation, management and termination on your DragonBoard™ 410c using SIP.\\n2.\\tDiscover other users and exchange device capabilities.\\n3.\\tCompare and contrast narrowband and wideband codecs and experience the voice quality differences between them.\\n4.\\tImplement and demonstrate VoIP calls using the DragonBoard 410c.","internet; uniform-resource-identifier; codecs; owned; voice-over-ip; void; software; internet-of-things","Internet of Things",4.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[4.3,9.4]","Korean","English","computer-science","computer-security-and-networks","X4ituSzfEeWl3A7Kuc0JCQ"]
["2. Upskill","Internet of Things","Internet of Things: Multimedia Technologies","University of California San Diego","Intermediate",5.7,4.49,"https://www.coursera.org/learn/internet-of-things-multimedia","Content is an eminent example of the features that contributed to the success of wireless Internet. Mobile platforms such as the Snapdragon™ processor have special hardware and software capabilities to make acquisition, processing and rendering of multimedia content efficient and cost-effective. \\n\\nIn this course, you will learn the principles of video and audio codecs used for media content in iTunes, Google Play, YouTube, Netflix, etc.  You will learn the file formats and codec settings for optimizing quality and media bandwidth and apply them in developing a basic media player application. \\n\\nLearning Goals: After completing this course, you will be able to:\\n\\n1.\\tExplain the tradeoffs between media quality and bandwidth for content delivery. \\n2.\\tExtract and display metadata from media files.\\n3.\\tImplement and demonstrate a simple media player application using DragonBoard™ 410c.","communication-theory; linux; learning; computer-vision; multimedia; c-libraries; internet-of-things; codecs; data-transmission; integration-testing","Internet of Things",5.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[3.6,6.4]","NA","English","physical-science-and-engineering","electrical-engineering","er2NJyzfEeWv_w7cMMH1Uw"]
["2. Upskill","Internet of Things","Internet of Things Capstone V2: Build a Mobile Surveillance System","University of California San Diego","Intermediate",11.0,4.5,"https://www.coursera.org/learn/internet-of-things-capstone-version2","In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our courses to achieve a robust, practical and/or fun-filled project. \\n\\nWe absolutely encourage you to design whatever you can think up!  This is your chance to be creative or to explore an idea that you have had.  But if you don’t have your own idea, we provide the description of a surveillance system, for you to build.  We will participate in the Capstone with you by building a surveillance system that features an off-grid solar powered workstation that will serve as a hub to multiple surveillance sensors. \\n\\nYou will be able to demonstrate the knowledge and skills you have gained in this course through delivery of industry-appropriate documents such as System Design documents and Unit Test reports.  Additionally, you will be asked to describe and show case your project as a short video presentation – appropriate for demonstrating your knowledge and technical communication skills. \\n\\nLearning Goals: After completing this Capstone, you will be able to:\\n\\n1.\\tDesign systems using mobile platforms. You will gain experience in documenting and presenting designs.\\n2.\\tDevelop systems that interface multiple sensors and actuators to the DragonBoard™ 410c system and develop the necessary software to create a fully functional system.\\n3.\\tSpecify unit tests and system tests, run tests and prepare Test Reports as are commonly done by those working in this industry.\\n4.\\tGain experience (and feedback!) in making technical presentations.","internet-of-things","Internet of Things",6.0,"https://www.coursera.org/specializations/internet-of-things","This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform.","[6.2,14.3]","NA","English","physical-science-and-engineering","electrical-engineering","RjosodytEeevPg4h05TmWA"]
["2. Upskill","Internet of Things","Interfacing with the Arduino","University of California, Irvine","Beginner",16.1,4.62,"https://www.coursera.org/learn/interface-with-arduino","Arduino senses the environment by receiving inputs from add-on devices such as sensors, and can control the world around it by adjusting lights, motors, and other actuators. In this class you will learn how and when to use the different types of sensors and how to connect them to the Arduino. Since the external world uses continuous or analog signals and the hardware is digital you will learn how these signals are converted back-and-forth and how this must be considered as you program your device. You'll also learn about the use of Arduino-specific shields and the shields software libraries to interface with the real world. Please note that this course does not include discussion forums.","electronics; c-programming-language; internet; internet-of-things; wi-fi; cut--copy--and-paste; actuators; computer-programming; arduino; integration-testing","An Introduction to Programming the Internet of Things (IOT)",3.0,"https://www.coursera.org/specializations/iot","Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms.\\n\\nThis Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.","[5.5,23.3]","Vietnamese","English","physical-science-and-engineering","electrical-engineering","hgw1Nkd5EeW8cBKtDAegYw"]
["2. Upskill","Internet of Things","Sensor Manufacturing and Process Control","University of Colorado Boulder","Intermediate",25.7,4.88,"https://www.coursera.org/learn/sensor-manufacturing-process-control","Sensor Manufacturing and Process Control can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nThis is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled \"Sensors and Sensor Circuits\", our second course entitled \"Motor and Motor Control Circuits\", and our third course entitled \"Pressure, Force, Motion, and Humidity Sensors\". Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. Our second and third courses give you three hands-on lab experiments using the kit. This third course assumes that you already know how to use the kit.\\n\\nYou will learn about sensor signal characterization and manufacturing techniques and how to optimize the accuracy of sensors. You will also learn about more advanced sensors, proportional-integral-derivative (PID) control, and how this method is used to give you a closed loop sensor feedback system.\\n\\nAfter taking this course, you will be able to:\\n●\\tUnderstand how sensor manufacturers characterize and calibrate their sensors.\\n●\\tTune a PID control loop and access the PID control function of the Cypress PSoC development kit for a motor control application.  \\n●\\tUnderstand manufacturing methods used to build electro-mechanical and micro-machined sensors.\\n\\nYou will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. \\n\\nThese parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. All are quantity one except for N107-ND where you need three, and 493-15371-ND where you need two. \\n\\n428-3390-ND\\nP14355-ND\\nFQU13N10LTU-ND\\nN107-ND\\n1N5393-E3/54GICT-ND \\nRNF14FTD1K00CT-ND \\nP0.62W-1BK-ND\\n493-15371-ND","microsoft-excel; internet-of-things; manufacturing-process-management; software-engineering; mechatronics; process-control; mechanical-engineering","Embedding Sensors and Motors",4.0,"https://www.coursera.org/specializations/embedding-sensors-motors","The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nEmbedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.","[15.3,29]","NA","English","physical-science-and-engineering","electrical-engineering","kWmOtoOVEeibxhKbPkCY-A"]
["2. Upskill","Internet of Things","Architecting Smart IoT Devices","EIT Digital","Advanced",27.6,4.26,"https://www.coursera.org/learn/iot-architecture","This course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards and networks. You'll also learn how to actually use and integrate these components.\\n\\nAt the end of the course you will be ready to start architecting and implementing your own embedded device! You'll learn how to debug and finetune your device and how to make it run on a low power supply.","operating-system; real-time-operating-systems; systems-design; architecture; device-drivers; debugging; wireless; systems-architect; internet-of-things; embedded-system-design","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10,41.2]","NA","English","computer-science","computer-security-and-networks","Yanhq-pzEeWvGQrWsIkLlw"]
["2. Upskill","Materials Science","Materials Science: 10 Things Every Engineer Should Know","University of California, Davis","Beginner",12.5,4.62,"https://www.coursera.org/learn/materials-science","We explore “10 things” that range from the menu of materials available to engineers in their profession to the many mechanical and electrical properties of materials important to their use in various engineering fields. We also discuss the principles behind the manufacturing of those materials.\\n\\nBy the end of the course, you will be able to:\\n* Recognize the important aspects of the materials used in modern engineering applications,\\n* Explain the underlying principle of materials science: “structure leads to properties,”\\n* Identify the role of thermally activated processes in many of these important “things” – as illustrated by the Arrhenius relationship.\\n* Relate each of these topics to issues that have arisen (or potentially could arise) in your life and work.\\n\\nIf you would like to explore the topic in more depth you may purchase Dr. Shackelford's Textbook:\\nJ.F. Shackelford, Introduction to Materials Science for Engineers, Eighth Edition, Pearson Prentice-Hall, Upper\\nSaddle River, NJ, 2015","mechanical-engineering; fracture-mechanics; chemical-engineering; civil-engineering; phase-diagram; metallurgy; dotproperties; materials; chemistry; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.8,14.3]","Spanish; Russian","English","physical-science-and-engineering","mechanical-engineering","GNr7-GFfEeW5iQpSR8Sfhw"]
["2. Upskill","Materials Science","Introduction to High-Throughput Materials Development","Georgia Institute of Technology","Intermediate",20.7,4.62,"https://www.coursera.org/learn/high-throughput","This course is an introduction to high-throughput experimental methods that accelerate the discovery and development of new materials.\\n\\nIt is well recognized that the discovery of new materials is the key to solving many technological problems faced by industry and society.  These problems include energy production and utilization, carbon capture, tissue engineering, and sustainable materials production, among many others.  This course will introduce the learner to a remarkable new approach to materials discovery and characterization: high-throughput materials development (HTMD).  \\n\\nEngineers and scientists working in industry, academic or government will benefit from this course by developing an understanding of how to apply one element of HTMD, high-throughput experimental methods, to real-world materials discovery and characterization problems.  Internationally leading faculty experts will provide a historical perspective on HTMD, describe preparation of ‘library’ samples that cover hundreds or thousands of compositions, explain techniques for characterizing the library to determine the structure and various properties including optical, electronic, mechanical, chemical, thermal, and others.  Case studies in energy, transportation, and biotechnology are provided to illustrate methodologies for metals, ceramics, polymers and composites.\\n\\nThe Georgia Tech Institute for Materials (IMat) developed this course in order to introduce a broad audience to the essential elements of the Materials Genome Initiative.  Other courses will be offered by Georgia Tech through Coursera to concentrate on integrating (i) high-throughput experimentation with (ii) modeling and simulation and (iii) materials data sciences and informatics.\\n\\n\\nAfter completing this course, learners will be able to \\n•\\tIdentify key events in the development of High-Throughput Materials Development (HTMD)\\n•\\tCommunicate the benefits of HTMDwithin your organization.\\n•\\tExplain what is meant by high throughput methods (both computational and experimental), and their merits for materials discovery/development. \\n•\\tSummarize the principles and methods of high throughput creation/processing of material libraries (samples that contain 100s to 1000s of smaller samples).\\n•\\tState the principles and methods for high-throughput characterization of structure.\\n•\\tState the principles and methods for high throughput property measurements.\\n•\\tIdentify when high-throughput screening (HTS) will be valuable to a materials discovery effort.\\n•\\tSelect an appropriate HTS method for a property measurement of interest.\\n•\\tIdentify companies and organizations working in this field and use this knowledge to select appropriate partners for design and implementation of HTS efforts.\\n•\\tApply principles of experimental design, library synthesis and screening to solve a materials design challenge.\\n•\\tConceive complete high-throughput strategies to obtain processing-structure-property (PSP) relationships for materials design and discovery.","throughput; discipline; materials; framing; experiment; design-of-experiments; electronics; process-engineering; dotproperties; measurement","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.2,28.4]","Portuguese","English","physical-science-and-engineering","chemistry","_HnWrRtDEeWP9g4JMjGIiQ"]
["2. Upskill","Process Improvement","Six Sigma and the Organization (Advanced)","University System of Georgia","Intermediate",16.5,4.56,"https://www.coursera.org/learn/six-sigma-organization-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","management; green-belt; project; process-improvement; trigonometric-integral; six-sigma; project-management; process; six-sigma-green-belt; lean-six-sigma","Six Sigma Green Belt",1.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[7,26.3]","Romanian","English","business","leadership-and-management","MQKF8pqsEea7IQ5foiOduA"]
["2. Upskill","Process Improvement","Six Sigma Advanced Define and Measure Phases","University System of Georgia","Advanced",18.2,4.68,"https://www.coursera.org/learn/six-sigma-define-measure-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Design\" and \"Measure\" phases of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the course \"Six Sigma and the Organization (Advanced)\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics,  statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","six-sigma; statistical-analysis; statistical-process-control; statistics; six-sigma-green-belt; process; analysis; green-belt; trigonometric-integral; process-control","Six Sigma Green Belt",2.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[6.6,29.3]","Romanian","English","business","leadership-and-management","usDrwZrMEeakABJ61gAZMA"]
["2. Upskill","Process Improvement","Six Sigma Advanced Analyze Phase","University System of Georgia","Advanced",5.2,4.73,"https://www.coursera.org/learn/six-sigma-analyze-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Analyze\" phase of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the courses \"Six Sigma and the Organization (Advanced)\" and \"Six Sigma Advanced Design and Measure Phase\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of hypothesis testing and design of experiments as they are associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","statistical-hypothesis-testing; trigonometric-integral; experiment; hypothesis-testing; variance; design-of-experiments; analysis-of-variance; hypothesis; analysis; six-sigma","Six Sigma Green Belt",3.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[2.6,7.2]","Romanian","English","business","leadership-and-management","3l6oe5rMEeajJhIEs83WWg"]
["2. Upskill","Process Improvement","Six Sigma Advanced Improve and Control Phases","University System of Georgia","Advanced",9.2,4.62,"https://www.coursera.org/learn/six-sigma-improve-control-advanced","This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the \"Improve\" and \"Control\" phases of the DMAIC structure of Six Sigma.\\n\\nIt is highly recommended that you complete the \"Yellow Belt Specialization\"  and the courses \"Six Sigma and the Organization (Advanced),\" \"Six Sigma Advanced Design and Measure Phase,\" and \"Six Sigma Advanced Analyze Phase\" before beginning this course.\\n\\nIn this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of root cause analysis, lean tools, control plan, process control, and statistical process control (SPC) as they are associated with Six Sigma and Lean. \\n\\nEvery module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. \\n\\nRegistration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","root-cause-analysis-rca; root; six-sigma; analysis; lean-six-sigma; six-sigma-green-belt; process; process-control; trigonometric-integral; green-belt","Six Sigma Green Belt",4.0,"https://www.coursera.org/specializations/six-sigma-green-belt","This specialization is for you if you are looking to learn more about the more advanced components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers a more advanced level of content (at the \"green belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is the second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma and the Organization (Advanced)\\n\\nCourse #2 - Six Sigma Advanced Define and Measure Phase\\n\\nCourse #3 - Six Sigma Advanced Analyze Phase\\n\\nCourse #4 - Six Sigma Advanced Improve and Control Phase\\n\\nAt the end of Course #4 (Six Sigma Advanced Improve and Control Phase), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma, but should assist in better preparation for such professional accreditation testing.","[4,11.9]","Romanian","English","business","leadership-and-management","9iD2iprMEeaUxQ4a06yGng"]
["2. Upskill","Process Improvement","Six Sigma Tools for Define and Measure","University System of Georgia","Beginner",5.8,4.56,"https://www.coursera.org/learn/six-sigma-tools-define-measure","This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will cover the Define phase and introduce you to the Measure phase of the DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about Six Sigma project development and implementation, you will become familiar with project management tools, you will be introduced to statistics and understand its significance to Six Sigma, and finally you will learn about data collection and its importance to an organization.\\n\\nEvery module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in peer review exercises to give you the opportunity to apply the material to your daily life.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","six-sigma; management; project-management; data-collection; project; statistics; measurement; trigonometric-integral; data-analysis; analysis","Six Sigma Yellow Belt",2.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[2.8,7.7]","NA","English","business","business-essentials","pHwuX4C7EeawAApvKZgcCQ"]
["2. Upskill","Process Improvement","Six Sigma Tools for Analyze","University System of Georgia","Beginner",6.0,4.68,"https://www.coursera.org/learn/six-sigma-analyze","This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. \\n\\nThe statistics module will provide you with an overview of the concepts and you will be given multiple example problems to see how to apply these concepts. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","studentized-residual; binomial-distribution; chi-squared-distribution; statistics; probability; data-analysis; trigonometric-integral; analysis; root; six-sigma","Six Sigma Yellow Belt",3.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[2.8,7.7]","NA","English","business","business-essentials","0A3l7IC7Eeax2hIyhBbMWQ"]
["2. Upskill","Process Improvement","Six Sigma Tools for Improve and Control","University System of Georgia","Intermediate",6.8,4.69,"https://www.coursera.org/learn/six-sigma-improve-control","This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the  improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.\\n\\nOur applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).","management; lean-six-sigma; trigonometric-integral; statistical-hypothesis-testing; process; process-improvement; process-control; hypothesis; statistics; six-sigma","Six Sigma Yellow Belt",4.0,"https://www.coursera.org/specializations/six-sigma-fundamentals","This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.\\n\\nIn this specialization, you will learn proven principles and tools specific to six sigma and lean.\\n\\nThis is a sequential, linear designed specialization that covers the introductory level content (at the \"yellow belt\" level) of Six Sigma and Lean. Yellow Belt knowledge is needed before advancing to Green Belt (which is a second specialization offered here on Coursera by the USG). Green Belt knowledge is needed before moving to a Black Belt.\\n\\nThe proper sequence of this specialization is:\\n\\nCourse #1 - Six Sigma Fundamentals\\n\\nCourse #2 - Six Sigma Tools for Define and Measure\\n\\nCourse #3 - Six Sigma Tools for Analyze\\n\\nCourse #4 - Six Sigma Tools for Improve and Control\\n\\nAt the end of Course #4 (Six Sigma Tools for Improve and Control), there is a peer-reviewed, capstone project. Successful completion of this project is necessary for full completion of this specialization.\\n\\nIt should be noted that completing either the Yellow Belt or Green Belt Specializations does not give the learner \"professional accreditation\" in Six Sigma. However, successful completion will assist in better preparation for such professional accreditation testing.","[3.8,9.3]","NA","English","business","business-essentials","OAyrZ4C8EeaajBLtQE6fuQ"]
["2. Upskill","Process Improvement","The hidden value – Lean in manufacturing and services","École des Ponts ParisTech","Advanced",19.4,4.7,"https://www.coursera.org/learn/lean-manufacturing-services","Lean is a powerful methodology that enables managers and employees to shift their mindset and helps companies to keep their business sustainable by creating competitive advantage. Today, in an increasingly complex and dynamic world, where companies struggle to maintain competitive advantage, Lean is more important than ever.\\n\\nThis course combines the experience of many senior experts and practitioners from the Boston Consulting Group and École des Ponts, and brings perspectives on Lean in manufacturing and services. It offers strong topic foundation as well as deep practical insights into the art of continuous improvement.\\n\\nIn this course, you will learn:\\n- why Lean is a key driver for sustainable competitive advantage\\n- how different companies can leverage Lean to create value both in manufacturing and services\\n- what it takes to drive a Lean transformation and build a culture of continuous improvement \\n- how new technologies impact traditional lean practices","kaizen; value-stream-mapping; streams; lean-thinking; manufacturing-process-management; lean-methods; mapping; lean-manufacturing; trigonometric-integral; six-sigma","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,22]","Greek","English","business","business-essentials","4-9JtLbjEeaqPQ5tUH5EoA"]
["2. Upskill","Process Improvement","Data Analytics for Lean Six Sigma","University of Amsterdam","Intermediate",15.3,4.81,"https://www.coursera.org/learn/data-analytics-for-lean-six-sigma","Welcome to this course on Data Analytics for Lean Six Sigma. \\n\\nIn this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.\\n\\nI will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. \\n\\nThe setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. \\n\\nI hope that you enjoy this course and good luck!\\nDr. Inez Zwetsloot & the IBIS UvA team","six-sigma; data-uri-scheme; lean-six-sigma; minitab; trigonometric-integral; regression-analysis; data-segment; data-analysis; statistics; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,18.6]","Romanian","English","data-science","data-analysis","X8wHJ9gYEeahUgoYYL5t3g"]
["2. Upskill","Quality Management","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["2. Upskill","Robotics","Control of Mobile Robots","Georgia Institute of Technology","Beginner",21.9,4.84,"https://www.coursera.org/learn/mobile-robot","Control of Mobile Robots is a course that focuses on the application of modern control theory to the problem of making robots move around in safe and effective ways. The structure of this class is somewhat unusual since it involves many moving parts - to do robotics right, one has to go from basic theory all the way to an actual robot moving around in the real world, which is the challenge we have set out to address through the different pieces in the course.","robot; linearity; behavior-based-robotics; robotics; mobile-robot; matlab; automaton; robot-control; modeling; null-character","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.9,27.6]","NA","English","computer-science","mobile-and-web-development","nymnhGMNEeWMMg7wwTZV_Q"]
["2. Upskill","Robotics","Modern Robotics, Course 1:  Foundations of Robot Motion","Northwestern University","Advanced",18.2,4.64,"robotics; matrices; Mechanical Engineering; robot control; matlab; industrial robotics; robot; industrial engineering; mobile robot; inverse kinematics","https://www.coursera.org/learn/modernrobotics-course1","Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?\\n\\nIf so, then the \"Modern Robotics:  Mechanics, Planning, and Control\" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.\\n\\nIn Course 1 of the specialization, Foundations of Robot Motion, you will learn fundamental material regarding robot configurations, for both serial robot mechanisms and robots with closed chains.  You will learn about configuration space (C-space), degrees of freedom, C-space topology, implicit and explicit representations of configurations, and holonomic and nonholonomic constraints.  You will also learn how to represent spatial velocities and forces as twists and wrenches.  This material is at the core of the study of anything that moves (e.g., robots).\\n\\nThis course follows the textbook \"Modern Robotics:  Mechanics, Planning, and Control\" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","Modern Robotics:  Mechanics, Planning, and Control",1.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","rAlpSmWgEeenbhIEmtW1dA"]
["2. Upskill","Robotics","Modern Robotics, Course 2:  Robot Kinematics","Northwestern University","Advanced",17.9,4.89,"chaining; integration testing; Mechanical Engineering; less (stylesheet language); robotics; industrial engineering; robot; python programming; matlab; open-source robotics","https://www.coursera.org/learn/modernrobotics-course2","Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?\\n\\nIf so, then the \"Modern Robotics:  Mechanics, Planning, and Control\" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.\\n\\nIn Course 2 of the specialization, Robot Kinematics, you will learn to solve the forward kinematics (calculating the configuration of the \"hand\" of the robot based on the joint values) using the product-of-exponentials formula.  Your efforts in Course 1 pay off handsomely, as forward kinematics is a breeze with the tools you've learned.  This is followed by velocity kinematics and statics relating joint velocities and forces/torques to end-effector twists and wrenches, inverse kinematics (calculating joint values that achieve a desired \"hand\" configuration), and kinematics of robots with closed chains.\\n\\nThis course follows the textbook \"Modern Robotics:  Mechanics, Planning, and Control\" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","Modern Robotics:  Mechanics, Planning, and Control",2.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","xNqPM2WgEeeqbxLIz9M6nA"]
["2. Upskill","Robotics","Modern Robotics, Course 3:  Robot Dynamics","Northwestern University","Advanced",15.9,4.76,"Framing; math; canthus; total set; matlab; beam robotics; industrial engineering; robotics; robot; Mechanical Engineering","https://www.coursera.org/learn/modernrobotics-course3","Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?\\n\\nIf so, then the \"Modern Robotics:  Mechanics, Planning, and Control\" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.\\n\\nIn Course 3 of the specialization, Robot Dynamics, you will learn efficient numerical algorithms for forward dynamics (calculating the robot's acceleration given its configuration, velocity, and joint forces and torques) and inverse dynamics (calculating the required joint forces and torques given the robot's configuration, velocity, and acceleration).  The former is useful for simulation, and the latter is useful for robot control.  You will also learn how to plan robot trajectories subject to dynamic constraints.\\n\\nThis course follows the textbook \"Modern Robotics:  Mechanics, Planning, and Control\" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","Modern Robotics:  Mechanics, Planning, and Control",3.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","5BkQRGWgEeeGgwo-Z1z46A"]
["2. Upskill","Robotics","Modern Robotics, Course 4:  Robot Motion Planning and Control","Northwestern University","Advanced",16.2,4.88,"null character; computer programming; motion planning; robot; matlab; robotics; robot control; graphs; graph traversal; Mechanical Engineering","https://www.coursera.org/learn/modernrobotics-course4","Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?\\n\\nIf so, then the \"Modern Robotics:  Mechanics, Planning, and Control\" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.\\n\\nIn Course 4 of the specialization, Robot Motion Planning and Control, you will learn key concepts of robot motion generation:  planning a motion for a robot in the presence of obstacles, and real-time feedback control to track the planned motion.  Chapter 10, Motion Planning, of the \"Modern Robotics\" textbook covers foundational material like C-space obstacles, graphs and trees, and graph search, as well as classical and modern motion planning techniques, such as grid-based motion planning, randomized sampling-based planners, and virtual potential fields.  Chapter 11, Robot Control, covers motion control, force control, and hybrid motion-force control.\\n\\nThis course follows the textbook \"Modern Robotics:  Mechanics, Planning, and Control\" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","Modern Robotics:  Mechanics, Planning, and Control",4.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","-AclO2WgEeeqbxLIz9M6nA"]
["2. Upskill","Robotics","Modern Robotics, Course 6:  Capstone Project, Mobile Manipulation","Northwestern University","Intermediate",5.5,4.92,"industrial engineering; inverse kinematics; hydraulics; robotics; matlab; robot; Framing; robot control; mobile robot; Mechanical Engineering","https://www.coursera.org/learn/modernrobotics-course6","The capstone project of the Modern Robotics specialization is on mobile manipulation: simultaneously controlling the motion of a wheeled mobile base and its robot arm to achieve a manipulation task.  This project integrates several topics from the specialization, including trajectory planning, odometry for mobile robots, and feedback control.  Beginning from the Modern Robotics software library provided to you (written in Python, Mathematica, and MATLAB), and software you have written for previous courses, you will develop software to plan and control the motion of a mobile manipulator to perform a pick and place task.  You will test your software on the KUKA youBot, a mobile manipulator consisting of an omnidirectional mecanum-wheel mobile base, a 5-joint robot arm, and a gripper.  The state-of-the-art, cross-platform V-REP robot simulator will be used to simulate the task.","Modern Robotics:  Mechanics, Planning, and Control",6.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","kMqpSWWhEee1VA7DqjUt-A"]
["2. Upskill","Robotics","Modern Robotics, Course 5:  Robot Manipulation and Wheeled Mobile Robots","Northwestern University","Advanced",27.2,4.55,"transverse orientation; robot; fire hydrant; matlab; shippable; industrial engineering; toilet seat; robotics; Mechanical Engineering; flush toilet","https://www.coursera.org/learn/modernrobotics-course5","Do you want to know how robots work?  Are you interested in robotics as a career?  Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics?\\n\\nIf so, then the \"Modern Robotics:  Mechanics, Planning, and Control\" specialization may be for you.  This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.  It is not a sampler.\\n\\nIn Course 5 of the specialization, Robot Motion Planning and Wheeled Mobile Robots, we delve into advanced topics in robotics.  Chapter 12, Grasping and Manipulation, of the \"Modern Robotics\" textbook covers the modeling of kinematics and forces between rigid bodies in contact, and applies the modeling to analysis and planning of robot grasping and other manipulation tasks.  Chapter 13, Wheeled Mobile Robots, covers modeling, motion planning, and feedback control of omnidirectional and nonholonomic wheeled mobile robots, and concludes by addressing control of mobile manipulators consisting of a wheeled mobile base and a robot arm.\\n\\nThis course follows the textbook \"Modern Robotics:  Mechanics, Planning, and Control\" (Lynch and Park, Cambridge University Press 2017).  You can purchase the book or use the free preprint pdf.  You will build on a library of robotics software in the language of your choice (among Python, Mathematica, and MATLAB) and use the free cross-platform robot simulator V-REP, which allows you to work with state-of-the-art robots in the comfort of your own home and with zero financial investment.","Modern Robotics:  Mechanics, Planning, and Control",5.0,"https://www.coursera.org/specializations/modernrobotics","This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students' understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.","NA","NA","English","physical-science-and-engineering","mechanical-engineering","GwFPG2WhEeeHUQ7JlgRprA"]
["2. Upskill","Supply Chain","Key Success Factors in Supply Chain Finance","New York Institute of Finance","Intermediate",32.7,4.56,"https://www.coursera.org/learn/key-success-factors-supply-chain-finance","Implement and manage a successful financing program for a corporate buying organization by learning about the key success factors in Supply Chain Finance. In this course, you'll learn about the challenges and bottlenecks in Supply Chain Finance and understand their impact on Supply Chain Finance programs. This course will help you understand who the ideal customer is for a Supply Chain Finance program and understand how revenue is generated and such programs are priced. You'll learn about the relevant factors for suppliers to come onboard and trade as well as identify the key roles and responsibilities involved in Supply Chain Finance.\\n\\nAdditionally, this course will explain how to develop metrics and list the necessary elements for developing an effective financing program. By the end of this course, you’ll be able to perform a pre-sales analysis and a detailed supplier analysis, which are crucial for setting up a Supply Chain Finance program.","supply-chain; blockchains; supply-chain-analytics; swift-programming-language","Supply Chain Finance and Blockchain Technology",2.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[11.7,52.4]","NA","English","business","finance","ZGLe-go7EemaoQ6n9kv2xA"]
["2. Upskill","Supply Chain","Supply Chain Finance Market and Fintech Ecosystem","New York Institute of Finance","Intermediate",10.6,4.45,"https://www.coursera.org/learn/supply-chain-finance-market-fintech-ecosystem","This course provides an in-depth understanding of the Supply Chain Finance market including insights on the potential and current market size, market penetration, growth, and distribution. You’ll be introduced to the four distinctive groups serving the Supply Chain Finance market and learn about the main stakeholders and market participants in a Supply Chain Finance program. By the end of the course, you’ll have reviewed the key trends and upcoming risks affecting Supply Chain Finance and gained a deeper understanding of the key challenges in the market amongst corporate clients, banks, non-bank financiers and technology service providers.","economics; blockchains; financial-technology; supply-chain; ecosystem; swift-programming-language","Supply Chain Finance and Blockchain Technology",3.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[4.5,17.2]","NA","English","business","finance","gxAcAAo7Eemr6Q4Noor3UA"]
["2. Upskill","Supply Chain","Future Development in Supply Chain Finance and Blockchain Technology","New York Institute of Finance","Intermediate",5.0,4.46,"https://www.coursera.org/learn/future-developments-supply-chain-finance-blockchain-technology","This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. \\n\\nThis course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.","scaling; supply-chain; swift-programming-language; chaining; blockchains","Supply Chain Finance and Blockchain Technology",4.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[2.2,7.8]","NA","English","business","finance","p7Ql1go7EemaoQ6n9kv2xA"]
["2. Upskill","Supply Chain","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner","12.5",4.72,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","Logistics Management; Planning; inventory; management; Logistics Planning; plan; Transportation Logistics; chaining; Warehouse Management; supply chain","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","NA","Greek; Vietnamese; German; Arabic; Russian","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["2. Upskill","Supply Chain","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner","10.9",4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient.  Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","operations management; supply chain; lean thinking; six sigma; trigonometric integral; management; inventory; chaining; lean six sigma; stock","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","NA","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["2. Upskill","Supply Chain","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner","12.6",4.61,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","average; forecasting; demand forecasting; chaining; Supply Chain Planning; Planning; demand; supply chain; moving average; smoothing","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","NA","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["2. Upskill","Supply Chain","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner","10.4",4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","management; Sourcing Best Practices; sources; chaining; Supply Chain Sourcing; procurement; best practice; Strategic Sourcing; evaluation; supply chain","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","NA","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["2. Upskill","Supply Chain","Supply Chain Management Strategy","Rutgers the State University of New Jersey","Intermediate","16.1",4.73,"https://www.coursera.org/learn/supply-chain-management-strategy","Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain.  This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.","supply chain; management; supply chain risk management; chaining; operations management; supply chain management; procurement; forecasting; flow network; Supply Chain Strategy","Supply Chain Management",5.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","NA","Vietnamese","English","business","business-strategy","_yBsbgzOEeaX4g6xdats6w"]

{"sheet":"8. Pub","index":14,"n_rows":91,"n_cols":20,"rows_kept":91,"cut":false,"hidden":false,"merged":[]}
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["Public Sector","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",{"$nulls":4},"Back to industry summary page"]
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["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Democracy","Securing Digital Democracy","University of Michigan","Advanced",17.9,4.84,"https://www.coursera.org/learn/digital-democracy","In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.","computer-security; security; usability; access-control; null-character; operating-system; internet; elections; voting; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.5,22.9]","NA","English","computer-science","computer-security-and-networks","52n7Ml8SEeSiWyIACyQQqQ"]
["1. Literacy","Economics & Public Policy","Poverty & Population: How Demographics Shape Policy","Columbia University","Intermediate",14.0,4.8,"https://www.coursera.org/learn/poverty-population-demographics-policy","This course has four modules, or foci.  The first is to understand the categories of social welfare—populations, income, earnings, and assets— and some related concepts that play a very large role in shaping policy decisions: unemployment, inflation, and the minimum wage.  The second deals with the central institution of social welfare—the labor market, which largely determines how many resources a person has.  The labor market also establishes hierarchy, both through meritocracy and through categories of privilege.  The third is poverty: the differing ways we define who is poor, and how effective U.S. anti-poverty efforts have been.  The final module looks directly at federal decision making, the political organization of ideas, the structure of U.S. government, and the legislative process that shapes much of our social policy. This course addresses issues of power, oppression, and white supremacy.\\n\\nThe course is part of a sequence in social policy that has an HONORS TRACK. This track will prepare the learner for masters-level work in policy, which involves reading the literature, writing concise summaries and probing critiques. Over the sequence the learner will develop a policy analysis that will create a foundation for professional policy analyst assignments.","demography; policy-analysis; social-work","Social Policy for Social Services & Health Practitioners",3.0,"https://www.coursera.org/specializations/social-welfare-policy","In the U.S., social policy accounts for two-thirds of government spending. Knowing how policies are constructed, what values underlie them, and how they succeed or fail makes everyone more effective at work or in their civic role. This specialization includes an HONORS track in which learners will complete a professional social policy analysis.\\n\\nTeachers, health care workers, police, and social workers interact with policy daily, but all of us should care about the impact and effectiveness of these programs. Health and mental health programs, education, housing and income supports, pensions, criminal justice services, veterans’ programs, child protective services, and immigration services create a support system all Americans will draw upon. They also reveal Americans' ethics and values, indicating how we regard and care for our most vulnerable.\\n\\nThis specialization will explore the size, structure, and outcomes of U.S. social policy by\\n\\n-comparing it with the approaches of other developed nations.\\n\\n-examining the history of our efforts and probing population effects that shape policy.\\n\\n-looking deeply into support for families in general, poor families, people with disabilities, and the elderly.\\n\\n-mapping out existing policies for housing, education, healthcare, immigration and child welfare.\\n\\n-addressing issues of power, oppression, and white supremacy.\\n\\nBy the end of the course the learner will be at home working in, utilizing, and voting in the U.S. welfare system.","[5.3,18.6]","NA","English","social-sciences","governance-and-society","DCFXHUTeEeiCFArE3fR-sA"]
["1. Literacy","Economics & Public Policy","Country Level Economics: Policies, Institutions, and Macroeconomic Performance","University of Illinois at Urbana-Champaign","Advanced",14.9,4.39,"https://www.coursera.org/learn/macroeconomic-factors","This course examines macroeconomic performance in the short run and the long run based on the economy’s institutional and policy environment. The first module develops a model of macroeconomy in the short run when the price level has its own momentum and does not respond much to supply and demand forces. The model enables one to see how GDP, interest rate, and exchange rate are determined in the short run and how they respond to macroeconomic shocks and policies.\\n\\nThe second module starts the analysis of long-run equilibrium by examining the foreign exchange market. It then connects the long-run outcome with expectations about the future trends in the exchange rate at each moment, which constitute a key driver of the spot exchange rate in the short run. The methodology developed for this purpose can be applied to expectations concerning other macroeconomic variables as well. Finally, the long-run foreign exchange model is employed to derive a number of important lessons for the long run trends in currency values and competitiveness of producers in various countries.\\n\\nThe third module examines the drivers of aggregate output in the long run and the mechanisms of adjustment from the short run to the long run. The model provides insights about why some countries are much richer than others and why some economies grow faster than others over decades. The analysis also sheds light on why inflation varies across countries or over time in the same country. The model is employed to analyze the sources of macroeconomic instability and the roles of fiscal and monetary policies in stabilization or destabilization of the macroeconomy.\\n\\nThe final module discusses the characteristics of desirable macroeconomic policies and the reasons why actual policies deviate from them. It connects these deviations to country characteristics that one needs to take into account when assessing a country’s long-term macroeconomic environment. The module ends with a discussion of the institutional conditions that help bring about better fiscal and monetary policies.\\n\\nAt the end of this course, you will be able to:\\n•\\tUnderstand how the market for aggregate goods and services interacts with the money market to shape the macroeconomic equilibrium that determines income, interest rate, and exchange rate in the short run.\\n•\\tUnderstand the links between the short-run and long-run processes.\\n•\\tAssess the dynamic effects of macroeconomic policies and understand the roles of globalization, government policies, institutions, and expectations in macroeconomic outcomes.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","economic-policy; market-economics; economy; economics; fiscal-policy; economic-analysis; finance; monetary-policy; analysis; integration-testing","Managerial Economics and Business Analysis",4.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[8.3,17.3]","NA","English","business","finance","1R3OgJz8EeWlGQ5Xb9b0kw"]
["1. Literacy","Nonprofit","Introduction to the Nonprofit Sector, Nonprofit Organizations, Nonprofit Leadership and Governance","The State University of New York","Intermediate",12.3,4.39,"https://www.coursera.org/learn/nonprofit-organizations","This course introduces you to the nonprofit sector, nonprofit organizations, and the concepts of leadership and governance. While this course has been developed with North American culture in mind, we do appreciate that in other parts of the world the nature of the nonprofit sector, nonprofit organizations, nonprofit leadership and governance may not be the same. Nevertheless, it is our hope that much of the course content will still be of value to those in other parts of the world. \\n\\nTo learn more about this course, please watch the overview video by copying and pasting the following link into your web browser: https://goo.gl/YMg1Qd.\\n\\nKeywords: Nonprofit; Nonprofit Sector; Voluntary Sector; Nonprofit Organizations, Non-Governmental Organizations, Volunteer Organizations, Leadership, Management, Governance, Board, Board of Directors, Performance, Effectiveness\\n\\nCourse 1 Overview: \\n\\nWeek 1: Some of the questions you will explore this week are: What is the nonprofit sector and why does it exist?  What are the unique characteristics of nonprofit organizations? What are the trends and emerging issues facing organizations in the nonprofit sector?\\n\\nWeek 2: Questions to be explored this week are: What is leadership at the governance level and how is it different from management?  What is good governance and why does it matter? What is a board of directors?\\n\\nWeek 3: This week's questions: What roles do board members play in nonprofit organizations? Broadly speaking, what are boards responsible for and how do they go about their work? What are some of the issues that challenge the board's ability to go its work?\\n\\nWeek 4: At this stage, you are asked to review the course content, submit a written assignment (known lightheartedly as a BEAR (Board Effectiveness Readiness Assessment), and take two multiple choice Readiness Assurance Tests (known similarly as RATs). One RAT will assess knowledge and reading comprehension and the other will test application of knowledge within a practical case.  \\n\\nWeek 5: We will encourage you to discuss the RATs in the discussion forums and take them again should you wish to change any of your answers based on the information exchanged.","project; corporate-governance; board-of-directors; corporate-bond; concept-testing; yottabyte; leadership; peer-review; peering; management","Improving Leadership & Governance in Nonprofit Organizations",1.0,"https://www.coursera.org/specializations/nonprofit","Identify and analyze leadership and governance issues, create practical ways to improve board performance and work with boards to implement these improvements.\\n\\nThis Specialization consists of three courses plus a Capstone Project: (1) Course 1 topics: The unique nature of the nonprofit sector in society; leadership in nonprofit organizations and the governance process. (2) Course 2 topics: The roles and responsibilities of nonprofit organization boards of directors and the challenges in carrying them out effectively. (3) Course 3 topics: The critical factors that impact the ability of the board to govern and how to intentionally change them into positive influences. The Capstone Project: How to help real boards overcome inertia and resistance to change and improve their governance effectiveness in an applied service learning experience. To learn more about the series of courses, please watch the Welcome Video.","[8.5,14.4]","NA","English","business","leadership-and-management","Hr9lByyfEeWccAqzeA4VPw"]
["1. Literacy","Public Health","Foundations of Public Health Practice: Health Protection","Imperial College London","Beginner",6.7,5.0,"https://www.coursera.org/learn/health-protection","The Health Protection course is the fourth instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over three modules (intended for three weeks of learning), learners will become familiar with the scope, principles and nuances of health protection in the context of public health practice. Beginning with the basics of Water, Sanitation and Health (WASH) based interventions, the course will introduce learners to the science and principles of practical microbiology, before examining vaccines, incident management and the threat posed by a wide range of manmade and natural environmental threats. By the end of this course, learners will be familiar and conversant with core health protection principles and approaches, and confident in discussing health protection issues when they move into practice.","epidemic; microbiology; public-health","Foundations of Public Health Practice",4.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.","[4.2,7.9]","NA","English","life-sciences","public-health","OwkjCa-wEem5JxJyvVjVag"]
["1. Literacy","Security","Homeland Security and Cybersecurity Future","University of Colorado System","Intermediate",7.5,4.72,"https://www.coursera.org/learn/homeland-security-cybersecurity-future","This course takes a look at the future of cybersecurity with respect to what is being done to lessen the potential for catastrophic destruction resulting from cyber attack on critical infrastructure.  In this respect, we take a short survey of potential technological solutions and response options.  We conclude this module by taking a look at unique aspects of the cyber profession and personal considerations for those who want to make cybersecurity a career.","analytics; security; common-sense; awareness; risk-management; critical-infrastructure-protection; computer-security; integration-testing; risk; management","Homeland Security and Cybersecurity",4.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.7,10.4]","NA","English","social-sciences","governance-and-society","I9K1SdkZEea7lQ7A_W1MbA"]
["1. Literacy","Social Sector","Design Thinking for the Greater Good: Innovation in the Social Sector","University of Virginia","Intermediate",14.4,4.42,"https://www.coursera.org/learn/uva-darden-design-thinking-social-sector","Do you work for a nonprofit or in the social sector? Are you struggling to solve the problems and meet the needs of the people you serve? Come learn more about how design thinking, a human-centered approach to problem solving, can help you truly understand an issue, generate ideas worth testing and iterate to find solutions that make a real difference. Through global stories from areas as diverse as government, health care, and education, we’ll show you the tools, techniques and mindset needed to use design thinking to uncover new and creative solutions in the social sector.\\n\\nThe development of this course was supported by the Batten Institute for Entrepreneurship and Innovation at the University of Virginia's Darden School of Business. For more about the Batten Institute, see:\\nhttp://www.darden.virginia.edu/batten-institute/ \\n@BattenInstitute\\n@DesignatDarden","innovation; design-thinking; facilitation; mapping; social-work; social-entrepreneurship; thought; problem-solving; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10,19.1]","NA","English","social-sciences","education","bfnQqUbbEeeMtBKozo_2UA"]
["2. Upskill","Economics & Public Policy","Understanding economic policymaking","IE Business School","Advanced",24.2,4.77,"https://www.coursera.org/learn/economic-policy","This is the first of the three courses part of the Globalization, Economic Growth and Stability Specialization. This course will employ a non-technical approach to analyze how governments use policy to influence a country's economy. Upon completing the course you should be able to discuss national debts and deficits, examine fiscal and monetary policy and their appropriateness to the situation of an economy, and anticipate the results of fiscal and monetary policies and structural reform on a country. These concepts will give you the tools to develop your own position in many current economic debates, such as fiscal stimulus vs. austerity, the merits of quantitative easing, the need for higher interest rates or the future growth path of many modern economies.","economic-policy; economy; economics; learning; integration-testing; economic-analysis; monetary-policy; microeconomics; crisis; debt","Globalization, Economic Growth and Stability",1.0,"https://www.coursera.org/specializations/globalization-economic-growth-and-stability","This Specialization aims to make economic concepts accessible to every learner, and to teach them to analyze current events using the toolkit of economics. It begins by explaining the basic parameters of the macroeconomy, and how governments can/should use both fiscal and monetary policy to influence growth, inflation and employment. It then moves on to the international arena, where countries interact, and explains the basic principles of free trade, exchange rates, the balance of payments and immigration and how these interactions affect our everyday lives. Finally, learners will apply these tools and concepts to the world's leading economies and discover how they can \"read\" from a country's economic data important lessons about the risks and opportunities of doing business in these countries, equipping them with tools that they can use in the workplace and even in their personal investment decisions.","[15.3,36.9]","Spanish; Arabic; Turkish","English","social-sciences","governance-and-society","XeB2pvgkEeS36CIACw8Krw"]
["2. Upskill","Economics & Public Policy","Health, Housing, and Educational Services","Columbia University","Intermediate",23.3,4.91,"https://www.coursera.org/learn/health-housing-educational-services","Course 5 discusses policies in four areas: housing, education, healthcare, and immigration, with an optional fifth module in child protection. This course addresses issues of power, oppression, and white supremacy.\\n\\n-First we’ll look at housing policy, with its contrasting supports for homeowners and renters.  \\n\\n-Then we’ll interpret the structure that provides education and examine debates about its future.\\n\\n-The third module will differentiate the issues in the U.S. healthcare system and develop  the structure of public healthcare programs.  \\n\\n-Next, the course will lay out immigration policies and weigh the push and pull of the debate about immigration reform. \\n\\n-The optional fifth module traces the child protection system its beginnings to the present day and appraises the failures and strengths of the system.  \\n \\nThe course is part of a sequence in social policy that has an HONORS TRACK. This track will prepare the learner for masters-level work in policy, which involves reading the literature, writing concise summaries and probing critiques.   Over the sequence the learner will develop a policy analysis that will create a foundation for professional policy analyst assignments.","social-work; housing; policy-analysis","Social Policy for Social Services & Health Practitioners",5.0,"https://www.coursera.org/specializations/social-welfare-policy","In the U.S., social policy accounts for two-thirds of government spending. Knowing how policies are constructed, what values underlie them, and how they succeed or fail makes everyone more effective at work or in their civic role. This specialization includes an HONORS track in which learners will complete a professional social policy analysis.\\n\\nTeachers, health care workers, police, and social workers interact with policy daily, but all of us should care about the impact and effectiveness of these programs. Health and mental health programs, education, housing and income supports, pensions, criminal justice services, veterans’ programs, child protective services, and immigration services create a support system all Americans will draw upon. They also reveal Americans' ethics and values, indicating how we regard and care for our most vulnerable.\\n\\nThis specialization will explore the size, structure, and outcomes of U.S. social policy by\\n\\n-comparing it with the approaches of other developed nations.\\n\\n-examining the history of our efforts and probing population effects that shape policy.\\n\\n-looking deeply into support for families in general, poor families, people with disabilities, and the elderly.\\n\\n-mapping out existing policies for housing, education, healthcare, immigration and child welfare.\\n\\n-addressing issues of power, oppression, and white supremacy.\\n\\nBy the end of the course the learner will be at home working in, utilizing, and voting in the U.S. welfare system.","[9.9,33.3]","NA","English","social-sciences","governance-and-society","v_59UuMIEeirDRKG6AH7WA"]
["2. Upskill","Economics & Public Policy","Economics of Transition and Emerging Markets","National Research University Higher School of Economics","Beginner",21.4,4.31,"https://www.coursera.org/learn/economics-transition-emerging-markets","The course analyzes challenges faced by transition and emerging-market economies, i.e., those middle- and low-income countries, which have conducted market-oriented economic reforms and become integrated into the global economy since 1990s. \\n\\nIt starts from a brief history of communist economic system based on central planning in the former Soviet Union and Central and Eastern Europe, its evolution and collapse at the end of 1980s/ early 1990s and subsequent transition to a market system in 1990s and 2000s. Then it analyzes experience of market reforms in China, India, other Asian countries, Middle East and North Africa, Sub-Saharan Africa and Latin America at the same period. Finally, it discusses the problems of contemporary global economy and global and regional economic governance with the special focus given to emerging-market economies and their role.\\nBy the end of the course you will be able to analyse emerging-market economies and economies in transition, taking into account their crucial characteristics and historical experience.\\n\\nParticipation in the course does not require any preconditions, however, basic economic knowledge would be an advantage.\\n\\nIn order to pass successfully this course you must score not less than 80% for each of six after module quizzes and complete the peer-assessed essay at the end of the course.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","crisis; financial-crisis; global-financial-system; economy; economics; emerging-markets; global; market-economics; global-financial-crisis; finance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.9,30.6]","NA","English","social-sciences","economics","VkYMdI_XEeWZyg6bf_Oxkw"]
["2. Upskill","Economics & Public Policy","Public Economics","National Research University Higher School of Economics","Advanced",23.3,4.39,"https://www.coursera.org/learn/public-economics","This course offers an introduction into the public economics theory. It does not aspire to cover theories of taxation, public expenditures, regulation etc. at length and in-depth. Rather, our ambition is to give a bird's-eye view of central themes of public economics and related disciplines, and teach concepts, logic, and ideas, rather than methods of analysis, which would require an entirely different course format.\\n\\nOur choice of topics covered by the course reflects a trade-off between salience and centrality, on the one hand, and suitability for a brief online introductory course, on the other. The course content is neither comprehensive (which would be a \"mission impossible\" for virtually any public economics course\"), nor representative of other such courses. With these limitations and caveats in mind, we encourage our students to continue their public economics studies in a more regular fashion, and see our role inter alia in motivating interest in such \"continued education\".\\n\\nThe central theme of the course is the role of government as a mechanism of resource allocation which complements and augments markets. Governments are viewed as public agencies set to correct market failures. Such agencies however are prone to failures of their own, and hence markets and governments are two imperfect alternatives. We deal with government's limitations, with particular emphasis on those that have to do with informational asymmetry, limited administrative capacity, and imperfect accountability to society. Otherwise the course's man themes are economics of taxation, regulation, politics of public economics, incentives in government, and government vis-à-vis (civil) society.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","learning; preference-economics; economy; modeling; analysis; economic-analysis; economic-models; economics; public-administration; taxation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.9,31.6]","NA","English","social-sciences","economics","0GYQX5MEEeWBAQoVMoNgNQ"]
["2. Upskill","Economics & Public Policy","Local Economic Development","Erasmus University Rotterdam","Intermediate",11.5,4.78,"https://www.coursera.org/learn/local-economic-development","Welcome to this MOOC on Local Economic Development (LED). Local economic development refers to the processes by which local governments, businesses, and civil society groups get together to raise income sustainably and improve their lives in a well-defined area. It’s about creating jobs, securing livelihoods, improving infrastructure and managing local resources.\\n\\nWhat do I learn?\\n\\nWe will be dealing with questions such as the following. Why does economic development take place in some areas of the world and not in others? Why doesn’t it happen in your place? What prevents people from having the lives they want to live right there? Could your region make more of the opportunities of globalization and new technologies? Did the promises of decentralization in your country fail to deliver better public services and more responsive governments? If these are the questions you are asking yourself, this is the right course for you. It explores the where, who and how of economic development.\\n\\nPlease have a look at our list of contents for the coming 8 weeks:\\n1.\\tWhat is LED? What drives it?\\n2.\\tHow does globalization shape LED?\\n3.\\tHow does decentralisation affect LED?\\n4.\\tHow does competitiveness affect innovation?\\n5.\\tWhat are entrepreneurship and its dimensions?\\n6.\\tWhy are value chains and clusters so important?\\n7.\\tWhat are some LED strategies?\\n8.\\tYour project\\n\\nHow will I learn?\\n\\nIn each week you will be able to access the content of the videos, suggested readings and additional videos for selective deepening. You will also find assignments that you have to complete if you want to earn a certificate for this MOOC. We will first introduce our “toolkit”, a series of theories and concepts that will help you read the situation in your locality. We will explore the main factors affecting local economic development, such as globalization, decentralisation, and competitiveness. We will discuss key components, like entrepreneurship and innovation and look into the organization of local economies into clusters, value chains and learning regions. We will conclude by deepening on some specific constructs that make local economies grow to benefit their communities. You will also contribute your ideas in the discussion forums, where you will learn from other participants around the world. \\n\\nWhat makes this course special? \\nThere is plenty of information in Internet on local economic development, which is mostly prepared by international donors or multilateral organisations. So what does this course do differently? First of all, the course is offered by academics that have significant published research on local economic development. This course gathers a wealth of academic knowledge that often fights the assumptions on what things are supposed to be like. Second, the instructors of this course have participated in dozens of capacity building projects in Latin America, Asia, Eastern Europe and Africa. Putting learning at the centre, they worked with communities, local governments, international donors and business associations. They often found a significant distance between theory and practice in local economic development, and this has been the basis of learning. Third, the course is acutely aware that each region is different and does not attempt to offer a one-size-fits-all recipe. It singles out key factors that drive local economic development and enables participants to do their own learning process, defining local problems and appropriate solutions. The aim of the course is that participants come up with their own ideas on how to promote local economic development.\\n\\nHow will I get a certificate?\\n\\nIf you want a certificate for participating in this MOOC, you will need to complete a small assignment each week and participate in the discussion forums. In the end of the MOOC, you will put these contributions together in one final document, your Capstone Project. \\n\\nI hope you find this course exciting and that you get to share our passion for promoting local economic development. \\n\\nYour instructors\\nDr. Georgina M. Gómez, ISS\\nProf. Emeritus AHJ (Bert) Helmsing, ISS\\nDr. Jan Fransen, IHS","cluster-development; economic-development; data-clustering-algorithms; economics; innovation; l&d-strategy; chaining; value-chain; analysis; entrepreneurship","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.1,15.7]","Turkish","English","social-sciences","economics","4jFBAF1oEee5pxIr-Fg01A"]
["2. Upskill","Economics & Public Policy","Innovative Governance of Large Urban Systems","École Polytechnique Fédérale de Lausanne","Intermediate",10.9,5.0,"https://www.coursera.org/learn/iglus","Learn about the three phases of the urban value chain: planning, governance and regeneration. With lecturers from all around the world and concrete case studies, this course will give you a comprehensive overview about the “Innovative Governance of Large Urban Systems”.  \\n\\nThis course has assembled  some of the most relevant experiences and knowledge from our Innovative Governance of Large Urban Systems (IGLUS) Executive Master’s program, which has been offered by  EPFL during the past 5 years. IGLUS consists of 2-week action-learning organized in over 10 major cities around the world, during which participants acquire an in-depth understanding of the challenges cities are facing and the ways they are addressing them. This MOOC will share this knowledge with you, thanks to some of our lecturers from various disciplines and from all around the world. \\n\\nDuring this course, you will learn about the three phases of the urban value chain, which are: planning, governance and regeneration. In particular, we will address the unique challenges of the phases and ask questions such as:  how to design cities? How to govern them, especially when it comes to their institutional, financial, economic and social dimensions? And how to regenerate urban spaces?","urban-planning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.1,13]","NA","English","social-sciences","economics","rSq_PCAAEeqlcwp1n32-AQ"]
["2. Upskill","Economics & Public Policy","Monetary Policy in the Asia Pacific","The Hong Kong University of Science and Technology","Intermediate",12.8,4.88,"https://www.coursera.org/learn/monetary-policy-asia-pacific","Watch the introduction video to the course here:  https://youtu.be/U7dQzqtIFVg\\n\\nThe Asia-Pacific region contains some of world’s most dynamic economies. Economies around the globe rely on credible monetary policy implemented by central banking institutions. Monetary policy governs the liquidity available to the payment systems that underlie trade and finance. Smooth adjustment of liquidity can minimize instability in money and foreign exchange markets and keep inflation and growth on a secure footing. The industrial giants of China, Japan, and Korea; the Southeast Asian emerging markets of Indonesia, Malaysia, Philippines, and Thailand; and the international entrepots at Hong Kong and Singapore each face unique challenges in implementing liquidity policy.\\n\\nThis advanced course will build a foundation for understanding liquidity policy implementation in the Asia-Pacific using standard economic models. The course will discuss the effects of high level discussion of a key element of national level public policy, monetary policy.  Modern monetary policy connects macroeconomic conditions and key financial market indicators. It will also analyze the way that central bank goals for macroeconomic stability will determine outcomes in interest rates and exchange rates. The rigorous theoretical foundation should also build analytical skills that might be applied to policy and market analysis in a broad range of economies and even in the Asia-Pacific region as policy-making evolves in the future.\\n\\nThe topics covered each week:\\n\\nModule 1 - Monetary Policy Implementation\\nModule 2 - Monetary Policy Strategy\\nModule 3 - Exchange Rates and Monetary Policy\\n\\nAfter taking this course and going through the interactive activities, you will be able to:\\n\\n(1)  Describe Monetary Policy instruments central banks use\\n(2)  Interpret on-going actions of central banks\\n(3)  Apply graphical analysis and calculate basic economic measures used as tools by central banks or analysts\\n(4)  Analyze the way that central bank goals for macroeconomic stability will determine outcomes in interest rates and exchange rates","policy-analysis; foreign-exchange; economic-models; economics; banking; financial-economics; monetary-policy; finance; modeling; foreign-policy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.5,16]","NA","English","social-sciences","economics","RwznMeX3Eeee0grgesqvUg"]
["2. Upskill","Economics & Public Policy","Model Thinking","University of Michigan","Beginner",37.8,4.77,"https://www.coursera.org/learn/model-thinking","We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. \\n\\nThe models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!","economics; thought; strategic-thinking; modeling; systems-thinking; economic-models; decision-making; integration-testing; critical-thinking; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.6,50.4]","Turkish; Chinese; Arabic; Ukrainian; Portuguese","English","social-sciences","economics","kbmiwPT-EeSW1SIAC3oCCQ"]
["2. Upskill","Economics & Public Policy","Microeconomics Principles","University of Illinois at Urbana-Champaign","Intermediate",26.1,4.75,"https://www.coursera.org/learn/microeconomics","Most people make the incorrect assumption that economics is ONLY the study of money. My primary goal in this course is to shatter this belief. During this course, we will be addressing the above questions as well as many more relating to:\\n\\n-the environment\\n-love and marriage\\n-crime\\n-labor markets\\n-education\\n-politics\\n-sports\\n-business\\n\\nMy main goal is to show you the way economists think and how to use this analytical system to answer questions related not only to these and other important human issues but to anything you end up doing with your life after this class. After all, as you will quickly find out, I believe that everything is economics!","pricing; economic-analysis; supply-and-demand; supply-chain; demand; economics; market-economics; microeconomics; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.7,35.6]","Chinese; Spanish","English","social-sciences","economics","mfjjVlfwEeS-9SIACw8Vcg"]
["2. Upskill","Economics & Public Policy","Political Economy of Institutions and Development","Universiteit Leiden","Intermediate",23.0,4.7,"https://www.coursera.org/learn/political-economy","This course is part of the SDG initiative <http://www.sdginitiative.org/> addressing the UN Sustainable Development Goals, specifically for the following SDGs [1, 8, 10 and 16]. We hope you will join in our efforts to reach the SDG’s in small but measurable and actionable ways, cooperating with Development Done Differently. Expand your impact. You can create a better world.\\n\\nIn today’s world, politics and economics are interconnected, but what is the nature of this connectivity? What are the power relationships that shape the world economy today and create new challenges for international institutions facing globalization? What makes some countries wealthier than others? Do we face cultural diversity or fragmentation? Does the type of governance effect economic development and social change or is it the other way around? How do we measure it and how trustworthy is the data?  These issues and many more will be examined in this course along with a wide library of sources and a biting criticism.","economics; economic-development; international-relations; history; analysis; gratitude; index; global; economy; statistics","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.6,30.4]","NA","English","social-sciences","governance-and-society","8zTRXygjEeaJ4A5nUusxQQ"]
["2. Upskill","Economics & Public Policy","Agriculture, Economics and Nature","University of Western Australia","Intermediate",18.7,4.69,"https://www.coursera.org/learn/agriculture-economics-nature","Sound economic thinking is crucial for farmers because they depend on good economic decision making to survive. Governments depend on economic information to make good policy decisions on behalf of the community. This course will help you to contribute to better decision making by farmers, or by agencies servicing agriculture, and it will help you to understand why farmers respond to policies and economic opportunities in the ways they do. \\n\\nYou can use this course to improve your skills and knowledge, and to assess whether this is a subject that you'd like to study further. The course includes high-quality video lectures, interviews with experts, demonstrations of how to build economic models in spreadsheets, practice quizzes, and a range of recommended readings and optional readings. Assessment is by a final exam. \\n\\nThe key economic principles that we’ll learn about can help us understand changes that have occurred in agriculture, and support improved decision making about things like agricultural production methods, agricultural input levels, resource conservation, and the balance between agricultural production and its environmental impacts. \\n\\nThere are literally thousands of agricultural economists around the world who work on these issues, so there is a wealth of knowledge to draw on for the course.\\n\\nWatch a brief video about our course here:\\nhttps://www.youtube.com/watch?v=T_IeYGpeqV8","resource; economy; learning; economics; agriculture; cost-benefit-analysis; environmental-protection; analysis; environmental-economics; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,23.1]","NA","English","social-sciences","economics","QsvQ7GGwEeWPRw7SkrQ7NQ"]
["2. Upskill","Economics & Public Policy","Water Supply and Sanitation Policy in Developing Countries Part 1: Understanding Complex Problems","University of Manchester","Beginner",17.9,4.68,"https://www.coursera.org/learn/water","Our course explores what can be done to solve the complex problem that half a billion people worldwide do not have improved water supplies and two billion do not have improved sanitation. We look forward to you joining us. We want to help you develop the skills you need to address this major global challenge of the 21st century. \\n\\nOur course has informative video lectures and guest interviews with leading water policy scholars and practitioners. We will provide you with discussion forum topic prompts, which will invite you to engage with other learners from around the globe. Our MOOC will also ask you to attempt weekly quizzes and a challenging assignment that tackles a real water and sanitation problem in a difficult setting. \\n\\nPlease watch this trailer: https://youtu.be/Q-HmaCZNd0k","wash; water-supply; policy-analysis; sanitation; economy; writing; supply-chain; analysis; cost; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,22.3]","NA","English","social-sciences","governance-and-society","ejIYwgTFEeW1sSIACkEMfg"]
["2. Upskill","Economics & Public Policy","Engineering Life: Synbio, Bioethics & Public Policy","Johns Hopkins University","Advanced",18.7,4.63,"https://www.coursera.org/learn/synbioethics","Synbio is a diverse field with diverse applications, and the different contexts (e.g., gain-of-function research, biofuels) raise different ethical and governance challenges. The objective of this course is to increase learners’ awareness and understanding of ethical and policy/governance issues that arise in the design, conduct and application of synthetic biology. The course will begin with a short history of recombinant DNA technology and how governance of that science developed and evolved, and progress through a series of areas of application of synbio. \\n\\nContent will be presented in many forms, including not only reading and lectures, but also recorded and live interviews and discussions with scientists, ethicists and policy makers. Learners will have the opportunity to think, write and talk about the issues and challenges in their own work and in real-life case examples. A final project will engage students in the development of governance models for synbio.","decision-making; dna; bioethics; biology; critical-thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,23.6]","NA","English","life-sciences","public-health","pjyrh4miEeaMiAqVzgob_Q"]
["2. Upskill","Economics & Public Policy","The Power of Macroeconomics: Economic Principles in the Real World","University of California, Irvine","Advanced",27.5,4.6,"https://www.coursera.org/learn/principles-of-macroeconomics","In this course, you will learn all of the major principles of macroeconomics normally taught in a quarter or semester course to college undergraduates or MBA students.   \\n\\nPerhaps more importantly, you will also learn how to apply these principles to a wide variety of situations in both your personal and professional lives. In this way, the Power of Macroeconomics will help you prosper in an increasingly competitive and globalized environment.\\n\\nThis course is also available in Portuguese. To join the fully translated Portuguese version, visit this page: https://www.coursera.org/learn/macroeconomia-pt/","trading; economy; economics; principle; history; microeconomics; macro-computer-science; analysis; finance; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.6,42.4]","Spanish; Chinese","English","social-sciences","economics","_UsmIV-PEeSnpyIACzWBsQ"]
["2. Upskill","Economics & Public Policy","Introduction to Economic Theories","Erasmus University Rotterdam","Intermediate",27.4,4.5,"https://www.coursera.org/learn/intro-economic-theories","Wondering why economists have not predicted serious financial crises? Shocked by economic assumptions of human behavior as self-centered and focusing only on what can be measured? Asking yourself if there are no sensible economic alternatives to free markets? Then you are at the right place to learn economics! \\n\\nThis is the first online course that teaches economics from a pluralist perspective. Economic pluralism means that a plurality of theoretical and methodological viewpoints is regarded as valuable in itself and is simply the best way in which economics can make progress in understanding the world. This MOOC will illustrate economic pluralism not only in substance but also in form. You will see not only me, a Professor of Economics, but also a pop-up Prof of our business school, who illustrates the actor perspective of firms, government and civil society. And you will meet an online student, based in Greece, who will help you through the tutorial videos in which I will explain key concepts, tools and techniques. \\n\\nI will not limit myself to the dominant theory, as almost every other course does. Instead, I will introduce you to four very different economic theories for the whole set of standard topics in microeconomics and macroeconomics. The theories are presented every time from broad and more interdisciplinary to narrow and more mathematical. The four theories that I like to introduce you to are Social Economics, Institutional Economics, Post Keynesian economics and, at the very end of each topic, Neoclassical Economics, for the special case of ideally functioning markets. But not everything is different in this course. Like every economics course, it includes numbers, diagrams, tables, equations, and some calculations. \\n\\nWhy would you go through the effort of learning the basics of four theories instead of one? Because it will help you to see why many economists cannot predict crises, whereas others can see signals but are often not being listened to because they do not belong to the dominant school of thought. It will also enable you to see that it is just one theory claiming economic agents to be self-centered and focusing on the measurable only. Other economic theories go well beyond these limitations. And, finally, the pluralist approach will provide you with policy alternatives to neoliberalist policies promoting free markets. \\n\\nThe objective of this course is twofold. First, to enable you to understand different economic viewpoints, linked to important traditions in economic thought, and basic economic concepts belonging to these theoretical perspectives. Second, to enable you to do some basic economic calculations that are important in economic life, such as calculating an inflation rate, and in economic policies, such as estimating the rough gains from trade for both trading partners, and in economic arguments, such as in calculating utility maximization with given prices and budgets.\\n\\nI hope you will enjoy the course!","behavioral-economics; economy; economics; market-economics; microeconomics; graphs; alternative-investment; need; finance; trading","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16,36.5]","NA","English","social-sciences","economics","rgBZRpwaEeafIQpJGWIzpg"]
["2. Upskill","Economics & Public Policy","The Economics of Agro-Food Value Chains","Technische Universität München (TUM)","Beginner",155.8,4.41,"https://www.coursera.org/learn/valuechains","Have a look at our trailer for a brief introduction to this course: https://youtu.be/GADAgxTHjgE \\n\\nIn this course, you learn how the agro-food value chain approaches the challenge of constantly improving its competitiveness by producing high quality food and products and also aiming to attain greater sustainability. Some of the topics of this course are:\\n•\\tThe notion of quality for food and agricultural products and consumer value. \\n•\\tHow to conduct market research in this field.\\n•\\tLabelling, branding and pricing strategies, as-well as innovation in the agro-food sector.\\n•\\tHow sustainability can be used as a competitive advantage through corporate social responsibility.\\n•\\tThe role and different types of industrial standards.  \\n•\\tThe different forms of coordination in the chain, in particular with regard to the retailing and distribution sector. \\n \\nThis course is taught by a group of international experts from Universities in Italy, Germany, Ireland, Scotland and the Netherlands. Each of them will give you insights into a specific topic related to food quality and the organization of the agro-food value chains.","economics; innovation; value-chain; market-economics; chaining; supply-chain-management; microeconomics; supply-chain; management; market-research","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[34.4,289]","NA","English","social-sciences","economics","JuFu4AjPEeeU8RLd2iRGZg"]
["2. Upskill","Economics & Public Policy","EU policy and implementation: making Europe work!","Universiteit Leiden","Intermediate",46.1,4.5,"https://www.coursera.org/learn/eu-making-europe-work","People have become more critical of EU policy and often seem to prefer local policy solutions in response to globalisation problems. How do you experience EU policy? Does it help? And if not, how can we change this? In this course, we learn how the European Union prepares and decides on policy, and how policy is transferred to member states and implemented by various authorities, including regional and local governments.  We discuss the challenges of the European multi-level governance structure. We also focus on the main causes of policy failure or success.  On this journey, we focus on actual policy and present the views of various experts: how easy is it to establish yourself in another EU-country? How do governments make sure that the air you breathe is clean? And who is responsible?\\n\\nYou will be able to do research together in your own local setting. Research on implementation in which you can make comparisons between different countries or areas. If you live outside the EU, this is not a problem. We have developed assignments in such a way that you can do research in your area and compare your findings with others. \\n\\nThis MOOC has been rated as one of the best MOOCs of 2017 and is currently in the Top 50 MOOCs of All Time of Class Central\\n\\nSo, are you curious? Please join: 'EU policy and implementation: making Europe work'. Watch our trailer video at https://www.youtube.com/watch?v=n3nSN9R3VR4","integration-testing; policy-analysis; process; law; environmental-law; science-policy; thought; impact-assessment; decision-making; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,66.5]","NA","English","social-sciences","governance-and-society","_OZnMzM1EeaFHgo3JFU79w"]
["2. Upskill","Economics & Public Policy","Global Energy and Climate Policy","University of London","Intermediate",12.9,4.61,"https://www.coursera.org/learn/globalenergyandclimatepolicy","The Global Energy and Climate Policy course offers an introduction to the theoretical and practical understanding of how energy and climate change policies are designed, shaped, advocated and implemented. As energy markets go truly global, domestic energy policies are becoming more and more entangled with wider issues of international governance. Concurrently, the urgent need to mitigate and adapt to climate change and transition to a low-carbon future is adding a further layer of complexity. \\n\\nThe course is aimed broadly at people interested in learning more about interconnected issues in energy and climate policy globally. It assumes a level of interest but no necessary previous knowledge. However, the course also offers sufficient up to date research and new critical perspectives to be of interest to people with expertise in or academic familiarity with the topic as well. \\n\\nThe main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss energy and climate policy, and lay the groundwork for greater engagement in the future – either through academic study, in the public, private or not-for-profit sectors.","security; energy-policy; climate-change; global; renewable-energy; policy-analysis; economy; climate-policy; energy; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.7,15.8]","Arabic","English","social-sciences","governance-and-society","tlTh8kzVEeagxwr1Kg22cw"]
["2. Upskill","Economics & Public Policy","Political Governance and Public Policy in Russia","Saint Petersburg State University","Intermediate",21.4,4.67,"https://www.coursera.org/learn/political-governance-russia","The course is designed to study the features of the political structure of modern Russia. It contains both general information on the institutional, procedural and value components of the political system and public policy in Russia, as well as a description of the problems, contradictions and prospects for the political development of the country. The course contains three main modules: (1) the political system and regime in Russia: state institutions, political parties, civil society; (2) the public policy process in Russia: the mechanisms for elaborating, adopting and implementing policies and decisions; (3) directions and problems of economic and social policy in Russia: development based on stabilization. The course is aimed at those listeners who want to gain systematic knowledge of politics in Russia, as well as those who are focused on studying Russia's political development in complex and uncertain contexts. Studying the course students can choose the level of the course (general or in-depth), focusing on video material, information, discussions, forums, evaluations and interactive communication with teachers. The advanced level of the course development assumes the active participation of students in discussions, forums and project assignments. The overall mission of the course is to develop students' objective political knowledge about Russia and their ability to make critical scientific analysis and assessment.","policy-development; russian; public-policy-development; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.9,30.8]","NA","English","social-sciences","governance-and-society","_TFGdnjoEeeY4QpmMQsEfA"]
["2. Upskill","Economics & Public Policy","Public Policy Challenges of the 21st Century","University of Virginia","Beginner",16.7,4.58,"https://www.coursera.org/learn/public-policy","This course introduces class participants to the political significance and societal consequences of challenges facing U.S. and international policymakers. It is designed to help participants develop skills to analyze policy proposals and advocate for their preferred options for issues on the public policy agenda ahead. The class assumes basic knowledge about governing institutions and democratic processes, while recommending supplemental materials for further study to complement reading links provided. The course focuses on future policy challenges, while examining the broad historical context in which policies are adopted and implemented.\\n\\nAs the course evaluates how issues are advanced by private sector interests, non-governmental organizations, and government policymakers, it examines how groups become effective policy advocates. Particular attention is paid to how winning coalitions are formed and how issue framing shapes the outcome of policy campaigns. The goal is neither to produce partisan talking points, nor to favor one governance philosophy over others. Rather it is to clarify the public policy challenges ahead and to enhance participants’ understanding of how policy options are adopted in the real world arena of contemporary politics.","public-administration; global; listening; political-science; policy-analysis; critical-thinking; analysis; international-relations; leadership; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.7,20]","Arabic","English","social-sciences","governance-and-society","NiK99anHEeS88iIAC1WehA"]
["2. Upskill","Economics & Public Policy","The City and You: Find Your Best Place","University of Toronto","Beginner",17.7,4.66,"https://www.coursera.org/learn/city-and-you-find-best-place","Welcome to The City and You: Find Your Best Place. I'm excited to have you in the class and look forward to your contributions to the other learners in our community.\\n\\nThis free course will provide the knowledge and  the tools needed to understand what cities do, why they matter, the forces shaping the greatest wave of urbanization in history, and how to pick the right place for you. The course will also help you develop critical thinking skills. We'll accomplish this by providing evidence of the importance of cities, and why and how they matter to you. Then we’ll ask you to apply what you’ve learned in an exercise which will help you assess your own community and find your best place.\\n\\n This course is accessible and open to anyone who is interested in learning more about cities and the ways they affect our lives. It is organized around five key modules: (1) Why Cities Matter,  (2) A World of Cities,  (3) The Creative City, (4) The Divided City and the New Urban Crisis, and (5) How to Find the Best Place for You.\\n\\n After completing the course, you will be able to:\\n\\n\\n(1) Identify why cities are the drivers of economic prosperity;\\n(2) Explain the drivers and implications of fast-growing urbanization worldwide;\\n(3) Outline the key characteristics of a creative and innovative city;\\n(4) Describe the social divides and challenges facing cities and the solutions cities are using to address them; and\\n(5) Recognize the trade-offs of staying in your current city versus moving, and identify the best place for you and your family to live.\\n\\nGood luck as you get started, and I hope you enjoy the course!","critical-thinking; time-management; city-planning; urban-planning; data-clustering-algorithms; planning; learning; analysis; device-file; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,25.2]","NA","English","social-sciences","governance-and-society","GHhkynNMEeWKsgrp3VnvAw"]
["2. Upskill","Economics & Public Policy","Digital transformation of megapolises: from zero to #1 in UN digital e-government ranking","National Research University Higher School of Economics","Beginner",21.9,"NA","https://www.coursera.org/learn/digital-transformation-of-megapolises","This course will help you to navigate ambiguity in definitions of \"Smart City\". You can review successful cases and practices of different approaches to transformation management, determine the potential of your city in the digital transformation, as well as find useful practical advices on search for funding of various digital projects in your city. In addition, lecturers introduce you with formation of Smart City structure and infrastructure from the officials’ point of view.\\n\\nIf you are already an expert in the field of Smart Cities, the course will give you the opportunity to assess your strengths and to improve knowledge in this field. You will gain additional skills in managing digital transformation programs with real examples, as well as you will be acquainted with communication methods and marketing of government projects.","NA","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.5,26.1]","NA","English","business","leadership-and-management","gIpP2Tz6Eeq4qg6JXlpbxw"]
["2. Upskill","Economics & Public Policy","Feminism and Social Justice","University of California, Santa Cruz","Beginner",6.7,4.71,"https://www.coursera.org/learn/feminism-social-justice","Feminism and Social Justice is an adaptation of Distinguished Professor Bettina Aptheker's long-running course at UC Santa Cruz. In the course, Professor Aptheker presents a broad definition of feminism that serves to frame three significant events in the history of feminism and social justice: the Empire Zinc strike of 1951, the 1971-1972 trial of Angela Davis, and the #metoo Movement.","social-justice; communication; justice; discrimination; history; listening; arts-and-humanities; art-history; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4,7.1]","NA","English","arts-and-humanities","history","eFChULUZEeiYLwouRmATLA"]
["2. Upskill","Economics & Public Policy","ART of the MOOC: Activism and Social Movements","Duke University","NA",16.9,4.64,"https://www.coursera.org/learn/activism-social-movements","This course is for activists, artists, and thinkers who wish to better understand and participate in social change. We will focus on the prolific and exciting overlap between socially engaged art and cultural practices generated by recent social movements around the world. Rather than assess the political efficacy of activities like mourning, listening, organizing, dancing, or partying, the lectures examine such cultural activities next to, and within, contemporary art practice. \\n\\nIncluded in the course are guest presentations by key artists, activists, and scholars, like: Rebecca Gomperts, Chido Govera, Gulf Labor, Hans Haacke, Sharon Hayes, Jolene Rickard, Gregory Sholette, Joshua Wong, and many more. Designed by artist and Duke professor, Pedro Lasch and co-taught by Creative Time artistic director, Nato Thompson, the course challenges learners to treat the MOOC itself as a social and artistic form. This happens mostly through the practical components, local project productions, global exchanges, and critical feedback.\\n\\nWhile no prior art making or activist experience is required, projects also offer challenging options for advanced learners.\\n\\nFor other course offerings or language versions in this series, just search 'ART of the MOOC' inside the Coursera course catalogue.","integration-testing; creativity; thought; infrastructure-for-spatial-information-in-the-european-community; performance; history; art; art-history; learning; critical-thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,22.6]","Spanish","English","arts-and-humanities","music-and-art","hAmXWT_PEea7ZAqJqREw5Q"]
["2. Upskill","Education","Blended Learning: Personalizing Education for Students","New Teacher Center","NA",14.5,4.67,"https://www.coursera.org/learn/blending-learning-personalization","Plenty of buzz exists about blended learning and its transformational potential. But what does blended learning really mean? In this course we will explore the different models of blended learning and dive into key issues that impact students, teachers, and schools. Specifically, we will look at these issues through the lens of three high-performing schools that each use a different type of blended learning.  A few of the key topics will include:\\n\\n- The role of the student and how to support students in the transition from traditional to blended learning\\n- Implications for teachers in their day-to-day work and overall role\\n- Impact on the way schools are designed including staffing models, use of time, hardware/software selection, and the use of data\\n- Implementation challenges, potential solutions, and the remaining open questions\\n\\nWe will live by the attributes of blended learning in this course, encouraging students to take quizzes at the beginning of the module to assess their understanding and skip material they already know. Overall, we will take a hand-on approach and the course will culminate in participants prototyping their own blended learning model.\\n\\nIf you are interested in learning more about how to best leverage technology in education and rethink the way we run schools, join this MOOC and encourage your colleagues to do the same.  Become a part of this growing movement and learn first-hand how blended learning can help provide students a more personalized learning experience.","blender-software; learning; gratitude; education; educational-psychology; new-teacher-center","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.2,16.6]","Russian","English","social-sciences","education","2MOLaOEBEee19Qqn9xungg"]
["2. Upskill","Education","K-12 Blended & Online Learning","University System of Georgia","NA",15.4,4.74,"https://www.coursera.org/learn/k-12-online-education","This course introduces teachers and interested adults to K12 blended and online learning. Participants will design a blended or online unit and develop one module to use with K12 students.","organizing-management; web; learning; blender-software; flipping; online-learning; evaluation; utility; online-machine-learning; communication","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,18.3]","Indonesian","English","social-sciences","education","uTGYeGFuEeWyIxK0alsHkw"]
["2. Upskill","Education","Disability Inclusion in Education: Building Systems of Support","University of Cape Town","Intermediate",17.7,4.78,"https://www.coursera.org/learn/disability-inclusion-education","Worldwide millions of children are not able to fully participate in schooling, and this is especially a problem for children with disabilities. In this course, we explore the support that teachers need in order to meet the needs of children with severe to profound hearing, visual and intellectual disabilities.  We consider how this can be done by talking with a range of experts (from teachers to activists) about inclusive education as well as sharing experiences of education. \\n\\nInclusive education is only possible if teachers are supported and empowered to make the curriculum accessible to all learners. The topics in this course cover developing disability confidence and what exactly children with specific impairments need to be able to learn. This includes sharing specific classroom strategies and teaching activities for learners who are D/deaf or hard of hearing, blind or have low vision or have a severe to profound intellectual disability. By the end of the course, you will be familiar with the impairment specific needs of learners with disabilities, and how to build systems of support for inclusive education.\\n\\nYou will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee.\\n\\nThis course was developed as part of the project ´Strengthening teaching for Children with profound Hearing, Visual and Intellectual Disabilities in South Africa` co-funded by Christoffel-Blinden Mission (CBM) and the European Union.","special-education; materials; learning; hearing; education; critical-thinking; communication; problem-solving; modeling; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,21.7]","NA","English","social-sciences","education","B21ymeDREeiZjBI0AJcrAg"]
["2. Upskill","Education","What future for education?","University of London","Advanced",17.9,4.63,"https://www.coursera.org/learn/future-education","Through this course you will start to critically examine your own ideas about education, teaching and learning. The critique will be developed through engagement with theories and ideas developed through educational research. You will be encouraged to use these ideas to challenge or support your own ideas about education.   \\n\\nEach week we will focus on one key question, using video lectures, key readings and challenges to explore some commonplace notions about education. With the guidance of the course team, you will be asked to use these ideas to critically reflect on your own understandings and experience. By the end of the course, you will have developed a personal response to the main question: what is your preferred future for education?","teaching; critical-thinking; english-language; writing; online-learning; presentation; education; online-machine-learning; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,22.1]","Spanish","English","social-sciences","education","mYVoGA4fEeWkZg42h4yEYQ"]
["2. Upskill","Education","Critical Issues in Urban Education","The University of Chicago","NA",20.9,4.75,"https://www.coursera.org/learn/urban-education","Urban school reform in the United States is characterized by contentious, politicized debate. This course explores a set of critical issues in the education and educational reform space, with a focus on aspects of the field that have sparked controversy and polarized views. We will dig into these debates, situating them within the larger history of public education and school reform, and considering the viewpoints, the evidence, and translation of issues into educational policy. \\n \\nWe will consider three broad topics in this course:\\n1.  Federal Strategies in School Reform: How has the federal government legislated and incented public school reform? \\n2.  School Choice: How does school choice aim to improve schools? \\n3.  Accountability: What is the history of accountability in American public schooling? What are the policies and practices associated with accountability? \\n\\nLearning Goals\\nThis course will enable participants to:\\n1. develop an informed historical perspective about public schooling in the United States;\\n2. understand the unique contextual elements of the American approach to public schooling;\\n3. analyze and assess divergent viewpoints about American public school history and school reform policy.\\n\\nTeachers may be able to receive continuing education credit for successful completion of this course. To earn continuing education credits students must purchase and earn the Course Certificate, which they can then submit to the credit-issuing agency in their state.  Students should also fill out the requisite paperwork stating that the affiliated provider is the Graham School at the University of Chicago, and that average time for certificate-level course completion is 18 hours. Students outside of Illinois should contact their state’s accreditation board to determine whether this course is eligible for continuing education credit. Note that it is up to the schools or districts that employ teachers to decide whether this course meet their requirements.","thought; choice; education; integration-testing; failure; school-choice; learning","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.5,24.3]","NA","English","social-sciences","education","m-r13mbsEeWq4RLQvtY_lQ"]
["2. Upskill","Energy","Water Supply and Sanitation Policy in Developing Countries Part 2: Developing Effective Interventions","University of Manchester","Intermediate",21.9,4.41,"https://www.coursera.org/learn/water-part-2","Water Supply and Sanitation Policy in Developing Countries Part 2 is our second MOOC in a two-part sequence, and looks at ‘Developing Effective Interventions’. Here we invite you to develop analytical skills and deep understanding about a complex, controversial policy problem – one with no simple, easy answers. About half a billion people on our planet still lack access to improved water supplies and about two billion do not have improved sanitation services, leading to an unknown but very large number of avoidable deaths each year from water-related diseases. Millions of dollars are spent on avoidable health care expenditures, and people – mostly women – spend many billions of hours carrying water from sources outside the home. Reducing these costs is a major global challenge for us all in the 21st century. Join us to explore the challenging and complex political, economic, social, and technical dimensions of the policy interventions that donors, national governments and water utilities use to address this challenge. This second MOOC consists of the following seven sessions:\\n\\n•\\tSession 1: Introduction and how our ‘ancient instincts’ affect water policy interventions.\\n•\\tSession 2: Planning better policy interventions: Roles, features and examples of planning protocols.\\n•\\tSession 3: Water pricing, tariff design and subsidies.\\n•\\tSession 4: Providing information to households and communities to improve water and sanitation conditions.\\n•\\tSession 5: Changing the institutions that deliver water and sanitation services: Privatization in developing countries.\\n•\\tSession 6: Changing institutions: Lessons from the UK water privatization story.\\n•\\tSession 7: Changing institutions: Improving regulation of the water and sanitation sector.\\n\\nYour instructors for this course have worked in and studied this sector for many years. Professor Dale Whittington has worked on water and sanitation policy and planning issues for over 40 years in more than two dozen low and middle-income countries. Dr Duncan Thomas has worked in the UK and European water sectors for 15 years, focusing on overcoming barriers to technological, organizational, regulatory and policy innovations. \\n\\nPlease watch this introductory video outlining the course: https://youtu.be/KkBmo3EKkkI","environmental-health; plan; hygiene; sanitation; wash; analysis; environmental-impact-assessment; gratitude; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.9,28.9]","NA","English","social-sciences","governance-and-society","eGjoytoJEeWyqBL0ju_dbQ"]
["2. Upskill","Energy","Water Resources Management and Policy","University of Geneva","Beginner",13.1,4.52,"https://www.coursera.org/learn/water-management","Water management today is faced with new challenges such as climate change or the effects of human activity. Public and private stakeholders who are active in this field must develop new ways to better manage the water cycle \"as a whole\".\\n\\nThe objective of this MOOC is to develop an understanding of the problems related to water management. Firstly, this course will define a resource and, more specifically, the resource of water. It will look at how water is used and the activities associated with it as well as any potential conflicts. The course will look at water management in detail through the analysis of the different types of rights and obligations associated with, for example, the development of a multi-sectorial regulation system or a watershed management approach.\\n\\nBy the end of this course, our aim is to enable you to:\\n1) Identify the main issues and strategies linked to water resource management\\n2) Acquire the key reading material needed to understand the many variables (environmental, institutional and political) which affect water and which, in terms of management, may require adjustment.\\n\\nThis course was developed by the Geneva Water Hub. Alongside researchers from the University of Geneva from a range of faculties, researchers from other universities and research centres will be involved in this course. Practitioners who deal daily with the political dimension of water management will also input into the course.\\n\\nThis MOOC is designed for all those interested in the water sector. Prior training is not necessary to follow our program. The findings presented in this course can be easily reapplied to different contexts and to different scales of analysis.\\n\\nThis MOOC is supported by the Geneva Water Hub and the University of Geneva along with the MOOC in « Ecosystem Services: a Method for Sustainable Development » (www.coursera.org/learn/ecosystem-services) and the one in \"International Water Law\" (www.coursera.org/learn/droit-eau). This course is funded by the Global Programme Water Initiatives of the Swiss Agency for Development and Cooperation (SDC).\\n\\nThis course is also available in French : www.coursera.org/learn/gestion-eau","resource; policy-analysis; international-law; resource-management; law; environmental-protection; international-relations; water-resource-management; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.8,17.3]","NA","English","social-sciences","governance-and-society","_xNLlFY4EeWKXg4Y7_tPaw"]
["2. Upskill","Energy","Global Energy and Climate Policy","University of London","Intermediate",12.9,4.61,"https://www.coursera.org/learn/globalenergyandclimatepolicy","The Global Energy and Climate Policy course offers an introduction to the theoretical and practical understanding of how energy and climate change policies are designed, shaped, advocated and implemented. As energy markets go truly global, domestic energy policies are becoming more and more entangled with wider issues of international governance. Concurrently, the urgent need to mitigate and adapt to climate change and transition to a low-carbon future is adding a further layer of complexity. \\n\\nThe course is aimed broadly at people interested in learning more about interconnected issues in energy and climate policy globally. It assumes a level of interest but no necessary previous knowledge. However, the course also offers sufficient up to date research and new critical perspectives to be of interest to people with expertise in or academic familiarity with the topic as well. \\n\\nThe main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss energy and climate policy, and lay the groundwork for greater engagement in the future – either through academic study, in the public, private or not-for-profit sectors.","security; energy-policy; climate-change; global; renewable-energy; policy-analysis; economy; climate-policy; energy; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.7,15.8]","Arabic","English","social-sciences","governance-and-society","tlTh8kzVEeagxwr1Kg22cw"]
["2. Upskill","Public Health","Summary Statistics in Public Health","Johns Hopkins University","Beginner",14.0,4.74,"https://www.coursera.org/learn/summary-statistics","Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.","risk; kaplan-meier-estimator; survival-analysis; biostatistics; analysis; binary-data; estimator; data-segment; statistics; relative-risk","Biostatistics in Public Health",1.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[8.1,18.4]","NA","English","life-sciences","public-health","Y26ZS0Q4EeiUTQp9cpO08g"]
["2. Upskill","Public Health","Foundations of Public Health Practice: The Public Health Approach","Imperial College London","Beginner",16.1,4.33,"https://www.coursera.org/learn/foundations-public-health-approach","The Public Health Approach course is the first instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over four modules (intended for four weeks of learning), learners will become familiar with the scope, origins, ethics, principles and paradigms of public health practice. But there is also important foundational content for those coming from more experienced practitioner backgrounds. The 'Public Health Approach' is a phrase that is used widely to describe an up-stream, preventive, values-driven and evidence-based approach to improving population health. By the end of this course, learners will be confident with identifying and describing a wide range of public health challenges using the language and reference points of the public health profession.\\n\\nThe subsequent courses require the knowledge from this course, as learners will be introduced to the public health toolkit of health needs assessment and evaluation, before taking deeper dives into behaviour change and health protection.","psychology; medicine; cancer; health-psychology; medical-statistics; life-sciences; epidemics; public-health; medical-psychology","Foundations of Public Health Practice",1.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.","[8.3,18.2]","NA","English","life-sciences","public-health","7DWhFqCcEeiHSwpu2LKX4A"]
["2. Upskill","Public Health","Essential Epidemiologic Tools for Public Health Practice","Johns Hopkins University","Intermediate",6.8,4.65,"https://www.coursera.org/learn/epidemiology-tools","In order to make a difference in the health and well-being of a population, we must understand the burden of all problems and conditions that affect the population, as well as how well our efforts to mitigate these problems are actually working. This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. The tools that epidemiologists use are in fact useful for all public health practitioners, including data scientists, program officials, agency leaders, and policymakers. Whether you are deeply enmeshed in your career and looking to augment your skills, or are looking to change career paths into the field of public health, this course will give you some of the practical knowledge and skills that we hope you can apply in your professional endeavors.","epidemiology; epidemic; public-health; life-sciences; epidemics; learning; psychology","Epidemiology in Public Health Practice",1.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.3,9]","NA","English","life-sciences","public-health","HMEBfu2ZEeiJkwpQ0Sp0Yg"]
["2. Upskill","Public Health","Measuring Disease in Epidemiology","Imperial College London","Advanced",14.2,4.61,"https://www.coursera.org/learn/measuring-disease-epidemiology","Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate.","odds; public-health; disease; epidemiology; prevalence; sensitivity-analysis; analysis; odds-ratio; risk; measurement","Epidemiology for Public Health",1.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[8.1,18]","NA","English","life-sciences","public-health","hSFRplRqEeiPZBL0QYL46A"]
["2. Upskill","Public Health","Introduction to Statistics & Data Analysis in Public Health","Imperial College London","Advanced",12.2,4.69,"https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health","Welcome to Introduction to Statistics & Data Analysis in Public Health!\\n\\nThis course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.\\n\\nPrerequisites\\n\\nSome formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.","statistical-analysis; hypothesis-testing; statistical-hypothesis-testing; analysis; rstudio; hypothesis; software-testing; statistics; computer-programming; r-programming-language","Statistical Analysis with R for Public Health",1.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.5,16.1]","NA","English","life-sciences","public-health","wYVFrFUOEeiXDgqeSsw0yA"]
["2. Upskill","Public Health","Hypothesis Testing in Public Health","Johns Hopkins University","Advanced",20.9,4.77,"https://www.coursera.org/learn/hypothesis-testing-public-health","Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.","chi-squared-distribution; biostatistics; statistics; hypothesis-testing; confidence-interval; statistical-hypothesis-testing; p-value; software-testing; hypothesis; studentized-residual","Biostatistics in Public Health",2.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[11.5,31.1]","NA","English","life-sciences","public-health","udpRKkQ4EeitXApS0Q-8QA"]
["2. Upskill","Public Health","Public Health in Humanitarian Crises 1","Johns Hopkins University","Intermediate",24.4,4.85,"https://www.coursera.org/learn/humanitarian-public-health","This course, Public Health in Humanitarian Crises 1, introduces discussions about the public health approach to problems experienced by people affected by disasters, both natural and related to conflict. The course discusses the many changes which occur in people’s lives when they are uprooted by a disaster, ranging from changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, etceteras. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. The course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught by instructors and guest lecturers who together have over 200 years of experience in this field. \\n\\nThe course consists of 10 modules totaling approximately 9-10 hours of delivered content with an additional 2-3 hours of self-work (quizzes and writing and evaluating a short peer-review assignment) as well as lively discussions forums. The course has been designed in a way that each module builds on the lessons of previous modules. However, you may do the modules in any order and some can be done separately. \\n\\nYou do not have to pay for this course if you choose to enroll without a certificate. Sometimes referred to as auditing, enrolling without a certificate means that you will have access to all of the videos, quizzes, assignments, and discussions. The only difference is that you will not receive a certificate upon completion. Click the Enroll Without a Certificate link to sign up and begin the course. Even if you enroll in a session that has yet to begin, you may access most of the course materials right away by clicking the Preview Course Materials link. However, you will have to wait for the session to begin before posting your comments on the discussion forum or accessing the final peer-reviewed assessment. Visit the Learner Help Center for details about session schedules.\\n\\nIf you want to learn more, there is a second course which follows this one entitled, Public Health in Humanitarian Crises 2. We welcome you to take this. The course has a similar set-up and discusses additional topics, such as infectious disease outbreaks, disease epidemiology, maternal and newborn health, mental health, humanitarian project design, humanitarian principles, and many other topics.","emergency; crisis; law; nutrition; emergency-management; case-management; international-law; public-health; humanitarian; management","Foundations of Global Health",2.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.","[11,43.2]","NA","English","social-sciences","governance-and-society","YIzBp-TLEeahIg74m77j2A"]
["2. Upskill","Public Health","Data and Health Indicators in Public Health Practice","Johns Hopkins University","Intermediate",9.5,4.67,"https://www.coursera.org/learn/data-public-health","Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies.\\n\\nIn this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving methodology and demonstrate how it can be used in a wide variety of settings to identify problems, propose solutions, and evaluate interventions. This methodology depends on the use of reliable data, so we'll take a deep dive into the routine and public health data systems that lie at the heart of epidemiology and then conclude with how you can use that data to calculate measures of disease burden in populations.","health-indicator; disease-burden; methodology; epidemiology; measurement; problem-solving-methods; disease; problem-solving; public-health; analysis","Epidemiology in Public Health Practice",2.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[5.2,12.4]","NA","English","life-sciences","public-health","qzwLIm32EeabgxL_CsKzaQ"]
["2. Upskill","Public Health","Study Designs in Epidemiology","Imperial College London","Advanced",6.3,4.82,"https://www.coursera.org/learn/study-designs-epidemiology","Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research. \\nIn this course, you will learn about the main epidemiological study designs, including cross-sectional and ecological studies, case-control and cohort studies, as well as the more complex nested case-control and case-cohort designs. The final module is dedicated to randomised controlled trials, which is often considered the optimal study design, especially in clinical research. You will also develop the skills to identify strengths and limitations of the various study designs. By the end of this course, you will be able to choose the most suitable study design considering the research question, the available time, and resources.","cohort-studies; randomization; randomized-controlled-trial; null-character; epidemiology; ecological-study; clinical-study-design; research-design; case-control-study; integration-testing","Epidemiology for Public Health",2.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[3.5,7.7]","NA","English","life-sciences","public-health","ApVo5lRrEeiGKxInOEegGg"]
["2. Upskill","Public Health","Linear Regression in R for Public Health","Imperial College London","Advanced",13.2,4.77,"https://www.coursera.org/learn/linear-regression-r-public-health","Welcome to Linear Regression in R for Public Health!\\n\\nPublic Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and  linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. \\n\\nLinear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. \\nThis course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. \\nYou will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide.","model-building; statistical-analysis; linearity; modeling; analysis; statistics; regression-analysis; r-programming-language; computer-programming; linear-regression","Statistical Analysis with R for Public Health",2.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[7.1,16.4]","NA","English","life-sciences","public-health","_o2ptFUOEeiN5g6qr8gNVg"]
["2. Upskill","Public Health","Simple Regression Analysis in Public Health","Johns Hopkins University","Advanced",17.6,4.67,"https://www.coursera.org/learn/simple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.","confounding; medical-statistics; hazard; hazards; simple-linear-regression; public-health; regression-analysis; analysis; linearity; linear-regression","Biostatistics in Public Health",3.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[10.3,26.5]","NA","English","life-sciences","public-health","yaJi8EQ4EeiajA5pPRmC1g"]
["2. Upskill","Public Health","Foundations of Public Health Practice: Behaviour & Behaviour Change","Imperial College London","Beginner",14.2,5.0,"https://www.coursera.org/learn/behaviour-change-in-public-health","The Health Protection course is the third instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge. Through short video lectures, practitioner interviews and a wide range of interactive activities, learners will be immersed in the world of public health practice.\\n\\nDesigned for those new to the discipline, over three modules (intended for three weeks of learning), learners will become familiar with the scope, theory and implementation of behaviour change in the context of public health practice. The course begins by challenging learners about their preconceptions about healthy and unhealthy behaviour - seeking to contextualise these ideas within the broader public health approach (the first course of this specialisation). The course thereafter swiftly covers the origins of risk communication and behaviour change through the lens of health psychology and classical economics, before introducing ideas of bounded rationality and the genesis of behavioural insights and so-called Nudges. By the end of the course, learners will be fluent with their use of the Behaviour Change Wheel methodology of intervention development and the application of the COM-B framework to a range of target behaviours and behavioural barriers.\\n\\nThe subsequent courses of this specialisation will cover health protection before moving into the final (degree learner) course which where learners will focus on developing the core professional skillset that defines public health practitioners - whether in service or academia.","principle; health-psychology; college; epidemic; methodology; public-health; behavioral-economics; behavior; psychology; motivation","Foundations of Public Health Practice",3.0,"https://www.coursera.org/specializations/foundations-public-health-practice","This specialisation will enable you to reflect on and cultivate the behaviours you require to become an effective public health professional –whether as an academic, practitioner, clinician, manager or leader.The specialisation is shaped into four courses covering the origins of public health, health improvement, behaviour change, and health protection. The specialisation will draw upon learning from the Statistics for Public Health and Epidemiology for Public Health specialisations, and builds the foundations of public health knowledge.\\n\\nBy the end of this specialisation, you will be able to:\\n\\n1.Use the principles which underpin public health as a discipline in order to articulate public health objectives;\\n\\n2.Critically analyse public health challenges using data and health intelligence in order to characterise need and prioritise actions for key stakeholders\\n\\n3.Devise effective interventions using behaviour change theory and other public health approaches in order to improve population health outcomes;\\n\\n4.Assess both operational and strategic health protection threats in order to recommend appropriate management actions to relevant parties;\\n\\n5.Reflect upon one's own professional skills, attitudes, and behaviours in order to improve leadership capability and personal effectiveness in public healthpractice;\\n\\n6.Apply appropriate health protection, health improvement and disease prevention interventions in order to improve public health programmes.","[8.1,18.2]","NA","English","life-sciences","public-health","1cNkxqEuEeieCw6u0CYq5g"]
["2. Upskill","Public Health","Surveillance Systems: The Building Blocks","Johns Hopkins University","Beginner",8.3,5.0,"https://www.coursera.org/learn/epidemiology-surveillance-systems","Epidemiology is often described as the cornerstone science and public health and public health surveillance is a cornerstone of epidemiology. This course will help you build your technical awareness and skills for working with a variety of surveillance systems. Along the way, we'll focus on system objectives, data reporting, the core surveillance attributes, and performance assessment. This course is designed for public health practitioners and anyone who wants to learn more about the basics of public health surveillance. If you develop or implement surveillance systems or aspire to do so or use the data resulting from surveillance, then this course is for you. It's s also for people who are interested in understanding more about this fundamental epidemiologic tool and public health practice.","epidemiology; continuous-function; public-health","Epidemiology in Public Health Practice",3.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[4.6,10.2]","NA","English","life-sciences","public-health","MxisxCo8EemI7w6DyJsmOg"]
["2. Upskill","Public Health","Validity and Bias in Epidemiology","Imperial College London","Advanced",8.8,4.8,"https://www.coursera.org/learn/validity-bias-epidemiology","Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.","bias; clinical-research; analysis; confounding; interaction-statistics; public-health; biostatistics; epidemiology; case-control-study; null-character","Epidemiology for Public Health",3.0,"https://www.coursera.org/specializations/public-health-epidemiology","Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies.\\n\\nThe first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention.\\n\\nThe second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations.\\n\\nThe third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality.\\n\\nAt the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH.","[5.4,10.3]","NA","English","life-sciences","public-health","Rtiw71RrEeiuag4cjofrng"]
["2. Upskill","Public Health","Logistic Regression in R for Public Health","Imperial College London","Advanced",10.4,4.72,"https://www.coursera.org/learn/logistic-regression-r-public-health","Welcome to Logistic Regression in R for Public Health! \\n\\nWhy logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the others in the series, this is a hands-on course, giving you plenty of practice with R on real-life, messy data, with predicting who has diabetes from a set of patient characteristics as the worked example for this course. Additionally, the interpretation of the outputs from the regression model can differ depending on the perspective that you take, and public health doesn’t just take the perspective of an individual patient but must also consider the population angle. That said, much of what is covered in this course is true for logistic regression when applied to any data set, so you will be able to apply the principles of this course to logistic regression more broadly too. \\n\\nBy the end of this course, you will be able to: \\nExplain when it is valid to use logistic regression \\nDefine odds and odds ratios \\nRun simple and multiple logistic regression analysis in R and interpret the output \\nEvaluate the model assumptions for multiple logistic regression in R \\nDescribe and compare some common ways to choose a multiple regression model \\n\\nThis course builds on skills such as hypothesis testing, p values, and how to use R, which are covered in the first two courses of the Statistics for Public Health specialisation. If you are unfamiliar with these skills, we suggest you review Statistical Thinking for Public Health and Linear Regression for Public Health before beginning this course. If you are already familiar with these skills, we are confident that you will enjoy furthering your knowledge and skills in Statistics for Public Health: Logistic Regression for Public Health. \\n\\nWe hope you enjoy the course!","statistics; computer-programming; supply-chain; statistical-analysis; medical-statistics; odds-ratio; logistic-regression; odds; linearity; r-programming-language","Statistical Analysis with R for Public Health",3.0,"https://www.coursera.org/specializations/statistical-analysis-r-public-health","Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health.\\n\\nIn this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around.\\n\\nThis specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019.\\n\\nThe specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.","[6.4,12.3]","NA","English","life-sciences","public-health","HIWhL1UPEeiYKRJKvk-prg"]
["2. Upskill","Public Health","Multiple Regression Analysis in Public Health","Johns Hopkins University","Advanced",14.3,4.58,"https://www.coursera.org/learn/multiple-regression-analysis-public-health","Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies.  Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.","probability; linearity; biostatistics; public-health; housing; regression-analysis; experiment; analysis; listening; supply-chain","Biostatistics in Public Health",4.0,"https://www.coursera.org/specializations/biostatistics-public-health","This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.","[9.6,17.3]","NA","English","life-sciences","health-informatics","2sp52EQ4EeiCyQ6cvCVnGA"]
["2. Upskill","Public Health","Surveillance Systems: Analysis, Dissemination, and Special Systems","Johns Hopkins University","Beginner",7.8,5.0,"https://www.coursera.org/learn/epidemiology-surveillance-systems-analysis","In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect its use. We'll then turn our attention to surveillance of non-communicable chronic diseases and how the data can be used to support prevention efforts. Finally, we'll explore special surveillance systems, such as syndromic surveillance, antimicrobial resistance, and event-related surveillance. This course is designed for public health practitioners with a focus on those working on health surveillance in municipal, regional, state, provincial, or even national public health agencies. We really think that this course will help those with an interest in health surveillance to see which approaches are used in actual practice of public health.","data-analysis; sources; interpretation; analysis; trend-analysis; epidemiology; public-health","Epidemiology in Public Health Practice",4.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[4,10.2]","NA","English","life-sciences","public-health","3vl2Su2ZEeiJnAqB4Om4ig"]
["2. Upskill","Public Health","Community Change in Public Health","Johns Hopkins University","Intermediate",12.8,4.58,"https://www.coursera.org/learn/community-public-health","In bringing about behavior change in public health, we often focus on the individual mother, student, or farmer. We should not forget the community structure and norms constrain for encouraging individual health behaviors. This course examines the community context of the changes needed to promote the public’s health. We begin by examining the various definitions of ‘community’ and the processes by which we ‘diagnose’ or seek to understand the structure and characteristics of different types of communities.\\n\\nAn appreciation of community similarities and differences is necessary lest we fall into the trap of designing one-size-fits-all interventions. We need to recognize that no matter that outsiders may view a community as poor or neglected, we can find strengths and capacities for improvement in each community. Identifying community capacities and resources is the first step in facilitating community change. Different practical and philosophical approaches to change and therefore, examined. Specific to the change process is our recognition of the need for communities to participate in the design, implementation and evaluation of any intervention.\\n\\nWe examine the concept of participation in an effort to see how different levels of involvement may affect sustainability of community change efforts. Finally a case study of a community participatory approach to onchocerciasis control in Africa is presented. Community Directed Intervention has subsequently been successfully applied to providing other essential primary health care services by and in the community, such as insecticide treated bednets, malaria treatment, vitamin A distribution, deworming medicines, and pneumonia and diarrhea case management.","interaction; learning; problem-solving; community-change; analysis; parchive; case-management; integration-testing; public-health; modeling","Foundations of Global Health",5.0,"https://www.coursera.org/specializations/global-health","This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a variety of settings, including low- and middle-income countries and humanitarian crises.","[8.6,15.7]","NA","English","life-sciences","public-health","-GA2-bmnEeWkwBIgnN7tuw"]
["2. Upskill","Public Health","Outbreaks and Epidemics","Johns Hopkins University","Beginner",7.8,5.0,"https://www.coursera.org/learn/outbreaks-epidemics","Professional epidemiologists are often called on to investigate outbreaks and epidemics. This course serves as an introduction to the essentials of investigation, identifying pathogens, figuring out what's going on, reporting, and responding. You'll learn how to ask precise epidemiologic questions and apply epidemiologic tools to uncover the answers. You'll also learn about basic epidemic dynamics and the terrible law that cause them to grow, as well as the reasons why they recede and eventually go away. The course concludes with deep dives into some real outbreaks from Ebola, in West Africa, to the opioid epidemic in the United States.","epidemic; public-health-law; outbreak; epidemics; law; ebola; disease; epidemiology; public-health","Epidemiology in Public Health Practice",5.0,"https://www.coursera.org/specializations/professional-epidemiology","This specialization is intended for people working or aspiring to work in the field of public health at the local, regional, and national level. Over five courses taught by faculty from the preeminent school of public health, you'll learn to use the core epidemiologic toolset to measure the health of populations, assess interventions, collect and analyze data, and investigate outbreaks and epidemics.","[3.8,10.3]","NA","English","life-sciences","public-health","jvbebe2aEei-9xJAr2ZhBg"]
["2. Upskill","Public Health","An Introduction to the U.S. Food System: Perspectives from Public Health","Johns Hopkins University","Beginner",21.6,4.73,"https://www.coursera.org/learn/food-system","A food system encompasses the activities, people and resources involved in getting food from field to plate. Along the way, it intersects with aspects of public health, equity and the environment. In this course, we will provide a brief introduction to the U.S. food system and how food production practices and what we choose to eat impacts the world in which we live. We will discuss some key historical and political factors that have helped shape the current food system and consider alternative approaches from farm to fork. The course will be led by a team of faculty and staff from the Johns Hopkins Center for a Livable Future. Guest lecturers will include experts from a variety of disciplines, including public health, policy and agriculture.","security; billing; farm; public-health; sustainability; agriculture; animal; food-security; food-policy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.3,27.7]","NA","English","life-sciences","public-health","OXqJcQo-EeWKzSIAC7Uk8A"]
["2. Upskill","Public Health","Public Health in Humanitarian Crises 2","Johns Hopkins University","Beginner",17.5,4.88,"https://www.coursera.org/learn/humanitarian-public-health-2","This course, Public Health in Humanitarian Crises 2, addresses public health issues of people affected by disasters, both natural  or conflict-related. It discusses the many changes that occur in people’s lives when they are uprooted by a disaster, including many important topics related to humanitarian crises, such as when there is an epidemic a public health emergency; what do we mean with the humanitarian development nexus; what are the basics of disaster epidemiology and surveillance; humanitarian principles; and other very relevant topics. We will explore what humanitarian interventions could look like if we want to mitigate the effects of disasters. \\n\\nThis course is a follow-up to Public Health in Humanitarian Crises 1, which dealt with changes in disease patterns, access to health care, livelihoods, shelter, sanitary conditions, nutritional status, and other issues. \\n\\nThe course content is a mix of theoretical knowledge and many practical examples from recent disasters. We think this course is unique because it contains so many practical ‘real-life’ examples and is taught be instructors and guest lecturers who together have over 200 years of experience in this field. The course consists of 10 modules totaling approximately 14-16 hours of delivered content with an additional 2-3 hours of self-work (quizzes and writing and evaluating a short peer-review assignment) as well as lively discussions forums. The first course, Public Health in Humanitarian Crises 1 (PHHC1), has been designed in a way that each module builds on the lessons of previous modules. However, the modules from this second course, Public Health in Humanitarian Crises 2 (PHHC2) can be accessed in any order and some can stand alone. You do not necessarily need to do PHHC1 before PHHC2, but it might be helpful to take some or all of PHHC1, as some of the basic or fundamental issues are covered in this course. PHHC2 contains a somewhat more diverse set of topics than the previous course as it deals with more complicated issues.\\n\\nYou do not have to pay for this course if you choose to enroll without a certificate. Sometimes referred to as auditing, enrolling without a certificate means that you will have access to all of the videos and discussions. The only difference is that you will not be able to take the quizzes to earn a certificate upon completion. Click the Audit or Enroll Without A Certificate link to sign up and begin the course. Visit the Learner Help Center for more details about your enrollment options.","humanitarian; crisis-management; life-sciences; maintenance; supply-chain; epidemics; writing; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.8,24.6]","NA","English","life-sciences","public-health","lCrpEDYEEemx5A7WF2rvOA"]
["2. Upskill","Public Health","Introduction to Public Health Engineering in Humanitarian Contexts","École Polytechnique Fédérale de Lausanne","Intermediate",15.0,4.77,"https://www.coursera.org/learn/engineering-humanitarian","The world is facing unprecedented humanitarian needs. Today’s humanitarian crisis tend to be greater in number, often in urban settings, longer in duration and broader in regional impact. They generate human sufferings on a greater scale, disrupt essential services, such as water supply or sanitation and put health of large population at risk. Engineers and technical specialists in water, sanitation, energy, environment, and in other related fields play a vital role to respond to these challenges and growing needs. In the humanitarian sector, they are called the public health engineers and today they are increasingly needed! Why public health engineering matters so much in humanitarian crises? And how its related activities are carrying out in such complex environment? This is what this MOOC is all about!\\n\\nThe EPFL, EAWAG-SANDEC and ICRC have decided to partner to guide you through this introduction to the fascinating field of public health engineering in humanitarian contexts.","public-health; medical-waste; hygiene; supply-chain; water-supply; wastewater-engineering; water-engineering; humanitarian; sanitation; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.4,22.1]","Spanish; French; Arabic","English","physical-science-and-engineering","environmental-science-and-sustainability","2cxEVCqMEeehpAoOJWlweA"]
["2. Upskill","Public Health","Protecting Public Health in a Changing Climate:  A Primer for City, Local, and Regional Action","Johns Hopkins University","Intermediate",20.1,4.7,"https://www.coursera.org/learn/climate-change","This course is an introduction to the multiple ways our changing climate affects global population health, and to promising policy and practice responses.  More intense storms, heatwaves, and rising seas mean many, particularly the most vulnerable, now face growing risks of weather-related injury, illness, mental stress and even death. Because people care deeply about health outcomes, public health has great potential to convey the urgency of reducing greenhouse gas emissions and adapting to a warmer, more unpredictable climate.  The main message of the course is that public health must therefore “lean in” and become a more central player in climate change mitigation and adaptation.  Because climate-related health risks happen mainly at the local level, the course focuses on cities – increasingly key players in climate change policy.  Starting with an overview of the science consensus suggesting we have 10-20 years to prevent risks associated with exceeding 1.5°C of global warming and put in place adaptive policies, the course provides interactive lectures, expert interviews and case studies that build practical knowledge.  In the final assignment, participants apply course tools and strategies to a city of their choice, preparing them to contribute to climate mitigation and building health resiliency in their own local context.","climate-change","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.4,22.7]","NA","English","life-sciences","public-health","kQKm_loAEeiS2Qq9yoYPHA"]
["2. Upskill","Public Health","The People, Power, and Pride of Public Health","Johns Hopkins University","Intermediate",3.7,4.69,"https://www.coursera.org/learn/public-health","The People, Power, and Pride of Public Health provides an engaging overview of the incredible accomplishments and promise of the public health field.  The first module includes interviews with legendary public health figures whose work led to millions of lives saved with vaccines, air bags and car seats, and the federal Women Infants and Children (WIC) nutrition program.  The second module brings key public health tools to life -- including use of data, communications, and policy - through discussions with experienced professionals who have used these tools to save lives.  The third module includes a \"Carpool Karaoke\"-style trip through Baltimore County, Maryland with NACCHO President Dr. Umair Shah to see and hear real public health workers talking about how they serve their communities.  \\nLearners will come away from this course with a deeper understanding of the public health field and a greater enthusiasm for their own work in public health. \\nPreview the course on YouTube: goo.gl/RXKbUr","empathy; knowledge-acquisition; stewardship; mergers-and-acquisitions; preparedness; average; public-health; critical-thinking; communication; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.9,3.9]","NA","English","life-sciences","public-health","zG8xMEYmEeeMtBKozo_2UA"]
["2. Upskill","Public Health","Sustainable Tourism – promoting environmental public health","University of Copenhagen","Beginner",22.3,4.66,"https://www.coursera.org/learn/sustainable-tourism","The MOOC introduces learners to key environmental health and natural resources management challenges associated with the rapid growth in international tourist arrivals into low-income countries. Since infrastructural and regulatory capacities in such countries are often limited they are more exposed to the negative implications of such development. The MOOC will present experiences and potential avenues to develop a more sustainable form of tourism.\\n\\nThe Course particularly focuses on the problems and potentials of tourism development in small island states in tropical and sub-tropical settings and highlights the challenges of such development on vulnerable ecosystems. It also highlights how tourism development in Zanzibar results in increased pressure on its marine environment, solid waste management, water resources and control of mosquitoes.  These factors will be used as tracers of impacts and areas for future improvement towards a more sustainable form of tourism.\\n\\nThe Course topics also relate to a number of targets under the global Sustainable Development Goals connected especially to Goals 3: “good health and well-being”, 6: “clean water and sanitation”, 14: “life below water” and 17: “partnerships”.  Thus, the Course is a continuation of the efforts and discussions raised as part of the 2017 international year of sustainable tourism. \\n\\nA diversity of perspectives and areas of expertise will be presented by researchers from the University of Copenhagen, State University of Zanzibar, representatives from the hotel sector and international experts in specific areas of sustainable tourism.","utility; public-health; sustainable-tourism; learning; ecotourism; sustainability; wasting; awareness; integration-testing; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.9,32.9]","Danish","English","life-sciences","basic-science","6tpNmPH7Eeea0w7yiCQp4g"]
["2. Upskill","Public Health","Major Depression in the Population: A Public Health Approach","Johns Hopkins University","Intermediate",16.6,4.65,"https://www.coursera.org/learn/public-health-depression","Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the entire world! Every human being suffers from feeling depressed at some point or other, but only about one fifth of the population will experience an episode of depressive disorder over the course of their lives. This course illuminates the public health approach to disease, and the particular complexities of applying this approach to mental disorders, using depression as the exemplar.","psychology; cross-cultural-communication; epidemiology; causality; psychiatry; mental-health; determination; major-depression-diagnosis-/-treatment; psychologies; public-health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,20.6]","Chinese","English","life-sciences","public-health","s6_Z4SBAEeWcQw5YiljpGw"]
["2. Upskill","Public Health","Systems Thinking In Public Health","Johns Hopkins University","Intermediate",11.7,4.64,"https://www.coursera.org/learn/systems-thinking","This course provides an introduction to systems thinking and systems models in public health. Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems  thinking is a core skill in public health and helps health policymakers build programs and policies that are aware of and prepared for unintended consequences.\\n\\nAn important part of systems thinking is the practice to integrate multiple perspectives and synthesize them into a framework or model that can describe and predict the various ways in which a system might react to policy change. Systems thinking and systems models devise strategies to account for real world complexities.\\n\\n\\nThis work was coordinated by the Alliance for Health Policy and Systems Research, the World Health Organization, with the aid of a grant from the International Development Research Centre, Ottawa, Canada. Additional support was provided by the Department for International Development (DFID) through a grant (PO5467) to Future Health Systems research consortium.\\n\\n© World Health Organization 2014\\nAll rights reserved. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement. The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended by the World Health Organization in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters. All reasonable precautions have been taken by the World Health Organization to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the World Health Organization be liable for damages arising from its use. Johns Hopkins University Bloomberg School of Public Health has a non-exclusive license to use and reproduce the material.","flow-network; stock; systems-thinking; system-dynamics; thought; stock-and-flow; causality; modeling; vensim; public-health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.6,13.8]","NA","English","life-sciences","public-health","svzDI2FSEeW6DxKCi866Kw"]
["2. Upskill","Public Health","Epidemiology: The Basic Science of Public Health","The University of North Carolina at Chapel Hill","Advanced",12.7,4.56,"https://www.coursera.org/learn/epidemiology","Often called “the cornerstone” of public health, epidemiology is the study of the distribution and determinants of diseases, health conditions, or events among populations and the application of that study to control health problems. By applying the concepts learned in this course to current public health problems and issues, students will  understand the practice of epidemiology as it relates to real life and makes for a better appreciation of public health programs and policies. This course explores public health issues like cardiovascular and infectious diseases – both locally and globally – through the lens of epidemiology.","clinical-study-design; learning; epidemiology; statistics; causality; clinical-epidemiology; public-health; disease; measurement; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.9,15.6]","Chinese","English","life-sciences","public-health","FjD-ZB8oEeScWCIACnuVZQ"]
["2. Upskill","Public Health","Disease Screening in Public Health","University of Geneva","Advanced",21.9,4.28,"https://www.coursera.org/learn/screening","Current and future public health is characterized by the increase of chronic and degenerative diseases, corresponding to the worldwide ageing of the population. The increasing prevalence of these conditions together with the long incubation period of the chronic diseases and the continual technological innovations, offer new opportunities to develop strategies for early diagnosis.\\n\\nPublic Health has an important mandate to critically assess the promises and the pitfalls of disease screening strategies. This MOOC will help you understand important concepts for screening programs that will be explored through a series of examples that are the most relevant to public health today.  We will conclude with expert interviews that explore future topics that will be important for screening.\\n\\nBy the end of this MOOC, students should have the  competency needed to be involved in the scientific field of screening, and understand the public health perspective in screening programs.\\n\\nThis MOOC has been designed by the University of Geneva and the University of Lausanne. \\nThis MOOC has been prepared under the auspices of the Ecole romande de santé publique (www.ersp.ch) by Prof. Fred Paccaud, MD, MSc, Head of the Institute of Social and Preventive Medicine in Lausanne (www.iumsp.ch), in collaboration with Professor Antoine Flahault, MD, PhD, head of the Institute of Global Health, Geneva (https://www.unige.ch/medecine/isg/en/) and Prof. Gillian Bartlett-Esquilant (McGill University, Quebec/ Institute of Social and Preventive Medicine, Lausanne).","non-communicable-disease; epidemiology; cancer; planning; evaluation; mental-health; disease; pregnancy; prevalence; public-health","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.2,30.1]","NA","English","life-sciences","public-health","1cjJ8SGJEeWa6hIFcmm3AQ"]
["2. Upskill","Security","Industrial IoT Markets and Security","University of Colorado Boulder","Intermediate",18.2,4.48,"https://www.coursera.org/learn/industrial-iot-markets-security","This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nDeveloping tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.\\n\\nThis is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all \"Internet of Things\" product development.\\n\\nIn this course students will learn :\\n  * What Industry 4.0 is and what factors have enabled the IIoT\\n  * Key skills to develop to be employed in the IIoT space\\n  * What platforms are, and also market information on Software and Services\\n  * What the top application areas are (examples include manufacturing and oil & gas)\\n  * What the top operating systems are that are used in IIoT deployments\\n  * About networking and wireless communication protocols used in IIoT deployments\\n  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication","security; internet; list-of-facebook-features; wireless; edge-computing; integration-testing; encryption; cryptography; internet-of-things; source-code","Developing Industrial Internet of Things",1.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[6.3,21.7]","NA","English","computer-science","design-and-product","88AS74tsEeiIKw52w5bZOA"]
["2. Upskill","Security","Homeland Security & Cybersecurity Connection - It's Not About the Terrorists","University of Colorado System","Intermediate",6.9,4.66,"https://www.coursera.org/learn/homeland-security-cybersecurity-connection","Welcome to Course 1 in CS4950, Homeland Security and Cybersecruity. In this course we examine the origins of homeland security and its connection with cybersecurity. Homeland security is about safeguarding the United States from domestic catastrophic destruction. Catastrophic destruction comes in two forms: natural and man-made. For most of history the man-made variety came in the form of warfare and required the combined resources of a nation state. All that changed March 20th, 1995. On that date, members of a quasi-religious cult in Japan attacked the Tokyo subway system using Sarin gas. It was the first deployment of a weapon of mass destruction my a non-state actor. The power of destruction once reserved to nation states was now available to small groups, even individuals. The incident was a wake up call for governments around the world. Defense establishments designed to keep rogue states in check were practically useless against non-state actors. Overnight, the number of potential enemies multiplied a hundred, maybe even a thousand-fold. In response to the Tokyo Subway Attacks, the United States took measures to protect itself from WMD attack by non-state actors. Those measures were still being enacted when the nation was attacked on 9/11. On September 11, 2001, nineteen hijackers inflicted as much damage as the Imperial Japanese Navy on December 7, 1941. The investigating 9/11 Commission noted the attacks for their \"surpassing disproportion\". The hijackers had achieved WMD effects without using WMD. They did this by subverting the nation's transportation infrastructure, turning passenger jets into guided missiles. Again, the security implications were profound. Non-state actors seeking to inflict domestic catastrophic destruction did not need to import, fabricate, or acquire WMD as the nation was surrounded by the means of its own destruction in the form of critical infrastructure. The vulnerability of critical infrastructure had not gone unnoticed. Again, in response to the Tokyo Subway attacks, which themselves had been an attack on Japanese infrastructure, President Clinton in 1996 commissioned a panel to investigate the threat to United States' infrastructure. The panel replied in 1997 that there was no immediate threat to US infrastructure, but they were concerned with the growing risk of cyber attack. The same cyber physical systems that fueled the explosive growth of the Internet were being incorporated into Industrial Control Systems that underpinned much of the nation's critical infrastructure. The panel noted that the knowledge and skills necessary to mount a cyber attack on the nation's infrastructure was growing. As a result of this observation, President Clinton in 1998 ordered the protection of US critical infrastructure, especially from cyber attack. Following 9/11, critical infrastructure protection and cybersecurity were designated core missions in the 2002 Homeland Security Act establishing the new Department of Homeland Security. They remain core missions to this day, but many don't see the connection. The connection is this: cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.  I look forward to working with you in the coming lessons.  Best wishes and good luck!\\n\\nCourse 1: Homeland Security & Cybersecurity Connection\\nCourse 2: Cybersecurity Policy for Water and Electricity Infrastructures\\nCourse 3: Cybersecurity Policy for Aviation and Internet Infrastructures\\nCourse 4: Homeland Security & Cybersecurity Future","home-network; cyberwarfare; history; statistical-classification; thought; computer-security; security; home-directory; land; integration-testing","Homeland Security and Cybersecurity",1.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[3.7,9.6]","NA","English","social-sciences","governance-and-society","PxtXqrjVEeaNVQ4ho5Fvgg"]
["2. Upskill","Security","Introduction to Cyber Attacks","New York University Tandon School of Engineering","Advanced",13.0,4.61,"https://www.coursera.org/learn/intro-cyber-attacks","This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades. \\n\\nFamiliar analytic models are outlined such as the confidentiality/integrity/availability (CIA) security threat framework, and examples are used to illustrate how these different types of threats can degrade real assets. The course also includes an introduction to basic cyber security risk analysis, with an overview of how threat-asset matrices can be used to prioritize risk decisions. Threats, vulnerabilities, and attacks are examined and mapped in the context of system security engineering methodologies.","matrices; cyberattacks; information-security; threat; risk; security; risk-assessment; threat-computer; denial-of-service-attacks; computer-security","Introduction to Cyber Security",1.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7,16.6]","NA","English","computer-science","computer-security-and-networks","pvX6CD5REeaObA6SJ3XZwQ"]
["2. Upskill","Security","Cybersecurity Policy for Water and Electricity Infrastructures","University of Colorado System","Intermediate",6.6,4.64,"https://www.coursera.org/learn/cybersecurity-policy-water-electricity","This course will examine the drinking water and electricity infrastructures, and various policies that have been developed to help guide and strengthen their cybersecurity programs.  The drinking water and electricity infrastructures are two of fourteen subsectors comprising what are known as \"lifeline infrastructure\". The 2013 National Infrastructure Protection Plan identifies four lifeline infrastructure sectors: 1) water, 2) energy, 3) transportation, and 4) communications. These sectors are designated \"lifeline\" because many other infrastructures depend upon them.  The drinking water subsector is part of the water sector, and the electricity subsector is part of the energy sector.  Both subsectors are overseen by the Department of Homeland Security National Protection and Programs Directorate which manages the DHS National Infrastructure Protection Program. The NIPP employs a five-step continuous improvement program called the Risk Management Framework. NIPP implementation is overseen by DHS-designated Sector-Specific Agencies staffed by various Federal departments. The Sector-Specific Agencies work in voluntary cooperation with industry representatives to apply the Risk Management Framework and document results in corresponding Sector-Specific Plans.  The program began in 2007 and the most recent Sector-Specific Plans were published in 2016. In February 2013, President Obama issued Executive 13636 directing the National Institute of Standards and Technology to develop a voluntary set of recommendations for strengthening infrastructure cybersecurity measures. EO13636 also asked Federal agencies with regulating authority to make a recommendation whether the NIST Cybersecurity Framework should be made mandatory. The Environmental Protection Agency who is both the SSA and regulatory authority for the drinking water subsector recommended voluntary application of the NIST Cybersecurity Framework. The Department of Energy who is both the SSA and regulatory authority for the electricity subsector replied that it was already implementing the Electricity Subsector Cybersecurity Capability Maturity Model, which indeed was what the NIST Cybersecurity Framework was based on.  The Department of Energy, though, recommended voluntary application of the ES-C2M2. This module will examine both the drinking water and electricity lifeline infrastructure subsectors, and elements and application of the NIST Cybersecurity Framework and ES-C2M2.","interest; seeks; maturity-models; computer-security; maturity-finance; resource; risk-assessment; risk; capability-maturity-model; modeling","Homeland Security and Cybersecurity",2.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[3.4,9.5]","NA","English","social-sciences","governance-and-society","ZV1XndkXEeaK7g6oc5zEgg"]
["2. Upskill","Security","Cybersecurity Policy for Aviation and Internet Infrastructures","University of Colorado System","Intermediate",5.8,4.68,"https://www.coursera.org/learn/cybersecurity-policy-aviation-internet","In this course we will examine the aviation and Internet infrastructures, and various policies that have been developed to help guide and strengthen their cybersecurity programs.  The aviation and Internet infrastructures are also considered \"lifeline infrastructure\" as part of the transportation and communications sectors. Both subsectors are overseen by the Department of Homeland Security National Protection and Programs Directorate which manages the DHS National Infrastructure Protection Program. SSA responsibility for the aviation subsector is shared between the Transportation Security Administration and Federal Aviation Administration under the auspices of the Department of Homeland Security and Department of Transportation respectively.  The Department of Homeland Security retains sole responsibility as the Sector-Specific Agency for the Internet subsector.  While TSA and FAA have regulatory over the aviation subsector, DHS has no regulatory authority whatsoever over the Internet. In response to Executive Order 13636 issued by President Obama in February 2013, both sets of SSAs recommended continuing with voluntary cybersecurity measures. TSA and FAA reported they were working to implement the Transportation Roadmap across all transportation subsectors, including aviation. DHS reported that it was working with Internet providers to implement the Cyber Assessment Risk Management Approach. Despite some differences, the Transportation Roadmap and CARMA are very similar to the NIST Cybersecrity Framework and ES-C2M2 examined previously.  That is to say, they are predicated on a continuous improvement process that engages the whole organization in identifying and implementing incremental changes to enhance cybersecurity practices based on prevailing standards. This module will examine both the aviation and Internet lifeline infrastructure subsectors, and elements and application of the Transportation Roadmap and CARMA.","risk; management; transporting; cyber-security-regulation; risk-management-framework; risk-management; computer-security; risk-assessment; internet; integration-testing","Homeland Security and Cybersecurity",3.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.9,7.4]","NA","English","social-sciences","governance-and-society","ihL3vNkYEeaDExLRWbCaPg"]
["2. Upskill","Security","Understanding Terrorism and the Terrorist Threat","University of Maryland, College Park","Intermediate",21.9,4.72,"https://www.coursera.org/learn/understandingterror","The National Consortium for the Study of Terrorism and Responses to Terrorism (START), a Department of Homeland Security Center of Excellence housed at the University of Maryland, offers a course looking at the who, what and how of Terrorism Studies, by introducing students to cutting-edge research from the social and behavioral sciences and the experts investigating these topics.  \\n\\nThe course will begin with a unit looking at widely held myths about terrorism and utilizing empirical data to discuss the realities of broad trends and patterns in terrorist attacks over time. The course will then review the psychological factors at play in individual radicalization and recruitment into terrorism, followed by an analysis of terrorist group dynamics. The course will next look at terrorist group operations, including their attacks and some of the supporting behaviors that allow them to carry out attacks, including use of media, financing, recruitment, and training. The course will conclude by looking at the factors that drive terrorist group persistence or endurance versus terrorist group desistance, and will bring the varied course concepts together through a detailed look at the case of Al-Qa’ida.  \\n\\nThroughout the course, students will have the opportunity to study and work with the University of Maryland’s Global Terrorism Database (GTD), the largest database of terrorist incidents in the world, learning its capabilities and developing basic skills in searching and displaying terrorism data.","critical-thinking; terrorism; integration-testing; database; qualitative-research; learning; international-relations; statistics; analysis; recruitment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.3,26.5]","Greek; Spanish","English","social-sciences","governance-and-society","nzM4LgHTEeaosAqqqSjfcQ"]
["2. Upskill","Security","Terrorism and Counterterrorism: Comparing Theory and Practice","Universiteit Leiden","Intermediate",22.3,4.71,"https://www.coursera.org/learn/terrorism","Terrorism has arguably been one of the defining factors of our age. It frequently makes headlines, threatening or attacking governments, private business and ordinary citizens. And in many parts of the world, it has been one of the most important threats to peace, security and stability. But what does this exactly mean? What is the nature of this threat? Who or what is threatened, how, by whom and why? What can be done about it or how can we at least limit the impact of terrorism and make sure that terrorists do not make headlines and manage to scare us?\\n\\nThese are just a handful of questions that will be addressed in this course that consists of three parts. First it focuses on the essence of terrorism as an instrument to achieve certain goals, in addition to an exploration of this phenomenon and the difficulties in defining it. \\n\\nThe second part provides an overview of the state of the art in (counter) terrorism studies. Since ‘9/11’ terrorism studies have grown exponentially, reflecting the rise in perceived threats. But what has academia come up with? What theories, assumptions and conventional wisdom has it produced that could be of help in understanding terrorism and dealing with it? The most interesting results are examined and compared with empirical evidence with the aim to either stress their importance or to debunk them as myths. \\n\\nThe final part looks into the implications and possibilities for policy making. The course ends with a module specifically designed to address one of today's most topical issue: the foreign fighter phenomenon.","counter-terrorism; international-relations; history; law; analysis; terrorism; political-science; policy-analysis; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12,30.6]","Ukrainian; French","English","social-sciences","governance-and-society","A0IYf6jOEeSnlCIAC1EMbw"]
["2. Upskill","Security","Understanding 9/11: Why 9/11 Happened & How Terrorism Affects Our World Today","Duke University","Beginner",16.3,4.6,"https://www.coursera.org/learn/911-attack","This course will explore the forces that led to the 9/11 attacks and the policies the United States adopted in response. We will examine the phenomenon of modern terrorism, the development of the al Qai'da ideology, and the process by which individuals radicalize towards violence.","terrorism; belief; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.7,22.3]","NA","English","social-sciences","governance-and-society","QQVzGrY7EeWbNBLZhfEI2Q"]
["2. Upskill","Security","Paradoxes of War","Princeton University","NA",32.4,4.56,"https://www.coursera.org/learn/war","The Paradoxes of War teaches us to understand that war is not only a normal part of human existence, but is arguably one of the most important factors in making us who we are. Through this course, I hope that you will come to appreciate that war is both a natural expression of common human emotions and interactions and a constitutive part of how we cohere as groups. That is, war is paradoxically an expression of our basest animal nature and the exemplar of our most vaunted and valued civilized virtues. You will learn some basic military history and sociology in this course as a lens for the more important purpose of seeing the broader social themes and issues related to war. I want you to both learn about war, but more importantly, use it as way of understanding your everyday social world. So, for example, the discussion of war and gender will serve to start you thinking about how expectations of masculinity are created and our discussion of nationalism will make clear how easy “us-them” dichotomies can be established and (ab)used. I will suggest some readings for you to complement the class and assign some activities through which you will be able to apply the theoretical insights from the course to your observations of everyday life. At the end of the course, you will start to see war everywhere and come to appreciate how much it defines our life.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","terrorism; war; anthropology; military; english-language; history; sociology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.8,39.8]","NA","English","social-sciences","governance-and-society","d_71NKdPEeSOWCIAC2iDyw"]
["2. Upskill","Security","Cybersecurity Awareness and Innovation","EIT Digital","Beginner",3.9,4.28,"https://www.coursera.org/learn/cybersecurity","It’s not you, it’s me! What’s going on? \\n\\nThis course empowers students, professionals and wider community to deal with cybersecurity attacks and risks focused on identity management and it is an introduction to the upcoming full course focused on cybersecurity awareness.\\nIt is provided a practical overview of challenging issues like identity credentials management and security, e-mail threats and web impersonation, or web hacking. In addition to this, you will have a practical appreciation to innovation applied to these concepts through an interview with a renowned expert in fraud and cybercrime. Teaching staff consists of Iván Pau, UPM researcher and expert in usable security, and Román Ramírez, hacker and cybersecurity expert.  \\nLearning will be carried out by introducing use cases related with cybersecurity incidents, in a way which ensures that participants get really involved in the course. You will easily acquire practical skills and be ready to face real threats in a digital world.\\n\\nThis course is part of an online programme developed by Universidad Politécnica de Madrid (world class tech university renowned for the quality of its education programmes and the research undertaken at its centres), Ferrovial (world's leading private investor in cities and infrastructures, with a workforce of more than 74.000 employees and operations in more than 16 countries) and EIT Digital.\\n\\nStay tuned for the full course! COMING SOON!","email; awareness; security-awareness; computer-security; threat; password; identity-management; security; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.1,4.5]","NA","English","information-technology","security","EPE3_nfpEemlDg5HMbzNvA"]
["2. Upskill","Social Entrepreneurship","Identifying Social Entrepreneurship Opportunities","Copenhagen Business School","Intermediate",17.5,4.62,"https://www.coursera.org/learn/social-entrepreneurship-opportunities","This Course will clarify the definition and meaning of Social Entrepreneurship and will focus on the need to learn about the source and root of a social problem. You will be introduced to different perspectives about Social Entrepreneurship and you will learn about complementary and opportunistic assets which will help you to detect an opportunity and develop an idea of how to create a business for social change. \\n\\nFrom a practical perspective you will be asked to initiate a team formation process and start to think about a problem topic that you want to address with your social venture in the future. You will work in a team to research this topic and will gradually start to think about a particular opportunity and identify a purpose for your social venture project.","learning; social-entrepreneurship; fundraising; project; opportunity-identification; modeling; business-model; asset; income; entrepreneurship","Social Entrepreneurship",1.0,"https://www.coursera.org/specializations/social-entrepreneurship-cbs","In this specialization you will learn how to create societal impact through Social Entrepreneurship. Social Entrepreneurship describes the discovery and sustainable exploitation of opportunities to create social change. We will introduce you to examples of Social Entrepreneurship and guide you through the process of establishing a venture to address a social or environment problem. You will form of team and study a problematic issue to learn more about the source of the problem. We will equip you with frameworks identifying opportunities, support your team, and outlining your idea. You will develop your idea and iterate on your business model throughout the Specialization, and conclude with completing a business plan.","[13,21.2]","NA","English","business","entrepreneurship","fZAFN9XcEeWFqw71fuUDrw"]
["2. Upskill","Social Entrepreneurship","Social Business Model and Planning for Social Innovation","Copenhagen Business School","Intermediate",14.3,4.51,"https://www.coursera.org/learn/social-business-model","In this course we will take the social business opportunity that you have identified in the first course to a higher level. Specifically, you will develop a business model using the Business Model Canvas. Gradually you will also start writing your business plan. Moreover, you will be able to assess different organizational forms and select the one that is appropriate for your developed business model. By the end of the course you will be able to compare different social impact investment methods and choose the right funding strategy for your social venture.\\n\\nNote: It is highly recommended to have completed Course 1: 'Identifying Social Entrepreneurship Opportunities' before you start with this Course!","impact-investing; social-entrepreneurship; plan; social-business-model; business-plan; innovation; business-model; modeling; investor; entrepreneurship","Social Entrepreneurship",2.0,"https://www.coursera.org/specializations/social-entrepreneurship-cbs","In this specialization you will learn how to create societal impact through Social Entrepreneurship. Social Entrepreneurship describes the discovery and sustainable exploitation of opportunities to create social change. We will introduce you to examples of Social Entrepreneurship and guide you through the process of establishing a venture to address a social or environment problem. You will form of team and study a problematic issue to learn more about the source of the problem. We will equip you with frameworks identifying opportunities, support your team, and outlining your idea. You will develop your idea and iterate on your business model throughout the Specialization, and conclude with completing a business plan.","[10.1,17.7]","NA","English","business","entrepreneurship","7BnPwFAnEeal6Q45aayEvw"]
["2. Upskill","Social Entrepreneurship","Unleashing the Impact of your Social Enterprise","Copenhagen Business School","Beginner",10.4,4.5,"https://www.coursera.org/learn/social-impact-growth","In Course 3 of this Specialization you will first of all learn about  Social Impact Assessment. Hence you will be able to develop a method to evaluate the social mission that you achieve while implementing your business plan. Next you will outline an appropriate communication strategy for your social enterprise and will demonstrate how to market your products and services to beneficiaries and other customers. Here you will employ an adaptable communication strategy as you move from early adopters to a broader market share. \\n\\nFurthermore you will determine growth strategies and how you can scale or replicate your business plan internationally in order to reach a larger number of beneficiaries. In particular you will discuss organic growth, social franchising, and an open source approach. Finally, you will evaluate exit strategies. Thus you will review options social enterprises have when they need to finance their growth but the original funders can not or do not want to finance the expansion. \\n\\nCourse 3 will be completed by your Capstone project, which will ask you to submit the final business plan of your social venture.\\n\\nNote: It is highly recommended to have completed Course 1 & 2 of the Social Entrepreneurship Specialization before starting this Course!","business-plan; social-entrepreneurship; competitor-analysis; exit-strategy; financial-plan; impact-assessment; plan; entrepreneurship; communication; analysis","Social Entrepreneurship",3.0,"https://www.coursera.org/specializations/social-entrepreneurship-cbs","In this specialization you will learn how to create societal impact through Social Entrepreneurship. Social Entrepreneurship describes the discovery and sustainable exploitation of opportunities to create social change. We will introduce you to examples of Social Entrepreneurship and guide you through the process of establishing a venture to address a social or environment problem. You will form of team and study a problematic issue to learn more about the source of the problem. We will equip you with frameworks identifying opportunities, support your team, and outlining your idea. You will develop your idea and iterate on your business model throughout the Specialization, and conclude with completing a business plan.","[7.4,13.4]","NA","English","business","entrepreneurship","OjZYLlApEeaAmBJfqzpttQ"]
["2. Upskill","Social Entrepreneurship","Becoming a changemaker: Introduction to Social Innovation","University of Cape Town","Beginner",19.7,4.8,"https://www.coursera.org/learn/social-innovation","This free 6 week course is for anyone who wants to make a difference. Whether you are already familiar with the field of social innovation or social entrepreneurship, working for an organization that wants to increase its social impact, or just starting out, this course will take you on a journey of exploring the complex problems that surround us and how to start thinking about solutions. \\n \\nWe will debunk common assumptions around what resources are needed to begin acting as a social innovator. We will learn from the numerous examples of social innovations happening all over the world. You will be challenged to get out of your comfort zone and start engaging with the diverse spaces around you. By the end of the course, you will have formed your own approach to social innovation, and you will have begun to develop the concepts, mindset, skills, and relationships that will enable you to start and evolve as a changemaker.\\n\\nYou will be able to purchase a Verified Certificate if you wish to show evidence of your achievements, but this is optional, and you may apply for Financial Aid if you are unable to pay the certificate fee.\\n\\nThe Bertha Centre for Social Innovation and Entrepreneurship co-created this course with RLabs, a social movement ‘born-and-bred’ in Bridgetown, Cape Town that is now active in 22 countries. The movement empowers youth through innovative and disruptive technology by teaching them vital skills and providing much needed support and a sense of community.  Advocating and supporting initiatives such as RLabs forms part of the Bertha Centre’s mandate. The Centre is a specialised unit at University of Cape Town’s Graduate School of Business, and is the first academic centre in Africa dedicated to advancing social innovation and entrepreneurship.\\n\\nYou can view the course trailer at www.youtube.com/watch?v=TcWYG64WO20\\nTweet about this course using the hashtag #socinnMOOC","resource; innovation; sustainability; systems-thinking; thought; design-thinking; social-entrepreneurship; management; entrepreneurship; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.6,22.4]","NA","English","business","entrepreneurship","XczDJRhBEeaUCRJWL-pjpQ"]
["2. Upskill","Taxation","Federal Taxation I: Individuals, Employees, and Sole Proprietors","University of Illinois at Urbana-Champaign","Intermediate",37.3,4.88,"https://www.coursera.org/learn/federal-taxation-individuals","This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040.\\n\\nIf you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa ","individual-tax-returns; taxation; federal-tax-returns; credit; tax-preparation; income-tax; law; income; tax-returns; tax-law","U.S. Federal Taxation",1.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[20.7,43.2]","NA","English","business","business-essentials","uCrSqjAVEeeZnwpGNf0eQA"]
["2. Upskill","Taxation","Federal Taxation II: Property Transactions of Business Owners and Shareholders","University of Illinois at Urbana-Champaign","Advanced",34.2,4.79,"https://www.coursera.org/learn/federal-taxation-business","This course examines the U.S. federal tax system as it relates to property transactions of business owners and shareholders. Topics include cost recovery, such as depreciation, amortization, and depletion; calculation of realized versus recognized gains and losses; evaluation of the potential tax effects of nontaxable exchanges; and the combining, or netting, gains and losses that are different in nature. Assignments facilitate self-discovery of knowledge and development of a variety of professional skills.","asset; accounting; depreciation; netting; amortization; shareholders; cost; taxation; dotproperties; integration-testing","U.S. Federal Taxation",2.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[20.3,39.1]","NA","English","business","business-essentials","hkzBbkoiEee4pw7hxA2o1A"]
["2. Upskill","Taxation","Taxation of Business Entities I: Corporations","University of Illinois at Urbana-Champaign","Advanced",33.6,4.66,"https://www.coursera.org/learn/taxation-business-entities-part-1","This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","tax-law; income; studentized-residual; liquidation; income-tax; restructuring; accounting; corporate-taxation; taxation; corporate-bond","U.S. Federal Taxation",3.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[16.2,43]","NA","English","business","business-essentials","wvZRZ0okEeeOdhJtXwU6ZA"]
["2. Upskill","Taxation","Taxation of Business Entities II: Pass-Through Entities","University of Illinois at Urbana-Champaign","Advanced",29.6,4.7,"https://www.coursera.org/learn/taxation-business-entities-part-2","This course provides an introduction to the U.S. federal income taxation of pass-through business entities, including Subchapter S corporations, partnerships, and limited liability companies. The course focuses on the relevant provisions of Subchapters S and K of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing the formation, operation, and termination of pass-through entities. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","taxation; sales; operations-management; limited-liability; entity; accounting; professional; income; flow-through-entity; partnership","U.S. Federal Taxation",4.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[15.1,38.9]","NA","English","business","business-essentials","8BiT4EokEeeJdBL3H0RODg"]
["2. Upskill","Taxation","U.S. Federal Taxation Capstone","University of Illinois at Urbana-Champaign","Advanced",8.9,4.91,"https://www.coursera.org/learn/us-federal-tax-capstone","The Capstone is the culminating project in the US Federal Tax Specialization. You will have the opportunity to combine the concepts and techniques obtained through all the courses in this specialization (Federal Taxation I: Individuals, Employees and Sole Proprietors, Federal Taxation II: Property Transactions of Business Owners and Shareholders, Taxation of Business Entities I: Corporations, and Taxation of Business Entities II: Pass-Through Entities) and apply them to a real world tax project. The Capstone project will be 3 weeks long. You must take the Capstone project class after taking all the other courses in this Specialization.","tax-preparation; taxation; law; utility; tax-reform; real-estate; accounting; tax-accounting-in-the-united-states; payroll; integration-testing","U.S. Federal Taxation",5.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[4.4,11.9]","NA","English","business","business-essentials","tXt1sUoiEeeMtBKozo_2UA"]

{"sheet":"9. TL","index":15,"n_rows":37,"n_cols":20,"rows_kept":37,"cut":false,"hidden":false,"merged":[]}
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["Transport & Logistics","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team","Engineering?",null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Smart Cities","Smart Cities – Management of Smart Urban Infrastructures","École Polytechnique Fédérale de Lausanne","Beginner",14.4,4.62,"https://www.coursera.org/learn/smart-cities","Learn about Smart Cities within the context of management of urban infrastructures. The introduction of Smart urban technologies into legacy infrastructures has resulted in numerous challenges and opportunities for contemporary cities and will continue to do so. This course will help you to understand how to make the best of these smart technologies in your cities’ legacy infrastructures. \\nOver the past few years, advances in the Information and Communication Technologies (ICTs) have significantly challenged the traditionally stable land scape of urban infrastructure service provision. This has resulted in increasing interest from both technology vendors and public authorities in the transition of cities towards so-called “Smart Cities”. Although such “Smart technologies” can provide immense opportunities for citizens and service providers alike, the ICTs often act as disruptive innovators of urban infrastructure service provision.\\nIn this MOOC, you will gain a thorough understanding of the challenges and opportunities associated with the Smart urban infrastructures, namely Smart urban transportation and Smart urban energy systems. Over the journey of this 5-week online course you will learn about the most important principles for the management of Smart urban infrastructures as well as the applications of these principles in the transportation and energy sectors. \\nThis course does not have any prerequisites. However, to take the most away from of this MOOC, we strongly encourage you to enroll in our other MOOC on the Management of Urban Infrastructures, which has been widely praised by learners. \\nThrough this course, you will:\\n- Gain a deep understanding of the nature of disruptive innovations (smart technologies) in urban infrastructure systems;\\n- Learn about state-of-the-art strategies for effectively managing the transition from legacy infrastructures to smart urban systems;\\n- Study the management of the transition phase from legacy infrastructure systems to smart cities by supporting innovations while avoiding early lock-in; and\\n- Understand potential applications of the materials learned in this course within the context of the management of smart urban transportation systems as well as smart urban energy systems.","digitizing; management; city-planning; systems-thinking; planning; smart-grid; smart-city; city-management; data-analysis; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.6,19.5]","Persian; French","English","social-sciences","governance-and-society","AHvXwCwKEeaMjA6stS_New"]
["1. Literacy","Supply Chain Management","Supply Chain Principles","Georgia Institute of Technology","Beginner",17.9,4.62,"https://www.coursera.org/learn/supply-chain-principles","This course will provide a solid understanding of what a supply chain is all about. The course:\\n- Provides an introduction to Supply Chain \\n- Leverages graphics to promote the Integrated Supply Chain model\\n- Emphasizes understanding the Extended Supply Chain\\n- Presents a holistic approach – Incorporating People, Process, and Technology \\n- Calls-out industry-specific supply chain\\n- Leverages discussions, videos, quizzes, and questions for consideration\\n- Provides awareness of career path opportunities\\n- Presents emerging and futuristic trends in supply chain\\nand given that at GT we are focused on developing what’s next in the world, we include Discussion of emerging and futuristic trends in supply chain. There is very little math involved in this course – so don’t worry at all about your math skills.\\n\\nThe course incorporates reading materials that were developed as part of a $24.5M TAACCCT grant awarded by the U.S. Department of Labor’s Employment and Training Administration to the LINCS in Supply Chain Management consortium.","planning; warehouse-management; supply-chain; supply-chain-management; supply-chain-network; transporting; procurement; chaining; management; principle","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,27.9]","NA","English","business","business-essentials","YrbKHF42Eea2uw7FUMTxlQ"]
["1. Literacy","Supply Chain Management","Supply Chain Logistics","Rutgers the State University of New Jersey","Beginner",12.6,4.71,"https://www.coursera.org/learn/supply-chain-logistics","Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics!\\n\\nInterested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers","inventory; logistics-systems; transportation-logistics; logistics-management; logistics-planning; planning; chaining; warehouse-management; supply-chain; management","Supply Chain Management",1.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.8,14.8]","Russian; Vietnamese; Greek; German; Arabic","English","business","business-essentials","zwqURwiiEeahpQ5cgS1w4w"]
["1. Literacy","Supply Chain Management","Supply Chain Operations","Rutgers the State University of New Jersey","Beginner",11.1,4.77,"https://www.coursera.org/learn/operations","Have you ever wondered how products and services are created exactly the same thousands of times over? And how companies are able to smooth out operations to manufacture efficiently, effectively, and without any waste? How is such precision possible? The answer lies at the heart of operations. In the Supply Chain Operations course, we introduce and apply essential process improvement tools to achieve perfection. After completing this course, you will be able to apply the Six Sigma methodology for process improvement. You will demonstrate that you understand the basic tenets of the Lean philosophy that enables manufacturers to eliminate waste and make processes more efficient. Finally, you will be able to apply the tools that you just gained to improve a process of your own. This is an introductory course designed to provide you with a start on your learning journey in operations. You do not need to have any background in operations, but it would be beneficial if you had a basic understanding of business concepts, a working knowledge of spreadsheets, and ideally have mastered the Supply Chain Logistics course. Join me and we will learn together about operations!","chaining; lean-six-sigma; operations-management; inventory; lean-thinking; trigonometric-integral; supply-chain-management; supply-chain; management; six-sigma","Supply Chain Management",2.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[7.1,13.3]","Greek","English","business","business-strategy","Af9tmQitEeaXahL027DW1w"]
["2. Upskill","Construction","Construction Project Management","Columbia University","Beginner",33.7,4.76,"https://www.coursera.org/learn/construction-project-management","Construction Project Management introduces you to Project Initiation and Planning. Industry experts join Columbia University professor, Ibrahim Odeh, to give an overview of the construction industry. \\n\\nProfessor Odeh teaches the fundamentals of the Project Development Cycle while guest lecturers discuss Lean Project Delivery method and Lean Design Behaviors. \\n\\nTechnological advances, such as Building Information Modeling, will be introduced with real world examples of the uses of BIM during the Lifecycle of the Project. The course concludes with Professor Odeh discussing the importance of project planning and scheduling and an opportunity to develop a Work Breakdown Structure.","project-management; work-breakdown-structure; project-plan; construction-management; planning; building-information-modeling; project-planning; project; plan; management","Construction Management",1.0,"https://www.coursera.org/specializations/construction-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[18.4,56.8]","NA","English","business","business-strategy","OmP4nwi9EeajCxI_63r-IQ"]
["2. Upskill","Construction","Construction Scheduling","Columbia University","Intermediate",37.9,4.74,"https://www.coursera.org/learn/construction-scheduling","Learners will discover the key project scheduling techniques and procedures including; how to create a network diagram, how to define the importance of the critical path in a project network, and defining project activities float. Also covered are the fundamentals of Bar Charts, Precedence Diagrams, Activity on Arrow, PERT, Range Estimating, and linear project operations and the line of balance.","schedule; schedule-project-management; program-evaluation-and-review-technique; linear-scheduling-method; risk; project-management; project; linearity; path-variable; management","Construction Management",2.0,"https://www.coursera.org/specializations/construction-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[18.3,60.7]","NA","English","business","business-strategy","ZqfR0mMmEeaCYxJIZlTIQQ"]
["2. Upskill","Construction","Construction Cost Estimating and Cost Control","Columbia University","Intermediate",46.8,4.65,"https://www.coursera.org/learn/construction-cost-estimating","This course introduces the types of cost estimation from the conceptual design phase through the more detailed design phase of a construction project. In addition, the course highlights the importance of controlling costs and how to monitor project cash flow. Students will work on a break-even analysis of construction tasks in a project.","cost-estimate; flow-network; cost; estimation; earned-value-management; cost-control; project; cash-flow-management; cash-flow; management","Construction Management",3.0,"https://www.coursera.org/specializations/construction-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[18.4,80.3]","NA","English","business","business-strategy","A0_iymMnEea_8A7Guyve4Q"]
["2. Upskill","Construction","Construction Finance","Columbia University","Beginner",31.8,4.72,"https://www.coursera.org/learn/construction-finance","The final course of the specialization expands the knowledge of a construction project manager to include an understanding of economics and the mathematics of money, an essential component of every construction project.  Topics covered include the time value of money, the definition and calculation of the types of interest rates, and the importance of Cash Flow Diagrams.","project-management; plan; financial-modeling; lean-methods; project; real-estate; finance; risk; cost; management","Construction Management",4.0,"https://www.coursera.org/specializations/construction-management","Construction Management is the planning, coordinating, and building of a project from conception to completion. This specialization is intended for Construction industry professionals, engineers, and architects looking to advance their careers. Students interested in learning about construction project management would also benefit from this specialization.","[15.7,52.8]","NA","English","business","business-strategy","NuTWp2MnEeaeIg4x_IP1iQ"]
["2. Upskill","Construction","Mastering bitumen for better roads and innovative applications","École des Ponts ParisTech","Advanced",9.5,4.7,"https://www.coursera.org/learn/mastering-bitumen","During the four coming weeks, best experts in bitumen will bring you their knowledge and experience to build a strong understanding of today’s realities and new perspectives on the future of bitumen.\\n\\nTotal is the European leader on bitumen markets. Innovation has always been the key to sustainability and durability in the products they develop. Their main objective here is to share technical knowledge and experience to insure bitumen are being used in the most effective and efficient ways for their different applications in road works.\\n\\nEcole des Ponts, France oldest engineering school, remains very much in the present, as it has always been, in training engineers in order to meet the needs of our society and citizens in key areas such as transport housing and urban services, but also in fields like energy, environment, climate sciences, land-use planning and sustainable development.\\n\\nNineteen world recognized experts on bitumen are contributing to this MOOC.\\n\\nThe idea is to provide the broadest prism on this topic area with speakers coming from research, industry and end users.","chemical-analysis; chemical-engineering; manufacturing-process-management; learning; road-construction; transportation-engineering; chemistry; specification-technical-standard; energy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.8,12.1]","French","English","physical-science-and-engineering","chemistry","f-ztYb38EeWiUQ7uWZhJhw"]
["2. Upskill","Operations Management","Operations Management: Analysis and Improvement Methods","University of Illinois at Urbana-Champaign","Advanced",21.3,4.57,"https://www.coursera.org/learn/operations-management","In this course, you will learn about the role of operations and how they are connected to other business functions in manufacturing- and service-focused organizations. You will learn and practice the use of decision-making frameworks and techniques applicable at all levels, from management-level strategic decisions such as connecting process to the needs of various customer segments, to front-line tactical decisions such as choosing between ordering larger quantities vs. ordering more frequently. \\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the role of operations management \\n•\\tRelate underlying principles to operations management frameworks and techniques\\n•\\tSynthesize information to make strategic operations decisions\\n•\\tEvaluate processes on different dimensions \\n•\\tApply analytical techniques for tactical operations decision\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see onlinemba.illinois.edu.","inventory; operations-management; process; supply-chain; chaining; trigonometric-integral; supply-chain-management; quality-control; management; six-sigma","Value Chain Management",3.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[12.5,25.7]","NA","English","business","business-strategy","schck0kuEealsQ4S5bCf-Q"]
["2. Upskill","Operations Management","Operations Management: Strategy and Quality Management for the Digital Age","University of Illinois at Urbana-Champaign","Intermediate",25.1,4.52,"https://www.coursera.org/learn/process-improvement","In this course you will focus on process improvement. You will learn how to set organizational priorities for continuous process improvement, how to execute process improvement projects, and how to sustain the initiative for continuous improvements.\\n\\nUpon successful completion of this course, you will be able to:\\n•\\tUnderstand the roles of process improvement\\n•\\tRelate underlying principles to frameworks and techniques used for process improvement\\n•\\tSynthesize information to make decisions for organizational initiatives and process improvement\\n•\\tApply analytical techniques for tactical decisions in a process improvement project\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","six-sigma; process-improvement; analysis; process-management; operations-management; statistics; lean-six-sigma; process; trigonometric-integral; management","Value Chain Management",4.0,"https://www.coursera.org/specializations/value-chain-management","The purpose of organizations is to produce and deliver goods and services of value to customers while generating a surplus for owners. Value chain management focuses on understanding what different customers value, measuring inputs and outputs to assess value, and generating higher value for customers and greater surplus for organizations.\\n\\nIn this Specialization, you will gain competencies that are critical for managers in any functional area. You will learn to create, model, analyze, and maximize value in accounting, operations, and marketing.\\n\\nThis Specialization is part of the University of Illinois iMBA Program. Each course fulfills a portion of the requirements for a University of Illinois course that can earn you college credit.\\n\\nWhen you complete the Value Chain Management Specialization, you will:\\n\\n· Understand how to apply a financial perspective of accounting for costs, understand how financial and non-financial accounting information facilitates strategic performance measurement, and integrate this information to continuously improve strategy.\\n\\n· Understand the role of operations management and process improvement, synthesize information to make decisions for organizational initiatives, and apply analytical techniques for tactical operations and process improvement decisions.\\n\\n· Understand how marketing works in the business world and how various marketing elements interact to create value for consumers and ultimately maximize value for your organization.","[11.8,31.6]","NA","English","business","business-strategy","xcnSEUkuEeaS0App9RAxLw"]
["2. Upskill","Self-Driving Cars","Introduction to Self-Driving Cars","University of Toronto","Advanced",25.4,4.67,"https://www.coursera.org/learn/intro-self-driving-cars","Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. \\n\\nThis course will introduce you to the terminology, design considerations and safety assessment of self-driving cars.  By the end of this course, you will be able to: \\n- Understand commonly used hardware used for self-driving cars\\n- Identify the main components of the self-driving software stack\\n- Program vehicle modelling and control  \\n- Analyze the safety frameworks and current industry practices for vehicle development\\n\\nFor the final project in this course, you will develop control code to navigate a self-driving car around a racetrack in the CARLA simulation environment. You will construct longitudinal and lateral dynamic models for a vehicle and create controllers that regulate speed and path tracking performance using Python. You’ll test the limits of your control design and learn the challenges inherent in driving at the limit of vehicle performance.\\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).\\n\\nYou will also need certain hardware and software specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","simulation; computer-programming; python-programming-language; systems-design; autonomous-cars; mathematical-model; null-character; algorithms; modeling; algebra","Self-Driving Cars",1.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[17.1,31.9]","Spanish","English","computer-science","software-development","p2jYHVPxEein9xItvIlMSA"]
["2. Upskill","Self-Driving Cars","State Estimation and Localization for Self-Driving Cars","University of Toronto","Intermediate",22.3,4.57,"https://www.coursera.org/learn/state-estimation-localization-self-driving-cars","Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. \\n\\nThis course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to:\\n- Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares\\n- Develop a model for typical vehicle localization sensors, including GPS and IMUs\\n- Apply extended and unscented Kalman Filters to a vehicle state estimation problem\\n- Understand LIDAR scan matching and the Iterative Closest Point algorithm \\n- Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car \\n\\nFor the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. \\n\\nThis is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws).","estimation; autonomous-cars; calibration; computer-vision; global; extended-kalman-filter; kalman-filter; global-positioning-system; python-programming-language; computer-programming","Self-Driving Cars",2.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[12.9,27.2]","NA","English","computer-science","software-development","Hb0M4lPyEeiNrg7HoBf7gA"]
["2. Upskill","Self-Driving Cars","Visual Perception for Self-Driving Cars","University of Toronto","Intermediate",19.1,4.47,"https://www.coursera.org/learn/visual-perception-self-driving-cars","Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception.  By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.  You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars.\\n\\nFor the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface.  You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset.\\n\\nThis is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses).","semantics; ransac; detection; estimation; object-detection; perception; computer-vision; image-segmentation; artificial-neural-network; opencv","Self-Driving Cars",3.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.5,27.2]","NA","English","computer-science","software-development","Pr5NLlPyEei-RQ6pitSIHg"]
["2. Upskill","Self-Driving Cars","Motion Planning for Self-Driving Cars","University of Toronto","Intermediate",17.1,4.73,"https://www.coursera.org/learn/motion-planning-self-driving-cars","Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization.\\n\\nThis course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning.   By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws.  You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times.\\n\\nFor the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection.  You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment.\\n\\nThis is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).","autonomous-cars; motion-planning; finger-protocol; computer-vision; plan; planning","Self-Driving Cars",4.0,"https://www.coursera.org/specializations/self-driving-cars","Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner.\\n\\nThis Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.\\n\\nThroughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.\\n\\nYou’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.\\n\\nIt is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).","[11.3,27.1]","NA","English","computer-science","software-development","sx-y31PyEeiuag4cjofrng"]
["2. Upskill","Smart Cities","The City and You: Find Your Best Place","University of Toronto","Beginner",17.7,4.66,"https://www.coursera.org/learn/city-and-you-find-best-place","Welcome to The City and You: Find Your Best Place. I'm excited to have you in the class and look forward to your contributions to the other learners in our community.\\n\\nThis free course will provide the knowledge and  the tools needed to understand what cities do, why they matter, the forces shaping the greatest wave of urbanization in history, and how to pick the right place for you. The course will also help you develop critical thinking skills. We'll accomplish this by providing evidence of the importance of cities, and why and how they matter to you. Then we’ll ask you to apply what you’ve learned in an exercise which will help you assess your own community and find your best place.\\n\\n This course is accessible and open to anyone who is interested in learning more about cities and the ways they affect our lives. It is organized around five key modules: (1) Why Cities Matter,  (2) A World of Cities,  (3) The Creative City, (4) The Divided City and the New Urban Crisis, and (5) How to Find the Best Place for You.\\n\\n After completing the course, you will be able to:\\n\\n\\n(1) Identify why cities are the drivers of economic prosperity;\\n(2) Explain the drivers and implications of fast-growing urbanization worldwide;\\n(3) Outline the key characteristics of a creative and innovative city;\\n(4) Describe the social divides and challenges facing cities and the solutions cities are using to address them; and\\n(5) Recognize the trade-offs of staying in your current city versus moving, and identify the best place for you and your family to live.\\n\\nGood luck as you get started, and I hope you enjoy the course!","critical-thinking; time-management; city-planning; urban-planning; data-clustering-algorithms; planning; learning; analysis; device-file; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.9,25.2]","NA","English","social-sciences","governance-and-society","GHhkynNMEeWKsgrp3VnvAw"]
["2. Upskill","Smart Cities","Cities are back in town : urban sociology for a globalizing urban world","Sciences Po","Beginner",17.3,4.44,"https://www.coursera.org/learn/urban-development","Urbanization is reaching a new peak in the contemporary world with the rise of mega cities. Researchers try to make sense of these large urban areas using a variety of concepts. The class will review debates and present social science models of cities to analyse and compare contemporary developments.\\n\\nGeneral Overview Help Center\\n\\nUrbanization is reaching a new peak in the contemporary world with the rise of mega cities. Researchers try to make sense of these large urban areas using a variety of concepts. The class will review debates and present social science models of cities to analyse and compare contemporary developments.\\nGlobalization, Europeanization processes support the rapid developments of cities in different part of the world. Urbanization is reaching a new high in the contemporary world with the rise of mega cities (beyond 15 million inhabitants) such as Calcutta, Los Angeles, Dhaka, Cairo, Tokyo, New York, Shanghai, Mexico or Seoul. Beyond the modern metropolis, researchers try to make sense of these large urban areas using a variety of concepts such as the ‘postmetropolis’, ‘global cities’, and ‘global city-regions’. The class will review debates and present social science models of cities and metropolis to analyse and compare contemporary developments. How can do we study those cities when they become mega urban regions, does size matter and for what? Do we see the making of a vast urban world or by contrast beyond the apparent convergence of complex globalisation processes understood in relation to globalised capitalism, is it possible to identify masked differentiations and the strengthening of different urban worlds? How do we make sense of this urban world when cities are not independent units but have to be understood both in terms of territories, rootedness, and at the same time in terms of relations to take into account flux, mobility, circulations ? What is the relevance of social science concepts developed in the Western world to analyse the transformation of Lagos? To what extent may the systematic development of new forms of comparison between northern cities and cities from the South change social sciences and contribute to overcome the bias towards national comparison? \\nFor the time being, given current conditions of capitalism, political, economic, cultural and social questions are increasingly becoming urban questions. In the modern conception of the world/globalcity, characterised by size, the aggregation of housing, differentiated divisions of labour, and the density of interaction, several conceptions of cities exist which have become entangled and sometimes opposed to each other. These different conceptions underline different processes of integration: the material city of walls, squares, houses, roads, light, utilities, buildings, waste, and physical infrastructure; the cultural city in terms of imaginations, differences, representations, ideas, symbols, arts, texts, senses, religion, and aesthetics; the politics and policies of the city in terms of domination, power, government, mobilisation, public policies, welfare, education; the social city of riots, ethnic, economic and gender inequalities, everyday life and social movements; and the economy of the city : the division of labour, scale, production, consumption, trade.....\\nClassic urban questions about inequalities, housing, government, integration, are combined with issues about the urban fabric, questions of mobility and rootedness, sustainable development and risks, the making of the cyborg cities, questions of social control and riots, urban culture, innovation and urban economic development.\\n\\nAll video produced by Sciences Po for this Mooc are under Creative Commons (BY / NC / SA)\\n\\nRecommended Background\\nThe course is designed for undergraduates but it also will interest graduates and professionals concerned in urban issues.\\n\\nThe course is organized in 8 sequences and displays multimedia contents (images, video, original documents). There will be also assignments that consist in participating to discussions related to theoretical models presented in the course based on case studies of your choice, and peer assessments on your contributions.\\n\\nSyllabus :\\n\\nWeek #1 : Introduction, definition, urban questions and the use of models\\n\\nWeek #2 : European cities and the weberian model of integration\\n\\nWeek #3 : Colonial and post colonial cities\\n\\nWeek #4 : Industrial cities (and Socialist cities) and Marxist models\\n\\nWeek #5 : The American metropolis and the Chicago School, \\n\\nWeek #6 : Post metropolis, fragments and differences\\n\\nWeek #7 : Global cities and mega cities\\n\\nWeek #8 : Smart cities and the sociology of science and technology","search-engine-optimization; urban-planning; sustainable-transport; circular-economy; gender-inequality; smart-city; economic-development; sociology; india","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11,21.2]","Spanish","English","social-sciences","governance-and-society","QKuGrOVSEeWqgA7hWaP3zw"]
["2. Upskill","Smart Cities","Management of Urban Infrastructures – part 1","École Polytechnique Fédérale de Lausanne","Beginner",15.0,4.66,"https://www.coursera.org/learn/managing-urban-infrastructures-1","Sustainability, Resilience and Efficiency are fundamental considerations for city managers in managing urban infrastructures. Today, more than 3.9 billion people, making up more than 54% of the global population, live in cities. Urbanization is expected to continue in the coming years, raising the urban population to 6.0 billion by 2045. This dramatic increase in urban populations will inevitably increase the demand for energy, mobility (transportation), water, and other urban services in every city around the world. Without functional governance and management structures that ensure efficient, resilient and sustainable performance in cities, the current urbanization growth might become a catastrophic risk threatening the quality of life of the humanity.\\n\\nSustainable development in 21st century can only be realized by introducing innovations in both management and operations of urban infrastructures systems. Developing management practices that effectively integrates the processes of urban planning with urban infrastructures planning and management is a challenging goal that many cities are struggling with  nowadays, but is a must for transforming cities to sustainable and resilient engines of growth in both developing and developed economies. \\nThis course will provide you with the basic principles of urban infrastructure management that are fundamental for building prosperous cities that are sustainable, resilient and efficient. \\n\\nIn order to obtain a certificate for this course, the participants have to pass four graded quizzes and complete four mandatory assignments, plus a final exam. In addition to the graded assignments students have the option to write a 7-10 page peer-reviewed case study about management of energy OR transportation system in their city (on your own choice). \\nThe best case studies will be also evaluated by our jury at IGLUS and the authors of the 3 best case studies will win a full tuition fee waiver scholarship to enroll in the IGLUS professional training program in Spring 2017. \\n\\nYou can also pre-enroll in our upcoming MOOC on Smart Cities now. Find our more here:\\nhttp://iglus.org/smart-cities-mooc/","planning; smart-city; project; plan; project-management; management; transporting; learning; city-management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.6,18.8]","Persian; French","English","business","leadership-and-management","FOGKYF0gEeWK1woL5P9cGQ"]
["2. Upskill","Smart Cities","Digital transformation of megapolises: from zero to #1 in UN digital e-government ranking","National Research University Higher School of Economics","Beginner",21.9,"NA","https://www.coursera.org/learn/digital-transformation-of-megapolises","This course will help you to navigate ambiguity in definitions of \"Smart City\". You can review successful cases and practices of different approaches to transformation management, determine the potential of your city in the digital transformation, as well as find useful practical advices on search for funding of various digital projects in your city. In addition, lecturers introduce you with formation of Smart City structure and infrastructure from the officials’ point of view.\\n\\nIf you are already an expert in the field of Smart Cities, the course will give you the opportunity to assess your strengths and to improve knowledge in this field. You will gain additional skills in managing digital transformation programs with real examples, as well as you will be acquainted with communication methods and marketing of government projects.","NA","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.5,26.1]","NA","English","business","leadership-and-management","gIpP2Tz6Eeq4qg6JXlpbxw"]
["2. Upskill","Supply Chain Finance","Introduction to Supply Chain Finance & Blockchain Technology","New York Institute of Finance","Advanced",18.2,4.65,"https://www.coursera.org/learn/introduction-supply-chain-finance-blockchain-technology","What is Supply Chain Finance? How does Blockchain apply? In this course, you’ll learn about an emerging set of solutions within trade finance implemented by financial institutions, leading corporate buyers and their trading partners all over the world known as Supply Chain Finance. You’ll learn about the key enablers in Supply Chain Finance and recognize the key challenges in the current market that are responsible for the growing interest in Supply Chain Finance. You’ll cover the concept, attributes, and metrics of working capital in great detail and review the four main products and solutions in Supply Chain Finance. The course will wrap up with a brief introduction to Blockchain and the basic concepts of Blockchain Technology. By the end of this course, you’ll have learned about the options to enter into the Supply Chain Finance market and how to identify the best solutions for your organization. There is no prerequisite knowledge required to participate in this course, but general business and financial acumen are helpful in understanding the full details of Supply Chain Finance solutions.","swift-programming-language; trade-finance; blockchains; chaining; supply-chain-management; working-capital; supply-chain; finance; management","Supply Chain Finance and Blockchain Technology",1.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[5.4,32.6]","NA","English","business","business-strategy","VcYd4wkzEemWlgor9WERxA"]
["2. Upskill","Supply Chain Finance","Key Success Factors in Supply Chain Finance","New York Institute of Finance","Intermediate",32.7,4.56,"https://www.coursera.org/learn/key-success-factors-supply-chain-finance","Implement and manage a successful financing program for a corporate buying organization by learning about the key success factors in Supply Chain Finance. In this course, you'll learn about the challenges and bottlenecks in Supply Chain Finance and understand their impact on Supply Chain Finance programs. This course will help you understand who the ideal customer is for a Supply Chain Finance program and understand how revenue is generated and such programs are priced. You'll learn about the relevant factors for suppliers to come onboard and trade as well as identify the key roles and responsibilities involved in Supply Chain Finance.\\n\\nAdditionally, this course will explain how to develop metrics and list the necessary elements for developing an effective financing program. By the end of this course, you’ll be able to perform a pre-sales analysis and a detailed supplier analysis, which are crucial for setting up a Supply Chain Finance program.","supply-chain; blockchains; supply-chain-analytics; swift-programming-language","Supply Chain Finance and Blockchain Technology",2.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[11.7,52.4]","NA","English","business","finance","ZGLe-go7EemaoQ6n9kv2xA"]
["2. Upskill","Supply Chain Finance","Supply Chain Finance Market and Fintech Ecosystem","New York Institute of Finance","Intermediate",10.6,4.45,"https://www.coursera.org/learn/supply-chain-finance-market-fintech-ecosystem","This course provides an in-depth understanding of the Supply Chain Finance market including insights on the potential and current market size, market penetration, growth, and distribution. You’ll be introduced to the four distinctive groups serving the Supply Chain Finance market and learn about the main stakeholders and market participants in a Supply Chain Finance program. By the end of the course, you’ll have reviewed the key trends and upcoming risks affecting Supply Chain Finance and gained a deeper understanding of the key challenges in the market amongst corporate clients, banks, non-bank financiers and technology service providers.","economics; blockchains; financial-technology; supply-chain; ecosystem; swift-programming-language","Supply Chain Finance and Blockchain Technology",3.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[4.5,17.2]","NA","English","business","finance","gxAcAAo7Eemr6Q4Noor3UA"]
["2. Upskill","Supply Chain Finance","Future Development in Supply Chain Finance and Blockchain Technology","New York Institute of Finance","Intermediate",5.0,4.46,"https://www.coursera.org/learn/future-developments-supply-chain-finance-blockchain-technology","This course focuses on future developments in Supply Chain Finance such as Artificial Intelligence (AI) and Application Programming Interfaces (APIs). This course covers the basic concepts of Distributed Ledger Technology (DLT), the key features as well as the benefits the solution represents for Supply Chain Finance. \\n\\nThis course concludes with an understanding of the applicability of Blockchain Technologies and how they impact Supply Chain Finance.","scaling; supply-chain; swift-programming-language; chaining; blockchains","Supply Chain Finance and Blockchain Technology",4.0,"https://www.coursera.org/specializations/supply-chain-finance-and-blockchain-technology","New York Institute of Finance’s Supply Chain Finance and Blockchain Technology Specialization focuses on an emerging set of solutions within trade finance, which are being implemented by thousands of financial institutions, leading corporate buyers and their trading partners from around the world.\\n\\nThis 4-course Specialization will describe in detail the evolution of traditional trade finance and the shift to supply chain finance, delving into the key elements, available options from which solutions are implemented, and an in-depth view on the success factors. Given that Supply Chain Finance is still evolving, this Specialization focuses on the main challenges, trends and technology developments in the market (such as Blockchain Technology) and provides an insight into the future of supply chain finance in the broader context. When you complete the Specialization, you will gain the knowledge and skills to assess and identify Supply Chain Finance opportunities for a corporate buying organization.","[2.2,7.8]","NA","English","business","finance","p7Ql1go7EemaoQ6n9kv2xA"]
["2. Upskill","Supply Chain Management","Supply Chain Management: A Learning Perspective","Korea Advanced Institute of Science and Technology(KAIST)","Intermediate",21.7,4.61,"https://www.coursera.org/learn/supply-chain-management","As a human being, we all consume products and/or services all the time. This morning you got up and ate your breakfast, e.g., eggs, milk, bread, fresh fruits, and the like. After the breakfast, you drove your car to work or school. At your office, you used your computer, perhaps equipped with 27” LCD monitor. During your break, you drank a cup of coffee and played with your iPhone. So on and so forth. You probably take it for granted that you can enjoy all of these products. But if you take a closer look at how each of these products can be made and eventually delivered to you, you will realize that each one of these is no short of miracle. For example, which fruit do you like? Consider fresh strawberries. In order for the strawberries to be on your breakfast table, there must be numerous functions, activities, transactions, and people involved in planting, cultivating, delivering, and consuming strawberries. Moreover, all of these functions, activities, transactions, and people are connected as an integral chain, through which physical products like strawberries themselves and virtual elements such as information and communication flow back and forth constantly. By grouping related functions or activities, we have a supply chain, comprised of four primary functions such as supplier, manufacturer, distributor, and finally consumer. A supply chain is essentially a value chain. \\n\\nFor the society or economy as a whole, the goal is to maximize value, i.e., to create satisfactory value without spending too much. In order to create the maximum value for the strawberry supply chain, every participant in the chain must carry out its function efficiently. In addition, all of the members must coordinate with each other effectively in order to ensure value maximization. We have to face the same issues for almost all the products and services we take for granted in our everyday life, e.g., cars, hamburgers, haircuts, surgeries, movies, banks, restaurants, and you name it! \\n\\nIn this course, we want to understand fundamental principles of value creation for the consumers or the market. We try to answer questions like how the product or service is made, how the value-creating activities or functions are coordinated, who should play what leadership roles in realizing all these, and so on. As our course title hints, we approach all of these issues from a learning perspective, which is dynamic in nature and emphasizes long-term capability building rather than short-term symptomatic problem solving.","supply-chain; product-business; value-chain; inventory; process; supply-chain-management; chaining; supply-chain-risk-management; product-development; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.8,23.4]","NA","English","business","business-strategy","-1YwAnTLEeSjmyIAC0aXFg"]
["2. Upskill","Supply Chain Management","Supply Chain Analytics","Rutgers the State University of New Jersey","Beginner",7.4,4.72,"https://www.coursera.org/learn/supply-chain-analytics","Welcome to Supply Chain Analytics - the art and science of applying data analytics to assess and improve supply chain performance!\\n\\nA supply chain is a complex system with conflicting objectives of cost efficiency and customer satisfaction. Supply chain management is becoming increasingly data driven. Through the real-life story and data of a major US telecommunication company, you will learn the analytics tools / skills to diagnose and optimize a supply chain. Upon completion of this course, you will be able to\\n\\n1. Use data analytics to assess the impact of various strategies on all aspects of a supply chain, from inventory, shipping, to warehouse order fulfillment, store operations and customer satisfaction. \\n2. Customize the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service. \\n3. Obtain hands-on experience on the application and financial impact of analytics in integrated supply chain and logistics planning.\\n\\nVASTA (name disguised) is a major wireless carrier in the US selling cell phones through a national network of retail stores. Recently, it wrote off a huge amount of obsolete inventory each year and was suffering a significant cost inefficiency in an increasingly stagnant market. VASTA must assess the competitive environment, and renovate its supply chain to stay competitive. At the end of this course, you will help VASTA save $billions on supply chain cost and retain its leadership in a stagnant and saturated market.\\n\\nI hope you enjoy the course!","plan; planning; supply-chain-analytics; supply-chain-management; inventory; chaining; analytics; supply-chain; supply-chain-planning; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.3,9.8]","NA","English","business","business-essentials","jdACZjPZEem9Dgr58Fwmmg"]
["2. Upskill","Supply Chain Management","Supply Chain Analytics Essentials","Rutgers the State University of New Jersey","Intermediate",22.6,4.62,"https://www.coursera.org/learn/supply-chain-analytics-essentials","Welcome to Supply Chain Analytics - an exciting and emerging area that is in high demand! \\n\\nIn this introductory course to Supply Chain Analytics, I will take you on a journey to this fascinating area of Supply chain analytics where supply chain management meets data analytics. You will learn real life stories and examples on how analytics can apply to various domains of a supply chain, from sell, to move, make and source, to generate a significant social and / or economic impact. You will also learn about job market trend, job requirement and preparation. Lastly, you will master a data analysis technique to assess the efficiency of a supply chain. Supply Chain Analytics is a relatively new and fast developing area. Thus this course is by no mean exhaustive nor should you expect to be an expert upon completion. My goal of this course is to open the eyes of the learners to the impact of Supply Chain Analytics, and hopefully this will encourage you to learn more.\\n\\nUpon completing this course, you will\\n\\n1. Understand why analytics is critical to today’s supply chains\\n2. See the pain points of a supply chain and how analytics can be applied to address them\\n3. Understand the requirement of supply chain analytics jobs, and how to prepare for them\\n4. Assess a company’s overall supply chain efficiency quantitatively\\n\\nI hope you enjoy the course!","cash-conversion-cycle; procurement; demand; supply-chain-analytics; chaining; analytics; supply-chain; supply-chain-management; lambda-calculus; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.9,38.3]","NA","English","business","business-essentials","mVWg308AEeirJwpxYInHrA"]
["2. Upskill","Supply Chain Management","Supply chain management: Be global","Macquarie University","Advanced",18.1,4.71,"https://www.coursera.org/learn/supply-chain-management-global","Businesses and their supply chains are facing increasing competition and uncertainty in what is now a truly globalised trade environment. To remain competitive, organisations need to think globally – ensuring supply chains meet customer demands while minimising costs and maximising responsiveness. From a strategic perspective, this involves making important trade-off decisions between cost, quality and flexibility of supply chains. Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) this course will equip you with the future-focused capabilities needed to design and manage effective, sustainable and efficient global supply chains of tomorrow.","management; global-supply-chain-management; supply-chain-management; sustainability; supply-chain; global; chaining; market-economics; principle; risk","Strategising: Management for Global Competitive Advantage",1.0,"https://www.coursera.org/specializations/strategic-management-competitive-advantage","Leaders must have the ability to develop and deploy effective strategies. This specialisation will prepare you to be the strategic change-maker capable of enabling your organisation to compete into the future. You will learn: how to think strategically to make your organisation more competitive (Be Competitive); how crucial it now is for supply chains to effectively meet customer demands (Be Global); how to leverage technology and innovation to disrupt and reshape your organisation (Be Disruptive); and how to make a positive contribution to the world while effectively maintaining the bottom line (Be Sustainable).","[9.6,23.9]","NA","English","business","business-strategy","Cryjy28DEeis-grgLlL-jg"]
["2. Upskill","Supply Chain Management","Supply Chain Planning","Rutgers the State University of New Jersey","Beginner",12.6,4.63,"https://www.coursera.org/learn/planning","Have you ever wondered how companies know how much to produce in advance so that they do not make too much or too little? Matching supply and demand requires planning. This course introduces you to the exciting area of supply chain planning. Part of a broader specialization on Supply Chain Management, you will master different forecasting techniques, essential for building a Sales and Operations Plan. At the completion of this course you will have the tools and techniques to analyze demand data, construct different forecasting techniques, and choose the most suitable one for projecting future demand.","supply-chain; planning; chaining; demand-forecasting; demand; microsoft-excel; supply-chain-planning; operations-management; forecasting; demand-planning","Supply Chain Management",3.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[8,17.9]","Greek","English","business","business-strategy","NbrGjQi-EeajCxI_63r-IQ"]
["2. Upskill","Supply Chain Management","Supply Chain Sourcing","Rutgers the State University of New Jersey","Beginner",10.6,4.64,"https://www.coursera.org/learn/sourcing","Have you ever wondered how companies manage relationships with their thousands of suppliers? Sourcing is an important part of managing a successful supply chain. This course introduces you to the exciting area of supply chain sourcing. Part of a broader specialization on Supply Chain Management, you will master the supplier selection process and supplier segmentation. At the completion of this course you will have the tools and techniques to find the right vendors and maintain the right relationship with any one of your existing suppliers.","chaining; strategic-sourcing; supplier-evaluation; sources; best-practice; sourcing-best-practices; supply-chain; supply-chain-sourcing; evaluation; management","Supply Chain Management",4.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[6.7,12.8]","NA","English","business","business-strategy","U4ljqwi-EeaKMxIJoYbSpQ"]
["2. Upskill","Supply Chain Management","Supply Chain Management Strategy","Rutgers the State University of New Jersey","Intermediate",16.5,4.73,"https://www.coursera.org/learn/supply-chain-management-strategy","Have you ever wondered what it takes to manage a successful supply chain? It all comes down to the right strategy. Supply Chain Management Strategy is the indispensable direction for managing a successful supply chain. This course is the capstone of the Supply Chain Management specialization. While, it is strongly recommended that you take all courses in this specialization, you do not have to if you believe you already have those skills. You will use the tools acquired in the previous four courses to create a supply chain management strategy in a real-life case scenario. At the completion of this course you will have shown mastery of the tools and techniques to successfully manage a complex network of companies that we call the supply chain.","supply-chain-management; supply-chain-sourcing; chaining; planning; sources; supply-chain-strategy; risk; supply-chain; supply-chain-risk-management; management","Supply Chain Management",5.0,"https://www.coursera.org/specializations/supply-chain-management","This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.\\n\\nThe Specialization is for you, if: 1. you're looking to start a career in Supply Chain Management, but lack the basic background; 2. you're working with people in Supply Chain Management and want to understand their daily challenges better; 3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.\\n\\nThe Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy you'll solve a real-life business case.\\n\\nInterested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.","[10.4,20.9]","Vietnamese","English","business","business-strategy","_yBsbgzOEeaX4g6xdats6w"]
["2. Upskill","Transport Networks","Cross-border road transport in EU law context","Erasmus University Rotterdam","Advanced",15.0,5.0,"https://www.coursera.org/learn/transport-eu-law","Have you ever wondered which legal rules are applicable to cross-border EU road transport? Are you interested in the issues revolving around EU employment law in the international road transport sector? Then, on behalf of the University of Antwerp, Erasmus University Rotterdam, University of Gdańsk, University of Luxembourg and Tilburg University, we would like to welcome you to this MOOC on Cross-border Road Transport in EU law context. This MOOC is a part of the Erasmus + Project funded by the European Commission. In this MOOC, you will not only learn what the current legal framework is, but also, how it is applied in the road transport sector.\\n\\nAfter participating in this MOOC, you will be able to: \\n\\n1. Describe the basics of the process of European integration, in the light of the affirmation of the four fundamental freedoms \\nof the EU, European framework on private international law, the posting of workers, social security coordination and social dialogue.\\n2. Understand the interplay between Treaty provisions and secondary sources in the relevant fields.\\n3. Understand the frictions between the rationales underneath the legal provisions that govern EU social policy and labour law.\\n4. Analyse the most relevant case law of the European Court of Justice with an impact on the rights of international road transport workers.\\n5. Familiarise with official documents of the EU institutions and with academic and other relevant literature in this field.\\n6. Use, where relevant, the implementation of EU rules by Member States.\\n7. Solve cases dealing with the implementation of the applicable legal provisions.\\n\\nWe are offering you knowledge clips, memoranda that contain in-depth legal information on the different key topics, recommended readings and case law. Next to that after each module, you could test your acquired knowledge by taking a multiple choice test. In the end of this course, you will be able to apply everything you have learned in a practical manner by solving our sample guide case that resembles a real life scenario which challenges you to deal with everyday's problems faced in the cross-border road transport by practitioners in the field. \\n\\nBy participating in this MOOC, you will find answers to the following questions:\\n\\n1. Which of the four fundamental freedoms is applicable?\\n2. Which court has jurisdiction over a labour dispute and which law governs the cross-border employment relation?\\n3. How to apply and enforce the rules stemming from the Posting of Workers Directive?  \\n4. Which social security system is applicable and which social security institution is competent to levy the social security contributions? \\n5. What is the role of social partners in the cross-border road transport?\\n\\nIn the end it all makes SENSE! So let's go down this road together. Buckle up!","lux; international-law; justice; law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,21]","NA","English","social-sciences","law","zo70rNAiEee8ow4eUb1zXA"]
["2. Upskill","Transport Networks","Air Pollution – a Global Threat to our Health","University of Copenhagen","Beginner",7.2,4.73,"https://www.coursera.org/learn/air-pollution-health-threat","We all have to breathe to live. But the air we breathe is polluted both outdoors and indoors. Each year, this pollution costs 7 million lives across the globe – and a lot of suffering. 1 in 8 deaths is due to air pollution. This course will provide you with an introduction to the most recent research in the field of health effects of air pollution as well as a broader understanding of sources and spread of air pollution and what we should do about it.\\n \\nWhat is air pollution? What are the sources? How and where are we exposed outdoors and indoors? What happens in the body? Which diseases are the result? Who are the most vulnerable? How can we assess the effects of air pollution? And what should we do to reach the Sustainable Development Goal to “substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution”? These are some of the important questions we will address in the course.\\n\\nDuring the course you will meet researchers and experts from the University of Copenhagen and the Technical University of Denmark. They work with different aspects of air pollution and health: toxicology, exposure assessment, epidemiology, engineering and health impact assessment. It is a global responsibility to combat the health impacts of air pollution, and this fight can only be won through new knowledge and global collaboration. \\n\\nWe hope you will join us in the course and equip yourself to take part in this global and individual health challenge.","air-pollution-control; pollution-control; awareness; sources; adobe-air; health-effect; causality; pollution; null-character; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.8,9.2]","Portuguese; German","English","life-sciences","public-health","tudrlqdjEeellg6wyPI6Pg"]
["2. Upskill","Transport Networks","Electric Vehicles and Mobility","École des Ponts ParisTech","Beginner",21.3,4.57,"https://www.coursera.org/learn/electric-vehicles-mobility","The purpose of Electric Vehicles and Mobility is to help you, whatever your profile, your training or your country, find your own answers to questions such as:\\n- Will electric vehicles be the last to be allowed in megalopolises in the 21st century?\\n- Does the environmental gain from vehicle electrification justify heavy investment in charging infrastructure?\\n- Are electric vehicles only for wealthy people in developed countries?\\n\\nThis course will allow you to acquire elements from engineering science, sociology, environmental science, political science, economics, management science, in order to evaluate, analyze and implement the diffusion of electric vehicles where their use is relevant.\\n\\nThis MOOC is the English version of Mobilités et véhicules électriques; in the lecture videos, the teachers speak in French, nevertheless their presentation is in English and English subtitles are available.\\n\\nGroupe Renault and ParisTech schools have been working together for almost 15 years on topics related to sustainable mobility. Together, they created two Master programs (Transport and Sustainable Development in 2004, Mobility and Electric Vehicles in 2010) and the Sustainable Mobility Institute Renault-ParisTech in 2009, to support ongoing changes. Electric Vehicles and Mobility is the result of this shared history and was developed from a course delivered within the Master Mobility and Electric Vehicles, led by Arts et Métiers ParisTech in partnership with Ensta ParisTech, Mines ParisTech and École des Ponts ParisTech.","planning; energy-supply; supply-chain; greenhouse-gas; electric-vehicles; energy-products; urban-planning; product-business; integration-testing; energy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.5,31.5]","English","French","physical-science-and-engineering","environmental-science-and-sustainability","DTeC_86VEeeTjRLCdAWzeg"]

{"sheet":"10. RC","index":16,"n_rows":40,"n_cols":20,"rows_kept":40,"cut":false,"hidden":false,"merged":[]}
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["Retail & Consumer","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
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["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Brand Management","Brand and Product Management","IE Business School","Beginner",13.1,4.64,"https://www.coursera.org/learn/brand-management","Identify the critical information needed to develop a product and brand strategy that generates both quick-wins and long-term value. By completing this course, you will be in position to create an activity plan to bring your brand strategy to life - both externally towards consumers and internally to employees.  You will be able to define the right metrics for determining success in the implementation of your product and brand strategy, considering any adjustments that may need to be made under a test and learn methodology.\\n\\nLuis Rodriguez Baptista - a professor at IE University and Marekting Consultant - will guide you through six modules that look at first understanding the challenge of managing products through their 'life-cycle' and culminates with learning how to equip your employees with knowledge of how to deliver on your brand promise.  The course features interviews with consumer and industry professionals, which help illustrate the importance of brand strategy. \\n\\nBrand and product management is a unique course which enables you to first understand the importance of brand and product management and then use brand development, architecture and portfolios, in order to achieve success.","brand-architecture; brand-engagement; marketing; product-management; architecture; brand-management; brand; product-business; product; management","Marketing Mix Implementation",1.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[7.3,17.5]","Mongolian; Korean; Chinese; Vietnamese","English","business","marketing","jcbwGG00EeW9CAqYJHF3zQ"]
["1. Literacy","Channel Management","Channel Management and Retailing","IE Business School","Beginner",8.5,4.35,"https://www.coursera.org/learn/channel-management","Understand how channel management and retailing can improve performance in your business.  Nowadays, a distribution strategy is part of the DNA of many companies and a correct channel management is key for the success of your product. Distribution plans need to be prepared for the long run, combining the following main areas:  company profile, portfolio structure and price positioning, go-to-market policy, trade and retail marketing, e-commerce and global retail management. \\n\\nIn the last decade, there have been two main revolutions that have affected industries, increasing the importance of Distribution Channel Management  Profesor Maria Teresa Aranzabal guides you through: The IT revolution: considering developments in CRM, supply chain, planning tools, merchandise and reallocation systems, amongst others; and the retail focus: how a clear retail strategy can be a differentiator for companies and a strong weapon of competitiveness. \\n\\nIn this course you will learn how to stay up-to-date on how companies are adding these aspects to their main strategic guidelines and making them key points in their managerial decision-making process.  We use interviews with industry experts and give real-life examples of how to ensure your business makes the most of this vital area of marketing.","trade-marketing; channel-management; channel-development; retail-management; marketing; supply-chain; retailing; market-economics; trading; management","Marketing Mix Implementation",3.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.3,10.7]","Korean","English","business","marketing","7t9y531dEeWKYwric11Hpw"]
["1. Literacy","Consumer Behaviour","Market Research and Consumer Behavior","IE Business School","Beginner",7.9,4.22,"https://www.coursera.org/learn/market-research","Your marketing quest begins here! The first course in this specialization lays the neccessary groundwork for an overall successful marketing strategy. It is separated into two sections: Market Research and Consumer Behavior.\\nGain the tools and techniques to translate a decision problem into a research question in the Market Research module. Learn how to design a research plan, analyze the data gathered and accurately interpret and communicate survey reports, translating the results into practical recommendations.\\n\\nYou will then focus in on the consumer decision-making process, highlighting the key moments from identifying a need to buying and consuming a product. Adopt a true “consumer focus” in your managerial decisions by analyzing how consumers make decisions, what happens (in their hearts and minds) at different stages of the decision making process, and the variables that influence those decisions.\\n\\nThis course will equip you with the knowledge required to understand the state of your product before approaching the market strategy. There’s no better place to build the foundations of your marketing journey!","market-economics; process; marketing-research-mix; consumer-behaviour; marketing-research; marketing; analysis; data-analysis; marketing-strategy; market-research","Marketing Strategy",1.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[4.1,9.6]","NA","English","business","marketing","zUFl3XEiEeWKsgrp3VnvAw"]
["1. Literacy","Fashion","Sustainable Fashion","Copenhagen Business School","Beginner",14.1,4.93,"https://www.coursera.org/learn/sustainable-fashion","Sometimes when we say we work with sustainable fashion people look at us like... \"Mmmm, is it really possible for something like fashion to be sustainable?\" And let's face it, people are right being suspicious. If anything the fashion industry has become increasingly unsustainable over the last decades, using more and more natural resources and creating more and more waste. \\n\\nIn this course, we provide an overview of business model theory and discuss business models as essential tools in the transformation towards more sustainable businesses. Throughout the course, we will use business model theory as a foundation to look at how real-world fashion brands are adopting more sustainable ways of doing business. We will provide you with rich opportunity to examine their efforts and consider strategies for your own organisation. Hopefully, you can also enlighten us with some local examples in your own countries for us to discover together new ways of dealing with sustainability. \\n\\nBy the end of the course you have an understanding of the overall challenges and potential solutions for businesses to become more sustainable. You will learn about the challenges and opportunities of implementing circular business models and we will introduce various tools that companies use to measure and report about sustainability. You will be able to think about business model theory in new ways and apply strategies to manage business model innovation towards sustainable practices. \\n\\nThis is a very exciting time to be working in the fashion industry, so let's get started!","sustainable-design; sustainability; business-model; sustainable-business; corporate-sustainability; healing; sustainable-transport; modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.6,16.5]","NA","English","business","business-strategy","eJsjO9QaEea6Sg5NuXr4gg"]
["1. Literacy","International Marketing","Intro to International Marketing","Yonsei University","Beginner",7.9,4.63,"https://www.coursera.org/learn/intro-international-marketing","About this Course\\n\\nThis course brings together two key subjects, International Marketing and Cross Industry Innovation. It will provide the basic foundations of international marketing and then explain how companies can grow by going abroad or sourcing ideas/expanding into other countries or industries. This is summarized as CCCI: Cross-Country and Cross-Industry Innovation, a term and analytical platform used throughout not only this course but others in the specialization. As an introductory course, we keep the concepts short and simple in order to ease learners into the wonderful world of international marketing. More specific operational aspects such as managing the product, price, place and promotion as well as targeting and positioning will be provided in the second course of the specialization. \\n\\nAfter you successfully complete this course learners will obtain the following outcomes:\\n\\n(1) an understanding of the core meaning of marketing and international marketing. \\n(2) learn that international marketing is about striking the right balance between maximizing the similarities across cultures (Etic approach) and customizing marketing (Emic approach) to important local differences.\\n(3) learn about how to source or expand into other industries at home or abroad via cross industry innovation.\\n(4) obtain a solid foundation for subsequent courses such as course 2 (International Marketing Entry and Execution) and the industry-specific courses in the specialization.","brand; global; brand-management; global-marketing; market-economics; marketing-strategy; cobra-administration; international-finance; marketing; management","International Marketing & Cross Industry Growth",1.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[3.5,10.2]","Chinese; Portuguese; Spanish","English","business","marketing","7pzdAYE3EeWb1w5ZMj87pw"]
["1. Literacy","Marketing Fundamentals","Marketing Mix Fundamentals","IE Business School","Intermediate",11.3,4.5,"https://www.coursera.org/learn/marketing-mix","Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service.\\n\\nThe Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices.  Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.\\n\\nIE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals.  After this course you will be ready to decide where and how you want to market your product.","marketing; pricing-strategies; marketing-mix; product-business; product-strategy; communication; marketing-communications; market-economics; pricing; product","Marketing Strategy",3.0,"https://www.coursera.org/specializations/marketing-strategy","Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start?\\n\\nCover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan.\\n\\nIn the final capstone project you will develop a Marketing Plan for a product or service.","[6.3,14.8]","NA","English","business","marketing","bMcEw3HwEeWIfhKr_WcYsQ"]
["1. Literacy","Pricing","Pricing Strategy","IE Business School","Beginner",11.9,4.59,"https://www.coursera.org/learn/pricing-strategy","Pricing is one of the most important but least understood marketing decisions. Learn and practice concepts, techniques, and get to grips with the latest thinking on assessing and formulating pricing strategies. Analyze how firms attempt to capture value, as well as profits, in the revenues they earn. \\n\\nAfter this course, you will be able to contribute to the process of formulating pricing strategies for your own products and services, or those of your firm. This course has an additional focus on pricing dynamics and the reaction to and by competitors, taking a highly pragmatic approach and one that is directly applicable to your day-to-day professional life.\\n\\nMartin Boehm - IE Professor and Dean of the Business School with over 10 years experience - will guide you through four modules.  We begin with the importance of pricing and how it ultimately can affect the bottom line.  Then, we move on to methods to help you decide what is the optimal price for your product; and then price discrimination - should all your products follow the same pricing strategy or should you differentiate depending on the customer segment?  Finally, we look at pricing psychology and how you can manipulate customers in order to drive the highest possible price for your product.","pricing; sales; pricing-strategies; consumer-behaviour; price-elasticity-of-demand; price-discrimination; psychologies; discrimination; psychology; management","Marketing Mix Implementation",2.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[6.9,15]","NA","English","business","marketing","Zx7vV31ZEeWKYwric11Hpw"]
["1. Literacy","Sales","Effective Sales – An Overview","Fundação Instituto de Administração","Beginner",21.9,4.6,"https://www.coursera.org/learn/effective-sales-overview","Welcome to Strategic Sales Management specialization.\\nThis specialization course focus on providing conceptual and practical guidance on sales planning and management.\\nThe development of the specialization goes through the different phases of the sales planning process, keeping attention on the connection to the strategy of the company.\\nConcepts discussed in this specialization aim to support the analyses on how to plan sales in alignment with the strategic guidelines of the company. The sales functions are discussed with models and frameworks that support the planning process, which includes assumptions regarding the strategic guidelines, such as aggregate revenue targets, company’s earnings, and expected cash flow from the company’s operations. These variables are all related to the strategy of the company.\\nThe target audience of this specialization include professionals with some experience in sales, they might have been promoted to a managing position recently, or they have plans to improve their expertise in the sales area to apply to more challenging positions in the future.\\nPrerequisite for this specialization is general knowledge of business concepts, models, and tools. Professionals who have concluded undergraduate courses of business administration, and also of different areas of knowledge, such as engineering, economics, accounting, and social sciences.\\nIt’s also important to emphasize that sales involve a broad range of areas, there are products and services related to agriculture, petrochemical, automobile, aeronautics, chemical, pharmaceutical, medical, insurance, education, retail, and consulting industries, just to mention some examples. That means sales professionals are from all sectors.\\nTherefore, learners of different academic backgrounds may benefit from doing this specialization, which is structured to support sales planning and management from a methodological standpoint. And this approach applies to a diverse range of sectors.\\nThe primary learning outcome of this specialization is the improvement of the sales planning and management competencies and skills, by providing a set of concepts, models, tools, and techniques to support the development of the sales plan structure, which will support the sale plan development.","plan; strategic-management; customer-satisfaction; corporate-bond; sales-management; sales; incentive; market-economics; customer; management","Strategic Sales Management",1.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[13.2,25.6]","Vietnamese","English","business","business-strategy","bEuFCov7EeeMexKwGJd-pg"]
["2. Upskill","Brand Management","Brand Identity and Strategy","IE Business School","Advanced",20.3,4.42,"https://www.coursera.org/learn/brand-identity-strategy","Brand identity and Strategy is a IE Business School course for those professionals who are ready to adopt a creative approach to empowering brands.\\n\\nStudents will go through a journey that starts with understanding what a brand is and how they can build successful ones, whilst simultaneously segmenting their consumers appropriately. The course explores positioning and its importance to successful brands looking at perceptual maps and the well-known iceberg model. It culminates in development of real brand houses, which can be applied to the working world, and how picking the right name, colors and logo can be instrumental to a brand’s success.\\n\\nThe course is delivered by Rhodes Scholar winning Professor, Dr Maria Eizaguirre, a member of IE Business School’s faculty.","marketing-strategy; advertising; digital-marketing; brand-identity; logos; personality; marketing; brand-management; logo; brand","Branding: The Creative Journey",1.0,"https://www.coursera.org/specializations/branding-the-creative-journey","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[14,24.7]","NA","English","business","marketing","8X1QnatdEeixzwpXZnA2cA"]
["2. Upskill","Brand Management","From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories","IE Business School","Beginner",12.0,4.51,"https://www.coursera.org/learn/brand-image-high-impact-campaign","There are many different ways to approach clients to assess their needs and develop creative campaigns which fulfill your creative desires. Many agencies have established methodology, terminology and processes, and oftentimes, have spent decades or even years developing these processes. However, whether you are a freelancer, designer, illustrator, photographer or marketing director, or perhaps a small business owner, you will be looking to develop a simple process to create campaigns for yourself or your client. \\n\\nIn this course I am offering you a methodology which you can easily put into practice. Then, as your needs change and grow, you might decide that you want to incorporate other techniques as well.  I hope this course serves as a launchpad for you to go out and win new creative projects as well as make the ones that you are currently working on even better. And most of all, I hope you have FUN! Because remember, if you're not having fun, it's not worth it!","advertising-campaigns; advertising; creativity; brand-identity; digital-branding; brand-marketing; brand; digital-marketing; creative-brief; marketing","Branding: The Creative Journey",3.0,"https://www.coursera.org/specializations/branding-the-creative-journey","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[6.1,16.4]","NA","English","business","marketing","k8OfhUnHEeemlQrrzf9X-A"]
["2. Upskill","Brand Management","Branding and Customer Experience","IE Business School","Advanced",17.0,4.65,"https://www.coursera.org/learn/branding-and-cx","Whether students come from a Branding or a Customer Experience background or perspective, this course will explore the synergies between and the intersection of the two sets of activities. While there are different approaches to defining a branding strategy, a branding project’s implementation impacts many departments and their customer-facing activities. In this sense, it’s essential to understand branding efforts in the context of Customer Experience. In this course, we will use a framework - adapted from Customer Journey Mapping - for focusing and organizing students' thinking about the operational implications of their branding projects. Through the framework, we will derive an operational language for aligning activities and measuring impacts across multiple departments and the customer touch points they manage.","knowledge-management; customer-experience; customer-experience-management; experience; employment; brand-management; mapping; brand; customer; management","Branding: The Creative Journey",4.0,"https://www.coursera.org/specializations/branding-the-creative-journey","This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience.\\n\\nWe must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.","[10.9,24.4]","NA","English","business","marketing","jqT6nrHfEeiG4w7I1UJuRA"]
["2. Upskill","Brand Management","Brand Management: Aligning Business, Brand and Behaviour","University of London","Intermediate",24.5,4.87,"https://www.coursera.org/learn/brand","Professor Nader Tavassoli of London Business School contrasts traditional approaches to branding - where brands are a visual identity and a promise to customers - to brands as a customer experience delivered by the entire organisation. The course offers a brand workout for your own brands, as well as guest videos from leading branding professionals. \\n\\nThe aim of the course is to change the conception of brands as being an organisation's visual identity (e.g., logo) and image (customers' brand associations) to an experience along \"moments-that-matter\" along the customer journey and, therefore, delivered by people across the entire organisation. Brands are thus not only an external promise to customers, but a means of executing business strategy via internal brand-led behaviour and culture change.\\n\\nYou will learn and practice the following skills:\\n\\n1.\\tHow to build brands from a broad organisational perspective \\n2.\\tHow to lead brand-led culture change with human resource practices at the core (i.e., brand as a lever and not just an outcome) \\n3.\\tHow to build brands in multi-brand companies, across cultures and geographies\\n4.\\tHow to measure brand health in new ways, that is, internally in addition to externally\\n5.\\tHow to value and capture returns to brands across the organisation - introducing the new concept of employee-based brand equity - and how this is different from the valuation of brands as intangible assets. \\n\\nThis course allows you to develop the following aspects of yourself:\\n\\n1.\\tHead. Gain a deeper understanding of the evolving practice of brand management, one that goes further than practiced in most organisations today\\n2.\\tHeart. Be motivated to engage in delivering your own brands – regardless of where you are in your organisation – thereby creating superior value for customers and for your organisation\\n3.\\tHands. Translate learnings into action. As Confucius is supposed to have said: “I hear and I forget. I see and I remember. I do and I understand.”","brand-equity; brand-marketing; brand-identity; marketing; stock; experience; brand-management; customer-experience; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.7,32.3]","NA","English","business","entrepreneurship","-8cOpydnEeaTvRKF2VtmxQ"]
["2. Upskill","Consumer Behaviour","Firm Level Economics: Consumer and Producer Behavior","University of Illinois at Urbana-Champaign","Advanced",22.2,4.8,"https://www.coursera.org/learn/firm-level-economics","All goods and services are subject to scarcity at some level. Scarcity means that society must develop some allocation mechanism – rules to determine who gets what. Over recorded history, these allocation rules were usually command based – the king or the emperor would decide. In contemporary times, most countries have turned to market based allocation systems. In markets, prices act as rationing devices, encouraging or discouraging production and encouraging or discouraging consumption in such a way as to find an equilibrium allocation of resources. We will construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Markets are frequent targets of government intervention. This intervention can be direct control of prices or it could be indirect price pressure through the imposition of taxes or subsidies. Both forms of intervention are impacted by elasticity of demand. \\n\\nAfter this course, you will be able to: \\n•\\tDescribe consumer behavior as captured by the demand curve.\\n•\\tDescribe producer behavior as captured by the supply curve.\\n•\\tExplain equilibrium in a market.\\n•\\tExplain the impact of taxes and price controls on market equilibrium.\\n•\\tExplain elasticity of demand.\\n•\\tDescribe cost theory and how firms optimize given the constraints of their own costs and an exogenously given price.\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","market-economics; economic-analysis; supply-and-demand; demand; economics; price-elasticity-of-demand; microeconomics; supply-chain; analysis; cost","Managerial Economics and Business Analysis",1.0,"https://www.coursera.org/specializations/managerial-economics-business-analysis","In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment they operate in. In this Specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.\\n\\nThe capstone project involves an in-depth analysis of an actual business situation in which you will examine the global economic environment of a business. The final project will be a business plan that uses statistical tools and economic theory to create a comprehensive analysis of the microeconomic and macroeconomic environment in which the focal company operates.\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. You can also start with for-credit courses within the Illinois iMBA degree program.","[13.9,25.4]","NA","English","business","finance","sFiBn4SSEeWxQQoymFg8zQ"]
["2. Upskill","Consumer Behaviour","An Introduction to Consumer Neuroscience & Neuromarketing","Copenhagen Business School","Beginner",11.2,4.68,"https://www.coursera.org/learn/neuromarketing","How do we make decisions as consumers? What do we pay attention to, and how do our initial responses predict our final choices? To what extent are these processes unconscious and cannot be reflected in overt reports? This course will provide you with an introduction to some of the most basic methods in the emerging fields of consumer neuroscience and neuromarketing. You will learn about the methods employed and what they mean. You will learn about the basic brain mechanisms in consumer choice, and how to stay updated on these topics. The course will give an overview of the current and future uses of neuroscience in business.","market-economics; neuroscience; consumer-neuroscience; marketing; market-research; communication; neuromarketing; brand; consumer-behaviour; brain","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.9,12.2]","NA","English","business","leadership-and-management","ix84hqAPEeS1LCIACxcNEQ"]
["2. Upskill","Consumer Behaviour","The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior","University of Rochester","Intermediate",10.2,4.55,"https://www.coursera.org/learn/market-power","This opening module of the Power of Markets course covers the basic assumptions about market participants made by economists, the concept of opportunity cost, and the key determinants of supply and demand. We will then learn how to use the supply-demand framework to explain and predict market outcomes and to show how government policies affect those market outcomes. We will look at how quantity demanded and supplied respond to their key determinants in quantitative (elasticity) as well as qualitative terms. The last two weeks of the first module will investigate consumer behavior more closely and show how consumer choices are driven by the interplay of preferences and budget constraints. We will employ the consumer choice framework to examine investor choice as well as policies such as ObamaCare and school choice. Finally, we will also address the concept of how to distribute a given amount of goods across a society’s consumers in the most efficient manner.","economics; supply-chain; supply-and-demand; budget-constraint; demand; price-elasticity-of-demand; market-economics; consumer-behaviour; consumer-choice; budget","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.3,12.6]","NA","English","business","business-essentials","KoJTHEpJEeWJHwqqqPAooQ"]
["2. Upskill","Fashion","Fashion as Design","The Museum of Modern Art","Intermediate",20.4,4.84,"https://www.coursera.org/learn/fashion-design","Among all objects of design, our clothes are the most universal and intimate. Like other kinds of design, fashion thrives on productive tensions between form and function, automation and craftsmanship, standardization and customization, universality and self-expression, and pragmatism and utopian vision. It exists in the service of others, and it can have profound consequences—social, political, cultural, economic, and environmental.\\n\\nFashion as Design focuses on a selection of more than 70 garments and accessories from around the world, ranging from kente cloth to jeans to 3D-printed dresses. Through these garments, we’re going to look closely at what we wear, why we wear it, how it’s made, and what it means. You’ll hear directly from a range of designers, makers, historians, and others working with clothing every day—and, in some cases, reinventing it for the future. Studio visits, interviews, and other resources introduce the history and development of each garment and their changing uses, meanings, and impact over time. \\n\\nCourse Learning Objectives:\\n\\nDevelop critical tools to appreciate and contextualize fashion design—from everyday clothing to couture garments—through many different perspectives. \\n\\nTrace the history, development, and impact of garments over time, and explore how they may be reinvented.\\n\\nInvestigate garments through multiple lenses including politics, identity, and economics. \\n\\nUnderstand more about the lifecycle of clothing, from its design and production to its marketing, distribution, and consumption. \\n\\nBetter comprehend the choices you make about fashion with respect to the visual language of dress, individual and collective identities, and issues such as labor practices, sustainability, and body politics.","creativity; sustainability; history; art-history; learning; graphic-design; art; analysis; critical-thinking; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.5,23.2]","NA","English","arts-and-humanities","music-and-art","xfaXlhvMEeeK5RKT8BCCCA"]
["2. Upskill","Fashion","Management of Fashion and Luxury Companies","Università Bocconi","Intermediate",17.1,4.67,"https://www.coursera.org/learn/mafash","Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.\\n\\nAdopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace. \\n\\nTopics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.","luxury-goods; modeling; communication; product-business; retail-management; brand-management; business-model; marketing; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.3,20.1]","NA","English","business","leadership-and-management","4tHoAq3EEeSk9iIAC49U6w"]
["2. Upskill","International Marketing","International Marketing Entry and Execution","Yonsei University","Intermediate",6.8,4.71,"https://www.coursera.org/learn/international-marketing-entry-execution","This will be part 2 of a two-series foundation courses for the Specialization: International Marketing & Cross Industry Growth. This course will dive in more deeply into consumer science investigation, B2C marketing, International Marketing Entry, Targeting, Positioning, International Product, International Promotion, International Place and International Price. The last set of classes will discuss seven new ways to innovate in International Marketing that all start with the letter \"S\" and hence will be called the 7S International Marketing Innovation. There will be a heavy emphasis on how companies can incorporate CCCI Innovation, i.e. Cross Country and Cross Industry Innovation in marketing.\\n\\nAfter you successfully complete this course learners will obtain the following outcomes:\\n\\n(1) from a business to consumer standpoint (B2C), learn how to approach consumers as science investigators.\\n(2) an understanding of how to enter international markets, select targets and position their brands.\\n(3) achieve deeper insights into the core meaning of international marketing elements, i.e. product, promotion, place, and price in the international marketing context, and their inter-element relationships with each other.\\n(4) acquire new thinking about innovating in marketing with the 7S approach: social, small, simple, skip, sports, screen, and set marketing with cross-country and cross-industry innovation implications.","principle; c-ross; product; marketing; sports; innovation; global-marketing; product-management; competitiveness; customer-relationship-management","International Marketing & Cross Industry Growth",2.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[4,8.4]","Spanish; Korean; Chinese","English","business","marketing","1vFfwoE5EeWuHwqbqMyacw"]
["2. Upskill","International Marketing","International B2B (Business to Business) Marketing","Yonsei University","Beginner",6.8,4.55,"https://www.coursera.org/learn/b2b-marketing","This course offers a unique perspective into the differentiating aspects of business to business (B2B) marketing that can be contrasted to traditional business to consumer (B2C) marketing that is the subject of most other marketing curricula. Moreover, as one of the courses in the Specialization: International Marketing & Cross Industry Growth, here too there is an emphasis on how companies can expand by cross-country and cross-industry innovation.  \\n\\nBy taking this course learners will obtain the following outcomes:\\n\\n(1) understand the differences between B2C and B2B marketing.\\n(2) approach marketing problems from an inter-organizational perspective, in particular, learn about decision making at buying centers.\\n(3) innovate B2B marketing via a CCCI, i.e. Cross Country & Cross Industry Innovation approach.\\n(4) gain insights about CCCI Innovation and best practices via interviews with top B2B industry experts.","marketing-strategy; c-ross; promotion-marketing; marketing; b2b-marketing; global-marketing; business-to-business; inspection; business-marketing; analysis","International Marketing & Cross Industry Growth",3.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[3.9,8.1]","Chinese; Spanish; Korean","English","business","marketing","_3FDkYE5EeWuHwqbqMyacw"]
["2. Upskill","International Marketing","International Marketing & Cross Industry Growth Capstone Project","Yonsei University","Intermediate",9.2,4.56,"https://www.coursera.org/learn/international-vertical-marketing-capstone-project","This course will act as the culmination of the Specialization: International Marketing & Cross Industry Growth. The aim is to help you apply what you have learned during the 16 weeks of the 5 courses and conduct an \"action learning\" project that will consist of the following:\\n\\n1. Situation Analysis for their chosen company or brand.\\n2. Marketing Mix Analysis for their chosen company or brand.\\n3. Cross Country Innovation Plan when expanding abroad.\\n4. Cross Industry Innovation Plan when sourcing ideas or expanding into another industry.\\n\\nAll of these analyses will have templates that will be explained in the video lectures using an exemplar case, \"Yuhan Kimberly.\" You will be required to choose a company on which these analyses will be performed. As such, the intent will be to provide you an integrated set of insights and application to a chosen managerial situation and problems at hand in the context of a specific region or country. You will be required to also choose another industry (from the ones covered in the Specialization: B2C, B2B, Healthcare, Hospitality, Entertainment, Sports) when developing your Cross Industry Innovation Plan. For example, if you work for a company in the Healthcare industry and have analyzed that company, you should then conduct a Cross Industry Innovation project using concepts from a different industry such as Entertainment.","NA","International Marketing & Cross Industry Growth",6.0,"https://www.coursera.org/specializations/international-marketing","This Specialization covers marketing concepts but, more importantly, emphasizes the need by companies and individuals to think openly across international markets and industries for new ideas or expansion. This is summarized as \"Cross Country & Cross Industry\" Innovation, or CCCI in short. The first two courses will establish the core foundations and then the last three courses will elaborate on major global industry clusters: course 3 on B2B, course 4 on Healthcare and Hospitality, and course 5 on Sports and Entertainment. The capstone will require learners to develop a new product using knowledge learned from at least 2 industries.","[4.7,12.3]","Chinese; Spanish","English","business","marketing","TCVXeIE6EeWJSwoTsapXpQ"]
["2. Upskill","Marketing Fundamentals","Marketing analytics: Know your customers","Macquarie University","Intermediate",11.6,4.3,"https://www.coursera.org/learn/marketing-analytics-customers","Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints across the customer journey make it increasingly difficult to measure effectiveness. You will develop an understanding of traditional and digital marketing metrics and what questions they answer, as well as how to achieve a single integrated view of the customer. You’ll experiment with behaviour and predictive analytics to develop marketing that delivers customers the right product via the right channel at the right time.","customer; customer-relationship-management; customer-experience; marketing-analytics; experience; marketing; management; digital-marketing; analytics; knowledge-management","Analysing: Numeric and digital literacies",4.0,"https://www.coursera.org/specializations/analysing-numeric-digital-literacies","Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).","[5.8,15.5]","NA","English","business","marketing","vxUgaKWwEeidiRKo7opZig"]
["2. Upskill","Marketing Fundamentals","Marketing in a Digital World","University of Illinois at Urbana-Champaign","Beginner",28.4,4.62,"https://www.coursera.org/learn/marketing-digital","This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera with over 150,000 Learners and is rated by Class Central as one of the Top 50 MOOCs of All Time (https://www.class-central.com/report/top-moocs/).\\n\\nThis course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.","product; marketing; product-business; marketing-mix; pricing-strategies; digital-marketing; pricing; market-economics; brand; integration-testing","Digital Marketing",1.0,"https://www.coursera.org/specializations/digital-marketing","Master strategic marketing concepts and tools to address brand communication in a digital world.\\n\\nThis Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.\\n\\nIn 2016, this was one of the top 10 specializations in terms of enrollments. INC Magazine rated the first course, Marketing in a Digital World, as one of The 10 Hottest Online Classes for Professionals in 2015. In addition, this course was also ranked in the top five courses across multiple MOOC providers. Finally, the Digital Marketing Certificate was the top coveted certificate on Coursera in 2015. Get more updates on the specialization at http://digitalmarketingprofs.com/\\n\\nThis Specialization is part of the University of Illinois Masters of Business Administration degree program, the iMBA. Learn more about the admission into the program here.","[19.4,33.1]","NA","English","business","marketing","FDKAdNsuEeSEcyIAC2mPOQ"]
["2. Upskill","Marketing Fundamentals","Marketing: Customer Needs and Wants","IESE Business School","Intermediate",13.9,4.33,"https://www.coursera.org/learn/marketing-customers","Understanding who your customers are and what they need and want is at the heart of successful marketing strategies. In this course you will explore how to identify and classify customers and the different methods that marketing professionals use to shed light on how they make purchase decisions.\\n\\nThe course will cover the following:\\n1. Marketing Fundamentals\\n2. Product, Pricing and Channel Decisions \\n3. Building Strong Brands \\n4. Communication Strategy","value-proposition; brand-management; channel-management; product-business; marketing; product-management; proposition; brand; management; product","Foundations of Management",3.0,"https://www.coursera.org/specializations/foundations-management","Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company.\\n\\nThis Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma.\\n\\nThis Specialization will provide you with the skill set needed to help achieve the next step in your career.","[8.1,17.5]","Vietnamese","English","business","business-strategy","i7N8t4khEeW99gozy_2pgw"]
["2. Upskill","Marketing Fundamentals","Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more","IE Business School","Beginner",8.9,4.69,"https://www.coursera.org/learn/integrated-marketing-communications","Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. \\n\\nThrough this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions. After completing this course you'll be able to use integrated marketing communications (IMC) in the process of creating valuable brands and winning your consumers. \\n\\nIE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples.  After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications and the placement of advertising and digital marketing.","management; advertising; market-economics; marketing-mix; marketing; integrated-marketing-communications; marketing-communications; communication; brand; digital-marketing","Marketing Mix Implementation",4.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[4.6,11.6]","Spanish; Korean","English","business","marketing","koPOOn1dEeWKYwric11Hpw"]
["2. Upskill","Marketing Fundamentals","Marketing Mix Implementation Capstone","IE Business School","Intermediate",15.2,4.48,"https://www.coursera.org/learn/marketing-mix-capstone","After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.\\n\\nYour analysis will focus on Tesla Motor's and the launch of their Model X automobile.  After making decisions regarding each of the four P's in peer graded exercises, you will prepare a final presentation for the launch of the car.","marketing-mix; marketing; pricing; deliverable; product-management; product-business; communication; product; brand; management","Marketing Mix Implementation",5.0,"https://www.coursera.org/specializations/marketing-mix","In this Specialization we will delve into the marketing mix and the skill-set needed to implement successful marketing strategies. Join us and explore the four key concepts of the marketing mix model, also known as the 4Ps: Product (Brand and Product Management), Pricing, Place (Distribution Channel Strategy and Retail) and Promotion (Communication Strategies, PR and Advertising). This course primarily focuses on implementation so you can immediately apply the lessons learned to your work or to a business idea that you are thinking of taking to market. After completing the four courses, you will be able to take part in the Capstone Project where you will have the opportunity to put into practice what you have learned in this specialization by running a real product through the marketing mix.","[10.2,18.8]","NA","English","business","marketing","xUz-eaTtEeWkKArXiJndEw"]
["2. Upskill","Pricing","Cost and Economics in Pricing Strategy","University of Virginia","Beginner",22.2,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-cost-economics","How much should you charge for your products and services? Traditionally, businesses have answered this question based on the cost to produce or provide their goods and services. This course shows you the economic factors behind pricing based on cost and the pros and cons of a cost-based pricing approach. Led by Darden faculty and Boston Consulting Group global pricing experts, the course provides the practical and research-based models and methods you need to set prices that maximize your profits. \\n\\nBy the end of this course, you’ll be able to:\\n--Apply knowledge of basic economics to make better pricing decisions\\n--Recognize opportunities for price discrimination—selling the same product at different prices to different buyers—and recommend strategies to maximize sales and profits\\n--Calculate three types of price elasticities to determine the impact of price on demand\\n--Analyze and apply different pricing models\\n  -Cost-plus pricing\\n  -Marginal cost-plus pricing\\n  -Peak-load pricing\\n  -Index-based pricing\\n--Evaluate the impact of channel intermediaries and customer lifetime value on pricing","pricing-strategies; price-optimization; demand; price-analysis; market-economics; analysis; price-elasticity-of-demand; pricing; pricing-analysis; economics","Pricing Strategy Optimization",1.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.5,24.6]","Romanian","English","business","marketing","EIxoA4DiEeaTWA5e4i8Kvw"]
["2. Upskill","Pricing","Customer Value in Pricing Strategy","University of Virginia","Intermediate",20.4,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-customer-value","The traditional approach to pricing based on costs works to pay the bills, but it leaves revenue on the table. You can, in fact, price your products in a way that increases sales--if you know what your customers are willing to pay and can leverage psychology to create better deal and discount plans. In this course, we'll show you how to price a product based on how your customers value it and the psychology behind their purchase decisions. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of value-based pricing and how to use it to capture more revenue.\\n\\nBy the end of this course, you'll be able to...\\n-- Apply knowledge of customer value to price products\\n-- Leverage core value-based pricing techniques to inform pricing decisions\\n-- Measure customer willingness to pay using models (surveys, conjoint analysis, other data)\\n-- Use knowledge of consumer psychology to set prices beneficial to both consumers and sellers","pricing-strategies; psychology; customer; willingness-to-pay; value-based-pricing; conjoint-analysis; pricing; analysis; business-value; laddering","Pricing Strategy Optimization",2.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[13.1,22.6]","NA","English","business","marketing","a4IUMIDiEeaztxKMUHWbjQ"]
["2. Upskill","Pricing","Market and Competition in Pricing Strategy","University of Virginia","Advanced",17.8,4.82,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-market-competition","If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Led by Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.","pricing; market-economics; competitiveness; price-war; pricing-strategies; game-theory; market-segmentation; customer; price-discrimination; competition-economics","Pricing Strategy Optimization",3.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[10.5,18.8]","NA","English","business","marketing","yqbsd4DiEea0rRKMrzxAVw"]
["2. Upskill","Pricing","Pricing Strategy in Practice","University of Virginia","Advanced",10.4,4.62,"https://www.coursera.org/learn/uva-darden-bcg-pricing-strategy-practice","In this project-centered course, Darden's Ron Wilcox and BCG's Thomas Kohler will walk you through a real-world case, from problem statement to detailed analyses. You'll use all three lenses (cost, customer value, and competition) to recommend an optimal price—and then adjust to market disruptions. Utilizing the concepts, tools and techniques taught in previous Specialization courses—from basic techniques of economics to knowledge of customer segments, willingness to pay, and customer decision making to analysis of market prices, share, and industry dynamics—you will practice setting profit maximizing prices to improve price realization. You'll finish the course with a portfolio-building project that demonstrates your pricing prowess.","market-economics; customer; analysis; pricing-strategies; business-value; go-to-market; pricing; conjoint-analysis; market-dynamics; cost","Pricing Strategy Optimization",4.0,"https://www.coursera.org/specializations/uva-darden-bcg-pricing-strategy","In this Specialization, we show you techniques to increase price realization and maximize profits. Learn from Boston Consulting Group's global pricing experts and University of Virginia Darden School of Business faculty, who share the frameworks, tips and tools we use in our business and research environments. We will look at pricing through BCG's proprietary and time-tested three “lenses”—cost and economics, customer value, and competition—to build your understanding of the strategic power of pricing. You’ll leave the Specialization with a portfolio-building presentation that demonstrates your ability to price strategically.","[6.4,11.6]","NA","English","business","marketing","Agk8yoDjEeaajBLtQE6fuQ"]
["2. Upskill","Product Development","New Product Development - develop your own new product","Technion - Israel Institute of Technology","Advanced",41.4,4.28,"https://www.coursera.org/learn/new-product-development","New product development is essential for the survival of many companies in the Hi-Tec sector, as well as other sectors.\\nThe percentage of sales of successful business organizations tied to the successful Introduction of new products and services is high. However, the failure rate of new products development projects is also high and therefore there is a need for a methodology based on a well-designed process as well as tools and techniques to manage New Product Development (NPD) projects. Since most companies develop new products, it is important to you as a manager to be familiar and understand the basic concepts and terminology of NPD projects. \\n\\nThis course will give you holistic view of the new product development arena and will help you gain specific knowledge in how to select, plan, monitor and control a new product development project, using the proper tools and techniques.\\n\\nUpon completion of this MOOC, you will:\\n1.  have a clear view and understanding of the New Product Development (NPD) arena\\n2.  be able to select the right product configuration based on value (Voice of the customer), cost, time to market and risks.\\n3.  be able to develop a feasible plan for your own product.\\n4.  be able to execute your plan in an uncertain dynamic environment using the right tools and techniques.\\n\\nAs part of the course the learners are required to purchase a discounted license for the Product Team Builder Simulator (http://www.sandboxmodel.com/), which is used for training and assignment submission. Please notice the simulator can only be used with Internet Explorer from a Windows computer.","innovation-management; new-product-development; product-business; sales; food-quality; product-management; industrial-design; product-development; e-commerce; product","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.5,62.1]","NA","English","business","entrepreneurship","YAymk1cKEeaIlw57rh81AQ"]
["2. Upskill","Product Development","Design-Led Strategy: Design thinking for business strategy and entrepreneurship","The University of Sydney","Intermediate",14.1,4.55,"https://www.coursera.org/learn/design-strategy","This course is for entrepreneurial managers who are looking for tools and techniques to introduce exciting, innovative products or services to market quickly and informed by high-quality customer insights. It is applicable to a range of organizations from small-medium sized enterprises through to corporates, and across a range of industrial segments.\\n \\nThe problem this course helps address is the constant pressure managers face to be innovative and introduce novel products and services for their customers. However, many creative ideas get ‘stuck’ in the boardroom or are subject to intra-organizational tensions or group think. This course provides methodologies to break through these challenges. \\n \\nWe build on the widely known concept of design thinking but update it and apply it to advance business strategy and entrepreneurship. Over five weeks you will learn what ‘design strategy’ is, how it differs from traditional design thinking and business strategy, and how it can be used to improve existing products or services in your business, or introduce breakthrough ideas. \\n \\nWe will also provide an exclusive, deep-dive into the practical application and impact of these strategies in one of Australia’s newest, most innovative financial institutions, UBank, and the global re-insurance giant, Swiss Re. Through conversations with their Senior Executive Leadership Teams, including UBank’s CEO, we will explore how they have embedded innovation through design thinking. By the end of this course, you will have a set of tools to inform product design and development for your own start-up, or to extend the product roadmap of an established organization.","design-management; business-model-canvas; modeling; strategic-planning; design-thinking; business-model; strategic-management; product; business-strategy; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,22.3]","NA","English","business","business-strategy","r938sa1xEeeTdQ7VF-D76g"]
["2. Upskill","Product Development","Digital Product Management: Modern Fundamentals","University of Virginia","Beginner",18.8,4.71,"https://www.coursera.org/learn/uva-darden-digital-product-management","Not so long ago, the job of product manager was about assessing market data, creating requirements, and managing the hand-off to sales/marketing. Maybe you’d talk to a customer somewhere in there and they’d tell you what features they wanted. But companies that manage product that way are dying.\\n\\nBeing a product person today is a new game, and product managers are at the center of it. Today, particularly if your product is mostly digital, you might update it several times a day. Massive troves of data are available for making decisions and, at the same time, deep insights into customer motivation and experience are more important than ever. The job of the modern product manager is to charter a direction and create a successful working environment for all the actors involved in product success.  It’s not a simple job or an easy job, but it is a meaningful job where you’ll be learning all the time. \\n\\nThis course will help you along your learning journey and prepare you with the skills and perspective you need to:\\n\\nCreate the actionable focus to successfully manage your product (week 1)\\nFocus your work using modern product management methods (week 2)\\nManage new products and explore new product ideas (week 3)\\nManage and amplify existing products (week 4)\\n\\nThis course is ideal for current product or general  managers interested in today's modern product management methods.\\n\\nThis course was developed with the generous support of the Batten Institute at UVA’s Darden School of Business. The Batten Institute’s mission is to improve the world through entrepreneurship and innovation: www.batteninstitute.org.","management; product-strategy; product-planning; agile-management; lean-startup; planning; product; product-business; product-market-fit; product-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,21.3]","Chinese","English","business","leadership-and-management","Fk0RyfhqEeaQswpW71qb2A"]
["2. Upskill","Sales","Selling to Chinese Consumers","The Chinese University of Hong Kong","Intermediate",16.6,4.47,"https://www.coursera.org/learn/selling-to-chinese-consumers","This course is designed to help learners sell their products, goods and services to Chinese consumers. To achieve this goal, the course will use evidence-based research in psychology, economics, legal studies and marketing to help learners understand the historical, economic and legal contexts of doing business in China and the behavioral characteristics of Chinese consumers. The course will cover topics in Chinese and global marketing, Chinese consumers, institutional and cultural influence on consumer motivation and behaviors in Chinese markets, and brand management in China.","marketing; market-economics; brand-marketing; customer-relationship-management; conspicuous-consumption; management; sales; product-business; brand; integration-testing","Doing Business in China",1.0,"https://www.coursera.org/specializations/doing-business-in-china","Participants will know how Chinese entrepreneurs, consumers and employees think and act, and be able to generate consumer and business insights for doing business in China. Through the use of well-designed business cases, participants will be able to apply this knowledge when they start or manage a business organization in China. Participants will be able to identify business opportunities and challenges based on nuanced understanding of the socio-political, economic, cultural, and technological environments in China, and leverage on their consumer and business insights to develop and implement culturally informed strategic plans.","[10.2,23.6]","NA","English","business","business-strategy","sN_mwkvGEeaovA5yk1oeyQ"]
["2. Upskill","Sales","Sales Strategy","Fundação Instituto de Administração","Advanced",18.0,4.51,"https://www.coursera.org/learn/sales-strategy","Welcome to Course 2 - Sales Strategy - This course is designed to discuss the application of intelligence analysis in the sales planning process. And this approach contributes to integrating the sales planning process into the corporate strategy of the company because, in the strategy analysis and formulation process, we apply models, frameworks, tools, and techniques that also apply to the sales planning and management process. \\nTherefore, the expected outcomes of this course focus on the transition from traditional to strategic sales planning, by discussing and applying the concepts recommended to support the development of the strategic guidelines. \\nThe concepts, models, tools, and techniques discussed and practiced during the course focus on the improvement of value creation from the sales function empowered by intelligence analysis, a process which typically applies in the strategy analysis front. \\nThe discussions go through how intelligence analysis can support the sales function, by providing methods to connect strategy to marketing and sales planning processes. \\nIn this course, the primary learning outcome is the ability to apply intelligence analysis to support sales planning process, and by being able to do this, you’ll improve your competencies and skills to support sales planning with a strategic approach. \\nYou’ll develop a final assignment at the end of the course, and it is designed from an adapted real-life business case. The challenges of the case comprise the business context, through which you’ll apply the conceptual framework discussed during Course 2. \\nThe outcomes of your analysis on the assignment case will be evaluated through a peer-review process.","plan; externality; sales; maturity-finance; intelligence-analysis; competitiveness; sales-analytics; analysis; sales-strategy; standard-score","Strategic Sales Management",2.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[12.2,20.8]","NA","English","business","business-strategy","lYVp74v7EeeMexKwGJd-pg"]
["2. Upskill","Sales","Models & Frameworks to Support Sales Planning","Fundação Instituto de Administração","Advanced",21.4,4.57,"https://www.coursera.org/learn/models-frameworks-support-sales-planning","Welcome to Course 3 - Models & Frameworks to Support Sales Planning – In this course, you’ll go through a conceptual approach to selling models and frameworks.\\nAs a primary learning outcome of this course, we emphasize the improvement in the analytical competencies and skills to develop sales planning and management. And the learning process goes through the application of the models and frameworks that contribute to supporting these processes.\\nThis course is aimed at professionals who seek improvement in conceptual support to the sales planning process, especially with an emphasis on applying selling models and frameworks methodology.\\nAt this point of the Strategic Sales Management specialization, you have an excellent understanding of the integration of sales planning to the strategy of the company. You also have a vision of major prescriptions and recommendations to support this integration, and proceed to strategic sales planning by applying intelligence analysis.\\nNow, in this course, selling models and frameworks will be discussed, from a conceptual standpoint to add methodological structure into the sales planning process. Therefore, throughout the modules of this course, the subjects discussed will include topics of sales management (module 1), the selling models and frameworks (module 2) that support sales planning, which relates to the hard skills that may be applied. \\nIn the third module of this course, soft skills are brought to the discussion, since they comprise an essential component because sales functions include many aspects of the human interactions.\\nPlease follow the steps of the course, and for academic objectives, we would recommend you to do it in the sequence of modules proposed, though you may take them in a different order.\\nWe look forward to having you during the course modules and lessons.","customer; plan; management; sales-management; sales-strategy; modeling; training; sales; communication; negotiation","Strategic Sales Management",3.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[11.3,21.6]","NA","English","business","business-strategy","CwrcGov8EeePWgqbK9hHyA"]
["2. Upskill","Sales","Sales & Marketing Alignment","Fundação Instituto de Administração","Advanced",15.8,4.46,"https://www.coursera.org/learn/sales-marketing-alignment","Welcome to Course 4 – Sales & Marketing Alignment.\\nThis course focus on what is considered by most academics and practitioners as the biggest challenge that sales professionals have to face.\\nAs we discussed in Course 1 – Effective Sales, strategy, and sales must be integrated to support a high potential for value creation through the sales functions. We also mentioned that strategy and sales integration can be supported by marketing functions.\\nThe discussions then went through sales strategy supported by intelligence analysis (Course 2), sales models and frameworks to support sales planning (Course 3).\\nBy the consequence, at this point of this specialization, you are in a good position to go further in the sales planning and management functions. And this is the moment to tackle one of the biggest challenges that most sales professionals must address with diligence – Sales & Marketing Alignment.\\nThe primary learning outcome of this course is to prepare you to apply concepts to support this alignment, with prescriptions and recommendations that contribute to improving the alignment. The improvement in the knowledge, competencies, and skills regarding sales & marketing alignment will contribute to increasing the potential for value creation from a strategic sales planning approach.","fundraising; marketing; strategic-planning; consensus-decision-making; market-economics; intelligence-analysis; checklists; sales; product-business; management","Strategic Sales Management",4.0,"https://www.coursera.org/specializations/sales-management-bridging-gap-strategy-sales","This Specialization is intended for sales professionals who seek to improve their sales planning and management competencies and skills. Through five courses, you will cover Effective Sales overview, Sales Strategy, Models and Frameworks to Support Sales Planning, Sales & Marketing Alignment, and you will develop a Final Project.\\n\\nBy the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding the sales planning process. And you will be able to apply the concepts integrating the sales planning process to the strategy of the company, by bridging the gap between strategy and sales.\\n\\nThe potential for value creation through the sales functions will be increased at the end of the Specialization.","[9.5,16.5]","NA","English","business","business-strategy","IXrhpov8EeePrQqzCAEY3A"]

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["Law","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Constitutional","Citizenship and the Rule of Law","University of London","Beginner",14.2,5.0,"https://www.coursera.org/learn/citizenship-rule-of-law","Be you so high, the law is above you. This principle, part of the Rule of Law, has come to represent the powerful idea that even politicians and monarchs are bound by the law. However in an age of powerful corporations, international cyber-crime and popular support for authoritarian leaders, the Rule of Law is under threat worldwide.\\n\\nThis course, run by the Bingham Centre of the British Institute of International and Comparative Law, will provide an introduction to headline issues around the Rule of Law. Each week we will tackle aspects of the Rule of Law and discuss how they are impacted by current events. The course will use video lectures, recommended reading, discussion questions and activities to enable you to develop your own perspective on the Rule of Law. Though this course sits at the intersection of law and politics, participants do not require any formal educational background in either of these subjects to join. The course will take place over 6 weeks with approximately 3 hours of content each week.","law; international-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.5,18.8]","NA","English","social-sciences","law","toH5UWwIEemc6AqtTlCjeg"]
["1. Literacy","Intellectual Property","Protecting Business Innovations via Trademark","The Hong Kong University of Science and Technology","Beginner",11.6,4.84,"https://www.coursera.org/learn/protect-business-innovations-trademark","Protecting Business Innovations Via Trademark\\n\\nWatch Course Overview:  https://youtu.be/mUja4iwbrTE\\n\\nIntellectual property rights (IPR) has a great impact on innovation development and society. In Science, Engineering, and Business, we seek to create wealth through innovation in products, designs, manufacturing processes, and business systems or models. However, innovation leaders often FAIL to benefit from their discoveries and inventions when they are unable to adequately protect those innovations. \\n\\nThis course provides learners with an understanding of how trademark laws can be used to protect business innovation using a combination of lectures and case examples for discussion.  The course focus on protecting innovations with Trademark as one of several tools that can be used by companies to protect their brands and products.  In additional to learning about how trademark law works in theory, we will also discuss situations in which trademark might not be effective in protecting innovations, and will focus on the legal issues involved from a practical business perspective rather than from a purely legal viewpoint.  This course is one part of a four course series focusing on protection of business innovations using copyright, patent, trademark and strategy, and these four courses may be taken in any order that is most beneficial to students interested in learning about protecting innovation.","intellectual-property; service-innovation; brand-management; intellectual; intellectual-property-law; trademarks; law; dotproperties; brand; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.1,12.5]","Chinese","English","business","business-strategy","3BtSOZkvEeeNegqR6J6tDg"]
["1. Literacy","Criminal","Introduction to International Criminal Law","Case Western Reserve University","Intermediate",6.7,4.77,"https://www.coursera.org/learn/international-criminal-law","-- About the Course --\\n\\nFrom the Nuremberg trial to the case against Saddam Hussein, from the prosecution of Al-Qaeda terrorists to the trial of Somali pirates – no area of law is as important to world peace and security as international criminal law.  Taught by one of the world’s leading experts in the field, this course will educate students about the fundamentals of international criminal law and policy.  We will explore the contours of international crimes such as genocide, war crimes, terrorism, and piracy.  We will examine unique modes of international criminal liability and specialized defenses.  And we will delve into the challenges of obtaining custody of the accused and maintaining control of the courtroom.\\n\\n-- Course Syllabus --\\n\\nThis course comprises eight units (or \"modules\"). Each will include an assigned reading, typically an article or book chapter, as well as a simulation designed to bring the readings to life.\\n\\nI will also offer video lectures on each of the topics, accompanied by slides.  In addition, there will be online role-play exercises and debates, enabling the students to share their own insights. \\n\\nThe order of class sessions will be:\\n\\n(1)     History: From Nuremberg to The Hague\\n\\n(2)     International Crimes Part 1: War Crimes, Genocide, Crimes against Humanity, and Torture\\n\\n(3)     International Crimes Part 2: Terrorism and Piracy\\n\\n(4)     Special modes of liability: command responsibility, co-perpetration, and incitement\\n\\n(5)      Special defenses: insanity, obedience to orders, duress, and head of state immunity\\n\\n(6)      Gaining custody of the accused: extradition, luring, abduction, and targeted killing\\n\\n(7)      Pre-Trial Issues: plea bargaining, self-representation, and exclusion of torture evidence\\n\\n(8)      Maintaining control of the courtroom    \\n\\n-- Recommended Background --\\n\\nYou don’t have to be a lawyer and there are no prerequisites for this course. However, the course will be conducted at the level expected of advanced undergraduate students. Therefore, for all participants, reading and writing comfortably in English at the undergraduate college level is desirable. \\n\\n-- Suggested Readings --\\n\\nStudents should read the assigned online materials for each unit in advance of the class session.  \\n\\nIn addition, students are invited to subscribe to “War Crimes Prosecution Watch,” a free bi-weekly e-newsletter that summarizes the latest developments in the field of international criminal law.\\n\\n-- Course Format --\\n\\nThis course is made up of eight content units. Each unit is based on an online reading assignment, a video lecture of about one hour in length, and one or more role play exercises to stimulate on-line discussion. The course also offers in-video enrichment quizzes (ungraded) for each unit, a ten question multiple choice midterm diagnostics exam (ungraded), and a ten question True/False Final Exam.   \\n\\n-- FAQ--\\n\\nHow will this course be graded? \\n\\nThis course is graded on completion. In order to complete the course each student must: (1) finish each module (or “lesson”); (2) write at least one essay response of 200 words or more for at least one simulation throughout the course; and (3) get a score of 6 out of 10 or better on the Final Exam.\\n\\nWhat resources will I need for this course?\\n\\nFor this course, all you need is an Internet connection, and the time to read and discuss the exciting materials available online.\\n\\nWhat is the coolest thing about this course?\\n\\nThe topics we will be discussing are ripped from the headlines.  The topics are often controversial and thought-provoking, and always exciting.","terrorism; criminal-justice; prosecution; crime; justice; law; international-relations; common-law; international-law; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6,7.9]","Arabic; Spanish","English","social-sciences","law","sQEO1tohEeSQryIAC46GNw"]
["1. Literacy","English","Introduction to English Common Law","University of London","Intermediate",14.2,4.77,"https://www.coursera.org/learn/intro-common-law","The common law of England and Wales is one of the major global legal traditions.\\n\\nThis MOOC will give you an introduction to this influential legal system including its history, constitutional background, sources and institutions. You’ll learn about the different ways in which laws are made and interpreted, the English court system and the increasing importance of European Union and human rights law. Now is an especially exciting time to be learning about English common law, given the potential changes that lie ahead in today’s political, economic and social environment – all these pose challenges to and opportunities for the law.\\n\\nEach week we’ll focus on one aspect of English common law, using video lectures, readings, discussion questions and activities to enable you to learn about and evaluate key issues. Whether undertaken as a standalone course, or as preparation for the University of London’s world-class LLB degree, you will find this course interesting and stimulating.\\n\\nPlease note that participation in or completion of this online course will not confer academic credit for University of London programmes.","common-law; political-science; english-language; legal-analysis; justice; learning; international-law; law; history; interpretation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.2,18.5]","Chinese; Spanish","English","social-sciences","law","736PrTvOEeeaawqep_smgg"]
["1. Literacy","International","Global Diplomacy: the United Nations in the World","University of London","Intermediate",10.3,4.71,"https://www.coursera.org/learn/global-diplomacy-un","The course offers a well-researched and broad-ranging primer to the United Nations system.  Consisting of an introduction to the complex UN family and its history, and a series of ‘snapshots’ of key UN functions, which are used to explore important UN themes and help learners develop important analysis, communication, and policy-based skills.\\n\\nThe course is aimed broadly at people interested in learning more about the United Nations system, assuming a level of interest but no necessary previous knowledge, whilst also offering offering sufficient up to date research and new critical perspectives that it will also be of interest to people with more expertise or academic familiarity with the topic as well. \\n\\nThe main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss UN affairs, and potentially lay the groundwork for greater engagement in future – either in civil society or in further study.","global; law; management; humanitarian; international-relations; international-law; communication; analysis; foreign-policy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.6,12.7]","Japanese","English","social-sciences","governance-and-society","fNeY-S8dEeaVZA5K9cHVCQ"]
["1. Literacy","Tech Startups","Legal Tech & Startups","IE Business School","Intermediate",16.3,4.48,"https://www.coursera.org/learn/legal-tech-startups","LegalTech is the reaction to the disruption that technology is having across all sectors of the economy. Considering that the legal sector is one of the most resistant to change, due to its conservative nature, we can see just how different the future will be. In this course, IE professor Marti Manent will guide you through the essential stages of this disruption in technology, giving you the key tools and ideas to consider when starting your online business. \\n\\nIn the course, Marti explains the key market trends that you will encounter and will provide you with a handy practical toolbox. The course features interviews with industry professionals as well as very motivating and interesting lectures that will help you open your mind and better understand everything in the course. Be part of this disruption that technology is having in the legal sector and join Professor Marti during this exciting new course.","management; legal-advertising; lean-startup; marketing; business-model; electronic-business; law; business-law; advertising; modeling","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.1,25]","NA","English","business","entrepreneurship","GPp8-jxTEea1eg6YQeunOw"]
["2. Upskill","American","American Contract Law II","Yale University","Intermediate",24.0,4.93,"https://www.coursera.org/learn/contracts-2","Course description: Contracts I & II provides a comprehensive overview of contract law in the United States. The course covers most of the key concepts found in a first year law school class. Each lecture is based on one or more common-law cases, integrating legal doctrines with policy discussions. The course also covers key sections from the Uniform Commercial Code (UCC), which governs the sale of goods. \\n\\nBy the end of the course, the learner should be able to understand: \\n\\nFormation defenses: how an otherwise valid contract can be void, including the statute of frauds, mistake, misrepresentation, duress, unconscionability, and illegality. \\nPerformance: the scope and content of a contractual obligation, including conditions, the duty of good faith, and the impracticability defense. \\nRemedies: the types of available remedies for a breach of contract, including various types of money damages and injunctive relief.","law; analysis; american-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.8,31.8]","NA","English","social-sciences","law","xiw1UkMvEeisIg4GWpprUg"]
["2. Upskill","American","American Contract Law I","Yale University","Intermediate",27.8,4.85,"https://www.coursera.org/learn/contracts-1","American Contract Law I (along with its sister course Contracts II) provides a comprehensive overview of contract law in the United States. The course covers most of the key concepts found in a first year law school class. Each lecture is based on one or more common-law cases, integrating legal doctrines with policy discussions. The course also covers key sections from the Uniform Commercial Code (UCC), which governs the sale of goods. \\n\\nBy the end of the course, the learner should be able to understand: \\n\\nFormation: how a valid and enforceable contract is created, including concepts such as offer, acceptance, consideration, and promissory estoppel.","common-law; acceptance; contract-a; american-law; learning; economy; arbitration; common-sense; law; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.2,35.7]","NA","English","social-sciences","law","dgW3wBsGEei_MQpZDN51wg"]
["2. Upskill","American","America's Unwritten Constitution","Yale University","Intermediate",19.5,4.8,"https://www.coursera.org/learn/unwritten-constitution","An introduction to basic techniques of constitutional interpretation.","integration-testing; learning; writing; documents; constitution; law; interpretation; doctrine; experience; critical-thinking","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,23.8]","Chinese","English","social-sciences","law","aAo9tS8NEeWv_w7cMMH1Uw"]
["2. Upskill","American","America's Written Constitution","Yale University","Intermediate",21.1,4.67,"https://www.coursera.org/learn/written-constitution","An introduction to the main themes of the American Constitution—popular sovereignty, separation of powers, federalism, and rights.","principle; constitution; thought; analysis; law; american-law; interpretation; learning; history; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.7,25.1]","NA","English","social-sciences","governance-and-society","_aXKkBnJEeW9dA4X94-nLQ"]
["2. Upskill","American","Reducing Gun Violence in America: Evidence for Change","Johns Hopkins University","Beginner",18.3,4.49,"https://www.coursera.org/learn/gun-violence","Reducing Gun Violence in America: Evidence for Change is designed to provide learners with the best available science and insights from top scholars across the country as well as the skills to understand which interventions are the most effective to offer a path forward for reducing gun violence in our homes, schools, and communities.\\n\\nThrough this course, you will learn how to:\\n1.\\tAppreciate the scope of gun violence and the importance of considering the issue across a variety of contexts.\\n2.\\tDescribe the role of law and policy in addressing gun violence at the federal, state, and local levels.\\n3.\\tCompare the effectiveness of gun violence policies and highlight the importance of changing the way we talk about gun                      \\n        violence.\\n4.\\tDescribe state standards for civilian gun carrying and use and how those standards affect crime and violence.\\n5.\\tDescribe how firearm design is regulated, the effective and just enforcement of firearm laws, and strategies for reducing \\n        police-involved shootings.\\n6.\\tIdentify and explain evidence-based programs to reduce gun violence and understand public opinion on gun policy.\\n\\nAs a student of this course, it’s important to recognize that you are part of an international learning community. We understand that gun violence can be a difficult issue to discuss and we all have our own set of opinions and beliefs. However, we ask you to please remember that gun violence is something that affects every person differently. It’s important to understand that this course is intended to generate productive and meaningful conversation. \\n\\nWe ask students of this course to abide by the rules outlined and expected of you by Coursera’s Code of Conduct Policy. Please help us promote a healthy, productive, and sustainable learning environment for all and practice the following principles:\\n\\nBe polite.\\n\\tTreat your fellow learners with respect.\\n\\tInsulting, condescending, or abusive words will not be tolerated.\\n\\tDo not harass other learners.\\n\\tPolite debate is welcome as long as you are discussing the ideas or the evidence, not attacking the person.\\n\\nBe sensitive.\\n\\tRemember that Coursera is a global forum with learners from many different cultures and backgrounds.\\n\\tBe kind, thoughtful, and open-minded when discussing race, religion, gender, sexual orientation, or controversial topics \\n        since others likely have differing perspectives.\\n\\nPost appropriate content.\\n\\tContent that violates the Honor Code or Terms of Service is not permitted.\\n\\tYou may not post inappropriate (e.g., pornographic or obscene) content.\\n\\tDo not post copyrighted content.\\n\\tDo not advertise or promote outside products or organizations.\\n\\tDo not spam the forums with repetitive content.\\n\\nPlease note that violations of Coursera’s Code of Conduct, Honor Code, or Terms of service are not permitted and may result in:\\n\\tDeletion of posted content.\\n\\tRemoval from the course.\\n\\tLosing access to the Coursera site.\\n\\n*It is important to also note that certain policies and laws mentioned in this course are likely to change and develop over time. As a result, we understand that course content may need to be updated to reflect such changes. While we will strive to do this as quickly as possible, we appreciate your patience. All information included in the course is reported accurately at the time of recording and we intend to update lectures as soon as possible and to the best of our ability.\\n\\nThe development of this course was made possible through generous financial support provided by the David and Lucile Packard Foundation, an organization committed to improving the lives of children, enabling the creative pursuit of science, advancing reproductive health, and conserving and restoring the earth’s natural systems.","law; violence; scaled-agile-framework; emotion; nonsense; emotions; critical-thinking; gun-violence","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.8,22.2]","NA","English","life-sciences","public-health","YZB4KwRgEemMVw7xXzWiVg"]
["2. Upskill","American","American Deaf Culture","University of Houston System","Intermediate",5.5,4.34,"https://www.coursera.org/learn/deaf-culture","This is a six-week course providing a historical overview of the American Deaf community and its evolving culture.  Theoretical frameworks from sociology are explored.  Deafness as a culture and not a disability is explained as participants are guided into the world of Deaf culture.","learning; awareness; law; sign; deaf-culture; american-sign-language; digital-signature; language; sign-language; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.3,6.5]","NA","English","language-learning","learning-english","-cU13ARSEee5kw7fsxuOhg"]
["2. Upskill","Constitutional","Chemerinsky on Constitutional Law – Individual Rights and Liberties","University of California, Irvine","Beginner",22.4,4.91,"https://www.coursera.org/learn/chemerinsky-individual-rights","Chemerinsky on Constitutional Law: Individual Rights and Liberties will highlight the construction and interpretation of the U.S. Constitution through the centuries with an emphasis on protections of individual liberties and the evolution of equal protection. You'll learn the history behind the Constitution, cases that formed important precedent, and how changes in interpretation have been dependent on shifts in cultural and political climate as well as the composition of the Supreme Court.\\n\\nIn this course we will investigate the protection of individual rights and liberties and take a look at what rights are and are not protected and investigate several important shifts in jurisprudence. We'll begin by examining the structure of the Constitution's protection of individual rights. We'll then examine the circumstances under which, various rights and liberties can be regulated by the federal, state, and local government. We'll examine when the government can permissibly treat people unequally and when it can't. In our final two lectures, we'll take a close look at what is probably the most famous amendment to the Constitution, the First Amendment.\\n\\nJoin me as we look at the questions both raised and answered by the Constitution and those that interpret it!\\n\\nBy the end of this course, you should be able to:\\n\\n- Describe the individual liberties protected by the Constitution and account for the history and structure of their protection\\n\\n- Illustrate compromises found in the Constitution by citing examples and historic background\\n\\n- Articulate the importance of key cases such as Brown v. Board, Lemon v. Kurtzman, and Lochner v. New York\\n\\n- Explain how the outcome of cases is often dependent upon the current cultural and political climate as well as the composition of the court by citing particular cases and important shifts in the court's jurisprudence\\n\\n- Assess the relative suitability of various approaches to constitutional interpretation and analysis","phenomenon; writing; interpretation; constitution; analysis; law; listening; learning; art-history; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.1,28.7]","Chinese","English","social-sciences","law","Fvjz5_3aEeWosAqqqSjfcQ"]
["2. Upskill","Constitutional","Constitutional Struggles in the Muslim World","University of Copenhagen","NA",42.8,4.78,"https://www.coursera.org/learn/muslim-world","Learn what motivates the restive Muslim youth from Tunis to Tehran, what political positions Islamists from Mali to Chechnya are fighting for, where the seeming obsession with Islamic law comes from, where the secularists have vanished to, and whether it makes sense to speak of an Islamic state.\\n\\nSince 2009 there has been a renewed wave of popular unrest sweeping throughout much of the Muslim world. Secular, but generally repressive and inefficient autocracies have come under pressure or been swept aside entirely. At the same, the various Islamic Republics have not fared much better, but been convulsed by internal unrest, economic and social decline. Throughout the Muslim lands, existing constitutional arrangements are being challenged, often very violently.\\nThis course is a survey of the constitutional ideas and institutions that have developed since the mid 19th century throughout predominantly Muslim countries, but its focus will lie on the actors that have dominated this discourse and shaped its outcomes. We will look at the large body of classical writings on the Islamic state only in so far as it is necessary to understand the contemporary debate, but concentrate on the legal and political developments of the 20th and 21st centuries.\\n\\nThree common themes will characterise the course: \\n\\nWe privilege the study of the legal and social reality and seek to highlight where it is at odds with dogmatic stipulations, be they religious or constitutional. \\n\\nWe seek to illustrate the practical tensions posed by limited administrative capabilities and political legitimacy that resulted from the incomplete reception of modern bureaucratic statehood. \\n\\nWe seek to examine how popular dissatisfaction with the practical performance of Muslim governments has fuelled demands for greater accountability under the guise of cultural authenticity. \\n\\nUltimately, the course aims to equip participants to better understand Muslim contemporary discourse about the res publica, better contextualise the demands for religious law in public life, and to better ascertain the theoretical and practical feasibility of postulated religious alternatives to the still-dominant secular model of governance.","critical-thinking; constitution; middle-east; economy; religion; international-relations; history; india; analysis; law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[32.8,45]","Spanish; Arabic; French","English","social-sciences","law","_ehbrDx9EeWFSA6UPWxRyQ"]
["2. Upskill","Constitutional","Chemerinsky on Constitutional Law - The Structure of Government","University of California, Irvine","Beginner",24.3,4.7,"https://www.coursera.org/learn/chemerinsky-on-constitutional-law-structure-of-government","This course will highlight the construction and interpretation of the U.S. Constitution through the centuries. You'll learn the history behind the Constitution, cases that formed important precedent, and how changes in interpretation have been dependent on shifts in cultural and political climate as well as the composition of the Supreme Court.\\n\\nWe'll start with an overview of the Constitution where we'll consider questions such as \"Why the Constitution?\" and \"What function does the Constitution serve?\" Next we'll examine how the Constitution and its subsequent interpretation established the powers of the federal, legislative, and judicial branches of government and allocated powers to the states.\\n\\nJoin me as we look at the questions both raised and answered by the Constitution and those that interpret it!\\n\\nBy the end of this course, you should be able to:\\n\\n- Describe how the structure of the United States government has been shaped by both the text of the Constitution and by subsequent interpretation and practice of political actors in all branches of government\\n\\n- Illustrate compromises found in the Constitution by citing examples and historic background\\n\\n- Articulate the importance of key cases such as Marbury v. Madison, McCullough v. Maryland, and Lochner v. New York\\n\\n- Explain how the outcome of cases is often dependent upon the current cultural and political climate as well as the composition of the court by citing particular cases and important shifts in the court's jurisprudence\\n\\n- Assess the relative suitability of various approaches to constitutional interpretation and analysis","law; integration-testing; constitution; running; learning; undecidable-problem; ordered-pair; chinese-language","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.2,30.2]","Chinese","English","social-sciences","law","YXDFz6KXEeWM5RIHOLu8Dw"]
["2. Upskill","Corporate","Industrial Organization: Strategy and Competition in Business","National Research University Higher School of Economics","Intermediate",38.6,4.89,"https://www.coursera.org/learn/industrial-organization","Industrial Organization is the area of economics that studies the markets as institutions, the state of competition and strategic interaction among firms, the industrial policy and the business decisions firms make within the market framework. The course looks at the markets from three different perspectives: the economic theory, the applied business perspective and the institutional and legal perspective. The focus of the course is split equally between the economic theory and business perspective but there is a significant legal component incorporated in various topics. The course includes economic modeling, game theory, numerous real life examples and several case studies. We explore interesting topics of market organization such as negotiations, antitrust, networks, platforms, electronic markets, intellectual property, business strategies, predation, entry deterrence and many others.\\n\\nThe basic objective of the course is to enable the student to understand the structure of markets and the nature of strategic competition. Knowledge in this course will be valuable for the students in acquiring managing and governance skills, enriching their understanding of the institutional framework of business, and improve their analytical ability in negotiations. \\n\\nPrerequisites: The course requires understanding of basic economic modeling, knowledge of intermediate microeconomics (especially production/cost theory), knowledge of basic concepts and methodologies of game theory, intermediate econometrics and basic calculus.\\n\\nDo you have technical problems? Write to us: coursera@hse.ru","chemical-engineering; intellectual; law; econometrics; industrial-engineering; operations-research; game-theory; organizational-psychology; enabling; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23.1,55.4]","NA","English","business","business-strategy","mtT9uoZDEee5sQp-c2T9xg"]
["2. Upskill","Corporate","Copyright Law in the Music Business","Berklee College of Music","Beginner",13.9,4.66,"https://www.coursera.org/learn/copyright-law-music-business","In this course taught by E. Michael Harrington, students will learn the basis for copyright including what is and is not covered by copyright law. This course will help clarify what rights artists have as creators as well as what the public is free to take from their work. Students will also learn what to do if someone copies their work and what to do if they are accused of copying someone else. Finally, the course will discuss how technology has changed copyright for the better (and worse) and how copyright laws may change in the coming years.","law; entertainment-law; history; process; analysis; music; copyright; art-history; electronic-music; integration-testing","Music Business",3.0,"https://www.coursera.org/specializations/music-business","This specialization will give you the knowledge, both theoretical and practical, to launch your career in the music business as an artist, manager, agent, and/or producer. You will begin with Music Business Foundations, which provides a broad overview of the music business, including a history of the industry as well as the various roles that exist and how they relate to one another. You will learn how record contracts are structured as well as a basic overview of copyright law. From there, you will complete Navigating the Music Business, designed for both musical artists and those who wish to work with artists. This course will help you identify the unique elements of artist identity and provide you with the practical business know-how you’ll need to build a fanbase and successfully run a crowdfunding campaign. Next, you will complete Copyright Law in the Music Business, which gets to the heart of compensation and revenue in the music business. You will have the opportunity to unpack high-profile copyright law cases involving world-renowned artists, gaining a better understanding of how to leverage the law to their benefit. Finally, you will complete Creativity and Entrepreneurship, in which you’ll learn what it takes to be an effective entrepreneur in the music business, learning skills that are essential for thriving in an ever-changing industry.","[4.3,19.7]","NA","English","business","business-strategy","zjRGJ0cJEeiMOgpwCe19Ug"]
["2. Upskill","Corporate","Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulation","University of Illinois at Urbana-Champaign","Intermediate",14.0,4.81,"https://www.coursera.org/learn/corporate-commercial-law-part2","This course is the second course in a two-part series on corporate and commercial law. In this part, we focus on three main topics: business organizations, business financing, and governmental regulation. In the first module, we discuss the characteristics of a number of the most common forms of business entities, such as corporations and LLCs. Module two is devoted to debtor-creditor relationships, including bank financing, debt financing, secured transactions, and bankruptcy. We wrap up the course with two modules that focus on the most important aspects of governmental regulation, including the process by which administrative agencies make rules, and the regulation of anti-competitive behavior and securities transactions.","corporate-law; partnership; business-law; bankruptcy; corporate-bond; initial-public-offering; law; competition-law; capital-market; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.2,17.1]","NA","English","business","business-essentials","Gjz1aNrOEeew_BLWWJGXIA"]
["2. Upskill","Corporate","Protecting Business Innovations via Patent","The Hong Kong University of Science and Technology","Beginner",9.9,4.81,"https://www.coursera.org/learn/protect-business-innovations-patent","Protecting Business Innovations via Patent\\n\\nWatch Course Overview:  https://youtu.be/mUja4iwbrTE\\n\\nThis course assumes no prior knowledge in law, business or engineering.  However, students with backgrounds in all three areas will find useful concepts or ideas in the course on how to protect business innovations using patents.  The approach taken in this course is practical and commercial rather than theoretical. A combination of lectures and case studies help to illustrate the concepts and make the course more interesting.   \\n\\nAfter completing this course, students should be able to understand how patents are issued and protect innovations, including: What is a patent? What do they protect? How do we get a patent? Where are patents valid? How much do they cost? \\n\\nIn addition to basic concepts the course also deals with advanced topics such as: software patents, business process patents, patenting life, patent trolls and multiple case examples of large and small companies using patents and patent lawsuits. \\n\\nWe also expect you to have fun in this course.  So go forth and enjoy!\\n\\nOther courses in the Protecting Business Innovations series:\\n1. Copyright:     https://www.coursera.org/learn/protect-business-innovations-copyright\\n2. Trademark:  https://www.coursera.org/learn/protect-business-innovations-trademark \\n3. Patent:          https://www.coursera.org/learn/protect-business-innovations-patent\\n4. Strategy:       https://www.coursera.org/learn/protect-business-innovations-strategy","intellectual-property; business-process; trademarks; utility; service-innovation; law; patent-law; intellectual; software; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,11.9]","Chinese","English","business","business-strategy","98ToAjCQEeeUJAp8qPNzqg"]
["2. Upskill","Corporate","Corporate & Commercial Law I: Contracts & Employment Law","University of Illinois at Urbana-Champaign","Intermediate",15.7,4.8,"https://www.coursera.org/learn/corporate-commercial-law-part1","This class deals with the business law topics that appear on the CPA exam: Agency, Contracts, Debtor-Creditor Relationships, Government Regulation of Business, and Business Organizations. Students will gain an understanding of how these areas of the law affect businesses and their operations, with an eye on preparation for the business law portions of the REG section of the CPA exam. By the end of the class, students will be able to identify the legal principles that govern various business situations and apply those principles to an issue to determine the outcome when the law is applied to the facts of a scenario.","labour-law; materials; smart-contract; principle; law; business-law; employment; learning; corporate-bond; corporate-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.1,20.2]","NA","English","business","business-essentials","MWvdwMVpEeeoqQp801tMaA"]
["2. Upskill","Corporate","Making Successful Decisions through the Strategy, Law & Ethics Model","University of Michigan","Intermediate",16.0,4.75,"https://www.coursera.org/learn/strategy-law-ethics","Successful decision making is based on three key pillars:  strategy, law and ethics.  After taking this course you will be able to use a practical framework based on these three elements to make successful business, personal and leadership decisions.  \\n\\nThis course opens with an example of a leadership decision:  President Barack Obama’s strategic decision to capture or kill Osama bin Laden.  The course then shows how the three elements can be used to prevent a tragedy when making a personal decision.  \\n\\nThe rest of the course focuses on making successful business decisions.  In essence, to achieve business and career success, you must create value (strategy) and manage risk (law) in a responsible manner (ethics). \\n\\nBecause the Law Pillar plays a central role in the three pillar model, the course includes practical legal briefings (with many examples) on the key elements of business success.  Specifically, the course shows you how to: \\n\\n•\\tattract the best employees, \\n•\\tdevelop successful products, \\n•\\tcreate new business models, \\n•\\tprotect intellectual property, \\n•\\tcreate contracts that achieve business goals, and \\n•\\tuse dispute resolution processes that improve business relationships. \\n\\nUsing a global perspective, the course also provides an introduction to international business culture for learners from the United States, and an introduction to the U.S. business culture for learners from outside the U.S.","intellectual; product-business; decision-making; intellectual-property; product-liability; law; dotproperties; business-law; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14,21.6]","NA","English","business","business-essentials","3Mf1LkHGEeWpogr5ZO8qxQ"]
["2. Upskill","Corporate","Protecting Business Innovations via Copyright","The Hong Kong University of Science and Technology","Intermediate",14.0,4.72,"https://www.coursera.org/learn/protect-business-innovations-copyright","Protecting Business Innovations Via Copyright\\n\\nWatch Course Overview:  https://youtu.be/mUja4iwbrTE\\n\\nIntellectual property rights (IPR) has a great impact on innovation development and society. In Science, Engineering, and Business, we seek to create wealth through innovation in products, designs, manufacturing processes, and business systems or models. However, innovation leaders often FAIL to benefit from their discoveries and inventions when they are unable to adequately protect those innovations. Learn the basics of copyright, copyright infringement, derivative works/parody and copyright related to software.\\n\\nThis course provides learners with an understanding of Copyright law and how it can be used to protect business innovation. The course focus is on protecting innovations with copyright as one of several tools that can be used by companies and individuals to protect creative innovations.  In additional to learning about how copyright works in theory, we will also discuss situations in which copyright might not be effective in protecting innovations, and will focus on the legal issues involved from a practical business perspective rather than from a purely legal viewpoint.  This course is one part of a four course series focusing on protection of business innovations using copyright, patent, trademark and strategy, and these four courses may be taken in any order that is most beneficial to students interested in learning about protecting innovation.\\n\\nOther courses in the Protecting Business Innovations series:\\n1. Copyright:     https://www.coursera.org/learn/protect-business-innovations-copyright\\n2. Trademark:  https://www.coursera.org/learn/protect-business-innovations-trademark \\n3. Patent:          https://www.coursera.org/learn/protect-business-innovations-patent\\n4. Strategy:       https://www.coursera.org/learn/protect-business-innovations-strategy","dotproperties; innovation; copyright; derivative; service-innovation; intellectual-property; software; copywriting; legal-liability; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.7,18.1]","Chinese","English","business","business-essentials","VSaBnDCQEees8hJiKRB1Tg"]
["2. Upskill","Criminal","Hot Topics in Criminal Justice","Vanderbilt University","Beginner",23.2,4.67,"https://www.coursera.org/learn/hot-topics-criminal-justice","The American criminal justice system is in need of reform. We incarcerate too many people. We pay insufficient attention to scientific advances that can help separate out the most and least culpable and dangerous. We grant the police far too much power to use force and technological surveillance. \\n\\nAs a way of thinking about dealing with these problems, this course examines two over-arching issues: What should we do with people who have committed crime, and how should we identify who they are? On the first issue, we will look closely at the nature and causes of mass incarceration, the death penalty, the lawfulness and usefulness of preventive detention and risk assessment, and the role of the insanity defense and neuroscience in assessing responsibility for crime. On the second issue, we will explore the laws regulating the police use of force, the growing role of technology and big data in facilitating police surveillance and detection and deterrence of crime, and the remedies for police malfeasance, including the exclusionary rule and damages actions. \\n\\nThe overall goal is to help thinking individuals assess today’s criminal justice system and consider ways of making it better. After completing this course, participants should be able to: \\n\\n1. Describe the mass incarceration problem in the United States and why it might exist; \\n2. Suggest ways of reducing incarceration; \\n3. Criticize risk assessment instruments and their use in preventive detention schemes; \\n4. Discuss the pros and cons of the death penalty, the exclusionary rule, and the insanity defense; \\n5. Analyze the relevance of neurological evidence in a criminal case;\\n6.  Identify some of the reasons innocent people are wrongly convicted;\\n7. Elaborate on the role race plays at sentencing and in police use of force, stop and frisk and consent searches and \\n8. List the types of surveillance technology available to police and the constitutional principles that govern their use.","american-law; crime; neuroscience; law; criminal-justice; death; justice; social-justice","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.9,31.8]","NA","English","social-sciences","law","g3hWErEzEeid7grmrzb50g"]
["2. Upskill","Education","Copyright for Educators & Librarians","Duke University","Beginner",15.8,4.74,"https://www.coursera.org/learn/copyright-for-education","Fear and uncertainty about copyright law often plagues educators and sometimes prevents creative teaching.  This course is a professional development opportunity designed to provide a basic introduction to US copyright law and to empower teachers and librarians at all grade levels. Course participants will discover that the law is designed to help educators and librarians.","law; copyright; materials; analysis; education; thought; learning; need; semigroup-action; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.7,18.6]","NA","English","social-sciences","education","487jV_KLEeS5LyIAC3lSsg"]
["2. Upskill","Ethics","Ethics, Technology and Engineering","Eindhoven University of Technology","Beginner",27.0,4.56,"https://www.coursera.org/learn/ethics-technology-engineering","There is an increasing attention to ethics in engineering practice. Engineers are supposed not only to carry out their work competently and skilfully, but also to be aware of the broader ethical and social implications of engineering and to be able to reflect on these.  According to the Engineering Criteria 2000 of the Accreditation Board for Engineering and Technology (ABET) in the US, engineers must have “an understanding of professional and ethical responsibility” and should \"understand the impact of engineering solutions in a global and societal context.” \\n\\nThis course provides an introduction to ethics in engineering and technology. It helps engineers and students in engineering to acquire the competences mentioned in the ABET criteria or comparable criteria formulated in other countries. More specifically, this course helps engineers to acquire the following moral competencies:\\n\\n- Moral sensibility: the ability to recognize social and ethical issues in engineering;\\n- Moral analysis skills: the ability to analyse moral problems in terms of facts, values, stakeholders and their interests;\\n- Moral creativity: the ability to think out different options for action in the light of (conflicting) moral values and the relevant facts;\\n- Moral judgement skills: the ability to give a moral judgement on the basis of different ethical theories or frameworks including professional ethics and common sense morality;\\n- Moral decision-making skills: the ability to reflect on different ethical theories and frameworks and to make a decision based on that reflection.\\n\\nWith respect to these competencies, our focus is on the concrete moral problems that engineers encounter in their professional practice. With the help of concrete cases is shown how the decision to develop a technology, as well as the process of design and production, is inherently moral. The attention of the learners is drawn towards the specific moral choices that engineers face. In relation to these concrete choices learners will encounter different reasons for and against certain actions, and they will discover that these reasons can be discussed. In this way, learners become aware of the moral dimensions of technology and acquire the argumentative capacities that are needed in moral debates with stakeholders (e.g. governments, users, and commercial business departments).","ethics; stakeholder-theory; law; reason","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.9,45.2]","NA","English","physical-science-and-engineering","research-methods","P480mTxiEea3LQ6P_ZHapQ"]
["2. Upskill","European","EU policy and implementation: making Europe work!","Universiteit Leiden","Intermediate",46.1,4.5,"https://www.coursera.org/learn/eu-making-europe-work","People have become more critical of EU policy and often seem to prefer local policy solutions in response to globalisation problems. How do you experience EU policy? Does it help? And if not, how can we change this? In this course, we learn how the European Union prepares and decides on policy, and how policy is transferred to member states and implemented by various authorities, including regional and local governments.  We discuss the challenges of the European multi-level governance structure. We also focus on the main causes of policy failure or success.  On this journey, we focus on actual policy and present the views of various experts: how easy is it to establish yourself in another EU-country? How do governments make sure that the air you breathe is clean? And who is responsible?\\n\\nYou will be able to do research together in your own local setting. Research on implementation in which you can make comparisons between different countries or areas. If you live outside the EU, this is not a problem. We have developed assignments in such a way that you can do research in your area and compare your findings with others. \\n\\nThis MOOC has been rated as one of the best MOOCs of 2017 and is currently in the Top 50 MOOCs of All Time of Class Central\\n\\nSo, are you curious? Please join: 'EU policy and implementation: making Europe work'. Watch our trailer video at https://www.youtube.com/watch?v=n3nSN9R3VR4","integration-testing; policy-analysis; process; law; environmental-law; science-policy; thought; impact-assessment; decision-making; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[16.8,66.5]","NA","English","social-sciences","governance-and-society","_OZnMzM1EeaFHgo3JFU79w"]
["2. Upskill","European","Understanding Europe: Why It Matters and What It Can Offer You","HEC Paris","NA",27.1,4.45,"https://www.coursera.org/learn/europe","Regardless of where you live, the European Union not only affects your life, but may also transform it. By learning how Europe works, a new world will open up to you and \\ndiscover new jobs you never heard of.\\n\\nThe European Union has a large, yet often unnoticed, impact on many aspects of everybody’s life. We will analyze what the EU is doing for YOU regardless of where you live. We will also look at what YOU can do for and in Europe.\\n\\nWhether you are traveling, eating, working, doing business, shopping, surfing the Internet or breathing, all these activities are largely shaped by the EU.  As a result no global citizen, business leader, lawmaker, lobbyist or student can effectively operate in Europe or in the world without a solid understanding of this unique laboratory of integration. \\n\\nWhile the EU is often depicted as a monstrous bureaucratic creature, condemned to irrelevance by the emerging economies, in 50 years it accomplished what other countries took centuries to realize. The EU remains the most accomplished experiment of economic, social and political integration in human history.\\n\\nGiven its inherent complexities, this Course aims at empowering you on what Europe can offer and will enable you to discover jobs and opportunities you were not aware of. Indeed, throughout the whole course, participants will be confronted with real-life examples of EU action. EU affairs professionals will share their personal EU experiences and tell us about their EU jobs. You will also be able to interact with the instructor and other participants, share your opinions, question the instructor’s assumptions and hence shape the course’s content.","obsolescence; law; materials; international-relations; critical-thinking; affair; international-law; english-language; integration-testing; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17,39.6]","French","English","social-sciences","governance-and-society","hSFk2864EeS_ZiIACzuJog"]
["2. Upskill","European","Geopolitics of Europe","Sciences Po","Beginner",11.8,4.29,"https://www.coursera.org/learn/geopolitics-europe","Geopolitics of Europe offers a dynamic program on both tensions and issues within the European Union, as well as its interactions with the rest of the world.\\nThrough maps, iconography, videos, computer graphics and role playing, the Mooc renders the main geopolitical issues appropriate to Europe while focusing on its representations around the world.\\nDefinitely multi-disciplinary, this Mooc offers the learners a real tool box built up through a combination of History, Geopolitics, Economics, Political science, Geography and Law.\\n\\n\\nFormat :\\nThe pedagogical program is both progressive and modular. It is composed of seven thematic blocks. Each block has a different scale and view point. Even though the main issue exploration in each block is thought as free navigation, each block remains marked out by specific steps : a mapping situation scenario, the study of a documentary corpus, a focus on the national perceptions, as well as an emphasis on the news.\\nPlease notice that some very limited content will only be available in French.\\nThe knowledge acquired in the first four blocks can then be assessed through a quiz and put into practice through the final serious game : a European scenario, a mission, and decisions to make...!\\nBlock number seven offers new analysis that will enable you to understand the latest events of the year 2016.","foreign-policy; history; economics; international-relations; law; political-science; analysis; risk; political-risk; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,13.4]","NA","English","social-sciences","governance-and-society","4weFr0N-EeaNmhKFnqHOVQ"]
["2. Upskill","European","Cross-border road transport in EU law context","Erasmus University Rotterdam","Advanced",15.0,5.0,"https://www.coursera.org/learn/transport-eu-law","Have you ever wondered which legal rules are applicable to cross-border EU road transport? Are you interested in the issues revolving around EU employment law in the international road transport sector? Then, on behalf of the University of Antwerp, Erasmus University Rotterdam, University of Gdańsk, University of Luxembourg and Tilburg University, we would like to welcome you to this MOOC on Cross-border Road Transport in EU law context. This MOOC is a part of the Erasmus + Project funded by the European Commission. In this MOOC, you will not only learn what the current legal framework is, but also, how it is applied in the road transport sector.\\n\\nAfter participating in this MOOC, you will be able to: \\n\\n1. Describe the basics of the process of European integration, in the light of the affirmation of the four fundamental freedoms \\nof the EU, European framework on private international law, the posting of workers, social security coordination and social dialogue.\\n2. Understand the interplay between Treaty provisions and secondary sources in the relevant fields.\\n3. Understand the frictions between the rationales underneath the legal provisions that govern EU social policy and labour law.\\n4. Analyse the most relevant case law of the European Court of Justice with an impact on the rights of international road transport workers.\\n5. Familiarise with official documents of the EU institutions and with academic and other relevant literature in this field.\\n6. Use, where relevant, the implementation of EU rules by Member States.\\n7. Solve cases dealing with the implementation of the applicable legal provisions.\\n\\nWe are offering you knowledge clips, memoranda that contain in-depth legal information on the different key topics, recommended readings and case law. Next to that after each module, you could test your acquired knowledge by taking a multiple choice test. In the end of this course, you will be able to apply everything you have learned in a practical manner by solving our sample guide case that resembles a real life scenario which challenges you to deal with everyday's problems faced in the cross-border road transport by practitioners in the field. \\n\\nBy participating in this MOOC, you will find answers to the following questions:\\n\\n1. Which of the four fundamental freedoms is applicable?\\n2. Which court has jurisdiction over a labour dispute and which law governs the cross-border employment relation?\\n3. How to apply and enforce the rules stemming from the Posting of Workers Directive?  \\n4. Which social security system is applicable and which social security institution is competent to levy the social security contributions? \\n5. What is the role of social partners in the cross-border road transport?\\n\\nIn the end it all makes SENSE! So let's go down this road together. Buckle up!","lux; international-law; justice; law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.4,21]","NA","English","social-sciences","law","zo70rNAiEee8ow4eUb1zXA"]
["2. Upskill","European","European Business Law: Understanding the Fundamentals","Lund University","Beginner",10.4,4.73,"https://www.coursera.org/learn/european-law-fundamentals","The European Union is one of the world’s largest and most important economies. This five week course is the first in a series of three that will provide students with an insight into European Business Law. The series ranges from considering the basic structures and principles of the European Union to focusing on various specialized areas of law. Each course will give the students an understanding of the laws and policies that regulate the internal market of European Union, as well as relevant case law and useful inputs from leading practitioners in the field. \\n\\nAt the end of this course series, you will have a basic understanding of how to:\\n\\n•\\tNavigate EU legal sources\\n\\n•\\tUnderstand relevant laws and regulations governing the internal European Union market\\n\\n•\\tApply the fundamental principles of EU law within the EU legal framework\\n\\n•\\tUtilize the rules of freedom of movement and their impacts on trade in the EU\\n\\n•\\tRelate EU law with national laws\\n\\n•\\tUnderstand EU policies and their influence on foreign trade and investment\\n\\n\\nAbout the Series\\n\\nIn the first course, Understanding the Fundamentals, we will examine the core structures and principles of the European Union as well as the main sources of law. In the second course, Doing business in Europe, we will focus on the main laws that regulate various aspects of establishing and running a business within the European Union. In the final course, Competing in Europe, we will go into more depth about how to compete on the internal market and protect your brand, product or invention. \\n\\nTo keep up to speed on the course series, visit our Facebook page at:\\n\\nhttps://www.facebook.com/eblmooc/\\n\\n\\nSyllabus and Format\\n\\nEach course consists of a number of modules where one module represents about one week of work. A module includes a number of lectures and readings, and finishes with a voluntary assessment – a quiz, a small peer graded assignment or a case law review. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. \\n\\nCourse I - Understanding the Fundamentals\\n\\nModule 1.\\tIntroduction to EU law\\nModule 2.\\tLegal Method and Sources \\nModule 3.\\tConstitutional Freedoms and Fundamental principles \\nModule 4.\\tFreedom of Movement \\nModule 5.\\tThe External Dimension \\n\\nCourse II - Doing Business in Europe \\n\\nModule 1. \\tMaking Business Transactions\\nModule 2. \\tEstablishing a Company\\nModule 3. \\tEmploying and Working in Europe\\nModule 4. \\tPaying Taxes and Complying with Environmental Standards \\nModule 5. \\tCase Clinic\\nModule 6. \\tResolving Cross-border Disputes \\n\\nCourse III - Competing in Europe\\n\\nModule 1. \\tTrademarks as Essential Assets\\nModule 2. \\tDefending Patents \\nModule 3. \\tCompetition: Illegal Agreements \\nModule 4. \\tCompetition: Abuse of Dominance and Mergers \\nModule 5. \\tAdvocacy and Legal Writing \\nModule 6. \\tSelling to the State and State Aid \\n\\n\\nLund University\\n\\nLund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. \\n\\nThe Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law.\\nThe faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching. \\n\\nThe Master’s programme in European Business Law provides an in-depth understanding of both the practical and the theoretical aspects of business law within the European Union. The programme provides both general and specific knowledge of the European Union legal framework, which is necessary for students intending to work as legal advisors or business decision-makers. The programme is delivered in English and is open to students with at least a three year degree in Law (Bachelor, LL.B, or equivalent) who want to specialise in European economic and business law.\\nThe MOOC course in European Business Law is a great course to start with for students intending to apply for the Master’s programme in European Business Law. Even though the MOOC course does not grant credits previous knowledge of the subject is considered upon admission to the master’s programme. For more information about the Master’s programme in European Business Law see https://www.law.lu.se/#!meb","legal-research; entry-point; market-economics; law; competition-law; principle; economics; business-law; foreign-policy; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.2,13.2]","NA","English","business","business-essentials","gSfwG3HcEeWLqw7zlLhRzQ"]
["2. Upskill","European","European Business Law: Doing Business in Europe","Lund University","Beginner",12.6,4.69,"https://www.coursera.org/learn/eu-law-doing-business","This six-week course titled Doing Business in Europe is the second in a series of three exploring some of the main business aspects of European Union law. Besides providing learners with a sound knowledge base of European laws and regulations relevant to establishing and managing a company within the European Union, the course also explores business considerations within a broader perspective by including inputs from leading law practitioners in the field. More specifically, the course discusses strategic and financial considerations within Company law, as well as Labour law issues such as restructuring enterprises, working conditions and handling crises situations. The course also examines other legal areas such as Tax law, Environmental law and Private International law, and how they tie in to doing business in Europe.\\n\\nAt the end of this course, you will have a basic understanding of how to:\\n\\n· Understand the relevant regulations governing the internal European Union market\\n\\n· Establish and run a company within the European Union\\n\\n· Employ staff and recognize workers’ rights and obligations\\n\\n· Comply with tax regulations and environmental standards\\n\\n· Set up agreements and resolve cross-border disputes\\n\\n· Successfully analyse EU case law and draft case reports\\n\\n\\nAbout the Series\\n\\nThe Lund series in European Business Law ranges from considering the basic structures and principles of the European Union to focusing on specialized areas of European Union law. The first course, Understanding the Fundamentals, examines the core structures and principles of the European Union. The third and final course, Competing in Europe, goes into depth concerning how to compete on the internal market and protect your brand, product or invention. All three courses can be taken independently or in sequence depending on your needs and preferences.\\n\\nTo keep up to speed on the course series, visit our Facebook page at:\\n\\nhttps://www.facebook.com/eblmooc/\\n\\n\\nSyllabus and Format\\n\\nEach course consists of a number of modules where one module represents about one week of work. A module includes a number of lectures and readings, and finishes with an assessment – a quiz or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. \\n\\nCourse I - Understanding the Fundamentals\\n\\nModule 1.\\tIntroduction \\nModule 2.\\tLegal Method and Sources \\nModule 3.\\tConstitutional Freedoms and Fundamental principles \\nModule 4.\\tFreedom of Movement \\nModule 5.\\tThe External Dimension \\n\\nCourse II - Doing Business in Europe \\n\\nModule 1. \\tMaking Business Transactions\\nModule 2. \\tEstablishing a Company\\nModule 3. \\tEmploying and Working in Europe\\nModule 4. \\tPaying Taxes and Complying with Environmental Standards \\nModule 5. \\tCase Clinic\\nModule 6. \\tResolving Cross-border Disputes \\n\\nCourse III - Competing in Europe\\n\\nModule 1. \\tTrademarks as essential Assets\\nModule 2. \\tDefending Patents \\nModule 3. \\tCompetition: Illegal Agreements \\nModule 4. \\tCompetition: Abuse of Dominance and Mergers \\nModule 5. \\tLegal Writing and Argumentation\\nModule 6. \\tSelling to the State and State Aid \\n\\n\\nLund University\\n\\nLund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. \\n\\nThe Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law.\\nThe faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching. \\n\\nThe Master’s programme in European Business Law provides an in-depth understanding of both the practical and the theoretical aspects of business law within the European Union. The programme provides both general and specific knowledge of the European Union legal framework, which is necessary for students intending to work as legal advisors or business decision-makers. The programme is delivered in English and is open to students with at least a three year degree in Law (Bachelor, LL.B, or equivalent) who want to specialise in European economic and business law.\\nThe MOOC course in European Business Law is a great course to start with for students intending to apply for the Master’s programme in European Business Law. Even though the MOOC course does not grant credits previous knowledge of the subject is considered upon admission to the master’s programme. For more information about the Master’s programme in European Business Law see https://www.law.lu.se/#!meb","regulatory-competition; international-law; business-law; labour-law; environmental-law; competition-law; law; analysis; taxation; tax-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.1,14.4]","Greek","English","business","business-essentials","DAJLDyr8EeWGvAojQA48rw"]
["2. Upskill","European","European Business Law: Competing in Europe","Lund University","Intermediate",14.4,4.69,"https://www.coursera.org/learn/eu-competition-law","About this Course\\n\\nThis six-week course titled Competing in Europe is the third in a series of three exploring some of the main business aspects of European Union law. Besides providing learners with a sound knowledge base of European laws and regulations, the series explores business considerations within a broader perspective by including inputs from leading law practitioners in the field. More specifically, the third course discusses how to compete on the internal market and protect your brand, product or invention. It includes legal disciplines such as Intellectual Property law (IP law), Competition law and specific branches within Public law, such as public procurement and state aid. \\n\\nAt the end of this course, you will have a basic understanding of how to:\\n\\n•\\tFind and understand relevant laws and regulations governing the internal European Union market\\n\\n•\\tProtect and defend a company’s products, brands and inventions by obtaining and licensing trademarks and patents\\n\\n•\\tCreate a competitive edge for a company and apply the basic principles of EU competition law\\n\\n•\\tConstruct and present a persuasive legal argument\\n\\n\\nAbout the Series\\n\\nThe Lund series in European Business Law ranges from considering the basic structures and principles of the European Union to focusing on specialized areas of European Union law. The first course, Understanding the Fundamentals, examines the core structures and principles of the European Union. The second course, Doing Business in Europe, examines legal areas such as Company law, Labour law, Tax law, Environmental law and Private International law, and how they tie in to doing business in Europe. All three courses can be taken independently or in sequence depending on your needs and preferences.\\n\\nTo keep up to speed on the course series, visit our Facebook page at:\\n\\nhttps://www.facebook.com/eblmooc/\\n\\n\\nSyllabus and Format\\n\\nEach course consists of a number of modules where one module represents about one week of work. A module includes a number of lectures and readings, and finishes with an assessment – a quiz or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. \\n\\nCourse I - Understanding the Fundamentals\\n\\nModule 1.\\tIntroduction \\nModule 2.\\tLegal Method and Sources \\nModule 3.\\tConstitutional Freedoms and Fundamental principles \\nModule 4.\\tFreedom of Movement \\nModule 5.\\tThe External Dimension \\n\\nCourse II - Doing Business in Europe \\n\\nModule 1. \\tMaking Business Transactions\\nModule 2. \\tEstablishing a Company\\nModule 3. \\tEmploying and Working in Europe\\nModule 4. \\tPaying Taxes and Complying with Environmental Standards \\nModule 5. \\tCase Clinic\\nModule 6. \\tResolving Cross-border Disputes \\n\\nCourse III - Competing in Europe\\n\\nModule 1. \\tObtaining Trademarks\\nModule 2. \\tDefending Patents \\nModule 3. \\tCompetition: Illegal Agreements \\nModule 4. \\tCompetition: Abuse of Dominance and Mergers \\nModule 5. \\tAdvocacy and Legal Writing \\nModule 6. \\tSelling to the State and State Aid\\n\\n\\nLund University\\n\\nLund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. \\n\\nThe Faulty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law.\\nThe faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching. \\n\\nThe Master’s programme in European Business Law provides an in-depth understanding of both the practical and the theoretical aspects of business law within the European Union. The programme provides both general and specific knowledge of the European Union legal framework, which is necessary for students intending to work as legal advisors or business decision-makers. The programme is delivered in English and is open to students with at least a three year degree in Law (Bachelor, LL.B, or equivalent) who want to specialise in European economic and business law.\\nThe MOOC course in European Business Law is a great course to start with for students intending to apply for the Master’s programme in European Business Law. Even though the MOOC course does not grant credits previous knowledge of the subject is considered upon admission to the master’s programme. For more information about the Master’s programme in European Business Law see https://www.law.lu.se/#!meb","law; legal-writing; intellectual-property; intellectual; competitive-advantage; competitiveness; competition-law; business-law; economics; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.9,19.6]","NA","English","business","business-essentials","OJ2qDir8EeWccAqzeA4VPw"]
["2. Upskill","Human Rights","Human Rights for Open Societies","Utrecht University","Intermediate",23.6,4.69,"https://www.coursera.org/learn/humanrights","Human rights are under pressure in many places across the globe. Peaceful protests are violently quashed. Voting is tampered with. And minorities are often excluded from decision-making. All of this threatens the ideal of an open society in which each of us can be free and participate equally. A solid protection of human rights is needed for an open society to exist and to flourish. But it is often an uphill battle to work towards that ideal. Equip yourself and learn more about what human rights are and how they work. \\n\\nIn this course, we will introduce you to one of the world’s most intricate human rights systems: the European Convention on Human Rights. You will see when and how people can turn to the European Court of Human Rights to complain about human rights violations. You will learn how the Court tries to solve many of the difficult human rights dilemmas of today. We will look, amongst other things, at the freedom of expression and demonstration, the right to vote, and the prohibition of discrimination. And we will address the rights of migrants, refugees, and other vulnerable groups. And, of course, we will see whether it is possible to restrict rights and if so under what conditions. You will even encounter watchdogs and ice cream in this course. We invite you to follow us on a journey of discovery into the European Convention!","critical-thinking; interpretation; history; law; thought; hand; decision-making; learning; principle; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.2,29.9]","Turkish","English","social-sciences","law","q3gL1le_EeaUyhJ5kBsouw"]
["2. Upskill","Human Rights","Children's Human Rights - An Interdisciplinary Introduction","University of Geneva","Beginner",16.5,4.68,"https://www.coursera.org/learn/childrens-rights","Drawing on the contributions of several academic disciplines including law, psychology, sociology, history, educational and health sciences, economy and anthropology, an interdisciplinary approach guides the student into a selection of critical issues concerning children’s rights. Participants will gain insight relative to the development of this specific human rights category, as well as to the evolution of the challenges faced by children over time and society’s efforts to respond. Successful international strategies and programs promoting children’s rights will be highlighted, as well as the role of key actors involved in international organizations working in this field. This open online course provides an overview of the most important features of children’s human rights. A central portion of the MOOC will consist of a presentation of the international and regional standards on children’s rights and the related international and regional judicial and quasi-judicial bodies designed to ensure their implementation. \\n\\nNo prerequisites or specific background is required to register for this MOOC. The course is conceived as an introductory level program, but participants, who wish to deepen their knowledge in the field of children’s rights, or already have some prior knowledge, will have access to additional reading material on a weekly basis. Participants who successfully complete the class activities and final assessment may request for a paid certificate of accomplishment signed by the Instructor and the main professors responsible for the program. However, no credits are awarded.\\n\\nThe course consists of seven topical modules distributed on 4 weeks. English is the only language of instruction.","childrens-rights; justice; child; psychologies; law; child-protection; international-law; psychology; humanitarian; child-psychology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.9,19.9]","Russian; Slovak","English","social-sciences","law","4ftx8FVoEeWoihJUyvgO6w"]
["2. Upskill","International","Inequality and Democracy","Utrecht University","Beginner",20.6,4.75,"https://www.coursera.org/learn/inequality-and-democracy","Most countries are getting more and more unequal. But the core of democracy is political equality: that everyone should have an equal say in how their country is run. Can we really expect these things to go together? Can people have equal political power while economic inequality grows and grows? Take this course and decide for yourself.\\n\\nYou’ll learn about:\\n•\\tThe rise of economic inequality\\n•\\tProperty rights and the corporation\\n•\\tDemocracy: Its value and history \\n•\\tCampaign finance and lobbying\\n•\\tTax avoidance and capital flight\\n•\\tAlternatives to our economic system\\n\\nThis is an interdisciplinary course combining:\\n•\\tPolitics\\n•\\tPhilosophy\\n•\\tEconomics\\n•\\tHistory\\n•\\tLaw\\n\\nOur course is for anyone looking for an accessible introduction to these topics. You might a concerned citizen, or someone who works in a field like politics, media, education, government or law. The difficulty level is similar to the first-year of an undergraduate degree. No prior knowledge is assumed.","art-history; history; law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[13.8,22.8]","NA","English","arts-and-humanities","philosophy","EZ_liJjNEemOxg5RMN8aOg"]
["2. Upskill","International","The Changing Global Order","Universiteit Leiden","Advanced",20.1,4.74,"https://www.coursera.org/learn/changing-global-order","How are international power relations changing and how can global peace and stability be maintained? This course familiarizes you with some main theories of international relations, shows how the global order is gradually changing and discusses how selected international and regional organizations contribute to the maintenance of global peace and security. You learn what research findings tell us in terms of the capacity of international organizations and actors to help prevent or stop violent conflict, what tools are used to negotiate agreements and how foundations for sustainable peace are best created. We will also focus on the role of the European Union in terms of diplomacy and efforts to prevent conflict, the North Atlantic Treaty Organization and the contribution of organizations such as the African Union to the prevention of conflict and war. We will study the United Nations Security Council and see in which ways its membership could be adapted to more accurately reflect the power relations of the current global order. Through quizzes and exercises testing your knowledge of these subjects, you will understand crucial concepts and get insights into how the academic study of international relations and international organization contributes to the search for global stability and peace in practice.","negotiation; international-relations; history; analysis; learning; law; global; arbitration; international-law; foreign-policy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.3,26.9]","French","English","social-sciences","governance-and-society","vwcoxOyuEeWLaBLI8fdMlw"]
["2. Upskill","International","Global Health and Humanitarianism","University of Manchester","Beginner",9.1,4.69,"https://www.coursera.org/learn/health-humanitarianism","Welcome to the Global Health and Humanitarianism MOOC. We are delighted to have you with us, and hope that the next six weeks will provide an interesting and thoughtful experience for you. \\n\\nWe hope the course will give you an overview of global health and humanitarianism in theory and in practice. These fields overlap, and are connected, in many significant ways. However, we have used three key themes to explore our subjects: each key theme will be discussed over two week blocks by specialist course lecturers, and supported by unique video perspectives by three keynote speakers who are leading specialists in the field. \\n\\n - Weeks 1 & 2: An Introduction to Global Health Dr Amy Hughes MBE;\\n - Weeks 3 & 4: Humanitarian Responses and Dilemmas Dr Tim Jacoby; \\n - Weeks 5 & 6: The Right to Humanitarian Assistance and the Responsibility to Protect Dr Kirsten Howarth.\\n\\nTo get the best out of the course we encourage you to try and set aside a few hours each week. This will give you time to work through videos, written materials and linked resources, and to get involved with discussion with other learners. We have provided a variety of different readings, resources and suggested activity based on the course content. Some will be essential to your understanding of the MOOC themes, and to assessment (if you have chosen to take part in assessment activity). Others will be for those of you who want to discover more about a particular subject or perspective, or to make your own study of global health or humanitarianism in action. Check through the weekly resources and content to find out which best suit your needs.\\n\\nDuring the course we will look at a range of different opinions and debates, linked to key themes and addressing ethics and moral issues. We hope you will be inspired and encouraged to explore and share your own perspectives, and those of others, throughout the course. Different viewpoints are essential to understanding global health and humanitarian practice.\\n\\nWe hope you enjoy the next six weeks finding out about Global Health and Humanitarianism, and look forward to hearing from you on the discussion boards.","decision-making; international-law; humanitarian; conflict-resolution; cultural-impact; law; global; thought; critical-thinking; analysis","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[3.8,11.4]","NA","English","social-sciences","governance-and-society","WCHihN8OEeWEQhLh6Nf2lQ"]
["2. Upskill","International","A Law Student's Toolkit","Yale University","Advanced",17.3,4.66,"https://www.coursera.org/learn/law-student","Whether you are an advanced law student looking to review the basics, or an aspiring law student looking for head start, this course will help you build the foundation you will need to succeed in law school and beyond. This course will introduce you to terminology, concepts, and tools lawyers and legal academics use to make their arguments. It will help you follow these arguments—and make arguments of your own.\\n\\nThis course consists of a series of short lectures and assignments. A reading list complements each lesson, providing you with a roadmap to help you explore the subject matter more deeply on your own. Although the lessons may cross-reference each other, they are modular in nature: you should feel free to approach them in whatever order fits your schedule, interests, and needs.","legal-writing; legal-terminology; legal-research; thought; law; integration-testing; learning; legal-analysis; analysis; writing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.8,22.9]","French; Chinese","English","social-sciences","law","fZN4SVfiEeWsGQ6fKrurvQ"]
["2. Upskill","International","International migrations: a global issue","Sciences Po","Beginner",16.0,4.61,"https://www.coursera.org/learn/international-migrations","ABOUT THE MOOC : INTERNATIONAL MIGRATIONS: A GLOBAL ISSUE\\nCatherine Wihtol De Wenden - CERI CNRS/SciencesPo\\n\\nABOUT THE COURSE\\nThe world is moving, but not all opinions and governments are willing to accept this poorly understood reality. The issue affects both states and the planet, in a process of globalization and of regionalization of migrations, and raises new questions for international relations, now including the South. This course aims at improving knowledge of the subject, addressing the key issues raised by international migration, and assessing the trends of tomorrow.\\n\\nFORMAT\\nThe MOOC lasts 7 weeks and focuses on various themes related to migration. It makes use of various types of document, such as maps, news articles, and scientific papers.\\n\\nThe text is in English and the videos are in French with English subtitles\\n\\nTEACHERS\\nCatherine Wihtol de Wenden is Research Director at the CNRS (CERI) and teaches at Sciences-Po. She has been a consultant to many international organizations, notably the Council of Europe and the Office of the High Commissioner for Refugees. From 2002 to 2008, she led the \"Migration\" research group of the International Sociological Association. Author of some 20 books, and having conducted many field investigations, she also teaches at the Sapienza University of Rome.\\n\\nCOURSE OUTLINE\\nSession 1: Globalization of migration\\nSession 2: Refugees and environmentally displaced persons\\nSession 3: Europe\\nSession 4: France and international migration flows\\nSession 5: Citizenship and migration\\nSession 6: Borders\\nSession 7: Right to mobility and global governance","global; principle; history; immigration-law; causality; law; international-law; learning; international-relations; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,24.4]","NA","English","social-sciences","governance-and-society","bALgYL4jEeejoA6gkzed5A"]
["2. Upskill","International","Global Health Security, Solidarity and Sustainability through the International Health Regulations","University of Geneva","Intermediate",19.6,4.91,"https://www.coursera.org/learn/international-health-regulations","Welcome to the MOOC \"Global Health Security, Solidarity and Sustainability through the International Health Regulations\". \\nWe are very excited to have you on board and hope you will enjoy the course!\\n\\nIn the coming 6 weeks, you will learn about the International Health Regulations (IHR), history of its creation and evolution, its major principles and implementation procedures, as well as challenges and future opportunities. We will talk about lessons learned from the previous epidemics and environmental disasters, and discuss possible future health threats and ways to respond to them in an efficient and timely manner. The goal of this MOOC is not only to promote knowledge on the IHR among the general public but also to help international health practitioners advance its implementation, contributing to the achievement of Sustainable Development Goals. \\n\\nOur MOOC «Global Health Security, Solidarity and Sustainability through the International Health Regulations» is highly transdisciplinary and involves prominent experts from more than 15 leading institutions worldwide, including academia, international organizations, and local governments. Along with traditional e-learning resources, it gives access to a highly innovative teaching tool - virtual Simulator IHR 3.0 - a serious game where you can practice managing health crises from different perspectives. No matter which country you come from, this MOOC is free and open for anyone interested in learning more about such a powerful legal mechanism as the IHR.\\n\\nEvery week, you will get access to a new Module which includes a series of video lectures, accompanied by a list of recommended readings to deepen your knowledge on the proposed topic. Every module will have a number of practice exercises, such as in-video questions and practice quizzes based on the video lectures and readings, and a graded quiz to sum up everything that you've learned. At the end of the course, you will be asked to take a graded final quiz that you will need to complete (as well as each Module's graded quizzes) in order to pass the course and earn a Certificate if you chose this option at enrolment.\\n\\nWe encourage you to use Discussion Prompts and forums to discuss the course material with fellow students enrolled in the MOOC. You can greatly contribute to the learning process by posting your questions, commenting, or sharing your personal experiences and examples from your countries.\\n\\nThis MOOC was produced jointly by the University of Geneva (Switzerland), Centre Virchow-Villermé for Public Health Paris-Berlin, Université Paris Descartes (France) and ANEO in close collaboration with the World Health Organization Headquarters (Geneva, Switzerland) and WHO Regional Office for the Eastern Mediterranean (Cairo, Egypt), with the financial aid of the Agence Nationale de la Recherche (France), UNIGE and WHO.\\n\\nWe wish you good luck with the MOOC and look forward to seeing you in our learning community!","security; epidemics; health-law; epidemic; law; public-health; public-health-law; securities-finance; sustainability; finance","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.7,26.7]","NA","English","life-sciences","public-health","0Nl3TFCWEemZQg5AxGAtVg"]
["2. Upskill","International","International Humanitarian Law in Theory and Practice","Universiteit Leiden","Intermediate",19.0,4.84,"https://www.coursera.org/learn/international-humanitarian-law","“International Humanitarian Law in Theory and Practice” is the first MOOC of the Kalshoven-Gieskes Forum on International Humanitarian Law, which is the platform within the Grotius Centre for International Legal Studies of Leiden University for the research, teaching and dissemination of international humanitarian law (IHL). \\n\\nIn this course, Prof. Robert Heinsch, Dr. Giulia Pinzauti and Dr. Emma Irving will give you a deep insight into the rules that govern armed conflict, and aim to mitigate human suffering on the battlefield. You will explore the why and how of IHL, followed by the different types of conflict. In no time you will find out which rules apply to the civil war in Syria, the military intervention in Ukraine and the occupation of the West Bank. During this course, you will learn how hostilities should be waged: Which weapons can be used by combatants and other fighters? And, who should never be a target during military operations? We will also look into the concept of protected persons, and you will find out how IHL affords protection to the sick and wounded, medical personal, detainees, children, journalists and other persons who are not - or not anymore - fighting. At the end of this course, you are introduced to the different implementation and enforcement mechanisms that aim to increase respect for IHL. Here, you are invited to think critically whether IHL works!\\n\\nThroughout this course you will benefit from a mix of theory and practice, which is at the heart of the vision and mandate of the Kalshoven-Gieskes Forum. You can participate for instance in an ongoing case study where drones are flying over the fictitious country Arfula, and detainees are locked up in tiny cells. Or, you can join our discussions about IHL success stories and the major IHL challenges we face today, with distinguished speakers from the International Committee of the Red Cross and US Naval War College! This course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera.","prosecution; arbitration; war; international-law; justice; crime; law; principle; humanitarian; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,31.2]","NA","English","social-sciences","law","9DkW4SOoEei1GgpVZ5bYIA"]
["2. Upskill","International","International Law In Action: Investigating and Prosecuting International Crimes","Universiteit Leiden","Advanced",15.8,4.84,"https://www.coursera.org/learn/international-law-in-action-2","‘Investigating and Prosecuting International Crimes’ is the second course  in Leiden University’s new series on International Law in Action. The first course covered international courts and tribunals in The Hague in general. This second course provides an insider perspective into the work of international criminal courts and tribunals.  You will learn about the investigation and prosecution of international crimes in The Hague. \\n\\nAtrocities produce unspeakable forms of violence. We will explore whether and how international criminal justice contribute to what UN Secretary-General Ban Ki Moon called the ‘age of accountability’. The theory is, those who commit the worst of human crimes, are held accountable, whether they are rank-and-file foot soldiers or military commanders, whether they are lowly civil servants following orders or top political leaders. We will test  how this can be done and if this is realistic.\\n\\nDuring this course, you will be offered a look into the ‘kitchen’ of the Hague international criminal courts and tribunals. You will learn how international criminal justice functions, who the actors are, what outcomes it produces, and how it can be improved. \\n\\nIf you want to gain a better understanding of international criminal cases, like the Lubanga case, the ICC’s first ever trial, and the legal legacy of UN international criminal tribunals, then this course is definitely for you!\\n\\nThis course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera.","justice; international-law; crime; humanitarian; criminal-justice; learning; prosecution; law; gratitude; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.4,20.3]","NA","English","social-sciences","law","qlAYiungEeW83RLVcuc3IQ"]
["2. Upskill","International","International Law in Action: the Arbitration of International Disputes","Universiteit Leiden","Advanced",11.7,4.77,"https://www.coursera.org/learn/arbitration-international-disputes","‘The Arbitration of International Disputes’ is the third course of Leiden University’s  series on International Law in Action. The first course covered generalities on the international courts and tribunals in The Hague, while the second course provided an insider's  perspective into the work of international criminal courts and tribunals.  This third course explores the major aspects of international arbitration as one of the most common method of international dispute settlement . Through this course you will gain an in-depth understanding of the  various facets of international arbitration through the analysis of its role as a mechanism of dispute settlement, its institutions, the fields of law it is applicable to, and, of course, its most famous awards. \\n\\nThe main question we will answer together during this course is \"Can international arbitration contribute to the creation of a peaceful world through the settlement of disputes between States and between States and non-State actors?\" In order to do so, we will learn the basic historical concepts or arbitration, as well as everything there is to know about the Permanent Court of Arbitration, based in The Hague. We will then dive into the role of international arbitration in settling disputes relating to the Law of the Sea, with a particular insight into the landmark South China Sea Arbitration. For an entire module, we will focus on investment arbitration, its principles and the procedure of the ICSID, the International Centre for Settlement of Investment Disputes. We will conclude the course with a module on the interplay between state immunity and enforcement of arbitral awards. This is brought to light through the Yukos Arbitration which is a perfect illustration of the topic.\\n\\nThis course offers you an opportunity to gain a better insight into international arbitration, its role and the current issues relating to it. You will gain in-depth knowledge of the principles and rules of arbitration. You will explore the topic through concrete examples and the most prominent arbitrations. You will also grasp the notion of international arbitration navigating between law and politics. International arbitration and The Hague go hand in hand: several key arbitration institutes are located in The Hague and important disputes were settled here through arbitration. The Hague is, so to speak, ‘the place to be for international arbitration’, especially when we are dealing with arbitration between States, or arbitration of investment disputes between foreign investors and States. \\n\\nJoin us for the course and become an expert on international arbitration!\\n\\nThis course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera.","international-law; language; international-relations; arbitration; history; learning; project; law; investment; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,17.6]","NA","English","social-sciences","law","B16bIEaoEee_nQq6JsYrTA"]
["2. Upskill","International","International Law in Action: A Guide to the International Courts and Tribunals in The Hague","Universiteit Leiden","Advanced",11.8,4.74,"https://www.coursera.org/learn/international-law-in-action","International Law in Action explains the functions of each international court and tribunal present in The Hague, and it looks at how these institutions address contemporary problems. On the basis of selected cases, and through interviews with judges and lawyers, you will explore the role of these courts and tribunals and their potential to contribute to global justice. \\n\\nThe first module of the course will investigate how judicial settlement is different from other more political forms of dispute settlement, such as negotiation and mediation. It offers a brief historical overview and introduces the judicial and arbitral bodies based in The Hague. In the remaining modules you will learn about the functions of these courts and tribunals, and some of the challenges and prospects that they face. Three cross-cutting themes tie together all of these modules: (i) The interaction between law and politics; (ii) The continuing role of State consent; and (iii) The ability of international courts and tribunals to protect the public interest and global values.\\n\\nThis course offers you an opportunity to gain a better insight into the functions and features of the courts and tribunals present in The Hague. You will gain a familiarity with each court or tribunal. You will develop realistic expectations of their capacity to address contemporary problems and an awareness of their limitations. You will also be able to discuss some of their most prominent cases. \\n\\nIf you would like to have a better understanding of international law in action in The Hague, this is definitely the course for you!\\n\\nThis course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera","international-law; learning; international-relations; arbitration; prosecution; justice; criminal-justice; law; eulers-totient-function; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,14.3]","French; Dutch","English","social-sciences","law","prHAajqwEeWXuQopUhAqaw"]
["2. Upskill","International","International Water Law","University of Geneva","Intermediate",13.2,4.7,"https://www.coursera.org/learn/international-water-law","In recent decades, international law has undergone a series of major developments in order to accommodate the many new facets of freshwater management and protection. The adoption of universal, regional and basin instruments highlights how important it is to study the evolution of international water regulations and to be able to identify the main principles in this field. This course aims to provide the necessary background to understand and examine the regulation applicable to transboundary freshwaters especially to rivers, lakes and aquifers. It presents the principles and legal standards that govern the use, sharing, management and protection of these resources. \\n\\nThe MOOC is made up of 5 modules. As each module addresses a different theme, they can be viewed in any order. However, the modules do follow a certain pedagogical logic and following in order will be especially helpful to those who are new to the subject. Each module is accompanied by an evaluation questionnaire or quiz. A certificate will be awarded to students who obtain an average of at least 80% in the quizzes. \\n\\nBy the end of this course, you will be able to: \\n1) Describe the issues related to the regulation of transboundary freshwaters; \\n2) Explain how transboundary freshwater regulations have evolved; \\n3) Recall and interpret the key principles governing water resource regulation; \\n4) Understand the role of transboundary freshwater dispute settlement mechanisms in the development of international freshwater law (or to understand the role of international courts and tribunals in the resolution of conflicts)  \\n\\nThis MOOC was developed by the Platform for International Freshwater Law that is part of the Geneva Water Hub, assisted by the MOOC Team of the University of Geneva. Alongside the researchers and teachers of the Platform, several international experts have also participated. This MOOC is one of three courses supported by the Water Hub Geneva and the University of Geneva. The other MOOCS are \"Water Management and Policy\" (www.coursera.org/learn/gestioneau) and \"Ecosystem Services: a method for sustainable development \"(www.coursera.org/learn/ecosystem-services). The Global Water Program of the Swiss Agency for Development and Cooperation (SDC) has funded this course. \\n\\nThis MOOC was originally created in French. It has English subtitles.","environmental-law; resource; international-relations; conciliation; law; arbitration; cooperation; international-law; water-law; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.2,17.1]","French","English","social-sciences","law","6y0D9VXvEeeDLBIonVfq9g"]
["2. Upskill","International","International Cyber Conflicts","The State University of New York","Intermediate",8.7,4.44,"https://www.coursera.org/learn/cyber-conflicts","By nature, cyber conflicts are an international issue that span across nation-state borders. By the end of the course, you will be able to apply the knowledge gained for analysis and management of international cyber incidents and conflicts including for activities such as development of policy related to cybercrime and cyberwarfare. Management of cyber incidents and conflicts requires an interdisciplinary perspective including an understanding of: 1) characteristics of the cyber threats and conflicts themselves, 2) international efforts to reduce and improve cyber security, and 3) psychological and sociopolitical factors. \\n\\nThe course is designed to reach an international audience and will encourage discussion on relevant current events among participants to enrich the experience with various personal and cultural perspectives on cutting-edge issues. In addition, assignments and other assessments will supplement video lectures and selected readings to ensure application of the material.\\n\\n\\nAfter taking this course you will be able to:\\n\\n• Identify different types of actors involved in cyber threats (individuals, organizations & nation-states)\\n• Distinguish between different types of threats and issues in cyber security including, data theft, political espionage, critical infrastructure protection, and propaganda\\n• Detail the basic characteristics of the Internet infrastructure and international efforts to address Internet governance\\n• List several international efforts to address cyber crime and espionage\\n• Evaluate how principals that govern international conflicts might be applied in context of cyber security\\n• Apply different psychological theories of human motivation and cooperation and communication and political theories in analysis of different international issues related to cyber security including censorship, media operations and role of social technologies.\\n\\n\\nGrading:\\n\\nYour grade is assessed based on discussion posts and quizzes. Individual taking this course for credit (i.e. students at the University at Albany y will be required to engage in additional activities communicated to them directly). \\n\\n\\nRecommended Background:\\n\\nNo background knowledge or skills are necessary, but an understanding and familiarity of cyber security, Internet infrastructure and international law would be advantageous for anyone who participates in the course.\\n\\n\\nACKNOWLEDGEMENTS\\n\\nErsin Dincelli and Nic DePaula were the instructional designers for the course who assisted in the recording of the videos, reviewing material, creating slides, assessments and some of the content. Without their tremendous effort this would not have been possible. We also acknowledge the financial support for the recordings from the University at Albany as well as the support from Media and Marketing. Finally, thanks to Lisa Stephens who is the SUNY liaison to Coursera for being a strong supporter of the MOOC.","international-law; architecture; internet; internet-protocol; confidence; security; cyberwarfare; law; cybercrime; computer-security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,10.6]","NA","English","computer-science","computer-security-and-networks","8TKORJrSEeW6bw4ogk2HGQ"]
["2. Upskill","International","Moral Foundations of Politics","Yale University","Beginner",30.6,4.83,"https://www.coursera.org/learn/moral-politics","When do governments deserve our allegiance, and when should they be denied it? \\n\\nThis course explores the main answers that have been given to this question in the modern West. We start with a survey of the major political theories of the Enlightenment: Utilitarianism, Marxism, and the social contract tradition. In each case, we begin with a look at classical formulations, locating them in historical context, but then shift to the contemporary debates as they relate to politics today.\\n\\nNext, we turn to the rejection of Enlightenment political thinking, again exploring both classical and contemporary formulations. The last part of the course deals with the nature of, and justifications for, democratic politics, and their relations to Enlightenment and Anti-Enlightenment political thinking.\\n\\nIn addition to exploring theoretical differences among the various authors discussed, considerable attention is devoted to the practical implications of their competing arguments. To this end, we discuss a variety of concrete problems, including debates about economic inequality, affirmative action and the distribution of health care, the limits of state power in the regulation of speech and religion, and difficulties raised by the emerging threat of global environmental decay.","international-relations; justice; law; thought; political-science; economy; philosophy; history; critical-thinking; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[21.4,40.2]","Romanian; Spanish","English","social-sciences","governance-and-society","CN4C2CQnEeW5Rwo0txKkgQ"]
["2. Upskill","Media","Internet Giants: The Law and Economics of Media Platforms","The University of Chicago","Beginner",35.0,4.83,"https://www.coursera.org/learn/internetgiants","This seven-week course will explore the relationship between law and technology with a strong focus on the law of the United States with some comparisons to laws around the world, especially in Europe. Tech progress is an important source of economic growth and raises broader questions about the human condition, including how culture evolves and who controls that evolution. Technology also matters in countless other ways as it often establishes the framework in which governments interact with their citizens, both in allowing speech and blocking it and in establishing exactly what the boundaries are between private life and the government.  And technology itself is powerfully shaped by the laws that apply in areas as diverse as copyright, antitrust, patents, privacy, speech law and the regulation of networks.\\n\\n The course will explore seven topics:\\n\\n 1.      Microsoft: The Desktop vs. The Internet. We will start with a look at the technology path that led to the first personal computer in early 1975, the Altair 8800. That path starts with the vacuum tube, moves to transistors, then to integrated circuits and finally to the microprocessor. We will look at the early days of software on the personal computer and the competition between selling software and open-source approaches as well as the problem of software piracy. We will discus the public good nature of software. The 1981 launch of the IBM PC revolutionized the personal computer market and started the path to Microsoft's powerful position and eventual monopoly in that market with the selection of MS-DOS. We then turn to four antitrust cases against Microsoft: (1) the 1994 U.S. case relating to MS-DOS licensing practices; (2) the U.S. antitrust middleware case over Microsoft’s response to Netscape Navigator; (3) the European Union case regarding Windows Media Player; and (4) the EU browser case over Internet Explorer. These disputes arose at the point of maximal competition between the free-standing personal computer and the Internet world that would come after it and we may know enough now to assess how these cases influenced that competition.\\n\\n 2.      Google Emerges (and the World Responds). Google has emerged as one of the dominant platforms of the Internet era and that has led to corresponding scrutiny by regulators throughout the world. Decisions that Google makes about its algorithm can be life altering. Individuals are finding it more difficult to put away past mistakes, as Google never forgets, and businesses can find that their sales plummet if Google moves them from the first page of search results to a later page. With great power comes scrutiny and we will look at how government regulators have evaluated how Google has exercised its power. Both the U.S. Federal Trade Commission and the European Union have undertaken substantial investigations of Google’s practices and we will look at both of those.\\n\\n 3.      Smartphones. The Internet started on the desktop but the Internet is increasingly mobile and people are seemingly tethered to their smartphones and tablets. And we have seen an interesting shift in that market away from Nokia handsets and the Blackberry to Apple's iPhone and its iOS platform and to the Android platform. The legal infrastructure of smartphones and tablets is extraordinarily complex. We will start by looking at U.S. spectrum policy and the effort to free up 500 megahertz of spectrum. We will look at the activities of standard setting organizations, including the IEEE and the creation of the 802.11 standard and Wi-Fi (or, if you prefer, wifi), the creation of patent pools and the regulation of standard essential patents. We will look at the FTC action against Google/Motorola Mobility and Apple's lawsuit against Samsung over utility and design patents relating to the iPhone. Finally, we will take a brief look at the European Commission's investigation into the Android platform.\\n\\n 4.      Nondiscrimination and Network Neutrality. Facebook has more than 1 billion users and measure that against a world population of roughly 7 billion and a total number of Internet users of roughly 2.5 billion. A course on law and technology simply has to grapple with the basic framework for regulating the Internet and a key idea there is the notion of network neutrality. Nondiscrimination obligations are frequent in regulated network industries, but at the same, discrimination can be an important tool of design for communication networks. We will start our look at the Internet by looking at the great first communications network of the United States, the post office and will look in particular at the Post Office Act of 1845.   We will then move to modern times and will consider efforts by the U.S. Federal Communications Commission to produce sensible and sustainable nondiscrimination conditions for the Internet and will touch briefly on comparisons from around the world.\\n\\n 5.      The Day the Music Died? In many ways, the Internet came first to music with the rise of peer-to-peer (p2p) music sharing through Napster and its successors. We start with a look into music platform history and the devices that brought recorded music into the home: the phonograph and the player piano. We turn to radio and the legal regime that puts music on the airwaves, the performing rights organizations like ASCAP and BMI. We look at the antitrust issues associated with the blanket license. We consider a failed music platform, digital audio tape, and the complicated legal regime associated with it, the Audio Home Recording Act of 1992. We will consider the copyright issues raised by the creation and distribution of music and the litigation over the p2p technologies such as Napster and Grokster. The music industry responded to p2p technology by adding digital rights management tools to CDs. As music distribution switched from physical media to digital distribution, we entered the world of Apple and the iPod and iTunes. We consider the DRM issues associated with Apple's music platform as seen by Steve Jobs. We conclude by looking at emerging subscription services like Spotify and the service that Apple is building based on its purchase of Beats.\\n\\n 6.      Video: Listening and Watching. Images are some of the most powerful ways in which ideas and speech are communicated and video has long been regulated by the state. That starts as a communications law issue with government regulation of the radio spectrum, but also leads to the design of the television system with the assignment of channels and eventually the definition of digital television. And with the emergence first of cable TV and subsequently the VCR critical copyright roadblocks had to be overcome for new distribution technologies to emerge. We will consider the legal engineering that led to the DVD platform, which was an exercise in patent pools and trademark creation. We will sort through the creation of the digital TV platform and will also look at the copyright underpinnings for Netflix. And we will consider the question of technology neutrality in the content of the copyright fight over a new video distribution entrant, Aereo. Finally, we close the week with a brief look at the incentive spectrum auctions and the possible end of broadcast television.\\n\\n 7.      The Mediated Book. Gutenberg revolutionized books with his printing press and for academics, books are sacred objects. But the printed book is on the run and with the rise of the ebook, we are entering a new era, the era of the mediated book. This is more than just a change in technology. We will look at the issues created by the rise of the ebook, issues about control over content and licensing and of the privacy of thought itself. We will also look at the legal skirmishes over this space, including the copyright fair use litigation over Google Books, the Apple e-book antitrust case. And we will look at the Amazon Kindle platform.","patent-law; copyright; market-economics; intellectual-property; competition-law; intellectual; law; economics; media-law; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[23,46.5]","NA","English","social-sciences","law","V9_aHBU7EeWfzgpfp_iBVw"]
["2. Upskill","Media","Copyright for Multimedia","Duke University","Intermediate",17.4,4.7,"https://www.coursera.org/learn/copyright-for-multimedia","Copyright questions about different formats (data, images, music and video) can be especially difficult.  Sometimes the law specifically distinguishes between these different formats, and in most cases there are media-specific considerations that impact a copyright analysis.  In this course we will look at four different media, paying special attention to the unique issues for each one and the kinds of information that is important when making copyright decisions for each type of material.  We will work through fair use issues for each multimedia format, look at format-specific exceptions in the law, and consider unique issues for seeking permission for film, music, images and data.\\n\\nAt the end of this course, participants will have a deeper understanding of how to apply our framework for making copyright decisions, and will be more comfortable with assessing multimedia issues.  They will have gained more and more diverse experience for considering fair use.","home-directory; photography; copyright; law; analysis; learning; multimedia; music; film; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.4,22]","NA","English","arts-and-humanities","music-and-art","oZirzngdEeWrAxJQXw-8PQ"]
["2. Upskill","Intellectual Property","Patenting in Biotechnology","Technical University of Denmark (DTU)","Advanced",44.6,4.55,"https://www.coursera.org/learn/patenting-bio-ipr","Far too often, researchers are misinformed about the role and the possibilities arising around patents and Intellectual Property Rights (IPR). In this course we will teach you what IPR are - with a special focus on patents. Also this course will look at the importance of patents in the world of biotechnology - and what you actually can patent.\\n\\nShould your research be protected? Can your research even be protected? \\nThere are a lot of misunderstandings about patents, so first step is to know what patents really are and how they work. Then we will introduce how and when to apply for them. Also how to find existing patents is a crucial and necessary element to being able to assess whether your research should be protected or not.\\n\\nThe course will be divided in 7 sessions, and at the end of the course, you should be able to:\\n- describe the different types of IPR\\n- explain the conditions of patentability for an invention\\n- describe the various stages involved in a patent application\\n- search and retrieve patent information from databases\\n- read and understand a patent\\n- write claims related to biotechnology\\n- understand and explain the concept of Freedom To Operate\\n\\nCourse Materials:\\nYou will need the following book as a reading material for the course:\\n“Patenting in Biotechnology, a laboratory manual” by Peter Ulvskov, which will be available from \\nhttp://polyteknisk.dk/home/Detaljer/9788750211068\\n\\nAlso, you will need to get access from your home institution to these databases:\\n- Derwent Innovation Index (via Web of Science)\\n- SciFinder\\n\\nNB:\\nThis course is related to a 5 ECTS point course that is a mandatory requirement for access to the BioBusiness and Innovation Platform (BBIP) program at the Copenhagen Business School. NOTE: this Coursera course will NOT be sufficient for attending the BBIP program but successful completion of this course (with a Course Certificate) will be a plus for applying to the BBIP. \\nTo obtain the 5 ECTS points, you will have to enrol as a DTU Student, participate on a hands-on workshop on patent databases and pass an exam in presence of an external Censor.  For more information, please email me at:\\n\\nfdemasi@cbs.dtu.dk\\n\\nLink for BBIP: (http://www.cbs.dk/viden-samfundet/strategiske-indsatsomrader/biobusiness-and-innovation-platform-bbip)","database; patent-law; biotechnology; law; intellectual-property; intellectual-property-law; intellectual; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.1,73.7]","NA","English","life-sciences","basic-science","4wNS4rhtEeWbNBLZhfEI2Q"]
["2. Upskill","Property","Property and Liability: An Introduction to Law and Economics","Wesleyan University","NA",22.9,4.58,"https://www.coursera.org/learn/property-law-and-economics","Think about the oldest and most familiar principles of American law, property and proportional liability, in a new and surprising way, and learn to apply economic reasoning to an especially important and interesting aspect of life.","justice; thought; cost; law; pricing; criminal-justice; crime; economics; critical-thinking; dotproperties","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[15.8,27]","NA","English","social-sciences","law","W-ayAiM9EeSjriIACzaDig"]
["2. Upskill","Russian","Bases of the law of obligations (The Russian Federation) Part 2","Moscow State Institute of International Relations (MGIMO) / МГИМО (Московский государственный институт международных отношений МИД России)","Beginner",13.1,"NA","https://www.coursera.org/learn/russian-law-of-obligations-2","The present course gives an overview of Bases of the Law of Obligations (Part II).\\nThe course is directed to students of general educational institutions, Russian and foreign lawyers, heads of legal entities, financial directors, chief accountants,auditors, practicing in English, and to any person, interested in the Law of\\nObligations.\\n\\nThe course goals and objectives:\\nThe main goal of the course is to provide students with fundamental knowledge of the basis of the Russian Law of Obligations\\n\\nCourse objectives are:\\n1. To introduce students to analyzing and evaluating situations from a legal perspective, identifying the essential elements of the Russian contractual system.\\n2. To orient students towards distinguishing between different types of forms of obligations and the ability of the main subjects of law (individuals and legal entities) to incur and fulfill legal obligations.\\n3. To distinguish obligations and torts.\\n\\nLearning outcomes:\\nBy the end of this course students shall be able to:\\n1. Analyze and evaluate situations from a legal perspective\\n2. Identify the essential elements of a contract\\n3. Explain the six means of securing obligations – forfeit, pledge, retention, bank guarantee, surety and earnest money\\n4. Explain the consequences of a breach of contract\\n5. Identify main cases of termination of a contract\\n6. Explain how obligations in tort arise\\n7. Discuss the consequences of damage or loss in relation to non-contractual obligations\\n\\nCourse requirements:\\nStudents shall get acknowledged with the following legal acts & literature:\\n1. Shashkova. Study Manual on the Bases of Russian Law. Cambridge Scholars Publishing. – 2015.\\n2. Shashkova. Comparative Civil Law, textbook. М: Nauka, 2019. — 219 p.ISBN 978-5-6042455-6-9\\n3. Shashkova. Practical Material оn Comparative Civil Law, practical material.М: Nauka, 2019. ISBN 978-5-6042455-7-6\\n4. The Constitution of the Russian Federation, dated 12 December 1993. http://www.constitution.ru/en/10003000-01.htm\\n5. The Civil Code of the Russian Federation, Part I No.51-FZ, dated 30 November 1994, Part II No.14-FZ, dated 26 January 1996\\n6. The Federal Law No.82-FZ “On Minimum Amount of Wages and Salaries”, dated 19 June 2000 \\n\\nContents\\n1. Means of securing obligations\\na) Explain how the Civil Code enables obligations to be secured.\\nb) Explain the six means of securing obligations – forfeit, pledge, retention, bank guarantee, surety and earnest money.\\n2. Breach of contract and consequences. Changes and termination of a contract\\nc) Explain the meaning of breach of contract.\\nd) Explain the consequences of a breach of contract.\\n3. Non-contractual obligations\\ne) Define tort.\\nf) Explain how obligations in tort arise.\\ng) Explain the tests applied by the courts to establish whether a non-contractual obligation has arisen.\\nh) Discuss the consequences of damage or loss in relation to non-contractual obligations.","law; international-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.2,14.5]","NA","English","business","business-essentials","sTfcN_VpEem-pRK1H2dcxg"]
["2. Upskill","Russian","Bases of the law of obligations (The Russian Federation) Part 1","Moscow State Institute of International Relations (MGIMO) / МГИМО (Московский государственный институт международных отношений МИД России)","Beginner",9.7,5.0,"https://www.coursera.org/learn/russian-law-of-obligations","The present course gives an overview of Bases of the Law of Obligations.  \\nThe course is directed to students of general educational institutions,  Russian and foreign lawyers, heads of legal entities, financial directors, chief accountants, auditors, practicing in English, and to any person, interested in the Law of Obligations.\\nThe course goals and objectives: \\nThe main goal of the course is to provide students with fundamental knowledge of the basis of the Russian Law of Obligations\\nCourse objectives are:\\n1. To introduce students to analyzing and evaluating situations from a legal perspective, identifying the essential elements of the Russian contractual system.\\n 2. To orient students towards distinguishing between different types of forms of obligations and the ability of the main subjects of law (individuals and legal entities) to incur and fulfill legal obligations.\\nLearning outcomes: \\nBy the end of this course students shall be able to:\\n1.\\tAnalyze and evaluate situations from a legal perspective.\\n2.\\tIdentify the essential elements of a contract.\\n3.\\tUnderstand situations when  contract shall have a particular form\\n4.\\tIdentify moment of conclusion of contract\\n5.\\tDistinguish between offer and public offer\\n6.\\tExplain due execution of obligations","law; international-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.1,11.6]","NA","English","business","business-strategy","6emKVutIEem8TxLaftDEmg"]
["2. Upskill","Russian","Legal aspects of conducting business in Russia","Saint Petersburg State University","Beginner",11.7,5.0,"https://www.coursera.org/learn/legal-business-russia","This course is designed for people who intend to perform business in Russia.\\n\\nThe entrepreneur constantly functions in the legal field: creates his enterprise, acquires property, concludes transactions, interacts with control and supervisory state bodies and bodies of the judicial system. Success of business and fate of the entrepreneur himself depend on the choice of the form of entrepreneurial activity, knowledge of his or her rights and obligations, on the correct response to legal and illegal actions of employees of government and management. That is why knowledge of law and ability to use legal tools in order to achieve goals are important for an entrepreneur no less than knowledge in the field of economics, finance and management.\\n\\nThe course gives a general overview on the most important issues such as: Russian political, legal and judicial systems, foreign investment policy, foreign trade, most common forms of legal presence in Russia for foreign investors, regulation on business activity in Russia etc","russian","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[6.8,14.9]","NA","English","business","business-essentials","gzrK-yLJEemhqwpSn9rsWA"]
["2. Upskill","Science","Genomics for Law","University of Illinois at Urbana-Champaign","Beginner",14.1,4.75,"https://www.coursera.org/learn/genomics-for-law","Genomics for Law provides a unique framework to review the history and basics of genomics research as well as explore how genomics has, and will continue to, interact with the law.\\n\\nThroughout this course you will explore the implications of genomics research on law, as well as law's influence and implications on genomics research, as it pertains to the following topics:\\n\\n•\\tGenomics and Criminal Law\\n•\\tGenomics and Criminal Procedure\\n•\\tForensic Genomics\\n•\\tIntellectual Property Protection and Biotechnology\\n•\\tGenomics and Tort Law\\n•\\tGenomics and Privacy Law\\n•\\tLegal and Ethical Issues in Genomics\\n\\nThis course can be taken to fulfill continuing legal education (CLE) credits for practicing lawyers. 9 MCLE hours have been approved in Illinois.","mental-illness; biotechnology; law; genomics; credit-analysis; analysis; searches-and-seizures; forensic-science","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.7,20.3]","NA","English","social-sciences","law","7yXHdAq8EeiO3Q55exG9ag"]
["2. Upskill","Sports","Becoming a Sports Agent","Case Western Reserve University","Beginner",40.5,4.73,"https://www.coursera.org/learn/sports-agent","An immersive experience in the world of sports that will take students through the four stages of a professional athlete's career. Utilizing lectures, guest speakers, reading assignments and hypothetical walkthroughs, students will learn how the best sports agents manage clients at each of these four stages.\\n\\nThis course will provide each student with the skills necessary to guide an athlete through the difficult decisions that can make or lose the athlete millions of dollars, as well as affect their public image and career. Walking through the four stages of an athlete's career, we will provide a broad scope of the landscape of amateur and professional sports so that you can avoid the pitfalls and traps that so many have fallen into in the past; not to mention, bringing you updates throughout the course regarding the rapidly changing sports world that we live in today. Analyzing the best practices in the management of the superstar athletes with whom Professor Carfagna, Professor Volante and their expert guests have worked, we will show you how to manage the career of any professional athlete who might seek your guidance at any stage of his or her professional career.","law; sports-law; art; marketing; sports; coaching; negotiation; sports-marketing; management; marketing-management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[17.1,58.8]","NA","English","social-sciences","law","JVtxhFi2EeWPXA4vXFBIfw"]
["2. Upskill","Sports","Doping : Sports, Organizations and Sciences","University of Lausanne","Beginner",11.4,4.57,"https://www.coursera.org/learn/doping","The objective of this course is to encourage a critical understanding of doping. To achieve this goal, this course will rely on a multidisciplinary approach that allow you to see how different disciplines get into a single object, in different perspectives and in often complementary ways. This approach will also allow us to appreciate the complexity of a subject like doping.\\n\\nDoping in sports is a complex practice whose definition and identification is the result of socially and historically constructed norms.\\nThis course offers to shed light on the processes that led to the use and prohibition of doping substances. Performance enhancement or physical transformation are two aspects of doping which are seen as problematic, yet even as we speak companies are making fortunes selling body improvement and other forms of “human enhancement” to us. These apparent contradictions will be analysed to show that beyond sanitary questions, doping raises many social, scientific and legal issues. \\nIn efforts to control doping, governments and sports authorities have put into place institutions responsible for defining what falls into the category of doping, but also what prevention, repressions and research methods to put into effect. This course will also explore biological control measures such as the biological passport, key legal dimensions, organisations that produce performance, as well as the sociological dimensions of doping.\\n\\nBesides the Professors of University of Lausanne, the best experts of doping are involved in this course: experts from an Anti-doping Laboratory (LAD- Lausanne-Switzerland), from the CAS (Court of Arbitration for Sport), from the UEFA (soccer), and from the WADA (World Anti-Doping Agency).\\n\\nTeaser:  https://www.youtube.com/watch?v=20Q3eR_g7rU\\n\\nMain Learning Outcomes\\n\\nAt the end of the course the participants will be able to :\\n\\n1.\\tIdentify the “cultural” dimension of doping,  that is as a historical practice linked to the transformation of social norms,\\n2.\\tGo from a binary way of thinking - for or against doping - to an understanding of the complexity of this phenomenon which is biological, psychological and sociological, all at the same time,\\n3.\\tRecognize the institutions, the actors and the practices of the fight against doping,\\n4.\\tExplain how the social and organisational context influences individuals decisions and how this influence can be reduced by effective prevention measures,\\n5.\\tIdentify how the fight against doping is led and how testing is carried out.","drugs; law; performance; learning; arbitration; thought; sports; critical-thinking; sociology; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.1,13.1]","NA","English","social-sciences","governance-and-society","7GFLpG5wEeWSPQr3Cum54Q"]
["2. Upskill","Tech Startups","FinTech Law and Policy","Duke University","Intermediate",33.1,4.77,"https://www.coursera.org/learn/fintechlawandpolicy","Being a successful FinTech firm requires more than just great technology; it also requires an understanding of the laws and regulations applicable to your business. This course will provide you with that understanding. You will learn about the critical legal, regulatory, and policy issues associated with cryptocurrencies, initial coin offerings, online lending, new payments and wealth management technologies, and financial account aggregators.  In addition, you will learn how regulatory agencies in the U.S. are continually adjusting to the emergence of new financial technologies and how one specific agency has proposed a path for FinTech firms to become regulated banks. You will also learn the basics of how banks are regulated in the U.S.\\n\\nIf you are unfamiliar with how these new financial technologies work, fear not. We will begin each new course section with a high-level overview of the underlying technology.  While the course is principally focused on the U.S. FinTech industry, we cannot possibly cover every relevant legal and regulatory issue. Therefore, this course should not be construed as legal advice. Rather, the goal of the course is to familiarize you with the key legal and regulatory challenges FinTech firms in various sectors face, as well as the critical policy debates that are occurring in Washington D.C. and state capitals across the country.","finance; financial-regulation; financial-technology; blockchains; payment-systems; law; cryptocurrency; risk; bitcoin; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[8.2,60.2]","NA","English","business","finance","nhAPFV0cEeiNthLYUFoHkg"]
["2. Upskill","Sustainability","Sustainable Development in the 21st Century with Ban Ki-moon","Yonsei University","Intermediate",19.7,4.75,"https://www.coursera.org/learn/sustainable-development-ban-ki-moon","The course is designed for people that want to learn about the latest development agenda the international community agreed to achieve by 2030. Structured around the five pillars of Agenda 2030 – people, prosperity, planet, peace and justice, and partnership, students will learn that these pillars are interconnected and need to be integrated in practical policy-making and operational activities for development, in both developed and developing country settings. Following an introductory module on the main concepts of Agenda 2030 and the SDGs, successive modules will provide the foundation behind the SDGs for people, prosperity and planet, peace and partnership. A final module will explore the way forward and provide channels that the young generation can participate to integrate the SDGs in the policy-making of the students’ resident countries.\\n\\nTo get a better idea of our course, we welcome you to take a look at our promotional video: https://www.youtube.com/watch?v=KATSb73TeB4","sustainability; learning; ascii-art; environmental-protection; environmental-law; process; project; communication; gratitude; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12.5,25.7]","Spanish; Chinese; Korean","English","social-sciences","governance-and-society","WoKAt-HiEeeNUAqowLUc1g"]
["2. Upskill","Taxation","Rethinking International Tax Law","Universiteit Leiden","Beginner",29.2,4.84,"https://www.coursera.org/learn/international-taxation","In recent years, the international tax planning strategies of multinationals have become a source of – often heated – debate. This course provides learners with the tools to become fully informed participants in the debate by explaining the foundations and practice of international tax law as well as addressing current developments and the ethical aspects of tax planning.","pricing; tax-planning; transfer-pricing; international-taxation; base-erosion-and-profit-shifting; law; planning; international-law; taxation; tax-law","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[19.1,35.6]","NA","English","social-sciences","law","VxTqEC8iEeWUWxIOAnoaFQ"]
["2. Upskill","Taxation","Federal Taxation I: Individuals, Employees, and Sole Proprietors","University of Illinois at Urbana-Champaign","Intermediate",37.3,4.88,"https://www.coursera.org/learn/federal-taxation-individuals","This course is the first course in a five-course US Federal Tax Specialization. It covers and focuses on the U.S. federal tax system as it relates to individuals, employees, and sole proprietors. Key concepts covered include gross income and items that are statutorily included or excluded in it, personal and business expenses that qualify as tax deductions, and the differing tax treatments for employees versus self-employed taxpayers. Unlike many other introductory courses in tax and as part of this course’s comprehensive wrap-up, learners will be provided with practical and tangible experience reporting both income and expenses on the main individual tax return used in the US, Form 1040.\\n\\nIf you have enjoyed this course, consider enrolling in our online graduate Accounting program. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa ","individual-tax-returns; taxation; federal-tax-returns; credit; tax-preparation; income-tax; law; income; tax-returns; tax-law","U.S. Federal Taxation",1.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[20.7,43.2]","NA","English","business","business-essentials","uCrSqjAVEeeZnwpGNf0eQA"]
["2. Upskill","Taxation","Taxation of Business Entities I: Corporations","University of Illinois at Urbana-Champaign","Advanced",33.6,4.66,"https://www.coursera.org/learn/taxation-business-entities-part-1","This course provides an introduction to the U.S. federal income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.","tax-law; income; studentized-residual; liquidation; income-tax; restructuring; accounting; corporate-taxation; taxation; corporate-bond","U.S. Federal Taxation",3.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[16.2,43]","NA","English","business","business-essentials","wvZRZ0okEeeOdhJtXwU6ZA"]
["2. Upskill","Taxation","U.S. Federal Taxation Capstone","University of Illinois at Urbana-Champaign","Advanced",8.9,4.91,"https://www.coursera.org/learn/us-federal-tax-capstone","The Capstone is the culminating project in the US Federal Tax Specialization. You will have the opportunity to combine the concepts and techniques obtained through all the courses in this specialization (Federal Taxation I: Individuals, Employees and Sole Proprietors, Federal Taxation II: Property Transactions of Business Owners and Shareholders, Taxation of Business Entities I: Corporations, and Taxation of Business Entities II: Pass-Through Entities) and apply them to a real world tax project. The Capstone project will be 3 weeks long. You must take the Capstone project class after taking all the other courses in this Specialization.","tax-preparation; taxation; law; utility; tax-reform; real-estate; accounting; tax-accounting-in-the-united-states; payroll; integration-testing","U.S. Federal Taxation",5.0,"https://www.coursera.org/specializations/united-states-federal-taxation","This Specialization introduces the U.S. federal tax system via conceptual and applied material. Learners will be able to apply basic principles to settings involving individuals, corporations, and other business entities, complete key components of major, individual U.S. federal tax returns, and identify tax-related strategies and implications of structuring transactions and organizations.","[4.4,11.9]","NA","English","business","business-essentials","tXt1sUoiEeeMtBKozo_2UA"]

{"sheet":"12. DE","index":18,"n_rows":37,"n_cols":20,"rows_kept":37,"cut":false,"hidden":false,"merged":[]}
[]
["Defense","Back to summary page","This sheet collates the top recommended financial services courses for each skill\nAll courses have been recommended using our internal machine learning engine & content knowledge from the Coursera Skills Transformation team",null,null,"Back to industry summary page"]
[]
["Use Case","Skill","Course Name","University / Industry Partner Name","Difficulty Level","Average Hours","Course Rating","Course URL","Course Description","Skills Learned","Specialization","Specialization Course Order","Specialization URL","Specialization Description","Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["1. Literacy","Cybersecurity","Introduction to Cyber Attacks","New York University Tandon School of Engineering","Advanced",13.0,4.61,"https://www.coursera.org/learn/intro-cyber-attacks","This course provides learners with a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades. \\n\\nFamiliar analytic models are outlined such as the confidentiality/integrity/availability (CIA) security threat framework, and examples are used to illustrate how these different types of threats can degrade real assets. The course also includes an introduction to basic cyber security risk analysis, with an overview of how threat-asset matrices can be used to prioritize risk decisions. Threats, vulnerabilities, and attacks are examined and mapped in the context of system security engineering methodologies.","matrices; cyberattacks; information-security; threat; risk; security; risk-assessment; threat-computer; denial-of-service-attacks; computer-security","Introduction to Cyber Security",1.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7,16.6]","NA","English","computer-science","computer-security-and-networks","pvX6CD5REeaObA6SJ3XZwQ"]
["1. Literacy","Homeland Security","Homeland Security and Cybersecurity Future","University of Colorado System","Intermediate",7.5,4.72,"https://www.coursera.org/learn/homeland-security-cybersecurity-future","This course takes a look at the future of cybersecurity with respect to what is being done to lessen the potential for catastrophic destruction resulting from cyber attack on critical infrastructure.  In this respect, we take a short survey of potential technological solutions and response options.  We conclude this module by taking a look at unique aspects of the cyber profession and personal considerations for those who want to make cybersecurity a career.","analytics; security; common-sense; awareness; risk-management; critical-infrastructure-protection; computer-security; integration-testing; risk; management","Homeland Security and Cybersecurity",4.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.7,10.4]","NA","English","social-sciences","governance-and-society","I9K1SdkZEea7lQ7A_W1MbA"]
["1. Literacy","Homeland Security","Securing Digital Democracy","University of Michigan","Advanced",17.9,4.84,"https://www.coursera.org/learn/digital-democracy","In this course, you'll learn what every citizen should know about the security risks--and future potential — of electronic voting and Internet voting. We'll take a look at the past, present, and future of election technologies and explore the various spaces intersected by voting, including computer security, human factors, public policy, and more.","computer-security; security; usability; access-control; null-character; operating-system; internet; elections; voting; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.5,22.9]","NA","English","computer-science","computer-security-and-networks","52n7Ml8SEeSiWyIACyQQqQ"]
["1. Literacy","Privacy","Security and Privacy for Big Data - Part 1","EIT Digital","Intermediate",3.7,4.73,"https://www.coursera.org/learn/security-privacy-big-data","This course sensitizes regarding security in Big Data environments. You will discover cryptographic principles, mechanisms to manage access controls in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all security related issues are under control. You will look at decent-sized big data projects with security-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. \\n\\nIf you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and security, this course will suit you as well.","data-protection; information-privacy; administrative-controls; big-data; privacy; security; encryption; data-security; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.5,5]","NA","English","information-technology","security","ErovshnZEemcTxJcM_MHdg"]
["1. Literacy","Terrorism","New Approaches to Countering Terror: Countering Violent Extremism","University of Maryland, College Park","Beginner",7.1,4.8,"https://www.coursera.org/learn/countering-terror-violent-extremism","The “New Approaches to Countering Terror: Countering Violent Extremism” course offered by the National Consortium for the Study of Terrorism and Responses to Terrorism (START), is a multi-week interactive course designed to help students explore both pragmatic and philosophical challenges that continue to shape the evolution of Countering Violent Extremism (CVE), a global security paradigm. START, a Department of Homeland Security Emeritus Center of Excellence and research, training, and education center housed at the University of Maryland within the College of Behavioral and Social Sciences (BSOS), serves as a leading voice in the national and international dialogue regarding CVE. START’s Director and the course instructor, Bill Braniff, will introduce the concept of CVE and explore the promise of CVE as a more comprehensive and proactive approach to the complex phenomenon of violent extremism.\\n\\nThis 3.5 hour course will take an in-depth look at CVE as a relatively new area of policy and practice. As such, this MOOC can serve as an awareness-raising course, targeting anyone interested in terrorism, community resilience, security, policy and/or civil rights issues. The course is broadly interdisciplinary and has no prerequisites. Upon completion of this course, students will be able to:\\n\\n1. Differentiate between two ways of addressing violent extremism: counterterrorism (CT) and Countering Violent Extremism (CVE);\\n2. Explain the CVE spectrum of non-violent approaches to countering terror, including prevention, intervention, and rehabilitation/reintegration programs;\\n3. Make sound analytical judgments about CVE programs and their potential.","security; terrorism; relative-change-and-difference; security-awareness; learning; violent-extremism","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.1,9.3]","NA","English","social-sciences","governance-and-society","XwaYFAyFEeaoZBKRisF_Dw"]
["2. Upskill","Cybersecurity","Cryptography","(ISC)²","Advanced",11.7,4.52,"https://www.coursera.org/learn/cryptography-sscp","Welcome to Cryptography!\\nCryptography is the practice and study of techniques for securing communications in the presence of third parties. You will learn how to protect information in order to ensure its integrity, confidentiality, authenticity, and non-repudiation.\\nYou will come out with a basic understanding of cryptographic concepts and how to apply them, implement secure protocols, key management concepts, key administration and validation, and Public Key Infrastructure.\\n\\nCourse Objectives\\n1. Apply the fundamental concepts of cryptography\\n2. Describe the difference between symmetric and asymmetric cryptography\\n3. Define the basic requirements for cryptography\\n4. Identify processes to support secure protocols\\n5. Describe the process for implementing cryptographic systems\\n6. Define key management concepts\\n7. Define Public Key Infrastructure\\n8. Identify processes for key administration and validation\\n9. Describe the implementation of secure protocols","cryptography; build-automation","(ISC)² Systems Security Certified Practitioner (SSCP)",4.0,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[5.2,15.7]","NA","English","information-technology","security","KkFzW9N7EeesLg4eQ_-o2A"]
["2. Upskill","Cybersecurity","DDoS Attacks and Defenses","University of Colorado System","Advanced",8.4,4.27,"https://www.coursera.org/learn/ddos-attacks-and-defense","In this MOOC, you will learn the history of DDoS attacks and analyze new Mirai IoT Malware and perform source code analysis.  you will be provided with a brief overview of DDoS Defense techniques. You learn  an Autonomous Anti-DDoS Network called A2D2 for small/medium size organizations to deal with DDoS attacks. A2D2 uses Linux Firewall  Rate limiting and Class Based Queueing, and subnet flood detection to handle various DDoS traffic types.   You learn the new Intrusion tolerance paradigm with proxy-based multipath routing  for DDoS defense.  By  developing and deploying  such a new security mechanism, you can improve performance and reliability of the system at the same time and it does not have to be just an overhead.   By the end of this course, you should be able to  analyze new DDoS malware, collect forensic evidences, deploy firewall features to reduce the impact of DDoS on your system and develop strategies for dealing with future DDoS attacks. \\n\\nFor the pre-requisites, we recommend the learners take the Design and Analyze Secure Networked Systems course to learn the basic security concepts and principles   and take the Secure Networked System with Firewall and IDS courses to learn the basic firewall and IDS systems.","botnets; proxy-servers; sources; resource; security; defense; denial-of-service-attacks; detection; forensics; digital-forensics","Advanced System Security Design",2.0,"https://www.coursera.org/specializations/advanced-system-security-design","This specialization is intended for intermediate level learners with basic programming skills and basic cybersecurity knowledge. Through this course learner will learn about advanced secure software techniques such as those for cloud computing, TOR, web-based cryptography, and geo-location/context based access control. With these techniques, learners will be better prepared to implement new security and privacy preserving data security features, to perform secure system design and implementation, vulnerability analysis, and Securely Provision (SP), Operate and Maintain (OM), Oversee and Govern (OV), Protect and Defend (PR), Analyze (AN), Collect and Operate (CO), and investigate (IN) tasks.","[2.8,13.1]","NA","English","computer-science","computer-security-and-networks","8mp_G2qbEeeKABJwpbbkfA"]
["2. Upskill","Cybersecurity","Cybersecurity Policy for Water and Electricity Infrastructures","University of Colorado System","Intermediate",6.6,4.64,"https://www.coursera.org/learn/cybersecurity-policy-water-electricity","This course will examine the drinking water and electricity infrastructures, and various policies that have been developed to help guide and strengthen their cybersecurity programs.  The drinking water and electricity infrastructures are two of fourteen subsectors comprising what are known as \"lifeline infrastructure\". The 2013 National Infrastructure Protection Plan identifies four lifeline infrastructure sectors: 1) water, 2) energy, 3) transportation, and 4) communications. These sectors are designated \"lifeline\" because many other infrastructures depend upon them.  The drinking water subsector is part of the water sector, and the electricity subsector is part of the energy sector.  Both subsectors are overseen by the Department of Homeland Security National Protection and Programs Directorate which manages the DHS National Infrastructure Protection Program. The NIPP employs a five-step continuous improvement program called the Risk Management Framework. NIPP implementation is overseen by DHS-designated Sector-Specific Agencies staffed by various Federal departments. The Sector-Specific Agencies work in voluntary cooperation with industry representatives to apply the Risk Management Framework and document results in corresponding Sector-Specific Plans.  The program began in 2007 and the most recent Sector-Specific Plans were published in 2016. In February 2013, President Obama issued Executive 13636 directing the National Institute of Standards and Technology to develop a voluntary set of recommendations for strengthening infrastructure cybersecurity measures. EO13636 also asked Federal agencies with regulating authority to make a recommendation whether the NIST Cybersecurity Framework should be made mandatory. The Environmental Protection Agency who is both the SSA and regulatory authority for the drinking water subsector recommended voluntary application of the NIST Cybersecurity Framework. The Department of Energy who is both the SSA and regulatory authority for the electricity subsector replied that it was already implementing the Electricity Subsector Cybersecurity Capability Maturity Model, which indeed was what the NIST Cybersecurity Framework was based on.  The Department of Energy, though, recommended voluntary application of the ES-C2M2. This module will examine both the drinking water and electricity lifeline infrastructure subsectors, and elements and application of the NIST Cybersecurity Framework and ES-C2M2.","interest; seeks; maturity-models; computer-security; maturity-finance; resource; risk-assessment; risk; capability-maturity-model; modeling","Homeland Security and Cybersecurity",2.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[3.4,9.5]","NA","English","social-sciences","governance-and-society","ZV1XndkXEeaK7g6oc5zEgg"]
["2. Upskill","Cybersecurity","Cybersecurity Policy for Aviation and Internet Infrastructures","University of Colorado System","Intermediate",5.8,4.68,"https://www.coursera.org/learn/cybersecurity-policy-aviation-internet","In this course we will examine the aviation and Internet infrastructures, and various policies that have been developed to help guide and strengthen their cybersecurity programs.  The aviation and Internet infrastructures are also considered \"lifeline infrastructure\" as part of the transportation and communications sectors. Both subsectors are overseen by the Department of Homeland Security National Protection and Programs Directorate which manages the DHS National Infrastructure Protection Program. SSA responsibility for the aviation subsector is shared between the Transportation Security Administration and Federal Aviation Administration under the auspices of the Department of Homeland Security and Department of Transportation respectively.  The Department of Homeland Security retains sole responsibility as the Sector-Specific Agency for the Internet subsector.  While TSA and FAA have regulatory over the aviation subsector, DHS has no regulatory authority whatsoever over the Internet. In response to Executive Order 13636 issued by President Obama in February 2013, both sets of SSAs recommended continuing with voluntary cybersecurity measures. TSA and FAA reported they were working to implement the Transportation Roadmap across all transportation subsectors, including aviation. DHS reported that it was working with Internet providers to implement the Cyber Assessment Risk Management Approach. Despite some differences, the Transportation Roadmap and CARMA are very similar to the NIST Cybersecrity Framework and ES-C2M2 examined previously.  That is to say, they are predicated on a continuous improvement process that engages the whole organization in identifying and implementing incremental changes to enhance cybersecurity practices based on prevailing standards. This module will examine both the aviation and Internet lifeline infrastructure subsectors, and elements and application of the Transportation Roadmap and CARMA.","risk; management; transporting; cyber-security-regulation; risk-management-framework; risk-management; computer-security; risk-assessment; internet; integration-testing","Homeland Security and Cybersecurity",3.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.9,7.4]","NA","English","social-sciences","governance-and-society","ihL3vNkYEeaDExLRWbCaPg"]
["2. Upskill","Cybersecurity","Cyber Attack Countermeasures","New York University Tandon School of Engineering","Advanced",13.4,4.77,"https://www.coursera.org/learn/cyber-attack-countermeasures","This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks. These underlying policy enforcements mechanisms help introduce basic functional protections, starting with authentication methods. Learners will be introduced to a series of different authentication solutions and protocols, including RSA SecureID and Kerberos, in the context of a canonical schema. \\n \\nThe basics of cryptography are also introduced with attention to conventional block ciphers as well as public key cryptography. Important cryptographic techniques such as cipher block chaining and triple-DES are explained. Modern certification authority-based cryptographic support is also discussed and shown to provide basis for secure e-commerce using Secure Sockets Layer (SSL) schemes.","cryptanalysis; security; error-detection-and-correction; authentication; cryptography; authentication-protocols; encryption; authentication-methods; computer-security; public-key-cryptography","Introduction to Cyber Security",2.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7.5,18.3]","NA","English","computer-science","computer-security-and-networks","0Q9TklgrEeeZ3g7LRzMq2g"]
["2. Upskill","Cybersecurity","Cyber Attack Countermeasures","New York University Tandon School of Engineering","Advanced",13.4,4.77,"https://www.coursera.org/learn/cyber-attack-countermeasures","This course introduces the basics of cyber defense starting with foundational models such as Bell-LaPadula and information flow frameworks. These underlying policy enforcements mechanisms help introduce basic functional protections, starting with authentication methods. Learners will be introduced to a series of different authentication solutions and protocols, including RSA SecureID and Kerberos, in the context of a canonical schema. \\n \\nThe basics of cryptography are also introduced with attention to conventional block ciphers as well as public key cryptography. Important cryptographic techniques such as cipher block chaining and triple-DES are explained. Modern certification authority-based cryptographic support is also discussed and shown to provide basis for secure e-commerce using Secure Sockets Layer (SSL) schemes.","cryptanalysis; security; error-detection-and-correction; authentication; cryptography; authentication-protocols; encryption; authentication-methods; computer-security; public-key-cryptography","Introduction to Cyber Security",2.0,"https://www.coursera.org/specializations/intro-cyber-security","Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.","[7.5,18.3]","NA","English","computer-science","computer-security-and-networks","0Q9TklgrEeeZ3g7LRzMq2g"]
["2. Upskill","Cybersecurity","Introduction to Cybersecurity Tools & Cyber Attacks","IBM","Intermediate",19.6,4.32,"https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks","This course gives you the background needed to understand basic Cybersecurity.  You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals.  Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.\\n\\nYou will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.\\n\\nFinally, you will begin to learn about organizations and resources to further research cybersecurity issues in the Modern era.\\n\\nThis course is intended for anyone who wants to gain a basic understanding of Cybersecurity or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.\\n\\nThe completion of this course also makes you eligible to earn the Introduction to Cybersecurity Tools & Cyber Attacks IBM digital badge.  More information about the badge can be found https://www.youracclaim.com/org/ibm/badge/introduction-to-cybersecurity-tools-cyber-attacks\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/","cryptography; cyberattacks; security; digital-forensics; penetration-test; encryption; antivirus-software; forensics; management; computer-security","IT Fundamentals for Cybersecurity",1.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[11.7,24.3]","NA","English","information-technology","cloud-computing","0FMl8S8GEemvsQrYkluC5g"]
["2. Upskill","Cybersecurity","Cybersecurity Compliance Framework & System Administration","IBM","Intermediate",13.1,4.67,"https://www.coursera.org/learn/cybersecurity-compliance-framework-system-administration","This course gives you the background needed to understand the key cybersecurity compliance and industry standards.  This knowledge will be important for you to learn no matter what cybersecurity role you would like to acquire or have within an organization.\\n\\n You will learn the basic commands for user and server administration as it relates to security. You will need this skill to be able to understand vulnerabilities within your organizations operating systems.\\n\\nYou will learn the concepts of endpoint security and patch management.  Both of these topics are important to keep systems current to avoid cybersecurity incidents against an organization.\\n\\nFinally you will learn in depth skills around cryptography and encryption to understand how these concepts affect software within a company.  \\n\\nThis course is intended for anyone who wants to gain a basic understanding of Security Frameworks, Compliance, endpoint management, encryption or cryptography or as the third course in a series of courses to gain the skill as a Jr Cybersecurity analyst.","encryption; hashing; security; null-character; signature; microsoft-windows; cryptography; linux; access-control; server-administrator","IT Fundamentals for Cybersecurity",3.0,"https://www.coursera.org/specializations/it-fundamentals-cybersecurity","There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.\\n\\nThroughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics.\\n\\nThe instructors are architects , Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM with a worldwide perspective. They will share their skills which they need to secure IBM and its clients security systems.\\n\\nThe completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:\\n\\nhttps://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist\\n\\nWant to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.","[6.7,19.9]","NA","English","information-technology","security","r2017VrTEemLEw4J_47EwA"]
["2. Upskill","Cybersecurity","Cybersecurity Awareness and Innovation","EIT Digital","Beginner",3.9,4.28,"https://www.coursera.org/learn/cybersecurity","It’s not you, it’s me! What’s going on? \\n\\nThis course empowers students, professionals and wider community to deal with cybersecurity attacks and risks focused on identity management and it is an introduction to the upcoming full course focused on cybersecurity awareness.\\nIt is provided a practical overview of challenging issues like identity credentials management and security, e-mail threats and web impersonation, or web hacking. In addition to this, you will have a practical appreciation to innovation applied to these concepts through an interview with a renowned expert in fraud and cybercrime. Teaching staff consists of Iván Pau, UPM researcher and expert in usable security, and Román Ramírez, hacker and cybersecurity expert.  \\nLearning will be carried out by introducing use cases related with cybersecurity incidents, in a way which ensures that participants get really involved in the course. You will easily acquire practical skills and be ready to face real threats in a digital world.\\n\\nThis course is part of an online programme developed by Universidad Politécnica de Madrid (world class tech university renowned for the quality of its education programmes and the research undertaken at its centres), Ferrovial (world's leading private investor in cities and infrastructures, with a workforce of more than 74.000 employees and operations in more than 16 countries) and EIT Digital.\\n\\nStay tuned for the full course! COMING SOON!","email; awareness; security-awareness; computer-security; threat; password; identity-management; security; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[2.1,4.5]","NA","English","information-technology","security","EPE3_nfpEemlDg5HMbzNvA"]
["2. Upskill","Cybersecurity","International Cyber Conflicts","The State University of New York","Intermediate",8.7,4.44,"https://www.coursera.org/learn/cyber-conflicts","By nature, cyber conflicts are an international issue that span across nation-state borders. By the end of the course, you will be able to apply the knowledge gained for analysis and management of international cyber incidents and conflicts including for activities such as development of policy related to cybercrime and cyberwarfare. Management of cyber incidents and conflicts requires an interdisciplinary perspective including an understanding of: 1) characteristics of the cyber threats and conflicts themselves, 2) international efforts to reduce and improve cyber security, and 3) psychological and sociopolitical factors. \\n\\nThe course is designed to reach an international audience and will encourage discussion on relevant current events among participants to enrich the experience with various personal and cultural perspectives on cutting-edge issues. In addition, assignments and other assessments will supplement video lectures and selected readings to ensure application of the material.\\n\\n\\nAfter taking this course you will be able to:\\n\\n• Identify different types of actors involved in cyber threats (individuals, organizations & nation-states)\\n• Distinguish between different types of threats and issues in cyber security including, data theft, political espionage, critical infrastructure protection, and propaganda\\n• Detail the basic characteristics of the Internet infrastructure and international efforts to address Internet governance\\n• List several international efforts to address cyber crime and espionage\\n• Evaluate how principals that govern international conflicts might be applied in context of cyber security\\n• Apply different psychological theories of human motivation and cooperation and communication and political theories in analysis of different international issues related to cyber security including censorship, media operations and role of social technologies.\\n\\n\\nGrading:\\n\\nYour grade is assessed based on discussion posts and quizzes. Individual taking this course for credit (i.e. students at the University at Albany y will be required to engage in additional activities communicated to them directly). \\n\\n\\nRecommended Background:\\n\\nNo background knowledge or skills are necessary, but an understanding and familiarity of cyber security, Internet infrastructure and international law would be advantageous for anyone who participates in the course.\\n\\n\\nACKNOWLEDGEMENTS\\n\\nErsin Dincelli and Nic DePaula were the instructional designers for the course who assisted in the recording of the videos, reviewing material, creating slides, assessments and some of the content. Without their tremendous effort this would not have been possible. We also acknowledge the financial support for the recordings from the University at Albany as well as the support from Media and Marketing. Finally, thanks to Lisa Stephens who is the SUNY liaison to Coursera for being a strong supporter of the MOOC.","international-law; architecture; internet; internet-protocol; confidence; security; cyberwarfare; law; cybercrime; computer-security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.7,10.6]","NA","English","computer-science","computer-security-and-networks","8TKORJrSEeW6bw4ogk2HGQ"]
["2. Upskill","Homeland Security","Homeland Security & Cybersecurity Connection - It's Not About the Terrorists","University of Colorado System","Intermediate",6.9,4.66,"https://www.coursera.org/learn/homeland-security-cybersecurity-connection","Welcome to Course 1 in CS4950, Homeland Security and Cybersecruity. In this course we examine the origins of homeland security and its connection with cybersecurity. Homeland security is about safeguarding the United States from domestic catastrophic destruction. Catastrophic destruction comes in two forms: natural and man-made. For most of history the man-made variety came in the form of warfare and required the combined resources of a nation state. All that changed March 20th, 1995. On that date, members of a quasi-religious cult in Japan attacked the Tokyo subway system using Sarin gas. It was the first deployment of a weapon of mass destruction my a non-state actor. The power of destruction once reserved to nation states was now available to small groups, even individuals. The incident was a wake up call for governments around the world. Defense establishments designed to keep rogue states in check were practically useless against non-state actors. Overnight, the number of potential enemies multiplied a hundred, maybe even a thousand-fold. In response to the Tokyo Subway Attacks, the United States took measures to protect itself from WMD attack by non-state actors. Those measures were still being enacted when the nation was attacked on 9/11. On September 11, 2001, nineteen hijackers inflicted as much damage as the Imperial Japanese Navy on December 7, 1941. The investigating 9/11 Commission noted the attacks for their \"surpassing disproportion\". The hijackers had achieved WMD effects without using WMD. They did this by subverting the nation's transportation infrastructure, turning passenger jets into guided missiles. Again, the security implications were profound. Non-state actors seeking to inflict domestic catastrophic destruction did not need to import, fabricate, or acquire WMD as the nation was surrounded by the means of its own destruction in the form of critical infrastructure. The vulnerability of critical infrastructure had not gone unnoticed. Again, in response to the Tokyo Subway attacks, which themselves had been an attack on Japanese infrastructure, President Clinton in 1996 commissioned a panel to investigate the threat to United States' infrastructure. The panel replied in 1997 that there was no immediate threat to US infrastructure, but they were concerned with the growing risk of cyber attack. The same cyber physical systems that fueled the explosive growth of the Internet were being incorporated into Industrial Control Systems that underpinned much of the nation's critical infrastructure. The panel noted that the knowledge and skills necessary to mount a cyber attack on the nation's infrastructure was growing. As a result of this observation, President Clinton in 1998 ordered the protection of US critical infrastructure, especially from cyber attack. Following 9/11, critical infrastructure protection and cybersecurity were designated core missions in the 2002 Homeland Security Act establishing the new Department of Homeland Security. They remain core missions to this day, but many don't see the connection. The connection is this: cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.  I look forward to working with you in the coming lessons.  Best wishes and good luck!\\n\\nCourse 1: Homeland Security & Cybersecurity Connection\\nCourse 2: Cybersecurity Policy for Water and Electricity Infrastructures\\nCourse 3: Cybersecurity Policy for Aviation and Internet Infrastructures\\nCourse 4: Homeland Security & Cybersecurity Future","home-network; cyberwarfare; history; statistical-classification; thought; computer-security; security; home-directory; land; integration-testing","Homeland Security and Cybersecurity",1.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[3.7,9.6]","NA","English","social-sciences","governance-and-society","PxtXqrjVEeaNVQ4ho5Fvgg"]
["2. Upskill","Homeland Security","Homeland Security and Cybersecurity Future","University of Colorado System","Intermediate",7.5,4.72,"https://www.coursera.org/learn/homeland-security-cybersecurity-future","This course takes a look at the future of cybersecurity with respect to what is being done to lessen the potential for catastrophic destruction resulting from cyber attack on critical infrastructure.  In this respect, we take a short survey of potential technological solutions and response options.  We conclude this module by taking a look at unique aspects of the cyber profession and personal considerations for those who want to make cybersecurity a career.","analytics; security; common-sense; awareness; risk-management; critical-infrastructure-protection; computer-security; integration-testing; risk; management","Homeland Security and Cybersecurity",4.0,"https://www.coursera.org/specializations/homeland-security-cybersecurity","Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.","[2.7,10.4]","NA","English","social-sciences","governance-and-society","I9K1SdkZEea7lQ7A_W1MbA"]
["2. Upskill","Homeland Security","Risk in Modern Society","Universiteit Leiden","Intermediate",12.9,4.74,"https://www.coursera.org/learn/risk-in-modern-society","Risk has become one of the defining features of modern society. Almost daily, we are preoccupied with assessing, discussing, or preventing a wide variety of risks. It is a cornerstone notion for businesses and organizations, but also for nation states and their many levels of government. And even for individuals, risk and the avoidance or embracing thereof, is a key theme.\\n\\nThe course Risk in Modern Society sheds light on the broad concept of risk. In five distinctive weeks, this course closely examines various types of safety and security risks, and how these are perceived and dealt with in a wide array of professional and academic fields, ranging from criminology, counter-terrorism and cyber security, to philosophy, safety and medical science. Developed in collaboration with scholars from three universities (Leiden, Delft and Erasmus), this course will search for answers to questions such as: “what is risk?”, “how do we study and deal with risk?”, “does ‘perceived risk’ correspond to 'real' risk?”, and “how should we deal with societal perceptions of risk, safety and security?","materials; terrorism; perception; well; history; risk-management; analysis; risk; management; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.5,14.6]","French","English","social-sciences","governance-and-society","plyulkq0Eee4pw7hxA2o1A"]
["2. Upskill","Homeland Security","Security & Safety Challenges in a Globalized World","Universiteit Leiden","Intermediate",18.2,4.74,"https://www.coursera.org/learn/security-safety-globalized-world","Security and safety challenges rank among the most pressing issues of modern times. Challenges such as, cyber-crime, terrorism, and environmental disasters impact the lives of millions across the globe. These issues also rank high on the agenda of politicians, international organizations and businesses. They also feature prominently in the public conscience and in governmental policies. \\n\\nIn the current, interconnected world, security challenges are becoming increasingly complex. Facilitated by developments as globalization and the spread of networked and hyper-connected technologies, new safety and security challenges arise and impact local, national, regional and international levels, which dramatically increases their complexity and scale. As such, solutions to contemporary security challenges require a wide array of actors operating on multiple levels of governance.\\n\\nThe course will introduce you to the broad theme of security and safety in an increasingly complex world. Together we will search for answers to important questions: what is security and safety? How can we understand complex modern-day security and safety challenges?  And how do we deal with such challenges?  This course combines scholarly inquiry from multiple disciplines (ranging from terrorism studies, to crisis management, to medical science) with real-life cases to explore and understand complex modern-day safety and security challenges.","security-management; international-relations; security; crisis; safety; risk; risk-management; learning; analysis; management","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10.6,20.1]","NA","English","social-sciences","governance-and-society","Wi2dvnjIEea2bgrd8gaF3w"]
["2. Upskill","Privacy","Security and Privacy in TOR Network","University of Colorado System","Intermediate",12.5,4.4,"https://www.coursera.org/learn/security-and-privacy-in-tor-network","In this MOOC,  we will learn about TOR basic concept and see how they protect the security and privacy of users and resist censorship. We will examine how TOR realize the anonymity and utilize its service by downloading and using Tor browser software. A recent attack on TOR’s application flow control called sniper attacks is analyzed.  We introduce the hidden service provided by TOR and show how it can be denonymized.  We will learn how to setup a hidden server to provide web service on AWS instance. We will also learn the best practices and operational security in providing the hidden services.  We will learn how to manage the hidden server using Tor circuit and configure the web server not to reveal the software version information.  We also show how it can be defended.   To improve TOR’s performance, we discuss the cloud based TOR and their implementation. \\nBy the end of this course, you should be able to utilize TOR browser to protect  your privacy, set up hidden service on current interface  that protect your servers and make it anonymous, you will choosing entry guards wisely since your adversary will try to attack them with DDoS traffic and force you to choose their relay as your entry and exit router. We will also learn the basic components of both censorship and censorship resistance systems, and the scheme deployed by these systems and their attacks.","distributed-computing; computer-security; internet-security","Advanced System Security Design",3.0,"https://www.coursera.org/specializations/advanced-system-security-design","This specialization is intended for intermediate level learners with basic programming skills and basic cybersecurity knowledge. Through this course learner will learn about advanced secure software techniques such as those for cloud computing, TOR, web-based cryptography, and geo-location/context based access control. With these techniques, learners will be better prepared to implement new security and privacy preserving data security features, to perform secure system design and implementation, vulnerability analysis, and Securely Provision (SP), Operate and Maintain (OM), Oversee and Govern (OV), Protect and Defend (PR), Analyze (AN), Collect and Operate (CO), and investigate (IN) tasks.","[6.3,18.7]","NA","English","computer-science","computer-security-and-networks","JPmcFWqcEeecwwoEvbWpsg"]
["2. Upskill","Privacy","Security and Privacy for Big Data - Part 2","EIT Digital","Advanced",3.7,4.09,"https://www.coursera.org/learn/security-privacy-big-data-protection","This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control. You will look at decent-sized big data projects with privacy-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. \\n\\nIf you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and privacy, this course will suit you as well.","general-data-protection-regulation; information-privacy; data-protection; privacy; encryption; data-security","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[1.5,4.8]","NA","English","information-technology","data-management","9QkSLTXREemXORL4USiTDg"]
["2. Upskill","Privacy","Privacy in the Western World","EIT Digital","Beginner",11.2,5.0,"https://www.coursera.org/learn/history-privacy-laws","Welcome to this course about privacy. \\n\\nWe are thrilled to see that you are interested and will provide you with a comprehensive study of this intriguiging subject. We hope this course will enthuse you to look further into privacy and personal data regulation. Especially in the light of recent events it becomes more important to know about your (alleged!?) rights and freedoms. \\n\\nAfter showing you a number of interesting examples of privacy in recent events, this course continues to provide you with an historic introduction, and varying cases and court decisions. It will guide you through the cultural and legal changes in perception of privacy over time. Sometimes with a more technological perspective. Notably, in the Western world differences have accumulated over time and the differences between the USA and Europe will be explained extensively in the follow-up courses. \\n\\nThrough video lectures and quizzes we endeavor to build a solid foundation for you to construct a well-founded opinion on privacy. Last but not least we sincerely hope you enjoy the course! \\n\\nProf.mr.dr. Jan Smits","privacy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[5.9,14.7]","Chinese","English","social-sciences","law","1zAbIKS1Eei1igqyy64WCg"]
["2. Upskill","Privacy","Privacy in Europe","EIT Digital","Intermediate",13.2,"NA","https://www.coursera.org/learn/privacy-eu","After having followed Privacy in the Western world you have become acquainted with the overall global legal system and the origins of privacy as a concept as well as privacy as a (human) right. This course deals with the European legal system to protect privacy. European privacy protection is based upon human rights treaties, both on a European level as well global level such as, e.g. the UN Declaration on Human Rights. This course outlines and deals with these human rights treaties as well as with the specific rules and regulations that govern day to day privacy protection in Europe. \\n\\nThe course deals with how the European cooperation came into being after the devastating effects of World War II. Economic cooperation was deemed necessary to prevent another war. From economic cooperation other issues became part of the negotiations, and to this day more and more policy fields have become part of the European cooperation. Dealing with and having respect for different human rights is paramount in this cooperation. And privacy protection and regulation has become an increasingly important subject that has attracted a lot of global attention. \\n\\nThe course deals with the different legal elements that have played an important role into grabbing in legal terms the notion of privacy and how the legally protect it. The rules that enable the exchange of personal data between the USA and Europe is being dealt with. It also deals with the constituting legal elements that have become part of the General Data Protection Regulation (GDPR). \\n\\nAfter successful completion of the course you will have sufficient baggage to know about the important legal elements and historical background on the coming into being of European privacy protection. I wish you a lot of success with following the course.","data-protection; privacy; personally-identifiable-information; general-data-protection-regulation","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[7.8,16.8]","NA","English","social-sciences","law","AjlTQBNgEemTvA4VQth7QA"]
["2. Upskill","Privacy","Privacy in the USA","EIT Digital","Intermediate",16.3,4.33,"https://www.coursera.org/learn/privacy-laws-us","Welcome to this course about privacy in the United States, \\n\\nWe are thrilled to see that you are interested in this follow-up course on 'privacy in the western world'. This course will drill down more in the privacy subject in US context. \\n\\nThrough video lectures and quizzes we endeavor to build a solid foundation for you to construct a well-founded opinion on privacy. Last but not least we sincerely hope you enjoy the course! \\n\\nProf.mr.dr. Jan Smits","privacy","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[10,19.8]","NA","English","social-sciences","law","20cUeRNfEemsugpc-osVtg"]
["2. Upskill","Privacy","Teaching Impacts of Technology: Data Collection, Use, and Privacy","University of California San Diego","Beginner",14.8,5.0,"https://www.coursera.org/learn/teach-impacts-technology-data","In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level. \\n\\nThis course is part of a larger Specialization through which you’ll learn impacts of computing concepts you need to know, organized into 5 distinct digital “worlds”, as well as learn pedagogical techniques and evaluate lesson plans and resources to utilize in your classroom. By the end, you’ll be prepared to teach pre-college learners to be both savvy and effective participants in their digital world.\\n\\nIn this particular digital world (personal data), you’ll explore the following Impacts & Technology pairs --\\n\\nImpacts (Show me what I want to see!): Internet Privacy, Custom Ads, Personalization of web pages\\nTechnologies and Computing Concepts: Cookies, Web vs Internet, https, Web Servers\\n\\nImpacts (Use my data…. But protect it!): Common Cybersecurity knowledge levels, ISP data collection, Internet design, finding out what is known about you online, software terms and services\\nTechnology and Computing Concepts: DNS, Cryptography (ciphers, hashing, encryption, SSL), Deep and Dark Web\\n\\nImpacts (What could my data do for me in the future?): What is Big Data, Machine Learning finds new music, Wearable technologies.\\nTechnology and Computing Concepts: AI vs ML, Supervised vs Unsupervised learning, Neural Networks, Recommender systems, Speech recognition\\n\\nIn the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to apply Bloom’s taxonomy to create meaningful CS learning objectives, the importance of retrieval-based learning, to build learning activities with online simulators, and how to use “fun” books to teach computing.\\n\\nIn terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept.  Practices we cover include “fostering and inclusive computing culture”, “recognizing and defining computational problems”, and “communicating about computing”.","personalization; preference; want; data-protection","Teaching Impacts of Technology in K-12 Education",2.0,"https://www.coursera.org/specializations/teach-impacts-technology-k12-education","2% That’s the estimate of how many high school students in all of California took a Computer Science class in 2015. And yet, computers and data are everywhere. Just consider a typical 24 hours in your life … how many different computer devices do you use? We all live in multiple digital worlds that are changing rapidly with new apps, devices, and data analyses offering a constant stream of innovations and technology integrations for our lives.\\n\\nAs it's an integral part of our lives, we’re working towards computer science for all - making it possible for every student, every future member of society, to understand computing and technology. To do so, we need teachers. Teachers prepared to both teach computational concepts and use best practices so kids enjoy and see they can be successful in computer science. This is where you (and this Specialization) come in!\\n\\nIn this Specialization you will both learn about the impacts of computing in our world and how to teach these impacts to K-12 students. We offer both the technical knowledge and also the pedagogical approaches for teaching these concepts. Along the way you’ll engage with freely available materials you can use in your own classroom, as well as learn from teachers currently teaching these concepts in their classrooms.\\n\\nIn short - in this Specialization we'll teach you the computing concepts you need to know and then help you explore and evaluate lesson plans and resources to prepare you for your classroom.","[10.9,18.7]","NA","English","social-sciences","education","u_VV_Tj5Eei_lQp5mMC3cA"]
["2. Upskill","Security","Industrial IoT Markets and Security","University of Colorado Boulder","Intermediate",18.2,4.48,"https://www.coursera.org/learn/industrial-iot-markets-security","This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nDeveloping tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.\\n\\nThis is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all \"Internet of Things\" product development.\\n\\nIn this course students will learn :\\n  * What Industry 4.0 is and what factors have enabled the IIoT\\n  * Key skills to develop to be employed in the IIoT space\\n  * What platforms are, and also market information on Software and Services\\n  * What the top application areas are (examples include manufacturing and oil & gas)\\n  * What the top operating systems are that are used in IIoT deployments\\n  * About networking and wireless communication protocols used in IIoT deployments\\n  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication","security; internet; list-of-facebook-features; wireless; edge-computing; integration-testing; encryption; cryptography; internet-of-things; source-code","Developing Industrial Internet of Things",1.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[6.3,21.7]","NA","English","computer-science","design-and-product","88AS74tsEeiIKw52w5bZOA"]
["2. Upskill","Security","Industrial IoT Markets and Security","University of Colorado Boulder","Intermediate",18.2,4.48,"https://www.coursera.org/learn/industrial-iot-markets-security","This course can also be taken for academic credit as ECEA 5385, part of CU Boulder’s Master of Science in Electrical Engineering degree.\\n\\nDeveloping tomorrow's industrial infrastructure is a significant challenge. This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth: The Industrial Internet of Things (IIoT), also known as Industry 4.0. Cisco’s CEO stated: “IoT overall is a $19 Trillion market. IIoT is a significant subset including digital oilfield, advanced manufacturing, power grid automation, and smart cities”.\\n\\nThis is part 1 of the specialization. The primary objective of this specialization is to closely examine emerging markets, technology trends, applications and skills required by engineering students, or working engineers, exploring career opportunities in the IIoT space. The structure of the course is intentionally wide and shallow: We will cover many topics, but will not go extremely deep into any one topic area, thereby providing a broad overview of the immense landscape of IIoT. There is one exception: We will study security in some depth as this is the most important topic for all \"Internet of Things\" product development.\\n\\nIn this course students will learn :\\n  * What Industry 4.0 is and what factors have enabled the IIoT\\n  * Key skills to develop to be employed in the IIoT space\\n  * What platforms are, and also market information on Software and Services\\n  * What the top application areas are (examples include manufacturing and oil & gas)\\n  * What the top operating systems are that are used in IIoT deployments\\n  * About networking and wireless communication protocols used in IIoT deployments\\n  * About computer security; encryption techniques and secure methods for insuring data integrity and authentication","security; internet; list-of-facebook-features; wireless; edge-computing; integration-testing; encryption; cryptography; internet-of-things; source-code","Developing Industrial Internet of Things",1.0,"https://www.coursera.org/specializations/developing-industrial-iot","The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here.\\n\\nIn this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You'll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.","[6.3,21.7]","NA","English","computer-science","design-and-product","88AS74tsEeiIKw52w5bZOA"]
["2. Upskill","Security","Information Security: Context and Introduction","University of London","Intermediate",46.3,4.6,"https://www.coursera.org/learn/information-security-data","In this course you will explore information security through some introductory material and gain an appreciation of the scope and context around the subject. This includes a brief introduction to cryptography, security management and network and computer security that allows you to begin the journey into the study of information security and develop your appreciation of some key information security concepts.\\n\\nThe course concludes with a discussion around a simple model of the information security industry and explores skills, knowledge and roles so that you can determine and analyse potential career opportunities in this developing profession and consider how you may need to develop personally to attain your career goals. \\n\\nAfter completing the course you will have gained an awareness of key information security principles regarding information, confidentiality, integrity and availability. You will be able to explain some of the key aspects of information risk and security management, in addition, summarise some of the key aspects in computer and network security, including some appreciation of threats, attacks, exploits and vulnerabilities. You will also gain an awareness of some of the skills, knowledge and roles/careers opportunities within the information security industry.","incident-management; security; security-management; cryptography; information-security; encryption; computer-security; management; network-security; null-character","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[11.7,81.3]","Vietnamese; Arabic","English","computer-science","computer-security-and-networks","bAjl9C8gEeau1RIy_DW-kQ"]
["2. Upskill","Terrorism","Understanding Terrorism and the Terrorist Threat","University of Maryland, College Park","Intermediate",21.9,4.72,"https://www.coursera.org/learn/understandingterror","The National Consortium for the Study of Terrorism and Responses to Terrorism (START), a Department of Homeland Security Center of Excellence housed at the University of Maryland, offers a course looking at the who, what and how of Terrorism Studies, by introducing students to cutting-edge research from the social and behavioral sciences and the experts investigating these topics.  \\n\\nThe course will begin with a unit looking at widely held myths about terrorism and utilizing empirical data to discuss the realities of broad trends and patterns in terrorist attacks over time. The course will then review the psychological factors at play in individual radicalization and recruitment into terrorism, followed by an analysis of terrorist group dynamics. The course will next look at terrorist group operations, including their attacks and some of the supporting behaviors that allow them to carry out attacks, including use of media, financing, recruitment, and training. The course will conclude by looking at the factors that drive terrorist group persistence or endurance versus terrorist group desistance, and will bring the varied course concepts together through a detailed look at the case of Al-Qa’ida.  \\n\\nThroughout the course, students will have the opportunity to study and work with the University of Maryland’s Global Terrorism Database (GTD), the largest database of terrorist incidents in the world, learning its capabilities and developing basic skills in searching and displaying terrorism data.","critical-thinking; terrorism; integration-testing; database; qualitative-research; learning; international-relations; statistics; analysis; recruitment","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[14.3,26.5]","Greek; Spanish","English","social-sciences","governance-and-society","nzM4LgHTEeaosAqqqSjfcQ"]
["2. Upskill","Terrorism","Terrorism and Counterterrorism: Comparing Theory and Practice","Universiteit Leiden","Intermediate",22.3,4.71,"https://www.coursera.org/learn/terrorism","Terrorism has arguably been one of the defining factors of our age. It frequently makes headlines, threatening or attacking governments, private business and ordinary citizens. And in many parts of the world, it has been one of the most important threats to peace, security and stability. But what does this exactly mean? What is the nature of this threat? Who or what is threatened, how, by whom and why? What can be done about it or how can we at least limit the impact of terrorism and make sure that terrorists do not make headlines and manage to scare us?\\n\\nThese are just a handful of questions that will be addressed in this course that consists of three parts. First it focuses on the essence of terrorism as an instrument to achieve certain goals, in addition to an exploration of this phenomenon and the difficulties in defining it. \\n\\nThe second part provides an overview of the state of the art in (counter) terrorism studies. Since ‘9/11’ terrorism studies have grown exponentially, reflecting the rise in perceived threats. But what has academia come up with? What theories, assumptions and conventional wisdom has it produced that could be of help in understanding terrorism and dealing with it? The most interesting results are examined and compared with empirical evidence with the aim to either stress their importance or to debunk them as myths. \\n\\nThe final part looks into the implications and possibilities for policy making. The course ends with a module specifically designed to address one of today's most topical issue: the foreign fighter phenomenon.","counter-terrorism; international-relations; history; law; analysis; terrorism; political-science; policy-analysis; learning; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[12,30.6]","Ukrainian; French","English","social-sciences","governance-and-society","A0IYf6jOEeSnlCIAC1EMbw"]
["2. Upskill","Terrorism","Understanding 9/11: Why 9/11 Happened & How Terrorism Affects Our World Today","Duke University","Beginner",16.3,4.6,"https://www.coursera.org/learn/911-attack","This course will explore the forces that led to the 9/11 attacks and the policies the United States adopted in response. We will examine the phenomenon of modern terrorism, the development of the al Qai'da ideology, and the process by which individuals radicalize towards violence.","terrorism; belief; analysis; integration-testing","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[9.7,22.3]","NA","English","social-sciences","governance-and-society","QQVzGrY7EeWbNBLZhfEI2Q"]
["2. Upskill","Terrorism","New Approaches to Countering Terror: Countering Violent Extremism","University of Maryland, College Park","Beginner",7.1,4.8,"https://www.coursera.org/learn/countering-terror-violent-extremism","The “New Approaches to Countering Terror: Countering Violent Extremism” course offered by the National Consortium for the Study of Terrorism and Responses to Terrorism (START), is a multi-week interactive course designed to help students explore both pragmatic and philosophical challenges that continue to shape the evolution of Countering Violent Extremism (CVE), a global security paradigm. START, a Department of Homeland Security Emeritus Center of Excellence and research, training, and education center housed at the University of Maryland within the College of Behavioral and Social Sciences (BSOS), serves as a leading voice in the national and international dialogue regarding CVE. START’s Director and the course instructor, Bill Braniff, will introduce the concept of CVE and explore the promise of CVE as a more comprehensive and proactive approach to the complex phenomenon of violent extremism.\\n\\nThis 3.5 hour course will take an in-depth look at CVE as a relatively new area of policy and practice. As such, this MOOC can serve as an awareness-raising course, targeting anyone interested in terrorism, community resilience, security, policy and/or civil rights issues. The course is broadly interdisciplinary and has no prerequisites. Upon completion of this course, students will be able to:\\n\\n1. Differentiate between two ways of addressing violent extremism: counterterrorism (CT) and Countering Violent Extremism (CVE);\\n2. Explain the CVE spectrum of non-violent approaches to countering terror, including prevention, intervention, and rehabilitation/reintegration programs;\\n3. Make sound analytical judgments about CVE programs and their potential.","security; terrorism; relative-change-and-difference; security-awareness; learning; violent-extremism","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[4.1,9.3]","NA","English","social-sciences","governance-and-society","XwaYFAyFEeaoZBKRisF_Dw"]
["2. Upskill","Terrorism","Paradoxes of War","Princeton University","NA",32.4,4.56,"https://www.coursera.org/learn/war","The Paradoxes of War teaches us to understand that war is not only a normal part of human existence, but is arguably one of the most important factors in making us who we are. Through this course, I hope that you will come to appreciate that war is both a natural expression of common human emotions and interactions and a constitutive part of how we cohere as groups. That is, war is paradoxically an expression of our basest animal nature and the exemplar of our most vaunted and valued civilized virtues. You will learn some basic military history and sociology in this course as a lens for the more important purpose of seeing the broader social themes and issues related to war. I want you to both learn about war, but more importantly, use it as way of understanding your everyday social world. So, for example, the discussion of war and gender will serve to start you thinking about how expectations of masculinity are created and our discussion of nationalism will make clear how easy “us-them” dichotomies can be established and (ab)used. I will suggest some readings for you to complement the class and assign some activities through which you will be able to apply the theoretical insights from the course to your observations of everyday life. At the end of the course, you will start to see war everywhere and come to appreciate how much it defines our life.\\n\\nAll the features of this course are available for free.  It does not offer a certificate upon completion.","terrorism; war; anthropology; military; english-language; history; sociology","Non Specialization","Non Specialization","Non Specialization","Non Specialization","[18.8,39.8]","NA","English","social-sciences","governance-and-society","d_71NKdPEeSOWCIAC2iDyw"]

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[null,null,"Against each competency there is a list of 'Best Courses' recommended by the ST Team",">>>>>>"]
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[null,null,"If you want to go down a further level, there is a list of courses recommended for each skill",">>>>>>"]
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[null,null,"Navigating the Industry Pages"]
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[null,null,"Each industry page has a 'Literacy' use case for introductory content",">>>>>>"]
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[null,null,"Each industry page has an 'Upskill' use case for deeper specialism",">>>>>>"]
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